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The role of ecological interactions: how intrinsic and extrinsic factors shape the spatio-temporal dynamics of populations

机译:生态相互作用的作用:内在和外在因素如何影响人口的时空动态

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摘要

How individuals respond to environmental demands and pressures from conspecifics and from other species determines whether they will survive and reproduce, and hence whether their populations will persist. However, not all environments are benign or predictable, and not all populations of the same species respond to environmental pressures in the same way. The overall objective of this thesis was to incorporate both biotic and abiotic interactions into one conceptual framework to better understand and predict how species’ populations change across space and time. To help progress this objective, I built a trophic interaction model to capture the complexity of biotic and abiotic interactions in a model arid system, using long-term (over 20 years) ecological data on small vertebrates, climate and vegetation replicated across a large spatial area (8000 km2). The model was built upon smaller components that investigated the spatial and temporal dynamics of species’ populations and their biotic and abiotic drivers. A key achievement of this thesis is that it clarifies and confirms the importance of both biotic and abiotic interactions in arid resource-pulse environments. The trophic interaction model advances our knowledge on how interactions are context-specific and can change over space and time. It incorporates both bottom-up and top-down processes, and shows how the relative strength of these processes can change. I show also that simultaneous analysis of abiotic factors is important in predicting changes in species’ populations, and that biotic interactions (e.g. predation) can limit increases in consumer populations. In order to make accurate predictions about how species and ecological processes will respond to environmental change in arid systems, both biotic and abiotic factors need to be incorporated explicitly into models.
机译:个人如何应对环境需求以及物种和其他物种带来的压力决定了他们是否将生存和繁殖,并因此决定其种群是否将继续存在。但是,并非所有环境都是良性或可预测的,并且并非同一物种的所有种群都以相同的方式应对环境压力。本文的总体目标是将生物和非生物的相互作用都整合到一个概念框架中,以更好地理解和预测物种的种群如何随时间和空间变化。为了帮助实现这一目标,我建立了一个营养相互作用模型,以利用模型(长期存在(超过20年))关于小脊椎动物的长期生态数据,气候和植被在大型空间上的复制来捕获模型干旱系统中生物和非生物相互作用的复杂性。面积(8000平方公里)。该模型建立在较小的组件之上,这些组件研究了物种种群及其生物和非生物驱动因素的时空动态。本论文的一个关键成就是,它阐明并证实了在资源脉冲环境中生物和非生物相互作用的重要性。营养交互模型提高了我们的知识,即交互如何特定于上下文并且可以随时间和空间变化。它结合了自下而上和自上而下的过程,并说明了这些过程的相对强度如何变化。我还表明,同时分析非生物因素对于预测物种种群的变化非常重要,生物相互作用(例如掠食)可以限制消费者种群的增长。为了准确预测物种和生态过程对干旱系统中环境变化的反应,需要将生物和非生物因素都明确地纳入模型中。

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    Greenville Aaron C.;

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  • 年度 2015
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