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Searching for keystone plant resources in fruit-frugivore interaction networks across the Neotropics

机译:在探讨新生学的果子节互动网络中寻找梯形植物资源

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Identifying keystone plant resources (KPR) is a contentious issue in ecology and conservation. Despite recent advances provided by mutualistic networks, we still lack studies addressing large-scale identification of keystone plants. We developed a novel quantitative framework for the large-scale identification of KPR that combines centrality and effects of simulated removals on networks properties. We built a database with 38 fruit-frugivore networks comprising 6,180 pairwise interactions from Neotropical forest and non-forest ecosystems ranging from sea level to 2,500 m a.s.l.. Effects of random removal simulations and removal of keystone taxa candidates on nestedness, modularity and niche overlap were assessed. Furthermore, we tested whether changes in network descriptors responded to both latitudinal and elevational gradients. From a total of 373 genera on networks, only species in six genera were ranked as keystone candidates. The simulated removal of species in Miconia (Melastomataceae), Cecropia (Urticaceae) and Byrsonima (Malpighiaceae) led to significant changes in nestedness, modularity and niche overlap, suggesting that these plants play important roles in maintaining the structure of Neotropical fruit-frugivore interaction networks, regardless of latitude or elevation. Our results confirm the keystone role of previously recognized taxa, recognize overlooked ones, providing support for their role at a biogeographical scale, and partially challenge taxa traditionally identified as keystone resources for frugivores. Our study has implications for conservation and restoration of Neotropical ecosystems and provides a new framework for large-scale identification of keystones in other types of ecological networks.
机译:识别Keystone植物资源(KPR)是生态和保护中的一个有争议的问题。尽管近期通过互动网络提供了进展,但我们仍然缺乏解决梯形厂的大规模识别的研究。我们为KPR的大规模识别开发了一种新的量化框架,其结合了模拟去除对网络属性的中心性和影响。我们建立了一个具有38个水果野果网络的数据库,包括从海拔的新林和非林生态系统的6,180个成对相互作用,从海平面到2,500米ASL。随机去除模拟和剥离嵌套,模块化和利基重叠的keystone分类候选的影响评估。此外,我们测试了网络描述符的变化是否响应了纬度和高度梯度。从373年的网络上,只有六属的种类只被排名为梯形候选人。模拟摩洛尼亚(Melastomataceae),Cecropia(荨麻疹)和Byrsonima(MalpighiaCeae)的模拟去除导致嵌套,模块化和利基重叠的显着变化,表明这些植物在维持新级果实 - 节野互动网络的结构方面发挥着重要作用,无论纬度还是高度。我们的成果确认了先前公认的分类群的梯形职责,认可被忽视的分类,为其在生物地理规模中的角色提供支持,部分挑战传统上被确定为游节的基调资源的分类群。我们的研究具有保护和恢复NeoTopical生态系统的保护和恢复,并为其他类型的生态网络提供了大规模识别的新框架。

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