Understanding determinants of tropical forests stocks and fluxes from plot to landscape levels.

了解热带森林储量和从地块到景观水平的通量的决定因素。

• 批准号: RGPIN-2015-06123
• 负责人: Potvin, Catherine
• 金额: $ 2.91万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=662497
• 关键词: Understanding; determinants; tropical; forests; stocks

Tropical forests occupy 12% of the terrestrial surface, harbor more than half of terrestrial diversity and hold over 40% of terrestrial carbon. These forests are highly threatened globally with deforestation in the tropics accounting for ~10% of total greenhouse gas emission. My research program aims at deepening the understanding of the dynamics of tropical forests carbon stocks. I propose scaling-up and improving the predictive power of the relationship between tree diversity and C storage and cycling in tropical forests. The specific questions addressed in in this proposal are: (1) Can high C storing species or groups of species be predicted from functional traits? (2) Does tree diversity enhance the stability of C stocks and fluxes? (3) How does the relationship between tree diversity and C stocks change with scale? Specific objective 1 will be addressed by complementing Sardinilla's existing functional traits data-base will be complemented with traits related to phenology, architecture as well as phylogeny and comparing the interactions between the functional characteristics of target species and the plot/neighborhood that maximize C storage in Panama, Brazil and China. Specific objective 2 will take advantage of the long-term data set of Sardinilla to break-down for the first time the role of interactions between individuals in their contributions to stabilization and diversity effects. Specific objective 3 will focus on the role of big trees at the landscape level. Building up on earlier work, I propose that the relationship between the variance in C stocks, at the plot-level and area is U-shaped with high at small spatial scale and low at the regional scale. The impact of my proposed Discovery grant proposal will be felt at three main levels. By identifying functional traits identifying species and species combinations maximizing C storage across sites, I will propose an approach improving the predictability of BEF experiment. By testing the importance of species asynchrony and demographic stochasticity at the level of individual trees, I will solidify the understanding of the proposed unified biodiversity and stability analytical framework. Finally, by documenting changes in the relationship between species richness and C storage from plot to landscape level, I will contribute to the scale transition theory. Together these results will greatly increase the predictive power and the ability to scale-up BEF results to the landscape level. These analyses of ecosystem functioning, relevant to as important an ecosystem service as climate regulation, will make a key contribution to the new paradigm of biodiversity science.

热带森林占据了陆地表面的12％，拥有超过一半的陆地多样性，并拥有40％以上的陆地碳。 这些森林在全球范围内受到高度威胁，在热带地区砍伐森林，占温室气体排放量的约10％。我的研究计划旨在加深对热带森林碳库存动态的理解。我提出了扩大并提高热带森林中树木多样性与C储存之间关系的预测能力。该提案中解决的具体问题是：（1）高c存储物种或物种群可以通过功能性状预测吗？ （2）树木多样性是否可以增强C种群和通量的稳定性？ （3）树木多样性与C股之间的关系如何随规模而变化？ 通过补充Sardinilla现有的功能性状数据库将解决具体目标1，将与与物候学，结构和系统发育有关的性状进行补充，并比较目标物种的功能特征与最大化巴拿马，巴拉马，巴西和中国最大化的c储存的情节/邻域之间的相互作用。具体的目标2将利用撒丁岛的长期数据集，首次分解个体之间的相互作用在稳定和多样性效应的贡献中的作用。特定的目标3将重点关注大树在景观水平上的作用。我建议在早期的工作上，我建议在c股票中的差异，情节级别和区域的差异之间的关系是U形的，在小空间尺度上高，在区域尺度上较低。我提出的发现赠款提案的影响将在三个主要层面上感受到。通过识别识别物种和物种组合的功能性状，我将提出一种方法来提高BEF实验的可预测性。通过测试各个树木水平上物种异步和人口随机性的重要性，我将巩固对拟议的统一生物多样性和稳定性分析框架的理解。最后，通过记录物种丰富度与C存储之间从情节到景观水平之间的关系的变化，我将为规模过渡理论做出贡献。 这些结果将大大提高预测能力和扩大BEF结果的能力，从而提高景观水平。这些对生态系统功能的分析（与气候调节一样重要的生态系统服务相关）将为生物多样性科学的新范式做出关键贡献。