| DOI: | 10.5194/hess-21-2449-2017
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| Scopus记录号: | 2-s2.0-85019222011
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| 论文题名: | Ecohydrological optimality in the Northeast China Transect |
| 作者: | Cong Z; , Li Q; , Mo K; , Zhang L; , Shen H
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| 刊名: | Hydrology and Earth System Sciences
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| ISSN: | 10275606
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| 出版年: | 2017
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| 卷: | 21, 期:5 | | 起始页码: | 2449
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| 结束页码: | 2462
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| 语种: | 英语
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| Scopus关键词: | Economic and social effects
; Forestry
; Sensitivity analysis
; Vegetation
; Water supply
; Canopy transpirations
; Correlation coefficient
; Field-measured data
; Normalized difference vegetation index
; Northeast China Transect
; Precipitation gradients
; Vegetation distribution
; Vegetation properties
; Climate change
; bioclimatology
; biological method
; canopy architecture
; climate change
; climate conditions
; climate effect
; ecohydrology
; forest cover
; leaf area index
; NDVI
; precipitation (climatology)
; research program
; transect
; transpiration
; vegetation dynamics
; water budget
; China
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| 英文摘要: | The Northeast China Transect (NECT) is one of the International Geosphere-Biosphere Program (IGBP) terrestrial transects, where there is a significant precipitation gradient from east to west, as well as a vegetation transition of forest grassland desert. It is remarkable to understand vegetation distribution and dynamics under climate change in this transect. We take canopy cover (M), derived from Normalized Difference Vegetation Index (NDVI), as an index to describe the properties of vegetation distribution and dynamics in the NECT. In Eagleson's ecohydrological optimality theory, the optimal canopy cover (M∗) is determined by the trade-off between water supply depending on water balance and water demand depending on canopy transpiration. We apply Eagleson's ecohydrological optimality method in the NECT based on data from 2000 to 2013 to get M∗, which is compared with M from NDVI to further discuss the sensitivity of M∗ to vegetation properties and climate factors. The result indicates that the average M∗ fits the actual M well (for forest, M∗ Combining double low line 0.822 while M Combining double low line 0.826; for grassland, M∗ Combining double low line 0.353 while M Combining double low line 0.352; the correlation coefficient between M and M∗ is 0.81). Results of water balance also match the field-measured data in the references. The sensitivity analyses show that M∗ decreases with the increase of leaf area index (LAI), stem fraction and temperature, while it increases with the increase of leaf angle and precipitation amount. Eagleson's ecohydrological optimality method offers a quantitative way to understand the impacts of climate change on canopy cover and provides guidelines for ecorestoration projects. © 2017 Author(s). |
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| 资源类型: | 期刊论文
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/79175
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| Appears in Collections: | 气候变化事实与影响
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作者单位: | Department of Hydraulic Engineering, Tsinghua University, Beijing, China; State Key Laboratory of Hydroscience and Engineering, Beijing, China
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| Recommended Citation: | |
Cong Z,, Li Q,, Mo K,et al. Ecohydrological optimality in the Northeast China Transect[J]. Hydrology and Earth System Sciences,2017-01-01,21(5)
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