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Global analysis of factors affecting the outcome of freshwater fish introductions

机译:对影响淡水鱼引进结果的因素的全球分析

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As humans move species around the globe, biotic homogenization decreases diversity. It is therefore crucial to understand factors influencing invasion success at a global scale. I analyzed factors predicting establishment of freshwater fishes transferred internationally based on 1424 cases of first introductions from one country to another as reported in FishBase, an encyclopedic database of finfish biology I used multiple logistic regression to explore four classes of predictor variables: species traits, environmental traits, match between species and environment, and propagule pressure. The best regression model, selected by Akaike's information criterion, included four factors that explained variation in establishment of 789 cases for which complete information was available. Establishment was higher for fishes in families will.? small body size and for omnivores. Establishment rose with endemism of The recipient country's fish fauna. Species were more likely to establish when humans intended their establishment (384/506 = 76%) rather Than when fish, were cultivated or used with no explicit desire for naturalization (524/918 57%). Three factors proved unrelated to establishment latitudinal difference between countries of origin and introduction, native species richness of The recipient country (adjusted for area), and date of first introduction. Classification-tree analysis correctly classified (success vs. failure) 60% of 789 cases, based on the same predictor variables as in multiple logistic regression. My significant results reinforce current ideas that invasion risk is high for rapidly reproducing, generalist species introduced into isolated environments. The success of intentional introductions implies that h higher propagule pressure generates riskier invasions, Both models were tested by applying them to 445 cases not used for model development. With the regression model, invasion fate was correctly predicted for low-risk (only 40% established) and high-risk (90% established) introductions. With the classification tree, 67% were correctly classified. These analyses could be used to guide quantitative risk assessment of future international transfers of freshwater fishes. The overall high rate of establishment (64%) and strong influence of propagule pressure, however, suggest that few planned introductions of freshwater fishes have low establishment risk.
机译:随着人类在全球范围内移动物种,生物同质化降低了多样性。因此,至关重要的是要了解在全球范围内影响入侵成功的因素。我根据鱼类生态学百科全书数据库FishBase报道的1424个从一个国家首次引进到另一个国家的案例,分析了预测国际上转移的淡水鱼的建立的因素,我使用多元逻辑回归分析了四类预测变量:物种特征,环境性状,物种与环境之间的匹配以及繁殖力。由Akaike的信息标准选择的最佳回归模型包括四个因素,这些因素可以解释789个病例的建立情况,这些病例可获得完整的信息。建立家庭中鱼类的意愿较高。体积小,适合杂食。建立起来是受援国鱼类区系的地方性。物种比人类在没有明确要求归化的情况下养殖或使用鱼类时更容易建立人类(384/506 = 76%)的时间(524/918 57%)。事实证明,三个因素与原产国和引进国之间的建立纬度差异,接受国的本地物种丰富度(按面积调整)和首次引入日期无关。分类树分析基于与多对数回归相同的预测变量,对789例案例中的60%进行了正确分类(成功与失败)。我的重要成果进一步证实了目前的观点,即将入侵物种带入隔离环境中的快速繁殖,通才物种的入侵风险很高。有意引入的成功意味着更高的繁殖压力产生更高风险的侵袭。通过将这两个模型应用于445个未用于模型开发的案例进行了测试。使用回归模型,可以正确预测低风险(仅建立40%)和高风险(建立90%)入侵的命运。使用分类树,可以正确分类67%。这些分析可用于指导未来淡水鱼国际转移的定量风险评估。总体上较高的定殖率(64%)和繁殖压力的强烈影响表明,计划引进的淡水鱼很少有较低的定殖风险。

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