Arid
DOI10.1016/j.scitotenv.2016.11.182
Trend shifts in satellite-derived vegetation growth in Central Eurasia, 1982-2013
Xu, Hao-jie1,2; Wang, Xin-ping1; Yang, Tai-bao3
通讯作者Wang, Xin-ping
来源期刊SCIENCE OF THE TOTAL ENVIRONMENT
ISSN0048-9697
EISSN1879-1026
出版年2017
卷号579页码:1658-1674
英文摘要

Central Eurasian vegetation is critical for the regional ecological security and the global carbon cycle. However, climatic impacts on vegetation growth in Central Eurasia are uncertain. The reason for this uncertainty lies in the fact that the response of vegetation to climate change showed nonlinearity, seasonality and differences among plant functional types. Based on remotely sensed vegetation index and in-situ meteorological data for the years 1982-2013, in conjunction with the latest land cover type product, we analyzed how vegetation growth trend varied across different seasons and evaluated vegetation response to climate variables at regional, biome and pixel scales. We found a persistent increase in the growing season NDVI over Central Eurasia during 1982-1994, whereas this greening trend has stalled since the mid-1990s in response to increased water deficit. The stalled trend in the growing season NDVI was largely attributed by summer and autumn NDVI changes. Enhanced spring vegetation growth after 2002 was caused by rapid spring warming. The response of vegetation to climatic factors varied in different seasons. Precipitation was the main climate driver for the growing season and summer vegetation growth. Changes in temperature and precipitation during winter and spring controlled the spring vegetation growth. Autumn vegetation growth was mainly dependent on the vegetation growth in summer. We found diverse responses of different vegetation types to climate drivers in Central Eurasia. Forests were more responsive to temperature than to precipitation. Grassland and desert vegetation responded more strongly to precipitation than to temperature in summer but more strongly to temperature than to precipitation in spring. In addition, the growth of desert vegetation was more dependent on winter precipitation than that of grasslands. This study has important implications for improving the performance of terrestrial ecosystem models to predict future vegetation response to climate change. (C) 2016 Elsevier B.V. All rights reserved.


英文关键词Dryland vegetation Nonlinearity Drought Seasonality Plant functional type
类型Article
语种英语
国家Peoples R China
收录类别SCI-E
WOS记录号WOS:000393320400066
WOS关键词CENTRAL-ASIA ; NORTHERN-HEMISPHERE ; CLIMATE-CHANGE ; SEMIARID ECOSYSTEMS ; AVHRR GIMMS ; NDVI ; VARIABILITY ; PATTERNS ; EARTH ; PRECIPITATION
WOS类目Environmental Sciences
WOS研究方向Environmental Sciences & Ecology
来源机构兰州大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/202200
作者单位1.Chinese Acad Sci, Shapotou Desert Res & Expt Stn, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Peoples R China;
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China;
3.Lanzhou Univ, Coll Earth Environm Sci, Lanzhou 730000, Peoples R China
推荐引用方式
GB/T 7714
Xu, Hao-jie,Wang, Xin-ping,Yang, Tai-bao. Trend shifts in satellite-derived vegetation growth in Central Eurasia, 1982-2013[J]. 兰州大学,2017,579:1658-1674.
APA Xu, Hao-jie,Wang, Xin-ping,&Yang, Tai-bao.(2017).Trend shifts in satellite-derived vegetation growth in Central Eurasia, 1982-2013.SCIENCE OF THE TOTAL ENVIRONMENT,579,1658-1674.
MLA Xu, Hao-jie,et al."Trend shifts in satellite-derived vegetation growth in Central Eurasia, 1982-2013".SCIENCE OF THE TOTAL ENVIRONMENT 579(2017):1658-1674.
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