Abstract
The global mean temperature is increasing due to the increase in greenhouse gases in the atmosphere, but paradoxically, many regions in the mid-latitudes have experienced cold winters recently. Here we analyse multiple observed and modelled datasets to evaluate links between Arctic temperature variation and cold damage in the East Asian terrestrial ecosystem. We find that winter warming over the Barents-Kara Sea has led to simultaneous negative temperature anomalies over most areas in East Asia and negative leaf area index anomalies in southern China where mostly subtropical evergreen forests are growing. In addition to these simultaneous impacts, spring vegetation activity and gross primary productivity were also reduced over evergreen and deciduous trees, and spring phenological dates are delayed. Earth System model simulations reveal that cold damage becomes stronger under greenhouse warming; therefore Arctic warming-induced cold stress should be considered in forest and carbon management strategies.
| Original language | English |
|---|---|
| Article number | 16 |
| Journal | Communications Earth and Environment |
| Volume | 3 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2022 Dec |
Bibliographical note
Funding Information:J.-S.Kim and G.S.-S. were supported by the University of Zurich research priority program on Global Change and Biodiversity (URPP GCB). J.-S.Kug was supported by the R&D Program for Oceans and Polar Regions of the National Research Foundation (NRF) funded by the Ministry of Science and ICT (2020M1A5A1110670). S.J. was supported by the R&D Program for Oceans and Polar Regions of the National Research Foundation (NRF) funded by the Ministry of Science and ICT (NRF-2020M1A5A1110493). J.-H.Y. was supported by the National Research Foundation (NRF-2020M1A5A1110578). N.Z. was supported by NOAA Climate Program Office (grant number: NA18OAR4310266) and NIST Greenhouse Gas Measurement Program (70NANB14H333). Y.Z. and X.C. were supported by the National Natural Science Foundation of China under Grant Nos.41771049 and China Scholarship Council. M.W. was supported by the UK National Centre for Earth Observation. K.I. was supported by JSPS KAKENHI Grant Number JP19H05668. Phenological datasets were provided by the meteorological information center of the China Meteorological Administration (CMA), Korea Meteorological Administration (KMA) and Japan Meteorological Agency (JMA). Community Land surface Model version 5 (CLM5) simulations were performed on the Piz Daint supercomputer at the Swiss National Supercomputing Centre (CSCS) under project ID uzh28.
Funding Information:
J.-S.Kim and G.S.-S. were supported by the University of Zurich research priority program on Global Change and Biodiversity (URPP GCB). J.-S.Kug was supported by the R&D Program for Oceans and Polar Regions of the National Research Foundation (NRF) funded by the Ministry of Science and ICT (2020M1A5A1110670). S.J. was supported by the R&D Program for Oceans and Polar Regions of the National Research Foundation (NRF) funded by the Ministry of Science and ICT (NRF-2020M1A5A1110493). J.-H.Y. was supported by the National Research Foundation (NRF-2020M1A5A1110578). N.Z. was supported by NOAA Climate Program Office (grant number: NA18OAR4310266) and NIST Greenhouse Gas Measurement Program (70NANB14H333). Y.Z. and X.C. were supported by the National Natural Science Foundation of China under Grant Nos.41771049 and China Scholarship Council. M.W. was supported by the UK National Centre for Earth Observation. K.I. was supported by JSPS KAKENHI Grant Number JP19H05668. Phenological datasets were provided by the meteorological information center of the China Meteorological Administration (CMA), Korea Meteorological Administration (KMA) and Japan Meteorological Agency (JMA). Community Land surface Model version 5 (CLM5) simulations were performed on the Piz Daint supercomputer at the Swiss National Supercomputing Centre (CSCS) under project ID uzh28.
Publisher Copyright:
© 2022, The Author(s).
All Science Journal Classification (ASJC) codes
- Earth and Planetary Sciences(all)
- Environmental Science(all)
