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Volumn 32, Issue 6, 2009, Pages 907-918

Differences in spatial predictions among species distribution modeling methods vary with species traits and environmental predictors

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE VARIATION; CONSERVATION PLANNING; CORRELATION; DECISION MAKING; ENVIRONMENTAL MODELING; FOREST MANAGEMENT; PLANT; SPATIAL DISTRIBUTION; SPECIES OCCURRENCE;

EID: 72049101205     PISSN: 09067590     EISSN: 16000587     Source Type: Journal    
DOI: 10.1111/j.1600-0587.2009.05883.x     Document Type: Article
Times cited : (113)

References (73)
  • 1
    • 49749125937 scopus 로고    scopus 로고
    • Favourability functions versus probability of presence: Advantages and misuses
    • Albert, C. H. Thuiller, W. 2008. Favourability functions versus probability of presence: advantages and misuses Ecography 31 : 417 422.
    • (2008) Ecography , vol.31 , pp. 417-422
    • Albert, C.H.1    Thuiller, W.2
  • 2
    • 33845633261 scopus 로고    scopus 로고
    • Ensemble forecasting of species distributions
    • Araújo, M. B. New, M. 2007. Ensemble forecasting of species distributions Trends Ecol. Evol. 22 : 42 47.
    • (2007) Trends Ecol. Evol. , vol.22 , pp. 42-47
    • Araújo, M.B.1    New, M.2
  • 3
    • 24344464067 scopus 로고    scopus 로고
    • Validation of species-climate impact models under climate change
    • Araújo, M. B. et al. 2005a. Validation of species-climate impact models under climate change Global Change Biol. 11 : 1504 1513.
    • (2005) Global Change Biol. , vol.11 , pp. 1504-1513
    • Araújo, M.B.1
  • 4
    • 12444275667 scopus 로고    scopus 로고
    • Downscaling European species atlas distributions to a finer resolution: Implications for conservation planning
    • Araújo, M. B. et al. 2005b. Downscaling European species atlas distributions to a finer resolution: implications for conservation planning Global Ecol. Biogeogr. 14 : 17 30.
    • (2005) Global Ecol. Biogeogr. , vol.14 , pp. 17-30
    • Araújo, M.B.1
  • 5
    • 0037202447 scopus 로고    scopus 로고
    • Spatial prediction of species distribution: An interface between ecological theory and statistical modelling
    • Austin, M. P. 2002. Spatial prediction of species distribution: an interface between ecological theory and statistical modelling Ecol. Model. 157 : 101 118.
    • (2002) Ecol. Model. , vol.157 , pp. 101-118
    • Austin, M.P.1
  • 6
    • 0024928332 scopus 로고
    • A new model for the continuum concept
    • Austin, M. P. Smith, T. M. 1989. A new model for the continuum concept Vegetatio 83 : 35 47.
    • (1989) Vegetatio , vol.83 , pp. 35-47
    • Austin, M.P.1    Smith, T.M.2
  • 7
    • 33749998362 scopus 로고    scopus 로고
    • Evaluation of statistical models used for predicting plant species distributions: Role of artificial data and theory
    • Austin, M. P. et al. 2006. Evaluation of statistical models used for predicting plant species distributions: role of artificial data and theory Ecol. Model. 199 : 197 216.
    • (2006) Ecol. Model. , vol.199 , pp. 197-216
    • Austin, M.P.1
  • 8
    • 33746317317 scopus 로고    scopus 로고
    • Predicting habitat suitability with machine learning models: The potential area of Pinus sylvestris L. in the Iberian Peninsula
    • Barbour, M. Univ. of California Press
    • Barbour, M. Terrestrial vegetation of California. Univ. of California Press 2007 et al. 2006. Predicting habitat suitability with machine learning models: the potential area of Pinus sylvestris L. in the Iberian Peninsula Ecol. Model. 197 : 383 393.
    • (2007) Ecol. Model. , vol.197 , pp. 383-393
  • 9
    • 0003043818 scopus 로고    scopus 로고
    • Determining alternative models for vegetation response analysis: A non-parametric approach
    • Bio, A. et al. 1998. Determining alternative models for vegetation response analysis: a non-parametric approach J. Veg. Sci. 9 : 5 16.
    • (1998) J. Veg. Sci. , vol.9 , pp. 5-16
    • Bio, A.1
  • 10
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman, L. 2001. Random forests Mach. Learn. 45 : 15 32.
    • (2001) Mach. Learn. , vol.45 , pp. 15-32
    • Breiman, L.1
  • 12
    • 40549143397 scopus 로고    scopus 로고
    • YaImpute: An R package for kNN imputation
    • Crookston, N. L. Finley, A. O. 2008. yaImpute: an R package for kNN imputation J. Stat. Soft. 23 : 1 16.
    • (2008) J. Stat. Soft. , vol.23 , pp. 1-16
    • Crookston, N.L.1    Finley, A.O.2
  • 13
    • 38849197019 scopus 로고    scopus 로고
    • Application of common predictive habitat techniques for post-border weed risk management
    • Crossman, N. D. Bass, D. A. 2008. Application of common predictive habitat techniques for post-border weed risk management Divers. Distrib. 14 : 213 224.
    • (2008) Divers. Distrib. , vol.14 , pp. 213-224
    • Crossman, N.D.1    Bass, D.A.2
  • 14
    • 38449114584 scopus 로고    scopus 로고
    • Random forests for classification in ecology
    • Cutler, D. R. et al. 2007. Random forests for classification in ecology Ecology 88 : 2783 2792.
    • (2007) Ecology , vol.88 , pp. 2783-2792
    • Cutler, D.R.1
  • 15
    • 0033749212 scopus 로고    scopus 로고
    • Classification and regression trees: A powerful yet simple technique for ecological data analysis
    • De'ath, G. Fabricius, K. E. 2000. Classification and regression trees: a powerful yet simple technique for ecological data analysis Ecology 81 : 3178 3192.
    • (2000) Ecology , vol.81 , pp. 3178-3192
    • De'Ath, G.1    Fabricius, K.E.2
  • 16
    • 33646552697 scopus 로고    scopus 로고
    • Modelling ecological niches with support vector machines
    • Drake, J. M. et al. 2006. Modelling ecological niches with support vector machines J. Appl. Ecol. 43 : 424 432.
    • (2006) J. Appl. Ecol. , vol.43 , pp. 424-432
    • Drake, J.M.1
  • 18
    • 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
  • 19
    • 0030953391 scopus 로고    scopus 로고
    • A review of methods for the assessment of prediction errors in conservation presence/absence models
    • Fielding, A. Bell, J. 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.1    Bell, J.2
  • 20
    • 0029478629 scopus 로고
    • Predictive vegetation mapping: Geographic modeling of biospatial patterns in relation to environmental gradients
    • Franklin, J. 1995. Predictive vegetation mapping: geographic modeling of biospatial patterns in relation to environmental gradients Prog. Phys. Geogr. 19 : 474 499.
    • (1995) Prog. Phys. Geogr. , vol.19 , pp. 474-499
    • Franklin, J.1
  • 21
    • 0032467477 scopus 로고    scopus 로고
    • Predicting the distribution of shrub species in southern California from climate and terrain-derived variables
    • Franklin, J. 1998. Predicting the distribution of shrub species in southern California from climate and terrain-derived variables J. Veg. Sci. 9 : 733 748.
    • (1998) J. Veg. Sci. , vol.9 , pp. 733-748
    • Franklin, J.1
  • 22
    • 0000432177 scopus 로고    scopus 로고
    • Stratified sampling for field survey of environmental gradients in the Mojave Desert Ecoregion
    • Millington, A. Kluwer
    • Franklin, J. et al. 2001. Stratified sampling for field survey of environmental gradients in the Mojave Desert Ecoregion Millington, A. GIS and remote sensing applications in biogeography and ecology. Kluwer 229 253.
    • (2001) GIS and Remote Sensing Applications in Biogeography and Ecology , pp. 229-253
    • Franklin, J.1
  • 23
    • 48149105984 scopus 로고    scopus 로고
    • A comparison of the performance of threshold criteria for binary classification in terms of predicted prevalence
    • Freeman, E. A. Moisen, G. G. 2008. A comparison of the performance of threshold criteria for binary classification in terms of predicted prevalence Ecol. Model. 217 : 48 58.
    • (2008) Ecol. Model. , vol.217 , pp. 48-58
    • Freeman, E.A.1    Moisen, G.G.2
  • 24
    • 0034610199 scopus 로고    scopus 로고
    • Predictive habitat distribution models in ecology
    • Guisan, A. Zimmermann, N. E. 2000. Predictive habitat distribution models in ecology Ecol. Model. 135 : 147 186.
    • (2000) Ecol. Model. , vol.135 , pp. 147-186
    • Guisan, A.1    Zimmermann, N.E.2
  • 25
    • 0037202446 scopus 로고    scopus 로고
    • Generalized linear and generalized additive models in studies of species distributions: Setting the scene
    • Guisan, A. et al. 2002. Generalized linear and generalized additive models in studies of species distributions: setting the scene Ecol. Model. 157 : 89 100.
    • (2002) Ecol. Model. , vol.157 , pp. 89-100
    • Guisan, A.1
  • 26
    • 33646540398 scopus 로고    scopus 로고
    • Making better biogeographical predictions of species' distributions
    • Guisan, A. et al. 2006. Making better biogeographical predictions of species' distributions J. Appl. Ecol. 43 : 386 392.
    • (2006) J. Appl. Ecol. , vol.43 , pp. 386-392
    • Guisan, A.1
  • 27
    • 40349093056 scopus 로고    scopus 로고
    • What matters for predicting the occurrences of trees: Techniques, data, or species' characteristics?
    • Guisan, A. et al. 2007. What matters for predicting the occurrences of trees: techniques, data, or species' characteristics? Ecol. Monogr. 77 : 615 630.
    • (2007) Ecol. Monogr. , vol.77 , pp. 615-630
    • Guisan, A.1
  • 28
    • 0020083498 scopus 로고
    • The meaning and use of the area under a receiver operating characteristics curve
    • Hanley, J. A. McNeil, B. J. 1982. The meaning and use of the area under a receiver operating characteristics curve Radiology 143 : 29 36.
    • (1982) Radiology , vol.143 , pp. 29-36
    • Hanley, J.A.1    McNeil, B.J.2
  • 29
    • 33748537148 scopus 로고    scopus 로고
    • Methods and uncertainties in bioclimatic envelope modelling under climate change
    • Heikkinen, R. K. et al. 2006. Methods and uncertainties in bioclimatic envelope modelling under climate change Prog. Phys. Geogr. 30 : 751 777.
    • (2006) Prog. Phys. Geogr. , vol.30 , pp. 751-777
    • Heikkinen, R.K.1
  • 30
    • 33750352002 scopus 로고    scopus 로고
    • The effect of sample size and species characteristics on performance of different species distribution modeling methods
    • Hernandez, P. A. et al. 2006. The effect of sample size and species characteristics on performance of different species distribution modeling methods Ecography 29 : 773 785.
    • (2006) Ecography , vol.29 , pp. 773-785
    • Hernandez, P.A.1
  • 31
    • 2542420376 scopus 로고    scopus 로고
    • The performance of models relating species geographical distributions to climate is independent of trophic level
    • Hickman, J. D. Univ. of California Press
    • Hickman, J. D. The Jepson manual: higher plants of California. Univ. of California Press 1993 et al. 2004. The performance of models relating species geographical distributions to climate is independent of trophic level Ecol. Lett. 7 : 417 426.
    • (2004) Ecol. Lett. , vol.7 , pp. 417-426
  • 32
    • 3643116698 scopus 로고    scopus 로고
    • Predicting abundance of 80 tree species following climate change in the eastern United States
    • Iverson, L. R. Prasad, A. M. 1998. Predicting abundance of 80 tree species following climate change in the eastern United States Ecol. Monogr. 68 : 465 485.
    • (1998) Ecol. Monogr. , vol.68 , pp. 465-485
    • Iverson, L.R.1    Prasad, A.M.2
  • 33
    • 0025526046 scopus 로고
    • Multivariate analysis in ecology and systematics: Panacea or Pandora's box?
    • James, F. C. McCulloch, C. E. 1990. Multivariate analysis in ecology and systematics: Panacea or Pandora's box? Annu. Rev. Ecol. Syst. 21 : 129 166.
    • (1990) Annu. Rev. Ecol. Syst. , vol.21 , pp. 129-166
    • James, F.C.1    McCulloch, C.E.2
  • 34
    • 25844477124 scopus 로고    scopus 로고
    • An evaluation of mapped species distribution models used for conservation planning
    • Johnson, C. J. Gillingham, M. P. 2005. An evaluation of mapped species distribution models used for conservation planning Environ. Conserv. 32 : 117 128.
    • (2005) Environ. Conserv. , vol.32 , pp. 117-128
    • Johnson, C.J.1    Gillingham, M.P.2
  • 35
    • 1942489320 scopus 로고    scopus 로고
    • A quantitative approach to conservation planning: Using resource selection functions to identify important habitats for mountain caribou
    • Johnson, C. J. et al. 2004. A quantitative approach to conservation planning: using resource selection functions to identify important habitats for mountain caribou J. Appl. Ecol. 41 : 238 251.
    • (2004) J. Appl. Ecol. , vol.41 , pp. 238-251
    • Johnson, C.J.1
  • 36
    • 34249814725 scopus 로고    scopus 로고
    • Barbour, M. G. Billings, W. D. Cambridge Univ. Press
    • Keeley, J. E. 2000. Chaparral Barbour, M. G. Billings, W. D. North American terrestrial vegetation. Cambridge Univ. Press 204 253.
    • (2000) North American Terrestrial Vegetation , pp. 204-253
    • Keeley, J.E.1
  • 37
    • 36549024210 scopus 로고    scopus 로고
    • Digitization of a historic dataset: The Wieslander California vegetation type mapping project
    • Kelly, M. et al. 2005. Digitization of a historic dataset: the Wieslander California vegetation type mapping project Madroño 52 : 191 201.
    • (2005) Madroño , vol.52 , pp. 191-201
    • Kelly, M.1
  • 38
    • 36549028789 scopus 로고    scopus 로고
    • Considerations for ecological reconstruction of historic vegetation: Analysis of the spatial uncertainties in the California Vegetation Type Map dataset
    • Kelly, M. et al. 2008. Considerations for ecological reconstruction of historic vegetation: analysis of the spatial uncertainties in the California Vegetation Type Map dataset Plant. Ecol. 194 : 37 49.
    • (2008) Plant. Ecol. , vol.194 , pp. 37-49
    • Kelly, M.1
  • 39
    • 28044463158 scopus 로고    scopus 로고
    • Modeled regional climate change and California endemic oak ranges
    • Kueppers, L. M. et al. 2005. Modeled regional climate change and California endemic oak ranges Proc. Nat. Acad. Sci. USA 102 : 16281 16286.
    • (2005) Proc. Nat. Acad. Sci. USA , vol.102 , pp. 16281-16286
    • Kueppers, L.M.1
  • 40
    • 0037202453 scopus 로고    scopus 로고
    • GRASP: Generalized regression analysis and spatial prediction
    • Lehmann, A. et al. 2002. GRASP: generalized regression analysis and spatial prediction Ecol. Model. 157 : 189 207.
    • (2002) Ecol. Model. , vol.157 , pp. 189-207
    • Lehmann, A.1
  • 41
    • 38949161848 scopus 로고    scopus 로고
    • AUC: A misleading measure of the performance of predictive distribution models
    • Lobo, J. M. et al. 2008. AUC: a misleading measure of the performance of predictive distribution models Global Ecol. Biogeogr. 17 : 145 151.
    • (2008) Global Ecol. Biogeogr. , vol.17 , pp. 145-151
    • Lobo, J.M.1
  • 42
    • 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
  • 43
    • 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
  • 44
    • 0035658205 scopus 로고    scopus 로고
    • Towards a hierarchical framework for modeling the spatial distribution of animals
    • Mackey, B. G. Lindenmayer, D. B. 2001. Towards a hierarchical framework for modeling the spatial distribution of animals J. Biogeogr. 28 : 1147 1166.
    • (2001) J. Biogeogr. , vol.28 , pp. 1147-1166
    • MacKey, B.G.1    Lindenmayer, D.B.2
  • 45
    • 33745719239 scopus 로고    scopus 로고
    • Improving generalized regression analysis for the spatial prediction of forest communities
    • Maggini, R. et al. 2006. Improving generalized regression analysis for the spatial prediction of forest communities J. Biogeogr. 33 : 1729 1749.
    • (2006) J. Biogeogr. , vol.33 , pp. 1729-1749
    • Maggini, R.1
  • 46
    • 57349127473 scopus 로고    scopus 로고
    • Evaluation of consensus methods in predictive species distribution modeling
    • Marmion, M. et al. 2008. Evaluation of consensus methods in predictive species distribution modeling Divers. Distrib. 15 : 59 69.
    • (2008) Divers. Distrib. , vol.15 , pp. 59-69
    • Marmion, M.1
  • 47
    • 33847206814 scopus 로고    scopus 로고
    • Effects of species' ecology on the accuracy of distribution models
    • McPherson, J. M. Jetz, W. 2007. Effects of species' ecology on the accuracy of distribution models Ecography 30 : 135 151.
    • (2007) Ecography , vol.30 , pp. 135-151
    • McPherson, J.M.1    Jetz, W.2
  • 48
    • 5344259743 scopus 로고    scopus 로고
    • The effects of species' range sizes on the accuracy of distribution models: Ecological phenomenon or statistical artefact?
    • McPherson, J. M. et al. 2004. The effects of species' range sizes on the accuracy of distribution models: ecological phenomenon or statistical artefact? J. Appl. Ecol. 41 : 811 823.
    • (2004) J. Appl. Ecol. , vol.41 , pp. 811-823
    • McPherson, J.M.1
  • 49
    • 33646229316 scopus 로고    scopus 로고
    • Accuracy of resource selection functions across spatial scales
    • Meyer, C. B. Thuiller, W. 2006. Accuracy of resource selection functions across spatial scales Divers. Distrib. 12 : 288 297.
    • (2006) Divers. Distrib. , vol.12 , pp. 288-297
    • Meyer, C.B.1    Thuiller, W.2
  • 50
    • 33847632066 scopus 로고    scopus 로고
    • Incorporating spatial dependence in predictive vegetation models
    • Miller, J. et al. 2007. Incorporating spatial dependence in predictive vegetation models Ecol. Model. 202 : 225 242.
    • (2007) Ecol. Model. , vol.202 , pp. 225-242
    • Miller, J.1
  • 51
    • 0028974708 scopus 로고
    • A regional landscape analysis and prediction of favorable gray wolf habitat in the northern great lakes region
    • Mladenoff, D. J. et al. 1995. A regional landscape analysis and prediction of favorable gray wolf habitat in the northern great lakes region Conserv. Biol. 9 : 279 294.
    • (1995) Conserv. Biol. , vol.9 , pp. 279-294
    • Mladenoff, D.J.1
  • 52
    • 0037202445 scopus 로고    scopus 로고
    • Comparing five modelling techniques for predicting forest characteristics
    • Moisen, G. G. Frescino, T. S. 2002. Comparing five modelling techniques for predicting forest characteristics Ecol. Model. 157 : 209 225.
    • (2002) Ecol. Model. , vol.157 , pp. 209-225
    • Moisen, G.G.1    Frescino, T.S.2
  • 53
    • 0026359098 scopus 로고
    • Digital terrain modeling: A review of hydrological, geomorphologic and biological applications
    • Moore, I. D. et al. 1991. Digital terrain modeling: a review of hydrological, geomorphologic and biological applications Hydrol. Process. 5 : 3 30.
    • (1991) Hydrol. Process. , vol.5 , pp. 3-30
    • Moore, I.D.1
  • 54
    • 0000975370 scopus 로고
    • The interpretation of statistical maps
    • Moran, P. A. P. 1948. The interpretation of statistical maps J. Roy. Stat. Soc. B 10 : 243 251.
    • (1948) J. Roy. Stat. Soc. B , vol.10 , pp. 243-251
    • Moran, P.A.P.1
  • 55
    • 36148938326 scopus 로고    scopus 로고
    • Identifying core areas in a species' range using temporal suitability analysis: An example using little bustards Tetrax tetrax L. in Spain
    • Osborne, P. E. Suarez-Seoane, S. 2007. Identifying core areas in a species' range using temporal suitability analysis: an example using little bustards Tetrax tetrax L. in Spain Biodivers. Conserv. 16 : 3505 3518.
    • (2007) Biodivers. Conserv. , vol.16 , pp. 3505-3518
    • Osborne, P.E.1    Suarez-Seoane, S.2
  • 56
    • 36749093420 scopus 로고    scopus 로고
    • Environmental data sets matter in ecological niche modelling: An example with Solenopsis invicta and Solenopsis richteri
    • Peterson, A. T. Nakazawa, Y. 2008. Environmental data sets matter in ecological niche modelling: an example with Solenopsis invicta and Solenopsis richteri Global Ecol. Biogeogr. 17 : 135 144.
    • (2008) Global Ecol. Biogeogr. , vol.17 , pp. 135-144
    • Peterson, A.T.1    Nakazawa, Y.2
  • 57
    • 33645330972 scopus 로고    scopus 로고
    • Newer classification and regression techniques: Bagging and random forests for ecological prediction
    • Prasad, A. M. et al. 2006. Newer classification and regression techniques: bagging and random forests for ecological prediction Ecosystems 9 : 181 199.
    • (2006) Ecosystems , vol.9 , pp. 181-199
    • Prasad, A.M.1
  • 59
    • 33646733841 scopus 로고    scopus 로고
    • Obtaining environmental favourability functions from logistic regression
    • Real, R. et al. 2006. Obtaining environmental favourability functions from logistic regression Environ. Ecol. Stat. 13 : 237 245.
    • (2006) Environ. Ecol. Stat. , vol.13 , pp. 237-245
    • Real, R.1
  • 61
    • 4644223644 scopus 로고    scopus 로고
    • An evaluation of methods for modelling species distributions
    • Predicting Species Occurrences: Issues of Accuracy and Scale. Scott, J. M. Island Press
    • Scott, J. M. Predicting species occurrences: issues of accuracy and scale. Island Press 2002 Araújo, M. B. 2004. An evaluation of methods for modelling species distributions J. Biogeogr. 31 : 1555 1568.
    • (2002) J. Biogeogr. , vol.31 , pp. 1555-1568
    • Araújo, M.B.1
  • 62
    • 33646543702 scopus 로고    scopus 로고
    • Consequences of spatial autocorrelation for niche based models
    • Segurado, P. et al. 2006. Consequences of spatial autocorrelation for niche based models J. Appl. Ecol. 43 : 433 444.
    • (2006) J. Appl. Ecol. , vol.43 , pp. 433-444
    • Segurado, P.1
  • 63
    • 0036468622 scopus 로고    scopus 로고
    • Effects of sample size on accuracy of species distribution models
    • Stockwell, D. Peterson, A. T. 2002. Effects of sample size on accuracy of species distribution models Ecol. Model. 148 : 1 13.
    • (2002) Ecol. Model. , vol.148 , pp. 1-13
    • Stockwell, D.1    Peterson, A.T.2
  • 64
    • 79955485829 scopus 로고    scopus 로고
    • Species' traits affect the performance of species' distribution models for plants in southern California
    • in press.
    • Syphard, A. D. Franklin, J. in press. Species' traits affect the performance of species' distribution models for plants in southern California J. Veg. Sci.
    • J. Veg. Sci.
    • Syphard, A.D.1    Franklin, J.2
  • 66
    • 31944434076 scopus 로고    scopus 로고
    • The use of genetic algorithms and Bayesian classification to model species distributions
    • Termansen, M. et al. 2006. The use of genetic algorithms and Bayesian classification to model species distributions Ecol. Model. 192 : 410 424.
    • (2006) Ecol. Model. , vol.192 , pp. 410-424
    • Termansen, M.1
  • 67
    • 18844482306 scopus 로고    scopus 로고
    • Biodiversity conservation - Uncertainty in predictions of extinction risk
    • doi:10.1038/nature02716
    • Thuiller, W. et al. 2004a. Biodiversity conservation - uncertainty in predictions of extinction risk Nature 430, doi:10.1038/nature02716.
    • (2004) Nature , vol.430
    • Thuiller, W.1
  • 68
    • 4744352914 scopus 로고    scopus 로고
    • Effects of restricting environmental range of data to project current and future species distributions
    • Thuiller, W. et al. 2004b. Effects of restricting environmental range of data to project current and future species distributions Ecography 27 : 165 172.
    • (2004) Ecography , vol.27 , pp. 165-172
    • Thuiller, W.1
  • 69
    • 0001341151 scopus 로고
    • Diversity relations and succession in Californian coastal sage scrub
    • Westman, W. E. 1981. Diversity relations and succession in Californian coastal sage scrub Ecology 62 : 170 184.
    • (1981) Ecology , vol.62 , pp. 170-184
    • Westman, W.E.1
  • 70
    • 0001362899 scopus 로고
    • A vegetation type map of California
    • Wieslander, A. E. 1935. A vegetation type map of California Madroño 3 : 140 144.
    • (1935) Madroño , vol.3 , pp. 140-144
    • Wieslander, A.E.1
  • 72
    • 17644395960 scopus 로고    scopus 로고
    • Fauna habitat modelling and mapping: A review and case study in the Lower Hunter Central Coast region of NSW
    • Wintle, B. A. et al. 2005. Fauna habitat modelling and mapping: a review and case study in the Lower Hunter Central Coast region of NSW Austral Ecol. 30 : 719 738.
    • (2005) Austral Ecol. , vol.30 , pp. 719-738
    • Wintle, B.A.1
  • 73
    • 84986799949 scopus 로고
    • Generalized additive models in plant ecology
    • Yee, T. W. Mitchell, N. D. 1991. Generalized additive models in plant ecology J. Veg. Sci. 2 : 587 602.
    • (1991) J. Veg. Sci. , vol.2 , pp. 587-602
    • Yee, T.W.1    Mitchell, N.D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.