Multiscale and muti-system perspectives of freshwater zooplankton structure and functionality

淡水生态系统是加拿大地貌的主要特征。然而，它们现在正面临着人类土地使用、工业和住宅活动以及气候变化的严重干扰。由于浮游生物是水生食物网的基础，它们值得纳入生态研究，以更好地维持生态系统功能和服务。淡水浮游生物多样性和功能特性的分布格局的环境控制，我们的知识仍然有限。浮游动物是一个理想的模式系统，研究环境特征如何影响分布格局的物种和性状，使用一个综合的框架，在多个尺度和系统。我的研究目标是提供一个多尺度的角度来看淡水浮游动物的结构和功能在不同的生态系统中的空间格局。我们的目标是建立预测模型的浮游动物物种性状和环境特征之间的功能联系，利用景观指标和多尺度数据的浮游动物的分布格局。

Freshwater ecosytems are a dominant feature of the Canadian landscape. However, they are now facing important disturbances by anthropogenic land use, industrial and residential activities, and climate change. As plankton form the foundation of aquatic food webs, they are worth including in ecological research to better maintain ecosystem function and services. Our knowledge of the environmental control of distribution patterns in freshwater plankton diversity and functional traits is still limited. Zooplankton is an ideal model system to investigate how environmental features influence distribution patterns in species and traits using an integrative framework across multiple scales and systems. The goals of my proposed research is to provide a multiscale perspective of spatial patterns in freshwater zooplankton structure and function in different ecosystems. We aim to build predictive models of functional linkages between zooplankton species-traits and environment features using landscape metrics and multiscale data on distribution patterns of zooplankton.