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Volumn 26, Issue 3, 2003, Pages 380-383

Predicting species diversity with ED: The quest for evidence

Author keywords

[No Author keywords available]

Indexed keywords

PREDICTION; SPECIES DIVERSITY;

EID: 0038725561     PISSN: 09067590     EISSN: None     Source Type: Journal    
DOI: 10.1034/j.1600-0587.2003.03625.x     Document Type: Review
Times cited : (31)

References (12)
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    • Araújo, M.B.1    Williams, P.H.2
  • 2
    • 0035056383 scopus 로고    scopus 로고
    • Would environmental diversity be a good surrogate for species diversity?
    • Araújo, M. B. et al. 2001. Would environmental diversity be a good surrogate for species diversity? - Ecography 24: 103-110.
    • (2001) Ecography , vol.24 , pp. 103-110
    • Araújo, M.B.1
  • 3
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    • Estimating the number of species not yet described and their characteristics: The case of Western Palearctic dung beetle species (Coleoptera, Scarabaeoidea)
    • Cabrero-sañudo, F. J. and Lobo, J. M. 2003. Estimating the number of species not yet described and their characteristics: the case of Western Palearctic dung beetle species (Coleoptera, Scarabaeoidea). - Biodiv. Conserv. 12: 147-166.
    • (2003) Biodiv. Conserv. , vol.12 , pp. 147-166
    • Cabrero-Sañudo, F.J.1    Lobo, J.M.2
  • 4
    • 0002953633 scopus 로고    scopus 로고
    • Integrating normative location models into GIS: Problems and prospects with the p-median model
    • Longley, P. A. and Batty, M. (eds). GeoInformation International, Cambridge
    • Church, R. L. and Sorensen, P. 1996. Integrating normative location models into GIS: problems and prospects with the p-median model. - In: Longley, P. A. and Batty, M. (eds), Spatial analysis: modelling in a GIS environment. GeoInformation International, Cambridge, pp. 167-183.
    • (1996) Spatial Analysis: Modelling in a GIS Environment , pp. 167-183
    • Church, R.L.1    Sorensen, P.2
  • 5
    • 0002982230 scopus 로고
    • A more efficient heuristic for solving large p-median problems
    • Densham, P. J. and Rushton, G. 1992. A more efficient heuristic for solving large p-median problems. - Pap. Reg. Sci. 71: 307-329.
    • (1992) Pap. Reg. Sci. , vol.71 , pp. 307-329
    • Densham, P.J.1    Rushton, G.2
  • 6
    • 0038210317 scopus 로고    scopus 로고
    • Environmental diversity (ED) as surrogate information for species-level biodiversity
    • Faith, D. F. 2003. Environmental diversity (ED) as surrogate information for species-level biodiversity. - Ecography 26: 374-379.
    • (2003) Ecography , vol.26 , pp. 374-379
    • Faith, D.F.1
  • 7
    • 0030460213 scopus 로고    scopus 로고
    • Environmental diversity: On the best-possible use of surrogate data for assessing the relative biodiversity of sets of areas
    • Faith, D. P. and Walker, P. A. 1996. Environmental diversity: on the best-possible use of surrogate data for assessing the relative biodiversity of sets of areas. - Biodiv. Conserv. 5: 399-415.
    • (1996) Biodiv. Conserv. , vol.5 , pp. 399-415
    • Faith, D.P.1    Walker, P.A.2
  • 8
    • 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. 42: 331-356.
    • (2002) Syst. Biol. , vol.42 , pp. 331-356
    • Ferrier, S.1
  • 9
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    • An evaluation of the effectiveness of environmental surrogates and modelling techniques in predicting the distribution of biological diversity
    • 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.
    • (1997) Environment Australia
    • Ferrier, S.1    Watson, G.2
  • 10
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    • Which is the optimal sampling strategy for habitat suitability modelling?
    • Hirzel, A. and Guisan, A. 2002. Which is the optimal sampling strategy for habitat suitability modelling? - Ecol. Modell. 157: 331-341.
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    • Hirzel, A.1    Guisan, A.2
  • 12
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    • Teitz, M.B.1    Bart, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.