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Volumn 40, Issue 1, 2017, Pages 36-47

Structural uncertainty in models projecting the consequences of habitat loss and fragmentation on biodiversity

Author keywords

[No Author keywords available]

Indexed keywords

BIODIVERSITY; CONSERVATION PLANNING; ECOSYSTEM STRUCTURE; ENVIRONMENTAL CONDITIONS; GLOBAL CHANGE; HABITAT CONSERVATION; HABITAT FRAGMENTATION; HABITAT LOSS; LAND USE CHANGE; SPECIES RICHNESS; SPECIES-AREA RELATIONSHIP; UNCERTAINTY ANALYSIS; VERTEBRATE;

EID: 85001831585     PISSN: 09067590     EISSN: 16000587     Source Type: Journal    
DOI: 10.1111/ecog.02542     Document Type: Article
Times cited : (16)

References (77)
  • 1
    • 38349100608 scopus 로고    scopus 로고
    • The role of metapopulations in conservation
    • – In, MacDonald, D., Service, K., (eds),, Blackwell
    • Akçakaya, H. R. et al. 2006. The role of metapopulations in conservation. – In: MacDonald, D. and Service, K. (eds), Key topics in conservation biology. Blackwell, pp. 64–84.
    • (2006) Key topics in conservation biology , pp. 64-84
    • Akçakaya, H.R.1
  • 2
    • 33750525529 scopus 로고    scopus 로고
    • Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS): assessing the accuracy of distribution models
    • Allouche, O. et al. 2006. Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS): assessing the accuracy of distribution models. – J. Appl. Ecol. 43: 1223–1232.
    • (2006) J. Appl. Ecol , vol.43 , pp. 1223-1232
    • Allouche, O.1
  • 3
    • 33845633261 scopus 로고    scopus 로고
    • Ensemble forecasting of species distributions
    • Araújo, M. and 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.1    New, M.2
  • 4
    • 84864255928 scopus 로고    scopus 로고
    • Uses and misuses of bioclimatic envelope modeling
    • Araújo, M. B. and Peterson, A. T. 2012. Uses and misuses of bioclimatic envelope modeling. – Ecology 93: 1527–1539.
    • (2012) Ecology , vol.93 , pp. 1527-1539
    • Araújo, M.B.1    Peterson, A.T.2
  • 5
    • 0002265705 scopus 로고
    • Species and area
    • Arrhenius, O. 1921. Species and area. – J. Ecol. 9: 95.
    • (1921) J. Ecol , vol.9 , pp. 95
    • Arrhenius, O.1
  • 6
    • 84895725714 scopus 로고    scopus 로고
    • Lack of quantitative training among early-career ecologists: a survey of the problem and potential solutions
    • Barraquand, F. et al. 2014. Lack of quantitative training among early-career ecologists: a survey of the problem and potential solutions. – PeerJ 2: e285.
    • (2014) PeerJ , vol.2
    • Barraquand, F.1
  • 7
    • 84901695458 scopus 로고    scopus 로고
    • A species-centered approach for uncovering generalities in organism responses to habitat loss and fragmentation
    • Betts, M. G. et al. 2014. A species-centered approach for uncovering generalities in organism responses to habitat loss and fragmentation. – Ecography 37: 517–527.
    • (2014) Ecography , vol.37 , pp. 517-527
    • Betts, M.G.1
  • 8
    • 84860650866 scopus 로고    scopus 로고
    • Accounting for dispersal and biotic interactions to disentangle the drivers of species distributions and their abundances
    • Boulangeat, I. et al. 2012. Accounting for dispersal and biotic interactions to disentangle the drivers of species distributions and their abundances. – Ecol. Lett. 15: 584–593.
    • (2012) Ecol. Lett , vol.15 , pp. 584-593
    • Boulangeat, I.1
  • 9
    • 0032721589 scopus 로고    scopus 로고
    • Threat from deforestation to montane and lowland birds and mammals in insular south-east Asia
    • Brooks, T. M. et al. 1999. Threat from deforestation to montane and lowland birds and mammals in insular south-east Asia. – J. Anim. Ecol. 68: 1061–1078.
    • (1999) J. Anim. Ecol , vol.68 , pp. 1061-1078
    • Brooks, T.M.1
  • 11
    • 84896124501 scopus 로고    scopus 로고
    • Stacking species distribution models and adjusting bias by linking them to macroecological models
    • Calabrese, J. M. et al. 2014. Stacking species distribution models and adjusting bias by linking them to macroecological models. – Global Ecol. Biogeogr. 23: 99–112.
    • (2014) Global Ecol. Biogeogr , vol.23 , pp. 99-112
    • Calabrese, J.M.1
  • 12
    • 84861957439 scopus 로고    scopus 로고
    • Biodiversity loss and its impact on humanity
    • Cardinale, B. J. et al. 2012. Biodiversity loss and its impact on humanity. – Nature 486: 59–67.
    • (2012) Nature , vol.486 , pp. 59-67
    • Cardinale, B.J.1
  • 13
    • 0024220260 scopus 로고
    • Theory and models in ecology: a different perspective
    • Caswell, H. 1988. Theory and models in ecology: a different perspective. – Ecol. Model. 43: 33–44.
    • (1988) Ecol. Model , vol.43 , pp. 33-44
    • Caswell, H.1
  • 14
    • 70349668945 scopus 로고    scopus 로고
    • Use of resource selection functions to identify conservation corridors
    • Chetkiewicz, C.-L. B. and Boyce, M. S. 2009. Use of resource selection functions to identify conservation corridors. – J. Appl. Ecol. 46: 1036–1047.
    • (2009) J. Appl. Ecol , vol.46 , pp. 1036-1047
    • Chetkiewicz, C.-L.B.1    Boyce, M.S.2
  • 15
    • 84860905919 scopus 로고    scopus 로고
    • Mathematical and theoretical ecology: linking models with ecological processes
    • Codling, E. A. and Dumbrell, A. J. 2012. Mathematical and theoretical ecology: linking models with ecological processes. – Interf. Focus 2: 144–149.
    • (2012) Interf. Focus , vol.2 , pp. 144-149
    • Codling, E.A.1    Dumbrell, A.J.2
  • 17
    • 0000889660 scopus 로고
    • The statistics and biology of the species–area relationship
    • Connor, E. F. and McCoy, E. D. 1979. The statistics and biology of the species–area relationship. – Am. Nat. 113: 791–833.
    • (1979) Am. Nat , vol.113 , pp. 791-833
    • Connor, E.F.1    McCoy, E.D.2
  • 18
    • 84555203713 scopus 로고    scopus 로고
    • Inclusion of habitat availability in species distribution models through multi-temporal remote-sensing data? – Ecol
    • Cord, A. and Rödder, D. 2011. Inclusion of habitat availability in species distribution models through multi-temporal remote-sensing data? – Ecol. Appl. 21: 3285–3298.
    • (2011) Appl , vol.21 , pp. 3285-3298
    • Cord, A.1    Rödder, D.2
  • 20
    • 84939238228 scopus 로고    scopus 로고
    • A stochastic movement simulator improves estimates of landscape connectivity
    • Coulon, A. et al. 2015. A stochastic movement simulator improves estimates of landscape connectivity. – Ecology 96: 2203–2213.
    • (2015) Ecology , vol.96 , pp. 2203-2213
    • Coulon, A.1
  • 21
    • 84929094716 scopus 로고    scopus 로고
    • An empirical investigation of why species–area relationships overestimate species losses
    • DeCamargo, R. X. and Currie, D. J. 2015. An empirical investigation of why species–area relationships overestimate species losses. – Ecology 96: 1253–1263.
    • (2015) Ecology , vol.96 , pp. 1253-1263
    • DeCamargo, R.X.1    Currie, D.J.2
  • 22
    • 62149134492 scopus 로고    scopus 로고
    • Which function describes the species–area relationship best? A review and empirical evaluation
    • Dengler, J. 2009. Which function describes the species–area relationship best? A review and empirical evaluation. – J. Biogeogr. 36: 728–744.
    • (2009) J. Biogeogr , vol.36 , pp. 728-744
    • Dengler, J.1
  • 23
    • 84926518687 scopus 로고    scopus 로고
    • Stacked species distribution models and macroecological models provide congruent projections of avian species richness under climate change
    • Distler, T. et al. 2015. Stacked species distribution models and macroecological models provide congruent projections of avian species richness under climate change. – J. Biogeogr. 42: 976–988.
    • (2015) J. Biogeogr , vol.42 , pp. 976-988
    • Distler, T.1
  • 24
    • 84899491894 scopus 로고    scopus 로고
    • Assemblage time series reveal biodiversity change but not systematic loss
    • Dornelas, M. et al. 2014. Assemblage time series reveal biodiversity change but not systematic loss. – Science 344: 296–299.
    • (2014) Science , vol.344 , pp. 296-299
    • Dornelas, M.1
  • 25
    • 79959662457 scopus 로고    scopus 로고
    • Patch configuration affects alpine plant distribution
    • Dullinger, S. et al. 2011. Patch configuration affects alpine plant distribution. – Ecography 34: 576–587.
    • (2011) Ecography , vol.34 , pp. 576-587
    • Dullinger, S.1
  • 26
    • 73949141293 scopus 로고    scopus 로고
    • Species distribution models: ecological explanation and prediction across space and time
    • Elith, J. and Leathwick, J. R. 2009. Species distribution models: ecological explanation and prediction across space and time. – Annu. Rev. Ecol. Evol. Syst. 40: 677–697.
    • (2009) Annu. Rev. Ecol. Evol. Syst , vol.40 , pp. 677-697
    • Elith, J.1    Leathwick, J.R.2
  • 28
    • 0842322908 scopus 로고    scopus 로고
    • Effects of habitat fragmentation on biodiversity
    • Fahrig, L. 2003. Effects of habitat fragmentation on biodiversity. – Annu. Rev. Ecol. Evol. Syst. 34: 487–515.
    • (2003) Annu. Rev. Ecol. Evol. Syst , vol.34 , pp. 487-515
    • Fahrig, L.1
  • 29
    • 84881615897 scopus 로고    scopus 로고
    • Rethinking patch size and isolation effects: the habitat amount hypothesis
    • Fahrig, L. 2013. Rethinking patch size and isolation effects: the habitat amount hypothesis. – J. Biogeogr. 40: 1649–1663.
    • (2013) J. Biogeogr , vol.40 , pp. 1649-1663
    • Fahrig, L.1
  • 30
    • 84883300165 scopus 로고    scopus 로고
    • Tools for integrating range change, extinction risk and climate change information into conservation management
    • Fordham, D. A. et al. 2013. Tools for integrating range change, extinction risk and climate change information into conservation management. – Ecography 36: 956–964.
    • (2013) Ecography , vol.36 , pp. 956-964
    • Fordham, D.A.1
  • 31
    • 84867641020 scopus 로고    scopus 로고
    • Invasive species distribution models – how violating the equilibrium assumption can create new insights: beyond the equilibrium assumption of SDMs
    • Gallien, L. et al. 2012. Invasive species distribution models – how violating the equilibrium assumption can create new insights: beyond the equilibrium assumption of SDMs. – Global Ecol. Biogeogr. 21: 1126–1136.
    • (2012) Global Ecol. Biogeogr , vol.21 , pp. 1126-1136
    • Gallien, L.1
  • 32
    • 84055200489 scopus 로고    scopus 로고
    • Spatial network structure and metapopulation persistence
    • Gilarranz, L. and Bascompte, J. 2012. Spatial network structure and metapopulation persistence. – J. Theor. Biol. 297: 11–16.
    • (2012) J. Theor. Biol , vol.297 , pp. 11-16
    • Gilarranz, L.1    Bascompte, J.2
  • 33
    • 80052787665 scopus 로고    scopus 로고
    • Trophic theory of island biogeography
    • Gravel, D. et al. 2011. Trophic theory of island biogeography. – Ecol. Lett. 14: 1010–1016.
    • (2011) Ecol. Lett , vol.14 , pp. 1010-1016
    • Gravel, D.1
  • 34
    • 33645110300 scopus 로고    scopus 로고
    • Using niche-based models to improve the sampling of rare species
    • Guisan, A. et al. 2006. Using niche-based models to improve the sampling of rare species. – Conserv. Biol. 20: 501–511.
    • (2006) Conserv. Biol , vol.20 , pp. 501-511
    • Guisan, A.1
  • 35
    • 84879314346 scopus 로고    scopus 로고
    • Scale dependency of metapopulation models used to predict climate change impacts on small mammals
    • Haby, N. A. et al. 2013. Scale dependency of metapopulation models used to predict climate change impacts on small mammals. – Ecography 36: 832–841.
    • (2013) Ecography , vol.36 , pp. 832-841
    • Haby, N.A.1
  • 36
    • 85040680682 scopus 로고    scopus 로고
    • Habitat fragmentation and its lasting impact on Earth's ecosystems
    • Haddad, N. M. et al. 2015. Habitat fragmentation and its lasting impact on Earth's ecosystems. – Sci. Adv. 1: e1500052.
    • (2015) Sci. Adv , vol.1
    • Haddad, N.M.1
  • 39
    • 84881104934 scopus 로고    scopus 로고
    • Species–fragmented area relationship
    • Hanski, I. et al. 2013. Species–fragmented area relationship. – Proc. Natl Acad. Sci. USA 110: 12715–12720.
    • (2013) Proc. Natl Acad. Sci. USA , vol.110 , pp. 12715-12720
    • Hanski, I.1
  • 40
    • 57649136632 scopus 로고    scopus 로고
    • Strong effect of dispersal network structure on ecological dynamics
    • Holland, M. D. and Hastings, A. 2008. Strong effect of dispersal network structure on ecological dynamics. – Nature 456: 792–794.
    • (2008) Nature , vol.456 , pp. 792-794
    • Holland, M.D.1    Hastings, A.2
  • 41
    • 65349135970 scopus 로고    scopus 로고
    • Impacts of road access on lake trout (Salvelinus namaycush) populations: regional scale effects of overexploitation and the introduction of smallmouth bass (Micropterus dolomieu)
    • Kaufman, S. D. et al. 2009. Impacts of road access on lake trout (Salvelinus namaycush) populations: regional scale effects of overexploitation and the introduction of smallmouth bass (Micropterus dolomieu). – Can. J. Fish. Aquat. Sci. 66: 212–223.
    • (2009) Can. J. Fish. Aquat. Sci , vol.66 , pp. 212-223
    • Kaufman, S.D.1
  • 42
    • 62149086187 scopus 로고    scopus 로고
    • Mechanistic niche modelling: combining physiological and spatial data to predict species’ ranges
    • Kearney, M. and Porter, W. 2009. Mechanistic niche modelling: combining physiological and spatial data to predict species’ ranges. – Ecol. Lett. 12: 334–350.
    • (2009) Ecol. Lett , vol.12 , pp. 334-350
    • Kearney, M.1    Porter, W.2
  • 43
    • 51549090248 scopus 로고    scopus 로고
    • Predicting extinction risks under climate change: coupling stochastic population models with dynamic bioclimatic habitat models
    • Keith, D. A. et al. 2008. Predicting extinction risks under climate change: coupling stochastic population models with dynamic bioclimatic habitat models. – Biol. Lett. 4: 560–563.
    • (2008) Biol. Lett , vol.4 , pp. 560-563
    • Keith, D.A.1
  • 44
    • 84937549007 scopus 로고    scopus 로고
    • Climate change impacts on bumblebees converge across continents
    • Kerr, J. T. et al. 2015. Climate change impacts on bumblebees converge across continents. – Science 349: 177–180.
    • (2015) Science , vol.349 , pp. 177-180
    • Kerr, J.T.1
  • 45
    • 77954646396 scopus 로고    scopus 로고
    • A matrix-calibrated species–area model for predicting biodiversity losses due to land-use change: matrix-calibrated species–area model
    • Koh, L. P. and Ghazoul, J. 2010. A matrix-calibrated species–area model for predicting biodiversity losses due to land-use change: matrix-calibrated species–area model. – Conserv. Biol. 24: 994–1001.
    • (2010) Conserv. Biol , vol.24 , pp. 994-1001
    • Koh, L.P.1    Ghazoul, J.2
  • 46
    • 84945493838 scopus 로고    scopus 로고
    • Focal species and landscape “naturalness” corridor models offer complementary approaches for connectivity conservation planning
    • Krosby, M. et al. 2015. Focal species and landscape “naturalness” corridor models offer complementary approaches for connectivity conservation planning. – Landscape Ecol. 30: 2121–2132.
    • (2015) Landscape Ecol , vol.30 , pp. 2121-2132
    • Krosby, M.1
  • 47
    • 84875804318 scopus 로고    scopus 로고
    • Core concepts of spatial prioritisation in systematic conservation planning: concepts of systematic conservation planning
    • Kukkala, A. S. and Moilanen, A. 2013. Core concepts of spatial prioritisation in systematic conservation planning: concepts of systematic conservation planning. – Biol. Rev. 88: 443–464.
    • (2013) Biol. Rev , vol.88 , pp. 443-464
    • Kukkala, A.S.1    Moilanen, A.2
  • 48
    • 77949755723 scopus 로고    scopus 로고
    • High resolution niche models of malaria vectors in northern Tanzania: a new capacity to predict malaria risk?
    • Kulkarni, M. A. et al. 2010. High resolution niche models of malaria vectors in northern Tanzania: a new capacity to predict malaria risk? – PLoS One 5: e9396.
    • (2010) PLoS One , vol.5
    • Kulkarni, M.A.1
  • 50
    • 39049112147 scopus 로고    scopus 로고
    • Accounting for system dynamics in reserve design
    • Leroux, S. J. et al. 2007. Accounting for system dynamics in reserve design. – Ecol. Appl. 17: 1954–1966.
    • (2007) Ecol. Appl , vol.17 , pp. 1954-1966
    • Leroux, S.J.1
  • 51
    • 84878907162 scopus 로고    scopus 로고
    • Mechanistic models for the spatial spread of species under climate change
    • Leroux, S. J. et al. 2013. Mechanistic models for the spatial spread of species under climate change. – Ecol. Appl. 23: 815–828.
    • (2013) Ecol. Appl , vol.23 , pp. 815-828
    • Leroux, S.J.1
  • 52
    • 0000065728 scopus 로고
    • Some demographic and genetic consequences of environmental heterogeneity for biological control
    • Levins, R. 1969. Some demographic and genetic consequences of environmental heterogeneity for biological control. – Bull. Entomol. Soc. Am. 15: 237–240.
    • (1969) Bull. Entomol. Soc. Am , vol.15 , pp. 237-240
    • Levins, R.1
  • 53
    • 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
  • 55
    • 84977160709 scopus 로고    scopus 로고
    • Species distribution models predict rare species occurrences despite significant effects of landscape context
    • McCune, J. L. 2016. Species distribution models predict rare species occurrences despite significant effects of landscape context. – J. Appl. Ecol. doi: 10.1111/1365-2664.12702
    • (2016) J. Appl. Ecol
    • McCune, J.L.1
  • 56
    • 84893960701 scopus 로고    scopus 로고
    • Ensemble distribution models in conservation prioritization: from consensus predictions to consensus reserve networks
    • Meller, L. et al. 2014. Ensemble distribution models in conservation prioritization: from consensus predictions to consensus reserve networks. – Divers. Distrib. 20: 309–321.
    • (2014) Divers. Distrib , vol.20 , pp. 309-321
    • Meller, L.1
  • 57
    • 84899938326 scopus 로고    scopus 로고
    • Predicting biodiversity change and averting collapse in agricultural landscapes
    • Mendenhall, C. D. et al. 2014. Predicting biodiversity change and averting collapse in agricultural landscapes. – Nature 509: 213–217.
    • (2014) Nature , vol.509 , pp. 213-217
    • Mendenhall, C.D.1
  • 58
    • 84912534583 scopus 로고    scopus 로고
    • What do we gain from simplicity versus complexity in species distribution models?
    • Merow, C. et al. 2014. What do we gain from simplicity versus complexity in species distribution models? – Ecography 37: 1267–1281.
    • (2014) Ecography , vol.37 , pp. 1267-1281
    • Merow, C.1
  • 59
    • 34447638499 scopus 로고    scopus 로고
    • Predicting species distributions: a critical comparison of the most common statistical models using artificial species: comparison of species-distribution models
    • Meynard, C. N. and Quinn, J. F. 2007. Predicting species distributions: a critical comparison of the most common statistical models using artificial species: comparison of species-distribution models. – J. Biogeogr. 34: 1455–1469.
    • (2007) J. Biogeogr , vol.34 , pp. 1455-1469
    • Meynard, C.N.1    Quinn, J.F.2
  • 60
    • 85003780195 scopus 로고    scopus 로고
    • Millennium Ecosystem Assessment, World Resources Inst., Washington, D.C
    • Millennium Ecosystem Assessment 2005. Ecosystems and human well-being: biodiversity synthesis. – World Resources Inst., Washington, D.C.
    • (2005) Ecosystems and human well-being: biodiversity synthesis
  • 61
    • 0031657729 scopus 로고    scopus 로고
    • Metapopulation dynamics: effects of habitat quality and landscape structure
    • Moilanen, A. and Hanski, I. 1998. Metapopulation dynamics: effects of habitat quality and landscape structure. – Ecology 79: 2503–2515.
    • (1998) Ecology , vol.79 , pp. 2503-2515
    • Moilanen, A.1    Hanski, I.2
  • 62
    • 84926360683 scopus 로고    scopus 로고
    • Global effects of land use on local terrestrial biodiversity
    • Newbold, T. et al. 2015. Global effects of land use on local terrestrial biodiversity. – Nature 520: 45–50.
    • (2015) Nature , vol.520 , pp. 45-50
    • Newbold, T.1
  • 63
    • 78650171292 scopus 로고    scopus 로고
    • Scenarios for global biodiversity in the 21st century
    • Pereira, H. M. et al. 2010. Scenarios for global biodiversity in the 21st century. – Science 330: 1496–1501.
    • (2010) Science , vol.330 , pp. 1496-1501
    • Pereira, H.M.1
  • 64
    • 84900561067 scopus 로고    scopus 로고
    • Understanding co-occurrence by modelling species simultaneously with a joint species distribution model (JSDM)
    • Pollock, L. J. et al. 2014. Understanding co-occurrence by modelling species simultaneously with a joint species distribution model (JSDM). – Methods Ecol. Evol. 5: 397–406.
    • (2014) Methods Ecol. Evol , vol.5 , pp. 397-406
    • Pollock, L.J.1
  • 67
    • 84953357098 scopus 로고    scopus 로고
    • Cross-scale integration of knowledge for predicting species ranges: a metamodeling framework
    • Talluto, M. et al. 2016. Cross-scale integration of knowledge for predicting species ranges: a metamodeling framework. – Global Ecol. Biogeogr. 25: 238–249.
    • (2016) Global Ecol. Biogeogr , vol.25 , pp. 238-249
    • Talluto, M.1
  • 68
    • 84859621293 scopus 로고    scopus 로고
    • A framework for predicting species extinction by linking population dynamics with habitat loss
    • Tanentzap, A. J. et al. 2012. A framework for predicting species extinction by linking population dynamics with habitat loss. – Conserv. Lett. 5: 149–156.
    • (2012) Conserv. Lett , vol.5 , pp. 149-156
    • Tanentzap, A.J.1
  • 69
    • 84948462796 scopus 로고    scopus 로고
    • Robustness of the spatial insurance effects of biodiversity to habitat loss
    • Thompson, P. et al. 2014. Robustness of the spatial insurance effects of biodiversity to habitat loss. – Evol. Ecol. Res. 16: 445–460.
    • (2014) Evol. Ecol. Res , vol.16 , pp. 445-460
    • Thompson, P.1
  • 70
    • 64649098806 scopus 로고    scopus 로고
    • BIOMOD – a platform for ensemble forecasting of species distributions
    • Thuiller, W. et al. 2009. BIOMOD – a platform for ensemble forecasting of species distributions. – Ecography 32: 369–373.
    • (2009) Ecography , vol.32 , pp. 369-373
    • Thuiller, W.1
  • 71
    • 84877913778 scopus 로고    scopus 로고
    • A road map for integrating eco-evolutionary processes into biodiversity models
    • Thuiller, W. et al. 2013. A road map for integrating eco-evolutionary processes into biodiversity models. – Ecol. Lett. 16: 94–105.
    • (2013) Ecol. Lett , vol.16 , pp. 94-105
    • Thuiller, W.1
  • 72
    • 84912523408 scopus 로고    scopus 로고
    • Does probability of occurrence relate to population dynamics?
    • Thuiller, W. et al. 2014. Does probability of occurrence relate to population dynamics? – Ecography 37: 1155–1166.
    • (2014) Ecography , vol.37 , pp. 1155-1166
    • Thuiller, W.1
  • 73
    • 67649973841 scopus 로고    scopus 로고
    • The importance of samples and isolates for species–area relationships
    • Tjørve, E. and Turner, W. R. 2009. The importance of samples and isolates for species–area relationships. – Ecography 32: 391–400.
    • (2009) Ecography , vol.32 , pp. 391-400
    • Tjørve, E.1    Turner, W.R.2
  • 74
    • 84924982280 scopus 로고    scopus 로고
    • Infusing considerations of trophic dependencies into species distribution modelling
    • Trainor, A. M. and Schmitz, O. J. 2014. Infusing considerations of trophic dependencies into species distribution modelling. – Ecol. Lett. 17: 1507–1517.
    • (2014) Ecol. Lett , vol.17 , pp. 1507-1517
    • Trainor, A.M.1    Schmitz, O.J.2
  • 75
    • 84942368942 scopus 로고    scopus 로고
    • From dispersal constraints to landscape connectivity: lessons from species distribution modeling
    • Vasudev, D. et al. 2015. From dispersal constraints to landscape connectivity: lessons from species distribution modeling. – Ecography 38: 967–978.
    • (2015) Ecography , vol.38 , pp. 967-978
    • Vasudev, D.1
  • 76
    • 84888341917 scopus 로고    scopus 로고
    • Global meta-analysis reveals no net change in local-scale plant biodiversity over time
    • Vellend, M. et al. 2013. Global meta-analysis reveals no net change in local-scale plant biodiversity over time. – Proc. Natl Acad. Sci. USA 110: 19456–19459.
    • (2013) Proc. Natl Acad. Sci. USA , vol.110 , pp. 19456-19459
    • Vellend, M.1
  • 77
    • 13444254479 scopus 로고    scopus 로고
    • Conservation biogeography: assessment and prospect
    • Whittaker, R. J. et al. 2005. Conservation biogeography: assessment and prospect. – Divers. Distrib. 11: 3–23.
    • (2005) Divers. Distrib , vol.11 , pp. 3-23
    • Whittaker, R.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.