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.