| 项目编号: | 1501175
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| 项目名称: | Dissertation Research: Disentangling drivers of community structure and composition of a tropical forest |
| 作者: | David Wilcove
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| 承担单位: | Princeton University
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| 批准年: | 2014
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| 开始日期: | 2015-06-01
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| 结束日期: | 2017-05-31
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| 资助金额: | USD16277
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| 资助来源: | US-NSF
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| 项目类别: | Standard Grant
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| 国家: | US
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| 语种: | 英语
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| 特色学科分类: | Biological Sciences - Environmental Biology
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| 英文关键词: | tropical forest
; composition
; animal community structure
; proximate driver
; key forest structural feature
; landscape composition
; research team
; ultimate driver
; species
; community composition
; vegetative structure
; species composition
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| 英文摘要: | This project seeks to disentangle and characterize drivers of plant and animal community structure and composition in one of the world's largest regenerating tropical forests. Determining why species are able to exist in a particular time and place (particularly the role of chance vs. inevitability) is simultaneously one of the most central tasks in ecology and a deeply pressing question for conservation in a rapidly changing world. Understanding these forces in regenerating tropical forest is a particularly timely given (1) the incredible biodiversity of tropical forests, (2) that the proportion of remaining forest classified as regenerating is high and ever-rising, and (3) such knowledge is a prerequisite for deploying ecological restoration as an effective tool for preserving threatened species and ecosystems.
The project team will assess three ultimate drivers of community composition and structure: soil quality, landscape composition, and initial vegetative conditions. Using a network of vegetative plots, species composition of terrestrial mammal, bat, bird, and singing-insect assemblages will be assessed. Fundamental to this task is developing a set of tools that will allow for the rapid, cheap, and non-invasive assessment of these animal groups. To this end, ultrasonic and audible-frequency recorders will be deployed, and the research team is developing techniques that will allow for the semi-automated analysis of recordings using machine learning. To further assess vegetative structure and species interactions as proximate drivers of composition, arrays of synced recorders will be used to determine how key forest structural features and the distribution of some species affects the presence of others. |
| 资源类型: | 项目
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/94482
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| Appears in Collections: | 影响、适应和脆弱性
气候减缓与适应
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| Recommended Citation: | |
David Wilcove. Dissertation Research: Disentangling drivers of community structure and composition of a tropical forest. 2014-01-01.
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