The sensitivity of species distribution modeling to scale differences

Ecological Modelling

Volumn 248, Issue , 2013, Pages 113-118

  Song, Wonkyong ^a   Kim, Eunyoung ^a   Lee, Dongkun ^b,c   Lee, Moungjin ^a   Jeon, Seong Woo ^a  

^a Korea Environment Institute (KEI)   (South Korea)

^b Seoul National University   (South Korea)

^c Seoul National University   (South Korea)

Author keywords

Analysis range; Analysis units; Habitat suitability; MaxEnt

Indexed keywords

ANALYSIS METHOD; ANALYSIS RANGE; ANALYSIS UNITS; CRITICAL POINTS; ENVIRONMENTAL DATA; GRAIN SIZE; HABITAT SUITABILITY; HABITAT SUITABILITY INDEX; LANDSCAPE INDEX; LINEAR DECREASE; LOGARITHMIC FUNCTIONS; MAXENT; MAXIMUM ENTROPY; POWER-LAW GRAPH; SPECIES DISTRIBUTIONS; SUITABILITY INDEX; WILDLIFE CONSERVATION;

CONSERVATION; DATA PROCESSING; ECOSYSTEMS; GRAIN SIZE AND SHAPE;

POPULATION DISTRIBUTION;

ACCURACY ASSESSMENT; GRAIN SIZE; HABITAT USE; MAXIMUM ENTROPY ANALYSIS; NATURE CONSERVATION; POWER LAW; SENSITIVITY ANALYSIS;

EID: 84868551232     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2012.09.012     Document Type: Article

References (26)

1. Boyce M.S. Scale for resource selection functions. Diversity and Distributions 2006, 12:269-276.
2. Brotons L., Thuiller W., Arau'jo M.B., Hirzel A.H. Presence-absence versus presence-only modelling methods for predicting bird habitat suitability. Ecography 2004, 27:437-448.
3. Choi T.Y., Choi H.M. A Field Guide to Wildlife Tracking in Korea 2007, Dolgegae, Paju, Korea.
4. Cooke A., Farrell L. Chinese Water Deer 1998, London and the Britsh Deer Society, Fordingbridge.
5. Coreau A., Martin J.-L. Multi-scale study of bird species distribution and of their response to vegetation change: a Mediterranean example. Landscape Ecology 2007, 22:747-764.
6. DeLong E.R., DeLong D.M., Clarke-Pearson D.L. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 1988, 44:837-845.
7. Elith J., Graham C.H., Anderson R.P., Dudík M., Ferrer S., Guisan A., Hijmans R.J., Huettmann F., Leathwick J.R., Lehmann A., Lucia J.L., Lohmann L.G., Loiselle B.A., Manion G., Moritz C., Nakanmura M., Nakazawa Y., Overton J.M., Peterson A.T., Phillips S.J., Richardson K., Scachetti-Pereira R., Schapire R.E., Soberón J., Williams S., Wisz M.S., Zimmermann N.E. Novel methods improve prediction of species' distributions from occurrence data. Ecography 2006, 29:129-151.
8. Ferrier S., Watson G. An Evaluation of the Effectiveness of Environmental Surrogates and Modelling Techniques in Predicting the Distribution of Biological Diversity 1997, NSW National Parks and Wildlife Service, Canberra.
9. Franklin J. Mapping Species Distributions 2009, Cambridge University Press, Cambridge, United Kingdom.
10. Gottschalk T.K., Aue B., Hotes S., Ekschmitt K. Influence of grain size on species-habitat models. Ecological Modelling 2011, 222:3403-3412.
11. Guisan A., Graham C.H., Elith J., Huettmann F. Sensitivity of predictive species distribution models to change in grain size. Diversity and Distributions 2007, 13:332-340.
12. Henderson-Sellers A., Wilson M.F., Thomas G. The effect of spatial resolution on archives of land cover type. Climate Change 1982, 7:391-402.
13. Kim E.K. Behavioral Ecology, Habitat Evaluation and Genetic Characteristics of Water Deer (Hydropotes inermis) in Korea 2011, Department of Forest Environment Protection Graduate School. Kangwon National University, p. 149.
14. Marceau D.J. The scale issue in social and natural sciences. Canadian Journal of Remote Sens. 1999, 25:347-356.
15. Morellet N., Moorter B., Cargnelutti B., Angibault J.-M., Lourtet B., Merlet J., Ladet S., Hewison A.J.M. Landscape composition influences roe deer habitat selection at both home range and landscape scales. Landscape Ecology 2011, 26:999-1010.
16. O'Neill R.V., Krummel J.R., Gardner R.H., Sugihara G., Jackson B., DeAngelis D.L., Milne B.T., Turner M.G., Zygmunt B., Christensen S.W., Dale V.H., Graham R.L. Indices of landscape pattern. Landscape Ecology 1988, 1:153-162.
17. Peterson A.T., Papeş M., Eaton M. Transferability and model evaluation in ecological niche modeling: a comparison of GARP and Maxent. Ecography 2007, 30:550-560.
18. Phillips S.J., Anderson R.P., Schapire R.E. Maximum entropy modeling of species geographic distributions. Ecological Modelling 2006, 190:231-259.
19. R Development Core Team, 2012. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.
20. Scott J.M., Heglund P.J., Morrison M.L. Predicting Species Occurrences: Issues of Accuracy and Scale 2002, Island Press, Covelo, CA.
21. Seo C., Thorne J.H., Hannah L., Thuiller W. Scale effects in species distribution models: implications for conservation planning under climate change. Biology Letters 2009, 5:39-43.
22. Turner M.G., Dale V.H., Gardner R.H. Predicting across scales: theory development and testing. Landscape Ecology 1989, 3:245-252.
23. Turner M.G., O'Neill R.V., Gardner R.H., Milne B.T. Effects of changing spatial scale on the analysis of landscape pattern. Landscape Ecology 1989, 3:153-162.
24. With K.A., Gardner R.H., Turner M.G. Landscape connectivity and population distributions in heterogeneous environments. Oikos 1997, 78:151-169.
25. Zaniewski A.E., Lehmann A., Overton J.M. Predicting species spatial distributions using presence-only data: A case study of native New Zealand ferns. Ecological Modelling 2002, 157:261-280.
26. Zhang E. Daytime activity budgets of the Chinese water deer. Mammalia 2000, 64:163-172.