Warming Diminishes the Day–Night Discrepancy in the Apparent Temperature Sensitivity of Ecosystem Respiration

Understanding the sensitivity of ecosystem respiration (ER) to increasing temperature is crucial to predict how the terrestrial carbon sink responds to a warming climate. The temperature sensitivity of ER may vary on a diurnal basis but is poorly understood due to the paucity of observational sites...

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Main Authors: Nan Li, Guiyao Zhou, Mayank Krishna, Kaiyan Zhai, Junjiong Shao, Ruiqiang Liu, Xuhui Zhou
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Plants
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Online Access:https://www.mdpi.com/2223-7747/13/23/3321
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author Nan Li
Guiyao Zhou
Mayank Krishna
Kaiyan Zhai
Junjiong Shao
Ruiqiang Liu
Xuhui Zhou
author_facet Nan Li
Guiyao Zhou
Mayank Krishna
Kaiyan Zhai
Junjiong Shao
Ruiqiang Liu
Xuhui Zhou
author_sort Nan Li
collection DOAJ
description Understanding the sensitivity of ecosystem respiration (ER) to increasing temperature is crucial to predict how the terrestrial carbon sink responds to a warming climate. The temperature sensitivity of ER may vary on a diurnal basis but is poorly understood due to the paucity of observational sites documenting real ER during daytime at a global scale. Here, we used an improved flux partitioning approach to estimate the apparent temperature sensitivity of ER during the daytime (E<sub>0,day</sub>) and nighttime (E<sub>0,night</sub>) derived from multiyear observations of 189 FLUXNET sites. Our results demonstrated that E<sub>0,night</sub> is significantly higher than E<sub>0,day</sub> across all biomes, with significant seasonal variations in the day–night discrepancy in the temperature sensitivity of ER (ΔE<sub>0</sub> = E<sub>0,night</sub>/E<sub>0,day</sub>) except for evergreen broadleaf forest and savannas. Such seasonal variations in ΔE<sub>0</sub> mainly result from the effect of temperature and the seasonal amplitude of NDVI. We predict that future warming will decrease ΔE<sub>0</sub> due to the reduced E<sub>0,night</sub> by the end of the century in most regions. Moreover, we further find that disregarding the ΔE<sub>0</sub> leads to an overestimation of annual ER by 10~80% globally. Thus, our study highlights that the divergent temperature dependencies between day- and nighttime ER should be incorporated into Earth system models to improve predictions of carbon–climate change feedback under future warming scenarios.
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spelling doaj-art-e9af4a19ed9d4609bb55ca23f186ebfd2024-12-13T16:29:57ZengMDPI AGPlants2223-77472024-11-011323332110.3390/plants13233321Warming Diminishes the Day–Night Discrepancy in the Apparent Temperature Sensitivity of Ecosystem RespirationNan Li0Guiyao Zhou1Mayank Krishna2Kaiyan Zhai3Junjiong Shao4Ruiqiang Liu5Xuhui Zhou6Northeast Asia Ecosystem Carbon Sink Research Center (NACC), Key Laboratory of Sustainable Forest Ecosystem Management, Ministry of Education, School of Ecology, Northeast Forestry University, Harbin 150040, ChinaLaboratorio de Biodiversidad y Funcionamiento Ecosistémico, Instituto de Recursos Naturales y Agrobiología de Sevilla (IRNAS), Consejo Superior de Investigaciones Científicas (CSIC), 41012 Sevilla, SpainLaboratorio de Biodiversidad y Funcionamiento Ecosistémico, Instituto de Recursos Naturales y Agrobiología de Sevilla (IRNAS), Consejo Superior de Investigaciones Científicas (CSIC), 41012 Sevilla, SpainLaboratorio de Biodiversidad y Funcionamiento Ecosistémico, Instituto de Recursos Naturales y Agrobiología de Sevilla (IRNAS), Consejo Superior de Investigaciones Científicas (CSIC), 41012 Sevilla, SpainCollege of Forestry and Biotechnology, Zhejiang A&F University, Hangzhou 311300, ChinaNortheast Asia Ecosystem Carbon Sink Research Center (NACC), Key Laboratory of Sustainable Forest Ecosystem Management, Ministry of Education, School of Ecology, Northeast Forestry University, Harbin 150040, ChinaNortheast Asia Ecosystem Carbon Sink Research Center (NACC), Key Laboratory of Sustainable Forest Ecosystem Management, Ministry of Education, School of Ecology, Northeast Forestry University, Harbin 150040, ChinaUnderstanding the sensitivity of ecosystem respiration (ER) to increasing temperature is crucial to predict how the terrestrial carbon sink responds to a warming climate. The temperature sensitivity of ER may vary on a diurnal basis but is poorly understood due to the paucity of observational sites documenting real ER during daytime at a global scale. Here, we used an improved flux partitioning approach to estimate the apparent temperature sensitivity of ER during the daytime (E<sub>0,day</sub>) and nighttime (E<sub>0,night</sub>) derived from multiyear observations of 189 FLUXNET sites. Our results demonstrated that E<sub>0,night</sub> is significantly higher than E<sub>0,day</sub> across all biomes, with significant seasonal variations in the day–night discrepancy in the temperature sensitivity of ER (ΔE<sub>0</sub> = E<sub>0,night</sub>/E<sub>0,day</sub>) except for evergreen broadleaf forest and savannas. Such seasonal variations in ΔE<sub>0</sub> mainly result from the effect of temperature and the seasonal amplitude of NDVI. We predict that future warming will decrease ΔE<sub>0</sub> due to the reduced E<sub>0,night</sub> by the end of the century in most regions. Moreover, we further find that disregarding the ΔE<sub>0</sub> leads to an overestimation of annual ER by 10~80% globally. Thus, our study highlights that the divergent temperature dependencies between day- and nighttime ER should be incorporated into Earth system models to improve predictions of carbon–climate change feedback under future warming scenarios.https://www.mdpi.com/2223-7747/13/23/3321ecosystem respirationtemperature sensitivitydiel variationeddy covarianceFLUXNET
spellingShingle Nan Li
Guiyao Zhou
Mayank Krishna
Kaiyan Zhai
Junjiong Shao
Ruiqiang Liu
Xuhui Zhou
Warming Diminishes the Day–Night Discrepancy in the Apparent Temperature Sensitivity of Ecosystem Respiration
Plants
ecosystem respiration
temperature sensitivity
diel variation
eddy covariance
FLUXNET
title Warming Diminishes the Day–Night Discrepancy in the Apparent Temperature Sensitivity of Ecosystem Respiration
title_full Warming Diminishes the Day–Night Discrepancy in the Apparent Temperature Sensitivity of Ecosystem Respiration
title_fullStr Warming Diminishes the Day–Night Discrepancy in the Apparent Temperature Sensitivity of Ecosystem Respiration
title_full_unstemmed Warming Diminishes the Day–Night Discrepancy in the Apparent Temperature Sensitivity of Ecosystem Respiration
title_short Warming Diminishes the Day–Night Discrepancy in the Apparent Temperature Sensitivity of Ecosystem Respiration
title_sort warming diminishes the day night discrepancy in the apparent temperature sensitivity of ecosystem respiration
topic ecosystem respiration
temperature sensitivity
diel variation
eddy covariance
FLUXNET
url https://www.mdpi.com/2223-7747/13/23/3321
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