| 项目编号: | 1457720
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| 项目名称: | Collaborative Research: Landscape heterogeneity modulates the sensitivity of forested ecosystems to climate |
| 作者: | Jia Hu
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| 承担单位: | Montana State 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: | 2018-05-31
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| 资助金额: | USD339897
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| 资助来源: | US-NSF
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| 项目类别: | Continuing 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: | climate
; montana climate office
; study
; western landscape
; tree
; forest productivity
; mountainous landscape
; mountain landscape
; growth
; vegetation sensitivity
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| 英文摘要: | The frequency, duration and severity of droughts are increasing across the western United States and are affecting the growth of trees in forests. However, predicting how the growth of specific forests will respond is difficult, especially in mountainous areas of the west that are characterized as having steep gradients in climate related to complex local topography. For example, the topography across a western landscape can affect the availability of water and light for the growth of trees and other plants, and the growth responses will depend on specific physiological attributes that vary highly across tree species. The main objective of this study is to link three factors (variability in climate, the physical characteristics of watersheds, and the physiology of vegetation) in order to better understand and predict forest productivity across mountainous landscapes of the west using model study sites in Montana and Oregon. The study will increase participation of underrepresented minorities in science, technology, engineering and mathematics through development of K-12 lesson plans and science kits for rural schools across Montana. The study will also be carried out in collaboration with the Montana Climate Office to more effectively disseminate results to stakeholders and decision makers in the western United States related to natural resource management and stewardship.
Scientists, forest managers and decision makers must be prepared to understand, respond and adapt to the effects of a changing climate. This project will lead to improved predictions of how forests will respond to changes in climate in the future by more clearly linking the physical characteristics of mountain landscapes and the physiological attributes of trees in spatially explicit computer models of forest productivity. The methods to be used include a range of hydrological, tree physiological, and isotopic measurements, all nested within large-scale satellite remote sensing estimates of forest productivity. This project will merge concepts and methods from the fields of ecology and hydrology to provide a more comprehensive understanding of vegetation sensitivity to climate as related to its position in the landscape. |
| 资源类型: | 项目
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/94441
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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: | |
Jia Hu. Collaborative Research: Landscape heterogeneity modulates the sensitivity of forested ecosystems to climate. 2014-01-01.
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