共 81 条
Spatial and temporal effects of drought on Chinese vegetation under different coverage levels
被引:134
作者:

Ding, Yibo
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机构: Northwest A&F Univ, Key Lab Agr Soil & Water Engn Arid & Semiarid Are, Minist Educ, Yangling 712100, Shaanxi, Peoples R China

Xu, Jiatun
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机构: Northwest A&F Univ, Key Lab Agr Soil & Water Engn Arid & Semiarid Are, Minist Educ, Yangling 712100, Shaanxi, Peoples R China

Wang, Xiaowen
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机构: Northwest A&F Univ, Key Lab Agr Soil & Water Engn Arid & Semiarid Are, Minist Educ, Yangling 712100, Shaanxi, Peoples R China

Peng, Xiongbiao
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机构: Northwest A&F Univ, Key Lab Agr Soil & Water Engn Arid & Semiarid Are, Minist Educ, Yangling 712100, Shaanxi, Peoples R China

Cai, Huanjie
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h-index: 0
机构: Northwest A&F Univ, Key Lab Agr Soil & Water Engn Arid & Semiarid Are, Minist Educ, Yangling 712100, Shaanxi, Peoples R China
机构:
[1] Northwest A&F Univ, Key Lab Agr Soil & Water Engn Arid & Semiarid Are, Minist Educ, Yangling 712100, Shaanxi, Peoples R China
[2] Northwest A&F Univ, Inst Water Saving Agr Arid Areas China, Yangling 712100, Shaanxi, Peoples R China
[3] Northwest A&F Univ, Coll Water Resources & Architectural Engn, Yangling 712100, Shaanxi, Peoples R China
基金:
中国国家自然科学基金;
关键词:
Vegetation activity;
Meteorological;
Climatic characteristics;
MODIS;
Correlation analysis;
NET PRIMARY PRODUCTIVITY;
WATER-USE EFFICIENCY;
CLIMATE-CHANGE;
RIVER-BASIN;
FOREST VEGETATION;
EXTREME DROUGHT;
LOESS PLATEAU;
TIME-SCALES;
LAND-USE;
RESPONSES;
D O I:
10.1016/j.scitotenv.2020.137166
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
Land surface vegetation dynamics are strongly affected by drought. Thus, understanding the responses of vegetation to drought can inform measures to increase biome stability. In this study, the normalized difference vegetation index (NDVI) and the Palmer drought severity index (PDSI) were utilized to investigate the relationship between vegetation activity and drought across different drought regions and ecological community types from 1982 to 2015. Our results showed that the highest correlation between monthly NDVI and PDSI at different timescales (1-36 months) indicated the degree of drought impact on vegetation. There were diverse responses of vegetation to drought according to the drought features and dimatic environment. The northern grassland, cropland, and desert ecosystems were strongly impacted by drought. These vegetation ecosystems had a low sensitivity to drought in southern China. Drought had the strongest impact on grassland in summer, which is the high frequency drought season. The most susceptible ecosystem types to drought were those with homogenous vegetation, especially under long-term drought conditions (such as the Inner Mongolia Plateau dominated by grassland). Under global warming, drought with high-temperature characteristics is expected to become more frequent and severe. Such drought could threaten the survival of plateau grassland, arid plain grassland, and rain-fed cropland, as high temperatures accelerate evaporation, leading to water deficit. However, moist forests showed little threat under normal drought. We suggest that future research should focus on vegetation activity in northern and southwestern China, where the vegetation shows the greatest sensitivity to drought. (C) 2020 Elsevier B.V. All rights reserved.
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Potsdam Inst Climate Impact Res, D-14412 Potsdam, Germany Potsdam Inst Climate Impact Res, D-14412 Potsdam, Germany

Rahmstorf, Stefan
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Potsdam Inst Climate Impact Res, D-14412 Potsdam, Germany Potsdam Inst Climate Impact Res, D-14412 Potsdam, Germany
[10]
Monitoring vegetative drought dynamics in the Brazilian semiarid region
[J].
Cunha, A. P. M.
;
Alvala, R. C.
;
Nobre, C. A.
;
Carvalho, M. A.
.
AGRICULTURAL AND FOREST METEOROLOGY,
2015, 214
:494-505

Cunha, A. P. M.
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Brazilian Ctr Monitoring & Warning Nat Disasters, Sao Jose Dos Campos, SP, Brazil Brazilian Ctr Monitoring & Warning Nat Disasters, Sao Jose Dos Campos, SP, Brazil

Alvala, R. C.
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Brazilian Ctr Monitoring & Warning Nat Disasters, Sao Jose Dos Campos, SP, Brazil Brazilian Ctr Monitoring & Warning Nat Disasters, Sao Jose Dos Campos, SP, Brazil

Nobre, C. A.
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Brazilian Ctr Monitoring & Warning Nat Disasters, Sao Jose Dos Campos, SP, Brazil Brazilian Ctr Monitoring & Warning Nat Disasters, Sao Jose Dos Campos, SP, Brazil

Carvalho, M. A.
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Brazilian Ctr Monitoring & Warning Nat Disasters, Sao Jose Dos Campos, SP, Brazil Brazilian Ctr Monitoring & Warning Nat Disasters, Sao Jose Dos Campos, SP, Brazil