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Habitat-mediated, density-dependent dispersal strategies affecting spatial dynamics of populations in an anthropogenically-modified landscape

机译:生境介导的依赖密度的扩散策略,影响人为改变的景观中种群的空间动态

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摘要

A major challenge in managing natural populations in ecosystems is understanding and predicting the complexity and consequences of population dispersal. Although many studies have documented the importance of conspecific density and habitat quality in the dispersal process, we lack an understanding of how to integrate these factors in determining the spatial dynamics of populations or how habitat quality can mediate density-dependent dispersal. In this study, we propose a Habitat-mediated, Density-dependent, Spatial Population Dynamics model (HD-SPDM), in which we combined a Habitat Suitability Index (HSI) with a migration function, to explore the emergent effects of habitat mediated, density-dependent dispersal strategies on the spatial dynamics of a population. Our results show that habitat condition (based onHSIscore) can influence ranges in conspecific density (which in turn can alter spatial patterns of populations distributed in homogeneous patches). We tested this model using the spatial distribution of Chinese mitten crab in the Yangtze River Estuary, which has been subjected to excessive sea reclamations over time, this allowed us to obtain insight into spatial distribution of population by determining how habitat-mediated, density-dependent dispersal at a small scale interacts with habitat heterogeneity and fragmentation at a landscape scale. We found that each progressive sea reclamation reduced suitable habitat area and habitat connectivity in the estuary. However, the model predicts that intermediate intensities of habitat compression and fragmentation could improve habitat utilization somewhat by facilitating population dispersal. Our model could be used to improve resource management of populations being increasingly impacted by anthropogenic alterations.
机译:管理生态系统中自然种群的主要挑战是了解和预测种群扩散的复杂性和后果。尽管许多研究已经证明,在扩散过程中特定密度和栖息地质量的重要性,但我们对如何整合这些因素来确定种群的空间动态或栖息地质量如何介导密度依赖性的分散尚缺乏了解。在这项研究中,我们提出了一种栖息地介导的,依赖密度的空间种群动态模型(HD-SPDM),其中我们将栖息地适应性指数(HSI)与迁移功能结合在一起,以探索栖息地介导的生境效应,人口空间动态的依赖密度的分散策略。我们的结果表明,栖息地条件(基于HSIscore)可以影响同种密度的范围(进而可以改变分布在同质斑块中的种群的空间格局)。我们使用长江口中中华绒螯蟹的空间分布对模型进行了测试,该模型随着时间的推移经历了过多的海域开垦,这使我们能够通过确定生境介导的,密度依赖性如何来了解种群的空间分布。小范围的扩散与栖息地的异质性和景观尺度的破碎相互作用。我们发现,每次进行渐进式海域填海都会减少河口中合适的栖息地面积和栖息地连通性。但是,该模型预测,栖息地压缩和破碎的中间强度可以通过促进种群扩散而在某种程度上提高栖息地的利用率。我们的模型可用于改善受人为改变影响越来越大的人群的资源管理。

著录项

  • 来源
    《The Science of the Total Environment》 |2018年第1期|1510-1517|共8页
  • 作者单位

    State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University;

    State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University;

    State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University;

    State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University;

    State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Landscape heterogeneity; Habitat fragmentation; Yangtze River estuary; Land reclamation;

    机译:景观异质性;生境破碎化;长江河口;土地开垦;

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