Niche-based modelling as a tool for predicting the risk of alien plant invasions at a global scale

被引:561
作者
Thuiller, W
Richardson, DM
Pysek, P
Midgley, GF
Hughes, GO
Rouget, M
机构
[1] S African Natl Biodivers Inst, Climate Change Res Grp, Kirstenbosch Res Ctr, ZA-7735 Cape Town, South Africa
[2] Univ Grenoble 1, CNRS, Lab Ecol Alpine, F-38041 Grenoble, France
[3] Univ Stellenbosch, Ctr Invas Biol, Dept Biol & Zool, ZA-8602 Matieland, South Africa
[4] Acad Sci Czech Republ, Inst Bot, CZ-25243 Pruhonice, Czech Republic
[5] Charles Univ Prague, Dept Ecol, CZ-12802 Prague, Czech Republic
[6] Conservat Int, Ctr Appl Biodivers Conservat, Washington, DC 20036 USA
关键词
bioclimatic modelling; biological invasions; exotic species; invasive alien species; plant invasions; prediction; propagule pressure; risk assessment;
D O I
10.1111/j.1365-2486.2005.001018.x
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Predicting the probability of successful establishment of plant species by matching climatic variables has considerable potential for incorporation in early warning systems for the management of biological invasions. We select South Africa as a model source area of invasions worldwide because it is an important exporter of plant species to other parts of the world because of the huge international demand for indigenous flora from this biodiversity hotspot. We first mapped the five ecoregions that occur both in South Africa and other parts of the world, but the very coarse definition of the ecoregions led to unreliable results in terms of predicting invasible areas. We then determined the bioclimatic features of South Africa's major terrestrial biomes and projected the potential distribution of analogous areas throughout the world. This approach is much more powerful, but depends strongly on how particular biomes are defined in donor countries. Finally, we developed bioclimatic niche models for 96 plant taxa (species and subspecies) endemic to South Africa and invasive elsewhere, and projected these globally after successfully evaluating model projections specifically for three well-known invasive species (Carpobrotus edulis, Senecio glastifolius, Vellereophyton dealbatum) in different target areas. Cumulative probabilities of climatic suitability show that high-risk regions are spatially limited globally but that these closely match hotspots of plant biodiversity. These probabilities are significantly correlated with the number of recorded invasive species from South Africa in natural areas, emphasizing the pivotal role of climate in defining invasion potential. Accounting for potential transfer vectors (trade and tourism) significantly adds to the explanatory power of climate suitability as an index of invasibility. The close match that we found between the climatic component of the ecological habitat suitability and the current pattern of occurrence of South Africa alien species in other parts of the world is encouraging. If species' distribution data in the donor country are available, climatic niche modelling offers a powerful tool for efficient and unbiased first-step screening. Given that eradication of an established invasive species is extremely difficult and expensive, areas identified as potential new sites should be monitored and quarantine measures should be adopted.
引用
收藏
页码:2234 / 2250
页数:17
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