Collaborative Research: LTREB: A natural laboratory for studying biodiversity, ecosystem function, and responses to environmental change from Amazonian lowlands to Andean treeline

合作研究：LTREB：研究生物多样性、生态系统功能以及对从亚马逊低地到安第斯林线的环境变化的响应的自然实验室

• 批准号: 1754647
• 负责人: Miles Silman
• 金额: $ 38.48万
• 依托单位: Wake Forest University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-07-15 至 2024-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1754647&HistoricalAwards=false
• 关键词: Collaborative; Research; LTREB; natural; laboratory

Where a species lives - its geographic range - is affected by climate and the interactions it has with other living organisms. There is a complex set of factors that influence species ranges, and how these factors change with respect to changing environments depends on the life history stage of long-lived organisms, such as trees. Range shifts in plants that occur through differential mortality versus recruitment are complex processes, requiring long term data on the demography of both adults and the early stages of development for proper predictive modelling. This research replaces descriptive studies with a mechanistic understanding of species and ecosystem responses to environmental changes along elevation gradients by combining long-term field data with state-of-the-art demographic and environmental modeling. The results will advance our understanding of species range shifts, which is important to land managers and species conservation efforts. The study will also train US undergraduate and graduate students in STEM disciplines, and advance K-12 education.This research advances mechanistic knowledge of species- and ecosystem-level responses to environmental changes based on structural and chemical functional traits. Data gathered from field plots are coupled with advanced demographic modelling and airborne and satellite remote sensing to understand how the environment controls tropical forest species distributions, community composition, and ecosystem ecology. The research approach couples a large, traditional data set of forest plot inventories, which includes high precision and high temporal resolution growth and mortality data, with meteorology, structural and chemical traits, and remote sensing. A series of hypotheses centered on linking vital rates to species responses to ongoing and episodic environmental variability, as well as scaling individual species responses to ecosystem performance and function will be addressed with this research. The research centers on questions of tree distributional ecology, demography, and forest ecosystem ecology requiring long time-series to understand effects of ongoing environmental change and to detect responses to transient environmental change. Mechanistic answers to these questions in systems of long-lived organisms, such as trees, require understanding variation in vital rates conditional on environmental variables, which in turn require long time periods for accurate estimation.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.

一个物种生活的地方-其地理范围-受到气候及其与其他生物体相互作用的影响。 有一系列复杂的因素影响着物种的分布范围，这些因素如何随着环境的变化而变化取决于长寿生物（如树木）的生活史阶段。通过差异死亡率与招募发生在植物中的范围转移是复杂的过程，需要成年人和早期发展阶段的人口统计学的长期数据进行适当的预测建模。这项研究取代了描述性的研究与机械的理解物种和生态系统对环境变化的反应沿着海拔梯度相结合的长期现场数据与国家的最先进的人口和环境建模。这些结果将促进我们对物种范围变化的理解，这对土地管理者和物种保护工作很重要。该研究还将培训美国本科生和研究生在STEM学科，并推进K-12教育。这项研究推进了基于结构和化学功能特征的物种和生态系统水平对环境变化的反应机制知识。 从野外地块收集的数据与先进的人口建模和航空和卫星遥感相结合，以了解环境如何控制热带森林物种分布，群落组成和生态系统生态。该研究方法将一个大型的传统森林样地清查数据集（包括高精度和高时间分辨率的生长和死亡数据）与气象学、结构和化学特征以及遥感相结合。一系列的假设集中在连接生命率的物种对持续和偶发的环境变化的反应，以及缩放个别物种对生态系统的性能和功能的反应，将与这项研究。 该研究中心的树木分布生态学，人口学和森林生态系统生态学的问题，需要长时间序列，以了解正在进行的环境变化的影响，并检测瞬态环境变化的反应。在长寿命的生物体系统中，如树木，这些问题的机械答案，需要了解的变化，在生命率的条件下的环境变量，这反过来又需要很长的时间来准确估计。这个奖项反映了NSF的法定使命，并已被认为是值得通过评估使用基金会的智力价值和更广泛的影响审查标准的支持。

项目成果

Microbes follow Humboldt: temperature drives plant and soil microbial diversity patterns from the Amazon to the Andes.

• DOI: 10.1002/ecy.2482
• 发表时间: 2018-11
• 期刊: Ecology
• 影响因子: 4.8
• 作者: Nottingham AT;Fierer N;Turner BL;Whitaker J;Ostle NJ;McNamara NP;Bardgett RD;Leff JW;Salinas N;Silman MR;Kruuk LEB;Meir P
• 通讯作者: Meir P

Reduced tree density and basal area in Andean forests are associated with bamboo dominance

安第斯森林中树木密度和断面积的减少与竹子的优势有关

• DOI: 10.1016/j.foreco.2020.118648
• 发表时间: 2021
• 期刊: Forest Ecology and Management
• 影响因子: 3.7
• 作者: Fadrique, Belen;Santos-Andrade, Paul;Farfan-Rios, William;Salinas, Norma;Silman, Miles;Feeley, Kenneth J.
• 通讯作者: Feeley, Kenneth J.

Modern pollen rain predicts shifts in plant trait composition but not plant diversity along the Andes–Amazon elevational gradient

• DOI: 10.1111/jvs.12925
• 发表时间: 2020-07
• 期刊: Journal of Vegetation Science
• 影响因子: 2.8
• 作者: Masha T. van der Sande;M. Bush;D. Urrego;M. Silman;W. Farfán-Ríos;K. García Cabrera;A. Shenkin;Y. Malhi;C. McMichael;W. Gosling

Improving landscape‐scale productivity estimates by integrating trait‐based models and remotely‐sensed foliar‐trait and canopy‐structural data

通过整合基于性状的模型和遥感叶面性状和冠层结构数据来改进景观规模生产力估算

• DOI: 10.1111/ecog.06078
• 发表时间: 2022
• 期刊: Ecography
• 影响因子: 5.9
• 作者: Wieczynski, Daniel J.;Díaz, Sandra;Durán, Sandra M.;Fyllas, Nikolaos M.;Salinas, Norma;Martin, Roberta E.;Shenkin, Alexander;Silman, Miles R.;Asner, Gregory P.;Bentley, Lisa Patrick
• 通讯作者: Bentley, Lisa Patrick

Functional susceptibility of tropical forests to climate change

• DOI: 10.1038/s41559-022-01747-6
• 发表时间: 2022-05
• 期刊: Nature Ecology & Evolution
• 影响因子: 16.8
• 作者: J. Aguirre‐Gutiérrez;E. Berenguer;Imma Oliveras Menor;D. Bauman;J. Corral-Rivas;M. G. Nava-Miranda