메뉴 건너뛰기




Volumn 29, Issue 5, 2006, Pages 773-785

The effect of sample size and species characteristics on performance of different species distribution modeling methods

Author keywords

[No Author keywords available]

Indexed keywords

DATA SET; ECOLOGICAL MODELING; GEOGRAPHICAL DISTRIBUTION; RARE SPECIES; SPECIES OCCURRENCE;

EID: 33750352002     PISSN: 09067590     EISSN: 16000587     Source Type: Journal    
DOI: 10.1111/j.0906-7590.2006.04700.x     Document Type: Article
Times cited : (1938)

References (40)
  • 1
    • 0347597022 scopus 로고    scopus 로고
    • Modeling species' geographic distributions for preliminary conservation assessments: An implementation with the spiny pocket mice (Heteromys ) of Ecuador
    • Anderson, R. P. and Martínez-Meyer, E. 2004. Modeling species' geographic distributions for preliminary conservation assessments: an implementation with the spiny pocket mice (Heteromys ) of Ecuador. - Biol. Conserv. 116: 167-179
    • (2004) Biol. Conserv. , vol.116 , pp. 167-179
    • Anderson, R.P.1    Martínez-Meyer, E.2
  • 2
    • 0037446358 scopus 로고    scopus 로고
    • Evaluating predictive models of species' distributions: Criteria for selecting optimal models
    • Anderson, R. P. et al. 2003. Evaluating predictive models of species' distributions: criteria for selecting optimal models. - Ecol. Modell. 162: 211-232.
    • (2003) Ecol. Modell. , vol.162 , pp. 211-232
    • Anderson, R.P.1
  • 3
    • 0003794238 scopus 로고    scopus 로고
    • Anon. SPSS, Chicago
    • Anon. 2001. SPSS for Windows. - SPSS, Chicago.
    • (2001) SPSS for Windows
  • 4
    • 0033784575 scopus 로고    scopus 로고
    • Selecting areas for species persistence using occurrence data
    • Araujo, M. B. and Williams, P. H. 2000. Selecting areas for species persistence using occurrence data. - Biol. Conserv. 96: 331-345.
    • (2000) Biol. Conserv. , vol.96 , pp. 331-345
    • Araujo, M.B.1    Williams, P.H.2
  • 6
    • 3042679203 scopus 로고    scopus 로고
    • Presence-absence versus presence-only modeling methods for predicting bird habitat suitability
    • Brotons, L. et al. 2004. Presence-absence versus presence-only modeling methods for predicting bird habitat suitability. - Ecography 27: 437-448.
    • (2004) Ecography , vol.27 , pp. 437-448
    • Brotons, L.1
  • 7
    • 0026304090 scopus 로고
    • BIOCLIM - A bioclimate analysis and prediction system
    • Margules, C. R. and Austin, M. P. (eds), CSIRO
    • Busby, J. R. 1991. BIOCLIM - a bioclimate analysis and prediction system. - In: Margules, C. R. and Austin, M. P. (eds), Nature conservation: cost effective biological surveys and data analysis. CSIRO, pp. 64-68.
    • (1991) Nature Conservation: Cost Effective Biological Surveys and Data Analysis , pp. 64-68
    • Busby, J.R.1
  • 8
    • 0027130075 scopus 로고
    • DOMAIN: A flexible modeling procedure for mapping potential distributions of plants and animals
    • Carpenter, G. et al. 1993. DOMAIN: a flexible modeling procedure for mapping potential distributions of plants and animals. - Biodiv. Conserv. 2: 667-680.
    • (1993) Biodiv. Conserv. , vol.2 , pp. 667-680
    • Carpenter, G.1
  • 9
    • 0002040721 scopus 로고    scopus 로고
    • Modelling species distribution with GIS
    • Boitani, L. and Fuller, T. K. (eds), Columbia Univ. Press
    • Corsi, F. et al. 2000. Modelling species distribution with GIS. - In: Boitani, L. and Fuller, T. K. (eds), Research techniques in animal ecology; controversies and consequences. Columbia Univ. Press, pp. 389-434.
    • (2000) Research Techniques in Animal Ecology; Controversies and Consequences , pp. 389-434
    • Corsi, F.1
  • 11
    • 33645917058 scopus 로고    scopus 로고
    • Novel methods improve prediction of species' distributions from occurrence data
    • Elith, J. et al. 2006. Novel methods improve prediction of species' distributions from occurrence data. - Ecography 29: 129-151.
    • (2006) Ecography , vol.29 , pp. 129-151
    • Elith, J.1
  • 12
    • 1942456846 scopus 로고    scopus 로고
    • An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data
    • Engler, R. et al. 2004. An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data. - J. Appl. Ecol. 41: 263-274.
    • (2004) J. Appl. Ecol. , vol.41 , pp. 263-274
    • Engler, R.1
  • 13
    • 0037301478 scopus 로고    scopus 로고
    • Assessment of alternative approaches for bioclimatic modeling with special emphasis on the Mahalanobis distance
    • Farber, O. and Kadmon, R. 2003. Assessment of alternative approaches for bioclimatic modeling with special emphasis on the Mahalanobis distance. - Ecol. Modell. 160: 115-130.
    • (2003) Ecol. Modell. , vol.160 , pp. 115-130
    • Farber, O.1    Kadmon, R.2
  • 14
    • 0030953391 scopus 로고    scopus 로고
    • A review of methods for the assessment of prediction errors in conservation presence/ absence models
    • Fielding, A. H. and Bell, J. F. 1997. A review of methods for the assessment of prediction errors in conservation presence/ absence models. - Environ. Conserv. 24: 38-49.
    • (1997) Environ. Conserv. , vol.24 , pp. 38-49
    • Fielding, A.H.1    Bell, J.F.2
  • 15
    • 13444274881 scopus 로고    scopus 로고
    • Species ranges and distributional limits: Pattern analysis and statistical issues
    • Fortin, M.-J. et al. 2005. Species ranges and distributional limits: pattern analysis and statistical issues. - Oikos 108: 7-17.
    • (2005) Oikos , vol.108 , pp. 7-17
    • Fortin, M.-J.1
  • 17
    • 33750301714 scopus 로고    scopus 로고
    • Mapping the potential distribution of plants and animals for wildlife management: The use of the DOMAIN software package
    • Romimoharto, K. et al. (eds), The Indonesian Wildlife Fund (IWF), Jakarta, +two maps
    • Gillison, A. N. 1997. Mapping the potential distribution of plants and animals for wildlife management: the use of the DOMAIN software package. - In: Romimoharto, K. et al. (eds), Proceedings of the national seminar on the role of wildlife conservation and its ecosystem in national development. The Indonesian Wildlife Fund (IWF), Jakarta, pp. 114-119+two maps.
    • (1997) Proceedings of the National Seminar on the Role of Wildlife Conservation and Its Ecosystem in National Development , pp. 114-119
    • Gillison, A.N.1
  • 18
    • 4344601500 scopus 로고    scopus 로고
    • New developments in museum-based informatics and application in biodiversity analysis
    • Graham, C. H. et al. 2004. New developments in museum-based informatics and application in biodiversity analysis. - Trends Ecol. Evol. 19: 497-503.
    • (2004) Trends Ecol. Evol. , vol.19 , pp. 497-503
    • Graham, C.H.1
  • 19
    • 0034610199 scopus 로고    scopus 로고
    • Predictive habitat distribution models in ecology
    • Guisan, A. and Zimmermann, N. E. 2000. Predictive habitat distribution models in ecology. - Ecol. Modell. 135: 147-186.
    • (2000) Ecol. Modell. , vol.135 , pp. 147-186
    • Guisan, A.1    Zimmermann, N.E.2
  • 20
    • 0003337955 scopus 로고    scopus 로고
    • Ecological-niche factor analysis: How to compute habitat-suitability maps without absence data?
    • Hirzel, A. H. et al. 2002. Ecological-niche factor analysis: how to compute habitat-suitability maps without absence data? - Ecology 83: 2027-2036.
    • (2002) Ecology , vol.83 , pp. 2027-2036
    • Hirzel, A.H.1
  • 21
    • 0012401415 scopus 로고    scopus 로고
    • Predicting the occurrence of amphibians: An assessment of multiple-scale models
    • Scott, J. M. et al. (eds), Inland Press
    • Johnson, C. M. et al. 2002. Predicting the occurrence of amphibians: an assessment of multiple-scale models. - In: Scott, J. M. et al. (eds), Predicting species occurrences: issues of accuracy and scale. Inland Press, pp. 157-170.
    • (2002) Predicting Species Occurrences: Issues of Accuracy and Scale , pp. 157-170
    • Johnson, C.M.1
  • 22
    • 0346361819 scopus 로고    scopus 로고
    • A systematic analysis of factors affecting the performance of climatic envelope models
    • Kadmon, R. et al. 2003. A systematic analysis of factors affecting the performance of climatic envelope models. - Ecol. Appl. 13: 853-867.
    • (2003) Ecol. Appl. , vol.13 , pp. 853-867
    • Kadmon, R.1
  • 23
    • 0027090903 scopus 로고
    • Rarity and vulnerability: The birds of the cordillera central Columbia
    • Kattan, G. H. 1992. Rarity and vulnerability: the birds of the cordillera central Columbia. - Conserv. Biol. 6: 64-70.
    • (1992) Conserv. Biol. , vol.6 , pp. 64-70
    • Kattan, G.H.1
  • 24
    • 0000145202 scopus 로고
    • The conservation of Leadbeater's possum, Gymnobelideus leadbeateri (McCoy): A case study of the use of bioclimatic modeling
    • Lindenmayer, D. B. et al. 1991. The conservation of Leadbeater's possum, Gymnobelideus leadbeateri (McCoy): a case study of the use of bioclimatic modeling. - J. Biogeogr. 18: 371-383.
    • (1991) J. Biogeogr. , vol.18 , pp. 371-383
    • Lindenmayer, D.B.1
  • 25
    • 0346104915 scopus 로고    scopus 로고
    • Avoiding pitfalls of using species distribution models in conservation planning
    • Loiselle, B. A. et al. 2003. Avoiding pitfalls of using species distribution models in conservation planning. - Conserv. Biol. 17: 1591-1600.
    • (2003) Conserv. Biol. , vol.17 , pp. 1591-1600
    • Loiselle, B.A.1
  • 26
    • 28244499981 scopus 로고    scopus 로고
    • Uncertainty of bioclimate envelope models based on the geographical distribution of species
    • Luoto, M. et al. 2005. Uncertainty of bioclimate envelope models based on the geographical distribution of species. - Global Ecol. Biogeogr. 14: 575-584.
    • (2005) Global Ecol. Biogeogr. , vol.14 , pp. 575-584
    • Luoto, M.1
  • 27
    • 0034770214 scopus 로고    scopus 로고
    • Evaluating presence-absence models in ecology: The need to account for prevalence
    • Manel, S. et al. 2001. Evaluating presence-absence models in ecology: the need to account for prevalence. - J. Appl. Ecol. 38: 921-931.
    • (2001) J. Appl. Ecol. , vol.38 , pp. 921-931
    • Manel, S.1
  • 28
    • 5344259743 scopus 로고    scopus 로고
    • The effects of species' range sizes on the accuracy of distribution models: Ecological phenomenon or statistical artifact?
    • McPherson, J. M. et al. 2004. The effects of species' range sizes on the accuracy of distribution models: ecological phenomenon or statistical artifact? - J. Appl. Ecol. 41: 811-823.
    • (2004) J. Appl. Ecol. , vol.41 , pp. 811-823
    • McPherson, J.M.1
  • 29
    • 0002965463 scopus 로고
    • A biogeographic analysis of Australian elapid snakes
    • Longmore, R. (ed.), Bureau of Flora and Fauna, Canberra
    • Nix, H. 1986. A biogeographic analysis of Australian elapid snakes. - In: Longmore, R. (ed.), Atlas of elapid snakes of Australia. Bureau of Flora and Fauna, Canberra, pp. 4-15.
    • (1986) Atlas of Elapid Snakes of Australia , pp. 4-15
    • Nix, H.1
  • 30
    • 0033831709 scopus 로고    scopus 로고
    • Evaluating the predictive performance of habitat models developed using logistic regression
    • Pearce, J. and Ferrier, S. 2000. Evaluating the predictive performance of habitat models developed using logistic regression. - Ecol. Modell. 133: 225-245
    • (2000) Ecol. Modell. , vol.133 , pp. 225-245
    • Pearce, J.1    Ferrier, S.2
  • 32
    • 27944446350 scopus 로고    scopus 로고
    • Maximum entropy modeling of species geographic distributions
    • Phillips, S. J. et al. 2006. Maximum entropy modeling of species geographic distributions. - Ecol. Modell. 190: 231-259.
    • (2006) Ecol. Modell. , vol.190 , pp. 231-259
    • Phillips, S.J.1
  • 33
    • 0002763259 scopus 로고
    • Seven forms of rarity and their frequency in the flora of the British Isles
    • Soulé, M. E. (ed.), Sinauer
    • Rabinowitz, D. et al. 1986. Seven forms of rarity and their frequency in the flora of the British Isles. - In: Soulé, M. E. (ed.), Conservation biology: the science of scarcity and diversity. Sinauer, pp. 182-204.
    • (1986) Conservation Biology: the Science of Scarcity and Diversity , pp. 182-204
    • Rabinowitz, D.1
  • 34
    • 4644223644 scopus 로고    scopus 로고
    • An evaluation of methods for modelling species distributions
    • Segurado, P. and Araujo, M. B. 2004. An evaluation of methods for modelling species distributions. - J. Biogeogr. 31: 1555-1568.
    • (2004) J. Biogeogr. , vol.31 , pp. 1555-1568
    • Segurado, P.1    Araujo, M.B.2
  • 36
    • 0032903209 scopus 로고    scopus 로고
    • The GARP modeling system problems and solutions to automated spatial prediction
    • Stockwell, D. and Peters, D. 1999. The GARP modeling system problems and solutions to automated spatial prediction. - Int. J. Geogr. Inform. Sci. 13: 143-158.
    • (1999) Int. J. Geogr. Inform. Sci. , vol.13 , pp. 143-158
    • Stockwell, D.1    Peters, D.2
  • 37
    • 0036468622 scopus 로고    scopus 로고
    • Effects of sample size on accuracy of species distribution models
    • Stockwell, D. R. B. and Peterson, A. T. 2002. Effects of sample size on accuracy of species distribution models. - Ecol. Modell. 148: 1-13.
    • (2002) Ecol. Modell. , vol.148 , pp. 1-13
    • Stockwell, D.R.B.1    Peterson, A.T.2
  • 38
    • 0242319036 scopus 로고    scopus 로고
    • Generalized models vs. classification tree analysis: Predicting spatial distributions of plant species at different scales
    • Thuiller, W. et al. 2003. Generalized models vs. classification tree analysis: predicting spatial distributions of plant species at different scales. - J. Veg. Sci. 14: 669-680.
    • (2003) J. Veg. Sci. , vol.14 , pp. 669-680
    • Thuiller, W.1
  • 39
    • 4444254063 scopus 로고    scopus 로고
    • Relating plant traits and species distributions along bioclimatic gradients for 88 Leucadendron species in the Cape Floristic Region
    • Thuiller, W. et al. 2004. Relating plant traits and species distributions along bioclimatic gradients for 88 Leucadendron species in the Cape Floristic Region. - Ecology 85: 1688-1699.
    • (2004) Ecology , vol.85 , pp. 1688-1699
    • Thuiller, W.1
  • 40
    • 4644362931 scopus 로고    scopus 로고
    • Sensitivity of conservation planning to different approaches to using predicted species distribution data
    • Wilson, K. A. et al. 2005. Sensitivity of conservation planning to different approaches to using predicted species distribution data. - Biol. Conserv. 122: 99-112.
    • (2005) Biol. Conserv. , vol.122 , pp. 99-112
    • Wilson, K.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.