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

Tandem reef restoration using corals and sea urchins: Building complex habitat for herbivores

  • Catherine Lachnit ,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Visualization, Writing – original draft

    catherine.lachnit@earth.miami.edu

    Affiliation Department of Marine Biology and Ecology, Rosenstiel School of Marine, Atmospheric, and Earth Science, University of Miami, Key Biscayne, Florida, United States of America

  • Emily Esplandiu,

    Roles Writing – review & editing

    Affiliation Department of Marine Biology and Ecology, Rosenstiel School of Marine, Atmospheric, and Earth Science, University of Miami, Key Biscayne, Florida, United States of America

  • Joshua Patterson,

    Roles Resources, Writing – review & editing

    Affiliation Fisheries and Aquatic Sciences, School of Forest, Fisheries, and Geomatics Sciences, University of Florida/IFAS, Gainesville, Florida, United States of America

  • Diego Lirman

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

    Affiliation Department of Marine Biology and Ecology, Rosenstiel School of Marine, Atmospheric, and Earth Science, University of Miami, Key Biscayne, Florida, United States of America

Abstract

Amidst the decline of coral reef ecosystems, restoration practitioners are expanding their focus to incorporate key reef community components, such as grazers, to improve site conditions and the long-term survivorship of restored corals. We investigated the use of hatchery-propagated Diadema antillarum as well as two other locally abundant urchin species, Lytechinus variegatus and Echinometra viridis, for coral-urchin tandem reef restoration in Florida, USA. Urchins were deployed onto reef plots at various stages of Acropora cervicornis restoration and provided artificial cement refuges to evaluate retention and herbivory rates. Retention of urchins was low and variable among species. After 42 days, retention was 22% for E. viridis, 7% for D. antillarum, and 0% for L. variegatus. Retention was influenced by plot complexity (restoration state) and was significantly higher in high-complexity plots for D. antillarum and E. viridis. Within plots, refuge types did not have a significant influence on urchin retention. A reduction in macroalgal cover was only observed on plots with relocated E. viridis when densities were maintained > 0.4 urchins m-2. A second deployment of D. antillarum, with urchins caged for a month prior to release, resulted in significantly higher urchin retention. Within cages, grazing and the consumption of coral tissue were influenced by urchin density. At low urchin densities (4 urchins m-2) macroalgae cover remained high and corals were overgrown by algae. At intermediate densities (12 urchins m-2) algae were reduced and the growth of corals was maximized. At the highest densities (40 urchins m-2), algal cover was reduced but urchins caused tissue mortality as a result of over-grazing, highlighting the importance of maintaining relocated urchins at adequate densities to maximize the benefits of tandem restoration. Thus, if retention can be improved and urchins maintained at intermediate densities, the tandem restoration of corals and sea urchins could increase the efficacy of reef restoration.

Introduction

After over two decades of coral propagation and reef restoration in Florida, USA, and the Caribbean, advances in husbandry, genotype selection, and outplanting methods have resulted in high performance of restored corals, with Acropora cervicornis survivorship commonly exceeding 80% during the first 1–2 years post-outplanting [13]. However, initial survivorship generally declines, sometimes rapidly, beyond the first two years, indicating that current reef conditions still pose challenges for long-term coral survivorship [4]. Once outplanted, corals become an integral component of the reef community and are exposed to the same stressors that influence the growth and mortality of wild corals. In cases where the sources of coral decline include large-scale drivers (e.g., disease, temperature anomalies, and storms), restoration practitioners have novel options like genotype selection, selective breeding, assisted relocation and migration, and stress hardening available to improve the viability of restored corals [5]. These approaches can maximize coral survivorship by placing species, genotypes, and phenotypes in the “right” environments [6].

Restoration practitioners also have the option of optimizing coral survivorship by improving the local conditions at the selected restoration locations [7,8]. A study by van Woesik et al. [3], showed that the survivorship of transplanted A. cervicornis was lower when in contact with macroalgae (mainly Dicyota). Not only do macroalgae compete with the growth and survivorship of adult coral colonies, but they can also inhibit coral recruitment and settlement, an essential process for the resilience and recovery of coral reef ecosystems [9]. These observations, along with a wealth of historical studies, have shown that macroalgal competition can lead directly and indirectly to coral mortality [1012]. This has prompted restoration practitioners to reevaluate and expand current reef restoration practices [13,14]. One approach being considered is the tandem restoration of corals and macrograzers (e.g., sea urchins, crabs) to improve coral survivorship and growth, while restoring coral cover and key ecological processes like herbivory [1520]. This is especially important in regions like Florida, USA, where coral cover has declined to historical low values and macroalgae often occupy > 50% of the benthos [21].

One of the key early drivers of coral declines and subsequent ecological phase-shifts on Caribbean reefs was the mass mortality of the keystone herbivore Diadema antillarum during 1983–1984, thought to be the most extensive and severe die-off recorded for a marine invertebrate [22]. This event led to a drastic reduction in D. antillarum populations by 95–100%, closely followed by a surge in macroalgal cover across the Caribbean, ranging from 100–250% [2224]. Coral-dominated reefs require high levels of herbivory (and low nutrient levels) to prevent macroalgal overgrowth and competition [25]. Once a coral reef transitions to a fleshy, macroalgal-dominated state, there is a loss in resilience and reef complexity, making it difficult to recover lost ecosystem functions [26,27]. In the Caribbean there has been a shift from low-canopy algae (such as algal turfs and biofilms) to more competitive fleshy macroalgae, which continue to correlate with a loss in coral cover [28]. Taxa like Dictyota and Lobophora, previously controlled by D. antillarum grazing, have proliferated on reefs, especially in areas where fish grazers have been removed by overfishing [2931]. Macroalgae can compete with coral colonies and coral larvae for space, inhibiting coral settlement, growth, and survivorship, likely making the initial phase shift persistent over time and leading to a state of “reef flattening” [10,11,32,33]. D. antillarum populations in Florida and throughout most of the Caribbean have not recovered after the initial mass mortality event and remain at diminished densities of 1–7% of pre-mortality prevalence [24,3437].

Active interventions to restore D. antillarum populations have thus been identified as a crucial reef restoration need, as it could take decades for urchin recovery to occur naturally [17,38]. The lack of recovery is primarily linked to persistent failures in fertilization and recruitment driven by an absence of source populations and compounded by inadequate settlement and habitat availability [3941]. This was further reinforced, as some recovering D. antillarum populations were affected by another mortality event in 2022 [42,43].

Previous efforts to restock urchins have achieved differing levels of success. These efforts included translocating wild D. antillarum [18,4447], collecting wild settlers and rearing them until restocking size [4850], and spawning captive individuals and rearing them from gametes [5153]. Present populations of D. antillarum are insufficient to support large-scale translocations. One alternative for restocking depleted populations is using hatchery-propagated individuals [47,54]. While the use of hatchery-raised D. antillarum was initially questioned [55] and spawning/settlement success was limited [56], researchers have continued to explore the potential for using reared urchins for restoration [51,52,57,58]. This study is the first to report on the efficacy and retention of hatchery-propagated D. antillarum within coral restoration plots and employs the largest hatchery-propagated individuals stocked to date. Using hatchery-propagated D. antillarum allows for restocking without affecting wild populations. Ultimately, if D. antillarum restoration proves inefficient in the long term and at meaningful scales, utilizing other echinoid species that have similar ecological functions may become an important restoration option [48,59].

In Florida, Lytechinus variegatus and Echinometra viridis are two echinoid species that have similar ecological functions as D. antillarum [59]. Both species have stable wild populations, thus allowing for direct translocation. Translocation of these species may even be more effective as they are typically less mobile than D. antillarum [60,61], potentially leading to higher site retention. L. variegatus is effective at controlling macroalgal overgrowth and enhancing coral survivorship and growth in lab conditions, but their grazing ability in natural reef environments has not yet been evaluated [62]. In Panama, E. viridis have filled the functional role of D. antillarum and were found to be effective at limiting macroalgal growth [63]. While clearly a positive finding, these herbivores were found in high quantities in the Bocas del Toro reefs that were dominated by the coral Agaricia which provides suitable habitat for small-bodied urchins and are different from low-cover reefs in Florida and elsewhere in the Caribbean. Although neither species, L. variegatus or E. viridis, have naturally filled the functional role left by D. antillarum within Florida reefs, it is worth investigating if, with assisted translocation, they can fulfill this empty niche at relevant restoration scales.

Two of the biggest hurdles that echinoid restocking has faced are low survival and site retention. D. antillarum are known to seek shelter during the day in highly complex areas to avoid predation and leave their refuge to graze at night [64]. Initial D. antillarum restoration efforts recorded complete disappearance of translocated urchins within 24 hours – 1 week, or high rates of predation or emigration over the span of a few months, largely attributed to low reef complexity [46,47,65]. Methods to enhance shelter availability have included the use of artificial structures [18,50], translocating urchins within coral restoration sites [44,66], and the use of cages to prevent emigration and urchin predation by fish [48,49,66]. However, these methods have had limited and variable success, creating the need to explore additional methods to maximize urchin retention on restored plots. Here, restoration plots representing early- and late-stage Acropora cervicornis restoration states, along with habitat-enhancing structures with varying structural complexity were used to evaluate the role of physical structure on echinoid retention and grazing patterns, to inform the most efficient timing for urchin deployment within restored plots. Moreover, the use of temporary cages was evaluated as a tool to enhance long-term urchin retention. This is the first study to evaluate the retention rates of three Caribbean echinoid species (Diadema antillarum, Lytechinus variegatus, and Echinometra viridis) deployed into restoration plots and their potential benefits on macroalgal biomass and coral growth and survivorship. Additionally, the role of restoration state (initial and advanced) and refuge types (live coral, dead coral, cement structures) were explored to provide needed guidance for restoration practitioners on best practices to maximize the success of coral-urchin tandem restoration.

Materials and methods

Site description

All experiments were conducted at a single reef site in Miami Beach, Florida, USA (25.833° N, 80.107° W, depth = 7 m). This site is characterized by its low topographical complexity (< 20 cm average height/rugosity across the site) that provides a uniform habitat where the effects of introduced structure on urchin retention would be maximized. The site has persistent, high macroalgal cover (~ 60%) and low coral cover (< 5%), so that the impacts of urchin grazing can be easily detected if present. Common macroalgae at the site include Dictyota, Halimeda, Caulerpa, and mixed-species algal turfs. This site has been used for Acropora restoration in the past with high success (unp. results). The availability of urchins for this experiment was limited so the number of deployments that could be completed was prioritized over site replication. Adding other sites would make the results more widely applicable but would have reduced the power of the experiments conducted.

The Miami Beach site was used to test retention rates and herbivory effects of three urchin species, D. antillarum, L. variegatus, and E. viridis. During preliminary site surveys, only one large D. antillarum and no individuals of the other two urchin species were encountered. In this study, only one urchin species was deployed at a time, and all urchins remaining at the end of each experiment were relocated to another reef to avoid multi-species interactions. The plots and algal community were allowed to recover for at least 30 days between deployments. The sequential deployment of the different urchin species introduced a seasonality effect on macroalgal and grazing dynamics. However, comparisons of algal communities and grazing patterns were only analyzed and discussed here within deployments and were not compared among deployments, removing the influence of seasonality on these metrics. However, this does not discount the possibility that there may be seasonality influences on urchin retention patterns not accounted for in this study. This potential factor could be addressed when additional urchins and restored corals become available so that all experiments can be completed at the same time. The number of urchins deployed per plot and treatment type varied by species based on urchin availability. All research was conducted under and complied with a Florida Fish and Wildlife Conservation Commission Special Activity License (SAL-22-1794-SCRP).

Urchin retention and grazing

Species comparisons.

To test how natural and artificial structures with differing structural complexity influence echinoid retention and grazing, three site plot types (low complexity, high complexity, and control), with two replicates each, were installed at the Miami Beach reef. Each experimental site plot consisted of a 3 m x 5 m grid, with structures (corals and cement structures) deployed at 1-m spacing, for a total of 15 structures per plot. This spacing was chosen since D. antillarum that exhibit homing behaviors often stay within a foraging range of approximately 1 m2 [64]. Site plots were separated by at least 10 m to limit echinoid movement among neighboring plots. The habitat-enhancing structures included live A. cervicornis, dead A. cervicornis skeletons, and concrete domes. The three treatments were placed throughout each site plot in a Latin square design to randomize placement, with each structure treatment having five replicates within each site plot.

The low-complexity plots received five replicates of each structure treatment (i.e., five colonies of living A. cervicornis, five dead A. cervicornis skeletons, five single concrete domes; Fig 1). Live and dead A. cervicornis in low-complexity plots had an average linear length and width of ~15 and 10 cm respectively. The concrete domes, designed and manufactured by Reef Cells, measured 14 x 16 cm, with three 7 x 8 cm openings evenly placed around the circumference of the structure. The high-complexity plots also received five replicates of each structure treatment (Fig 1). The live A. cervicornis treatments consisted of clusters of 5–10 larger coral colonies, deployed in contact with each other to create a footprint of approximately 0.5 m2. The dead Acropora treatment was composed of clusters of dead A. cervicornis skeletons with a similar footprint (0.5 m2). The artificial structures in the high-complexity plots were deployed as three dome units placed together in a triangle configuration (Fig 1). The low-complexity plots mimic a state of early or initial restoration, with approximately 1.5% coral cover, whereas the high-complexity plots are representative of a more developed restoration state, 2–3 years after initial outplanting, with ~ 25% coral cover (Fig 1). Control site plots were established to compare natural changes in macroalgal biomass and coral condition to changes caused by echinoid deployment and herbivory. These control plots lacked added structures or A. cervicornis. To assess whether the presence and grazing of urchins influenced the survivorship and growth of small corals, 15 fragments of Porites porites (1–3 cm in diameter) were added using cement within each plot (Fig 1).

thumbnail
Fig 1. Experimental plots at the Miami Beach reef site.

Plots were 3 x 5 meters. In the two experimental plots (low complexity (n = 2) and high complexity (n = 2)) there were three different structure treatment types: live Acropora cervicornis, dead A. cervicornis skeleton, and an artificial concrete dome (n = 5). A Porites porites coral fragment (1 cm2) was placed adjacent to each habitat structure. The unrestored control plots (n = 2) did not receive any added structure but still received small coral fragments at the 1-meter mark.

https://doi.org/10.1371/journal.pone.0325468.g001

The D. antillarum in this experiment were reared from gametes at The Florida Aquarium [51,52] using broodstock collected from the Florida Keys. The D. antillarum had an average test diameter (TD) of 24.2 ± 3.1 mm and were deployed into the site plots in September 2022. Seventy five D. antillarum were placed in the high-complexity plots and 50 were placed in the low-complexity plots. The L. variegatus had an average TD of 62.1 ± 7.1 mm, were collected from seagrass beds within Biscayne Bay, and deployed to Miami Beach in November 2022. Fifty five L. variegatus were deployed into the high-complexity plots and 35 urchins were placed into the low-complexity plots. The E. viridis were collected from reef sites within 100 km and were deployed in March 2023. E. viridis were deployed with an average TD of 27.9 ± 4.2 mm. Thirty urchins were distributed into the high-complexity plots and 30 in low-complexity plots. Limited urchin availability resulted in different numbers of urchins being deployed across treatments to maximize data collection; these differences we accounted for statistically.

At the time of deployment, divers placed urchins adjacent to the structures by hand. The control plots did not receive any urchins during these experiments and served to monitor benthic macroalgal composition and coral growth in the absence of urchins.

Caging and site acclimation.

Previous studies suggest that keeping urchins within cages after deployment to a new site can enhance retention after the barriers are removed caused by induced homing behavior [48,49]. To test whether this approach led to higher retention at the Miami Beach site and evaluate the effects of urchin density on algal cover, a second D. antillarum deployment that included caged and uncaged urchins was completed. Cages (50 cm x 50 cm x 11 cm; 1/2 inch openings; Fig 2A) were built using galvanized metal mesh. The bottom of the cage was open to allow urchins to graze the benthos. Cages were nailed in place at the time of each urchin deployment. Five cages received one urchin, five cages received three urchins, and four cages received 10 urchins, corresponding to densities of 4 urchins m-2, 12 urchins m-2, and 40 urchins m-2, respectively. Within each cage, five Diploria labyrinthiformis corals (average size = 3.4 cm2) were cemented to the reef to document impacts of urchin grazing on coral survivorship and growth (Fig 2B). Uncaged control plots (n = 2), with 10 D. labyrinthiformis per plot, were used to assess and evaluate algal cover and coral growth in the absence of urchin grazing.

thumbnail
Fig 2. Example photographs of the urchin cages.

(A) Galvanized mesh cages (0.25 m2) nailed in place at the time of urchin deployment (B) Diploria labyrinthiformis coral fragments and Diadema antillarum at the time of deployment before the cage was nailed in place.

https://doi.org/10.1371/journal.pone.0325468.g002

In August 2023, 120 cultured D. antillarum with an average TD of 51.0 ± 8.9 mm were released at the Miami Beach reef. Half of the urchins (n = 60) were placed into the high, low, and control plots previously described, and the other half (n = 60) were placed into the 14 cages, as described above. The urchins that were deployed into the restoration plots were monitored until they all emigrated, after which the caged urchins were released and transferred into the same plots. The retention of urchins that were previously caged was compared to the retention of urchins that were directly deployed into the restoration plots.

Monitoring

Visual surveys of the restored Acropora cervicornis at the site showed that no coral mortality was observed during this experiment. Urchins were surveyed 24 hours after release, and subsequently at 7, 14, and 42 days (L. variegatus were not surveyed at 24 hours, and E. viridis were not monitored at day 7 due to bad weather). The number of urchins and structure type in which they were found were recorded by divers within each plot. In addition to the area within each site plot (15 m2), an expanded area (10 m in radius) around each plot was surveyed to identify urchins that may have emigrated from the plot. The habitat outside of the site plots was mostly flat hardbottom with algal mats and sparse cover of soft corals, similar to the control plots. To quantify algal cover, 15 benthic photos were tracked per plot by placing a 0.25 m2 quadrat around each structure or at the center stake in control plots. The images were collected prior to urchin deployment and again during each subsequent survey. Benthic images were analyzed using the software Coral Point Count with Excel extensions (CPCe), with 25 random points overlaid within each image to calculate macroalgal percent cover [67]. The diameter (cm) of the small Porites porites were assessed using scaled photographs at deployment and after 42 days using ImageJ [68].

In the caging experiment, images of the benthos inside the cages were collected prior to deployment and 28-days after urchin deployment. The diameter (cm) of the small D. labyrinthiformis deployed in these experiments was assessed using scaled photographs taken at deployment and after 28 days using ImageJ [68].

Statistical analyses

The experimental units in this study are the individual treatment types (A. cervicornis, dead A. cervicornis skeletons, concrete domes; n = 5 per treatment) placed within high- and low-complexity plots (n = 2 plots per complexity type) and data were combined within plot type. The low plot replication limits the statistical power of our analyses but is a direct consequence of low urchin availability. To account for variation in initial urchin numbers, retention was modeled using proportional data (i.e., the number of urchins retained relative to the initial number deployed) [69,70].

A generalized linear model (GLM) with a binomial distribution was used to compare the proportion of urchins retained among structure types and complexity plots over time. Survey timepoint, site complexity plot, and structure type were used as fixed categorical predictors. Models were tested with random effects for site plot and time to account for repeated measurements, but low variance and drop in deviance tests, indicated that they did not add to the models. A separate GLM was built for each urchin species. Models were fit using the ‘glm’ function within the lme4 package. When complete or quasi-complete separation was detected in the models, GLMs were fit using the ‘brglm’ package.

A binomial generalized mixed effects linear model (GLMM) was built for each urchin species to compare changes in the percent macroalgal cover among treatments over time, with structure type and survey timepoint as fixed categorical predictors, initial macroalgal cover as a covariate, and site plot and survey timepoint as a random effect. Percent cover data were grouped by treatment plot (with and without urchins) for the 14 and 42-day time points. Models were fit using the ‘glmer’ function within the lme4 package. For each model, significance was evaluated via likelihood ratio testing and additional post hoc analysis was conducted to compare treatments and individual time points using the ‘emmeans’ function.

The effect of urchin grazing on coral growth (final coral diameter – initial coral diameter, cm) was evaluated using a linear mixed model with cage as a random effect. A linear model was conducted to compare urchin density influence on the relative reduction of macroalgae within cages. When normality assumptions were not met, a non-parametric Kruskal-Wallis test was performed, followed by a Dunn’s test with Bonferroni correction for multiple comparisons. All statistical tests were performed using R software version 4.3.0. and significance was established at p< 0.05.

Results

Urchin retention and grazing

Species comparisons.

Retention of D. antillarum was higher in the high-complexity plots compared to the low-complexity plots throughout the experiment (Fig 3, GLM, p < 0.05). One day after deployment, D. antillarum had 50% retention in the high-complexity plots compared to 24% retention in the low-complexity plots, for an overall retention of 40%. During these surveys an additional 18% of the urchins were found outside of the plots. By day 42, there was only 7% retention, with all remaining urchins found exclusively within the high-complexity plots. There was no difference in microhabitat selection/retention among the different structure types (live coral, coral skeleton, concrete domes; GLM, p > 0.05). Retention declined over time and retention at day 1 was higher compared to all other monitoring time points (day 7, day 14, and day 42, post hoc analysis p< 0.05), while all the other survey time points were not different from one another. There was no difference in algal abundance between control plots and plots that received D. antillarum at any timepoint.

thumbnail
Fig 3. Retention of urchins.

Percentage of urchins (±SE) that remained within the site plots over time for all three species. Each color represents a different species (Diadema antillarum, Echinometra viridis, Lytechinus variegatus). Solid and dashed bars represent differing plot complexities (high and low).

https://doi.org/10.1371/journal.pone.0325468.g003

The E. viridis deployment showed similar results, with higher retention in the high-complexity plots compared to the low-complexity plots across time (GLM, p< 0.05; Fig 3). After day 1, E. viridis had 80% retention in the high-complexity plots and 73% retention in the low-complexity plots for an overall site retention of 77%, and an additional 6% were found outside of the plots. By day 42, there was 33% retention in the high-complexity and 10% retention in the low-complexity plots (Fig 3). This species did not show an affinity for structure type within plots (GLM, p > 0.05). Benthic communities at control plots and plots that received urchins were similar at time of deployment. However, by day 14 (0.4 urchins m-2), algal cover was reduced within urchin plots compared to control plots (p< 0.05). By day 42, when urchin retention had fallen to 0.2 urchins m-2, algal cover was not significantly different between urchin and control plots (p= 0.12). Moreover, there was no significant difference between the growth rate of corals deployed within the control and urchin deployment plots (Kruskal-Wallis, χ2 = 2.74, df = 1, p= 0.098; Fig 4).

thumbnail
Fig 4. Echniometra viridis grazing.

(A) Average growth of Porites porites corals (change in diameter, cm) over the 42-day experiment within control (n = 27 corals) and urchin plots (n = 49 corals) (Kruskal-Wallis, χ2 = 2.74, df = 1, p= 0.098). (B) Percent cover of macroalgae in the control plots (n = 2) and plots that received urchins (n = 4) over three monitoring time points for Echinometra viridis. Asterisk indicates significant differences between plots with and without urchins (GLMM, p <0.05).

https://doi.org/10.1371/journal.pone.0325468.g004

In contrast, L. variegatus showed no preference for plot complexity or refuge type (GLM, p> 0.05; Fig 3). At the day 7 monitoring timepoint, L. variegatus had 18% retention in the high-complexity plots and 49% retention in the low-complexity plots. By day 14, only 5% of urchins remained in the high-complexity plots and at day 42, no urchins were observed. Retention at day 7 was different from all other monitoring time points (day 14 and day 42, p< 0.05). Algal cover between control plots and those that received L. variegatus did not differ at any survey time point.

Caging and site acclimation.

Retention of D. antillarum was higher over the 28-day period for individuals that were caged for one month prior to release, compared to urchins that were released without caging (GLM, p < 0.05). One day after deployment, there was 68% retention of urchins that were caged prior to deployment compared to 55% retention of uncaged urchins. By day 28, there was 17% retention of caged urchins and 0% retention of urchins released without a caging acclimation period.

Changes in algal cover were correlated with the density of caged urchins (Fig 5A). On average, the bottom was covered with 50–75% macroalgae at the beginning of the experiment. Seasonality influenced algal abundance at the site and there were increases in algal cover in both the control and 4 urchins m-2 treatments over the 28-day caging period, while there were decreases in the 12 urchins m-2 and 40 urchins m-2 treatments (Fig 5A). The control plots were different from the 12- and 40 urchins m-2 treatments, the 12- and 40 urchins m-2 treatments were different from each other, and the 4 urchins m-2 treatment was not significantly different from the control or 12 urchins m-2 density treatments (F3,31 = 24.99, p < 0.001; Fig 5A). Urchin density within cages also influenced the growth of small D. labyrinthiformis outplanted within cages. The corals within intermediate urchin densities (12 urchins m-2) grew, on average, more than the other three treatments; however no significant differences were detected (LMM, p > 0.05; Fig 5B). The corals in the control and the 4 urchins m-2 treatments were observed being overgrown by macroalgae such as Caulerpa and Dictyota (Fig 6). Corals in the 12 urchins m-2 treatment experienced neither contact algal competition nor signs of urchin grazing. In contrast, corals in the 40 urchins m-2 treatment averaged a 3.5% reduction in tissue cover caused by urchin overgrazing (Fig 6).

thumbnail
Fig 5. Diadema antillarum grazing based on density.

(A) Relative reduction (%) of macroalgae cover in each urchin density treatment over the 28-day experiment. Each point indicates the relative reduction of algae in each cage, boxplots show the interquartile range for each urchin density, and letters denote groups with significant differences (F3,31 = 24.99, p < 0.001). (B) Growth (change in diameter, cm) of Diploria labyrinthiformis exposed to differing levels of grazing based on Diadema antillarum densities within cages after 28 days. Each point indicates a coral’s growth, boxplots show the interquartile range for each urchin density (LMM, p > 0.05).

https://doi.org/10.1371/journal.pone.0325468.g005

thumbnail
Fig 6. Impacts of urchin grazing on macroalgae and corals.

Images of macroalgal cover exposed to different densities of caged Diadema antillarum (left) and Diploria labyrinthiformis fragments within the cages at deployment and 28 days post-caging (right).

https://doi.org/10.1371/journal.pone.0325468.g006

Discussion

Urchin retention within restoration plots

In an effort to increase the survivorship of outplanted corals and improve the efficiency of coral reef restoration, researchers are testing methods to enhance the conditions of the restoration plots and reef sites. One of the approaches being considered to enhance local conditions is to actively reduce macroalgal cover, which minimizes algal competition with coral recruits and outplants, by relocating sea urchins [17,44,59]. In this study, we evaluated the practicality and impacts of tandem coral-urchin restoration by deploying urchins of three species (wild Echinometra viridis and Lytechinus variegatus, and hatchery-reared Diadema antillarum) onto reef restoration plots in Miami, Florida, US. Our results highlighted low urchin retention and the potential of overgrazing when densities are too high as a major bottleneck in the use of urchins for algal control within restoration plots.

Urchins of the three species deployed (D. antillarum, E. viridis, and L. variegatus) left the plots relatively quick after deployment and did not display long-term retention within our site. Our efforts to enhance retention by adding natural (restored A. cervicornis colonies) and artificial (cement urchin “homes”) structure proved variable among survey times and species. D. antillarum had high retention within plots with large, complex A. cervicornis colony clusters (late restoration stage) only within the first 24 hours after deployment, while E. viridis had higher retention in complex plots up to six weeks after deployment. Moreover, the only individuals of D. antillarum found after day 1 were in high-complexity plots. This is in agreement with prior studies that showed that D. antillarum [64,65,71,72] and E. viridis prefer seeking shelter in complex and cryptic habitats [60,73,74].

As a consequence of “reef flattening” the quality and quantity of natural habitat and refuge has been reduced, thus the use of artificial structures has been suggested to increase urchin retention [18,33,50,65,75]. Within our restoration plots complexity influenced urchin retention, however, refuge type (live coral, dead coral, cement domes) did not. If high complexity can be achieved through coral outplanting, especially with large and complex branching Acropora colonies, there does not seem to be a need to enhance habitat complexity through the use of artificial structures. Outplanting of large, complex corals is not always an option so adding artificial structure could increase urchin retention within a site while coral cover and the refuge provided by outplants remain low. Ultimately, results of the present study suggest that what creates the shelter is not as important as the quality of the shelter itself. This outcome expands the portfolio of options for augmenting habitat complexity when stocking urchins into low-rugosity areas.

There are no previous studies on the restocking or translocation of E. viridis or L. variegatus in the Caribbean, so retention rates from this study cannot be compared to published rates. Surprisingly E. viridis had the highest retention of all three species and retention rates for E. viridis were higher than those previously reported for D. antillarum. This is likely a result of E. viridis having a small home and grazing range [60,76,77], making E. viridis a promising taxon for tandem restoration in the Caribbean. While L. variegatus has shown effective algal reduction in ex-situ systems, it’s grazing effect did not seem to translate to the reef environment. Another urchin taxon being considered for tandem reef restoration is Tripneustes ventricosus, but further research is needed on hatchery propagation methods and its application in tandem coral-urchin restoration [48,59].

Although low retention could also be attributed to predation, no visible signs (e.g., urchin spines or tests) were observed during D. antillarum or E. viridis deployments even when known predators and aggressors of the three urchin species were observed at the site (e.g., triggerfish, porcupine fish, snappers, grunts, damsel fish, and lobster) [7880]. Direct predation was not observed, but the presence of these predator and aggressor species could influence the behavior and emigration rates of the urchins. Interestingly, signs of predation (spines and broken tests) were only observed during the L. variegatus deployment. This is not surprising as it is likely that L. variegatus, collected from seagrass beds, may not be suited for a reef environment and/or lack well-developed predator avoidance behavior [61,81,82]. Furthermore, the L. variegatus used in the study were larger than the other two species, which could have influenced their retention or predation susceptibility. The observation of spines and tests from the L. variegatus deployment suggest signs of predation for the other two species were likely not missed, supporting the hypothesis of urchin emigration.

While there have been previous D. antillarum restocking studies with higher retention values, these were achieved via caging (26 and 27% after 2 months) or placement in patch reefs surrounded by sand (26% and 20% after 17 months) to prevent emigration [18,46,48]. In a recent wild-relocation study completed at a restoration site in Miami, high retention of D. antillarum were observed (> 56% at 84 days and > 22% at 267 days after deployment) [44]. However, this study used wild-collected, adult urchins (49–105 mm test diameter, average TD = 72.65 mm) deployed in highly rugose habitat. Conversely, the present study utilized smaller, hatchery-reared D. antillarum that potentially exhibited reduced retention rates due to underdeveloped sheltering or predator avoidance behaviors, despite being reared with diurnal light cycles and tank structures to promote natural behavior [55,57]. A study conducted in Saba reported 25–30% retention of lab-reared and wild urchins after 10 days, which aligns with the results observed in this study [50]. The inherently mobile behavior of D. antillarum likely contributed to low retention, as individuals emigrated from areas with limited shelter in search of better refuge [64,65,83], often relocating more than 10 m away from the initial deployment plots.

Temporarily caging D. antillarum improved retention by allowing for acclimation without predation pressure, consistent with observations from previous studies in Puerto Rico (Williams, personal observations). However, caging is both time and resource-consuming, and may limit the number of urchins that can be deployed. Previous attempts at using large corrals to hold urchins in place were still met with emigration over time and loss/emigration of the urchins once barriers were removed [49]. However, while the urchins were held in place, they were able to significantly reduce algal abundance and increase coral survivorship and growth [48,66]. This also opens opportunities for artificially made reefs, where caging or sheltering structures could be integrated into the design to potentially increase long-term retention to control macroalgal cover. Caging urchins may only be practical in sites where urchins are still lost to emigration and predation even after an advanced restoration state has been achieved.

Emigration of urchins away from the desired restoration plots can be problematic for restoration efforts and may require the deployment of large numbers of urchins to achieve the desired outcome. However, fewer urchins may be needed to achieve a target density if the restoration site is highly complex, is not located within continuous reef habitat, and if urchins can be collected or grown to larger sizes. From a broader reef-scale perspective, urchins that emigrate continue to perform valuable ecological services, such as macroalgae grazing, despite relocation from intended target sites.

Urchin grazing and coral impacts

The key goal of coral-urchin tandem restoration is to limit algal competition for outplanted corals at a time when they may be most vulnerable (e.g., small size and relocation stress) leading to an increase long-term coral survivorship. A similar approach is being evaluated for the tandem restoration of corals and the Caribbean king crab, Maguimithrax spinosissimius, which can significantly reduce algal cover and increase coral settlement at densities of 1 crab m-2 [20,84]. While field studies have shown that both wild and restocked D. antillarum can successfully decrease macroalgae abundances and enhance coral recruitment, the urchins need to persist at the site long enough and in sufficient densities to have a substantial impact [44,48,63,8590].

A reduction in macroalgal cover was only observed in the present study during the E. viridis deployment, the species with the highest retention rates. The lack of grazing impacts for the other two species is likely related to their rapidly declining densities and low retention over time. This contrasts prior research where the benefits of herbivory by D. antillarum were seen at 0.15 urchins m-2 but no longer detectable at 0.04 urchins m-2 [44]. Nevertheless, a significant difference in macroalgal cover was observed at E. viridis densities of 0.4 individuals m-2 compared to plots that did not receive urchins. However, by the next survey, when E. viridis densities had fallen to 0.2 individuals m-2, differences in algal cover between plots were no longer observed. This suggests that the threshold for positive herbivory on Miami Beach reef falls between 0.2 and 0.4 urchins m-2. This is in contrast with studies from Panama where E. viridis, now filling the niche left by the die-off of D. antillarum, require densities of ≥ 15 urchins m-2 to have significant herbivory impacts [63,89]. The difference between these studies are likely attributable to variations in dominant algal communities and the behavior of E. viridis, which has a small grazing range and limited movement (< 19 cm a day) [60]. In our study, grazing impacts were measured in the area surrounding the refuge provided by restored corals and cement domes, thus showing algal reductions even at low urchin densities. While lower restocking densities may be needed for this species when refuge is provided, the benefits provided by these grazers may be limited to the vicinity of the restored corals. Another concern for the deployment of high densities of E. viridis in tandem restoration is the high levels of bioerosion exhibited by this excavator urchin [91]. Thus, a combination of grazers with different grazing ranges and behaviors will be needed to maximize herbivory benefits at scales beyond restoration plots.

The deployment of D. antillarum within cages during an acclimation period allowed us to evaluate the impacts of urchin density on algal cover and coral condition. As expected, impacts of grazing on algal cover were directly related to urchin density. While the largest reduction in algal cover may be desired to limit competition with corals, urchins have been shown to consume coral tissue and newly settled recruits when algal biomass is denuded [9194]. The growth of small D. labyrinthiformis corals was highest within the cages with 12 urchins m-2 and was reduced at lower and higher urchin densities suggesting the presence of a grazing “sweet spot” that balances algal reduction and coral tissue removal. It is likely that at higher replications (and higher statistical power) significant differences between treatments may have been detected. This needs further exploration with additional experiments if coral-urchin tandem restoration is to be expanded. The need to curb algal biomass may decline as corals grow and thus reduce the density of urchins needed to control algae to limit bioerosion of the reef and loss of coral tissue [92,95,96]. The ideal density of D. antillarum still remains a topic of discussion. While some studies propose target densities of 1–3 urchins m-2 [17,18], others researchers found that a density of 1 urchin m-2 is insufficient to control algae on contemporary Caribbean reefs [88], consistent with our findings where 1 urchin m-2 had minimal impact on the algal community. Further research is needed to fully understand urchin retention and grazing dynamics on contemporary Caribbean coral reefs. Such knowledge will better inform restoration practitioners of the optimal urchin density within restoration plots and the frequency of restocking required to maintain those densities.

The benefits of tandem restoration will not be realized until urchin retention rates can be improved (recurrent deployments may be needed until urchins reach a sufficient or stable density). It has been suggested that there is a density dependence in D. antillarum recruitment, where the presence of adult urchins attracts early recruits and juveniles [97,98], while other studies show there is no density dependence [99] and have instead suggested that juvenile D. antillarum recruit to areas of grazed bare substrate [39]. Both in this study and in Puerto Rico, wild juvenile D. antillarum were spotted within the restocked adult plots, supporting the prediction that the presence of adults can enhance juvenile recruitment [48]. Once at a stable state, urchins can provide the necessary grazing needed to restore reef processes, such as an increase in coral cover, recruitment, and decrease in macroalgae [90,100,101]. Since retention rates of D. antillarum continue to be a bottleneck, it may be beneficial to aim for higher densities initially so that by the time the urchin population reaches a static density they will have the desired grazing effect.

Conclusions

Based on the findings of this study, tandem coral-urchin restoration recommendations are as follows: 1) urchins need to be added to restored plots well before high coral mortality rates are observed (usually after 2 years for A. cervicornis), 2) restock urchins within areas of high reef complexity, either through the use of added shelter (live coral or artificial structures) or selecting sites with existing high rugosity, 3) restock urchins prior to coral spawning season to reduce macroalgal cover for coral larvae recruitment, 4) choose a restoration site that does not have a high abundance of predators (e.g., Balistidae, Labridae, and Diodontidae) to limit predation 5) use a combination of urchin species (e.g., D. antillarum and E. viridis) to maximize retention and herbivory, and 6) consider recurrent deployments of urchins or caging to maintain urchin densities initially, until a stable restoration state is met.

Supporting information

Acknowledgments

We are grateful for the assistance provided by members of University of Miami’s Coral Restoration Lab and thank the Florida Department of Environmental Protection, the National Fish and Wildlife Foundation, and the Defense Advanced Research Projects Agency under the Reefense Program for their funding support. We would also like to thank the National Oceanic and Atmospheric Administration for supporting Diadema antillarum culture. Diadema used in experiments were cultured at The Florida Aquarium’s Center for Conservation by K. O’Neil, M. Dakin, A. Petrosino, A. Pilnick, and J. Smith. The views, opinions, and/or findings expressed are those of the authors and should not be interpreted as representing the official views or policies of the U.S. Government, Department of Defense, or the National Fish and Wildlife Foundation.

References

  1. 1. Lirman D, Schopmeyer S. Ecological solutions to reef degradation: optimizing coral reef restoration in the Caribbean and Western Atlantic. PeerJ. 2016;4:e2597. pmid:27781176
  2. 2. Schopmeyer SA, Lirman D, Bartels E, Gilliam DS, Goergen EA, Griffin SP, et al. Regional restoration benchmarks for Acropora cervicornis. Coral Reefs. 2017;36(4):1047–57.
  3. 3. van Woesik R, Ripple K, Miller SL. Macroalgae reduces survival of nursery‐rearedAcroporacorals in the Florida reef tract. Restoration Ecology. 2017;26(3):563–9.
  4. 4. Ware M, Garfield EN, Nedimyer K, Levy J, Kaufman L, Precht W, et al. Survivorship and growth in staghorn coral (Acropora cervicornis) outplanting projects in the Florida Keys National Marine Sanctuary. PLoS One. 2020;15(5):e0231817. pmid:32374734
  5. 5. National Academies of Sciences E and M. A decision framework for interventions to increase the persistence and resilience of coral reefs. A Decision Framework for Interventions to Increase the Persistence and Resilience of Coral Reefs. National Academies Press; 2019. https://doi.org/10.17226/25424
  6. 6. Drury C, Manzello D, Lirman D. Genotype and local environment dynamically influence growth, disturbance response and survivorship in the threatened coral, Acropora cervicornis. PLoS One. 2017;12(3):e0174000. pmid:28319134
  7. 7. Lustic C, Maxwell K, Bartels E, Reckenbeil B, Utset E, Schopmeyer S, et al. The impacts of competitive interactions on coral colonies after transplantation: a multispecies experiment from the Florida Keys, US. Bull Mar Sci. 2020;96(4):805–18.
  8. 8. Ceccarelli DM, Loffler Z, Bourne DG, Al Moajil‐Cole GS, Boström‐Einarsson L, Evans‐Illidge E, et al. Rehabilitation of coral reefs through removal of macroalgae: state of knowledge and considerations for management and implementation. Restoration Ecology. 2018;26(5):827–38.
  9. 9. Kuffner I, Walters L, Becerro M, Paul V, Ritson-Williams R, Beach K. Inhibition of coral recruitment by macroalgae and cyanobacteria. Mar Ecol Prog Ser. 2006;323:107–17.
  10. 10. Lirman D. Competition between macroalgae and corals: effects of herbivore exclusion and increased algal biomass on coral survivorship and growth. Coral Reefs. 2001;19(4):392–9.
  11. 11. Box S, Mumby P. Effects of macroalgal competition on growth and survival of juvenile Caribbean corals. Mar Ecol Prog Ser. 2007;342:139–49.
  12. 12. Olinger L, Chaves-Fonnegra A, Enochs I, Brandt M. Three competitors in three dimensions: photogrammetry reveals rapid overgrowth of coral during multispecies competition with sponges and algae. Mar Ecol Prog Ser. 2021;657:109–21.
  13. 13. McLeod IM, Hein MY, Babcock R, Bay L, Bourne DG, Cook N, et al. Coral restoration and adaptation in Australia: The first five years. PLoS One. 2022;17(11):e0273325. pmid:36449458
  14. 14. Ferse SCA, Hein MY, Rölfer L. A survey of current trends and suggested future directions in coral transplantation for reef restoration. PLoS One. 2021;16(5):e0249966. pmid:33939716
  15. 15. Rinkevich B. The Active Reef Restoration Toolbox is a Vehicle for Coral Resilience and Adaptation in a Changing World. J Mar Sci Eng. 2019;7(7):201.
  16. 16. Ladd MC, Burkepile DE, Shantz AA. Near‐term impacts of coral restoration on target species, coral reef community structure, and ecological processes. Resto Ecol. 2019;27(5):1166–76.
  17. 17. National Oceanic and Atmospheric Administration. Restoring Seven Iconic Reefs: A Mission to Recover the Coral Reefs of the Florida Keys. Washington, DC; 2020.
  18. 18. Delgado GA, Sharp WC. Does artificial shelter have a place in Diadema antillarum restoration in the Florida Keys? Tests of habitat manipulation and sheltering behavior. Glob Ecol Conserv. 2021;26:e01502.
  19. 19. Ladd MC, Shantz AA. Trophic interactions in coral reef restoration: A review. Food Webs. 2020;24:e00149.
  20. 20. Spadaro AJ, Butler MJ 4th. Herbivorous Crabs Reverse the Seaweed Dilemma on Coral Reefs. Curr Biol. 2021;31(4):853-859.e3. pmid:33306950
  21. 21. Precht WF, Aronson RB, Gardner TA, Gill JA, Hawkins JP, Hernández-Delgado EA, et al. The timing and causality of ecological shifts on Caribbean reefs. Adv Mar Biol. 2020;87(1):331–60. pmid:33293016
  22. 22. Lessios HA. Diadema antillarum 10 years after mass mortality: still rare, despite help from a competitor. Proc R Soc Lond. 1995;259:331–7. Available from: https://www.jstor.org/stable/50015
  23. 23. Phinney JT, Muller‐Karger F, Dustan P, Sobel J. Using Remote Sensing to Reassess the Mass Mortality of Diadema antillarum 1983–1984. Conservation Biol. 2001;15(4):885–91.
  24. 24. Kissling DL, Precht WF, Miller SL, Chiappone M. Historical reconstruction of population density of the echinoid Diadema antillarum on Florida Keys shallow bank-barrier reefs. Bull Mar Sci. 2014;90(2):665–79.
  25. 25. Carpenter RC. Mass mortality of a Caribbean sea urchin: Immediate effects on community metabolism and other herbivores. Proc Natl Acad Sci U S A. 1988;85(2):511–4. pmid:16593907
  26. 26. Hughes TP, Rodrigues MJ, Bellwood DR, Ceccarelli D, Hoegh-Guldberg O, McCook L, et al. Phase shifts, herbivory, and the resilience of coral reefs to climate change. Curr Biol. 2007;17(4):360–5. pmid:17291763
  27. 27. Wilson MW, Gaines SD, Stier AC, Halpern BS. Variation in herbivore grazing behavior across Caribbean reef sites. Mar Biol. 2021;168(4).
  28. 28. Tebbett SB, Connolly SR, Bellwood DR. Benthic composition changes on coral reefs at global scales. Nat Ecol Evol. 2023;7(1):71–81. pmid:36631667
  29. 29. Dell CLA, Longo GO, Burkepile DE, Manfrino C. Few Herbivore Species Consume Dominant Macroalgae on a Caribbean Coral Reef. Front Mar Sci. 2020;7.
  30. 30. Spiers LJ, Frazer TK. How herbivores reshape a macroalgal community on a Little Cayman coral reef: The role of herbivore type and density. J Exp Mar Biol Ecol. 2023;562:151884.
  31. 31. Lirman D, Biber P. Seasonal Dynamics of Macroalgal Communities of the Northern Florida Reef Tract. Botanica Marina. 2000;43(4):305–14.
  32. 32. Haas AF, Nelson CE, Rohwer F, Wegley-Kelly L, Quistad SD, Carlson CA, et al. Influence of coral and algal exudates on microbially mediated reef metabolism. PeerJ. 2013;1:e108. pmid:23882445
  33. 33. Alvarez-Filip L, Dulvy NK, Gill JA, Côté IM, Watkinson AR. Flattening of Caribbean coral reefs: region-wide declines in architectural complexity. Proc Biol Sci. 2009;276(1669):3019–25. pmid:19515663
  34. 34. Chiappone M, Swanson D, Miller S. Density, spatial distribution and size structure of sea urchins in Florida Keys coral reef and hard-bottom habitats. Mar Ecol Prog Ser. 2002;235:117–26.
  35. 35. Chiappone M, Rutten LM, Swanson DW, Miller SL. Population status of the urchin Diadema antillarum in the Florida Keys 25 years after the Caribbean mass mortality. 2008.
  36. 36. Lessios HA. The Great Diadema antillarum Die-Off: 30 Years Later. Ann Rev Mar Sci. 2016;8:267–83. pmid:26048480
  37. 37. Levitan DR, Best RM, Edmunds PJ. Sea urchin mass mortalities 40 y apart further threaten Caribbean coral reefs. Proc Natl Acad Sci U S A. 2023;120(10):e2218901120. pmid:36848553
  38. 38. Adam T, Burkepile D, Ruttenberg B, Paddack M. Herbivory and the resilience of Caribbean coral reefs: knowledge gaps and implications for management. Mar Ecol Prog Ser. 2015;520:1–20.
  39. 39. Wijers T, van Herpen B, Mattijssen D, Murk AJ, Patterson JT, Hylkema A. Implications of changing Caribbean coral reefs on Diadema antillarum larvae settlement. Mar Biol. 2024;171(2).
  40. 40. Hylkema A, Debrot AO, van de Pas EE, Osinga R, Murk AJ. Assisted Natural Recovery: A Novel Approach to Enhance Diadema antillarum Recruitment. Front Mar Sci. 2022;9.
  41. 41. Miller MW, Kramer KL, Williams SM, Johnston L, Szmant AM. Assessment of current rates of Diadema antillarum larval settlement. Coral Reefs. 2009;28(2):511–5.
  42. 42. Hewson I, Ritchie IT, Evans JS, Altera A, Behringer D, Bowman E, et al. A scuticociliate causes mass mortality of Diadema antillarum in the Caribbean Sea. Sci Adv. 2023;9(16):eadg3200. pmid:37075109
  43. 43. Hylkema A, Kitson-Walters K, Kramer PR, Patterson JT, Roth L, Sevier MLB, et al. The 2022 Diadema antillarum die-off event: Comparisons with the 1983-1984 mass mortality. Front Mar Sci. 2023;9.
  44. 44. Pilnick AR, Henry JA, Hesley D, Akins JL, Patterson JT, Lirman D. Long-term retention and density-dependent herbivory from Diadema antillarum following translocation onto a reef restoration site. Coral Reefs. 2023;42(3):629–34.
  45. 45. Chiappone M, Swanson D, Miller S. One-year response of Florida Keys patch reef communities to translocation of long-spined sea urchins (Diadema antillarum). 2006.
  46. 46. Nedimyer K, Moe MA. Techniques development for the re-establishment of the long-spined Sea urchin, Diadema antillarum, on two small patch reefs in the upper Florida Keys. 2006.
  47. 47. Leber K, Adams A, Main K, Vaughan D, Moe M, Nedimyer K. Examining the efficacy of Diadema antillarum enhancement for restoration of coral reefs in the Florida Keys “Protect Our Reefs” final report. 2007.
  48. 48. Williams SM. The reduction of harmful algae on Caribbean coral reefs through the reintroduction of a keystone herbivore, the long‐spined sea urchin Diadema antillarum. Restor Ecol. 2021;30(1).
  49. 49. Williams SM. The control of algal abundance on coral reefs through the reintroduction of Diadema antillarum Diadema restoration view project. 2018. https://doi.org/10.13140/RG.2.2.30050.17604
  50. 50. de Breuyn M, van der Last AJ, Klokman OJ, Hylkema A. Diurnal predators of restocked lab-reared and wild Diadema antillarum near artificial reefs in Saba. PeerJ. 2023;11:e16189. pmid:37846309
  51. 51. Pilnick AR, O’Neil KL, Moe M, Patterson JT. A novel system for intensive Diadema antillarum propagation as a step towards population enhancement. Sci Rep. 2021;11(1):11244. pmid:34045538
  52. 52. Pilnick AR, O’Neil KL, DiMaggio MA, Patterson JT. Development of larviculture protocols for the long-spined sea urchin (Diadema antillarum) and enhanced performance with diets containing the cryptophyte Rhodomonas lens. Aquacult Int. 2022;30(6):3017–34.
  53. 53. Wijers T, Hylkema A, Pilnick AR, Murk AJ, Patterson JT. Novel shaker bottle cultivation method for the long spined sea urchin (Diadema antillarum; Philippi, 1845) results in high larval survival and settlement rates. Aquaculture. 2023;562:738855.
  54. 54. Leber K, Lorenzen K, Main K, Moe M, Vaughan D, Capo T, et al. Developing restoration methods to aid in recovery of a key herbivore, Diadema antillarum, on Florida coral reefs. 2008.
  55. 55. Sharp WC, Delgado GA, Hart JE, Hunt JH. Comparing the behavior and morphology of wild-collected and hatchery-propagated long-spined urchins (Diadema antillarum): implications for coral reef ecosystem restoration. Bull Mar Sci. 2018;94(1):103–22.
  56. 56. Leber K, Vaughn D, Moe M. Pilot-Scale Phase (PSP) of Diadema Aquaculture Research Project. 2010. Available from: http://basecamphq.com/tour/
  57. 57. Sharp WC, Delgado GA, Pilnick AR, Patterson JT. Diurnal Sheltering Behavior of Hatchery-propagated Long-spined Urchins (Diadema Antillarum): a Re-examination Following Husbandry Refinements. Bull Mar Sci. 2023;99(2):97–108.
  58. 58. Hassan MM, Pilnick AR, Petrosino AM, Harpring J, Schwab CJ, O’Neil KL, et al. Growth and foraging behavior of hatchery propagated long-spined sea urchins, Diadema antillarum: Implications for aquaculture and restocking. Aquac Rep. 2022;26:101298.
  59. 59. Butler MJ IV, Duran A, Feehan CJ, Harborne AR, Hylkema A, Patterson JT, et al. Restoration of herbivory on Caribbean coral reefs: are fishes, urchins, or crabs the solution? Front Mar Sci. 2024;11.
  60. 60. Shulman MJ. Echinometra sea urchins on Caribbean coral reefs: Diel and lunar cycles of movement and feeding, densities, and morphology. J Exp Mar Biol Ecol. 2020;530–531:151430.
  61. 61. Parson A, Dirnberger J, Mutchler T. Patterns of Dispersion, Movement and Feeding of the Sea Urchin Lytechinus variegatus, and the Potential Implications for Grazing Impact on Live Seagrass. Gulf Caribb Res. 2021;32:8–18.
  62. 62. Serafy J, Gillette P, Miller M, Lirman D, Capo T. Incorporating herbivorous sea urchins in ramet culture of staghorn coral Acropora cervicornis. Endang Species Res. 2013;22(2):183–9.
  63. 63. Kuempel CD, Altieri AH. The emergent role of small-bodied herbivores in pre-empting phase shifts on degraded coral reefs. Sci Rep. 2017;7:39670. pmid:28054550
  64. 64. Carpenter RC. Predator and population density control of homing behavior in the Caribbean echinoid Diadema antillarum *. Mar Biol. 1984;82:101–8.
  65. 65. Dame E. Assessing the effect of artificial habitat structure on translocation of the long-spined sea urchin, Diadema antillarum, in Curacao (Netherlands Antilles). Bull Mar Sci. 2008;80:247–52.
  66. 66. Cano I, Sellares-Blasco RI, Lefcheck JS, Villalpando MF, Croquer A. Effects of herbivory by the urchin Diadema antillarum on early restoration success of the coral Acropora cervicornis in the central Caribbean. J Exp Mar Biol Ecol. 2021;539:151541.
  67. 67. Kohler KE, Gill SM. Coral Point Count with Excel extensions (CPCe): A Visual Basic program for the determination of coral and substrate coverage using random point count methodology. Comput Geosci. 2006;32(9):1259–69.
  68. 68. Schneider CA, Rasband WS, Eliceiri KW. NIH Image to ImageJ: 25 years of image analysis. Nat Methods. 2012;9(7):671–5. pmid:22930834
  69. 69. Zuur A, Ieno E, Walker N, Saveliev A, Smith G. Statistics for Biology and Health Series Editors. Springer Science & Business Media; 2009.
  70. 70. de Breuyn M, van der Last AJ, Klokman OJ, Hylkema A. Diurnal predators of restocked lab-reared and wild Diadema antillarum near artificial reefs in Saba. PeerJ. 2023;11:e16189. pmid:37846309
  71. 71. Rogers A, Lorenzen K. Does Slow and Variable Recovery of Diadema antillarum on Caribbean Fore-Reefs Reflect Density-Dependent Habitat Selection? Front Mar Sci. 2016;3.
  72. 72. Maciá S, Robinson M, Nalevanko A. Experimental dispersal of recovering Diadema antillarum increases grazing intensity and reduces macroalgal abundance on a coral reef. Mar Ecol Prog Ser. 2007;348:173–82.
  73. 73. Mcclanahan TR. Predation and the control of the sea urchin Echinometra viridis and fleshy algae in the patch reefs of Glovers Reef, Belize. Ecosystems. 1999;2:511–23.
  74. 74. Dunn R, Altieri A, Miller K, Yeager M, Hovel K. Coral identity and structural complexity drive habitat associations and demographic processes for an increasingly important Caribbean herbivore. Mar Ecol Prog Ser. 2017;577:33–47.
  75. 75. Bodmer MDV, Wheeler PM, Anand P, Cameron SE, Hintikka S, Cai W, et al. The ecological importance of habitat complexity to the Caribbean coral reef herbivore Diadema antillarum: three lines of evidence. Sci Rep. 2021;11(1):9382. pmid:33931650
  76. 76. McClanahan TR, Muthiga NA. Echinometra. Developments in Aquaculture and Fisheries Science. 2013;38:337–53. https://doi.org/10.1016/b978-0-12-396491-5.00023-x
  77. 77. Mcpherson BF. Studies on the biology on the tropical sea urchins, Echinometra lucunter and Echinometra viridis. Bull Mar Sci. 1969;19:194–213.
  78. 78. Kintzing M, Butler M IV. Effects of predation upon the long-spined sea urchin Diadema antillarum by the spotted spiny lobster Panulirus guttatus. Mar Ecol Prog Ser. 2014;495:185–91.
  79. 79. Harborne AR, Renaud PG, Tyler EHM, Mumby PJ. Reduced density of the herbivorous urchin Diadema antillarum inside a Caribbean marine reserve linked to increased predation pressure by fishes. Coral Reefs. 2009;28: 783–91.
  80. 80. Randall JE, Bishop Museum BP. Food habits of reef fishes of the West Indies. Stud Trop Oceanogr. 1967;5:655–847.
  81. 81. Vadas RL Sr, Elner RW. Responses to Predation Cues and Food in Two Species of Sympatric, Tropical Sea Urchins. Marine Ecology. 2003;24(2):101–21.
  82. 82. Parson A. Evaluating in situ grazing patterns of Lytechinus variegatus and their effects on seagrass beds of Thalassia testudinum. 2018. Available from: https://digitalcommons.kennesaw.edu/integrbiol_etd
  83. 83. Williams AH. An Analysis of Competitive Interactions in a Patch Back‐Reef Environment. Ecology. 1981;62(4):1107–20.
  84. 84. Butler MJ IV, Mojica AM. Herbivory by the Caribbean king crab on coral patch reefs. Mar Biol. 2012;159(12):2697–706.
  85. 85. Arnold S, Steneck R, Mumby P. Running the gauntlet: inhibitory effects of algal turfs on the processes of coral recruitment. Mar Ecol Prog Ser. 2010;414:91–105.
  86. 86. Stockton L, Edmunds PJ. Spatially aggressive peyssonnelid algal crusts (PAC) constrain coral recruitment to Diadema grazing halos on a shallow Caribbean reef. J Exp Mar Biol Ecol. 2021;541:151569.
  87. 87. Edmunds PJ, Carpenter RC. Recovery of Diadema antillarum reduces macroalgal cover and increases abundance of juvenile corals on a Caribbean reef. PNAS. 2001;98. Available from: www.pnas.orgcgidoi10.1073pnas.071524598
  88. 88. Manuel O-S, Williams SM, Weil E, Cruz-Motta JJ. Experimental evaluation of Diadema antillarum herbivory effects on benthic community assemblages. J Exp Mar Biol Ecol. 2021;541:151566.
  89. 89. Sangil C, Guzman HM. Assessing the herbivore role of the sea-urchin Echinometra viridis: Keys to determine the structure of communities in disturbed coral reefs. Mar Environ Res. 2016;120:202–13. pmid:27591516
  90. 90. Idjadi J, Haring R, Precht W. Recovery of the sea urchin Diadema antillarum promotes scleractinian coral growth and survivorship on shallow Jamaican reefs. Mar Ecol Prog Ser. 2010;403:91–100.
  91. 91. Brown-Saracino J, Peckol P, Allen Curran H, Robbart ML. Spatial variation in sea urchins, fish predators, and bioerosion rates on coral reefs of Belize. Coral Reefs. 2006;26(1):71–8.
  92. 92. Sammarco PW. Diadema and its relationship to coral spat mortality: grazing, competition, and biological disturbance. J Exp Mar Biol Ecol. 1980;45:245–72.
  93. 93. Bak RPM, van Eys G. Predation of the sea urchin Diadema antillarum Philippi on living coral. Oecologia. 1975;20(2):111–5. pmid:28308817
  94. 94. Spiers LJ, Harrison SJ, Deutsch JM, Garg N, Paul VJ. The role of algal chemical defenses in the feeding preferences of the long-spined sea urchin Diadema antillarum. Aquat Ecol. 2021;55(3):941–53.
  95. 95. Hughes TP, Reed DC, Boyle MJ. Herbivory on coral reefs: community structure following mass mortalities of sea urchins. J Exp Mar Bio Ecol. 1987;113:39–59.
  96. 96. Perry CT, Spencer T, Kench PS. Carbonate budgets and reef production states: a geomorphic perspective on the ecological phase-shift concept. Coral Reefs. 2008;27(4):853–66.
  97. 97. Miller RJ, Adams AJ, Ebersole JP, Ruiz E. Evidence for positive density-dependent effects in recovering Diadema antillarum populations. J Exp Mar Biol Ecol. 2007;349(2):215–22.
  98. 98. Hunte W, Younglao D. Inter-Research Science Center Recruitment and population recovery of Diadema antillarum (Echinodermata; Echinoidea). Source: Marine Ecology Progress Series. 1988.
  99. 99. Levitan DR, Edmunds PJ, Levitan KE. What makes a species common? No evidence of density-dependent recruitment or mortality of the sea urchin Diadema antillarum after the 1983-1984 mass mortality. Oecologia. 2014;175(1):117–28. pmid:24408128
  100. 100. Myhre S, Acevedo-Gutierrez A. Recovery of sea urchin Diadema antillarum population is correlated to increased coral and reduced macroalgal cover. Mar Ecol Prog Ser. 2007;329:205–10.
  101. 101. Carpenter RC, Edmunds PJ. Local and regional scale recovery of Diadema promotes recruitment of scleractinian corals. Ecol Lett. 2006;9(3):271–80. pmid:16958892