Keep collecting: Accurate species distribution modelling requires more collections than previously thought

Diversity and Distributions

Volumn 17, Issue 6, 2011, Pages 1132-1140

  Feeley, Kenneth J ^a,b   Silman, Miles R ^c  

^a FLORIDA INTERNATIONAL UNIVERSITY   (United States)

^b Center for Tropical Plant Conservation   (United States)

^c WAKE FOREST UNIVERSITY   (United States)

Author keywords

Amazon; Andes; Collecting biases; Conservation biogeography; Maxent; Range maps

Indexed keywords

ACCURACY ASSESSMENT; AUTOCORRELATION; BIOGEOGRAPHY; CONSERVATION MANAGEMENT; DATA SET; ECOLOGICAL MODELING; HABITAT CONSERVATION; HABITAT LOSS; HERB; NICHE; NUMERICAL MODEL; POPULATION DISTRIBUTION; RISK FACTOR; SPATIAL ANALYSIS; TROPICAL REGION;

AMAZONIA;

EID: 80054106224     PISSN: 13669516     EISSN: 14724642     Source Type: Journal    
DOI: 10.1111/j.1472-4642.2011.00813.x     Document Type: Article

References (35)

1. Austin, M.P. & Heyligers, P.C. (1989) Vegetation survey design for conservation: gradsect sampling of forests in north-eastern New South Wales. Biological Conservation, 50, 13-32.
2. Dormann, C.F., Mcpherson, J.M., Araujo, M.B., Bivand, R., Bolliger, J., Carl, G., Davies, R.G., Hirzel, A., Jetz, W., Kissling, W.D., Kuhn, I., Ohlemuller, R., Peres-Neto, P.R., Reineking, B., Schroder, B., Schurr, F.M. & Wilson, R. (2007) Methods to account for spatial autocorrelation in the analysis of species distributional data: a review. Ecography, 30, 609-628.
3. Elith, J. & Graham, C. (2009) Do they? How do they? Why do they differ? - on finding reasons for differing performances of species distribution models Ecography, 32, 66.
4. Elith, J., Graham, C.H., Anderson, R.P. et al. (2006) Novel methods improve prediction of species' distributions from occurrence data. Ecography, 29, 129-151.
5. Feeley, K.J. & Silman, M.R. (2009) Extinction risks of Amazonian plant species. Proceedings of the National Academy of Sciences USA, 106, 12382-12387.
6. Feeley, K.J. & Silman, M.R. (2010a) Land-use and climate change effects on population size and extinction risk of Andean plants. Global Change Biology, 16, 3215-3222.
7. Feeley, K.J. & Silman, M.R. (2010b) Modelling Andean and Amazonian plant species responses to climate change: the effects of geo-referencing errors and the importance of data filtering. Journal of Biogeography, 37, 733-740.
8. Feeley, K.J. & Silman, M.R. (2011) The data void in modeling current and future distributions of tropical species. Global Change Biology, 17, 626-630.
9. Fielding, A.H. & Bell, J.F. (1997) A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservation, 24, 38-49.
10. Franklin, J. (2009) Mapping species distributions: spatial inference and predictions. Cambridge University Press, New York.
11. Funk, V.A., Richardson, K.S. & Ferrier, S. (2005) Survey-gap analysis in expeditionary research: where do we go from here? Biological Journal of the Linnean Society, 85, 549-567.
12. Gentry, A.H. (1988) Changes in plant community diversity and floristic composition on environmental and geographic gradients. Annals of the Missouri Botanical Garden, 75, 1-34.
13. Hernandez, P.A., Graham, C.H., Master, L.L. & Albert, D.L. (2006) The effect of sample size and species characteristics on performance of different species distribution modeling methods. Ecography, 29, 773-785.
14. Hijmans, R.J., Cameron, S.E., Parra, J.L., Jones, P.G. & Jarvis, A. (2005) Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology, 25, 1965-1978.
15. Jetz, W., Sekercioglu, C.H. & Watsono, J.E.M. (2008) Ecological correlates and conservation implications of overestimating species geographic ranges. Conservation Biology, 22, 110-119.
16. Jiménez-Valverde, A. & Lobo, J.M. (2007) Threshold criteria for conversion of probability of species presence to either-or presence-absence. Acta Oecologica, 31, 361-369.
17. Kadmon, R., Farber, O. & Danin, A. (2003) A systematic analysis of factors affecting the performance of climatic envelope models. Ecological Applications, 13, 853-867.
18. Kadmon, R., Farber, O. & Danin, A. (2004) Effect of roadside bias on the accuracy of predictive maps produced by bioclimatic models. Ecological Applications, 14, 401-413.
19. Kreft, H. & Jetz, W. (2007) Global patterns and determinants of vascular plant diversity. Proceedings of the National Academy of Sciences, 104, 5925-5930.
20. Loiselle, B.A., Jorgensen, P.M., Consiglio, T., Jimenez, I., Blake, J.G., Lohmann, L.G. & Montiel, O.M. (2008) Predicting species distributions from herbarium collections: does climate bias in collection sampling influence model outcomes? Journal of Biogeography, 35, 105-116.
21. Moerman, D.E. & Estabrook, G.F. (2006) The botanist effect: counties with maximal species richness tend to be home to universities and botanists. Journal of Biogeography, 33, 1969-1974.
22. Monserud, R.A. & Leemans, R. (1992) Comparing global vegetation maps with the kappa statistic. Ecological Modelling, 62, 275-293.
23. Olson, D.M., Dinerstein, E., Wikramanayake, E.D., Burgess, N.D., Powell, G.V.N., Underwood, E.C., Amico, J.A., Itoua, I., Strand, H.E., Morrison, J.C., Loucks, C.J., Allnutt, T.F., Ricketts, T.H., Kura, Y., Lamoreux, J.F., Wettengel, W.W., Hedao, P. & Kassem, K.R. (2001) Terrestrial ecoregions of the world: a new map of life on earth. BioScience, 51, 933-938.
24. Phillips, S.J. & Dudík, M. (2008) Modeling of species distributions with maxent: new extensions and a comprehensive evaluation. Ecography, 31, 161-175.
25. Phillips, S.J., Anderson, R.P. & Schapire, R.E. (2006) Maximum entropy modeling of species geographic distributions. Ecological Modelling, 190, 231-259.
26. Richardson, D.M. & Whittaker, R.J. (2010) Conservation biogeography - foundations, concepts and challenges. Diversity and Distributions, 16, 313-320.
27. Robertson, M.P., Cumming, G.S. & Erasmus, B.F.N. (2010) Getting the most out of atlas data. Diversity and Distributions, 16, 363-375.
28. Schulman, L., Toivonen, T. & Ruokolainen, K. (2007) Analysing botanical collecting effort in amazonia and correcting for it in species range estimation. Journal of Biogeography, 34, 1388-1399.
29. Stockwell, D.R.B. & Peterson, A.T. (2002) Effects of sample size on accuracy of species distribution models. Ecological Modelling, 148, 1-13.
30. Ter Steege, H., Pitman, N., Sabatier, D. et al. (2003) A spatial model of tree alpha-diversity and tree density for the Amazon. Biodiversity and Conservation, 12, 2255-2277.
31. Ter Steege, H., Pitman, N.C.A., Phillips, O.L., Chave, J., Sabatier, D., Duque, A., Molino, J.-F., Prevost, M.-F., Spichiger, R., Castellanos, H., Von Hildebrand, P. & Vasquez, R. (2006) Continental-scale patterns of canopy tree composition and function across amazonia. Nature, 443, 444-447.
32. Thomas, C.D., Cameron, A., Green, R.E., Bakkenes, M., Beaumont, L.J., Collingham, Y.C., Erasmus, B.F.N., De Siqueira, M.F., Grainger, A., Hannah, L., Hughes, L., Huntley, B., Van Jaarsveld, A.S., Midgley, G.F., Miles, L., Ortega-Huerta, M.A., Townsend Peterson, A., Phillips, O.L. & Williams, S.E. (2004) Extinction risk from climate change. Nature, 427, 145-148.
33. Tobler, M., Honorio, E., Janovec, J. & Reynel, C. (2007) Implications of collection patterns of botanical specimens on their usefulness for conservation planning: an example of two neotropical plant families (moraceae and myristicaceae) in Peru. Biodiversity and Conservation, 16, 659-677.
34. Wessels, K.J., Jaarsveld, A.S.V., Grimbeek, J.D. & Linde, M.J.V.D. (1998) An evaluation of the gradsect biological survey method. Biodiversity and Conservation, 7, 1093-1121.
35. Wisz, M.S., Hijmans, R.J., Li, J., Peterson, A.T., Graham, C.H. & Guisan, A. (2008) Effects of sample size on the performance of species distribution models. Diversity and Distributions, 14, 763-773.