메뉴 건너뛰기




Volumn 29, Issue 2, 2006, Pages 129-151

Novel methods improve prediction of species' distributions from occurrence data

(27)  Elith, Jane a   H Graham, Catherine b   P Anderson, Robert c   Dudík, Miroslav d   Ferrier, Simon e   Guisan, Antoine f   J Hijmans, Robert g   Huettmann, Falk h   R Leathwick, John i   Lehmann, Anthony j   Li, Jin k   G Lohmann, Lucia l   A Loiselle, Bette m   Manion, Glenn e   Moritz, Craig g   Nakamura, Miguel n   Nakazawa, Yoshinori o   McC M Overton, Jacob p   Townsend Peterson, A o   J Phillips, Steven q   more..


Author keywords

[No Author keywords available]

Indexed keywords

CONSERVATION; ECOLOGY; EVOLUTION; HERBARIUM; INFORMATION; MODEL; MUSEUM; SPECIES DIVERSITY;

EID: 33645917058     PISSN: 09067590     EISSN: 16000587     Source Type: Journal    
DOI: 10.1111/j.2006.0906-7590.04596.x     Document Type: Article
Times cited : (7094)

References (113)
  • 1
    • 0038025507 scopus 로고    scopus 로고
    • Real vs artefactual absences in species distributions: Tests for Oryzomys albigularis (Rodentia: Muridae) in Venezuala
    • Anderson R. P. 2003 Real vs artefactual absences in species distributions: tests for Oryzomys albigularis (Rodentia: Muridae) in Venezuala J. Biogeogr. 30 591 605
    • (2003) J. Biogeogr. , vol.30 , pp. 591-605
    • Anderson, R.P.1
  • 2
    • 0036342869 scopus 로고    scopus 로고
    • Using niche-based GIS modeling to test geographic predictions of competitive exclusion and competitive release in South American pocket mice
    • Anderson R. P. Peterson A. T. Gómez-Laverde M. 2002 Using niche-based GIS modeling to test geographic predictions of competitive exclusion and competitive release in South American pocket mice Oikos 98 3 16
    • (2002) Oikos , vol.98 , pp. 3-16
    • Anderson, R.P.1    Peterson, A.T.2    Gómez-Laverde, M.3
  • 3
    • 0033784575 scopus 로고    scopus 로고
    • Selecting areas for species persistence using occurrence data
    • Araújo M. B. 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
    • Araújo, M.B.1    Williams, P.H.2
  • 4
    • 4744370305 scopus 로고    scopus 로고
    • Would climate change drive species out of reserves? An assessment of existing reserve-selection methods
    • Araújo M. B. et al 2004 Would climate change drive species out of reserves? An assessment of existing reserve-selection methods Global Change Biol. 10 1618 1626
    • (2004) Global Change Biol. , vol.10 , pp. 1618-1626
    • Araújo, M.B.1
  • 5
    • 24344464067 scopus 로고    scopus 로고
    • Validation of species-climate impact models under climate change
    • Araújo M. B. et al 2005 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
  • 6
    • 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. Modell. 157 101 118
    • (2002) Ecol. Modell. , vol.157 , pp. 101-118
    • Austin, M.P.1
  • 7
    • 0000467567 scopus 로고
    • Observational analysis of environmental gradients
    • Austin M. P. Cunningham R. B. 1981 Observational analysis of environmental gradients Proc. Ecol. Soc. Aust. 11 109 119
    • (1981) Proc. Ecol. Soc. Aust. , vol.11 , pp. 109-119
    • Austin, M.P.1    Cunningham, R.B.2
  • 8
    • 0028174803 scopus 로고
    • Determining species response functions to an environmental gradient by means of a beta-function
    • Austin M. P. et al 1994 Determining species response functions to an environmental gradient by means of a beta-function J. Veg. Sci. 5 215 228
    • (1994) J. Veg. Sci. , vol.5 , pp. 215-228
    • Austin, M.P.1
  • 9
    • 33645898267 scopus 로고    scopus 로고
    • Austin, M. P. et al. 1995. Modelling of landscape patterns and processes using biological data. Subproject 5: simulated data case study. - In: Division of Wildlife and Ecology, CSIRO.
    • Austin, M. P. et al. 1995. Modelling of landscape patterns and processes using biological data. Subproject 5: simulated data case study. - In: Division of Wildlife and Ecology, CSIRO.
  • 10
    • 0036250118 scopus 로고    scopus 로고
    • Assessing effects of forecasted climate change on the diversity and distribution of European higher plants for 2050
    • Bakkenes M. et al 2002 Assessing effects of forecasted climate change on the diversity and distribution of European higher plants for 2050 Global Change Biol. 8 390 407
    • (2002) Global Change Biol. , vol.8 , pp. 390-407
    • Bakkenes, M.1
  • 11
    • 33645926641 scopus 로고    scopus 로고
    • Barry, S. C. and Elith, J. in press. Error and uncertainty in habitat models. - J. Appl. Ecol.
    • Barry, S. C. and Elith, J. in press. Error and uncertainty in habitat models. - J. Appl. Ecol.
  • 12
    • 33645910477 scopus 로고    scopus 로고
    • Bio, A. M. F. 2000. Does vegetation suit our models? Data and model assumptions and the assessment of species distribution in space. - Fac. of Geographical Sciences, Utrecht Univ., Netherlands Ph.D. thesis.
    • Bio, A. M. F. 2000. Does vegetation suit our models? Data and model assumptions and the assessment of species distribution in space. - Fac. of Geographical Sciences, Utrecht Univ., Netherlands Ph.D. thesis.
  • 13
    • 0028973789 scopus 로고
    • Identifying conservation priorities in México through GIS and modeling
    • Bojórquez L. I. et al 1995 Identifying conservation priorities in México through GIS and modeling Ecol. Appl. 5 215 231
    • (1995) Ecol. Appl. , vol.5 , pp. 215-231
    • Bojórquez, L.I.1
  • 14
    • 0037202455 scopus 로고    scopus 로고
    • Evaluating resource selection functions
    • Boyce M. S. et al 2002 Evaluating resource selection functions Ecol. Modell. 157 281 300
    • (2002) Ecol. Modell. , vol.157 , pp. 281-300
    • Boyce, M.S.1
  • 15
    • 3042679203 scopus 로고    scopus 로고
    • Presence-absence versus presence-only modelling methods for predicting bird habitat suitability
    • Brotons L. et al 2004 Presence-absence versus presence-only modelling methods for predicting bird habitat suitability Ecography 27 437 448
    • (2004) Ecography , vol.27 , pp. 437-448
    • Brotons, L.1
  • 17
    • 23644451345 scopus 로고    scopus 로고
    • Managing landscapes for conservation under uncertainty
    • Burgman M. Lindenmayer D. B. Elith J. 2005 Managing landscapes for conservation under uncertainty Ecology 86 2007 2017
    • (2005) Ecology , vol.86 , pp. 2007-2017
    • Burgman, M.1    Lindenmayer, D.B.2    Elith, J.3
  • 20
    • 0027130075 scopus 로고
    • DOMAIN: A flexible modelling procedure for mapping potential distributions of plants and animals
    • Carpenter G. Gillison A. N. Winter J. 1993 DOMAIN: a flexible modelling 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    Gillison, A.N.2    Winter, J.3
  • 21
    • 0036937691 scopus 로고    scopus 로고
    • Regional vegetation mapping in Australia: A case study in the practical use of statistical modelling
    • Cawsey E. M. Austin M. P. Baker B. L. 2002 Regional vegetation mapping in Australia: a case study in the practical use of statistical modelling Biodiv. Conserv. 11 2239 2274
    • (2002) Biodiv. Conserv. , vol.11 , pp. 2239-2274
    • Cawsey, E.M.1    Austin, M.P.2    Baker, B.L.3
  • 22
    • 3543093955 scopus 로고    scopus 로고
    • Barriers to sympatry between avian sibling species (Paridae: Beolophus) in tenuous secondary contact
    • Cicero C. 2004 Barriers to sympatry between avian sibling species (Paridae: Beolophus) in tenuous secondary contact Evolution 58 1573 1587
    • (2004) Evolution , vol.58 , pp. 1573-1587
    • Cicero, C.1
  • 23
    • 84973587732 scopus 로고
    • A coefficient of agreement for nominal scales
    • Cohen J. 1960 A coefficient of agreement for nominal scales Educ. Psyschol. Meas. 20 37 46
    • (1960) Educ. Psyschol. Meas. , vol.20 , pp. 37-46
    • Cohen, J.1
  • 24
    • 0012769183 scopus 로고    scopus 로고
    • Predictions and their validation: Rare plants in the Central Highlands, Victoria, Australia
    • Scott J. M. Island Press
    • Elith J. Burgman M. A. 2002 Predictions and their validation: rare plants in the Central Highlands, Victoria, Australia Scott J. M. Predicting species occurrences: issues of accuracy and scale Island Press 303 314
    • (2002) Predicting Species Occurrences: Issues of Accuracy and Scale , pp. 303-314
    • Elith, J.1    Burgman, M.A.2
  • 25
    • 0036554569 scopus 로고    scopus 로고
    • Mapping spatial pattern in biodiversity for regional conservation planning: Where to from here?
    • Ferrier S. 2002 Mapping spatial pattern in biodiversity for regional conservation planning: where to from here? Syst. Biol. 51 331 363
    • (2002) Syst. Biol. , vol.51 , pp. 331-363
    • Ferrier, S.1
  • 26
    • 33645938257 scopus 로고    scopus 로고
    • Ferrier, S. and Watson, G. 1997. An evaluation of the effectiveness of environmental surrogates and modelling techniques in predicting the distribution of biological diversity. - Environment Australia, Canberra, .
    • Ferrier, S. and Watson, G. 1997. An evaluation of the effectiveness of environmental surrogates and modelling techniques in predicting the distribution of biological diversity. - Environment Australia, Canberra, .
  • 27
    • 0036934092 scopus 로고    scopus 로고
    • Extended statistical approaches to modelling spatial pattern in biodiversity: The north-east New South Wales experience. I. Species-level modelling
    • Ferrier S. et al 2002a Extended statistical approaches to modelling spatial pattern in biodiversity: the north-east New South Wales experience. I. Species-level modelling Biodiv. Conserv. 11 2275 2307
    • (2002) Biodiv. Conserv. , vol.11 , pp. 2275-2307
    • Ferrier, S.1
  • 28
    • 0036934018 scopus 로고    scopus 로고
    • Extended statistical approaches to modelling spatial pattern in biodiversity: The north-east New South Wales experience. II. Community-level modelling
    • Ferrier S. et al 2002b Extended statistical approaches to modelling spatial pattern in biodiversity: the north-east New South Wales experience. II. Community-level modelling Biodiv. Conserv. 11 2309 2338
    • (2002) Biodiv. Conserv. , vol.11 , pp. 2309-2338
    • Ferrier, S.1
  • 29
    • 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. 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
  • 30
    • 0034164230 scopus 로고    scopus 로고
    • Additive logistic regression: A statistical view of boosting
    • Friedman J. H. Hastie T. Tibshirani R. 2000 Additive logistic regression: a statistical view of boosting Ann. Stat. 28 337 407
    • (2000) Ann. Stat. , vol.28 , pp. 337-407
    • Friedman, J.H.1    Hastie, T.2    Tibshirani, R.3
  • 31
    • 0036554651 scopus 로고    scopus 로고
    • Systematic data in biodiversity studies: Use it or lose it
    • Funk V. Richardson K. 2002 Systematic data in biodiversity studies: use it or lose it Syst. Biol. 51 303 316
    • (2002) Syst. Biol. , vol.51 , pp. 303-316
    • Funk, V.1    Richardson, K.2
  • 32
    • 84867147419 scopus 로고    scopus 로고
    • Explaining species distribution patterns through hierarchical modeling
    • Gelfand A. E. et al 2006 Explaining species distribution patterns through hierarchical modeling Bayesian Analysis 1 41 92
    • (2006) Bayesian Analysis , vol.1 , pp. 41-92
    • Gelfand, A.E.1
  • 34
    • 6344261949 scopus 로고    scopus 로고
    • Potential distribution of the invasive old world climbing, fern, Lygodium microphyllum in north and south America
    • Goolsby J. A. 2004 Potential distribution of the invasive old world climbing, fern, Lygodium microphyllum in north and south America Nat. Areas J. 24 351 353
    • (2004) Nat. Areas J. , vol.24 , pp. 351-353
    • Goolsby, J.A.1
  • 35
    • 4344601500 scopus 로고    scopus 로고
    • New developments in museum-based informatics and applications in biodiversity analysis
    • Graham C. H. et al 2004a New developments in museum-based informatics and applications in biodiversity analysis Trends Ecol. Evol. 19 497 503
    • (2004) Trends Ecol. Evol. , vol.19 , pp. 497-503
    • Graham, C.H.1
  • 36
    • 4344644543 scopus 로고    scopus 로고
    • Integrating phylogenetics and environmental niche models to explore speciation mechanisms in dendrobatid frogs
    • Graham C. H. et al 2004b Integrating phylogenetics and environmental niche models to explore speciation mechanisms in dendrobatid frogs Evolution 58 1781 1793
    • (2004) Evolution , vol.58 , pp. 1781-1793
    • Graham, C.H.1
  • 37
    • 31444443231 scopus 로고    scopus 로고
    • Habitat history improves prediction of biodiversity in a rainforest fauna
    • Graham C. H. Moritz C. Williams S. E. 2006 Habitat history improves prediction of biodiversity in a rainforest fauna Proc. Natl. Acad. Sci. USA 103 632 636
    • (2006) Proc. Natl. Acad. Sci. USA , vol.103 , pp. 632-636
    • Graham, C.H.1    Moritz, C.2    Williams, S.E.3
  • 38
    • 0034610199 scopus 로고    scopus 로고
    • Predictive habitat distribution models in ecology
    • Guisan A. Zimmerman 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    Zimmerman, N.E.2
  • 39
    • 0041733201 scopus 로고    scopus 로고
    • Predicting reptile distributions at the mesoscale: Relation to climate and topography
    • Guisan A. Hofer U. 2003 Predicting reptile distributions at the mesoscale: relation to climate and topography J. Biogeogr. 30 1233 1243
    • (2003) J. Biogeogr. , vol.30 , pp. 1233-1243
    • Guisan, A.1    Hofer, U.2
  • 40
    • 24344493920 scopus 로고    scopus 로고
    • Predicting species distribution: Offering more than simple habitat models
    • Guisan A. Thuiller W. 2005 Predicting species distribution: offering more than simple habitat models Ecol. Lett. 8 993 1009
    • (2005) Ecol. Lett. , vol.8 , pp. 993-1009
    • Guisan, A.1    Thuiller, W.2
  • 41
    • 0001998834 scopus 로고    scopus 로고
    • Predicting the potential distribution of plant species in an alpine environment
    • Guisan A. Theurillat J. P. Kienast F. 1998 Predicting the potential distribution of plant species in an alpine environment J. Veg. Sci. 9 65 74
    • (1998) J. Veg. Sci. , vol.9 , pp. 65-74
    • Guisan, A.1    Theurillat, J.P.2    Kienast, F.3
  • 42
    • 0020083498 scopus 로고
    • The meaning and use of the area under a Receiver Operating Characteristic (ROC) curve
    • Hanley J. A. McNeil B. J. 1982 The meaning and use of the area under a Receiver Operating Characteristic (ROC) curve Radiology 143 29 36
    • (1982) Radiology , vol.143 , pp. 29-36
    • Hanley, J.A.1    McNeil, B.J.2
  • 43
    • 0028175341 scopus 로고
    • Patch occupancy dynamics in fragmented landscapes
    • Hanski I. 1994 Patch occupancy dynamics in fragmented landscapes Trends Ecol. Evol. 9 131 134
    • (1994) Trends Ecol. Evol. , vol.9 , pp. 131-134
    • Hanski, I.1
  • 46
    • 0034511203 scopus 로고    scopus 로고
    • Assessing the geographic representativeness of genebank collections: The case of Bolivian wild potatoes
    • Hijmans R. J. et al 2000 Assessing the geographic representativeness of genebank collections: the case of Bolivian wild potatoes Conserv. Biol. 14 1755 1765
    • (2000) Conserv. Biol. , vol.14 , pp. 1755-1765
    • Hijmans, R.J.1
  • 47
    • 29544443445 scopus 로고    scopus 로고
    • Very high resolution interpolated climate surfaces for global land areas
    • Hijmans R. J. et al 2005 Very high resolution interpolated climate surfaces for global land areas Int. J. Climatol. 25 1965 1978
    • (2005) Int. J. Climatol. , vol.25 , pp. 1965-1978
    • Hijmans, R.J.1
  • 48
    • 0037202454 scopus 로고    scopus 로고
    • Which is the optimal sampling strategy for habitat suitability modelling?
    • Hirzel A. H. Guisan A. 2002 Which is the optimal sampling strategy for habitat suitability modelling? Ecol. Modell. 157 331 341
    • (2002) Ecol. Modell. , vol.157 , pp. 331-341
    • Hirzel, A.H.1    Guisan, A.2
  • 49
    • 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
  • 50
    • 23744465624 scopus 로고    scopus 로고
    • Databases and science-based management in the context of wildlife and habitat: Towards a certified ISO standard for objective decision-making for the global community by using the internet
    • Huettmann F. 2005 Databases and science-based management in the context of wildlife and habitat: towards a certified ISO standard for objective decision-making for the global community by using the internet J. Wildl. Manage. 69 466 472
    • (2005) J. Wildl. Manage. , vol.69 , pp. 466-472
    • Huettmann, F.1
  • 51
    • 0037197915 scopus 로고    scopus 로고
    • Reconciling paleodistribution models and comparative phylogeography in the Wet Tropics rainforest land snail Gnarosophia bellendenkerensis (Brazier 1875)
    • Hugall A. et al 2002 Reconciling paleodistribution models and comparative phylogeography in the Wet Tropics rainforest land snail Gnarosophia bellendenkerensis (Brazier 1875) Proc. Natl. Acad. Sci. USA 99 6112 6117
    • (2002) Proc. Natl. Acad. Sci. USA , vol.99 , pp. 6112-6117
    • Hugall, A.1
  • 52
    • 0020187981 scopus 로고
    • On the rationale of maximum entropy methods
    • Jaynes E. T. 1982 On the rationale of maximum entropy methods Proc. the IEEE 70 939 952
    • (1982) Proc. the IEEE , vol.70 , pp. 939-952
    • Jaynes, E.T.1
  • 53
    • 0346361819 scopus 로고    scopus 로고
    • A systematic analysis of factors affecting the performance of climatic envelope models
    • Kadmon R. Farber O. Danin A. 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    Farber, O.2    Danin, A.3
  • 54
    • 1642410340 scopus 로고    scopus 로고
    • Effect of roadside bias on the accuracy of predictive maps produced by bioclimatic models
    • Kadmon R. Farber O. Danin A. 2004 Effect of roadside bias on the accuracy of predictive maps produced by bioclimatic models Ecol. Appl. 14 401 413
    • (2004) Ecol. Appl. , vol.14 , pp. 401-413
    • Kadmon, R.1    Farber, O.2    Danin, A.3
  • 55
    • 12144266865 scopus 로고    scopus 로고
    • Use and interpretation of logistic regression in habitat selection studies
    • Keating K. A. Cherry S. 2004 Use and interpretation of logistic regression in habitat selection studies J. Wildl. Manage. 68 774 789
    • (2004) J. Wildl. Manage. , vol.68 , pp. 774-789
    • Keating, K.A.1    Cherry, S.2
  • 56
    • 0036941483 scopus 로고    scopus 로고
    • Intra-generic competition among Nothofagus in New Zealand's primary indigenous forests
    • Leathwick J. R. 2002 Intra-generic competition among Nothofagus in New Zealand's primary indigenous forests Biodiv. Conserv. 11 2177 2187
    • (2002) Biodiv. Conserv. , vol.11 , pp. 2177-2187
    • Leathwick, J.R.1
  • 57
    • 0034803153 scopus 로고    scopus 로고
    • Competitive interactions between tree species in New Zealand's old-growth indigenous forests
    • Leathwick J. R. Austin M. P. 2001 Competitive interactions between tree species in New Zealand's old-growth indigenous forests Ecology 82 2560 2573
    • (2001) Ecology , vol.82 , pp. 2560-2573
    • Leathwick, J.R.1    Austin, M.P.2
  • 58
    • 33645954864 scopus 로고    scopus 로고
    • Using multivariate adaptive regression splines to predict the distributions of New Zealand's freshwater diadromous fish
    • Leathwick J. R. et al 2005 Using multivariate adaptive regression splines to predict the distributions of New Zealand's freshwater diadromous fish Freshwater Biol. 50 2034 2052
    • (2005) Freshwater Biol. , vol.50 , pp. 2034-2052
    • Leathwick, J.R.1
  • 59
    • 33645949047 scopus 로고    scopus 로고
    • Leathwick, J. R. et al. in press. Variation in demersal fish species richness in the oceans surrounding New Zealand: an analysis using boosted regression trees. - Mar. Ecol. Progr. Ser.
    • Leathwick, J. R. et al. in press. Variation in demersal fish species richness in the oceans surrounding New Zealand: an analysis using boosted regression trees. - Mar. Ecol. Progr. Ser.
  • 60
    • 20444488428 scopus 로고    scopus 로고
    • Selecting thresholds of occurrence in the prediction of species distributions
    • Liu C. et al 2005 Selecting thresholds of occurrence in the prediction of species distributions Ecography 28 385 393
    • (2005) Ecography , vol.28 , pp. 385-393
    • Liu, C.1
  • 61
    • 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
  • 62
    • 0001920729 scopus 로고
    • Similarity metric learning for a variable-kernel classifier
    • Lowe D. G. 1995 Similarity metric learning for a variable-kernel classifier Neural Comput 7 72 85
    • (1995) Neural Comput , vol.7 , pp. 72-85
    • Lowe, D.G.1
  • 63
    • 28244499981 scopus 로고    scopus 로고
    • Uncertainty of bioclimate envelope models based on geographical distribution of species
    • Luoto M. et al 2005 Uncertainty of bioclimate envelope models based on geographical distribution of species Global Ecol. Biogeogr. 14 575 584
    • (2005) Global Ecol. Biogeogr. , vol.14 , pp. 575-584
    • Luoto, M.1
  • 64
    • 2542495117 scopus 로고    scopus 로고
    • A successful predictive model of species richness based on indicator species
    • Mac Nally R. Fleishman E. 2004 A successful predictive model of species richness based on indicator species Conserv. Biol. 18 646 654
    • (2004) Conserv. Biol. , vol.18 , pp. 646-654
    • Mac Nally, R.1    Fleishman, E.2
  • 65
    • 31344466487 scopus 로고    scopus 로고
    • Profiting from prior information in Bayesian analyses of ecological data
    • McCarthy M. A. Masters P. 2005 Profiting from prior information in Bayesian analyses of ecological data J. Appl. Ecol. 42 1012 1019
    • (2005) J. Appl. Ecol. , vol.42 , pp. 1012-1019
    • McCarthy, M.A.1    Masters, P.2
  • 66
    • 26244432949 scopus 로고    scopus 로고
    • Prioritizing multiple-use landscapes for conservation: Methods for large multi-species planning problems
    • Moilanen A. et al 2005 Prioritizing multiple-use landscapes for conservation: methods for large multi-species planning problems Proc. R. Soc. B 272 1885 1891
    • (2005) Proc. R. Soc. B , vol.272 , pp. 1885-1891
    • Moilanen, A.1
  • 67
    • 0037202445 scopus 로고    scopus 로고
    • Comparing five modeling techniques for predicting forest characteristics
    • Moisen G. G. Frescino T. S. 2002 Comparing five modeling techniques for predicting forest characteristics Ecol. Modell. 157 209 225
    • (2002) Ecol. Modell. , vol.157 , pp. 209-225
    • Moisen, G.G.1    Frescino, T.S.2
  • 68
    • 2342614840 scopus 로고    scopus 로고
    • Comparison of statistical methods commonly used in predictive modeling
    • Muñoz J. Fellicísimo Á. M. 2004 Comparison of statistical methods commonly used in predictive modeling J. Veg. Sci. 15 285 292
    • (2004) J. Veg. Sci. , vol.15 , pp. 285-292
    • Muñoz, J.1    Fellicísimo, Á.M.2
  • 69
    • 38249014410 scopus 로고
    • Diagnostic verification of probability forecasts
    • Murphy A. H. Winkler R. L. 1992 Diagnostic verification of probability forecasts Int. J. Forecasting 7 435 455
    • (1992) Int. J. Forecasting , vol.7 , pp. 435-455
    • Murphy, A.H.1    Winkler, R.L.2
  • 70
    • 0033831709 scopus 로고    scopus 로고
    • Evaluating the predictive performance of habitat models developed using logistic regression
    • Pearce J. Ferrier S. 2000a 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
  • 71
    • 0034690221 scopus 로고    scopus 로고
    • An evaluation of alternative algorithms for fitting species distribution models using logistic regression
    • Pearce J. Ferrier S. 2000b An evaluation of alternative algorithms for fitting species distribution models using logistic regression Ecol. Modell. 128 127 147
    • (2000) Ecol. Modell. , vol.128 , pp. 127-147
    • Pearce, J.1    Ferrier, S.2
  • 72
    • 33645942048 scopus 로고    scopus 로고
    • Pearce, J. L. and Boyce, M. S. in press. Modelling distribution and abundance with presence-only data. - J. Appl. Ecol., in press.
    • Pearce, J. L. and Boyce, M. S. in press. Modelling distribution and abundance with presence-only data. - J. Appl. Ecol., in press.
  • 73
    • 0034950538 scopus 로고    scopus 로고
    • An evaluation of the predictive performance of distributional models for flora and fauna in norht-east New South Wales
    • Pearce J. Ferrier S. Scotts D. 2001 An evaluation of the predictive performance of distributional models for flora and fauna in norht-east New South Wales J. Environ. Manage. 62 171 184
    • (2001) J. Environ. Manage. , vol.62 , pp. 171-184
    • Pearce, J.1    Ferrier, S.2    Scotts, D.3
  • 74
    • 0347033478 scopus 로고    scopus 로고
    • Predicting the geography of species' invasions via ecological niche modeling
    • Peterson A. T. 2003 Predicting the geography of species' invasions via ecological niche modeling Quart. Rev. Biol. 78 419 433
    • (2003) Quart. Rev. Biol. , vol.78 , pp. 419-433
    • Peterson, A.T.1
  • 76
    • 3042805361 scopus 로고    scopus 로고
    • Reconstructing the pleistocene geography of the Aphelocoma jays (Corvidae)
    • Peterson A. T. Martinez-Meyer E. Gonzalez-Salazar C. 2004 Reconstructing the pleistocene geography of the Aphelocoma jays (Corvidae) Biodiv. Res. 10 237 246
    • (2004) Biodiv. Res. , vol.10 , pp. 237-246
    • Peterson, A.T.1    Martinez-Meyer, E.2    Gonzalez-Salazar, C.3
  • 77
    • 14344261668 scopus 로고    scopus 로고
    • Phillips, S. J., Dudik, M. and Schapire, R. E. 2004. A maximum entropy approach to species distribution modeling. - In: Proc. of the 21st International Conference on Machine Learning, Banff, Canada, 2004.
    • Phillips, S. J., Dudik, M. and Schapire, R. E. 2004. A maximum entropy approach to species distribution modeling. - In: Proc. of the 21st International Conference on Machine Learning, Banff, Canada, 2004.
  • 78
    • 27944446350 scopus 로고    scopus 로고
    • Maximum entropy modeling of species geographic distributions
    • Phillips S. J. Anderson R. P. Schapire R. E. 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    Anderson, R.P.2    Schapire, R.E.3
  • 79
    • 85195975892 scopus 로고    scopus 로고
    • The role of models in prediction for decision
    • Canham C. Cole J. Lauenroth W. K. Princeton Univ. Press
    • Pielke Jr R. A. 2003 The role of models in prediction for decision Canham C. Cole J. Lauenroth W. K. Models in ecosystem science Princeton Univ. Press 111 135
    • (2003) Models in Ecosystem Science , pp. 111-135
    • Pielke Jr., R.A.1
  • 80
    • 33645898919 scopus 로고    scopus 로고
    • Randin, C. F. et al. in press. Are species distribution models transferable in space? - J. Biogeogr.
    • Randin, C. F. et al. in press. Are species distribution models transferable in space? - J. Biogeogr.
  • 82
    • 0347357616 scopus 로고    scopus 로고
    • Predicting distributions of known and unknown reptile species in Madagascar
    • Raxworthy C. J. et al 2003 Predicting distributions of known and unknown reptile species in Madagascar Nature 426 837 841
    • (2003) Nature , vol.426 , pp. 837-841
    • Raxworthy, C.J.1
  • 83
    • 15944423629 scopus 로고    scopus 로고
    • Factors affecting species distribution predictions: A simulation modeling experiment
    • Reese G. C. et al 2005 Factors affecting species distribution predictions: a simulation modeling experiment Ecol. Appl. 15 554 564
    • (2005) Ecol. Appl. , vol.15 , pp. 554-564
    • Reese, G.C.1
  • 84
    • 0742267687 scopus 로고    scopus 로고
    • A comprehensive framework for global patterns in biodiversity
    • Ricklefs R. 2004 A comprehensive framework for global patterns in biodiversity Ecol. Lett. 7 1 15
    • (2004) Ecol. Lett. , vol.7 , pp. 1-15
    • Ricklefs, R.1
  • 85
    • 0008562342 scopus 로고    scopus 로고
    • The state of boosting
    • Ridgeway G. 1999 The state of boosting Comput. Sci. Stat. 31 172 181
    • (1999) Comput. Sci. Stat. , vol.31 , pp. 172-181
    • Ridgeway, G.1
  • 87
    • 1942456858 scopus 로고    scopus 로고
    • New paradigms for modelling species distributions?
    • Rushton S. P. Ormerod S. J. Kerby G. 2004 New paradigms for modelling species distributions? J. Appl. Ecol. 41 193 200
    • (2004) J. Appl. Ecol. , vol.41 , pp. 193-200
    • Rushton, S.P.1    Ormerod, S.J.2    Kerby, G.3
  • 88
    • 0038371421 scopus 로고    scopus 로고
    • Developing landscape frameworks for regional conservation planning: An approach integrating fauna spatial distributions and ecological principles
    • Scotts D. Drielsma M. 2003 Developing landscape frameworks for regional conservation planning: an approach integrating fauna spatial distributions and ecological principles Pac. Conserv. Biol. 8 235 254
    • (2003) Pac. Conserv. Biol. , vol.8 , pp. 235-254
    • Scotts, D.1    Drielsma, M.2
  • 89
    • 4644223644 scopus 로고    scopus 로고
    • An evaluation of methods for modelling species distributions
    • Segurado P. Araújo 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    Araújo, M.B.2
  • 91
    • 3042601152 scopus 로고    scopus 로고
    • Potential impact of climatic change on the distribution of forest herbs in Europe
    • Skov F. Svenning J. C. 2004 Potential impact of climatic change on the distribution of forest herbs in Europe Ecography 27 366 380
    • (2004) Ecography , vol.27 , pp. 366-380
    • Skov, F.1    Svenning, J.C.2
  • 93
    • 0033761143 scopus 로고    scopus 로고
    • The use of specimen - Label databases for conservation purposes: An example using Mexican papilionid and pierid butterflies
    • Soberon J. Llorente J. B. Onate L. 2000 The use of specimen - label databases for conservation purposes: an example using Mexican papilionid and pierid butterflies Biodiv. Conserv. 9 1441 1466
    • (2000) Biodiv. Conserv. , vol.9 , pp. 1441-1466
    • Soberon, J.1    Llorente, J.B.2    Onate, L.3
  • 94
    • 22544451955 scopus 로고    scopus 로고
    • Interpretation of models of fundamental ecological niches and species' distributional areas
    • Soberón J. M. Peterson A. T. 2005 Interpretation of models of fundamental ecological niches and species' distributional areas Biodiv. Inform. 2 1 10
    • (2005) Biodiv. Inform. , vol.2 , pp. 1-10
    • Soberón, J.M.1    Peterson, A.T.2
  • 96
    • 0036435040 scopus 로고    scopus 로고
    • Bayesian measures of model complexity and fit
    • Spiegelhalter D. J. et al 2003b Bayesian measures of model complexity and fit J. R. Stat. Soc. Ser. B 64 583 639
    • (2003) J. R. Stat. Soc. Ser. B , vol.64 , pp. 583-639
    • Spiegelhalter, D.J.1
  • 97
    • 0032903209 scopus 로고    scopus 로고
    • The GARP modelling system: Problems and solutions to automated spatial prediction
    • Stockwell D. Peters D. 1999 The GARP modelling 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
  • 98
    • 0036468622 scopus 로고    scopus 로고
    • Effects of sample size on accuracy of species distribution models
    • Stockwell D. R. B. 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
  • 99
    • 1542329839 scopus 로고    scopus 로고
    • Extinction risk from climate change
    • Thomas C. D. et al 2004 Extinction risk from climate change Nature 427 145 148
    • (2004) Nature , vol.427 , pp. 145-148
    • Thomas, C.D.1
  • 100
    • 0030615723 scopus 로고    scopus 로고
    • Generating surfaces of daily meteorological variables over large regions of complex terrain
    • Thornton P. E. Running S. W. White M. A. 1997 Generating surfaces of daily meteorological variables over large regions of complex terrain J. Hydrol. 190 214 251
    • (1997) J. Hydrol. , vol.190 , pp. 214-251
    • Thornton, P.E.1    Running, S.W.2    White, M.A.3
  • 101
    • 10944234906 scopus 로고    scopus 로고
    • Patterns and uncertainties of species' range shifts under climate change
    • Thuiller W. 2004 Patterns and uncertainties of species' range shifts under climate change Global Change Biol. 10 2020 2027
    • (2004) Global Change Biol. , vol.10 , pp. 2020-2027
    • Thuiller, W.1
  • 102
    • 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
  • 103
    • 20444364191 scopus 로고    scopus 로고
    • Climate change threats to plant diversity in Europe
    • Thuiller W. et al 2005 Climate change threats to plant diversity in Europe Proc. Natl. Acad. Sci. USA 102 8245 8250
    • (2005) Proc. Natl. Acad. Sci. USA , vol.102 , pp. 8245-8250
    • Thuiller, W.1
  • 104
    • 0001287271 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the lasso
    • Tibshirani R. 1996 Regression shrinkage and selection via the lasso J. R. Stat. Soc. Ser. B 58 267 288
    • (1996) J. R. Stat. Soc. Ser. B , vol.58 , pp. 267-288
    • Tibshirani, R.1
  • 105
    • 0037500130 scopus 로고    scopus 로고
    • Remote sensing for biodiversity science and conservation
    • Turner W. et al 2003 Remote sensing for biodiversity science and conservation Trends Ecol. Evol. 18 306 314
    • (2003) Trends Ecol. Evol. , vol.18 , pp. 306-314
    • Turner, W.1
  • 106
    • 0035662548 scopus 로고    scopus 로고
    • Matching observed pattern with ecological process: Can territory occupancy provide information about life history parameters?
    • Tyre A. J. Possingham H. P. Lindenmayer D. B. 2001 Matching observed pattern with ecological process: can territory occupancy provide information about life history parameters? Ecol. Appl. 11 1722 1738
    • (2001) Ecol. Appl. , vol.11 , pp. 1722-1738
    • Tyre, A.J.1    Possingham, H.P.2    Lindenmayer, D.B.3
  • 107
    • 0020870171 scopus 로고
    • Density as a misleading indicator of habitat quality
    • Van Horne B. 1983 Density as a misleading indicator of habitat quality J. Wildl. Manage. 47 893 901
    • (1983) J. Wildl. Manage. , vol.47 , pp. 893-901
    • Van Horne, B.1
  • 108
    • 0032781182 scopus 로고    scopus 로고
    • Models of large-scale breeding-bird distribution as a function of macro-climate in Ontario, Canada
    • Venier L. A. et al 2001 Models of large-scale breeding-bird distribution as a function of macro-climate in Ontario, Canada J. Biogeogr. 26 315 328
    • (2001) J. Biogeogr. , vol.26 , pp. 315-328
    • Venier, L.A.1
  • 109
    • 0026293263 scopus 로고
    • HABITAT: A procedure for modelling a disjoint environmental envelope for a plant or animal species
    • Walker P. A. Cocks K. D. 1991 HABITAT: a procedure for modelling a disjoint environmental envelope for a plant or animal species Global Ecol. Biogeogr. Lett. 1 108 118
    • (1991) Global Ecol. Biogeogr. Lett. , vol.1 , pp. 108-118
    • Walker, P.A.1    Cocks, K.D.2
  • 110
    • 33645915073 scopus 로고    scopus 로고
    • Wintle, B. A. and Bardos, D. C. in press. Modelling species habitat relationships with spatially autocorrelated observation data. - Ecol. Appl.
    • Wintle, B. A. and Bardos, D. C. in press. Modelling species habitat relationships with spatially autocorrelated observation data. - Ecol. Appl.
  • 111
    • 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
  • 112
    • 0037202451 scopus 로고    scopus 로고
    • Predicting species distribution using presence-only data: A case study of native New Zealand ferns
    • Zaniewski A. E. Lehmann A. Overton J. M. 2002 Predicting species distribution using presence-only data: a case study of native New Zealand ferns Ecol. Modell. 157 261 280
    • (2002) Ecol. Modell. , vol.157 , pp. 261-280
    • Zaniewski, A.E.1    Lehmann, A.2    Overton, J.M.3
  • 113
    • 0034662310 scopus 로고    scopus 로고
    • Summarizing the predictive power of a generalized linear model
    • Zheng B. Agresti A. 2000 Summarizing the predictive power of a generalized linear model Stat. Med. 19 1771 1781
    • (2000) Stat. Med. , vol.19 , pp. 1771-1781
    • Zheng, B.1    Agresti, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.