Water memory effects and their impacts on global vegetation productivity and resilience

被引:81
|
作者
Liu, Laibao [1 ,2 ]
Zhang, Yatong [1 ,2 ]
Wu, Shuyao [1 ,2 ]
Li, Shuangcheng [1 ,2 ]
Qin, Dahe [3 ]
机构
[1] Peking Univ, Coll Urban & Environm Sci, Beijing 100871, Peoples R China
[2] Peking Univ, Minist Educ, Key Lab Earth Surface Proc, Beijing 100871, Peoples R China
[3] Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, State Key Lab Cryospher Sci, Lanzhou, Gansu, Peoples R China
来源
SCIENTIFIC REPORTS | 2018年 / 8卷
关键词
GREAT-PLAINS; CLIMATE; VARIABILITY; RESPONSES; PRECIPITATION; DROUGHT; ECOSYSTEMS; SATELLITE; LEGACIES; INDEX;
D O I
10.1038/s41598-018-21339-4
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Memory effects refer to the impacts of antecedent climate conditions on current vegetation productivity. This temporal linkage has been found to be strong in arid and semi-arid regions. However, the dominant climatic factors that determine such patterns are still unclear. Here, we defined 'water-memory effects' as the persistent effects of antecedent precipitation on the vegetation productivity for a given memory length (from 1 to up to 12 months). Based on satellite observations and climate data, we quantified the length of water-memory effects and evaluated the contributions of antecedent precipitation on current vegetation. Our results showed that vegetation productivity was highly dependent on antecedent precipitation in arid and semi-arid regions. The average length of water memory was approximately 5.6 months. Globally, water-memory effects could explain the geographical pattern and strength of memory effects, indicating that precipitation might be the dominant climatic factor determining memory effects because of its impact on water availability. Moreover, our results showed vegetation in regions with low mean annual precipitation or a longer water memory has lower engineering resilience (i.e. slower recovery rate) to disturbances. These findings will enable better assessment of memory effects and improve our understanding of the vulnerability of vegetation to climate change.
引用
收藏
页数:9
相关论文
共 50 条
  • [41] Air temperature optima of vegetation productivity across global biomes
    Huang, Mengtian
    Piao, Shilong
    Ciais, Philippe
    Penuelas, Josep
    Wang, Xuhui
    Keenan, Trevor F.
    Peng, Shushi
    Berry, Joseph A.
    Wang, Kai
    Mao, Jiafu
    Alkama, Ramdane
    Cescatti, Alessandro
    Cuntz, Matthias
    De Deurwaerder, Hannes
    Gao, Mengdi
    He, Yue
    Liu, Yongwen
    Luo, Yiqi
    Myneni, Ranga B.
    Niu, Shuli
    Shi, Xiaoying
    Yuan, Wenping
    Verbeeck, Hans
    Wang, Tao
    Wu, Jin
    Janssens, Ivan A.
    NATURE ECOLOGY & EVOLUTION, 2019, 3 (05) : 772 - 779
  • [42] Effects of different pipe burial depths on crop yield, water productivity, and irrigation water productivity: A global meta-analysis
    Zhang, Fan
    Wang, Xiukang
    Liu, Shiju
    Ren, Hao
    Wang, Yandong
    Han, Juan
    EUROPEAN JOURNAL OF AGRONOMY, 2025, 166
  • [43] Impacts of vegetation greening and climate change on trend and interannual variability in vegetation productivity in the Wuyi Mountain region
    He, Juan
    Yang, Mengmiao
    Liu, Jane
    Chen, Jing M.
    Xie, Xinyao
    GEO-SPATIAL INFORMATION SCIENCE, 2025, 28 (01) : 224 - 245
  • [44] Global estimation of crop productivity and the impacts of global warming by GIS and EPIC integration
    Tan, GX
    Shibasaki, R
    ECOLOGICAL MODELLING, 2003, 168 (03) : 357 - 370
  • [45] Global Changes in Baseflow Under the Impacts of Changing Climate and Vegetation
    Tan, Xuejin
    Liu, Bingjun
    Tan, Xuezhi
    WATER RESOURCES RESEARCH, 2020, 56 (09)
  • [46] Human Impacts Dominate Global Loss of Lake Ecosystem Resilience
    Han, Yaoyao
    Lin, Qi
    Huang, Shixin
    Du, Chenliang
    Shen, Ji
    Zhang, Ke
    GEOPHYSICAL RESEARCH LETTERS, 2024, 51 (11)
  • [47] Network structure impacts global commodity trade growth and resilience
    Kharrazi, Ali
    Rovenskaya, Elena
    Fath, Brian D.
    PLOS ONE, 2017, 12 (02):
  • [48] Exploring the resilience of global vegetation ecosystem: Nonlinearity, driving forces, and management
    Lv, Xuan
    Chen, Guo
    Wang, Qiang
    Chen, Tiantian
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2025, 377
  • [49] Evaluation of Spatiotemporal Resilience and Resistance of Global Vegetation Responses to Climate Change
    Sun, Na
    Liu, Naijing
    Zhao, Xiang
    Zhao, Jiacheng
    Wang, Haoyu
    Wu, Donghai
    REMOTE SENSING, 2022, 14 (17)
  • [50] Analysis of global vegetation resilience under different future climate scenarios
    Chen, Zheng
    Fan, Peiyi
    Hou, Xintong
    Ji, Fei
    Li, Li
    Qian, Zhonghua
    Feng, Guolin
    Sun, Guiquan
    CLIMATE DYNAMICS, 2024, 62 (08) : 7967 - 7980