Tracking Global Patterns of Drought‐Induced Productivity Loss Along Severity Gradient-Reference-Cited by-同舟云学术

Tracking Global Patterns of Drought‐Induced Productivity Loss Along Severity Gradient

Published:2022-06 Issue:6 Volume:127 Page:
ISSN:2169-8953
Container-title:Journal of Geophysical Research: Biogeosciences
language:en
Short-container-title:JGR Biogeosciences

Author:

Wang Yiheng¹²^ORCID,Fu Zheng³^ORCID,Hu Zhongmin⁴,Niu Shuli¹²^ORCID

Affiliation:

1. Key Laboratory of Ecosystem Network Observation and Simulation Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China

2. School of Resources and Environment University of Chinese Academy of Sciences Beijing China

3. Laboratoire des Sciences du Climat et de l'Environnement (LSCE) CEA‐CNRS‐UVSQ UMR8212 Gif‐sur‐Yvette France

4. School of Geography South China Normal University Guangzhou China

Funder

National Natural Science Foundation of China

Publisher

American Geophysical Union (AGU)

Subject

Paleontology,Atmospheric Science,Soil Science,Water Science and Technology,Ecology,Aquatic Science,Forestry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021JG006753

Reference89 articles.

1. Evaluation of drought using SPEI drought class transitions and log-linear models for different agro-ecological regions of India

2. A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests

3. Divergent forest sensitivity to repeated extreme droughts

4. Direct and seasonal legacy effects of the 2018 heat wave and drought on European ecosystem productivity

5. Changes in forest productivity across Alaska consistent with biome shift

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