@article{3fd2648d6aec47b2a730507f0dfc44a2,
title = "Dryness limits vegetation pace to cope with temperature change in warm regions",
abstract = "Climate change leads to increasing temperature and more extreme hot and drought events. Ecosystem capability to cope with climate warming depends on vegetation's adjusting pace with temperature change. How environmental stresses impair such a vegetation pace has not been carefully investigated. Here we show that dryness substantially dampens vegetation pace in warm regions to adjust the optimal temperature of gross primary production (GPP) ((Figure presented.)) in response to change in temperature over space and time. (Figure presented.) spatially converges to an increase of 1.01°C (95% CI: 0.97, 1.05) per 1°C increase in the yearly maximum temperature (Tmax) across humid or cold sites worldwide (37oS–79oN) but only 0.59°C (95% CI: 0.46, 0.74) per 1°C increase in Tmax across dry and warm sites. (Figure presented.) temporally changes by 0.81°C (95% CI: 0.75, 0.87) per 1°C interannual variation in Tmax at humid or cold sites and 0.42°C (95% CI: 0.17, 0.66) at dry and warm sites. Regardless of the water limitation, the maximum GPP (GPPmax) similarly increases by 0.23 g C m−2 day−1 per 1°C increase in (Figure presented.) in either humid or dry areas. Our results indicate that the future climate warming likely stimulates vegetation productivity more substantially in humid than water-limited regions.",
keywords = "GPP, adaptation magnitude, carbon cycle, climate change, optimum temperature, temperature adaptation, thermal optimality, water limitation",
author = "Bingxue Wang and Weinan Chen and Dashuan Tian and Zhaolei Li and Jinsong Wang and Zheng Fu and Yiqi Luo and Shilong Piao and Guirui Yu and Shuli Niu",
note = "Funding Information: This work is financially supported by the National Natural Science Foundation of China (31625006), National Key R & D Program of China (2022YFF0802102), and International Partnership Program of Chinese Academy of Science (177GJH2022020BS). We used the eddy covariance data of the FLUXNET community by the following networks: AmeriFlux (US Department of Energy, Biological and Environmental Research, Terrestrial Carbon Program [DE‐FG02‐04ER63917 and DE‐FG02‐04ER63911]), AisaFlux (supported by Asia‐Pacific Network for Global Change Research), GHG‐Europe, Fluxnet‐Canada Research Network and Canadian Carbon Program (supported by CFCAS, NSERC, BIOCAP, Environment Canada, and NRCan), BERMS (Boreal Ecosystem Research and Monitoring Sites), KoFlux, LBA, ChinaFlux, JapanFlux, NECC, OzFlux, USCCC, European Fluxes Database (Current database for CarboAfrica, CarboEurope, CarboItaly, EuroFlux, GreenGrass, IMECC, and TCOS Siberia), ICOS (Integrated Carbon Observation System), IWFLUX (Inland Water Greenhouse Gas FLUX), MexFlux, RusFluxNet, Swiss Fluxnet, TCOS Siberia (Terrestrial Carbon Observation System Siberia), and Urban Fluxnet. We appreciate the financial support for the eddy covariance data. Funding Information: This work is financially supported by the National Natural Science Foundation of China (31625006), National Key R & D Program of China (2022YFF0802102), and International Partnership Program of Chinese Academy of Science (177GJH2022020BS). We used the eddy covariance data of the FLUXNET community by the following networks: AmeriFlux (US Department of Energy, Biological and Environmental Research, Terrestrial Carbon Program [DE-FG02-04ER63917 and DE-FG02-04ER63911]), AisaFlux (supported by Asia-Pacific Network for Global Change Research), GHG-Europe, Fluxnet-Canada Research Network and Canadian Carbon Program (supported by CFCAS, NSERC, BIOCAP, Environment Canada, and NRCan), BERMS (Boreal Ecosystem Research and Monitoring Sites), KoFlux, LBA, ChinaFlux, JapanFlux, NECC, OzFlux, USCCC, European Fluxes Database (Current database for CarboAfrica, CarboEurope, CarboItaly, EuroFlux, GreenGrass, IMECC, and TCOS Siberia), ICOS (Integrated Carbon Observation System), IWFLUX (Inland Water Greenhouse Gas FLUX), MexFlux, RusFluxNet, Swiss Fluxnet, TCOS Siberia (Terrestrial Carbon Observation System Siberia), and Urban Fluxnet. We appreciate the financial support for the eddy covariance data. Publisher Copyright: {\textcopyright} 2023 John Wiley & Sons Ltd.",
year = "2023",
month = sep,
doi = "10.1111/gcb.16842",
language = "English (US)",
volume = "29",
pages = "4750--4757",
journal = "Global change biology",
issn = "1354-1013",
publisher = "Wiley-Blackwell",
number = "17",
}