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Predicting invasiveness of Australian acacias on the basis of their native climatic affinities, life history traits and human use

机译:根据其本地气候亲和力,生活史特征和人类使用情况,预测澳大利亚相思的入侵性

摘要

[Aim]: Many Australian Acacia species have been widely planted around the world. Some taxa are among the most aggressive of invasive alien plants and cause severe ecosystem degradation. We aimed to predict invasiveness of taxa in a large set of Australian Acacia species on the basis of easy-to-assess predictors. [Location]: Global. [Methods]: We considered three groups of predictors: (1) climatic affinities of species in their native ranges; (2) life history traits; and (3) human usage factors. Logistic multiple regressions were applied to construct predictive models for 85 Australian acacias (species in Acacia subgenus Phyllodineae) that are known to have been transported outside of their native range (17 known to be invasive and 68 non-invasive). The best model was then applied to predict the probability of an additional 34 Acacia species with unknown invasive status. [Results]: Water availability in the native range and human uses were significant predictors of invasiveness in all models. Life history index (proportional to plant height, leaf area and seed mass) and climatic amplitude were also positive predictors of invasiveness when human use was not considered. The best model, based on human uses and water availability, correctly classified 92% of the species. Results suggest that Acacia species that evolved under low climatic stress have a greater chance of becoming invasive. [Main conclusions]: Species that are useful to humans are more likely to be disseminated to and within new regions, thus increasing the risk of invasion. Combining ecological, evolutionary and human-use criteria is useful for quantifying the risk of Australian acacias becoming invasive. Acacia species can attain invasive status by virtue of intrinsic traits and/or through increased use by humans. Therefore, we predict that the invasion risk of species coming from native areas with high water availability will rise sharply if the interest in exploiting these species increases. © 2011 Blackwell Publishing Ltd.
机译:[目的]:许多澳大利亚相思树种已在世界范围内广泛种植。一些分类单元是最入侵的外来入侵植物,会导致严重的生态系统退化。我们旨在基于易于评估的预测因子来预测大量澳大利亚相思树种的分类单元入侵性。 [位置]:全球。 [方法]:我们考虑了三类预测因素:(1)物种在其自然范围内的气候亲和力; (二)生活史特征; (3)人为因素。应用逻辑多元回归分析构建了85个澳大利亚相思树(Phyllodineae的相思树属中的树种)的预测模型,已知这些相思树已被运出其自然范围之外(已知为侵入性,而非侵入性为68个)。然后将最佳模型用于预测其他34种相思树种的相思树种的可能性。 [结果]:在所有模型中,天然水的可利用性和人类使用是侵袭性的重要预测指标。当不考虑人类使用时,生活史指数(与植物高度,叶面积和种子量成正比)和气候幅度也是侵袭性的积极预测指标。基于人类使用和水的可获得性的最佳模型正确地将92%的物种分类。结果表明,在低气候压力下进化的相思树种具有更大的入侵机会。 [主要结论]:对人类有用的物种更可能在新区域内和内部传播,从而增加了入侵的风险。将生态,进化和人类使用标准相结合,对于量化澳大利亚相思植物入侵的风险非常有用。相思树种可以通过固有特性和/或通过增加人类使用来获得入侵状态。因此,我们预测,如果对这些物种开发的兴趣增加,则来自具有高水利用率的本地地区的物种的入侵风险将急剧上升。 ©2011布莱克威尔出版有限公司。

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