Skip to main content

A comparison of approaches for modelling the occurrence of marine animals

  • Chapter
Essential Fish Habitat Mapping in the Mediterranean

Part of the book series: Developments in Hydrobiology ((DIHY,volume 203))

Abstract

Approaches for modelling the distribution of animals in relation to their environment can be divided into two basic types, those which use records of absence as well as records of presence and those which use only presence records. For terrestrial species, presence-absence approaches have been found to produce models with greater predictive ability than presence-only approaches. This study compared the predictive ability of both approaches for a marine animal, the harbour porpoise (Phoceoena phocoena). Using data on the occurrence of harbour porpoises in the Sea of Hebrides, Scotland, the predictive abilities of one presence-absence approach (generalised linear modelling-GLM) and three presence-only approaches (Principal component analysis-PCA, ecological niche factor analysis-ENFA and genetic algorithm for rule-set prediction-GARP) were compared. When the predictive ability of the models was assessed using receiver operating characteristic (ROC) plots, the presence-absence approach (GLM) was found to have the greatest predictive ability. However, all approaches were found to produce models that predicted occurrence significantly better than a random model and the GLM model did not perform significantly better than ENFA and GARP. The PCA had a significantly lower predictive ability than GLM but not the other approaches. In addition, all models predicted a similar spatial distribution. Therefore, while models constructed using presence-absence approaches are likely to provide the best understanding of species distribution within a surveyed area, presence-only models can perform almost as well. However, careful consideration of the potential limitations and biases in the data, especially with regards to representativeness, is needed if the results of presence-only models are to be used for conservation and/or management purposes.

Guest Editor: V. D. Valavanis Essential Fish Habitat Mapping in the Mediterranean

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Austin, G. E., C. J. Thomas, D. C. Houston & D. B. A. Thompson, 1996. Predicting the spatial distribution of buzzard Buteo buteo nesting areas using a Geographical Information System and Remote Sensing. Journal of Applied Ecology 33: 1541–1550.

    Article  Google Scholar 

  • Barlow, J. & R. Gisiner, 2006. Mitigating, monitoring and assessing the effects of anthropogenic sound on beaked whales. Journal of Cetacean Research and Management 7: 239–250.

    Google Scholar 

  • Beerling, D. J., B. Huntley & J. P. Bailey, 1995. Climate and the distribution of Fallopia japonica: Use of an introduced species to test the predictive capacity of response surfaces. Journal of Vegetation Science 6: 269–282.

    Article  Google Scholar 

  • Boyce, M. S., P. R. Vernier, S. E. Nielsen & F. K. A. Schmiegelow, 2002. Evaluating resource selection functions. Ecological Modelling 157: 281–300.

    Article  Google Scholar 

  • Brotons, L., W. Thuiller, M. B. Araujo & A. H. Hirzel, 2004. Presence-absence versus presence-only modelling methods for predicting bird habitat suitability. Ecography 27: 437–448.

    Article  Google Scholar 

  • Chambers, J. M. & T. J. Hastie, 1997. Statistical Models in Science. Chapman and Hall, New York.

    Google Scholar 

  • Devlin, B., K. Roeder & L. Wasserman, 2003. False discovery or missed discovery? Heredity 91: 537–538.

    Article  PubMed  CAS  Google Scholar 

  • Evans, P. G. H. & P. S. Hammond, 2004. Monitoring cetaceans in European waters. Mammal Review 34: 131–156.

    Article  Google Scholar 

  • Fielding, A. H. & J. F. Bell, 1997. A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservation 24: 38–49.

    Article  Google Scholar 

  • Garcia, L. V., 2004. Escaping the Bonferroni iron claw in ecological studies. Oikos 105: 657–663.

    Article  Google Scholar 

  • Garcia-Charton, J. A. & A. Perez-Ruzafa, 2001. Spatial pattern and the habitat structure of a Mediterranean rocky reef fish local assemblage. Marine Biology 138: 917–934.

    Article  Google Scholar 

  • Guisan, A. & U. Hofer, 2003. Predicting reptile distributions at the mesoscale: Relation to climate and topography. Journal of Biogeography 30: 1233–1243.

    Article  Google Scholar 

  • Guisan, A. & N. E. Zimmerman, 2000. Predictive habitat distribution models in ecology. Ecological Modelling 135: 147–186.

    Article  Google Scholar 

  • Hirzel, H. A., J. Hausser & N. Perrin, 2000. Biomapper 2.0. Laboratory for Conservation Biology, University of Lausanne.

    Google Scholar 

  • Hirzel, A. H., V. Helfer & F. Metral, 2001. Assessing habitatsuitability models with a virtual species. Ecological Modelling 145: 111–121.

    Article  Google Scholar 

  • Hirzel, A. H., J. Hausser, D. Chessel & N. Perrin, 2002. Ecological Niche-factor analysis: How to compute habitat suitability maps without absence data? Ecology 83: 2027–2036.

    Article  Google Scholar 

  • Ingram, S. N., L. Walshe, D. Johnston & E. Rogan, 2007. Habitat partitioning and the influence of benthic topography and oceanography on the distribution of fin and minke whales in the Bay of Fundy, Canada. Journal of the Marine Biological Association of the United Kingdom 87: 149–156.

    Article  Google Scholar 

  • Laake, J. L., J. Calambokidis, S. D. Osmek & D. J. Rugh, 1997. Probability of detecting harbor porpoise from aerial surveys: Estimating g(0). Journal of Wildlife Management 61: 63–75.

    Article  Google Scholar 

  • Lerczak, J. A. & R. C. Hobbs, 1998. Calculating sightings distances from angular readings during shipboard, aerial and shore-based marine mammal surveys. Marine Mammal Science 14: 590–599.

    Article  Google Scholar 

  • Lindenmayer, D. B., H. A. Nix, J. P. McMahon, M. F. Hutchinson & M. T. Tanton, 1991. The conservation of Leadbeater’s possum, Gymnobelideus leadbeateri (McCoy): A case study of the use of bioclimatic modelling. Journal of Biogeography 8: 371–383.

    Article  Google Scholar 

  • MacLeod, C. D., 2000. Review of the distribution of Mesoplodon species (order Cetacea, family Ziphiidae) in the North Atlantic. Mammal Review 30: 1–8.

    Article  Google Scholar 

  • MacLeod, K., R. Fairbairns, A. Gill, B. Fairbairns, J. Gordon, C. Blair-Myers & E. C. M. Parsons, 2004. Seasonal distribution of minke whales Balaenoptera acutorostrata in relation to physiography and prey off the Isle of Mull, Scotland. Marine Ecology Progress Series 277: 263–274.

    Article  Google Scholar 

  • MacLeod, C. D., C. R. Weir, C. Pierpoint & E. J. Harland, 2007. The habitat preferences of marine mammals west of Scotland (UK). Journal of the Marine Biological Association of the United Kingdom 87: 157–164.

    Article  Google Scholar 

  • MacLeod, C. D. & A. F. Zuur, 2005. Habitat utilisation by Blainville’s beaked whales off Great Abaco, Northern Bahamas, in relation to seabed topography. Marine Biology 147: 1–11.

    Article  Google Scholar 

  • Ortega-Huerta, M. & A. T. Peterson, 2004. Modelling spatial patterns of biodiversity for conservation prioritisation in north-eastern Mexico. Diversity and Distributions 10: 39–54.

    Article  Google Scholar 

  • Palka, D., 1996. Effects of Beaufort Sea state on the sightability of harbour porpoises in the Gulf of Maine. Report of the International Whaling Commission 46: 575–582.

    Google Scholar 

  • Reutter, B. A., V. Helfer, A. H. Hirzel & P. Vogel, 2003. Modelling habitat-suitability on the base of museum collections: an example with three sympatric Apodemus species from the Alps. Journal of Biogeography 30: 581–590.

    Google Scholar 

  • Robertson, M. P., N. Caithness & M. H. Villet, 2001. A PCA-based modelling technique for predicting environmental suitability for organisms from presence records. Diversity and Distributions 7: 15–27.

    Article  Google Scholar 

  • Robison, B. H., 2004. Deep pelagic biology. Journal of Experimental Marine Biology and Ecology 300: 253–272.

    Article  Google Scholar 

  • Schulze, R. E. & R. P. Kunz, 1995. Potential shifts in optimum growth areas of selected commercial tree species and subtropical crops in southern Africa due to global warming. Journal of Biogeography 22: 679–688.

    Article  Google Scholar 

  • Sparholt, H., E. Aro & J. Modin, 1991. The spatial distribution of cod Gadus morhua L. in the Baltic Sea. Dana 9: 45–56.

    Google Scholar 

  • Stockwell, D. & D. Peters, 1999. The GARP modelling system: problems and solutions to automated spatial prediction. International Journal of Geographical Information Science 13: 143–158.

    Article  Google Scholar 

  • Teilmann, J., 2003. Influence of sea state on density estimates of harbour porpoises (Phocoena phocoena). Journal of Cetacean Research and Management 5: 85–92.

    Google Scholar 

  • Williams, A. K., 2003. The influence of probability of detection when modelling species occurrence using GIS and survey data PhD thesis, Blacksburg University, Blacksburg, USA.

    Google Scholar 

  • Zaniewski, A. E., A. Lehman & J. M. Overton, 2002. Predicting species spatial distributions using presence-only data: a case study of the New Zealand ferns. Ecological Modelling 157: 261–280.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer Science+Business Media B.V.

About this chapter

Cite this chapter

MacLeod, C.D., Mandleberg, L., Schweder, C., Bannon, S.M., Pierce, G.J. (2008). A comparison of approaches for modelling the occurrence of marine animals. In: Valavanis, V.D. (eds) Essential Fish Habitat Mapping in the Mediterranean. Developments in Hydrobiology, vol 203. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-9141-4_3

Download citation

Publish with us

Policies and ethics