The spatiotemporal patterns of vegetation coverage and biomass of the temperate deserts in Central Asia and their relationships with climate controls

被引:161
|
作者
Zhang, Chi [1 ]
Lu, Dengsheng [2 ,3 ]
Chen, Xi [1 ]
Zhang, Yuanming [1 ]
Maisupova, Bagila [4 ]
Tao, Ye [1 ,5 ]
机构
[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
基金
中国国家自然科学基金;
关键词
Temperate desert; Biomass; Vegetation fractional coverage; Central Asia; Climate change; SOUTHWEST ASIA; CARBON STOCK; PRECIPITATION; ECOSYSTEMS; ENVIRONMENTS; REFLECTANCE; COMMUNITIES; DYNAMICS; IMPACTS; CHINA;
D O I
10.1016/j.rse.2016.01.002
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
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.
引用
收藏
页码:271 / 281
页数:11
相关论文
共 50 条
  • [41] Spatio-Temporal Variation in Vegetation Biomass and Its Relationships with Climate Factors in the Xilingol Grasslands, Northern China
    Gao, Tian
    Yang, Xiuchun
    Jin, Yunxiang
    Ma, Hailong
    Li, Jinya
    Yu, Haida
    Yu, Qiangyi
    Zheng, Xiao
    Xu, Bin
    PLOS ONE, 2013, 8 (12):
  • [42] Climate and topographic controls on snow phenology dynamics in the Tienshan Mountains, Central Asia
    Li, Yupeng
    Chen, Yaning
    Li, Zhi
    ATMOSPHERIC RESEARCH, 2020, 236
  • [43] Spatiotemporal changes in water, land use, and ecosystem services in Central Asia considering climate changes and human activities
    Yu Yang
    Chen Xi
    Malik, Ireneusz
    Wistuba, Malgorzata
    Cao Yiguo
    Hou Dongde
    Ta Zhijie
    He Jing
    Zhang Lingyun
    Yu Ruide
    Zhang Haiyan
    Sun Lingxiao
    JOURNAL OF ARID LAND, 2021, 13 (09) : 881 - 890
  • [44] Spatiotemporal characteristics of seasonal precipitation and their relationships with ENSO in Central Asia during 1901–2013
    Xi Chen
    Shanshan Wang
    Zengyun Hu
    Qiming Zhou
    Qi Hu
    Journal of Geographical Sciences, 2018, 28 : 1341 - 1368
  • [45] Monitoring of vegetation condition using the NDVI/ENSO anomalies in Central Asia and their relationships with ONI (very strong) phases
    Aralova, Dildora
    Toderich, Kristina
    Jarihani, Ben
    Gafurov, Dilshod
    Gismatulina, Liliya
    EARTH RESOURCES AND ENVIRONMENTAL REMOTE SENSING/GIS APPLICATIONS VII, 2016, 10005
  • [46] Investigation of controls on the regional soil moisture spatiotemporal patterns across different climate zones
    Wu, Dongdong
    Wang, Tiejun
    Di, Chongli
    Wang, Lichun
    Chen, Xi
    SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 726
  • [47] Grassland biomass spatiotemporal patterns and response to climate change in eastern Inner Mongolia based on XGBoost model estimates
    Jia, Ziyu
    Zhang, Zhenhao
    Cheng, Yunxiang
    Buhebaoyin
    Borjigin, Shinchilelt
    Quan, Zhijia
    ECOLOGICAL INDICATORS, 2024, 158
  • [48] Large-scale climate variability controls on climate, vegetation coverage, lake and groundwater storage in the Lake Urmia watershed using SSA and wavelet analysis
    Rezaei, Abolfazl
    Gurdak, Jason J.
    SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 724
  • [49] Spatiotemporal patterns and driving factors of NDVI changes in the central and Western Asia economic corridor over the past decade
    Wang, Kaimin
    Xu, Min
    Wang, Shaohua
    Wang, Lin
    Tian, Haijing
    Boonprong, Sornkitja
    Gao, Xiaotong
    Yang, Xinwei
    Guo, Heyi
    Li, Jingbo
    Yang, Yujie
    Hu, Ruichen
    Zhang, Yu
    Cao, Chunxiang
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2025, 13
  • [50] A greater negative impact of future climate change on vegetation in Central Asia: Evidence from trajectory/pattern analysis
    Han, Wanqiang
    Zheng, Jianghua
    Guan, Jingyun
    Liu, Yujia
    Liu, Liang
    Han, Chuqiao
    Li, Jianhao
    Li, Congren
    Tian, Ruikang
    Mao, Xurui
    ENVIRONMENTAL RESEARCH, 2024, 262