Hierarchical Modelling of Complex Ecological Data

复杂生态数据的层次建模

• 批准号: RGPIN-2016-04432
• 负责人: Bonner, Simon
• 金额: $ 1.6万
• 依托单位: University of Western Ontario
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=635855
• 关键词: Hierarchical; Modelling; Complex; Ecological; Data

Ecological systems are complicated by the interplay of processes at distinct levels. Biological and environmental phenomena may affect entire communities, populations within a community, or individuals within a population, and these effects may also vary over time. Moreover, the difficulties in tracking individuals in the wild means that data from these systems are often collected by repeatedly observing marked individuals. In traditional mark-recapture experiments, animals individuals from the population are physically captured and marked with, for example, bands on a birds legs or tags in a fishes fin. More recently, scientists are relying on natural methods to identify individuals with pigmentation patterns that can be identified from photographs or genotype information available from DNA samples in skin, hair, or scat.

生态系统因不同层次的过程相互作用而变得复杂。生物和环境现象可能影响整个社区、社区内的群体或群体中的个体，这些影响也可能随时间而变化。此外，在野外追踪个体的困难意味着这些系统的数据通常是通过反复观察有标记的个体来收集的。在传统的标记-再捕获实验中，从种群中捕获动物个体并用例如鸟腿上的条带或鱼鳍上的标签标记。最近，科学家们依靠自然方法来识别具有色素沉着模式的个体，这些模式可以从皮肤，头发或粪便中的DNA样本的照片或基因型信息中识别。