Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Neotaphonomic characteristics of vertebrate site formation in underwater caves

  • Meg M. Walker ,

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Visualization, Writing – original draft, Writing – review & editing

    meg.walker@griffithuni.edu.au

    Affiliations Australian Research Centre for Human Evolution, Griffith University, Brisbane, Queensland, Australia, Cave Divers Association Australia, Australia

  • Joanne E. Wilkinson,

    Roles Data curation, Investigation, Writing – review & editing

    Affiliations Australian Research Centre for Human Evolution, Griffith University, Brisbane, Queensland, Australia, Geosciences, Queensland Museum, South Brisbane, Queensland, Australia

  • Mathew Stewart,

    Roles Data curation, Formal analysis, Methodology, Writing – review & editing

    Affiliation Australian Research Centre for Human Evolution, Griffith University, Brisbane, Queensland, Australia

  • Geraldine E. Jacobsen,

    Roles Conceptualization, Formal analysis, Funding acquisition, Methodology, Writing – review & editing

    Affiliation Australian Nuclear Science and Technology Organisation, Lucas Heights, New South Wales, Australia

  • Shwaron Kumar,

    Roles Data curation, Formal analysis, Methodology, Writing – review & editing

    Affiliation Australian Nuclear Science and Technology Organisation, Lucas Heights, New South Wales, Australia

  • Vladimir Levchenko,

    Roles Data curation, Formal analysis, Methodology

    Affiliation Australian Nuclear Science and Technology Organisation, Lucas Heights, New South Wales, Australia

  • Stewart Fallon,

    Roles Formal analysis, Methodology, Writing – review & editing

    Affiliation Research School of Earth Sciences, The Australian National University, Canberra, Australian Capital Territory, Australia

  • Rebecca Esmay,

    Roles Data curation, Formal analysis, Methodology, Writing – review & editing

    Affiliation Research School of Earth Sciences, The Australian National University, Canberra, Australian Capital Territory, Australia

  • Rachel Wood,

    Roles Formal analysis, Methodology, Writing – review & editing

    Affiliation School of Archaeology, University of Oxford, Oxford, United Kingdom

  • Justyna J. Miszkiewicz,

    Roles Conceptualization, Methodology, Resources, Supervision, Writing – review & editing

    Affiliations School of Social Science, University of Queensland, Brisbane, Queensland, Australia, Naturalis Biodiversity Center, Leiden, The Netherlands

  • Gilbert J. Price,

    Roles Data curation, Investigation, Resources, Supervision, Writing – review & editing

    Affiliation School of Environment, University of Queensland, Brisbane, Queensland, Australia

  • Elizabeth Reed,

    Roles Conceptualization, Data curation, Methodology, Supervision, Writing – review & editing

    Affiliation School of Biological Sciences, Adelaide University, Adelaide, South Australia, Australia

  • Joseph Monks,

    Roles Data curation, Investigation, Project administration, Writing – review & editing

    Affiliations Australian Research Centre for Human Evolution, Griffith University, Brisbane, Queensland, Australia, Cave Divers Association Australia, Australia

  • Julien Louys

    Roles Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Writing – review & editing

    Affiliations Australian Research Centre for Human Evolution, Griffith University, Brisbane, Queensland, Australia, Cave Divers Association Australia, Australia

Abstract

Recovering well-preserved vertebrate remains from underwater caves has provided critical insights into archaeological and palaeontological records worldwide. However, understanding how bone assemblages form and are modified in underwater environments remains limited due to stable low energy burial conditions that produce time-averaged deposits, and underwater settings that hinder traditional recording and recovery methods. We examine three assemblages of historically deposited and dated non-human, domesticate animal bones from two underwater caves, Green Waterhole and Gouldens Sinkhole, near Mount Gambier, South Australia, encompassing known submerged (wet) and dry burial conditions. The assemblages were examined to assess how wet and dry cave environments impact bone distribution, surface and microstructural modification. Radiocarbon dating of 41 specimens indicates that domesticate fauna were deposited over decadal and centennial timescales, allowing taphonomic signatures to be contextualised through time. Statistically significant differences were identified between wet and dry burial contexts. Bones recovered from wet contexts exhibit mostly better preservation, including skeletal elemental completeness, surface, and microstructure, than those from dry caves. However, some of the submerged specimens also have elevated frequencies of bone surface chemical corrosion with macroscopic evidence for heterogenous black biological staining, algal or biofilm attack, and a distinctive form of circular etching. Histotaphonomy further reveals patterns of peripheral cyanobacterial tunnelling across most bones recovered from submerged contexts. Bones from dry environments were dominated by terrestrially linked tunnelling across all regions of the bone cortex. These findings can be explained by variation in light availability across different cave zones which influences biological activity and, in turn, the expression of taphonomic markers on bone externally and at the microstructural level. This is the first study to provide a benchmark dataset for reconstructing depositional histories and post-depositional reworking of bones in underwater cave environments under a taphonomic framework.

Introduction

Bones recovered from aquatic landscapes are often exceptionally well-preserved, providing some of the best-known assemblages for revealing the lives of past people and ecological communities [15]. This has been particularly evident in underwater (phreatic) caves and sinkholes [6]. However, the origin and site formation processes of these sites have rarely been studied, hindering archaeological and palaeontological investigations [7].

Underwater caves can be environmentally stable with low water flow rates, but conditions can vary across a single site: light exposure is limited to cave entrances, and water may be thermally and chemically distinct across different areas [7,8]. Sediment accumulation is generally limited to deposits transported into the cave (allochthonous), and those that form within the burial environment (autochthonous). These conditions can result in exceptionally preserved remains on the surface of cave floors that are unstratified, comingled, and time-averaged.

A lack of stratification in underwater cave deposits further hinders comprehensive investigations of faunal and archaeological change through time. Key to near shore phreatic cave environments are shifting water tables, from relatively small seasonal fluctuations to extreme global changes that occur with cyclical and long term glacial-interglacial cycles [9]. The presence or absence of water in these caves alters site formation processes and taphonomic histories, thus identifying wet or dry deposition in such sites could aid in narrowing the timing of depositional windows [7].

Determining when and how a bone is modified under different conditions is informed by actualistic studies that observe changes to deposits under natural or simulated burial conditions across a measured time scale [10,11]. In taphonomy, this framework establishes a modern benchmark for comparison with archaeological and palaeontological assemblages. In general, the early changes to bones after deposition can be preserved through deep time, captured by the fossilisation process that records changes in the initial burial environments [12,13]. However, to date no actualistic studies have identified the effects of different underwater cave landscapes, such as variations in physical structures, hydrology and chemistry, biological communities, and light exposure on the taphonomy of vertebrate remains [7].

Actualistic taphonomy has traditionally focused on taxonomic composition (e.g., [3,4,14]) and decomposition patterns (e.g., [1517]), with only a few investigations identifying modifications to bone surfaces and microstructure [1820]. Examining bone surface modifications (BSMs) and histotaphonomy, the taphonomic study of tissue microstructure, may be essential in underwater cave settings where traditional excavation and recording methods are limited by environments prone to ‘silting out’ [6]. The accumulation of BSMs create (or remove) layers of alterations associated with the death of animals, movement or disturbance of remains, and interactions with local burial agents such as sediment, chemistry, and microbiota [21]. Linking BSM morphology and expressions of modification to taphonomic agents creating these changes has shown differences between permanently wet, dry, or changing hydrological and burial conditions in a temperate landscape [19]. Across a thirty-year actualistic study in Neuadd, Wales, submerged bones exhibited no rodent gnawing but did show corroded surfaces, and biotic attack by moss, algae, and lichen which resulted in different corrosive patterns and in black stains across bone surfaces [19].

Aquatic-specific taphonomic agents have also been identified across different hydrological and site conditions [7], but many of these are not applicable to underwater cave systems. Low water flow in many submerged cave conduits and sinkholes will limit the sediment abrasion and polishing across bones that is typically reflective of high energy environments [2224]. Compared to marine and fluvial landscapes, flora and fauna are limited in terrestrial underwater caves, further restricting the degree of degradation to bone surfaces [2528]. Floral communities that can produce pitting, staining, and general corrosion [19,21] are likely to be restricted to the entrance zones of cave systems due to light availability [8].

In histotaphonomy, measures of bone histological integrity have been used to study burial environments [2931]. Aquatic diagenesis, the structural alteration of biomineralised tissues [30,32,33], differs from dry, terrestrial diagenesis. Whilst bacterial diagenesis has been shown to be decoupled from burial conditions in terrestrial settings [34], the DNA of aquatic cyanobacteria has been linked to a distinct form of microstructural bone tunnelling (Wedl-tunnelling) [35]. Proliferation of radial microcracks across the secondary osteon cement line, a highly mineralised boundary of a fundamental cortical bone building unit, has also been linked to decay of bone collagen underwater [36], and used to infer aquatic submersion in palaeontological deposits [37,38]. Embedded foraminifera were also identified in bone microstructures from aquatic settings, but these are limited to marine environments and sea caves [39].

Biotic modifications and loss of the organic content of bone are also linked to early stages of diagenesis in aquatic environments [13,36,40]. However, the timing and expression of diagenesis is inconsistent in submerged and terrestrial forensic settings [34,41,42]. For example, in an experimental study of submerged domesticate sheep bones under different chemical conditions, wet bones exhibited greater collagen loss and increased porosity after 12 months compared to those left in dry settings [43]. Cyanobacteria linked Wedl-tunnelling occurred in waterlogged sand as early as four weeks [43], although its expression and timing tend to vary across environmental conditions as reported by others [42]. Thus, identifying when in the early diagenetic period histotaphonomic features occur in underwater caves is likely dependant on the site type (sinkhole, conduit) and local conditions.

Thus, submersion will affect the spatial distribution, surface modification, and microstructural levels of bones deposited in such contexts [7]. Here, we examine the effects of the underwater conditions on non-human animal bone preservation at two submerged cave systems in southeast South Australia, Green Waterhole (cave) and Gouldens Sinkhole (cenote). We focus on the taphonomy and diagenesis of bones to document depositional processes, patterns across bone surfaces, and microstructure at different underwater cave sites (intra-site), and within a cave site (inter-site). Our aim is to identify patterns that distinguish early wet from dry bone modifications in caves, in the expectation that it will provide resolution of time-averaged fossil deposits in caves that experience fluctuating water levels due glacial-interglacial conditions.

Materials and methods

Study sites

Green Waterhole (also known as Fossils Cave, 5L-81) and Gouldens Sinkhole (5L-8) are two caves formed through phreatic karst dissolution and collapse processes in the Gambier Limestone Formation of southeast South Australia (Fig 1). Green Waterhole is a doline collapse cave with two submerged conduits on the northwestern and southeastern sides of a dry silt talus cone (Fig 2; [44]). The dry, central doline is exposed to aerial conditions, without an overhead environment, whilst the margin of the doline is protected by the entrance zone ceiling. The cave is situated adjacent to a highway, surrounded by pastoral fields and pine forests, with the perimeter of the site fenced off. On the Hundred of Hindmarsh, 1867 Map (Section 3), the site is marked as a reserve. A large assemblage of vertebrate remains associated with extinct, extant and domestic taxa was collected from the southeastern underwater cave [4,46,47].

thumbnail
Fig 1. Site images of Green Waterhole (A-B) and Gouldens Hole (C-D).

A) Green Waterhole (5L81) collapsed doline looking east; B) Green Waterhole northwest lake with aquatic flora across margins; C) Gouldens Hole (5L8) looking north looking towards sinkhole across artificial ramp access path and pumphouse; D) Gouldens Sinkhole looking north across exposed lake towards vertical walls pocketed with phreatic, vertical tunnels.

https://doi.org/10.1371/journal.pone.0343896.g001

thumbnail
Fig 2. Site maps of Green Waterhole (A) and Gouldens Sinkhole (B), and associated recovery locations.

A1) map of gridded Green Waterhole, plan view; A2) cross section view of Green Waterhole; A3) inset of A1, surface collection map across dry doline, plan view; A4) inset of A2, collection depths across Green Waterhole West Lake at Grid B3, cross section view; B1) gridded map of Gouldens Sinkhole with approximate locations and depths of collection points, plan view; B2) collection depths across Gouldens Sinkhole, cross section. Maps adapted and redrawn from original survey reports [44,45].

https://doi.org/10.1371/journal.pone.0343896.g002

Gouldens Sinkhole is a round sinkhole, 29 metres in diameter at water surface and 63 metres below surface (Fig 1). The sheer vertical sides of the open sinkhole leads to a submerged overhead environment (Fig 2). The site, currently fenced off as a cave reserve, sits in a pastoral setting. A large access ramp was built into the side of the sinkhole (date unknown), likely to provide stock access to water. An abandoned historic pump house sits at the bottom of the ramp (1940s - 50s). Approximately 2,500–3,000 cubic meters of excavated rubble was pushed into the sinkhole, increasing the size of the central talus cone [45]. Material found on top of the talus cone postdates the path’s construction while deeper assemblages include bones deposited prior to the construction.

All necessary permits were obtained for the described study, which complied with all relevant regulations. Permissions to conduct scientific diver investigations were provided by the Department for Environment and Water (DEW) and the South Australian Heritage Council (Permit No. 0001/23) and supported by the Cave Divers Association of Australia.

Assemblage

Recent (<250 years old) assemblages of non-human domesticate fauna skeletal elements were collected from Green Waterhole (GW) and Gouldens Sinkhole (GH) in April 2023 from submerged (wet) and surface (dry) burial contexts. Whilst domesticate animal bones were targeted for analysis, limiting deposition to within the period of European arrival to Mount Gambier, few native fauna remains collected were also analysed. Three distinct assemblages were collected from the two sites, with discrete collection locations varying in hydrological context and depth (Table 1). Specimens were collected on top of the submerged cave floor sediment at different depths below the water’s surface (wet), and across the surface floor of the doline collapse area at GW (dry) (Fig 2). For each submerged site, bones associated with shallow depths were recovered near the entrance of the cave, while those at deeper points were under an overhead environment. Location and photographic context were recorded for each specimen prior to collection. However, silting out after collection limited visibility and thus the possibility of further in situ analyses. With reduced visibility and inability to use classic terrestrial field recording techniques, it was not possible to determine if bones from the same depths were articulated and belong to the same individual.

thumbnail
Table 1. Site assemblages and associated hydrological context and specimen frequencies.

https://doi.org/10.1371/journal.pone.0343896.t001

At Green Waterhole, bones were collected from the submerged, wet ‘Green Waterhole West’ lake (GWW) and dry ‘Green Waterhole Surface’ (GWS) (Fig 2). The western lake (GWW) was targeted to minimise the effects of frequent diving activities, common in the eastern lake, and it was less disturbed by previous palaeontological research programs [4]. In the submerged lake, skeletal specimens were collected from five collection locations across either an allochthonous silty humic clay sediment near the entrance, or an autochthonous fine, powdery clayey carbonate sediment within the overhead cave environment [4]. Specimens collected from deeper regions of the cave experienced less light exposure than those higher and towards the entrance. The dry surface assemblage was collected across seventeen discrete locations from or on top of humic sediment. Seasonal water level fluctuations, and historically higher ground water levels suggest that bones collected from the perimeter of the doline at the water’s edge experienced wet conditions in the past [48]. Dumped refuse around the margins of the doline contained fragments of glass, plastic, PVC pipe, metal, and ceramics intermixed with bone.

At Gouldens Sinkhole (GH), bones were collected from nine collection locations on sediments resembling those at Green Waterhole (Fig 2). Specimens collected from within the sinkhole are presumed to have been underwater since deposition. Those found deeper, towards the back of the cave in the overhead environment, experienced decreased light exposure. One ‘dry’ specimen was collected from the artificially constructed ramp, emphasising its association with a historic or modern period. A specimen collected from a shallow underwater shelf (−0.3m) likely experienced seasonal hydrological flux. Historic refuse, including metal fragments and a dead tree, were spread across the sinkhole talus cone.

Waterlogged bones were immediately sealed in insulated containers, then transported to and slowly dried out under controlled laboratory conditions. When bones were completely dry, debris were removed using dry brushes to limit exfoliation of bone surfaces, and ethanol, acetone or water was applied to spot clean localised areas of bones where required. Delamination was monitored across the drying and cleaning processes.

Forty-two skeletal samples (Table 4 in S1 Appendix) were submitted for radiocarbon analysis to the Australian Nuclear Science and Technology Organisation (ANSTO) [49] (12 samples) and the Australian National University (ANU) Radiocarbon Laboratory [50,51] (30 samples). Historic assemblages are rarely analysed because calibrated ages have large and/or multiple age ranges, due to rapid fluctuations in atmospheric radiocarbon content, in part due to the impact of bomb testing and industrialisation on the radiocarbon calibration curve (“the Suess effect”; [52,53]). To offset this problem, this work groups bones deposited across two time periods: decadal (<50 years) and centennial (>50, < 185 years for domesticates and <1000 for native fauna). Each group was defined and examined to determine if the accumulation of taphonomic modifications on bone occurs at different temporal resolutions. Age groups are defined using historic documentation of European occupation starting in the Mount Gambier region from 1841 [5456], and the period of intense atomic bomb testing that markedly increased atmospheric radiocarbon content [57,58]. Radiocarbon methods are outlined in S1 Appendix.

Skeletal analysis

Bones were identified to the lowest taxonomic unit and size class [59]. Skeletal element, epiphyseal fusion, and side were recorded [60]. Fragmentation (breakage index) and completeness [18,61], shape and size of specimens [60,62,63], and butchery and burning patterns and portions [64] were measured to assess site formation processes (details in S1 Appendix). Spatial analyses were limited to changes across depth. To quantify the assemblages [65,66], the number of identifiable species (NISP), and minimum number of individuals (MNI) were calculated based on the zonation method proposed by Dobney and Rielly [67], and taking into consideration side, fusion stages, and refitting analysis. Fifteen specimens were selected for taxonomic identification through Zooarchaeology by Mass Spectrometry (ZooMS) analysis (details in S1 Appendix).

Bone surface modifications

Bone modifications [21] were recorded as follows: Bone surface alterations included linear marks, pits and perforations, deposition of sediments, and discolouration and staining [21]; modifications to shape included scale of abrasion and rounding [68]; modifications associated with penetration into bone tissue included flaking and cracking, corrosion expression (S1 Appendix), digestion, and bone mineral modifications [18,21]; and finally modifications relating to the removal of bone tissue or skeletal elements included breakage, deformation, and crushing [69].

The presence/absence, description, and location of changes were recorded for taphonomic features that were then categorised into agent type (physical, chemical, biological). Scaled, quantitative methods were used to assess taphonomic features where possible (Table 2 in S1 Appendix). For physical abrasion features, we included rounding, polishing, scratches and scuff marks, crushing, collection damage, and impacts. For physical distortion and deformation features, we included periosteal bone shrinkage, delamination, plastic deformation, and distortion. Chemical corrosion included the degree of damage (general, > 50% of the specimen, or isolated), expression (pitting, bone loss, surface), depth of penetration (superficial or deep), and spread type (continuous or discontinuous). In instances of chemical mineral modification, we used chalky texture, permineralisation, cementation of sediments, chalky mineral deposition [4,7]. The measure of mineralisation is broad, and determined by weight, colour and texture changes. Biological anthropogenic changes included burning, butchery marks, and percussion marks, and for fauna and flora, root pitting, floral/biological etching, insect boring, fungal/agal growth, gnawing, puncture marks (location, opposing marks, shape), and animal scratch marks. Except for rodent gnawing and predation marks, biological agents were only recorded where they were observed to directly create a modification. See S1 Appendix for further information.

Staining was identified by the colour, location (general or isolated), margin type (sharp or diffuse), and spread (mottled or continuous). Non-invasive elemental composition of black staining was conducted using portable X-ray florescence (pXRF) [78,79] (details in S1 Appendix).

Weathering stages were recorded alongside the presence and absence of each feature (shallow split lines, deep longitudinal cracking, bleaching, flaking) associated with its scale to determine potential intricacies of ‘weathering’ across dry and wet environments [80]. Flaking was distinguished from delamination. Delamination is the separation of a single external bone layer (approximately >1mm thick) beginning with initial separation of periosteal lamellate from the bone cortex, followed by longitudinal cracking, and finally removal of bone. Delamination stages were not recorded. Flaking and exfoliation ranged between the light, superficial removal of bone surfaces in either continuous or irregular patches not defined by bone structural orientation, to removal of bone surfaces first preceded by linear cracking as observed during the weathering process. Flaking produces multiple layers of flakes, that penetrate the bone matrix at different depths compared to the single delamination event.

Histological preparation and analysis

Twenty-four samples were chosen for histological analysis (GH N = 5, GWW N = 8, GWS N = 10), with representative samples from large (e.g., kangaroo and cow) and medium (e.g., sheep) animals from each context [59]. Weightbearing long bones and ribs were selected to target Haversian bone systems that produce secondary osteons (Table 4 in S1 Appendix), following taxonomic identification (see further below). Standard methods for undecalcified, unstained bone histology preparation were followed to create specimen blocks for scanning electron microscopy (SEM) analysis, and thin sections for histological analysis [34,81] (details in S1 Appendix). Blocks at least 3 mm thick, and thin sections of approximate 100 µm thickness, were examined for markers of bioerosion, and radial microfractures across secondary osteons under backscatter SEM and transmitted light microscopy, respectively, to identify size, form, demineralisation, hypermineralisation, and potential associations with histological features [82]. Most blocks and thin sections represented a complete cross-section (n = 21) through a bone shaft, unless only a portion was available (n = 3). The location of biodegradation was identified as either peripheral modification (localised or more regional at the outer bone pocket within a block/thin section) or general destruction (widespread impact across the block/think section). To quantify the peripheral degradation, a maximum depth of penetration was measured starting at the periosteal border using the straight-line tool in ImageJ 1.54g.

The type of bioerosion marker observed was grouped into either Wedl-tunnelling type 1 (associated with cyanobacterial attack as per prior studies [35]) or other microscopic focal destruction (MFD) [32,35,83,70]. Inconsistent use of terminology in the histotaphonomy literature presents issues in evaluating features associated with aquatic environments, with some authors identifying cyanobacterial tunnelling as synonymous with Wedl-tunnelling type 1 [35,70], and others separating them into a unique form [29]. For simplicity, cyanobacteria linked tunnelling are here identified as Wedl-tunnelling type 1 based on original descriptions (Table 2).

thumbnail
Table 2. Histological definitions previously associated with aquatic biodegegredation.

https://doi.org/10.1371/journal.pone.0343896.t002

Quantitative measures of the Oxford Histological Index (OHI), bacterial attack (bacterial-attack-index; BAI) and cyanobacterial attack (cyanobacterial-attack-index; CAI) were measured using a scale of 0–5 [29,84], with 0 indicating less than 5% preservation and 5 indicating over 95% preservation (Table 3 in S1 Appendix). All samples were also assessed for birefringence under polarised light. Finally, we measured total cortical area, and the area of regions modified by the different biodegradation markers using the polygon tool in ImageJ 1.54g. Percentages were then calculated for each biodegradation type to estimate OHI, BAI and CAI from total cross sections.

Statistical analyses

Statistical comparisons between wet and dry conditions were undertaken using IBMM SPSS 29 with significance tested at 95% and 99% confidence intervals. Differences between the presence and absence of bone modifications and histological data were tested using the 2-sided asymptotic Pearson chi-squared analysis. Although all sample sizes were adequate across all variables (>100), some variables presented in groups at low frequencies (<6), and in these instances, Fisher’s Exact 2-sided test was performed. We acknowledge that larger sample sizes will be necessary to validate our findings in these cases. Ordinal bone surface and histological data were tested across burial conditions using the non-parametric, independent samples Mann-Whitney U test to identify significant differences in distributions. The OHI, BAI and CAI scales, and peripheral degradation were further compared across depth in aquatic contexts. Temporal categories were used to test statistical differences in taphonomic indicators across the wet assemblage through time, and for the total pooled wet and dry assemblage to understand if differences are a result of time or burial condition.

Results

Site chronologies

Of the 42 specimens submitted for radiometric carbon dating, 41 passed pretreatment screening (S1 Table). Two groups were identified associated with domesticates: decadal, representing the modern period younger than 1955; and centennial, representing deposition between 1841 and 1955 (Table 3). Analysis of bone modifications through time can only be conducted across wet assemblages as too few decadal specimens are represented from dry conditions (n = 1).

thumbnail
Table 3. Frequency of specimens associated with age periods across sites and burial conditions.

https://doi.org/10.1371/journal.pone.0343896.t003

Skeletal assemblage

A total of 231 bone specimens were analysed from GWW (NISP = 103), GWS (NISP = 97), and GH (NISP = 31) (Table 4). Large taxa include Bos taurus (cow), Macropodinae and Macropus (kangaroo), Dromaius novaehollandiae (emu); medium taxa: ovicaprid (sheep/goat), Sus scrofa (pig), Canis lupus (dog/dingo); and small taxa: Oryctolagus (rabbit), Trichosurus vulpecula (possum), Dasyurus (quoll) and Rattus sp. cf. R. lutreolus (swamp rat). All specimens analysed by ZooMS were identified to the genus or species level: Macropus sp. (n = 3), Canis sp. (n = 1), B. taurus (n = 3), O. aeries (n = 7), and S. scrofa (n = 1) (S1 Table). Ancient DNA techniques identified decadal sheep from the underwater assemblages as belonging to the Merino breed [85].

thumbnail
Table 4. Number of identified species (NISP) and minimum number of individuals (MNI) for taxon across the wet and dry assemblages.

https://doi.org/10.1371/journal.pone.0343896.t004

For domesticates, 70.4% of bones are associated with the forelimb and hindlimb (GH = 45.5%, GWW = 68.2%, GWS = 77.8%), followed by axial elements (rib/vertebrate: GH = 45.5%, GWW = 19.3%, GWS = 17.5%) and cranial elements (GH = 9.2%, GWW = 11.4%, GWS = 4.8%).

Only a single in situ articulation was identified across the three sites, a rabbit skeleton consisting of 12 elements from GWS, located on the surface near the margins of the lake. It is possible that other articulated elements were present but missed due to limited visibility underwater during recovery. Specimens from underwater contexts have likely been reworked by divers prior to collection.

Quantitative distributions

Bone fragments were generally large across sites, with the highest proportion falling into size class 6 (32–128 mm: GH = 71.4%, GWW = 36.8%, GWS = 48.5%). Specimens from GWW trended larger than those from GWS; 84.5% of the GWS assemblage fall between size classes 5 and 6 and 90.8% of bones at GWW fall between size classes 6 and 8. No identifiable size class sorting by depth was observed across samples from wet contexts, or by site across dry burial sites (S1 Fig).

Bone specimen shape (maximum breadth and length ratio) indicated bone sorting based on depth, where an increase in depth was associated with a more even shape (Fig 3). A significant correlation between the breadth to length ratio and depth was identified across both wet sites; however, the correlation coefficient at GH is higher (R = 0.730, p = 0.007) than GWW (R = 0.311, p = 0.005), suggesting depth is a better predictor of shape of the bone at the former site.

thumbnail
Fig 3. Shape variation [60] across dry (0m) and wet (−0.3 to −18.3m) contexts.

https://doi.org/10.1371/journal.pone.0343896.g003

Bone Surface modifications

Bone surface modifications (BSMs) were identified across wet (GH and GWW) and dry (GWS) burial environments (Table 5), and compared across chronological periods (Table 6). Data are presented according to associated agent types: physical, chemical and biological. Raw frequency BSM data across wet and dry contexts are provided in S1 Dataset.

thumbnail
Table 5. Summary of bone surface modifications across Gouldens Sinkhole (GH), Green Waterhole West (GWW), and Green Waterhole Surface (GWS) assemblages.

https://doi.org/10.1371/journal.pone.0343896.t005

thumbnail
Table 6. Chronological analysis of statistically significant features identified across the wet and dry assemblages.

https://doi.org/10.1371/journal.pone.0343896.t006

Anthropogenic actions and predation

Anthropogenic modifications (n = 33, 15.5%) were only identified in domesticated taxa. A single specimen from GWS showed evidence of burning (Stage 2) but did not exhibit cut marks. Butchery marks (n = 32, 15.0%) include saw marks across full cross sections, sawn bone, and thin linear cuts with V-shaped cross sections (Fig 4A-4B). Modified elements included ribs, scapulae, innominate, femora and vertebrae. One bone presented with thick abraded lines and crushed margins across the cortex, identified as the effect of rubbing against cave diving line (2–6 mm braided nylon line) when used a secondary tie-off point (Fig 4C).

thumbnail
Fig 4. Anthropogenic actions and predation across wet (A-D, F) and dry (E) cave assemblages.

A) Slice marks on cow humerus from knife with V-shaped profile; B) cow ventral rib end sawn through, yellow arrows indicate examples of saw striations; C) cow distal rib deformed by cave line (2-6 mm braided nylon line) on caudal and cranial margins indicated by paired yellow arrows; D) gnawing across cow rib margin; E) paired predation puncture marks with conical profile; F) insect boring through trabecular bone and embedded ant eggs.

https://doi.org/10.1371/journal.pone.0343896.g004

Low frequencies of gnawing marks were identified across GH (n = 3, 10.3%) and GWW (n = 10, 11.5%), no gnawing was identified from GWS (Table 5; Fig 4D). Carnivore predation, specifically paired dental punctures with opposing marks, were observed in low frequencies in wet and dry conditions (GWW n = 2, 2.3%; GWS n = 1, 1.0%; Fig 4E). Possible insect boring was observed on four bones from underwater caves (GWW n = 3, 3.5%; GH n = 1, 1.0%; Fig 4F).

Bone quality and cementation

All but three samples from GWW were not permineralised, a generalisation based on weight and texture of the element. Compared to wet burial sites, dry contexts were defined by a significant increase in isolated expressions of calcareous concretions (cementation), and white chalky mineral deposits expressed as both isolated specks and broad coverage (Table 5). A significant proportion of specimens recovered from underwater contexts exhibited an increase in chalky texture (Table 5, Fig 5A-B). The chalky texture is limited to the sub-periosteal pocket, sandwiched between a thin solid exterior bone and the hard cortical bone beneath (Fig 5B). It was only observed when bone surfaces had been modified to expose underlying layers, and thus we likely underestimate the frequency of this feature. Time was not found to influence the deposition of white mineral, or alteration of the bone matrix (Table 6).

thumbnail
Fig 5. Bone quality and weathering modifications.

A) chalky white bone surface (black arrow) exposed through delamination and beneath biotic staining and corrosion; B) subperiosteal pocket of chalky bone modification (yellow indicators) beneath an intact bone surface, and preserved bone marrow (black arrow); C) early stages of delamination with bone surface layers separated but not removed, and ‘popped’ fracture margins (yellow arrow); D) late stages of delamination with bone separated surface; E) weathering flaking with irregular, multi-layered flakes removed from surface; F) the chemical process of desquamation/exfoliation resulting in the light removal of surface bone tissue.

https://doi.org/10.1371/journal.pone.0343896.g005

Weathering

Weathering across the three assemblages was low with all specimens exhibiting weathering stage 3 and below (Table 5). Although no differences were identified between weathering stages across wet and dry environments, components of the weathering scale varied (Table 5). Wet bone presented significantly lower proportions of flaking and exfoliation (Fig 5E-5F), and more bone surface delamination (Table 5, Fig 5C-5D). Differences in weathering sub-categories across wet bones were not influenced by timescales (Table 6).

Despite controlling the drying process, delamination occurred post-collection and highlights the damage caused by wetting then drying (Fig 5C-5D). Whilst delamination on bone from dry assemblages occurred solely on long bones of medium sized animals, all bone types recovered from submerged sites were impacted (Long n = 26, 38.8%; Flat n = 5, 35.7%; Short n = 1, 50.0%; Irregular n = 14, 23.5%). In wet contexts, delamination was most frequent across bone shafts, areas not associated with spongiform bone structures (e.g., epiphyses). Large animal bones were more likely to be modified in wet assemblages (n = 28, 47.5%) followed by medium sized animals (n = 6, 20.7%). Too few small animals were recovered for calculations of proportion of bones with delaminated surfaces.

Physical agents

Breakage Index (BI) was significantly different between wet and dry assemblages, but with low levels of breakage observed across the three sites (Table 5). Bones either recorded high (BI 9 &10) or low (BI 1) levels of completeness, but submerged assemblages recorded the highest rates of completeness (Table 5). The proportion of bones with very high completeness at GWW increases when anthropogenic butchery fragmentation is excluded (n = 58, 69.1%). Breakage was not impacted by depth or time since deposition (Table 6, Fig 6).

thumbnail
Fig 6. Distribution of Breakage Index (BI) frequencies across collection depth below water surface (m), grouped by site.

https://doi.org/10.1371/journal.pone.0343896.g006

Fracture frequencies were consistent across wet and dry contexts, however wet assemblages exhibited significantly greater preservation of long bone shaft circumferences, and higher levels of shaft completeness (Table 5). Over half of the fractured specimens at GWS retained less than a quarter of their original shaft whilst specimens from underwater contexts showed variable shaft fragmentation (Table 5). Fracture pattern frequencies in wet contexts were not tested for differences across time scales due to small sample size (decadal n = 1).

Saturated wet bones were soft, both before and after drying, and prone to damage, such as plastic deformation, during collection, transport, and handling (Table 5). This influenced data attributed to physical modifications by adding bone surface modifications or removing evidence of past events. After excluding post-collection bone surface modifications, a single specimen at GH presented with plastic deformation at −14 metres below the water surface, whereas thirteen specimens were impacted at GWW across various depths (−2.8m n = 8, 9.9%; −3.2m n = 1, 1.2%; −4.3m n = 1, 1.2%; −5.4m n = 3, 3.7%). Physical damage was more common across the wet assemblages, and when compared to dry bones, presented with significantly greater levels of general abrasion, scratches and scuff marks, and crushing (Table 5). Collection damage could not be excluded due to similarities between pre- and post-collection events. No bones were identified as rounded or polished because of physical, non-anthropogenic agents in each burial context. However, time significantly contributed to the likelihood that bones may be modified for the wet and pooled total assemblage (Table 6).

Corrosive and floral agents

High levels of pitting, general surface corrosion, forms of etching, and bone loss were identified across the assemblages (GH n = 15, 62.5%; GWW n = 69,79.3%, GWS n = 69,71.1%), frequently associated with an observed biological agent: flora and/or biofilms (Fig 7). Seventy specimens presented with more than one type of corrosion modification (GH n = 5, 17.2%; GWW n = 39, 44.8%; GWS n = 26, 26.8%).

thumbnail
Fig 7. Corrosive features across wet environments.

A-B) broad pitting across bone adjacent to surface removal (B); C) shallow, continuous surface corrosion; D) deep continuous surface corrosion with depth indicated by arrow; E-F) localised (E) and broad (F) continuous etching; G-H) broad surface corrosion with plant root attachments before cleaning (G) and a close up after cleaning (H).

https://doi.org/10.1371/journal.pone.0343896.g007

Whilst the presence of etching was significantly more prominent across dry environments than wet (p < 0.001), a distinct circular etching was identified as unique to the wet landscape, specifically at GWW (n = 5, 4.1%; Fig 8). These are characterised by a superficial surface expression of corrosion featuring concentric rings (Fig 8), measuring approximately 5 mm in diameter, complete circles or semicircular, and feature either a single or double ring. Isolated and clustered patterns of the circular target etching were observed. No identifiable agent was associated with these modifications. Linear etching was identified on bone from wet and dry contexts (GH n = 3,10.3%; GWW n = 3, 3.5%; GWS n = 29, 29.9%). Flora was not identified alongside all etching, and some bones with adhering flora did not express linear etching, indicating a degree of attack that warrants further investigation.

thumbnail
Fig 8. Circular target etching across bone surfaces.

Yellow arrows indicate etched rings, and black arrows indicate the presence of features. Isolated features shown in A-C, and multiple, partially overlain features in D.

https://doi.org/10.1371/journal.pone.0343896.g008

Pitting was common and not significantly different between wet and dry burial contexts. It was the most common corrosive feature at GWS. Extensive pitting in underwater contexts culminated in general surface loss where the isolated pitted features became continuous, destroying large regions of bone (Fig 7A-7B). Underwater, corrosive pitting and floral pitting were not congruent. General pitting without any signs of floral agent were present across a wider range of depths below water surface (−2.8m to −17.2m), whilst pitting associated with floral agents was restricted to the shallow underwater regions of GWW (−2.8 to −5.4m).

Surface corrosion was significantly greater on bones from underwater, and the only pre-collection bone surface modification to significantly increase in frequency through time (Tables 5-6). Expression of corrosion varied across sites, likely a product of different agents. Superficial corrosion was most common in both the wet and dry surface corrosion sub-assemblages (GWW n = 54, 83.1%; GH n = 7, 77.8%; GWS n = 22, 91.7%). Underwater, a continuous expression (n = 45, 70.3%) was associated with shallow depths at GWW whereas the deeper waters at GH were dominated by discontinuous corrosion features (n = 6, 66.7%; Fig 7C-7D). Specimens from dry contexts presented with both continuous (n = 13, 56.5%) and discontinuous corrosion (n = 10, 43.5%). Low levels of deep, continuous corrosion were also identified across all environmental conditions (GWW n = 7, 10.9%; GH n = 2, 22.2%; GWS n = 2, 8.7%).

A spatial relationship was identified between surface corrosion features, types of staining, and biological agents. Some surface corrosion features were stained green, black, or blackish purple, with sharp margins. Black staining was significantly more common in the aquatic assemblage (p < 0.001; GH n = 5, 13.2%; GWW n = 45, 23.6%; GWS n = 3, 2.9%), whilst green staining was observed in both dry and wet settings at similar frequencies (p = 0.090; GH n = 4, 10.5%; GWW n = 44, 23.0%; GWS n = 34, 33.3%). Stains were not always associated with corrosion, particularly in dry, surface conditions where 35.0% (n = 34) of bones presented green stains but only 24.7% (n = 24) experience surface corrosion. In wet contexts, a chi squared test for independence showed significant associations between surface corrosion and biofilms (p < 0.001), surface and black staining (p < 0.001), and black staining and biofilms (p < 0.001).

Microbial biofilms and localised algae were identified as the biological agents responsible for the staining and associated with corrosion in approximately 20–60% of specimens (Table 5). In some cases, biological agents were observed on the bone (Fig 9D-9F), whereas only continuous black stains with sharp margins remained on bones from submerged contexts. The morphology of the stains was inconsistent with identified manganese staining [86], and pXRF analysis showed measured spectra consistent with unstained bone surfaces on the same sample (S2 Fig). Staining did not cover the entirety of the bone but was localised in distinct regions (Fig 9A-9C). Collection photos show that staining is not exclusively associated with burial within sediment, or exposure to water, but rather is indicative of the area of bone exposed to light (Fig 9A-9B).

thumbnail
Fig 9. Biofilms, biota, and black staining associated with sunlight and surface corrosion.

Scale bar is 1 cm. A) In situ collection photo of astragalus (GWW09) with the exposed stained surface (blue arrow) facing upward and exposed to light compared to the unstained surface (yellow arrow) facing the dark zone; B) Astragalus from A, highlighting staining, and showing the unstained surface that was buried; C) Black biofilm staining and corrosion on humerus (GWW50) with sharp margins (red arrows); D-F) black biota across bone associated with corrosion but not staining.

https://doi.org/10.1371/journal.pone.0343896.g009

In aquatic settings, the presence of biofilms and algae, surface corrosion, and staining varies with depth. Black stains were not recovered at the deepest sites of the caves, and green staining was limited to shallow regions (GWW < −4.4 m; GH < −13.3 m). The deepest example of a biological agent, black or green staining, and surface corrosion together was recovered from −13.3 m at GH. Small sample sizes may influence these results, as samples collected from depth consist of only single or few specimens.

Histotaphonomy

Bone diagenesis ranged between completely modified (0) and well preserved (5) bone (Fig 10, Table 3 in S1 Appendix). Whilst specimens from dry contexts in GWS tended to exhibit poorer preservation compared to those from wet assemblages, Oxford Histological Index (OHI) distributions did not vary significantly (p = 0.313). However, possible cyanobacteria tunnelling (CAI) was significantly more prominent in wet versus dry environments (p = 0.030), whilst bacterial attack was significantly more common in dry bone microstructure (p = 0.26). The degree of modification was not correlated with time since deposition in wet contexts (OHI: p = 0.295, BAI: p = 0.445, CAI: p = 0.234) or across the pooled whole assemblage (OHI: p = 0.089, BAI: p = 0.413, CAI: p = 0.922). Further, depth below water surface did not significantly impact OHI (p = 0.913), BAI (p = 0.288), or CAI (p = 0.581), but small sample size limits statistical power (Table 4 in S1 Appendix).

thumbnail
Fig 10. Distribution of diagenesis across each site.

Measured by the Oxford Histological Index (A) [87], and diagenetic indices recording: B) general; C) bacterial; and D) tunnelling associated with cyanobacterial degradation across wet and dry burial contexts.

https://doi.org/10.1371/journal.pone.0343896.g010

Patterns of bioerosion and degradation

Bones from wet environments presented with well-preserved bone with isolated areas of bioerosion that were limited to the sub-periosteal, peripheral bone region (GH n = 5, GWW n = 8, Fig 11). Seven samples from wet burial contexts presented with a scalloped or bridged structure across the bone surface associated with morphological growth and degradation of plexiform bone structures (Fig 12, A1-A2). Only a single specimen (ID: GWW_76), found at the deepest collection site at GWW (−5.4m) did not present with any evidence of degradation or bioerosion (Fig 12, C1-C2). Birefringence under polarised light across wet and dry sites was linked to general degradation reflected by the OHI. Regions of preserved bone were consistently birefringent in bones from wet and dry contexts. Bone marrow was still present in the medullary cavity of specimens (GWW n = 4, 44.4%) associated with burial across a decadal time scale.

thumbnail
Fig 11. A and B are cross-sections from a sheep metatarsal (ID: GH19) showing typical bioerosion patterns seen across specimens from Gouldens Sinkhole.

Comparing: (A) backscattered scanning electron microscopy (bSEM) with (B) transmitted light histology. Close up images under transmitted light of: C-C1) enlarged canaliculi; D-D1) tunnelling associated with cyanobacteria; E-E1) black and white tunnelling in region of tunnelling associated with cyanobacteria under bSEM (A).

https://doi.org/10.1371/journal.pone.0343896.g011

thumbnail
Fig 12. Example of bone histology types across samples from ‘wet’ underwater and ‘dry’ surface burial contexts presenting the same region of interest strip under transmitted light microscopy (A1-E1) and backscatter scanning electron microscopy (A2-B2).

In A and B, blue coloured arrows indicate examples of peripheral tunnelling that can be associated with cyanobacteria. In C (note, C1 shows central two pore like features which are air bubble artefacts from technical preparation), well preserved bone with no bioerosion is presented next to complete degradation in D. Although D2 shows areas of active bone remodelling that can be deduced from resorption cavities new the periosteal bone. In E, green coloured arrows indicate degradation of sub-periosteal and sub-endosteal envelopes (not attributed to cyanobacteria), and black coloured arrows indicate mid-cortical budded MFD associated with vascular canals only observed through transmitted light microscopy. (note: variation between images is a result of the different histology blocks used for each technique). Images were taken from ovicaprid metatarsi (ID: GH_19, GWS_36, GWS_48), a sheep radius (ID: GWW_76) and a cow rib (GWW_16).

https://doi.org/10.1371/journal.pone.0343896.g012

Microscopic features in bone samples from wet sites were identified as tunnelling, that has been linked with cyanobacteria in literature [35], where resorptive regions approximately 5–15 µm in width were not surrounded by a hyper-mineralised border and did not contain sub-micron tunnelling typical of terrestrial environments (Fig 13). Where present, limited areas of the total bone surfaces showed tunnelling at GWW (n = 7, min = 0.4%, max = 25.0%,  = 10.4%, σ = 10.7%) and GH (n = 5, min = 0.3%, max = 19.8%,  = 11.5%, σ = 6.3%). Conversely, where other MFD types were present, they impacted cortices to a greater extent (GWW: n = 7, min = 1.5%, max = 100.0%,  = 21.9%, σ = 32.1%; GH: n = 3, min = 1.9%, max = 43.3%,  = 16.8%, σ = 18.7%). These wet features were also restricted to the peripheral surface in all but one specimen where they extended across the endosteal envelope. In one instance, tunnelling previously linked with cyanobacteria [35] was layered beneath other MFD, possibly superimposing and reworking old modifications (Fig 14). The chalky bone texture identified to be more frequent in wet assemblages (Table 5) occurs at the same location as the tunnelling associated with cyanobacteria (S3 Fig).

thumbnail
Fig 13. Close up of wet site features at Green Waterhole under backscatter scanning electron microscopy (bSEM) (B,C,D,G) and transmitted light microscopy (A,E,F,H,I).

A) peripheral scalloping and subperiosteal bioerosion; B-D) tunnelling (linked with cyanobacteria in the literature) without hypermineralised boundaries; D,G) subperiosteal bioerosion restricted to the exterior bone region; E) close up of bioerosion with unidentifiable features; F) separation of bone at the margin of bioerosion with Wedl tunnelling extending into well preserved bone; H-I) close up of bioerosion features associated with G, with a black mass of Wedl tunnelling located within but not adjacent to the periosteal surface (bottom of images). Images taken from a cow rib (ID: GWW_16; A-C), cow ulna (ID: GWW_71; D-F) and an ovicaprid metacarpal (ID: GWW_61; G-I).

https://doi.org/10.1371/journal.pone.0343896.g013

thumbnail
Fig 14. Close up of wet site features at Gouldens Sinkhole under backscattered scanning electron microscope (A,D,E,G) and transmitted optical light, (B,C,F,H), and polarised optical light (I).

A) dense region of Wedl tunnelling across bone surface; B-C) well preserved bone with visible primary canals and osteocyte lacunae; D) biotic attack at periosteal boundary with mixed terrestrial and tunnelling attributed to cyanobacteria in prior research (E); F) close up of Wedl-tunnelling; G-I) tunnelled exterior bone with Wedl-tunnelling extending into well preserved and birefringent matrix, followed by extensive terrestrial biotic attack towards endosteal surface. Images were taken from Ovicaprid metatarsi (ID: GH_09, GH_19; A-C), a kangaroo tibia (ID: GH_18; D-E), kangaroo rib (GH_04; F-I).

https://doi.org/10.1371/journal.pone.0343896.g014

Whilst degradation extending from the subperiosteal envelope was identified equally across both wet and dry samples (p = 0.75), the presence of degradation across only the peripheral region was found to be statistically significantly associated with wet environments (p = 0.018). In wet environments, the depth of tunnelling, linked previously to cyanobacteria [35], from the peripheral surfaces varied within a sample, often only presenting in isolated areas (Fig 11, S3 Fig). Maximum depths of this tunnelling ranged between 109 µm and 2254 µm (Fig 12, B1-B2), with greater average penetration in the shallower regions at GWW ( = 1114.4 µm, σ = 573.7 µm) compared to the deeper areas of GH ( = 552.5 µm, σ = 175.9 µm). Collection depth was not significantly correlated with the presence of bioerosion (p = 0.116) or maximum depth of bioerosion (p = 0.270). In dry settings, specimens presented with an additional sub-endosteal modification, where both regions were dominated by MFD not associated with cyanobacteria (Fig 12, E1-E2, D1-D2). Bones in wet environments that presented with both sub-periosteal and sub-endosteal peripheral degradation also presented with a fractured shaft, thus exposing the medullary cavity to the aquatic burial environment.

Type and location of degradation were highly variable across specimens collected from dry contexts (Figs 15 and 16). Three groups were identified: 1) near complete preservation (>95% preserved; n = 2, 20.0%); 2) bioerosion of the sub-endosteal and/or sub-periosteal regions (n = 5, 50.0%); and 3) near complete degradation (>99% degraded; n = 3, 30.0%). Tunnelling associated with cyanobacteria in prior research [35], was identified across 33.0% (n = 3) of the dry surface samples whereas other MFD were present across 90% (n = 9) of specimens (Fig 16). Of the specimens where this tunnelling was present, it was minimally invasive (min. = 0.1%, max. = 3.0%;  = 1.2%, σ = 1.3%) compared to extensive degradation generated by other agents (min. = 4.0%, max. = 100.0%;  = 47.1%, σ = 38.0%). Under transmitted light microscopy, localised budded MFD degradation was identified in dry samples associated with vascular pathways (Fig 12, E1). These mid-cortical MFD features were not picked up by bSEM imaging (Fig 12, E2). Few samples (n = 3) from dry burial contexts also featured large, irregular circular empty spaces across the sub-periosteal pocket (Fig 12, D1-D2). Some of these were not associated with natural bone resorption at primary or secondary osteons. No bones from wet environments presented with these features.

thumbnail
Fig 15. Ovicaprid tibia cross section (ID: GWS86) from Green Waterhole Surface with extreme degradation.

Comparing backscattered scanning electron microscope (A) with transmitted light histology (B). Darkened region on right of B due to sample preparation and not pre-collection staining. Close up images under transmitted light of: C-D) endosteal surfaces; E-E1) budded MFD, F-F1) tunnelling attributed to cyanobacteria in prior research.

https://doi.org/10.1371/journal.pone.0343896.g015

thumbnail
Fig 16. Close up of dry site features at Green Waterhole Surface under backscattered scanning electron microscope (bSEM) (A,B,D,G) transmitted optical light, (C,E, F,H), and polarised optical light (I).

A) heavily degraded periosteal surface; B) closeup of bacterial attack with internal foci and hypermineralised boundaries; C) bacterial attack under transmitted light; D-E) increased porosity and degradation across central bone region; F) stained periosteal surface with biotic attack; G) well preserved bone with flaked periosteal surface, internal cracking a product of SEM chamber; H-I) same bone as G, with stained and not birefringent periosteal surface followed by well preserved and birefringent bone. Images were taken from ovicaprid metatarsi (ID: GWS_48, GWS_83; A-F) and a sheep tibia (ID: GWS_02, G-I).

https://doi.org/10.1371/journal.pone.0343896.g016

Across wet and dry contexts, microfractures were not associated with histological structures, instead limited to general destruction through the cortex. Radial cracks originating from the periosteal surface and penetrating various depths into the cortex were observed across 70% of the dry assemblage. These did not occur in any sample from wet burial sites. Underwater cave samples presented with fractures that ran parallel to the bones surface (Figs 13 and 14), most frequently at the margin between tunnelling and unaltered bone matrix. These parallel fractures resulted in delamination of the surface (n = 9). Although samples from dry burial environments also experienced surface delamination and weathering, surface fractures were angular and irregular (Fig 15). As removed bone surfaces cannot be measured due to their absence, the true maximum depth of bioerosion, and degradation indices of the original bone cross section cannot be identified.

Radial microfractures across secondary osteonal cement lines were not identified, regardless of burial condition or time since deposition. Although various forms of cracking were observed in bSEM images, these were created by the pressurised chamber where thin sample blocks (<3mm thick) were more susceptible to damage. Samples from wet sites appear more susceptible to SEM cracking compared to those from dry sites.

Raw histology and histotaphonomy measurements, and descriptions for each sample are provided in S2 Dataset.

Discussion

Site formation processes

Radiometric dating indicates that domesticate bones accumulated across a decadal (>54, < 75 years) and centennial (>81, < 184 years) scale. The youngest bones were deposited at Green Waterhole in the 1970s, highlighting that modifications recorded in this study are at least 50 years old. However, the impact of old, dissolved inorganic carbon in cave waters on terrestrial animal bone collagen is not well understood. The freshwater reservoir effect can artificially increase the radiocarbon ages of living animals, plants and sediments from aquatic systems (e.g., fluvial and lacustrine), as well as their consumers, but not of bones or material deposited into freshwater sites [88,89]. Further, dissolved inorganic carbonates in groundwater can contaminate bioapatite during diagenesis through ionic exchange with older carbon from sedimentary rock, effectively aging bones [90]. For example, Late Pleistocene bone bioapatite from an underwater cave in Mexico yielded an older radiocarbon age compared to radiocarbon and uranium/thorium dates from associated enamel biomineral and calcium florets from the same site [91]. In fact, discrepancies between enamel and bone carbonate 14C ages are common in terrestrial sites, and may relate to tissue-specific diagenesis pathways [92]. In this study, enamel and bioapatite were not measured, and further work is required to understand the impact of dissolved inorganic carbon on the insoluble collagen fraction in bone from underwater caves.

Bone specimens across Green Waterhole reflect culturally and naturally accumulated deposits. The dry and wet assemblages at Green Waterhole are dominated by domesticate species and unarticulated bones, with low numbers of native fauna remains. Butchery marks and the abundance of butchery portions at GW suggest that the remains were anthropogenically dumped at the site after processing, supported by the presence of historic refuse scattered around the margins of the dry doline [93,94]. This anthropogenic assemblage is comingled with what is likely a natural deposit of native remains fauna that did not exhibit butchery marks; however, we can’t rule out that the presence of native animals in this site was also a result of anthropogenic accumulation that did not leave any visible marks.

Almost equal proportions of native and domestic taxa with no evidence of butchery were recovered from Gouldens Sinkhole. This suggests that these bones were naturally deposited at the site, however historic refuse across the talus cone highlights inputs from dumping at some point. Low levels of weathering suggest individuals drowned in the sinkhole, or bones were quickly reworked into the site. Evidence of predation (gnawing) across a few specimens indicates that at least some of the assemblage was re-worked from a terrestrial environment [7].

Signs of primary deposition at Gouldens Sinkhole are further skewed by likely intra-site reworking down the talus cone. Bone specimens with a similar size were found in deeper deposits, mirroring observations of sorting across fluvial [63,95] and steep sloped hills [96]. After deposition, bones in underwater caves were trapped in the suspended, fine-grained allochthonous sediment of the talus cone. Whilst further analysis of sphericity and bone weight may provide further insights [9597], basic measurements of shape highlight patterns of transport in a highly sloped, low energy flow cave setting. This pattern was not observed as strongly at Green Waterhole West due to the presence of a lower gradient slope, indicating that slope angle is strongly correlated with degree of sorting.

Burial conditions in underwater settings

Bone surface modifications

Submerged cave assemblages were generally well preserved, with minimal element breakage. Lower frequencies of well-preserved bones at GWW compared to GH is a product of butchery practices, not an indicator of in situ breakage. Increased fragmentation and fractures across the dry assemblage is likely a result of trampling, a feature observed at other dry cave sites [98,99]. Well preserved bones are a feature of underwater cave assemblages [3,5], whereas dry caves and terrestrial aquatic sites are open to predation, trampling and physical transport [18,19].

Submerged bones were soft, and prone to collection and drying damage. Biomineral and organic analyses of bone matrix were not conducted here, however submersion does impact bone collagen and crystallinity [22,43]. Modifications to bone mineral and organic structure that results in soft bones can remove prior evidence of abrasion and physical modifications. For example, abrasion modifications formed by cave diving line prior to collection were similar in colour and profile to collection damage.

The weathering scale did not distinguish wet and dry cave settings, or differences between decadal and centennial deposits, highlighting the need for a nuanced approach to understand environmental weathering [18]. Increased flaking and exfoliation across dry sites may be valuable in identifying dry deposited specimens, where wet deposited bones experience chemical desquamation exfoliation instead of physical flaking [21,100]. Bones from waterlogged soils showed exfoliation post-collection after drying [1], and identifying the presence of an original bone surface may be helpful in identifying bones that have experienced changing hydrological conditions.

Waterlogged bones from phreatic caves do not dry evenly and this produces surface delamination. Differential expansion and contraction pressures eventually led to the separation of external layers of bone, ‘popping’, and finally bone removal [101,102]. Delamination is common in salt-water conditions, as expanding salt crystals enhance the effect of delamination [103]. Bones from waterlogged soils also present with similar effects [1], and experimental studies highlight that increased exposure to wet-dry cycles will result in cracking that mirror early stages of the weathering scale [104]. Delamination in our samples occurred during drying, mostly restricted to the dense, layered morphological structures of long bones in medium and large animals. Thus, it may also reflect the impact of shifting water tables in older bones from phreatic caves that occur either seasonally or with long term sea-level changes.

Distinct expressions of corrosive biotic attack were identified in this study, with increased etching in dry settings and increased surface corrosion in wet environments. Pitting was consistent across environments. Corrosion associated with floral attack in dry settings is common, as organisms excrete chemical compounds, degrading bone for nutrient uptake [105]. Therefore, linking corrosive features to specific flora is difficult due to the similar expressions of corrosions across plant taxa. In this study, however, different frequencies of etching and surface corrosion likely reflect the difference between plants with roots (vascular plants) that are linked to dry landscapes, and rootless non-vascular plants (e.g., bryophytes and thallophytes) and biofilms that are linked to wet settings [106,107]. The impact of Koonunga crenarum, a rare stygobitic crustacean species identified at Green Waterhole, on bone surface modifications is not known, and can’t be discounted as a possible source of these modifications [108].

The localised corrosion of thin bones resulting in complete loss of material observed in other subfossil bones from underwater caves [3,109] was not identified here. Those specimens were collected in salt-water, below a halocline, and thus this type of corrosion may be linked to salinity [103] or the geochemically aggressive mixing zone [110], which is not applicable here.

In the submerged caves, surface corrosion is the only bone surface modification that increased significantly with time. Previously, shallow, continuous surface corrosion features were attributed to biofilm corrosion across Miocene lake fossils [75,111]. In these fossilised samples, bone surfaces were not completely degraded, indicating that for the specimens that survived into fossilisation, corrosion ceased at some point prior to complete destruction. Here, surface corrosion was frequently observed with pitting around the edges of bones, suggesting that successive pitting events may result in complete loss of bone. Further investigations into the speed of floral attack, and why it terminates, is required to understand how surface corrosion proceeds through time.

Although etching was mostly associated with a dry environment, a specific form of etching was observed underwater: a circular target etching that occurred in clusters or singly. No agents could be associated with either form. Predation in marine settings by barnacles and molluscs create homing scars [28], and similar circular patterns attributed to Thatchtelithichnus have been viewed on subfossil mammal bones from seafloors [112]. Ecological analyses of local biota across the study sites are needed to identify the possible agents responsible for etching expressions. Whilst the distinction between etching forms is beneficial in differentiating depositional environments, they were recorded infrequently.

There is a strong association between corrosion, biological agents, and black staining across bones from underwater environments. A clear taphonomic history outlining the timing and relationship between agent, corrosion, and stain cannot be deduced through this neotaphonomic framework. Stains were not caused by manganese precipitation or manganese-oxidising bacteria like those found in other waterlogged archaeological sites [86]. Instead, they are likely a result of cyanobacteria, fungal attacks, or biofilms that secrete acids capable of eroding bone, stone, and metals [113,114], stain bone surfaces black [61,115,116], and produce pigments in caves where exposed to light [8]. In our samples, continuous pigmented black stains with sharp margins are not associated with burial in sediment or exposure to water but are linked with light availability.

Light in caves is restricted to entrance and twilight zones, typically unidirectional, and easily obstructed by objects that cast shadows. Associations between biofilms, flora and light have been identified across cave systems before [8], however microbial communities can also be found deep within dark underwater cave systems [117]. The deepest example of surface corrosion associated with green or black staining and a biofilm or algal agent was at Goulden Hole, 13.3 metres below water surface. This collection context is within the sinkhole opening area, exposed to light, although seasonal algal growth at the surface can restrict light significantly even within this area. Whilst surface corrosion and staining were independently found in deeper regions of the cave, they did not present together. Light variability thus accounts for the seemingly random distribution of this feature across bone surfaces, and different patterns observed with depth, with reduced biological growth on the ‘dark side’ of bones.

Bone surface modifications in underwater caves vary relative to dry environments, and those from other aquatic landscapes (Table 7). Walker and Louys [7] identified features that may be attributed to distinct landscapes, and here we confirm the lack of aquatic bleaching outside of saltwater environments, marine aquatic fauna modifications [102], and homogenous or heterogenous rounding under different hydraulic regimes [24,118,119]. Diatom presence, pits, or orientation pattern were not assessed in this study [21].

thumbnail
Table 7. Aquatic bone surface modifications identified through different research frameworks.

https://doi.org/10.1371/journal.pone.0343896.t007

The effect of time on bone modifications was minimal at our scale of observation. Whilst small sample sizes will inevitably bias results, data here suggest that patterns of wet or dry diagenesis will occur within fifty years. Understanding how and why bone matrices are altered can support our understanding of the early and late diagenetic process in underwater cave environments [13], and if taphonomic analyses can be used to distinguish between wet and dry deposition.

Microstructural diagenesis

Histotaphonomy presents clear, unique patterns of degradation linked with bones from either wet or dry conditions. Increased tunnelling that may be associated with cyanobacterial extending from exposed peripheral surfaces is significantly linked to the submerged cave environment, whereas other microscopical focal destruction features are more frequently observed in dry cave settings. Wedl-tunnelling Type 1 observed in this study has been previously identified in an actualistic study linking their presence to cyanobacteria euendolithis that bore into bone from peripheral surfaces [35,74]. Whilst linking features of bioerosion to identify cultural burial practices or post-mortem intervals has been debated [12,70,128], Wedl-Type 1 tunnelling has been identified in nearshore marine, deep marine, and lacustrine landscapes [35,73,75], and is established through a strong relationship between submersion and periodic inundation, environmental DNA, and degradation [35].

Wedl-tunnelling Type 1 also occurred in some specimens recovered from surface deposits, but these were located at the lake shore boundary and thus experienced wetting during periods of higher ground water levels. Dry specimens away from the lake shore do not present with this type of tunnelling, mirroring other experimental and actualistic studies [35,129]. Presence of tunnelling is thus also a feature of epiphreatic zone of caves where ground water fluctuates from wet and dry depending on seasonal rain inputs.

Morphology of Wedl-tunnelling Type 1 remains consistent across marine environments but is suggested to vary in terrestrial bodies of water. The presence of a remineralised, electron dense, tunnel border was suggested to differentiate marine from continental burial environments [76]. Unlike the patterns of tunnelling with hypermineralised boundaries identified on seven-million-year-old fossils from a terrestrial palaeolake [75], the patterns in our underwater cave samples affected by ground waters were not identified with a hypermineralised border, aligning with other marine and terrestrial freshwater stream studies [12,35]. Different expressions in terrestrial environments may reflect local conditions, the impact of edge effects in SEM analyses, or the mineralisation process during fossilisation.

One specimen (GWW76) from the underwater settings did not present with any tunnelling and was recovered from the darkest portion of the cave. No signs of reworking of animal predation were identified on this sample. In Bell and Elkerton [73], tunnelling on bone specimens from the Mary Rose warship was restricted to those found to be reworked and outside the warship exposed to light, compared to those recovered from within the confined, dark space of the ship that did not feature tunnelling features [73]. Areas of caves in complete darkness may thus not present any form of bioerosion. Limited Wedl-tunnelling in deep regions of submerged caves presented here supports a potential relationship between cyanobacteria and reduced light in caves and deep maritime contexts [8,73,130,131]. Cyanobacteria are photosynthetic prokaryotes that rely on light to grow and reproduce; however, studies suggest heir adaptability to darkness [132]. Whilst no statistically significant correlation was found between depth of collection and either presence or maximum penetration of tunnelling, this is likely a product of small sample size across different collection depths.

Estimating the timing of Wedl-MFD degradation is not well resolved. In the seminal study by Wedl, human tooth dentine submerged in well water produced the first reported tunnels now linked to aquatic environments after only a few weeks [42]. However, in some fresh water and marine settings, tunnelling did not present after 6 and 24 months [12,43], and in other marine environments they occurred after 24 months [35] and four to five years [129]. Our data indicate that under certain conditions, Wedl-tunnelling will not be present even 50 years after deposition. Fossils exposed to tap water of varying pH under laboratory conditions did not exhibit microbial tunnelling after three weeks [133], suggesting that either the environment or timespan was not conducive to microbial growth, or that Wedl tunnelling does not occur post-fossilisation, when the organic and inorganic components of bone have mineralised or degraded. Bivalve shells with low organic contents have presented with similar tunnelling, also attributed to cyanobacteria attack, suggesting tunnelling is determined by the biotic makeup of aquatic environments [134]. That no statistically significant differences in the severity of tunnelling across time scales were found in this study further supports the hypothesis that that local conditions impact the degree of bioerosion.

Previous studies identified that the depth of tunnelling associated with cyanobacteria penetration can vary up to 200–400 µm [76], whilst the maximum depth of penetration from underwater caves extended up to 2250 µm. Time since burial may contribute to differences between bone analysed here and those in early stages of tunnelling, however, tunnelling is not a continuous process as shown by a peripheral degradation pattern on seven million years old bones [75,76]. Differences in penetration depth is likely altered by surface bone loss through corrosion and flaking and exfoliation that reduces the observed penetration depth. Recording the presence of intact bone surfaces is thus critical in measuring degree of penetration.

A possible relationship between aquatic settings, crumbly surface textures, fungi and mosses, and bioerosion across the sub-periosteal regions have been previously identified [19], with some considering this a function of surface corrosion by other biotic agents [70]. A chalky sub-periosteal pocket of degradation and peripheral microboring was identified on some of our samples from underwater caves, frequently exposed through the delamination of exterior surface bone. These regions are associated with tunnelling but not the surface corrosion features linked to staining and biological attack. Tunnelling associated with cyanobacteria thus will not always produce obvious surface modification and is only observed through histological analyses and surface SEM imagery.

Whilst radial microfractures across the secondary osteon cement line are theoretically linked to early diagenesis in aquatic environments [36,40,77], they were not observed in this study. Time since deposition, or the process of mineralisation in water may play a larger role in producing the microfractures identified in fossils from aquatic environments [37,38]. Here, neither a decadal or centennial timeframe produced these observations, nor have they been reproduced in other experimental studies [43].

The relationship between collagen preservation and aquatic environments is not well understood, with initial studies suggesting increased degradation underwater compared to on land [43]. Whilst birefringence cannot directly assess collagen preservation, it was consistently high in our samples, alongside the high collagen yields from radiocarbon dating (S2 Table), and the successful recovery of ZooMs collagen peptides from dry and wet environments. This demonstrates collagen preservation up to 180 years in submerged settings. In thermally cool and hydrologically stable underwater cave environment, collagen hydrolysis may be limited or slow, and thus the rate of water diffusion across bone may occur faster than collagen hydrolysis, preventing radial microfractures. Differences in vessel structures in bone across taxa, and density of primary and secondary Haversian bone, will further influence water diffusion rates across matrices [135]. Although Haversian bone systems were targeted for this study, some specimens contained laminar and longitudinal structures where the movement of water through the vascular network into the surrounding bone matrix is not impeded by cement lines.

Cave zonation and taphonomic expressions

Cave systems do not present as a uniform or homogenous site. Karst systems are hydrologically zoned [136], and biological communities in caves are further controlled by light, decreasing from the light entrance to dark twilight zone [8]. Areas within the cave can be considered taphonomically passive or active [137], with passive regions producing a low degree of modification, and active regions a high degree (Fig 17). Light availability in phreatic caves thus heavily influences bone modifications, from the light, active entrance region to the dark, passive region. Surface corrosion, biotic black staining, and peripheral microboring, may dominate modifications at the entrance and twilight zones. Conversely, darker regions of the cave map present with fewer or no biotic modifications.

thumbnail
Fig 17. Passive (P) and active (A) regions of taphonomic modification across underwater caves accounting for light availability.

The vadose entrance zone can shift between active and passive states depending on the availability of surface water [130]. Further testing across dark and twilight vadose zones is required for a comprehensive understanding of modifications associated with burial conditions.

https://doi.org/10.1371/journal.pone.0343896.g017

An essential consideration for deep time assemblages in phreatic caves are water table fluctuations, and cave development that alters light zones through time [9,130]. Seasonal and eustatic modifications to the water table will shift hydrological zones, potentially modifying the burial environment to a passive system. A change from wet to dry burial environment may be indicated by the presence of delamination on bone surfaces. Tunnelling across bone microstructures due to a mix of bacteria, including cyanobacteria and those of terrestrial origin, can also suggest a mixed taphonomic history. These speleological changes effectively act as reworking events, as they change the burial environments and thus taphonomic histories. Overprinting of different modifications must therefore be a consideration in analyses of changing burial conditions.

Conclusion

Underwater environments were characterised by well-preserved bones that show limited sorting by shape across talus cones. Over 68% of the wet assemblages retained over 80% of their original bone element portion compared to 44% in the dry assemblage, and breakage index distributions were significantly different between the two burial contexts where wet assemblages were less fragmented.

There were significant differences in bone surface modification frequencies between wet and dry burial conditions (Table 5). Whilst weathering scale did not separate the two conditions, parameters of the weathering scale did. Dry bone presented with significantly greater flaking and exfoliation and wet bone with more delamination. Wet conditions significantly increased the frequency of abrasion and physical modifications; however, this is likely a result of the ‘soft’, chalky bone mineral associated with wet bones, predisposing them to collection damage. Both wet and dry assemblages presented with different types of corrosion, with etching occurring more often on dry bones, and surface corrosion on wet specimens. Certain types of etching (circular target etching) were seen solely in wet conditions. A significant association between surface corrosion, continuous black staining with sharp margins, and algae/biofilms was only observed on submerged samples. Frequency of surface corrosion was the only feature influenced by time, with older specimens having greater corrosion on their surfaces.

Bone microstructural bioerosion distinguished between wet and dry conditions, where wet bones presented with a pattern of etching associated with cyanobacteria focused on the sub-periosteal peripheral margins, whilst dry bones were degraded by a range of bioeroders with no identified pattern of degradation. Time was not seen to influence the pattern of microstructural decay. However, a larger dataset would improve the statistical robusticity of tests across difference time scales and depths.

The interplay between light and water are key determinations of modification expression at the macro and histological levels. Changing light conditions across cave zones modify the biological agents within a submerged cave site, increasing activity and thus modifications across the entrance and twilight zone. Further testing of these zones will support reconstructing burial environments from bones deposited in phreatic cave systems.

Supporting information

S1 Appendix. Expanded methods for Neotaphonomic characteristics of vertebrate site formation in underwater caves.

https://doi.org/10.1371/journal.pone.0343896.s001

(DOCX)

S1 Dataset. Bone surface modification frequency data, and histotaphonomy measurements and descriptions associated with wet and dry burial contexts across submerged caves.

https://doi.org/10.1371/journal.pone.0343896.s002

(XLSX)

S1 Fig. Distribution of bone size class [60] across depth (-m).

https://doi.org/10.1371/journal.pone.0343896.s003

(TIF)

S2 Fig. PXRF spectra with calcium (Ca), iron (Fe) and manganese (Mn) indicated.

Associated spectral values and data provided in table. A: complete spectra; B: spectra highlighting Mn and Fe; C: focused view of Mn peaks.

https://doi.org/10.1371/journal.pone.0343896.s004

(TIF)

S3 Fig. Cross-section of GH_09 sheep metatarsal comparing spatial distribution of chalky white texture (A) and cyanobacterial tunnelling (B).

Yellow arrow and indicator identify the area that represents both a chalky degradation and tunnelling. Scale bars represent 5 mm.

https://doi.org/10.1371/journal.pone.0343896.s005

(TIF)

S1 Table. ZooMS analysis and taxonomic ID across a sub-sample of taxon.

https://doi.org/10.1371/journal.pone.0343896.s006

(DOCX)

S2 Table. Radiocarbon dating results from ANSTO and ANU.

https://doi.org/10.1371/journal.pone.0343896.s007

(DOCX)

Acknowledgments

We thank the Burrandies Aboriginal Corporation on whose land this work was conducted, the Department for Environment and Water (DEW) for land access permissions, the Cave Divers Association of Australia specifically Damian Bishop, Kelvyn Ball, Steve Trewavas, Hiro Yoshida, Ellyse Klein and Tanya Yarra for supporting this project, Jody Kruger for additional dive support, Tanya Smith, Kritim Dhakal, Jillian Huntley, Vikram Neelesh Vakil, and Carney Matherson for their support facilitating lab and instrument access, Daniel Kolarich and Arun Everest-Dass for assistance with the ZooMS analysis, and Linda Barry for work extracting isotope data to assess bone quality.

References

  1. 1. Stone TT, Dickel DN, Doran GH. The Preservation and Conservation of Waterlogged Bone from the Windover Site, Florida: A Comparison of Methods. J Field Archaeol. 1990;17(2):177–86.
  2. 2. González González AH, Sandoval CR, Mata AT, Sanvicente MB, Stinnesbeck W, Jeronimo Aviles O. The arrival of humans on the Yucatan Peninsula: Evidence from submerged caves in the state of Quintana Roo, Mexico. Curr Res Pleistocene. 2008;25:1–24.
  3. 3. Rosenberger AL, Godfrey LR, Muldoon KM, Gunnell GF, Andriamialison H, Ranivoharimanana L, et al. Giant subfossil lemur graveyard discovered, submerged, in Madagascar. J Hum Evol. 2015;81:83–7. pmid:25747318
  4. 4. Newton CA. A taphonomic and palaeoecological analysis of the Green Waterhole (5L81), a submerged Late Pleistocene bone deposit in the lower southeast of South Australia. Adelaide: Flinders University. 1988.
  5. 5. Steadman DW, Franz R, Morgan GS, Albury NA, Kakuk B, Broad K, et al. Exceptionally well preserved late Quaternary plant and vertebrate fossils from a blue hole on Abaco, The Bahamas. Proc Natl Acad Sci U S A. 2007;104(50):19897–902. pmid:18077421
  6. 6. Louys J. Practice and prospects in underwater palaeontology. Palaeontol electron. 2018;:1–14.
  7. 7. Walker MM, Louys J. Site formation processes and the taphonomy of vertebrate remains in underwater caves. Earth-Science Reviews. 2024;256:104883.
  8. 8. Kosznik-Kwaśnicka K, Golec P, Jaroszewicz W, Lubomska D, Piechowicz L. Into the Unknown: Microbial Communities in Caves, Their Role, and Potential Use. Microorganisms. 2022;10(2):222. pmid:35208677
  9. 9. Gillieson DS. Caves: Processes, Development, and Management. 2nd ed. Hoboken: Wiley Blackwell; 2021.
  10. 10. Kowalewski M, Labarbera M. Actualistic Taphonomy: Death, Decay, and Disintegration in Contemporary Settings. PALAIOS. 2004;19(5):423–7.
  11. 11. Lyman RL. What Taphonomy Is, What It Isn’t, and Why Taphonomists Should Care About the Difference. J Taphon. 2010;8(1):1–16.
  12. 12. Turner-Walker G. Early bioerosion in skeletal tissues: persistence through deep time. njgpa. 2012;265(2):165–83.
  13. 13. Keenan SW. From bone to fossil: aA review of the diagenesis of bioapatite. Am Mineral. 2016;101(9):1943–51.
  14. 14. Smith HE, Price GJ, Duval M, Westaway K, Zaim J, Rizal Y. Taxonomy, taphonomy and chronology of the Pleistocene faunal assemblage at Ngalau Gupin cave, Sumatra. Quat Int. 2021;603:40–63.
  15. 15. Haglund WD. Disappearance of soft tissue and the disarticulation of human remains from aqueous environments. J Forensic Sci. 1993;38(4):806–15. pmid:8355001
  16. 16. Reed EH. Decomposition and disarticultion of kangaroo carcasses in caves at Naracoorte, South Australia. J Taphon. 2009;7(4):265–84.
  17. 17. Syme CE, Salisbury SW. Patterns of aquatic decay and disarticulation in juvenile Indo-Pacific crocodiles (Crocodylus porosus), and implications for the taphonomic interpretation of fossil crocodyliform material. Palaeogeo Palaeoclimatol Palaeoecol. 2014;412:108–23.
  18. 18. Andrews P. Owls, Caves and Fossils. Chicago: The University of Chicago Press; 1990.
  19. 19. Fernández-Jalvo Y, Andrews P, Pesquero D, Smith C, Marín-Monfort D, Sánchez B. Early bone diagenesis in temperate environments: Part I: Surface features and histology. Palaeogeography, Palaeoclimatology, Palaeoecology. 2010;288(1–4):62–81.
  20. 20. Brian CK. The Hunters or the Hunted? An Introduction to African Cave Taphonomy. Chicago, London: University of Chicago Press; 1981.
  21. 21. Fernández-Jalvo Y, Andrews P. Atlas of Taphonomic Identifications. Delson E, Sargis EJ, editors. Dordrecht Heidelberg New York London: Springer; 2016.
  22. 22. Griffith SJ. Aquatic bone taphonomy: forensic and archaeological implications for the interpretation of submerged bone. Southampton: University of Southampton; 2017.
  23. 23. Littleton J. Taphonomic Effects of Erosion on Deliberately Buried Bodies. J Archaeol Sci. 2000;27:5–18.
  24. 24. Fernández-Jalvo Y, Andrews P. Experimental effects of water abrasion on bone fragments. J Taphon. 2003;1(3):145–61.
  25. 25. Cartajena I, López P, Carabias D, Morales C, Vargas G, Ortega C. First evidence of an underwater Final Pleistocene terrestrial extinct faunal bone assemblage from Central Chile (South America): Taxonomic and taphonomic analyses. Quat Int. 2013;305:45–55.
  26. 26. Cartajena I, Marin F, Carabias D, Pavez J, Yrarrázaval S. How Underwater Bone Taphonomy Looks Like? Reevaluating Taphonomic Indicators in a Late Pleistocene Drowned Terrestrial Site, Chile. In: 14th International Conference for Archaeozoology. Cairns, Australia. 2023.
  27. 27. Guareschi EE, Schönberg CHL, Magni PA, Tobe SS, Nicholls PK, Turner-Walker G. Marine sponge bioerosion in the forensic taphonomy of terrestrial bone. Quat Int. 2023;660:84–94.
  28. 28. Pokines JT, Higgs N. Macroscopic taphonomic alterations to human bone in marine environments. J Forensic Identif. 2015;65(6):953–84.
  29. 29. Brönnimann D, Portmann C, Pichler SL, Booth TJ, Röder B, Vach W, et al. Contextualising the dead – Combining geoarchaeology and osteo-anthropology in a new multi-focus approach in bone histotaphonomy. J Archaeol Sci. 2018;98:45–58.
  30. 30. Bell LS. Histotaphonomy. In: Crowder C, Stout S, editors. Bone Histology: An Anthropological Perspective. Boca Raton, Fla: CRC Press; 2012. 241–52.
  31. 31. Jans M. Microscopic Destruction of Bone. In: Pokines JT, L’Abbe E.N, Symes SA, editors. Manual of Forensic Taphonomy. CRC Press; 2013. 19–36.
  32. 32. Jans MME. Histological Characterisation of Diagenetic Alteration of Archaeological Bone. Amsterdam: Institute for Geo and Bio-archaeology, Vrije Universiteit; 2005.
  33. 33. Hedges REM. Bone diagenesis: an overview of processes. Archaeometry. 2002;44(3):319–28.
  34. 34. Schotsmans EMJ, Stuart BH, Stewart TJ, Thomas PS, Miszkiewicz JJ. Unravelling taphono-myths. First large-scale study of histotaphonomic changes and diagenesis in bone from modern surface depositions. PLoS One. 2024;19(9):e0308440. pmid:39325784
  35. 35. Eriksen AMH, Nielsen TK, Matthiesen H, Carøe C, Hansen LH, Gregory DJ, et al. Bone biodeterioration-The effect of marine and terrestrial depositional environments on early diagenesis and bone bacterial community. PLoS One. 2020;15(10):e0240512. pmid:33057402
  36. 36. Pfretzschner H-U. Fossilization of Haversian bone in aquatic environments. Comptes Rendus Palevol. 2004;3(6–7):605–16.
  37. 37. Pfretzschner H-U, Tütken T. Rolling bones – Taphonomy of Jurassic dinosaur bones inferred from diagenetic microcracks and mineral infillings. Palaeogeography, Palaeoclimatology, Palaeoecology. 2011;310(1–2):117–23.
  38. 38. Marin-Monfort D, de Santisteban C, Garrone M, Montalvo CI, Fernández-Jalvo Y, Fernández FJ, et al. Histotaphonomy of a Pleistocene megamammal assemblage from Argentine Pampas. J South American Earth Sci. 2023;129:104500.
  39. 39. Guareschi EE, Haig DW, Tobe SS, Nicholls PK, Magni PA. Foraminifera—A new find in the microtaphonomical characterization of bones from marine archaeological excavations. Int J Osteoarchaeol. 2021;31(6):1270–5.
  40. 40. Pfretzschner H-U. Microcracks and fossilization of Haversian bone. Neues Jahrbuch Geol Palaontol Abhandlu. 2000;216(3):413–32.
  41. 41. Guareschi EE, Tobe SS, Nicholls PK, Magni PA. Taphonomy and Diagenesis of Human Bone in Underwater Archaeology: A Review of the Current Status and the Proposal of Post-Mortem Submersion Interval (PMSI) as a Potential Forensic Application. J Marit Archaeol. 2021;16(1):57–75.
  42. 42. Turner-Walker G. Light at the end of the tunnels? The origins of microbial bioerosion in mineralised collagen. Palaeogeography, Palaeoclimatology, Palaeoecology. 2019;529:24–38.
  43. 43. Guareschi EE, Nicholls PK, Tobe SS, Magni PA. Taphonomy and diagenesis of submerged bone: An experimental approach. Forensic Sci Int. 2025;370:112416. pmid:40054340
  44. 44. Horne P. Project Report No. 1: “Fossil Cave” - 5L81 Underwater Palaeontological and Surveying Project 1987-1988. South Australian Speleological Society Inc.; 2006.
  45. 45. Horne P. Project Report No. 2: Gouldens Hole - 5L8 - Mapping Project. Hove, SA: South Australian Underwater Speleological Society; 2009.
  46. 46. Mather EK, Lee MSY, Fusco DA, Hellstrom J, Worthy TH. Pleistocene raptors from cave deposits of South Australia, with a description of a new species of Dynatoaetus (Accipitridae: Aves): morphology, systematics and palaeoecological implications. Alcheringa: An Australasian Journal of Palaeontology. 2023;48(1):134–67.
  47. 47. Reed EH, Bourne SJ. Pleistocene fossil vertebrate sites of the South East region of South Australia. Trans R Soc S Aust. 2000;124:61–90.
  48. 48. Department of Environment and Water. Limestone coast prescribed areas 2020–21 water resources assessment DEW technical note 2022/13. Adelaide: Government of South Australia, Department for Environment and Water; 2023.
  49. 49. Wilcken K, Hotchkis M, Levchenko V, Fink D, Hauser T, Kitchen R. From carbon to actinides: A new universal 1MV accelerator mass spectrometer at ANSTO. Nucl Instr Meth Phys Res B. 2015;361:133–8.
  50. 50. Fallon SJ, Fifield LK, Chappell JM. The next chapter in radiocarbon dating at the Australian National University: Status report on the single stage AMS. Nucl Instr Meth Phys Res B. 2010;268(7–8):898–901.
  51. 51. Wood R, Esmay R, Usher E, Fallon S. Sample preparation methods used at the Australian National University radiocarbon facility. Radiocarbon. 2023;65(2):573–89.
  52. 52. Suess HE. Radiocarbon concentration in modern wood. Science. 1955;122(3166):415–7. https://doi.org/10.1126/science.122.3166.415.b
  53. 53. Hua Q. Radiocarbon: A chronological tool for the recent past. Quat Geochronol. 2009;4:378–90.
  54. 54. Unknown Author. Early history of Mount Gambier. The Border Watch. 1946;:8.
  55. 55. Hill LR. Mount Gambier: The city around a cave. Leabrook, SA: Investigator Press; 1972.
  56. 56. MacGillivary L. We have found our paradise: The South-East squattocracy, 1840–1870. J Historical Soc South Australia. 1989;17:25–38.
  57. 57. Uno KT, Quade J, Fisher DC, Wittemyer G, Douglas-Hamilton I, Andanje S, et al. Bomb-curve radiocarbon measurement of recent biologic tissues and applications to wildlife forensics and stable isotope (paleo)ecology. Proc Natl Acad Sci U S A. 2013;110(29):11736–41. pmid:23818577
  58. 58. Hua Q, Turnbull JC, Santos GM, Rakowski AZ, Ancapichún S, De Pol-Holz R, et al. Atmospheric radiocarbon for the period 1950–2019. Radiocarbon. 2021;64(4):723–45.
  59. 59. Fillios M, Blake N. Animal bones in Australian archaeology: A field guide to common native and introduced species. Sydney: Sydney University Press; 2015.
  60. 60. O’Connor TP. The Archaeology of Animal Bones. Stroud: Sutton Publishing Ltd. 2008.
  61. 61. Andrews P, Molleson T, Boz B. The human burials at Çatalhöyük. In: Hodder I, editor. Inhabiting Çatalhöyük reports from the 1995-99 seasons. Cambridge, London: McDonald Institute for Archaeological Research and British Institute of Archaeology at Ankara; 2005. 261.
  62. 62. Blob RW, Fiorillo AR. The significance of vertebrate microfossil size and shape distributions for faunal abundance reconstructions: a Late Cretaceous example. Paleobiology. 1996;22(3):422–35.
  63. 63. Voorhies MR. Taphonomy and Population Dynamics of an Early Pliocene Vertebrate Fauna, Knox County, Nebraska. Laramie, Wyoming: University of Wyoming; 1968.
  64. 64. Lyman LR. Available Meat from Faunal Remains: a consideration of techniques. American Antiquity. 1979;44(3):536–46.
  65. 65. Lyman RL. Quantitative Paleozoology. New York: Cambridge University Press; 2008.
  66. 66. Lyman RL. Vertebrate Taphonomy. Cambridge: Cambridge University Press; 1994.
  67. 67. Dobney K, Rielly K. A method for recording archaeological animal bones: the use of diagnostic zones. Circaea. 1988;5(2):79–96.
  68. 68. Fiorillo AR. Taphonomy of Hazard Homestead Quarry (Ogallala Group), Hitchcock County, Nebraska. Rocky Mountain Geology. 1988;26(2):57–97.
  69. 69. Villa P, Mahieu E. Breakage patterns of human long bones. J Hum Evol. 1991;21:27–48.
  70. 70. Turner‐Walker G. Diagenetic Alterations to Vertebrate Mineralized Tissues – A Critical Review. Handbook of Archaeological Sciences. Wiley; 2023. 1117–55.
  71. 71. Hackett CJ. Microscopical Focal Destruction (Tunnels) in Exhumed Human Bones. Med Sci Law. 1981;21(4):243–65. pmid:7321807
  72. 72. Trueman CN, Martill DM. The long–term survival of bone: the role of bioerosion. Archaeometry. 2002;44(3):371–82.
  73. 73. Bell LS, Elkerton A. Unique marine taphonomy in human skeletal material recovered from the medieval warship Mary Rose. Int J Osteoarchaeol. 2007;18:523–35.
  74. 74. Wedl C. Über einen im Zahnbeim und Knochen keimenden Pilz. Sitzungsberichte der Kaiserlichen Akademie der Wissenschaften, mathematisch-Naturwissenschaftliche Classe. 1865;50.
  75. 75. Pesquero MD, Ascaso C, Alcalá L, Fernández-Jalvo Y. A new taphonomic bioerosion in a Miocene lakeshore environment. Palaeogeography, Palaeoclimatology, Palaeoecology. 2010;295(1–2):192–8.
  76. 76. Pesquero MD, Bell LS, Fernández-Jalvo Y. Skeletal modification by microorganisms and their environments. Hist Biol. 2017;30(6):882–93.
  77. 77. Pfretzschner H-U. Collagen gelatinization: the key to understand early bone-diagenesis. pala. 2006;278(1–6):135–48.
  78. 78. Huntley J. Taphonomy or Paint Recipe: In situ portable x-ray fluorescence analysis of two anthropomorphic motifs from the Woronora Plateau, New South Wales. Aust Archaeol. 2016;75(1):78–94.
  79. 79. Huntley J, Aubert M, Ross J, Brand HEA, Morwood MJ. One Colour, (at least) Two Minerals: A Study of Mulberry Rock Art Pigment and a Mulberry Pigment ‘Quarry’ from the Kimberley, Northern Australia. Archaeometry. 2015;57(1):77–99.
  80. 80. Behrensmeyer AK. Taphonomic and ecologic information from bone weathering. Paleobiology. 1978;4(2):150–62.
  81. 81. Walker MM, Louys J, Herries AIR, Price GJ, Miszkiewicz JJ. Humerus midshaft histology in a modern and fossil wombat. Aust Mammal. 2021;43(1).
  82. 82. Turner-Walker G, Nielsen-Marsh CM, Syversen U, Kars H, Collins MJ. Sub-micron Spongiform Porosity is the Major Ultra-structural Alteration Occurring in Archaeological Bone. Int J Osteoarchaeol. 2002;12(6):407–14.
  83. 83. Hackett CJ. Microscopical Focal Destruction (Tunnels) in Exhumed Human Bones. Med Sci Law. 1981;21(4):243–65. pmid:7321807
  84. 84. Hedges REM, Millard AR. Measurements and relationships of diagenetic alteration of bone from three archaeological sites. J Archaeol Sci. 1995;22.
  85. 85. Prittard CR. Reconstructing the breed and introduction of South Australia’s first sheep from ancient DNA. Nathan, QLD: Griffith University; 2024.
  86. 86. Stathopoulou E, Phoca Cosmetatou N, Theodoropoulou T, Mallouchou M, Margariti E, Psycharis V. Origin of archaeological black bones within a waterlogged context: A multidisciplinary approach. Palaeogeography, Palaeoclimatology, Palaeoecology. 2019;534:109334.
  87. 87. Hedges REM, Millard AR, Pike AWG. Measurements and Relationships of Diagenetic Alteration of Bone From Three Aarchaeological Sites. J Archaeol Sci. 1995;22(2):201–9.
  88. 88. Philippsen B. The freshwater reservoir effect in radiocarbon dating. Heritage Science. 2013;1(24):1–19.
  89. 89. Keaveney EM, Reimer PJ. Understanding the variability in freshwater radiocarbon reservoir offsets: A cautionary tale. J Archaeol Sci. 2012;39(5):1306–16.
  90. 90. Zazzo A, Saliège J-F. Radiocarbon dating of biological apatites: A review. Palaeogeography, Palaeoclimatology, Palaeoecology. 2011;310(1–2):52–61.
  91. 91. Chatters JC, Kennett DJ, Asmerom Y, Kemp BM, Polyak V, Nava Blank A. Late Pleistocene Human Skeleton and mtDNA Link Paleoamericans and Modern Native Americans. Sci Rep. 2014;344:750–4.
  92. 92. Zazzo A. Bone and enamel carbonate diagenesis: A radiocarbon prospective. Palaeogeography, Palaeoclimatology, Palaeoecology. 2014;416:168–78.
  93. 93. Lewis ID. Interpreting the Mount Gambier cenotes (sinkholes) within the Kanawinka Geopark. ACKMA Journal. 2007;17:75–82.
  94. 94. Eberhard R. Conservation Column No. 2: Use and abuse of sinkholes. ACKMA Journal. 2005;61:22–4.
  95. 95. Aslan A, Behrensmeyer AK. Taphonomy and time resolution of bone assemblages in a contemporary fluvial system; the East Fork River, Wyoming. PALAIOS. 1996;11(5):411–21.
  96. 96. Frostick L, Reid I. Taphonomic significance of sub‐aerial transport of vertebrate fossils on steep semi‐arid slopes. LET. 1983;16(2):157–64.
  97. 97. Boaz NT, Behrensmeyer AK. Hominid taphonomy: Transport of human skeletal parts in an artificial fluviatile environment. Am J Phys Anthropol. 1976;45(1):53–60. pmid:822728
  98. 98. Reed EH. In situ taphonomic investigation of Pleistocene large mammal bone deposits from the Ossuaries, Victoria Fossil Cave, Nacoorte, South Australia. Helictite. 2006;39(1):5–15.
  99. 99. Reed EH. Vertebrate Taphonomy of Large Mammal Bone Deposits, Naracoorte Caves World Heritage Area. South Australia [PhD dissertation]: Adelaide: The Flinders University of South Australia; 2003.
  100. 100. Fernández-Jalvo Y, Denys C, Andrews P, Williams T, Dauphin Y, Humphrey L. Taphonomy and palaeoecology of Olduvai Bed-I (Pleistocence, Tanzania). J Hum Evol. 1998;34(2):137–72. pmid:9503092
  101. 101. Pokines JT, Symes SA. Fluvial Taphonomy. In: Pokines JT, L’Abbe E.N, Symes SA, editors. Manual of Forensic Taphonomy. Boca Raton: CRC Press; 2014. 115–41.
  102. 102. Turner-Walker G. Degradation pathways and conservation strategies for ancient bone from wet, anoxic sites. In: Proceedings of the 10th ICOM Group on Wet Organic Archaeological Materials Conference, 2009.
  103. 103. Pokines JT, Higgs ND. Marine Environmental Alterations to Bone. In: Pokines JT, L’Abbe E.N, Symes SA, editors. Manual of Forensic Taphonomy. CRC Press; 2021. 193–250.
  104. 104. Pokines JT, Faillace K, Berger J, Pirtle D, Sharpe M, Curtis A, et al. The effects of repeated wet-dry cycles as a component of bone weathering. J Arch Sci Rep. 2018;17:433–41.
  105. 105. Pokines JT, Baker JE. Effects of Burial Environment on Osseous Remains. In: Pokines JT, L’Abbe E.N, Symes SA, editors. Manual of Forensic Taphonomy. CRC Press; 2021. 103–62.
  106. 106. Entwisle TJ, Skinner S, Lewis SH, Foard HJ. Algae of Australia: Batrachospermales, Thoreales, Oedogoniales and Zygnemaceae. Clayton: CSIRO Publishing; 2007.
  107. 107. McCarthy PM. Flora of Australia Volume 51 (Mosses). McCarthy PM, editor. Canberra & Melbourne: Australia Biological Resource Study, CSIRO; 2006.
  108. 108. Zeidler W. A new species of crustacean (Syncarida: Anaspidacea: Koonungidae) from sinkholes and caves in the south-east of South Australia. Trans R Soc S Aust. 1985;109:63–75.
  109. 109. Stinnesbeck SR, Frey E, Olguín JA, Stinnesbeck W, Zell P, Mallison H, et al. Xibalbaonyx oviceps, a new megalonychid ground sloth (Folivora, Xenarthra) from the Late Pleistocene of the Yucatán Peninsula, Mexico, and its paleobiogeographic significance. PalZ. 2017;91(2):245–71.
  110. 110. Stoessell RK, Ward WC, Ford BH, Schuffert JD. Water chemistry and CaCo3 dissolution in the saline part of an open-flow mixing zone, coastal Yucatan Peninsula, Mexico. Geol Soc America Bulletin. 1989;101:159–69.
  111. 111. Pesquero MD, Fernández-Jalvo Y. Bioapatite to calcite, an unusual transformation seen in fossil bones affected by aquatic bioerosion. LET. 2014;47(4):533–46.
  112. 112. Collareta A, Tsai C-H, Coletti G, Bosselaers M. Thatchtelithichnus on a Pliocene grey whale mandible and barnacles as possible tracemakers. njgpa. 2021;302(1):53–61.
  113. 113. Kip N, van Veen JA. The dual role of microbes in corrosion. ISME J. 2015;9(3):542–51. pmid:25259571
  114. 114. Mulec J, Kosi G, Vrhovsek D. Characterization of Cave Aerophytic Algal Communities and Effects of Irradiance Levels on Production of Pigments. J Cave and Karst Stud. 2008;70(1).
  115. 115. Cappitelli F, Salvadori O, Albanese D, Villa F, Sorlini C. Cyanobacteria cause black staining of the National Museum of the American Indian Building, Washington, DC, USA. Biofouling. 2012;28(3):257–66. pmid:22435895
  116. 116. Maestri C, Hébert RL, Di Martino P. Biofilm associated with pigmented areas on a waterproofing coating surface. AIMS Microbiol. 2025;11(1):74–86. pmid:40161240
  117. 117. Brankovits D, Pohlman JW, Niemann H, Leigh MB, Leewis MC, Becker KW, et al. Methane- and dissolved organic carbon-fueled microbial loop supports a tropical subterranean estuary ecosystem. Nat Commun. 2017;8(1):1835. pmid:29180666
  118. 118. Griffith SJ, Thompson CEL, Thompson TJU, Gowland RL. Experimental abrasion of water submerged bone: The influence of bombardment by different sediment classes on microabrasion rate. J Archaeol Sci Rep. 2016;10:15–29.
  119. 119. Thompson CEL, Ball S, Thompson TJU, Gowland R. The abrasion of modern and archaeological bones by mobile sediments: the importance of transport modes. J Archaeol Sci. 2011;38(4):784–93.
  120. 120. d’Errico F, Giacobini G, Puech PF. Varnish replicas: a new method for the study of worked bone surfaces. Int J Skeletal Res. 1984;9–11:29–51.
  121. 121. Christensen AM, Myers SW. Macroscopic Observations of the Effects of Varying Fresh Water pH on Bone. J Forensic Sci. 2011;56(2):475–9. pmid:21342189
  122. 122. López-González F, Grandal-d’Anglade A, Ramón Vidal-Romaní J. Deciphering bone depositional sequences in caves through the study of manganese coatings. J Archaeol Sci. 2006;33(5):707–17.
  123. 123. Fernández-Jalvo Y, Monfort MDM. Experimental taphonomy in museums: Preparation protocols for skeletons and fossil vertebrates under the scanning electron microscopy. Geobios. 2008;41(1):157–81.
  124. 124. Barrón-Ortiz CI, Sawchuk MR, Li C, Jass CN. Conservation of Subfossil Bones from a Lacustrine Setting: Uncontrolled and Controlled Drying of Late Quaternary Vertebrate Remains from Cold Lake, Western Canada. cofo. 2018;32(1–2):1–13.
  125. 125. Eric M, Puhar EG, Jaklic A, Solina F. The Necessity of Changing the Methodology of Preserving Waterlogged Wooden Objects: The Case of a Palaeolithic Wooden Point from the Ljubljanica River. Skyllis. 2018;2:174–85.
  126. 126. Grant T. Conservation of Wet Faunal Remains: Bone, Antler, and Ivory - Canadian Conservation Institute (CCI) Notes 4/3. 2007.
  127. 127. Wescott DJ. Postmortem change in bone biomechanical properties: Loss of plasticity. Forensic Sci Int. 2019;300:164–9. pmid:31125761
  128. 128. Turner-Walker G, Jans M. Reconstructing taphonomic histories using histological analysis. Palaeogeography, Palaeoclimatology, Palaeoecology. 2008;266(3–4):227–35.
  129. 129. Yoshino M, Kimijima T, Miyasaka S, Sato H, Seta S. Microscopical study on estimation of time since death in skeletal remains. Forensic Sci Int. 1991;49(2):143–58. pmid:1855715
  130. 130. Cennamo P, Marzano C, Ciniglia C, Pinto G, Cappelletti P, Caputo P, et al. A survey of the algal flora of anthropogenic caves of Campi Flegrei (Naples, Italy) archeological district. JCKS. 2012;74(3):243–50.
  131. 131. Popović S, Nikolić N, Jovanović J, Predojević D, Trbojević I, Manić L, et al. Cyanobacterial and algal abundance and biomass in cave biofilms and relation to environmental and biofilm parameters. IJS. 2019;48(1):49–61.
  132. 132. Hood RD, Higgins SA, Flamholz A, Nichols RJ, Savage DF. The stringent response regulates adaptation to darkness in the cyanobacterium Synechococcus elongatus. Proc Natl Acad Sci U S A. 2016;113(33):E4867-76. pmid:27486247
  133. 133. Sullivan CA, Keenan SW. Experimental dissolution of fossil bone under variable pH conditions. PLoS One. 2022;17(10):e0274084. pmid:36227874
  134. 134. Pawłowska AM, Paliñska KA, Piekarek-Jankowska H. Colonisation and bioerosion of marine bivalve shells from the Baltic Sea by euendolithic cyanobacteria: an experimental study. Current developments in bioerosion. Springer Berlin Heidelberg. 109–22.
  135. 135. Francillon-Vieillot H, de Buffrénil V, Castanet J, Géraudie J, Meunier FJ, Sire JY, et al. Microstructure and Mineralization of Vertebrate Skeletal Tissues. Skeletal Biomineralization: Patterns, Processes and Evolutionary Trends. Springer US; 1991. 471–530. https://doi.org/10.1029/SC005p0175
  136. 136. Ford DC, Williams PW. Karst Geomorphology and Hydrology. London, England: Unwin Hyman; 2007.
  137. 137. Woodward JC, Goldberg P. The sedimentary records in Mediterranean rockshelters and caves: Archives of environmental change. Geoarchaeology. 2001;16(4):327–54.