Arid
DOI10.1016/j.rse.2016.01.002
The spatiotemporal patterns of vegetation coverage and biomass of the temperate deserts in Central Asia and their relationships with climate controls
Zhang, Chi1; Lu, Dengsheng2,3; Chen, Xi1; Zhang, Yuanming1; Maisupova, Bagila4; Tao, Ye1,5
通讯作者Tao, Ye
来源期刊REMOTE SENSING OF ENVIRONMENT
ISSN0034-4257
EISSN1879-0704
出版年2016
卷号175页码:271-281
英文摘要

More than 80% of the world’s temperate deserts are located in Central Asia. Knowledge of the desert biomass distribution and its dynamic related to the climate controls are vital for the development of adaptation strategies to meet the challenge of climate changes in the 21st century. However, due to the lack of field observations and the difficulties in retrieving vegetation fractional coverage (VFC) of sparsely vegetated lands across large areas from satellite imagery, the amount of desert biomass and its spatiotemporal patterns in Central Asia are still unclear. Based on 168 field observations and the Moderate Resolution Imaging Spectroradiometer (MODIS) data, we developed the VFC and biomass maps of the temperate deserts in Central Asia for the early 2000s (2000-2004) and early 2010s (2010-2014) and investigated the relationship between climate drivers and biomass distribution in the first decade of the 21st century. Our results showed the mean VFC (+/- SE) and biomass density (+/- SE) of the temperate desert, which covers an area of 3.6 x 10(6) km(2) in Central Asia, were 19 +/- 14% and 280 +/- 190 g m(-2) respectively. The total desert biomass amounted to 1.00 Gt, about 36% of which was contributed by the temperate semi-shrub and dwarf semi-shrub. Precipitation, aridity, and growing season temperature were the major control factors on the biomass. Following the precipitation gradient, the western Central Asia had higher biomass density than the east, and relatively high biomass density was found on the windward slopes of the mountains. Large areas in the western Central Asia desert lost biomass due to the prolonged drought since the late 1990s. The differences in climate sensitivities among that desert vegetation types were noteworthy, indicating the future climate change may trigger vegetation succession. (c) 2016 Elsevier Inc. All rights reserved.


英文关键词Temperate desert Biomass Vegetation fractional coverage Central Asia Climate change
类型Article
语种英语
国家Peoples R China ; USA ; Kazakhstan
收录类别SCI-E
WOS记录号WOS:000371000000023
WOS关键词ARID ENVIRONMENTS ; NORTHERN CHINA ; SOUTHWEST ASIA ; CARBON STOCK ; MIDDLE ASIA ; PRECIPITATION ; ECOSYSTEMS ; DYNAMICS ; REFLECTANCE ; COMMUNITIES
WOS类目Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构中国科学院新疆生态与地理研究所
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/195996
作者单位1.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Xinjiang, Peoples R China;
2.Zhejiang A&F Univ, Sch Environm & Resource Sci, Key Lab Carbon Cycling Forest Ecosyst & Carbon Se, Lin An 311300, Zhejiang, Peoples R China;
3.Michigan State Univ, Ctr Global Change & Earth Observat, E Lansing, MI 48823 USA;
4.Minist Agr, Almaty Branch, Kazakh Sci Res Inst Forestry, Alma Ata, Kazakhstan;
5.Anqing Normal Univ, Coll Life Sci, Prov Key Lab Biodivers Study & Ecol Conservat Sou, Anqing 246133, Anhui, Peoples R China
推荐引用方式
GB/T 7714
Zhang, Chi,Lu, Dengsheng,Chen, Xi,et al. The spatiotemporal patterns of vegetation coverage and biomass of the temperate deserts in Central Asia and their relationships with climate controls[J]. 中国科学院新疆生态与地理研究所,2016,175:271-281.
APA Zhang, Chi,Lu, Dengsheng,Chen, Xi,Zhang, Yuanming,Maisupova, Bagila,&Tao, Ye.(2016).The spatiotemporal patterns of vegetation coverage and biomass of the temperate deserts in Central Asia and their relationships with climate controls.REMOTE SENSING OF ENVIRONMENT,175,271-281.
MLA Zhang, Chi,et al."The spatiotemporal patterns of vegetation coverage and biomass of the temperate deserts in Central Asia and their relationships with climate controls".REMOTE SENSING OF ENVIRONMENT 175(2016):271-281.
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