Habitat loss and overexploitation are among the primary factors threatening populations of many mammal species. Recently, aquatic mammals have been highlighted as particularly vulnerable. Here we test (1) if aquatic mammals emerge as more phylogenetically urgent conservation priorities than their terrestrial relatives, and (2) if high priority species are receiving sufficient conservation effort. We also compare results among some phylogenetic conservation methods.
A phylogenetic analysis of conservation priorities for all 620 species of Cetartiodactyla and Carnivora, including most aquatic mammals. Conservation priority ranking of aquatic versus terrestrial species is approximately proportional to their diversity. However, nearly all obligated freshwater cetartiodactylans are among the top conservation priority species. Further, ∼74% and 40% of fully aquatic cetartiodactylans and carnivores, respectively, are either threatened or data deficient, more so than their terrestrial relatives. Strikingly, only 3% of all ‘high priority’ species are thought to be stable. An overwhelming 97% of these species thus either show decreasing population trends (87%) or are insufficiently known (10%). Furthermore, a disproportional number of highly evolutionarily distinct species are experiencing population decline, thus, such species should be closely monitored even if not currently threatened. Comparison among methods reveals that exact species ranking differs considerably among methods, nevertheless, most top priority species consistently rank high under any method. While we here favor one approach, we also suggest that a consensus approach may be useful when methods disagree.
These results reinforce prior findings, suggesting there is an urgent need to gather basic conservation data for aquatic mammals, and special conservation focus is needed on those confined to freshwater. That evolutionarily distinct—and thus ‘biodiverse’—species are faring relatively poorly is alarming and requires further study. Our results offer a detailed guide to phylogeny-based conservation prioritization for these two orders.
Citation: May-Collado LJ, Agnarsson I (2011) Phylogenetic Analysis of Conservation Priorities for Aquatic Mammals and Their Terrestrial Relatives, with a Comparison of Methods. PLoS ONE 6(7): e22562. https://doi.org/10.1371/journal.pone.0022562
Editor: Michael Hofreiter, University of York, United Kingdom
Received: February 23, 2011; Accepted: June 24, 2011; Published: July 25, 2011
Copyright: © 2011 May-Collado, Agnarsson. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: The authors have no support or funding to report.
Competing interests: The authors have declared that no competing interests exist.
The ongoing biodiversity crisis is significantly effecting mammals and between 21% and 36% of the 5,847 extant mammalian species are threatened . About 76 species have gone extinct since 1500s, and an additional 29 critically endangered species are thought to be on the brink of extinction , . Extensive human land use, global climate change, and hunting and by-catch are the main factors affecting mammalian populations worldwide, in some cases causing rapid local and regional defaunation , . Schipper et al.  proposed aquatic mammals as particularly vulnerable to current threats to marine and freshwater environments including pollution, intense harvesting (e.g., of minke whales, harp seals) –, climate change (e.g., polar bear, walrus, fur seals, and narwhals) – and high incidental mortality in fishing nets (e.g., small cetaceans, fur seals) –. In light of such threats, and faced with limited resources, establishing conservation priorities for aquatic and terrestrial mammals is an urgent task.
Many criteria are being used to prioritize conservation effort. Prominently, the IUCN Red List establishes the imperilment of species based on several criteria including population size, distribution, fragmentation, and rate of decline of populations . In addition to risk, factors unique to each species may influence conservation decisions, including the ecological role of species, species “charisma”, and cost and feasibility of successful conservation , as well as ‘latent extinction risks” based on species biological traits .
Recently, the evolutionary history of species and lineages has begun to be considered as well, and such information is increasingly being used to establish conservation priorities –. Species differ in the amount of unique evolutionary history they represent. The loss of evolutionarily unique species with no close relatives represents a greater loss of biodiversity than the loss of a species whose evolutionary history is, to a large degree, shared with one or more closely related species. In other words, the extinction of a single species could have a minor effect on the tree of life if that species has many close relatives, while on a species-poor branch its loss could extinguish that entire branch. Therefore, phylogenies provide an additional measure of biodiversity that compliments species richness and thus considering evolutionary distinctiveness should play a role in prioritizing species for conservation, if the goal is to maximally conserve biodiversity.
A combination of criteria including both evolutionary distinctiveness and level of imperilment may thus provide a good assessment of where conservation efforts may be most urgent . This prioritizing of species can be achieved by using EDGE  and HEDGE  metrics, which consider both evolutionary distinctiveness (i.e. how much unique evolutionary history the species represent) as well as extinction risk. Use of these kinds of methods underlies the EDGE program , a global initiative, which focuses on the conservation of ‘one-of-a-kind species’, that is, threatened species that are highly evolutionarily distinct. The EDGE program highlights the potential for these methods to be used in conservation research. Phylogenies also have revealed that extinction risk is phylogenetically non-random, implying that the biological traits of groups of closely related species (clades) affects how species respond to human impact , . Thus phylogenies can help us understand why species are at risk and assist in the prediction of future risk of species.
To date, the most comprehensive study estimating phylogenetic conservation priorities for mammals is Isaac et al. . In that landmark study, they rank species of ‘all’ mammals and thus include both orders considered here. However, (1) several Cetartiodactyla and Carnivora species were missing from their phylogeny, approximately 10% of currently recognized species, to the best of our knowledge; (2) they used a mammalian supertree with relatively low resolution; and (3) they considered only one, and arguably not the most appropriate, of the available approaches to estimate conservation priorities. In this study, we prefer one particular approach, but also consider how sensitive the results are to choice among a range of available methodologies, including the EDGE and HEDGE metrics [see 27] and propose a consensus approach that may be useful when species ranks differ among methods. Furthermore, we use virtually species-complete phylogenies for the two orders containing most of the aquatic mammal diversity (modified phylogenies of Cetartiodactyla  and Carnivora ). We estimate conservation priorities for species to provide a more detailed ranking of conservation priorities than prior studies, and specifically test (1) if aquatic mammals emerge as more urgent conservation priorities than their terrestrial relatives and (2) examine if current conservation effort for high priority species is successful.
Materials and Methods
We use the most detailed primary-data species-level phylogenies available , . However, these phylogenies did not include all species, hence we added the missing species to reconstruct phylogenies including all 333 Cetartiodactyla and 287 extant Carnivora taxa prior to conservation-priority analyses. To ensure we added all described species of each order to the original phylogenies we used the detailed Youtheria  and IUCN Red List databases . ‘Missing’ taxa from ,  were added using the following approaches. Species for which DNA data had just recently become available in Genbank were simply added to the matrices and analyses rerun using the same settings as in Agnarsson and May-Collado  and Agnarsson et al. . For the remaining species we added them manually according with their placement in (1) the mammal supertree , and (2) for species absent in the supertree we added them according to current taxonomy. Manually added species were added unresolved at the base of their least inclusive taxonomic unit (usually genus), unless their placement was more exactly indicated in the mammal supertree. Branch lengths of manually added taxa were assumed to be approximately equal to their sister taxon when placed ‘precisely’, or represent averages of other terminal taxa in the least inclusive taxonomic group when placed as unresolved at the base of the taxon.
Many methods exist to integrate IUCN data with phylogenetic information to establish conservation priorities, and which approach is best is debated in e.g. Faith  and Mooers et al. . For example, Mooers et al.  summarize five different methods to transform IUCN risk categories to % extinction risk. Once a transformation method has been chosen, one then has a choice among methods to establish evolutionary/phylogenetic distinctiveness. Faith  e.g. argues that the phylogenetic distinctiveness class of methods (PD) outperforms the ‘standard’ EDGE methodology. This is because PD methods such as HEDGE considers the extinction probabilities of relatives, when estimating the contribution of a given species to evolutionary diversity , . Finally, one may choose to consider the ‘raw’ branch lengths of phylogenetic trees as informative as they represent unique evolutionary information contained in terminal taxa, or alternatively, focus on the relative placement of taxa on the tree by ultrametricizing the trees prior to analyses. These are but a few of the possible choices, yet result in 20 different analyses to establish conservation priorities, the variation among which has barely been explored. Here, we estimate the sensitivity of the results to a priori choice of criteria for transforming IUCN values to extinction risk, using the five translation methods discussed in Mooers et al. : “Isaac”, “Pessimistic”, “IUCN 50”, “IUCN 100” and “IUCN 500”. We also use two distinct methodologies, the ‘traditional’ EDGE approach and a phylogenetic diversity  type method, HEDGE [see 41]. Furthermore, we ran analyses both across trees with ‘raw’ branch lengths as estimated by MrBayes, as well as using ultrametricized trees. A priori we favor one approach, namely the HEDGE analysis of the ‘pessimistic’ transformed data on the ‘raw branch length’ phylogeny. We agree with Faith  and Kuntner et al.  that HEDGE as a phylogenetic diversity (PD) type approach, better achieves the goal of phylogeny-based conservation than EDGE [see above and 41 for detail]. In addition, we prefer the “Pessimistic” transformation method over the others as it seems more realistic to assume that practically all species are at some considerable risk of extinction . The other transformation methods assume that species in the ‘least concern’ category are essentially ‘safe’, being at very low % risk of extinction. However, monitoring IUCN categories over time shows that species status may often change rapidly; few species seem safe in the long run. Finally, we favor using ‘raw’ branch lengths as that approach more fully utilizes information from the tree: branches contain information about evolutionary uniqueness of terminal taxa, beyond the mere placement of species. Nevertheless, we also see merit in comparing results among methods, as arguably species that emerge as high priorities regardless of methodology are indisputably important. Thus, while we present in detail the conservation priority ranking of one among the set of methods, we also highlight the congruence among methods, measure simply as species shared among analyses in the top-30 list suggested by each method, and highlight top priority conservation species which all methods rank highly.
For species for which the Red List does not estimate extinction risk due to insufficient information (data deficient - DD), we arbitrarily assigned an extinction risk value in between the two lowest IUCN Red List categories (least concern and near threatened). This is a conservative estimate, made simply to be able to include these species in the analysis. Conservative, because presumably in many cases the reason species are too poorly known to be IUCN-listed is limited distribution and/or absolute rarity, which, if better known, might place them in higher risk categories that those here indicated.
We performed our analyses of conservation priorities integrating IUCN categories and the evolutionary history of species using the TUATARA module version 1.01  in the evolutionary analysis package MESQUITE version 2.74 . For each of the transformations we used two metrics: the Evolutionarily Distinct, Globally Endangered (EDGE) metric, and “heightened ” EDGE (HEDGE) metric. Both define species priority ranks given the phylogeny and the probabilities of extinction , with HEDGE in addition considering the probabilities of other species going extinct to calculate the ‘expected terminal branch length’ of taxa after some episodes of extinction [a PD]-[style approach, see 40, 41 for details].
Finally, to examine if evolutionarily distinct species (high ED) are facing particularly great threats we estimated ED in Mesquite. We then calculated the number of species with populations declining, unknown, stable, and on the increase, among all species of both orders, and compared that to the population status of the top 60 ED list using a chi-square test.
Conservation Priorities based on HEDGE
We focus on the results of the preferred analysis, HEDGE of the ‘pessimistic’ transformed data (Figures 1,2, Tables 1, 2,3, Table S1, S2), however, in general EDGE results are similar and conservation priority species both methodologies agree on are highlighted in Figures 1 and 2 (see also Table 3, S2). The top ranking species from the ‘consensus’ approach also are, to a large degree, shared with the HEDGE-pessimistic approach (Table 3, S2).
(Red dots = Critically Endangered, Orange dots = Endangered, Yellow dots = Vulnerable, Dark Green dots = Least Concern, Light Green = Near Threat, Blue = Data Deficient).
(Red dots = Critically Endangered, Orange dots = Endangered, Yellow dots = Vulnerable, Dark Green dots = Least Concern, Light Green = Near Threat, Blue = Data Deficient).
The top-30 priority cetartiodactylan species for conservation according with the HEDGE/pessimistic metric are shown in Figure 1 and Table 1 (see Table S1 for more detailed results). Among the high-ranking conservation priorities are nearly all of the obligate and facultative freshwater species (Baiji, boto, Indus river, Ganges river dolphins, and finless porpoise), the semi-aquatic hippopotamus and pygmy hippopotamus, two marine species (sperm whale, Franciscana dolphin), and one species restricted to riverine habitats: the water chevrotain. The remaining species are terrestrial among them the Bactrian camel, Chacoan peccary, saola, Sambar deer, four-horned antelope, hairy Babirusa, Visayan warty pig, and several species of musk deer (Table 1).
The top 30 priority carnivore species for conservation are shown in Figure 2 and Table 2. The list includes four aquatic species (walrus, Hawaiian and Mediterranean monk seals, and the Northern fur seal), five semi-aquatic species (giant river otter, sea otter, European marbled polecat, Asian small clawed otter, and the smooth-coated otter), and one species restricted to riverine habitats (flat-headed cat). The remaining species are all terrestrial, where the red and giant panda ranked as the highest conservation priorities. Other high-ranking terrestrial species include eight species of cats: black-footed cat, Sunda clouded leopard, Cheetah, snow leopard, jaguar, clouded leopard, tiger, and the Andean mountain cat, Owston's and Sulawesi palm civets, Liberian Mongoose, fossa, spectacled bear, Malagasy civet, and the binturong (Table 2, Table S1).
Congruence among methods
Differences among the myriad of available methodologies to estimate phylogeny-based conservation priorities remain unexplored. We explored 20 different combinations of analysis parameters, including the one used by Isaac et al. . We find that method choice has marked impact on the exact ranking of conservation priorities. In fact, all 20 parameter combinations resulted in different species rankings, some individual species differing dramatically in rank from one to another (Tables 1,2,3,4,5, S1,S2). Nevertheless, if e.g. focusing on top priority species, such as top-30 lists based on each method, such lists largely overlap in the species contained despite differences in the exact rank of each species (Table 3, S2). For example, the Baiji dolphin was ranked as number one conservation priority by all 20 methods, and another 16 species were also listed among the top-30 conservation species by all methods, with slight variations in their relative ranking (Table S1, S2). Hence, overall congruence among methods when focusing on what species emerge as high priorities, rather than their exact rank, is relatively good.
The species that rank high under a range of methods, in other words are high priority regardless of methodology (Table 3, S2), include most of the freshwater cetartiodactylans listed above, and other cetaceans such as blue whale, fin whale, sei whale, and the Vaquita. These also include the above mentioned aquatic carnivores as well as the Caspian seal, hooded seal, and the Galapagos, Australian, and Steller sea lions.
Evolutionarily distinct species
The 30 most evolutionary distinct (ED) cetartiodactylans include three freshwater species (Baiji, Franciscana, and boto dolphins), two semi-aquatic species (hippopotamus and pygmy hippopotamus), five marine species (sperm whale, dwarf and pygmy sperm whales, North Atlantic bottlenose whale, and pygmy beaked whale), and 20 terrestrial species (Tables 4,5, S1). The Baiji is the most ED taxon in our analysis, and other high-ranking species include Nilgai, Franciscana, boto, sperm whale, dwarf sperm whale, the hippos, Java chevrotain, Greater mouse deer, okapi, Chacoan peccary, red river hog, and both Dromedary and Bactrian camels (Table 4,5, S1).
The most evolutionarily distinct carnivores include four aquatic species (walrus, Hawaiian monk seal, giant otter, and Sunda otter civet), and 26 terrestrial species among them the South American coati, red and giant panda, meerkat, fossa, tayra, kinkajou, jaguar, black-footed cat, spectacle bear, and several Civet species (see Table 4,5, S1). The walrus is the most ED taxon followed by the red panda, kinkajou, banded linsang, common genet and the aardwolf.
Evolutionarily distinct species are disproportionally on the decline and more poorly known than the average species in these two orders, and relatively few high ED species are stable, and none is on the increase (χ2 = 15.8, p = 0.0012, df = 3).
Here we provide phylogenetic conservation priorities for the two largest groups of aquatic mammals and their terrestrial relatives (Cetartiodactyla and Carnivora), based on phylogenetic information and species imperilment. Our results provide a more detailed phylogenetic conservation resource for these two groups than prior work, and guideline for allocation of future conservation effort (Figure 1, Tables 1,2,3,4,5, S1,S2).
Our findings indicate that evolutionarily distinctiveness and conservation priorities are in general distributed among terrestrial and aquatic species in proportion to their diversity (Tables 1,2,3,4,5, S1,S2). However, several observations highlight the need for special conservation effort for aquatic mammals. Many aquatic mammals are evolutionarily distinct species adapted to fragile ecosystems where their populations have suffered high levels of human exploitation. For instance, seven of the extant obligated and facultative freshwater cetartiodactylan species (Baiji, Boto, Ganges and Indus River Dolphins, Finless Porpoise, hippo and pygmy hippo) rank as top conservation priorities. Most of these can be characterized as relict species-poor lineages, that have diversified little or not at all, following transition to freshwater , . We note that freshwater populations of the Irrawaddy dolphin (Orcaella brevirostris) are also critically endangered [see 19], but as marine populations are doing relatively better the species does not emerge as particularly high priority using the current methodology. However, this also demonstrates high relative threats to freshwater mammal species and populations. The high conservation priority of freshwater mammals may relate to various factors. Habitat pressure is particularly high in freshwater systems where some rivers have become highly polluted, both chemically and acoustically. In addition, many of the main freshwater streams are dammed and suffer from heavy boat traffic posing a direct threat to the animals. For example, the Baiji (Yangtze) river dolphin is the highest-ranking conservation priority of all species considered in this study (Table S1). Although it is currently characterized as critically endangered with unknown population status, it is thought to have recently gone extinct, due to a combination of factors with the most important probably being incidental by-catch using rolling hooks, nets, and electro-fishing, but also other factors such as noise pollution, and direct impact with boats , . Another high-ranking conservation priority inhabitant of the Yangtze River is the finless porpoise, which scientists fear may be facing a similar fate as the Baiji . Furthermore, the highly evolutionarily distinct walrus and sperm whale also are relict species. Both species have suffered intense historical hunting, and currently there is insufficient knowledge of their population trend. Although protected by law these marine species are also threatened by climate change, a concern that may require new management approaches , .
Among the terrestrial species that rank among the top conservation priorities, between 60–70% have highly restricted ranges where they are mainly threatened by habitat loss and harvesting . For instance, the red panda populations are mainly affected by habitat fragmentation and poaching – which is causing population bottlenecks and inbreeding . Similarly, the giant panda and the white-spotted Chevrotain may be facing local extinction across their distribution due to intense habitat fragmentation , .
The majority of the top 60 conservation priority species are under some kind of law protection (e.g., CITES, hunting regulations) and occur in one or more protected areas [see 19]. Some species like the tiger and giant panda have been the focus of intense public and conservation attention. Nevertheless, despite their occurrence in protected areas, and other existing conservation efforts, these species are nearly universally declining , , . Overall, of the 620 species considered in the analysis, populations are decreasing for 46% of the species, 24% are stable or increasing, and for 30% population trends are unknown. For the 60 top conservation priority species, populations of 87% are decreasing, and for another 10% data are insufficient to tell. Therefore, strikingly, only 3% of the top conservation priority species are thought to be stable or on the increase. Furthermore, it is interesting to observe that more highly evolutionarily distinct species are declining and unknown, and fewer are stable and on the increase (zero) than expected if they represented a random draw of species from these two orders. Hence there may be something about high ED species that makes them more vulnerable to human activities, while these are arguably particularly important to conserve. Thus, our findings leave no doubt that for those species that are, or arguably should be, receiving the greatest conservation effort, including large charismatic mammals that are conservation icons, our current effort seems to be insufficient to maintain population sizes , –. As exemplified by the red panda, reduced population sizes can only lead to increased risk of extinction, both through direct constraints, and further problems such as reduced genetic variability, and lack of populations to boost variability in depleted populations . Why is our effort failing? The main causes of population decrease are in most cases some kind of extraction. Overall, populations of nearly 80% of the species are thought to be decreasing due to hunting, incidental mortality or illegal trading, and close to 60% are on the decrease due to habitat loss, which are general threats affecting most mammals. In this light of conservation effort that currently seems not to be achieving its goals, analyses such as the present are important. Clearly, there is an urgent need to focus conservation effort so that at least some of the species that are deemed to be relatively important are secured into the future, and it is important to understand why protected species are still on the decline, and why high ED species are faring more poorly than lower ED species.
We note that we here consider only extinction risk and evolutionarily distinctiveness. Many other factors contribute to conservation decision-making. These include ecological function and importance of species, economic value, and charisma among others. Perhaps, in light of ongoing population declines in the vast majority of top conservation priority cetartiodactylans and carnivores, one of the first and most important factors to consider is feasibility of successful conservation strategies , . However, measures such as the one we provide here may help to focus attention on species whose loss would prune disproportionably deep branches of the tree of life.
Full data set for evolutionary distinctiveness, EDGE and HEDGE calculations using TUATARA (Carnivores = 387, Cetartiodactyls = 333).
We thank Wayne Maddison and Arne Mooers for their help and suggestions with the phylogenetic analysis and software. Thanks to Arne Mooers, Dennis Hansen, Michael Hofreiter and two anonymous reviewers for their thoughtful suggestions that improved the manuscript.
Conceived and designed the experiments: LJM-C IA. Performed the experiments: LJM-C IA. Analyzed the data: LJM-C IA. Contributed reagents/materials/analysis tools: LJM-C IA. Wrote the paper: LJM-C IA.
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