Regression models for spatial prediction: their role for biodiversity and conservation

被引:87
作者
Lehmann, A
Overton, JM
Austin, MP
机构
[1] Swiss Ctr Faunal Cartog, CH-2000 Neuchatel, Switzerland
[2] Landcare Res, Hamilton, New Zealand
[3] CSIRO, Canberra, ACT 2601, Australia
关键词
community composition; conservation; generalized additive models; geographic information systems; generalized linear models; hotspots; reserve network; spatial predictions; species distribution; species richness;
D O I
10.1023/A:1021354914494
中图分类号
X176 [生物多样性保护];
学科分类号
090705 [野生动植物保护与利用];
摘要
This paper is an introduction to a Special Issue on 'regression models for spatial predictions' published in Biodiversity and Conservation following an international workshop held in Switzerland in 2001 (http:// leba. unige. ch/ workshop). This introduction describes how the exponential growth in computing power has improved our ability to reach spatially explicit assessment of biodiversity and to develop cost-effective conservation management. New questions arising from these modern approaches are listed, while papers presenting examples of applications are briefly introduced.
引用
收藏
页码:2085 / 2092
页数:8
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