Abstract
The diversity, abundance and distribution of reef fish are related to heterogeneity and physical complexity of benthic habitat. However, the field effort required to evaluate these aspects of the benthos in situ, at the scale of entire reefscapes, is greatly constrained by logistical and resource limitations. With moderate ground truthing, both substratum type and seabed topography are amenable to monitoring using satellite data. Here, remote sensing imagery was used to resolve the bathymetry and benthic character of a reef system in Diego Garcia (British Indian Ocean Territory). Replicate fish counts were made at seven measurement stations across the study area using visual census. Monte Carlo simulation revealed that species richness and abundance of several guilds and size groupings of reef fish appraised in situ were correlated with the satellite-derived seabed parameters over areas of seafloor as large as 5,030 m2. The study suggests that satellite remote sensing is capable of predicting habitat complexity at a scale relevant to fish. Furthermore, as larger size classes of fish were better predicted with the satellite habitat complexity data, this technique could be used to predict fish stocks and identify potential sites for marine protected areas where intensive field surveys are not practical.
References
Andréfouët S, Guzman HM (2005) Coral reef distribution, status and geomorphology–biodiversity relationship in Kuna Yala (San Blas) archipelago, Carribean Panama. Coral Reefs 24:31–42
Andréfouët S, Kramer P, Torres-Pulliza D, Joyce KE, Hochberg EJ, Garza-Perez R, Mumby PJ, Riegl B, Yamano H, White WH, Zubia M, Brock JC, Phinn SR, Naseer A, Hatcher BG, Muller-Karger FE (2003) Multi-sites evaluation of IKONOS data for classification of tropical coral reef environments. Remote Sens Environ 88:128–143
Arias-González JE, Done TJ, Page CM, Cheal A, Kininmonth S, Garza-Pérez JR (2006) Towards a reefscape ecology: relating biomass and trophic structure of fish assemblages to habitat at Davies Reef, Australia. Mar Ecol Prog Ser 320:29–41
Ault JS, Smith SG, Bohnsack JA (2005) Evaluation of average length as an estimator of exploitation status for the Florida coral-reef fish community. ICES J Mar Sci 62:417–423
Bellwood DR, Hughes TP, Hoey AS (2006) Sleeping functional group drives coral reef recovery. Curr Biol 16:2434–2439
Brinker RC, Minnick R (1994) The surveying handbook. Kluwer, Dordrecht
Brock JC, Wright CW, Kuffner IB, Hernandez R, Thompson P (2006) Airborne lidar sensing of massive stony coral colonies on patch reefs in the northern Florida reef tract. Remote Sens Environ 104:31–42
Caley MJ, St John J (1996) Refuge availability structures assemblages of tropical reef fishes. J Anim Ecol 65:414–428
Clua E, Legendre P, Vigliola L, Magron F, Kulbicki M, Sarramegna S, Labrosse P, Galzin R (2006) Medium scale approach (MSA) for improved assessment of coral reef fish habitat. J Exp Mar Biol Ecol 333:219–230
Connolly SR, Hughes TP, Bellwood DR, Karlson RH (2005) Community structure of corals and reef fishes at multiple scales. Science 309:1363–1365
Dorenbosch MM, Grol GG, Christianen MJA, Nagelkerken I, van der Velde G (2005) Indo-Pacific seagrass beds and mangroves contribute to fish density and diversity on adjacent coral reefs. Mar Ecol Prog Ser 302:63–76
Friedlander AM, Parish JD (1998) Habitat characteristics affecting fish assemblages on a Hawaiian coral reef. J Exp Mar Biol Ecol 224:1–30
Froese R, Pauly D (2006) FishBase. World Wide Web electronic publication. www.fishbase.org, version (10/2006)
Garpe KC, Yahya SAS, Lindahl U, Ohman MC (2006) Effects of the 1998 coral bleaching event on reef fish assemblages. Mar Ecol Prog Ser 315:237–247
Goreau T, McClanahan T, Hayes R, Strong A (2000) Conservation of coral reefs after the 1998 global bleaching event. Conserv Biol 14:5–15
Gotelli NJ, Ellison AM (2004) A primer of ecological statistics. Sinauer Associates, Sunderland
Graham NAJ, Evans RD, Russ GR (2003) The effects of marine reserve protection on the trophic relationships of reef fishes on the Great Barrier Reef. Environ Conserv 30:200–208
Graham NAJ, Wilson SK, Jennings S, Polunin NVC, Bijoux JP, Robinson J (2006) Dynamic fragility of oceanic coral reef ecosystems. Proc Natl Acad Sci USA 103:8425–8429
Graham NAJ, Wilson SK, Jennings S, Polunin NVC, Robinson J, Bijoux JP, Daw TM (2007) Lag effects in the impacts of mass coral bleaching on coral reef fish, fisheries, and ecosystems. Conserv Biol 21:1291–1300
Gratwicke B, Speight MR (2005) Effects of habitat complexity on Caribbean marine fish assemblages. Mar Ecol Prog Ser 292:301–310
Guitart C, Sheppard A, Frickers T, Price A, Readman J (2007) Negligible risks to corals from antifouling booster biocides and triazine herbicides in coastal waters of the Chagos Archipelago. Mar Pollut Bull 54:226–246
Habeeb RL, Johnson CR, Wotherspoon S, Mumby PJ (2007) Optimal scales to observe habitat dynamics: a coral reef example. Ecol App 17:641–647
Harborne AR, Mumby PJ, Żychaluk K, Hedley JD, Blackwell PG (2006) Modelling the beta diversity of coral reefs. Ecology 87:2871–2881
Hedley JD, Mumby PJ (2003) A remote sensing method for resolving depth and subpixel composition of aquatic benthos. Limnol Oceanogr 24:480–488
Hixon MA (1991) Predation as a process structuring coral reef fish communities. In: Sale PF (ed) The ecology of fishes on coral reefs. Academic, San Diego, pp 475–508
Hixon MA, Beets JP (1993) Predation, prey refuges, and the structure of coral-reef fish assemblages. Ecol Monogr 63:77–101
Jenness J (2004) Calculating landscape surface area from digital elevation models. Wildl Soc Bull 32:829–839
Jennings S, Polunin NVC (1997) Impacts of predator depletion by fishing on the biomass and diversity of non-target reef fish communities. Coral Reefs 16:71–82
Jennings S, Grandcourt EM, Polunin NVC (1995) The effects of fishing on the diversity, biomass and trophic structure of Seychelles’ reef fish community. Coral Reefs 14:225–235
Jennings S, Reynolds JD, Polunin NVC (1999) Predicting the vulnerability of tropical reef fishes to exploitation with phylogenies and life histories. Conserv Biol 13:1466–1475
Jones GP, McCormick MI, Srinivasan M, Eagle JV (2004) Coral decline threatens fish biodiversity in marine reserves. Proc Natl Acad Sci USA 101:8251–8253
Kuffner IB, Brock JC, Grober-Dunsmore R, Bonito VE, Hickey TD, Wright CW (2007) Relationships between reef fish communities and remotely sensed rugosity measurements in Biscayne National Park, Florida, USA. Environ Biol Fish 78:71–82
Ledlie MH, Graham NAJ, Bythell JC, Wilson SK, Jennings S, Polunin NVC, Hardcastle J (2007) Phase shifts and the role of herbivory in the resilience of coral reefs. Coral Reefs 26:641–653
Lee Z, Carder KL, Mobley CD, Steward RG, Patch JS (1999) Hyperspectral remote sensing for shallow waters. 2. Deriving bottom depths and water properties by optimization. Appl Opt 38:3831–3843
Luckhurst BE, Luckhurst K (1978) Analysis of the influence of substrate variables on coral reef fish communities. Mar Biol 49:317–323
McClanahan TR (1994) Kenyan coral reef lagoon fish: effects of fishing, substrate complexity, and sea urchins. Coral Reefs 13:231–241
McClanahan TR, Graham NAJ, Maina J, Chabanet P, Bruggemann JH, Polunin NVC (2007) The influence of instantaneous variation on estimates of coral reef fish populations and communities. Mar Ecol Prog Ser 340:221–234
Mumby PJ, Chisholm JRM, Hedley JD, Clark CD, Jaubert J (2001) A bird’s-eye view of the health of coral reefs. Nature 413:36
Mumby PJ, Edwards AJ, Arias-González JE, Lindeman KC, Blackwell PG, Gall A, Gorczynska MI, Harborne AR, Pescod CL, Renken H, Wabnitz CCC, Llewellyn G (2004a) Mangroves enhance the biomass of coral reef fish communities in the Caribbean. Nature 427:533–536
Mumby PJ, Skirving W, Strong AE, Hardy JT, LeDrew EF, Hochberg EJ, Stumpf RP, David LT (2004b) Remote sensing of coral reefs and their physical environment. Mar Pollut Bull 48:219–228
Munday PL, Jones GP, Caley MJ (1997) Habitat specialisation and the distribution and abundance of coral-dwelling gobies. Mar Ecol Prog Ser 152:227–239
Pielou EC (1969) An introduction to mathematical ecology. Wiley-Interscience, New York
Purkis SJ, Riegl B (2005) Spatial and temporal dynamics of Arabian Gulf coral assemblages quantified from remote-sensing and in situ monitoring data. Mar Ecol Prog Ser 287:99–113
Purkis SJ, Myint S, Riegl B (2006) Enhanced detection of the coral Acropora cervicornis from satellite imagery using a textural operator. Remote Sens Environ 101:82–94
Purkis SJ, Kohler KE, Riegl BM, Rohmann SE (2007) The statistics of natural shapes in modern coral reef landscapes. J Geol 115:493–508
Risk MJ (1972) Fish diversity on a coral reef in the Virgin Islands. Atoll Res Bull 153:1–6
Sano M, Shimizu M, Nose Y (1987) Long-term effects of destruction of hermatypic corals by Acanthaster planci infestation on reef fish communities at Iriomote Island, Japan. Mar Ecol Prog Ser 37:191–199
Sheppard CRC (1999) Coral decline and weather patterns over 20 years in the Chagos Archipelago, central Indian Ocean. Ambio 28:472–478
Sheppard CRC, Spalding M, Bradshaw C, Wilson S (2002) Erosion vs. recovery of coral reefs after the 1998 El Nino: Chagos Reefs, Indian Ocean. Ambio 31:40–48
Stumpf RP, Holderied K, Sinclair M (2003) Determination of water depth with high-resolution satellite imagery over variable bottom types. Limnol Oceanogr 48:547–556
Syms C (1995) Multi-scale analysis of habitat association in a guild of blennioid fishes. Mar Ecol Prog Ser 125:31–43
Wilson SK, Graham NAJ, Pratchett MP, Jones GP, Polunin NVC (2006) Multiple disturbances and the global degradation of coral reefs: are reef fishes at risk or resilient? Global Change Biol 12:2220–2234
Wilson SK, Graham NAJ, Polunin NVC (2007) Appraisal of visual assessments of habitat complexity and benthic composition on coral reefs. Mar Biol 151:1069–1076
Acknowledgments
We thank the Chagos Research Expedition of 2006, funded largely by the FCO, London, for resources which enabled the visit to take place. Additional funding for SP and BR was provided by the National Oceanic and Atmospheric Administration (NOAA), Center for Sponsored Coastal Ocean Science, under award NA04NOS4260065 to Nova Southeastern University for the National Coral Reef Institute (NCRI). Additional funding for NG was provided by the Leverhulme Trust and the Fisheries Society of the British Isles. We are grateful for assistance in the field provided by Alasdair Harris (Blue Ventures) and advice offered by Shaun Wilson and three anonymous reviewers. Lastly, we are forever indebted to Charles Sheppard (University of Warwick) for facilitating a trip to such a unique location. This is NCRI contribution 90.
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Communicated by Ecology Editor P.J. Mumby.
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Purkis, S.J., Graham, N.A.J. & Riegl, B.M. Predictability of reef fish diversity and abundance using remote sensing data in Diego Garcia (Chagos Archipelago). Coral Reefs 27, 167–178 (2008). https://doi.org/10.1007/s00338-007-0306-y
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DOI: https://doi.org/10.1007/s00338-007-0306-y