Applications and limitations of museum data for conservation and ecology, with particular attention to species distribution models

被引:299
作者
Newbold, Tim [1 ]
机构
[1] Univ Nottingham, Sch Biol, Nottingham NG7 2RD, England
基金
英国自然环境研究理事会;
关键词
ecological niche modelling; georeferencing; GIS; museum data; natural history collections; species distribution modelling; GLOBAL CLIMATE-CHANGE; GEOREFERENCING LOCALITY DESCRIPTIONS; BIOCLIMATE ENVELOPE MODELS; NICHE-BASED MODELS; SPATIAL AUTOCORRELATION; HABITAT SUITABILITY; PHYLOGENETIC PERSPECTIVE; GEOGRAPHIC DISTRIBUTIONS; EVOLUTIONARY RESPONSES; FOREST BIODIVERSITY;
D O I
10.1177/0309133309355630
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
To conserve biodiversity, it is necessary to understand how species are distributed and which aspects of the environment determine distributions. In large parts of the world and for the majority of species, data describing distributions are very scarce. Museums, private collections and the historical literature offer a vast source of information on distributions. Records of the occurrence of species from these sources are increasingly being captured in electronic databases and made available over the internet. These records may be very valuable in conservation efforts. However, there are a number of limitations with museum data. These limitations are dealt with in the first part of this review. Even if the limitations of museum data can be overcome, these data present a far-from-complete picture of the distributions of species. Species distribution models offer a means to extrapolate limited information in order to estimate the distributions of species over large areas. The second part of this paper reviews the challenges of developing species distribution models for use with museum data and describes some of the questions that species distribution models have been used to address. Given the rapidly increasing number of museum records of species occurrence available over the internet, a review of their usefulness in conservation and ecology is timely.
引用
收藏
页码:3 / 22
页数:20
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