Impacts of Heat and Drought on Gross Primary Productivity in China

被引:4
|
作者
Zhu, Xiufang [1 ,2 ,3 ,4 ]
Zhang, Shizhe [1 ,2 ,4 ]
Liu, Tingting [4 ]
Liu, Ying [4 ]
机构
[1] Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
[2] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
[3] Beijing Normal Univ, Minist Educ, Key Lab Environm Change & Nat Disaster, Beijing 100875, Peoples R China
[4] Beijing Normal Univ, Fac Geog Sci, Inst Remote Sensing Sci & Engn, Beijing 100875, Peoples R China
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
GPP; heat; SPI; SPEI; copula function; NET PRIMARY PRODUCTION; VEGETATION PRODUCTIVITY; METEOROLOGICAL DROUGHT; CLIMATE; RESPONSES; PATTERNS; INDEXES; REGIONS;
D O I
10.3390/rs13030378
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Heat and drought stress, which often occur together, are the main environmental factors limiting the survival and growth of vegetation. Studies on the response of gross primary production (GPP) to extreme climate events such as heat and drought are highly significant for the identification of ecologically vulnerable regions, ecological risk assessments, and ecological environmental protection. We got 1982-2017 climatic data from the University of East Anglia Climatic Research Unit, Norwich, England, and GPP data from National Earth System Science Data Sharing Service Platform, Beijing, China. Using Theil-Sen median trend analysis and the Mann-Kendall test, we analyzed trends in temperature and the standardized precipitation/standardized precipitation evapotranspiration indices in the eight vegetation regions of China. Additionally, the response of GPP to the single and combined impacts of heat and drought were analyzed using multidimensional copula functions, and GPP reduction probabilities were estimated under different drought levels and heat intensities. The results showed that the probability of a drastic GPP reduction increases with increasing drought levels and heat intensities. The combined impacts of heat and drought on vegetation productivity is greater than the impacts of either drought or heat alone and presents a nonlinear superposition of the two extremes. The impact of heat on GPP is not evident when the drought level is high. The temperate grassland and warm temperate deciduous broad-leaved forest regions are the most sensitive regions to drought and heat in China. This study provides a scientific basis for the comprehensive evaluation of the risk of GPP reduction under the single and combined impacts of heat stress and drought stress.
引用
收藏
页码:1 / 22
页数:21
相关论文
共 50 条
  • [1] Response of Gross Primary Productivity to Drought Time-Scales Across China
    Sun, Shaobo
    Du, Wenli
    Song, Zhaoliang
    Zhang, Dongbo
    Wu, Xiuchen
    Chen, Baozhang
    Wu, Yuntao
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2021, 126 (04)
  • [2] Drought characteristics and their impacts on vegetation net primary productivity in the subtropical China
    Ye, Qing
    Feng, Wenzhong
    Jiao, Gengying
    Deng, Wenping
    [J]. FRONTIERS IN ECOLOGY AND EVOLUTION, 2023, 11
  • [3] The Forest Fire Dynamic Change Influencing Factors and the Impacts on Gross Primary Productivity in China
    Feng, Lili
    Zhou, Wenneng
    [J]. REMOTE SENSING, 2023, 15 (05)
  • [4] The impact of drought time scales and characteristics on gross primary productivity in China from 2001 to 2020
    Qiao, Longxin
    Xia, Haoming
    [J]. GEO-SPATIAL INFORMATION SCIENCE, 2024,
  • [5] Compound drought constrains gross primary productivity in Chinese grasslands
    He, Panxing
    Ma, Xiaoliang
    Sun, Zongjiu
    Han, Zhiming
    Ma, Shangqian
    Meng, Xiaoyu
    [J]. ENVIRONMENTAL RESEARCH LETTERS, 2022, 17 (10):
  • [6] Compound drought constrains gross primary productivity in Chinese grasslands
    He, Panxing
    Ma, Xiaoliang
    Sun, Zongjiu
    Han, Zhiming
    Ma, Shangqian
    Meng, Xiaoyu
    [J]. Environmental Research Letters, 2022, 17 (10)
  • [7] Divergent impacts of atmospheric water demand on gross primary productivity in three typical ecosystems in China
    Chen, Ning
    Song, Changchun
    Xu, Xiaofeng
    Wang, Xianwei
    Cong, Nan
    Jiang, Peipei
    Zu, Jiaxing
    Sun, Li
    Song, Yanyu
    Zuo, Yunjiang
    Liu, Jianzhao
    Zhang, Tao
    Xu, Mingjie
    Jiang, Peng
    Wang, Zhipeng
    Huang, Ke
    [J]. AGRICULTURAL AND FOREST METEOROLOGY, 2021, 307
  • [8] Widespread reduction in gross primary productivity caused by the compound heat and drought in Yangtze River Basin in 2022
    Li, Tingyu
    Wang, Shaoqiang
    Chen, Bin
    Wang, Yingping
    Chen, Shiliang
    Chen, Jinghua
    Xiao, Yuhan
    Xia, Ye
    Zhao, Ziqi
    Chen, Xuan
    Jiang, Yunhao
    Gu, Peng
    [J]. ENVIRONMENTAL RESEARCH LETTERS, 2024, 19 (03):
  • [9] Maximum Gross Primary Productivity Dominates the Trend in Gross Primary Productivity in China's Deciduous Forest Ecosystems
    Lv, Yan
    Li, Xiaoyong
    Chi, Wenfeng
    [J]. FORESTS, 2023, 14 (09):
  • [10] Drought offsets the vegetation greenness-induced gross primary productivity from 1982 to 2018 in China
    Zheng, Liang
    Lu, Jianzhong
    Chen, Xiaoling
    [J]. JOURNAL OF HYDROLOGY, 2024, 632