Predicting species spatial distributions using presence-only data: a case study of native New Zealand ferns

作者: A.Elizabeth Zaniewski , Anthony Lehmann , Jacob McC Overton

DOI: 10.1016/S0304-3800(02)00199-0

关键词: StatisticsStatistical modelBinary dataSpatial distributionSpecies diversityMathematicsSampling (statistics)Generalized linear modelGeneralized additive modelEcological niche

摘要: … Identification of areas containing high biological diversity (‘hotspots’) from species presence-… The aim of this study is to assess the potential for modeling species spatial distributions on …

参考文章(28)
G. Wilson, R. T. T. Stephens, J. R. Leathwick, Climate Surfaces for New Zealand ,(2002)
Antoine Guisan, Jean-Paul Theurillat, Equilibrium modeling of alpine plant distribution: how far can we go? Phytocoenologia. ,vol. 30, pp. 353- 384 ,(2000) , 10.1127/PHYTO/30/2000/353
Alan Fielding, Machine Learning Methods for Ecological Applications Kluwer Academic Publishers. ,(1999) , 10.1007/978-1-4615-5289-5
Peter McCullagh, John Ashworth Nelder, Generalized Linear Models ,(1983)
Peter Wardle, Vegetation of New Zealand ,(1991)
J. R. Leathwick, N. D. Mitchell, Forest pattern, climate and vulcanism in central North Island, New Zealand Journal of Vegetation Science. ,vol. 3, pp. 603- 616 ,(1992) , 10.2307/3235827
J. R. Leathwick, B. R. Burns, B. D. Clarkson, Environmental correlates of tree alpha-diversity in New Zealand primary forests Ecography. ,vol. 21, pp. 235- 246 ,(1998) , 10.1111/J.1600-0587.1998.TB00561.X
Thomas W. Yee, Neil D. Mitchell, Generalized additive models in plant ecology Journal of Vegetation Science. ,vol. 2, pp. 587- 602 ,(1991) , 10.2307/3236170