Collaborative Research: Consistencies and contingencies of functional responses to environmental changes in tropical forests

合作研究：热带森林环境变化功能响应的一致性和偶然性

• 批准号: 2016347
• 负责人: Elise Zipkin
• 金额: $ 25.69万
• 依托单位: Michigan State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-11-01 至 2025-10-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2016347&HistoricalAwards=false
• 关键词: Collaborative; Research; Consistencies; contingencies; functional

Tropical forests harbor hundreds of tree species and play a critical role in carbon sequestration and storage. Yet, these systems are also highly sensitive to changes in environmental conditions. Characterizing the diversity of tree species responses to environmental variables will help understand how forests are likely to respond to future conditions. Tree responses are mainly determined by their physiology, which in turn depends on a combination of traits that work together to achieve particular functions. This project examines the integrated effect of multiple traits in trees to understand whole-plant level functionality under a variety of environmental conditions. With this knowledge, it is possible to build realistic models to assess potential changes in forest composition and structure in response to environmental changes. Through the collection of detailed field data on plant functioning, combined with advanced modeling approaches, this study provides a mechanistic understanding of species responses to changing environmental conditions. The project also supports interdisciplinary research training for graduate students and post-docs in cutting edge modeling and field-based techniques, as well as promoting engagement with the public through the publication of field guides. This project uses an integrated and quantitative characterization of tree functionality over hundreds of tree species in neotropical forests. Functional trait data on leaves, stems, and roots are coupled with tree growth information for species distributed across broad environmental gradients to address a series of hypotheses focused on linking tree performance to species responses to current and future environmental variability. The results from this project will: (1) contribute to a generalized mechanistic understanding of how traits modulate species responses to environment; (2) provide information for a highly endangered, but largely unknown and valuable ecosystem in the tropics; and (3) provide predictions of species distributions under future climatic scenarios.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

热带森林拥有数百种树种，在碳固存和储存方面发挥着关键作用。然而，这些系统对环境条件的变化也高度敏感。确定树种对环境变量反应的多样性将有助于了解森林可能如何对未来条件作出反应。树木的反应主要取决于它们的生理机能，而生理机能又取决于共同发挥特定功能的性状组合。该项目研究了树木中多种性状的综合效应，以了解在各种环境条件下的整株水平功能。有了这方面的知识，就有可能建立切合实际的模型，以评估森林组成和结构因环境变化而可能发生的变化。通过收集植物功能的详细现场数据，结合先进的建模方法，这项研究提供了一个物种对不断变化的环境条件的反应机制的理解。该项目还支持为研究生和博士后提供前沿建模和实地技术方面的跨学科研究培训，并通过出版实地指南促进公众参与。该项目对新热带森林中的数百个树种的树木功能进行了综合和定量表征。叶，茎，根的功能性状数据与树木生长信息分布在广泛的环境梯度，以解决一系列的假设，重点是链接树的性能，物种对当前和未来的环境变化的反应。该项目的结果将：（1）有助于对性状如何调节物种对环境的反应的普遍机制的理解;（2）为热带高度濒危但在很大程度上未知的有价值的生态系统提供信息;以及（3）提供未来气候情景下物种分布的预测。该奖项反映了NSF的法定使命，并通过评估被认为值得支持使用基金会的知识价值和更广泛的影响审查标准。