Climate change increases carbon allocation to leaves in early leaf green-up

Meng, Fandong; Hong, Songbai; Wang, Jiawei; Chen, Anping; Zhang, Yao; Zhang, Yichen; Janssens, Ivan A.; Mao, Jiafu; Myneni, Ranga B.; Peñuelas, Josep; Piao, Shilong

doi:10.1111/ele.14205

Title: Climate change increases carbon allocation to leaves in early leaf green-up

Journal Article · 23 March 2023 · Ecology Letters

DOI: https://doi.org/10.1111/ele.14205 · OSTI ID:1965226

Meng, Fandong ^[1]; Hong, Songbai ^[2]; Wang, Jiawei ^[2];

^[3]; Zhang, Yao ^[2]; Zhang, Yichen ^[2]; Janssens, Ivan A. ^[4];

^[5]; Myneni, Ranga B. ^[6];

^[7];

^[8]

Chinese Academy of Sciences (CAS), Beijing (China)
Peking Univ., Beijing (China)
Colorado State Univ., Fort Collins, CO (United States)
Univ. of Antwerp (Belgium)
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Boston Univ., MA (United States)
Consejo Superior de Investigaciones Cientificas (CSIC), Barcelona, Catalonia (Spain); Centro de Investigación Ecológica y Aplicaciones Forestales (CREAF), Barcelona, Catalonia (Spain)
Chinese Academy of Sciences (CAS), Beijing (China); Peking Univ., Beijing (China)

Abstract Global greening, characterized by an increase in leaf area index (LAI), implies an increase in foliar carbon (C). Whether this increase in foliar C under climate change is due to higher photosynthesis or to higher allocation of C to leaves remains unknown. Here, we explored the trends in foliar C accumulation and allocation during leaf green‐up from 2000 to 2017 using satellite‐derived LAI and solar‐induced chlorophyll fluorescence (SIF) across the Northern Hemisphere. The accumulation of foliar C accelerated in the early green‐up period due to both increased photosynthesis and higher foliar C allocation driven by climate change. In the late stage of green‐up, however, we detected decreasing trends in foliar C accumulation and foliar C allocation. Such stage‐dependent trends in the accumulation and allocation of foliar C are not represented in current terrestrial biosphere models. Our results highlight that a better representation of C allocation should be incorporated into models.

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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Biological and Environmental Research (BER); National Natural Science Foundation of China (NSFC); Second Tibetan Plateau Scientific Expedition and Research (STEP) Program; USDOE

Grant/Contract Number:: AC05-00OR22725; 2019QZKK0405; 4000167205; TESSFA

OSTI ID:: 1965226

Alternate ID(s):: OSTI ID: 1971933

Journal Information:: Ecology Letters, Vol. 26, Issue 5; ISSN 1461-023X

Publisher:: WileyCopyright Statement

Country of Publication:: United States

Language:: English

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