Functionally diverse reef-fish communities ameliorate coral disease
Edited by David M. Karl, University of Hawaii, Honolulu, HI, and approved August 18, 2009
Correction
December 29, 2010
Abstract
Coral reefs, the most diverse of marine ecosystems, currently experience unprecedented levels of degradation. Diseases are now recognized as a major cause of mortality in reef-forming corals and are complicit in phase shifts of reef ecosystems to algal-dominated states worldwide. Even so, factors contributing to disease occurrence, spread, and impact remain poorly understood. Ecosystem resilience has been linked to the conservation of functional diversity, whereas overfishing reduces functional diversity through cascading, top-down effects. Hence, we tested the hypothesis that reefs with trophically diverse reef fish communities have less coral disease than overfished reefs. We surveyed reefs across the central Philippines, including well-managed marine protected areas (MPAs), and found that disease prevalence was significantly negatively correlated with fish taxonomic diversity. Further, MPAs had significantly higher fish diversity and less disease than unprotected areas. We subsequently investigated potential links between coral disease and the trophic components of fish diversity, finding that only the density of coral-feeding chaetodontid butterflyfishes, seldom targeted by fishers, was positively associated with disease prevalence. These previously uncharacterized results are supported by a second large-scale dataset from the Great Barrier Reef. We hypothesize that members of the charismatic reef-fish family Chaetodontidae are major vectors of coral disease by virtue of their trophic specialization on hard corals and their ecological release in overfished areas, particularly outside MPAs.
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Coral reefs remain under increasing threat from poor water quality, habitat degradation, and destructive fishing practices (1–3). These disturbances have abetted drastic shifts in reef community structure (4), reduced productivity (5), and lowered resilience (6–8). More recently, outbreaks of infectious diseases have become a significant cause of coral mortality and habitat loss (9). In the Caribbean basin, for example, diseases of coral reef organisms have become the most important factor in the decline of coral reefs throughout that region (10). However, despite a concerted global effort to characterize coral diseases since the early 1990s, the ecological drivers of these phenomena—and the ultimate consequences for coral reef communities—remain poorly understood (11, 12).
Fish are a dominant structuring force on coral reefs, controlling the distribution and abundance of many reef taxa (13–16). However, if subject to sustained heavy fishing, entire functional groups can be lost (17, 18), resulting in a cascade of effects. These can include population increases of species released from predation and competition (19), reduced diversity, and simplified community structure. This, in turn, disrupts numerous weaker, higher-order interactions thought to be directly linked to ecosystem stability (20–22) and which otherwise buffer the effects of agents of mortality, such as pathogens, their vectors, or predators with “boom and bust” population cycles (17, 23, 24). Ultimately, the resilience of coral reefs is compromised (6, 17). In light of evidence that the diversity and abundance of host, vector, or reservoir species can affect the epizootiology of a disease (25–27), we speculate that diverse, less-impacted reef-fish communities can promote coral health.
Hence, to examine whether functionally diverse fish communities play a role in ameliorating coral disease, we surveyed 14 sites [seven marine protected areas (MPAs) and seven adjacent fished sites] across the central Philippines and examined 1,260 m2 of reef for the disease status of 21,646 coral colonies. We tested the hypothesis that reefs with more intact fish communities had significantly lower levels of coral disease. We used well-managed MPAs to ensure intact fish communities, along with companion sites open to fishing but with otherwise comparable benthic communities, to investigate the potential role of reef fish in coral disease dynamics.
Results and Discussion
Factors varying at spatial scales less than that of the study region (circa 12,000 km2) appeared responsible for disease prevalence across sites (“site” refers to a portion of a reef that was surveyed; two sites per reef: one MPA and one fished area). Mean prevalence of all six coral diseases recorded (white syndrome, ulcerative white spots, growth anomalies, black band, skeletal eroding band, and brown band) differed widely among sites, from a low of 0.25% to a high of 7.9% (Fig. 1), although the number of diseases per site did not (Wilcoxon H = −0.808, P = 0.4191). There was a strong spatial component to disease at the regional scale. Sites differed significantly in the prevalence of diseases (two-way ANOVA F = 13.68; P < 0.0001), with sites closer together more likely to have similar disease prevalence than those farther away (r = 0.367, P = 0.0009; simple Mantel test). Thus, despite the potentially high connectivity between the sites in this archipelagic marine system, variation in disease prevalence depended more on aspects of transmission operating at the scale of average intersite distances, 10 km–50 km.
Fig. 1.

Overall, MPAs had a powerful effect on reducing coral disease, with significantly lower disease prevalence than that of unprotected sites (x̄ ± 1 SE: 2.8 ± 0.9 vs. 4.5 ± 1.2; two-way ANOVA F = 5.17; P = 0.02). At all reefs, disease prevalence was lower in MPAs than in fished sites (Fig. 1). These results were not due to differences in percent total coral cover between MPAs and fished sites (57.0 ± 4.5 vs. 57.3 ± 3.4), percent cover of Porites, the dominant hard-coral genus and disease host (40.0 ± 3.4 vs. 40.2 ± 4.0), mean total number of coral colonies per transect (342.2 ± 29.1 vs. 356.8 ± 31.4), or physical damage to colonies (0.14 ± 0.02 vs. 0.10 ± 0.02). Moreover, community-level comparisons, as measured by Bray–Curtis similarities in benthic attributes between sites, revealed no differences (global R = −0.029, P = 0.58) (27). The prevalence of coral disease was instead most strongly reduced on reefs completely protected from fishing; i.e., in MPAs.
Because of its manifold potential effects on fish diversity, fishing could be acting in several ways to exacerbate coral disease, and these ways are not necessarily mutually exclusive. Hence, to clarify the relationship between disease and fish diversity per se, we regressed disease prevalence against the average taxonomic distinctness of the fish assemblages at each site. The latter variable summarizes fish diversity as a function of taxonomic relatedness and is allied with trophic and functional diversity (28–30). For example, low distinctness indicates limited taxonomic representation and has been used to indicate reef degradation (31). Disease prevalence was significantly negatively correlated with fish taxonomic distinctness, regardless of a site's protection status, when controlling for spatial effects and coral cover with a partial Mantel test (all sites: r = −0.753, P < 0.001; Fig. 2A). Moreover, six of seven MPAs showed higher taxonomic distinctness than their paired fished sites (paired t test: t = 2.49; P = 0.053). This relationship suggests an important role, as seen in other systems (24, 32), for high diversity in limiting disease through ecological control of vector species.
Fig. 2.

To examine this idea, we tested which taxonomic components of fish diversity were linked to variation in coral diseases by separately regressing disease prevalence against densities of the 27 most abundant functional groups/taxa (Table 1). We found no significant associations between coral disease and any functional group/taxon (all sites: r ≤ 0.371; P ≥ 0.110). However, when we examined only sites with coral cover ≥50%, a single significant and positive relationship was revealed between disease prevalence and the butterflyfish family Chaetodontidae (r = 0.680, P = 0.028; Fig. 2B and Table 1). This is consistent with a threshold effect of host-coral density in diseases spread through secondary infection (33). Further, within the family, corallivorous species were associated with disease (r = 0.750, P = 0.022), noncorallivorous species only marginally so (r = 0.503, P = 0.067), and obligate corallivores explained more variation in disease than did facultative species (r = 0.686, P = 0.039 vs. r = 0.587, P = 0.049). Chaetodontids were more abundant at sites with taxonomically depauperate fish assemblages (r = −0.692, P = 0.022; Fig. 2C), most likely because they are not targeted by fishers (34) or are released by other indirect, top-down interactions. These results support the hypothesis that corallivorous butterflyfishes can act as vectors of coral diseases.
Table 1.
Taxon and trophic group | Species, n | r | P |
---|---|---|---|
Acanthuridae | |||
Mixed | 27 | −0.4238 | 0.1354 |
Herbivores | 19 | −0.2615 | 0.2621 |
Planktivores | 8 | −0.3432 | 0.2034 |
Anthiinae | |||
Herbivores | 3 | −0.2313 | 0.2991 |
Balistidae | |||
Mixed | 7 | −0.2925 | 0.2573 |
Planktivores | 2 | −0.2475 | 0.2939 |
Invertivores | 2 | −0.5654 | 0.0589 |
Omnivores | 3 | 0.0000 | 0.9999 |
Carangidae | |||
Piscivores | 9 | −0.1504 | 0.3851 |
Chaetodontidae | |||
Mixed | 29 | 0.6800 | 0.0275* |
Planktivores | 2 | −0.4222 | 0.1506 |
Omnivores | 15 | 0.5025 | 0.0674 |
Corallivores | 12 | 0.7497 | 0.0224* |
Facultative corallivores | 5 | 0.5875 | 0.0486* |
Obligate corallivores | 7 | 0.6463 | 0.0392* |
Epinephilinae | |||
Piscivores | 13 | −0.3070 | 0.2258 |
Labridae | |||
Mixed | 54 | −0.2638 | 0.2707 |
Corallivores | 2 | 0.2046 | 0.3189 |
Invertivores | 50 | −0.2691 | 0.2561 |
Piscivores | 2 | 0.0388 | 0.4691 |
Lutjanidae | |||
Piscivores | 12 | −0.5040 | 0.0858 |
Pomacentridae | |||
Mixed | 58 | 0.4045 | 0.1664 |
Corallivore | 1 | −0.1228 | 0.4077 |
Herbivores | 4 | 0.4870 | 0.1221 |
Omnivores | 27 | 0.2224 | 0.2865 |
Planktivores | 26 | 0.4547 | 0.1353 |
Scaridae | |||
Herbivores | 22 | −0.3423 | 0.2063 |
*, P < 0.05.
To test the generality of these findings in other Indo-Pacific reefs, we examined a second large-scale public-domain dataset (35) from the Great Barrier Reef (GBR), Australia, which permitted comparisons of the abundance of taxonomic components of fish assemblages to counts of diseased coral colonies. Chaetodontids again emerged as the single fish family significantly and positively associated with disease prevalence (r = 0.513, P = 0.0081; Fig. 2D and Table 2) at sites with moderate to high coral cover (≥40%) while controlling for spatial autocorrelation effects and holding coral cover constant.
Table 2.
Taxon | Trophic group | r | P |
---|---|---|---|
Acanthuridae | Herbivores | 0.1494 | 0.2816 |
Chaetodontidae | Mixed | 0.5130 | 0.0081* |
Lethrinidae | Invertivores | −0.0673 | 0.4487 |
Lutjanidae | Piscivores | 0.0275 | 0.4824 |
Scaridae | Herbivores | −0.0775 | 0.4021 |
Serranidae | Piscivores | −0.1893 | 0.2550 |
Siganidae | Herbivores | −0.3048 | 0.1094 |
Zanclidae | Invertivores | 0.2500 | 0.1558 |
*, P < 0.05.
Although the etiologies of the disease states we documented remain under study and likely involve multiple mechanisms of transmission, our data suggest a singular mechanism by which high fish diversity can mitigate disease spread in corals. We propose that fishing for highly desired species releases nontargeted fishes, such as corallivorous chaetodontids, from predation- or competition-limited population densities which, in turn, exacerbates coral disease spread in a host-threshold, density-dependent manner. Corallivorous fishes feed preferentially on physically damaged, stressed, or diseased coral tissue (36–38) and increase the rate at which disease spreads from infected to noninfected corals in aquaria (38). These behaviors could transmit coral pathogens via feeding, although spread via fecal contamination (39, 40) and water-borne contamination of feeding-related entry wounds (41) have also been proposed. Regardless, these observations, coupled with the results presented here, raise concern that rarely harvested coral-associated fishes, particularly the common and charismatic butterflyfishes, may be complicit in the demise of reef corals on poorly managed reefs.
Our results demonstrate a clear link between functionally diverse, species-rich fish communities and low disease prevalence. We acknowledge that the effect of fishing on coral health is complex and that the mechanisms by which this occurs require further investigation. Nevertheless, we found that effectively managed MPAs had a powerful effect on reducing coral disease by maintaining functionally diverse fish assemblages. Of equal importance, we showed that even among fished reefs, those with greater fish diversity were, on average, less diseased. This indicates that even a moderate reduction in fishing pressure can ameliorate coral disease. Thus, while protecting reefs from overharvesting confers numerous previously recognized benefits (7, 42), it also presents a promising approach to managing coral disease.
Methods
We surveyed seven MPAs and seven adjacent fished reefs in the central Philippines (refer to Fig. S1 and Table S1 for site locations). All MPAs had an active management plan, including a total ban on harvesting, for at least the previous 5 years and had little to no poaching. We avoided reefs obviously impacted by poor water quality and past destructive fishing practices because such stressors may influence disease prevalence regardless of management effectiveness. Surveys took place in May and June 2006 and were conducted sufficiently distant from the MPA boundary (≥50 m) to minimize edge effects.
At each site, we laid three to six 20-m × 1-m belt transects, the number of transects being proportional to the areal extent of the MPA. To minimize variation in estimates of coral cover between sites, we surveyed the reef crest/slope between 3-m and 7-m depths. Within each transect, all coral colonies >2 cm in diameter were identified to genus, counted, and scored for presence/absence of previously described Indo-Pacific diseases (43–45). Disease prevalence was expressed as percent of diseased colonies per transect and averaged over site. Percentages of live hard coral, coral rubble, and dead standing coral were determined by using the line-intercept method (46). An index of physical damage was calculated per transect as (coral rubble + dead standing coral)/(coral rubble + dead standing coral + live hard coral) and averaged over a site. Fish species abundance was quantified by a single observer along three 50-m × 10-m belt transects at each site within the same reef zones as those surveyed for coral.
We used two-way ANOVAs to look for differences between MPAs and fished sites in disease prevalence, density of Porites, live hard-coral colony counts, and abundance of fish taxa. Site and management status (i.e., protected vs. fished) were used as factors. Data were transformed to meet the assumptions of ANOVA where necessary. When data did not meet these assumptions, nonparametric analogues were used. To account for spatial autocorrelation, we performed all regressions by using Mantel and partial Mantel tests, assessing significance via randomization (47, 48). Intersite distances were calculated as the shortest over-water distance. Partial Mantels were performed by holding intersite distance constant and permuting the raw values (contra the residuals) as recommended in Legendre (49).
The functional diversity of fish assemblages was assessed at each site by using average taxonomic distinctness (28, 50), defined as the degree to which species in a sample are related taxonomically to each other by measuring the average path length between every pair of species through a taxonomic tree. This measure is independent of sample size, which circumvents a problem confounding many of the other more commonly used measures of diversity. It is more sensitive to disturbance effects than traditional indices, such as Shannon diversity (51). The master list of coral reef fishes of the Philippines was compiled from a query to FishBase (www.fishbase.org/search.php).
To assess the generality of the results from the Philippines, we also performed partial Mantel regressions on a comparable dataset from the GBR, which provides publicly available information on population trends of corals and reef fishes for 93 reefs spanning 2,000 km of the GBR (34). We could not, however, compare fish taxonomic distinctness or trophic status within taxa between regions because the GBR data are grouped to the family level. Further, recent rezoning of no-take areas within the GBR precluded our making comparisons between different management regimes (52). We used the most current dataset for each reef (2006 or 2007), which included mean site abundance for 10 fish families and diseased coral colony counts.
Acknowledgments.
We acknowledge field assistance from K. Rosell, P. Cadiz, and P. Rojas. Discussions with C. D. Harvell, B. Willis, R. Rowan, J. McIlwain, P. Mumby, and the Raymundo lab group significantly improved this manuscript, as did comments from two anonymous reviewers. We acknowledge the logistical support of the Coastal Conservation and Education Foundation Inc., Cebu City, Philippines. Funding for this work was provided by the Global Environment Facility/World Bank Coral Reef Targeted Research Program. This is contribution number 624 of the Marine Laboratory, University of Guam.
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References
1
C Roberts, The effects of fishing on the ecosystem structure of coral reefs. Conserv Biol 9, 988–995 (1995).
2
EN Edinger, J Jompa, GV Limmon, W Widjatmoko, MJ Risk, Reef degradation and coral biodiversity in Indonesia: Effects of land-based pollution, destructive fishing practices and changes over time. Mar Pollut Bull 36, 617–630 (1998).
3
TP Hughes, Catastrophes, phase shifts, and large-scale degradation of a Caribbean coral reef. Science 265, 1547–1551 (1994).
4
PJ Mumby, et al., Fishing, trophic cascades, and the process of grazing on coral reefs. Science 311, 98–101 (2006).
5
B Worm, et al., Impacts of biodiversity loss on ocean ecosystem services. Science 314, 787–790 (2006).
6
T McClanahan, NVC Polunin, T Done, Ecological states and resilience of coral reefs. Conserv Ecol 6, 18 (2002).
7
TP Hughes, D Bellwood, CS Folke, LJ McCook, JM Pandolfi, No-take areas, herbivory and coral reef resilience. Trends Ecol Evol 22, 1–3 (2006).
8
D Bellwood, TP Hughes, C Folke, M Nystrom, Confronting the coral reef crisis. Nature 429, 827–833 (2004).
9
RB Aronson, WF Precht, IG Macintyre, Extrinsic control of species replacement on a Holocene reef in Belize: The role of coral disease. Coral Reefs 17, 223–230 (1998).
10
E Weil Coral Health and Disease, eds E Rosenberg, Y Loya (Springer, Heidelberg), pp. 35–68 (2004).
11
CD Harvell, et al., Climate warming and disease risks for terrestrial and marine biota. Science 296, 2158–2162 (2002).
12
LL Richardson, Coral diseases: What is really known? Trends Ecol Evol 13, 438–443 (1998).
13
T McClanahan, Dynamics of Drupella cornus populations on Kenyan coral reefs., eds HA Lessios, IG Macintyre (Smithsonian Tropical Research Institute, Panama City, Panama), pp. 633–638 (1997).
14
DM Ceccarelli, GP Jones, LJ McCook, Territorial damselfishes as determinants of the structure of benthic communities on coral reefs. Oceanogr Mar Biol Annu Rev 39, 355–389 (2001).
15
J Jompa, L McCook, The effects of nutrients and herbivory on competition between a hard coral (Porites cylindrica) and a brown alga (Lobophora variegata). Limnol Oceanogr 47, 527–534 (2002).
16
H Sweatman, No-take reserves protect coral reefs from predatory starfish. Curr Biol 18, R598–R599 (2008).
17
F Micheli, et al., Cascading human impacts, marine protected areas, and the structure of Mediterranean reef assemblages. Ecol Monogr 75, 81–102 (2005).
18
PJ Mumby, The impact of exploiting grazers (Scaridae) on the dynamics of Caribbean coral reefs. Ecol Appl 16, 747–769 (2006).
19
NAJ Graham, RD Evans, GR Russ, The effects of marine reserve protection on the trophic relationships of reef fishes on the Great Barrier Reef. Environ Conserv 30, 200–208 (2003).
20
FSI Chapin, et al., Consequences of changing biodiversity. Nature 405, 234–242 (2000).
21
A Purvis, A Hector, Getting the measure of biodiversity. Nature 405, 212–219 (2000).
22
KS McCann, The diversity-stability debate. Nature 405, 228–233 (2000).
23
E Odum Fundamentals of Ecology (Saunders, Philadelphia, 1953).
24
RS Ostfeld, F Keesing, Biodiversity and disease risk: the case of Lyme disease. Conserv Biol 14, 722–728 (2000).
25
KD Lafferty, Fishing for lobsters indirectly increases epidemics in sea urchins. Ecol Appl 14, 1566–1573 (2004).
26
RS Ostfeld, F Keesing, The function of biodiversity in the ecology of vector-borne zoonotic diseases. Can J Zool 78, 2061–2078 (2000).
27
GA Wobeser Disease in Wild Animals: Investigation and Management (Springer, 2nd Ed., Heidelberg, 2007).
28
KR Clarke, RM Warwick Change in Marine Communities: An Approach to Statistical Analysis and Interpretation (PRIMER-E, 2nd Ed., Plymouth, UK, 2005).
29
KR Clarke, RM Warwick, A taxonomic distinctness index and its statistical properties. J Appl Ecol 35, 523–531 (1998).
30
KR Clarke, RM Warwick, A further biodiversity index applicable to species lists: Variation in taxonomic distinctness. Mar Ecol Prog Ser 216, 265–278 (2001).
31
NAJ Graham, et al., Dynamic fragility of oceanic coral reef ecosystems. Proc Natl Acad Sci USA 103, 8425–8429 (2006).
32
J Van Buskirk, RS Ostfeld, Controlling Lyme disease by modifying the density and species composition of tick hosts. Ecol Appl 5, 1133–1140 (1995).
33
JF Bruno, et al., Thermal stress and coral cover as drivers of coral disease outbreaks. PLoS Biol 5, e124 (2007).
34
T McClanahan, J Cinner, A framework for adaptive gear based fisheries management in Papua New Guinea. Aqua Conserv Mar Coast Ecosyst 18, 493–507 (2008).
35
H Sweatman, et al. Long-Term Monitoring of the Great Barrier Reef. Status Report Number 8 (Australian Institute of Marine Science, Townsville, Australia, 2008).
36
JL McIlwain, GP Jones, Prey selection by an obligate coral-feeding wrasse and its response to small-scale disturbance. Mar Ecol Prog Ser 155, 189–198 (1997).
37
GS Aeby, Trade-offs for the butterflyfish, Chaetodon multicinctus, when feeding on coral prey infected with trematode metacercariae. Behav Ecol Sociobiol 52, 158–165 (2002).
38
GS Aeby, DL Santavy, Factors affecting susceptibility of the coral Montastraea faveolata to black-band disease. Mar Ecol Prog Ser 318, 103–110 (2006).
39
CD Harvell, et al., Coral diseases, environmental drivers, and the balance between coral and microbial associates. Oceanography 20, 172–195 (2007).
40
M Garren, S Smriga, F Azam, Gradients of coastal fish farm effluents and their effect on coral reef microbes. Environ Microbiol 10, 2299–2312 (2008).
41
, eds LJ Raymundo, C Saltonstall, CD Harvell (Currie Communications, Melbourne Coral Diseases: Guidelines for Assessment, Monitoring and Management, 2008).
42
GR Russ, A Alcala, AP Maypa, HP Calumpong, AT White, Marine reserve benefits local fisheries. Ecol Appl 14, 597–606 (2003).
43
B Willis, CA Page, EA Dinsdale Coral Health and Disease, eds E Rosenberg, Y Loya (Springer, Heidelberg), pp. 69–103 (2004).
44
LJ Raymundo, KB Rosell, C Reboton, L Kaczmarsky, Coral diseases on Philippine reefs: Genus Porites is a dominant host. Dis Aqua Org 64, 181–191 (2005).
45
L Kaczmarsky, Coral disease dynamics in the central Philippines. Dis Aqua Org 69, 9–21 (2006).
46
S English, C Wilkinson, V Baker Survey Manual for Tropical Marine Resources (Australian Institute of Marine Science, Townsville, 2nd Ed., Australia, 1997).
47
N Mantel, The detection of disease clustering and a generalized regression approach. Cancer Res 27, 209–220 (1967).
48
PE Smouse, JC Long, RR Sokal, Multiple regression and correlation extensions of the mantel test of matrix correspondence. Syst Zool 35, 627–632 (1986).
49
P Legendre, Comparison of permutation methods for partial correlation and partial Mantel tests. J Stat Comput Sim 67, 37–73 (2000).
50
RM Warwick, KR Clarke, New “biodiversity” measures reveal a decrease in taxonomic distinctness with increasing stress. Mar Ecol Prog Ser 129, 301–305 (1995).
51
RM Warwick, et al., Inter-annual changes in the biodiversity and community structure of the macrobenthos in Tees Bay and the Tees estuary, UK, associated with local and regional environmental events. Mar Ecol Prog Ser 234, 1–13 (2002).
52
L Fernandez, et al., Establishing representative no-take areas in the Great Barrier Reef: Large-scale implementation of theory on marine protected areas. Conserv Biol 19, 1733–1744 (2005).
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Received: January 13, 2009
Published online: October 6, 2009
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Acknowledgments
We acknowledge field assistance from K. Rosell, P. Cadiz, and P. Rojas. Discussions with C. D. Harvell, B. Willis, R. Rowan, J. McIlwain, P. Mumby, and the Raymundo lab group significantly improved this manuscript, as did comments from two anonymous reviewers. We acknowledge the logistical support of the Coastal Conservation and Education Foundation Inc., Cebu City, Philippines. Funding for this work was provided by the Global Environment Facility/World Bank Coral Reef Targeted Research Program. This is contribution number 624 of the Marine Laboratory, University of Guam.
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This article is a PNAS Direct Submission.
This article contains supporting information online at www.pnas.org/cgi/content/full/0900365106/DCSupplemental.
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The authors declare no conflict of interest.
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Functionally diverse reef-fish communities ameliorate coral disease, Proc. Natl. Acad. Sci. U.S.A.
106 (40) 17067-17070,
https://doi.org/10.1073/pnas.0900365106
(2009).
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