Spatial extent and impact of aquatic resources on terrestrial communities, individuals and trophic dynamics in tropical and temperate forests

水生资源的空间范围及其对热带和温带森林陆地群落、个体和营养动态的影响

• 批准号: 2066581
• 金额: --
• 依托单位: Queen Mary University of London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2066581
• 关键词: Spatial; extent; impact; aquatic; resources

For my PhD I aim to expand our understanding of how aquatic-terrestrial linkages impact terrestrial community and trophic structures, determine how far away from an aquatic source these impacts remain significant, investigate the generality of any observed patterns between distinct biomes and across latitude, and model the results for application by policymakers. Using nitrogen and carbon stable isotope analysis with Bayesian analyses I will track the flux of aquatic resources into terrestrial food webs and evaluate changes in the dietary breadth (and other isotopic metrics; Layman and Post, 2008) of consumers at the community and species level along 150m transects away from streams. I will measure community structure responses as changes in alpha and beta diversity, abundance and biomass between transect points, streams and sites. Through having a standardised method of sampling carried out in multiple sites in Brazil and Europe, I will be able to compare and contrast patterns between different climatic zones (tropical, temperate), forest types (Amazon, Atlantic rainforest, conifer plantation and broadleaf forest), and latitudes (Scotland to Atlantic Rainforest). Finally, I aim to use this extensive dataset of approx 700 sampled communities, from across two continents, to develop a spatial model incorporating trophic dynamics and environmental parameters. This model will aim to estimate how wide riparian buffer zones need to be to encompass full cross-ecosystem dynamics, depending on geographic location, forest type and species compositions. The large dataset will be formatted, uploaded to a server and made available for future hypotheses to be explored.

对于我的博士学位，我的目标是扩大我们对水生-陆地联系如何影响陆地群落和营养结构的理解，确定这些影响离水生来源有多远仍然很重要，调查不同生物群落之间和跨纬度之间任何观察到的模式的一般性，并为决策者的应用建立模型。使用氮和碳稳定同位素分析与贝叶斯分析，我将跟踪流入陆地食物网的水生资源的流量和评估的饮食宽度（和其他同位素指标;莱曼和邮政，2008年）的消费者在社区和物种水平的变化沿着150米的断面远离流。我将测量群落结构的反应，如样带点，溪流和地点之间的α和β多样性，丰度和生物量的变化。通过在巴西和欧洲的多个地点进行标准化的采样方法，我将能够比较和对比不同气候带（热带，温带），森林类型（亚马逊，大西洋雨林，针叶树种植园和阔叶林）和纬度（苏格兰到大西洋雨林）之间的模式。最后，我的目标是使用这个广泛的数据集，约700个样本社区，来自两大洲，开发一个空间模型，将营养动态和环境参数。这个模型的目的是根据地理位置、森林类型和物种组成，估计河岸缓冲区需要有多宽，才能涵盖整个生态系统的动态。大型数据集将被格式化，上传到服务器，并可用于未来的假设进行探索。