The detection and attribution of extreme reductions in vegetation growth across the global land surface

Author:

Yang Hui12,Munson Seth M.3ORCID,Huntingford Chris4ORCID,Carvalhais Nuno156ORCID,Knapp Alan K.7ORCID,Li Xiangyi2,Peñuelas Josep89ORCID,Zscheischler Jakob10,Chen Anping7ORCID

Affiliation:

1. Department of Biogeochemical Integration Max Planck Institute for Biogeochemistry Jena Germany

2. College of Urban and Environmental Sciences, Sino‐French Institute for Earth System Science Peking University Beijing China

3. Southwest Biological Science Center U.S. Geological Survey Arizona Flagstaff USA

4. U.K. Centre for Ecology and Hydrology Oxfordshire Wallingford UK

5. Departamento de Ciências e Engenharia do Ambiente, Faculdade de Ciências e Tecnologia Universidade Nova de Lisboa Caparica Portugal

6. ELLIS Unit Jena Jena Germany

7. Department of Biology and Graduate Degree Program in Ecology Colorado State University Colorado Fort Collins USA

8. CREAF Catalonia Barcelona Spain

9. CSIC Global Ecology Unit CREAF‐CSIC‐UAB Catalonia Barcelona Spain

10. Department of Computational Hydrosystems Helmholtz Centre for Environmental Research – UFZ Leipzig Germany

Abstract

AbstractNegative extreme anomalies in vegetation growth (NEGs) usually indicate severely impaired ecosystem services. These NEGs can result from diverse natural and anthropogenic causes, especially climate extremes (CEs). However, the relationship between NEGs and many types of CEs remains largely unknown at regional and global scales. Here, with satellite‐derived vegetation index data and supporting tree‐ring chronologies, we identify periods of NEGs from 1981 to 2015 across the global land surface. We find 70% of these NEGs are attributable to five types of CEs and their combinations, with compound CEs generally more detrimental than individual ones. More importantly, we find that dominant CEs for NEGs vary by biome and region. Specifically, cold and/or wet extremes dominate NEGs in temperate mountains and high latitudes, whereas soil drought and related compound extremes are primarily responsible for NEGs in wet tropical, arid and semi‐arid regions. Key characteristics (e.g., the frequency, intensity and duration of CEs, and the vulnerability of vegetation) that determine the dominance of CEs are also region‐ and biome‐dependent. For example, in the wet tropics, dominant individual CEs have both higher intensity and longer duration than non‐dominant ones. However, in the dry tropics and some temperate regions, a longer CE duration is more important than higher intensity. Our work provides the first global accounting of the attribution of NEGs to diverse climatic extremes. Our analysis has important implications for developing climate‐specific disaster prevention and mitigation plans among different regions of the globe in a changing climate.

Funder

National Natural Science Foundation of China

U.S. Department of Energy

Blond McIndoe Research Foundation

Publisher

Wiley

Subject

General Environmental Science,Ecology,Environmental Chemistry,Global and Planetary Change

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