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Collaborative Research: Modeling successional vegetation dynamics in wet tropical forests at multiple scales: integrating neighborhood effects, functional traits, and phylogeny

Collaborative Research: Modeling successional vegetation dynamics in wet tropical forests at multiple scales: integrating neighborhood effects, functional traits, and phylogeny
合作研究:在多个尺度上模拟潮湿热带森林的演替植被动态:整合邻里效应、功能特征和系统发育
批准号:
1051202
负责人:
Robin Chazdon
金额:
$18.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-04-15 至 2014-03-31

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中文摘要
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英文摘要
Several mechanisms have been proposed to explain the high number of species present in tropical forests. The outcome of these processes, which could include random or non-random elements, may be reflected in the evolutionary history and distribution of functional traits (plant size, leaf size, flowering pattern, etc.) in a community. Because they reflect "community assembly in action", successional tropical forests (developing after a disturbance) provide an ideal natural laboratory for testing the power of an integrated multi-faceted approach to community assembly. Using data collected in secondary and mature forests in Costa Rica and Puerto Rico, the proposed research will develop a novel approach to understanding community assembly that will integrate detailed forest inventory data. This approach will be used to assess the relative importance of habitat differences, niche differences, and lack of seedlings in driving tropical forest community assembly at different spatial scales and across life history stages. Coordinated data collection will allow for comparisons of functional traits across successional stages within a context of the plants' evolutionary history, which will be reconstructed using DNA bar-coding technology.The major objectives of this research are to (1) compare patterns of species-level phylogenetic (evolutionary) relationships and functional similarity of plants between successional and mature forest communities; (2) link functional traits and phylogenetic structure with population and community dynamics through sophisticated models of tree mortality and growth, and (3) assess the role of recruitment limitation and the relative importance of functional and phylogenetic relatedness in predicting species- and stage-specific population dynamics during succession.Secondary forests now cover more area than remaining old-growth forests in many tropical countries and are increasingly important components of tropical landscapes for biodiversity conservation and provision of ecosystem services. A mechanistic understanding of how these forest communities are assembled is urgently needed. The evolutionary relationships among plants that will be discovered as part of this project will contribute to a deepening understanding of the angiosperm evolutionary history. Two doctoral graduate students, one postdoctoral researcher, and undergraduate students from the University of Puerto Rico, the largest Hispanic institution in the US federal system, will be trained.
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CNH-RCN: Tropical Reforestation Network: Building a Socioecological Understanding of Tropical Reforestation
  • 批准号:
    1313788
  • 项目类别:
    Standard Grant
  • 资助金额:
    $44.0万
  • 财政年份:
    2013
  • 负责人:
    Robin Chazdon
  • 依托单位:
Collaborative Research/LTREB Renewal: Successional Pathways and Rates of Change in Tropical Forests of Brazil, Costa Rica and Mexico
  • 批准号:
    1147429
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $34.41万
  • 财政年份:
    2012
  • 负责人:
    Robin Chazdon
  • 依托单位:
Dissertation Research: Functional trait diversity and community assembly of trees and seedlings during tropical forest succession
  • 批准号:
    1110722
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.49万
  • 财政年份:
    2011
  • 负责人:
    Robin Chazdon
  • 依托单位:
US-Mexico Workshop on Neotropical Secondary Forest Regeneration: Morelia, Mexico, November 2009
  • 批准号:
    0929598
  • 项目类别:
    Standard Grant
  • 资助金额:
    $3.9万
  • 财政年份:
    2009
  • 负责人:
    Robin Chazdon
  • 依托单位:
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  • 批准号:
    24ZR1403900
  • 项目类别:
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  • 资助金额:
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  • 批准年份:
    2024
  • 负责人:
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  • 依托单位:
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