Collaborative Proposal: MSB-ENSA: Forest function from genes to canopies: disentangling the fine scale spatio-temporal variation in gene expression and tree growth

合作提案：MSB-ENSA：从基因到冠层的森林功能：解开基因表达和树木生长的精细尺度时空变化

基本信息

批准号：
2141836
负责人：
Nathan Swenson
金额：
$ 67.79万
依托单位：
University of Notre Dame
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2021
资助国家：
美国
起止时间：
2021-06-01 至 2023-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2141836&HistoricalAwards=false
关键词：
Collaborative Proposal MSB ENSA Forest

项目摘要

Forests play a key role in regulating climate due to their ability absorb and store CO2 from the atmosphere. While often treated as a whole, the properties of forests are the aggregated outcome of processes happening on the level of thousands of individual trees. Individual trees within and between species in a forest vary in their physiological and growth response to the environment. Quantifying this variation is critical for understanding how forests regulate the carbon cycle and therefore for improving models that project how forests will respond to future fluctuations in climate. The present research project uses cutting edge genetic technology coupled with detailed measurements of individual tree growth and physiology to address these outstanding grand challenges in forest biology. Forested ecosystems are key players in the global carbon cycle. A grand challenge for those investigating current and projecting future forest functioning is linking processes occurring at the level of a leaf to those occurring at the level of a forest. Critical to these efforts is an understanding of where variation exists and the degree to which knowing that information improves projections. Individuals interact with their environments via their phenotypes and the resulting performance ultimately scales up to provide emergent ecosystem-level properties. Thus, acute and chronic changes to the environment are inherently an individual-level phenomenon. Rich assays of leaf level functioning and linkages of such information to individual tree and whole forest carbon flux are rare in tree ecology due to logistical constraints and a focus on a handful of leaf properties. The present project assays leaf level functioning throughout several growing seasons through the quantification of leaf physiological traits and gene expression. The sampling is performed at two NEON sites where significant infrastructure exists allowing us to link these leaf level properties to forest scale measures of carbon flux and the environment.

森林在调节气候方面起着关键作用，因为它们的能力吸收并从大气中储存了二氧化碳。尽管经常被视为整体，但森林的特性是成千上万个单个树木水平上发生的过程的综合结果。森林中物种内部和之间的单个树木在其生理和生长对环境的反应中各不相同。量化这种变化对于理解森林如何调节碳循环至关重要，因此对于改善了预测森林将如何应对气候中未来波动的模型。本研究项目使用尖端遗传技术，再加上对个体树木生长和生理学的详细测量，以应对森林生物学中这些杰出的巨大挑战。森林生态系统是全球碳循环的关键参与者。对于那些调查当前和预测未来森林功能的人来说，这是一个巨大的挑战，它将发生在叶子水平上的过程与在森林水平上发生的过程联系起来。这些努力至关重要的是了解变异的存在以及知道信息可以改善预测的程度。个人通过表型与环境互动，最终的性能最终会扩大以提供新兴的生态系统级特性。因此，对环境的急性和慢性变化本质上是个人级别现象。叶片水平功能的丰富测定和此类信息与单个树和整个森林碳通量的联系在树生态学中很少见，由于后勤约束以及关注少数叶子特性。本项目测定通过定量叶片生理特征和基因表达，整个生长季节的叶片水平在多个生长季节发挥作用。采样在两个霓虹灯地点进行，在这里存在重要的基础设施，使我们能够将这些叶片水平的特性与碳通量和环境的森林尺度衡量联系起来。

项目成果

期刊论文数量（4）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

On the modelling of tropical tree growth: the importance of intra-specific trait variation, non-linear functions and phenotypic integration

热带树木生长建模：种内性状变异、非线性函数和表型整合的重要性

DOI：
10.1093/aob/mcaa085
发表时间：
2020
期刊：
Annals of Botany
影响因子：
4.2
作者：
Jie Yang;Xiaoyang Song;Min Cao;Xiaobao Deng;Wenfu Zhang;Xiaofei Yang;Nathan G Swenson
通讯作者：
Nathan G Swenson

Towards linking species traits to demography and assembly in diverse tree communities: Revisiting the importance of size and allocation