메뉴 건너뛰기




Volumn 4, Issue 6, 2010, Pages 490-509

Species distribution modeling

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE CHANGE; DECISION MAKING; ENVIRONMENTAL CHANGE; GEOGRAPHICAL DISTRIBUTION; GIS; MODELING; STATISTICAL ANALYSIS;

EID: 77957221763     PISSN: None     EISSN: 17498198     Source Type: Journal    
DOI: 10.1111/j.1749-8198.2010.00351.x     Document Type: Review
Times cited : (217)

References (90)
  • 1
    • 33750525529 scopus 로고    scopus 로고
    • Assessing the accuracy of species distribution models: prevalence, kappa and the true skills statistic (TSS)
    • Allouche O, Tsoar A, Kadmon R. Assessing the accuracy of species distribution models: prevalence, kappa and the true skills statistic (TSS). Journal of Applied Ecology 2006, 43:1223-1232. pp
    • (2006) Journal of Applied Ecology , vol.43 , pp. 1223-1232
    • Allouche, O.1    Tsoar, A.2    Kadmon, R.3
  • 3
    • 33748529602 scopus 로고    scopus 로고
    • Five (or so) challenges for species distribution modelling
    • Araújo M, Guisan A. Five (or so) challenges for species distribution modelling. Journal of Biogeography 2006, 33:1677-1688. pp
    • (2006) Journal of Biogeography , vol.33 , pp. 1677-1688
    • Araújo, M.1    Guisan, A.2
  • 4
    • 33845633261 scopus 로고    scopus 로고
    • Ensemble forecasting of species distributions
    • Araújo M, New M. Ensemble forecasting of species distributions. Trends in Ecology and Evolution 2007, 22(1):42-47. pp
    • (2007) Trends in Ecology and Evolution , vol.22 , Issue.1 , pp. 42-47
    • Araújo, M.1    New, M.2
  • 6
    • 24344458281 scopus 로고    scopus 로고
    • Reducing uncertainty in projections of extinction risk from climate change
    • Araújo M, Whittaker R, Ladle R, Erhard M. Reducing uncertainty in projections of extinction risk from climate change. Global Ecology & Biogeography 2005, 14(6):529-538. pp
    • (2005) Global Ecology & Biogeography , vol.14 , Issue.6 , pp. 529-538
    • Araújo, M.1    Whittaker, R.2    Ladle, R.3    Erhard, M.4
  • 7
    • 0002209765 scopus 로고
    • Searching for a model for use in vegetation analysis
    • Austin M P. Searching for a model for use in vegetation analysis. Vegetatio 1980, 42:11-21. pp
    • (1980) Vegetatio , vol.42 , pp. 11-21
    • Austin, M.P.1
  • 8
    • 0037202447 scopus 로고    scopus 로고
    • Spatial prediction of species distribution: an interface between ecological theory and statistical modelling
    • Austin M P. Spatial prediction of species distribution: an interface between ecological theory and statistical modelling. Ecological Modelling 2002, 157:101-118. pp
    • (2002) Ecological Modelling , vol.157 , pp. 101-118
    • Austin, M.P.1
  • 9
    • 34548407838 scopus 로고    scopus 로고
    • Analyzing spatial autocorrelation in species distributions using Gaussian and logit models
    • Carl G, Kühn I. Analyzing spatial autocorrelation in species distributions using Gaussian and logit models. Ecological Modelling 2007, 207:159-170.
    • (2007) Ecological Modelling , vol.207 , pp. 159-170
    • Carl, G.1    Kühn, I.2
  • 11
    • 37349009227 scopus 로고    scopus 로고
    • Assessing the effects of pseudo-absences on predictive distribution model performance
    • Chefaoui R, Lobo J. Assessing the effects of pseudo-absences on predictive distribution model performance. Ecological Modelling 2008, 210:478-486. pp
    • (2008) Ecological Modelling , vol.210 , pp. 478-486
    • Chefaoui, R.1    Lobo, J.2
  • 12
    • 0027870765 scopus 로고
    • A multivariate model of female black bear habitat use for a Geographic Information Systems
    • Clark J, Dunn J, Smith K. A multivariate model of female black bear habitat use for a Geographic Information Systems. Journal of Wildlife Management 1993, 57(3):519-526. pp
    • (1993) Journal of Wildlife Management , vol.57 , Issue.3 , pp. 519-526
    • Clark, J.1    Dunn, J.2    Smith, K.3
  • 13
    • 0033749212 scopus 로고    scopus 로고
    • Classification and regression trees: a powerful yet simple technique for ecological data analysis
    • De'ath G, Fabricius K E. Classification and regression trees: a powerful yet simple technique for ecological data analysis. Ecology 2000, 81(11):3178-3192. pp
    • (2000) Ecology , vol.81 , Issue.11 , pp. 3178-3192
    • De'ath, G.1    Fabricius, K.E.2
  • 14
    • 33847215823 scopus 로고    scopus 로고
    • Effects of incorporating spatial autocorrelation into the analysis of species distribution data
    • Dormann C. Effects of incorporating spatial autocorrelation into the analysis of species distribution data. Global Ecology and Biogeography 2007, 16:129-138. pp
    • (2007) Global Ecology and Biogeography , vol.16 , pp. 129-138
    • Dormann, C.1
  • 15
    • 35848930781 scopus 로고    scopus 로고
    • Methods to account for spatial autocorrelation in the analysis of species distributional data: a review
    • Dormann C. Methods to account for spatial autocorrelation in the analysis of species distributional data: a review. Ecography 2007, 30:609-628. pp
    • (2007) Ecography , vol.30 , pp. 609-628
    • Dormann, C.1
  • 16
    • 18444415493 scopus 로고    scopus 로고
    • Model-based stratifications for enhancing the detection of rare ecological events
    • Edwards T. Model-based stratifications for enhancing the detection of rare ecological events. Ecology 2005, 86:1081-1090. pp
    • (2005) Ecology , vol.86 , pp. 1081-1090
    • Edwards, T.1
  • 17
    • 73949141293 scopus 로고    scopus 로고
    • Species distribution models: ecological explanation and prediction across space and time
    • Elith J, Leathwick J. Species distribution models: ecological explanation and prediction across space and time. Annual Review of Ecology, Evolution, and Systematics 2009, 40:677-697. pp
    • (2009) Annual Review of Ecology, Evolution, and Systematics , vol.40 , pp. 677-697
    • Elith, J.1    Leathwick, J.2
  • 18
    • 33645917058 scopus 로고    scopus 로고
    • Novel methods improve prediction of species' distributions from occurrence data
    • Elith J, Graham C, Anderson R, Group N W. Novel methods improve prediction of species' distributions from occurrence data. Ecography 2006, 29(2):129-151. pp
    • (2006) Ecography , vol.29 , Issue.2 , pp. 129-151
    • Elith, J.1    Graham, C.2    Anderson, R.3    Group, N.W.4
  • 19
    • 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, Guisan A, Rechsteiner L. An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data. Journal of Applied Ecology 2004, 41(2):263-274. pp
    • (2004) Journal of Applied Ecology , vol.41 , Issue.2 , pp. 263-274
    • Engler, R.1    Guisan, A.2    Rechsteiner, L.3
  • 20
    • 0036934018 scopus 로고    scopus 로고
    • Extended statistical approaches to modelling spatial pattern in biodiversity in north-east New South Wales. II. Community- level modelling
    • Ferrier S, Drielsma M, Manion G, Watson G. Extended statistical approaches to modelling spatial pattern in biodiversity in north-east New South Wales. II. Community- level modelling. Biodiversity and Conservation 2002, 11:2309-2338. pp
    • (2002) Biodiversity and Conservation , vol.11 , pp. 2309-2338
    • Ferrier, S.1    Drielsma, M.2    Manion, G.3    Watson, G.4
  • 21
    • 0030953391 scopus 로고    scopus 로고
    • A review of methods for the assessment of prediction errors in conservation presence/absence models
    • Fielding A H, Bell J F. A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservation 1997, 24(1):38-49. pp
    • (1997) Environmental Conservation , vol.24 , Issue.1 , pp. 38-49
    • Fielding, A.H.1    Bell, J.F.2
  • 22
    • 0029478629 scopus 로고
    • Predictive vegetation mapping: geographic modeling of biospatial patterns in relation to environmental gradients
    • Franklin J. Predictive vegetation mapping: geographic modeling of biospatial patterns in relation to environmental gradients. Progress in Physical Geography 1995, 19:474-499. pp
    • (1995) Progress in Physical Geography , vol.19 , pp. 474-499
    • Franklin, J.1
  • 25
    • 0000432177 scopus 로고    scopus 로고
    • Stratified sampling for field survey of environmental gradients in the Mojave Desert Ecoregion
    • eds, Dordrecht, The Netherlands, Kluwer Academic Publishers
    • Franklin J. Stratified sampling for field survey of environmental gradients in the Mojave Desert Ecoregion. GIS and remote sensing applications in biogeography and ecology 2001, 229-253. Millington AWalsh SOsborne P. In, eds, Dordrecht, The Netherlands, Kluwer Academic Publishers, pp
    • (2001) GIS and remote sensing applications in biogeography and ecology , pp. 229-253
    • Franklin, J.1
  • 26
    • 57349083292 scopus 로고    scopus 로고
    • Effects of species rarity on the accuracy of species distribution models for reptiles and amphibians in southern California
    • Franklin J. Effects of species rarity on the accuracy of species distribution models for reptiles and amphibians in southern California. Diversity and Distributions 2009, 15:167-177. pp
    • (2009) Diversity and Distributions , vol.15 , pp. 167-177
    • Franklin, J.1
  • 27
    • 48149105984 scopus 로고    scopus 로고
    • A comparison of the performance of threshold crietria for binary classification in terms of predicted prevalence
    • Freeman E, Moisen G. A comparison of the performance of threshold crietria for binary classification in terms of predicted prevalence. Ecological Modelling 2008, 217:48-58. pp
    • (2008) Ecological Modelling , vol.217 , pp. 48-58
    • Freeman, E.1    Moisen, G.2
  • 28
    • 22744446873 scopus 로고    scopus 로고
    • Thirty years of analysing and modelling avian habitat relationships using satellite imagery: a review
    • Gottschalk T, Huettmann F, Ehlers M. Thirty years of analysing and modelling avian habitat relationships using satellite imagery: a review. International Journal of Remote Sensing 2005, 26:2631-2656. pp
    • (2005) International Journal of Remote Sensing , vol.26 , pp. 2631-2656
    • Gottschalk, T.1    Huettmann, F.2    Ehlers, M.3
  • 29
    • 24344493920 scopus 로고    scopus 로고
    • Predicting species distribution: offering more than simple habitat models
    • Guisan A, Thuiller W. Predicting species distribution: offering more than simple habitat models. Ecology Letters 2005, 8:993-1009. pp
    • (2005) Ecology Letters , vol.8 , pp. 993-1009
    • Guisan, A.1    Thuiller, W.2
  • 30
    • 0034610199 scopus 로고    scopus 로고
    • Predictive habitat distribution models in ecology
    • Guisan A, Zimmermann N. Predictive habitat distribution models in ecology. Ecological Modelling 2000, 135:147-186. pp
    • (2000) Ecological Modelling , vol.135 , pp. 147-186
    • Guisan, A.1    Zimmermann, N.2
  • 31
    • 33646540398 scopus 로고    scopus 로고
    • Making better biogeographical predictions of species' distributions
    • Guisan A. Making better biogeographical predictions of species' distributions. Journal of Applied Ecology 2006, 43:386-392. pp
    • (2006) Journal of Applied Ecology , vol.43 , pp. 386-392
    • Guisan, A.1
  • 33
    • 33748537148 scopus 로고    scopus 로고
    • Methods and uncertainties in bioclimatic envelope modelling under climate change
    • Heikkinen R. Methods and uncertainties in bioclimatic envelope modelling under climate change. Progress in Physical Geography 2006, 30(6):751-777. pp
    • (2006) Progress in Physical Geography , vol.30 , Issue.6 , pp. 751-777
    • Heikkinen, R.1
  • 34
    • 35348859799 scopus 로고    scopus 로고
    • Biotic interactions improve prediction of boreal bird distributions at macro-scales
    • Heikkinen R. Biotic interactions improve prediction of boreal bird distributions at macro-scales. Global Ecology & Biogeography 2007, 16:754-763. pp
    • (2007) Global Ecology & Biogeography , vol.16 , pp. 754-763
    • Heikkinen, R.1
  • 35
    • 29544443445 scopus 로고    scopus 로고
    • Very high resolution interpolated climate surfaces for global land areas
    • Hijmans R. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 2005, 25:1965-1978. pp
    • (2005) International Journal of Climatology , vol.25 , pp. 1965-1978
    • Hijmans, R.1
  • 36
    • 3342895403 scopus 로고    scopus 로고
    • Computer tools for spatial analysis of plant genetic resource dataL 1.DIVA-GIS
    • Hijmans R, Guarino L, Cruz M, Rojas E. Computer tools for spatial analysis of plant genetic resource dataL 1.DIVA-GIS. Plant Genetic Resources Newsletter 2001, 127:15-19. pp
    • (2001) Plant Genetic Resources Newsletter , vol.127 , pp. 15-19
    • Hijmans, R.1    Guarino, L.2    Cruz, M.3    Rojas, E.4
  • 37
    • 50649100845 scopus 로고    scopus 로고
    • Habitat suitability modelling and niche theory
    • Hirzel A, Le Lay G. Habitat suitability modelling and niche theory. Journal of Applied Ecology 2008, 45:1372-1381. pp
    • (2008) Journal of Applied Ecology , vol.45 , pp. 1372-1381
    • Hirzel, A.1    Le Lay, G.2
  • 38
    • 0035891825 scopus 로고    scopus 로고
    • Assessing habitat-suitability models with a virtual species
    • Hirzel A, Helfer V, Metral F. Assessing habitat-suitability models with a virtual species. Ecological Modelling 2001, 145:111-121. pp
    • (2001) Ecological Modelling , vol.145 , pp. 111-121
    • Hirzel, A.1    Helfer, V.2    Metral, F.3
  • 39
    • 0345189809 scopus 로고
    • Determination of world plant formations from simple climatic data
    • Holdridge L. Determination of world plant formations from simple climatic data. Science 1947, 105:367-368. pp
    • (1947) Science , vol.105 , pp. 367-368
    • Holdridge, L.1
  • 40
    • 0003730427 scopus 로고
    • San Jose, Costa Rica, Tropical Science Center
    • Holdridge L. Life Zone Ecology 1967, San Jose, Costa Rica, Tropical Science Center
    • (1967) Life Zone Ecology
    • Holdridge, L.1
  • 42
    • 0037200119 scopus 로고    scopus 로고
    • Geographic range size and determinants of avian species richness
    • Jetz W, Rahbek C. Geographic range size and determinants of avian species richness. Science 2002, 297:1548-1550. pp
    • (2002) Science , vol.297 , pp. 1548-1550
    • Jetz, W.1    Rahbek, C.2
  • 43
    • 54049102026 scopus 로고    scopus 로고
    • Not as good as they seem: the importance of concepts in species distribution modelling
    • Jiménez-Valverde A, Lobo J, Hortal J. Not as good as they seem: the importance of concepts in species distribution modelling. Diversity and Distributions 2008, 14:885-890. pp
    • (2008) Diversity and Distributions , vol.14 , pp. 885-890
    • Jiménez-Valverde, A.1    Lobo, J.2    Hortal, J.3
  • 44
    • 33749498068 scopus 로고    scopus 로고
    • Habitat, environment and niche: what are we modelling?
    • Kearney M. Habitat, environment and niche: what are we modelling? Oikos 2006, 115(1):186-191. pp
    • (2006) Oikos , vol.115 , Issue.1 , pp. 186-191
    • Kearney, M.1
  • 45
    • 0037500103 scopus 로고    scopus 로고
    • From species to space: ecological applications for remote sensing
    • Kerr J, Ostrovsky D. From species to space: ecological applications for remote sensing. Trends in Ecology and Evolution 2003, 16:299-305. pp
    • (2003) Trends in Ecology and Evolution , vol.16 , pp. 299-305
    • Kerr, J.1    Ostrovsky, D.2
  • 46
    • 40049098103 scopus 로고    scopus 로고
    • Integrating GIS-based environmental data into evolutionary biology
    • Kozak K, Graham C, Wiens J. Integrating GIS-based environmental data into evolutionary biology. Trends in Ecology and Evolution 2008, 23(3):141-148. pp
    • (2008) Trends in Ecology and Evolution , vol.23 , Issue.3 , pp. 141-148
    • Kozak, K.1    Graham, C.2    Wiens, J.3
  • 47
    • 33846039745 scopus 로고    scopus 로고
    • Incorporating spatial autocorrelation may invert observed patterns
    • Kühn I. Incorporating spatial autocorrelation may invert observed patterns. Diversity and Distributions 2007, 13:66-69. pp
    • (2007) Diversity and Distributions , vol.13 , pp. 66-69
    • Kühn, I.1
  • 48
    • 0032451492 scopus 로고    scopus 로고
    • Are New Zealand's Nothofagus species in equilibrium with their environment?
    • Leathwick J. Are New Zealand's Nothofagus species in equilibrium with their environment? Journal of Vegetation Science 1998, 9:719-732. pp
    • (1998) Journal of Vegetation Science , vol.9 , pp. 719-732
    • Leathwick, J.1
  • 49
    • 0034803153 scopus 로고    scopus 로고
    • Competitive interactions between tree species in New Zealand's old-growth indigenous forests
    • Leathwick J, Austin M P. Competitive interactions between tree species in New Zealand's old-growth indigenous forests. Ecology 2001, 82:2560-2573. pp
    • (2001) Ecology , vol.82 , pp. 2560-2573
    • Leathwick, J.1    Austin, M.P.2
  • 50
    • 33645954864 scopus 로고    scopus 로고
    • Using multivariate adaptive regression splines to predict the distributions of New Zealand's freshwater diadromous fish
    • Leathwick J. Using multivariate adaptive regression splines to predict the distributions of New Zealand's freshwater diadromous fish. Freshwater Biology 2005, 50:2034-2052. pp
    • (2005) Freshwater Biology , vol.50 , pp. 2034-2052
    • Leathwick, J.1
  • 51
    • 0037202453 scopus 로고    scopus 로고
    • GRASP: generalized regression analysis and spatial prediction
    • Lehmann A, Overton J M, Leathwick J R. GRASP: generalized regression analysis and spatial prediction. Ecological Modelling 2002, 157:189-207. pp
    • (2002) Ecological Modelling , vol.157 , pp. 189-207
    • Lehmann, A.1    Overton, J.M.2    Leathwick, J.R.3
  • 52
    • 36248964117 scopus 로고    scopus 로고
    • Incorporating anthropogenic variables into a species distribution model to map gypsy moth risk
    • Lippitt C. Incorporating anthropogenic variables into a species distribution model to map gypsy moth risk. Ecological Modelling 2007, 210(3):339-350. pp
    • (2007) Ecological Modelling , vol.210 , Issue.3 , pp. 339-350
    • Lippitt, C.1
  • 53
    • 20444488428 scopus 로고    scopus 로고
    • Selecting thresholds of occurrence in the prediction of species distributions
    • Liu C, Berry P, Dawson T, Pearson R. Selecting thresholds of occurrence in the prediction of species distributions. Ecography 2005, 28:385-393. pp
    • (2005) Ecography , vol.28 , pp. 385-393
    • Liu, C.1    Berry, P.2    Dawson, T.3    Pearson, R.4
  • 54
    • 38949161848 scopus 로고    scopus 로고
    • AUC: a misleading measure of the performance of predictive distribution models
    • Lobo J, Jiménez-Valverde A, Real R. AUC: a misleading measure of the performance of predictive distribution models. Global Ecology & Biogeography 2008, 17:145-151. pp
    • (2008) Global Ecology & Biogeography , vol.17 , pp. 145-151
    • Lobo, J.1    Jiménez-Valverde, A.2    Real, R.3
  • 55
    • 0034770214 scopus 로고    scopus 로고
    • Evaluating presence-absence models in ecology: the need to account for prevalence
    • Manel S, Williams H C, Ormerod S J. Evaluating presence-absence models in ecology: the need to account for prevalence. Journal of Applied Ecology 2001, 38:921-931. pp
    • (2001) Journal of Applied Ecology , vol.38 , pp. 921-931
    • Manel, S.1    Williams, H.C.2    Ormerod, S.J.3
  • 56
    • 57349127473 scopus 로고    scopus 로고
    • Evaluation of consensus methods in predictive species distribution modelling
    • Marmion M. Evaluation of consensus methods in predictive species distribution modelling. Diversity and Distributions 2009, 15:59-69. pp
    • (2009) Diversity and Distributions , vol.15 , pp. 59-69
    • Marmion, M.1
  • 57
    • 34548026556 scopus 로고    scopus 로고
    • Type and spatial structure of distribution data and the perceived determinants of geographical gradients in ecology: the species richness of African birds
    • McPherson J, Jetz W. Type and spatial structure of distribution data and the perceived determinants of geographical gradients in ecology: the species richness of African birds. Global Ecology & Biogeography 2007, 16:657-667. pp
    • (2007) Global Ecology & Biogeography , vol.16 , pp. 657-667
    • McPherson, J.1    Jetz, W.2
  • 58
    • 5344259743 scopus 로고    scopus 로고
    • The effects of species' range sizes on the accuracy of distribution models: ecological phenomenon or statistical artefact?
    • McPherson J, Jetz W, Rogers D. The effects of species' range sizes on the accuracy of distribution models: ecological phenomenon or statistical artefact? Journal of Applied Ecology 2004, 41:811-823. pp
    • (2004) Journal of Applied Ecology , vol.41 , pp. 811-823
    • McPherson, J.1    Jetz, W.2    Rogers, D.3
  • 59
    • 0037202441 scopus 로고    scopus 로고
    • Modeling the distribution of vegetation alliances using generalized linear models and classification trees with spatial dependence
    • Miller J, Franklin J. Modeling the distribution of vegetation alliances using generalized linear models and classification trees with spatial dependence. Ecological Modelling 2002, 157:27-47. pp
    • (2002) Ecological Modelling , vol.157 , pp. 27-47
    • Miller, J.1    Franklin, J.2
  • 60
    • 33750718166 scopus 로고    scopus 로고
    • Explicitly incorporating spatial dependence in predictive vegetation models in the form of explanatory variables: A Mojave Desert case study
    • Miller J A, Franklin J. Explicitly incorporating spatial dependence in predictive vegetation models in the form of explanatory variables: A Mojave Desert case study. Journal of Geographical Systems 2006, 8:411-435. pp
    • (2006) Journal of Geographical Systems , vol.8 , pp. 411-435
    • Miller, J.A.1    Franklin, J.2
  • 61
    • 77957240942 scopus 로고    scopus 로고
    • Using GIS and remote sensing for ecological modeling and monitoring
    • ed, Chichester, Wiley
    • Miller J A, Rogan J. Using GIS and remote sensing for ecological modeling and monitoring. Integration of GIS and remote sensing 2007, 233-268. Mesev V, In, ed, Chichester, Wiley, pp
    • (2007) Integration of GIS and remote sensing , pp. 233-268
    • Miller, J.A.1    Rogan, J.2
  • 62
    • 33847632066 scopus 로고    scopus 로고
    • Incorporating spatial dependence in predictive vegetation models
    • Miller J, Franklin J, Aspinall R. Incorporating spatial dependence in predictive vegetation models. Ecological Modelling 2007, 202:225-242. pp
    • (2007) Ecological Modelling , vol.202 , pp. 225-242
    • Miller, J.1    Franklin, J.2    Aspinall, R.3
  • 63
    • 0034998896 scopus 로고    scopus 로고
    • Modelling landscape-scale habitat use using GIS and remote sensing: a case study with great bustards
    • Osborne P E, Alonso J C, Bryant R G. Modelling landscape-scale habitat use using GIS and remote sensing: a case study with great bustards. Journal of Applied Ecology 2001, 38:458-471. pp
    • (2001) Journal of Applied Ecology , vol.38 , pp. 458-471
    • Osborne, P.E.1    Alonso, J.C.2    Bryant, R.G.3
  • 64
    • 3042679179 scopus 로고    scopus 로고
    • Evaluating alternative data sets for ecological niche models of birds in the Andes
    • Parra J, Graham C, Freile J. Evaluating alternative data sets for ecological niche models of birds in the Andes. Ecography 2004, 27:350-360. pp
    • (2004) Ecography , vol.27 , pp. 350-360
    • Parra, J.1    Graham, C.2    Freile, J.3
  • 65
    • 0141856572 scopus 로고    scopus 로고
    • Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful?
    • Pearson R, Dawson T. Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful? Global Ecology & Biogeography 2003, 12:361-371. pp
    • (2003) Global Ecology & Biogeography , vol.12 , pp. 361-371
    • Pearson, R.1    Dawson, T.2
  • 66
    • 3042532648 scopus 로고    scopus 로고
    • Modelling species distributions in Britain: a hierarchical integration of climate and land-cover data
    • Pearson R, Dawson T, Liu C. Modelling species distributions in Britain: a hierarchical integration of climate and land-cover data. Ecography 2004, 27:285-298. pp
    • (2004) Ecography , vol.27 , pp. 285-298
    • Pearson, R.1    Dawson, T.2    Liu, C.3
  • 67
    • 33845604583 scopus 로고    scopus 로고
    • Predicting species distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar
    • Pearson R, Raxworthy C, Nakamura M, Peterson A T. Predicting species distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar. Journal of Biogeography 2007, 34:102-117. pp
    • (2007) Journal of Biogeography , vol.34 , pp. 102-117
    • Pearson, R.1    Raxworthy, C.2    Nakamura, M.3    Peterson, A.T.4
  • 68
    • 33845423949 scopus 로고    scopus 로고
    • Ecological niche modeling and spatial patterns of disease transmission
    • Peterson A T. Ecological niche modeling and spatial patterns of disease transmission. Emerging Infectious Diseases 2006, 12(12):1822-1826. pp
    • (2006) Emerging Infectious Diseases , vol.12 , Issue.12 , pp. 1822-1826
    • Peterson, A.T.1
  • 69
    • 40649115205 scopus 로고    scopus 로고
    • Rethinking receiver operating characteristic analysis applications in ecological niche modeling
    • Peterson A T, Papes M, Soberón J. Rethinking receiver operating characteristic analysis applications in ecological niche modeling. Ecological Modelling 2008, 213:1161-1165. pp
    • (2008) Ecological Modelling , vol.213 , pp. 1161-1165
    • Peterson, A.T.1    Papes, M.2    Soberón, J.3
  • 70
    • 27944446350 scopus 로고    scopus 로고
    • Maximum entropy modeling of species geographic distributions
    • Phillips S, Anderson R, Schapire R. Maximum entropy modeling of species geographic distributions. Ecological Modelling 2006, 190:231-259. pp
    • (2006) Ecological Modelling , vol.190 , pp. 231-259
    • Phillips, S.1    Anderson, R.2    Schapire, R.3
  • 71
    • 63849333773 scopus 로고    scopus 로고
    • Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data
    • Phillips S. Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data. Ecological Applications 2009, 19(1):181-197. pp
    • (2009) Ecological Applications , vol.19 , Issue.1 , pp. 181-197
    • Phillips, S.1
  • 72
    • 33645330972 scopus 로고    scopus 로고
    • Newer classification and regression techniques: bagging and random forests for ecological prediction
    • Prasad A, Iverson L, Liaw A. Newer classification and regression techniques: bagging and random forests for ecological prediction. Ecosystems 2006, 9:181-199. pp
    • (2006) Ecosystems , vol.9 , pp. 181-199
    • Prasad, A.1    Iverson, L.2    Liaw, A.3
  • 73
    • 0033907676 scopus 로고    scopus 로고
    • On the relationship between niche and distribution
    • Pulliam H R. On the relationship between niche and distribution. Ecology Letters 2000, 3:349-361. pp
    • (2000) Ecology Letters , vol.3 , pp. 349-361
    • Pulliam, H.R.1
  • 74
    • 33745589229 scopus 로고    scopus 로고
    • Towards an integrated computational tool for spatial analysis in macroecology and biogeography
    • Rangel T F L, Diniz-Filho J, Bini L. Towards an integrated computational tool for spatial analysis in macroecology and biogeography. Global Ecology & Biogeography 2006, 15(4):321-327. pp
    • (2006) Global Ecology & Biogeography , vol.15 , Issue.4 , pp. 321-327
    • Rangel, T.F.L.1    Diniz-Filho, J.2    Bini, L.3
  • 75
    • 34247380265 scopus 로고    scopus 로고
    • Home away from home - objective mapping of high-risk source areas for plant introductions
    • Richardson D, Thuiller W. Home away from home - objective mapping of high-risk source areas for plant introductions. Diversity and Distributions 2007, 13:299-312. pp
    • (2007) Diversity and Distributions , vol.13 , pp. 299-312
    • Richardson, D.1    Thuiller, W.2
  • 76
    • 1242298844 scopus 로고    scopus 로고
    • Mapping fuels and fire regimes using remote sensing, ecosystem simulation, and gradient modeling
    • Rollins M, Keane R, Parsons R. Mapping fuels and fire regimes using remote sensing, ecosystem simulation, and gradient modeling. Ecological Applications 2004, 14(1):75-95. pp
    • (2004) Ecological Applications , vol.14 , Issue.1 , pp. 75-95
    • Rollins, M.1    Keane, R.2    Parsons, R.3
  • 78
    • 0027387364 scopus 로고
    • Gap analysis: a geographic approach to protection of biological diversity
    • Scott J. Gap analysis: a geographic approach to protection of biological diversity. Wildlife Monographs 1993, 123:1-41. pp
    • (1993) Wildlife Monographs , vol.123 , pp. 1-41
    • Scott, J.1
  • 79
    • 4644223644 scopus 로고    scopus 로고
    • An evaluation of methods for modelling species distributions
    • Segurado P, Araújo M. An evaluation of methods for modelling species distributions. Journal of Biogeography 2004, 31:1555-1568. pp
    • (2004) Journal of Biogeography , vol.31 , pp. 1555-1568
    • Segurado, P.1    Araújo, M.2
  • 80
    • 35848961225 scopus 로고    scopus 로고
    • Grinnellian and Eltonian niches and geographic distributions of species
    • Soberón J. Grinnellian and Eltonian niches and geographic distributions of species. Ecology Letters 2007, 10:1115-1123. pp
    • (2007) Ecology Letters , vol.10 , pp. 1115-1123
    • Soberón, J.1
  • 81
  • 83
    • 1542289824 scopus 로고    scopus 로고
    • Do we need land-cover data to model species distributions in Europe?
    • Thuiller W, Araújo M, Lavorel S. Do we need land-cover data to model species distributions in Europe? Journal of Biogeography 2004, 31:353-361. pp
    • (2004) Journal of Biogeography , vol.31 , pp. 353-361
    • Thuiller, W.1    Araújo, M.2    Lavorel, S.3
  • 84
    • 38849199261 scopus 로고    scopus 로고
    • Predicting global change impacts on plant species' distributions: future challenges
    • Thuiller W. Predicting global change impacts on plant species' distributions: future challenges. Perspectives in Plant Ecology, Evolution, and Systematics 2008, 9:137-152. pp
    • (2008) Perspectives in Plant Ecology, Evolution, and Systematics , vol.9 , pp. 137-152
    • Thuiller, W.1
  • 85
    • 64649098806 scopus 로고    scopus 로고
    • BIOMOD - a platform for ensemble forecasting of species distributions
    • Thuiller W, L B, Engler R, Araújo M. BIOMOD - a platform for ensemble forecasting of species distributions. Ecography 2009, 32:369-373. pp
    • (2009) Ecography , vol.32 , pp. 369-373
    • Thuiller, W.1    Engler, R.2    Araújo, M.3
  • 86
    • 34250322230 scopus 로고    scopus 로고
    • A comparative evaluation of presence-only methods for modelling species distribution
    • Tsoar A. A comparative evaluation of presence-only methods for modelling species distribution. Diversity and Distributions 2007, 13:397-405. pp
    • (2007) Diversity and Distributions , vol.13 , pp. 397-405
    • Tsoar, A.1
  • 87
    • 10344232011 scopus 로고    scopus 로고
    • Effect of error in the DEM on environmental variables for predictive vegetation modelling
    • Van Niel K, Laffan S, Lees B. Effect of error in the DEM on environmental variables for predictive vegetation modelling. Journal of Vegetation Science 2004, 15:747-756. pp
    • (2004) Journal of Vegetation Science , vol.15 , pp. 747-756
    • Van Niel, K.1    Laffan, S.2    Lees, B.3
  • 88
    • 0346735386 scopus 로고    scopus 로고
    • Improving the quality of distribution models for conservation by addressing shortcomings in the field collection of training data
    • Vaughan I P, Ormerod S J. Improving the quality of distribution models for conservation by addressing shortcomings in the field collection of training data. Conservation Biology 2003, 17(6):1601-1611. pp
    • (2003) Conservation Biology , vol.17 , Issue.6 , pp. 1601-1611
    • Vaughan, I.P.1    Ormerod, S.J.2
  • 89
    • 8144229164 scopus 로고    scopus 로고
    • Precision and bias of methods for estimating point survey detection probabilities
    • Wintle B, McCarthy M, Parris K, Burgman M. Precision and bias of methods for estimating point survey detection probabilities. Ecological Applications 2004, 14:703-712. pp
    • (2004) Ecological Applications , vol.14 , pp. 703-712
    • Wintle, B.1    McCarthy, M.2    Parris, K.3    Burgman, M.4
  • 90
    • 34548421188 scopus 로고    scopus 로고
    • Remote sensing-based predictors improve distribution of rare, early successional and broadleaf tree species in Utah
    • Zimmermann N. Remote sensing-based predictors improve distribution of rare, early successional and broadleaf tree species in Utah. Journal of Applied Ecology 2007, 44:1057-1067. pp
    • (2007) Journal of Applied Ecology , vol.44 , pp. 1057-1067
    • Zimmermann, N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.