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首页> 外文期刊>Global change biology >Niche-based modelling as a tool for predicting the risk of alien plant invasions at a global scale.
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Niche-based modelling as a tool for predicting the risk of alien plant invasions at a global scale.

机译:基于小生境的建模作为预测全球范围内外来植物入侵风险的工具。

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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..
机译:通过匹配气候变量来预测成功建立植物物种的可能性,对于将其纳入预警系统以管理生物入侵具有巨大潜力。我们选择南非作为全世界入侵的典范源地,因为南非是世界上其他地区重要的植物物种出口国,因为国际上生物多样性热点地区对本土植物群的巨大需求。我们首先绘制了南非和世界其他地区同时出现的五个生态区的地图,但是对生态区的非常粗略的定义导致在预测可入侵区域方面不可靠的结果。然后,我们确定了南非主要陆地生物群落的生物气候特征,并预测了全球类似地区的潜在分布。这种方法功能更强大,但在很大程度上取决于捐助国如何定义特定的生物群落。最后,我们为南非特有的96种植物类群(物种和亚种)开发了生物气候生态位模型,并在成功评估了专门针对三种著名入侵物种(Carpobrotus edulis,Senecio glastifolius,Vellereophyton Dealbatum)的模型预测后,将这些模型推向全球)在不同的目标区域。气候适宜性的累积概率表明,高风险地区在全球范围内受到空间限制,但这些高度匹配植物生物多样性的热点。这些概率与南非自然地区记录的入侵物种数量显着相关,强调了气候在确定入侵潜力方面的关键作用。潜在的转移媒介(贸易和旅游业)的考虑大大增加了气候适应性作为入侵指数的解释力。我们发现,生态栖息地适宜性的气候成分与目前世界其他地区南非外来物种的发生方式之间的紧密匹配令人鼓舞。如果能够获得捐助国物种的分布数据,则气候位模型可以为有效而公正的第一步筛选提供强大的工具。鉴于根除已建立的入侵物种极为困难且代价昂贵,应监测被确定为潜在新地点的区域,并应采取检疫措施。

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