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Volumn 38, Issue 1, 2015, Pages 108-110

SDMvspecies: A software for creating virtual species for species distribution modelling

Author keywords

[No Author keywords available]

Indexed keywords

ECOLOGICAL MODELING; POPULATION DISTRIBUTION; SOFTWARE; VIRTUAL REALITY;

EID: 84921366293     PISSN: 09067590     EISSN: 16000587     Source Type: Journal    
DOI: 10.1111/ecog.01080     Document Type: Article
Times cited : (26)

References (11)
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    • Barbet-Massin, M.1
  • 2
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    • The crucial role of the accessible area in ecological niche modeling and species distribution modeling
    • Barve, N. et al. 2011. The crucial role of the accessible area in ecological niche modeling and species distribution modeling. - Ecol. Model. 222: 1810-1819.
    • (2011) Ecol. Model , vol.222 , pp. 1810-1819
    • Barve, N.1
  • 3
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    • Raster: geographic data analysis and modeling
    • Hijmans, R. J. 2014. Raster: geographic data analysis and modeling. - .
    • (2014)
    • Hijmans, R.J.1
  • 4
    • 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
  • 5
    • 0035891825 scopus 로고    scopus 로고
    • Assessing habitat-suitability models with a virtual species
    • Hirzel, A. et al. 2001. Assessing habitat-suitability models with a virtual species. - Ecol. Model. 145: 111-121.
    • (2001) Ecol. Model , vol.145 , pp. 111-121
    • Hirzel, A.1
  • 6
    • 34247548344 scopus 로고    scopus 로고
    • Threshold criteria for conversion of probability of species presence to either-or presence-absence
    • Jiménez-Valverde, A. and Lobo, J. M. 2007. Threshold criteria for conversion of probability of species presence to either-or presence-absence. - Acta Oecol. 31: 361-369.
    • (2007) Acta Oecol , vol.31 , pp. 361-369
    • Jiménez-Valverde, A.1    Lobo, J.M.2
  • 7
    • 84879315301 scopus 로고    scopus 로고
    • How to assess the prediction accuracy of species presence-absence models without absence data?
    • Li, W. and Guo, Q. 2013. How to assess the prediction accuracy of species presence-absence models without absence data? - Ecography 36: 788-799.
    • (2013) Ecography , vol.36 , pp. 788-799
    • Li, W.1    Guo, Q.2
  • 8
    • 78651456538 scopus 로고    scopus 로고
    • Exploring the effects of quantity and location of pseudo-absences and sampling biases on the performance of distribution models with limited point occurrence data
    • Lobo, J. M. and Tognelli, M. F. 2011. Exploring the effects of quantity and location of pseudo-absences and sampling biases on the performance of distribution models with limited point occurrence data. - J. Nat. Conserv. 19: 1-7.
    • (2011) J. Nat. Conserv , vol.19 , pp. 1-7
    • Lobo, J.M.1    Tognelli, M.F.2
  • 9
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    • Using virtual species to study species distributions and model performance
    • Meynard, C. N. and Kaplan, D. M. 2013. Using virtual species to study species distributions and model performance. - J. Biogeogr. 40: 1-8.
    • (2013) J. Biogeogr , vol.40 , pp. 1-8
    • Meynard, C.N.1    Kaplan, D.M.2
  • 10
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    • Ecological niche conservatism: a time- structured review of evidence
    • Peterson, A. T. 2011. Ecological niche conservatism: a time- structured review of evidence. - J. Biogeogr. 38: 817-827.
    • (2011) J. Biogeogr , vol.38 , pp. 817-827
    • Peterson, A.T.1
  • 11
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    • Environmental filters reduce the effects of sampling bias and improve predictions of ecological niche models
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    • Varela, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.