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The Movement Ecology And Dynamics Of Plant Communities In Fragmented Landscapes

机译:零散景观中植物群落的运动生态与动态

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A conceptual model of movement ecology has recently been advanced to explain all movement by considering the interaction of four elements: internal state, motion capacity, navigation capacities, and external factors. We modified this framework to generate predictions for species richness dynamics of fragmented plant communities and tested them in experimental landscapes across a 7-year time series. We found that two external factors, dispersal vectors and habitat features, affected species colonization and recolonization in habitat fragments and their effects varied and depended on motion capacity. Bird-dispersed species richness showed connectivity effects that reached an asymptote over time, but no edge effects, whereas wind-dispersed species richness showed steadily accumulating edge and connectivity effects, with no indication of an asymptote. Unassisted species also showed increasing differences caused by connectivity over time, whereas edges had no effect. Our limited use of proxies for movement ecology (e.g., dispersal mode as a proxy for motion capacity) resulted in moderate predictive power for communities and, in some cases, highlighted the importance of a more complete understanding of movement ecology for predicting how landscape conservation actions affect plant community dynamics.
机译:最近提出了一种运动生态学的概念模型,它通过考虑四个要素的相互作用来解释所有运动:内部状态,运动能力,导航能力和外部因素。我们修改了此框架,以生成零散植物群落物种丰富度动态的预测,并在7年的时间序列中的实验景观中对其进行了测试。我们发现两个外部因素,即传播媒介和生境特征,影响了物种在生境碎片中的定殖和再定殖,其影响各不相同,并取决于运动能力。鸟类分布的物种丰富度显示出随着时间的推移达到渐近线的连通性效应,但没有边缘效应,而风散布的物种丰富度显示出稳定的累积边缘和连通性效应,没有渐近线的迹象。无助物种也显示出随着时间的流逝,由连通性引起的差异不断增加,而边缘却没有影响。我们对运动生态学的有限使用(例如,分散模式作为运动能力的代理)为社区提供了适度的预测能力,在某些情况下,强调了对运动生态学有更全面的了解对于预测景观保护行动的重要性影响植物群落动态。

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