QEIB: Importance of Individual Variation to the Demography, Dispersal, and Spread of Invasive and Endangered Species: An Integral Projection Model Approach
QEIB: Importance of Individual Variation to the Demography, Dispersal, and Spread of Invasive and Endangered Species: An Integral Projection Model Approach
批准号:
0614065
负责人:
Katriona Shea
金额:
$0.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-09-01 至 2009-08-31
中文摘要
本研究将建立六种物种的空间积分投影模型(IPM):两种入侵物种,两种常见物种和两种濒危物种。IPM是种群动态的离散时间分析表示。IPM允许个体变异的分析表示,因此代表了对现有方法的显著改进。本研究提出了一种新的扩展IPM到空间域,使用国家的最先进的方法来模拟入侵和濒危物种的空间传播。这种复杂性对于全面分析影响种群在物种生命周期多个组成部分的下降、增长或扩散的环境变化以及分析不同管理办法之间复杂的相互作用至关重要。 拟议的研究具有重要的控制和保护意义。该模型可用于解决每个物种的最佳管理策略,并分别针对的方法,将提高本地与空间上广泛的管理优先事项,在面对有限的资源。这些物种展示了广泛的生活史,开发的模型也将作为研究人员与广泛的其他物种的有用模板。
英文摘要
This study will develop spatial integral projection models (IPMs) for six species: two invasive species, two common species, and two endangered species. IPMs are discrete-time, analytical representations of the dynamics of populations. IPMs allow the analytic representation of individual variation, and so represent a significant improvement over existing methods. This study proposes a novel extension of IPMs into the spatial domain, using state-of-the-art approaches to model spatial spread of invasive and endangered species. Such sophistication will be vital for comprehensive analyses of environmental changes that affect population decline, growth or spread through multiple components of species' life cycles, and for analyses of complex interactions between different management options. The proposed research has important control and conservation implications. The models can be used to address the optimal management strategies for each species, and to separately target approaches that will enhance outcomes for local vs. spatially-extensive management priorities in the face of limited resources. These species exhibit a wide range of life histories, and the models developed will also serve as useful templates for researchers working with a wide range of other species.
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