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Species traits and network structure predict the success and impacts of pollinator invasions

机译:物种特征和网络结构预测传粉媒介入侵的成功及其影响

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摘要

Species invasions constitute a major and poorly understood threat to plant–pollinator systems. General theory predicting which factors drive species invasion success and subsequent effects on native ecosystems is particularly lacking. We address this problem using a consumer–resource model of adaptive behavior and population dynamics to evaluate the invasion success of alien pollinators into plant–pollinator networks and their impact on native species. We introduce pollinator species with different foraging traits into network models with different levels of species richness, connectance, and nestedness. Among 31 factors tested, including network and alien properties, we find that aliens with high foraging efficiency are the most successful invaders. Networks exhibiting high alien–native diet overlap, fraction of alien-visited plant species, most-generalist plant connectivity, and number of specialist pollinator species are the most impacted by invaders. Our results mimic several disparate observations conducted in the field and potentially elucidate the mechanisms responsible for their variability.
机译:物种入侵构成了对植物授粉系统的主要且鲜为人知的威胁。尤其缺乏通用的理论来预测哪些因素会导致物种入侵成功以及对本地生态系统的后续影响。我们使用适应性行为和种群动态的消费者-资源模型来解决此问题,以评估外来授粉媒介入侵植物-授粉媒介网络的成功性及其对本地物种的影响。我们将具有不同觅食性状的传粉媒介物种引入具有不同水平的物种丰富性,连通性和嵌套性的网络模型。在测试的31个因素中,包括网络和外星人的财产,我们发现觅食效率高的外星人是最成功的入侵者。入侵者受到的影响最大的网络是外来人与当地人的饮食重叠,外来人来访的植物物种所占比例,最一般的植物之间的联系以及专业的传粉媒介物种的数量。我们的结果模仿了在现场进行的几项不同的观察,并可能阐明了导致其变异的机制。

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