Počet záznamů: 1
Improved global estimations of gross primary productivity of natural vegetation types by incorporating plant functional type
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SYSNO ASEP 0543249 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název Improved global estimations of gross primary productivity of natural vegetation types by incorporating plant functional type Tvůrce(i) Lin, S. (CN)
Li, J. (CN)
Liu, Q. (CN)
Gioli, B. (IT)
Paul-Limoges, E. (CH)
Buchmann, N. (DE)
Gharun, M. (CH)
Hörtnagl, L. (CH)
Foltýnová, Lenka (UEK-B) ORCID, SAI, RID
Dušek, Jiří (UEK-B) RID, SAI
Li, L. (CN)
Yuan, W. (CN)Celkový počet autorů 12 Číslo článku 102328 Zdroj.dok. International Journal of Applied Earth Observation and Geoinformation. - : Elsevier - ISSN 1569-8432
Roč. 100, AUG (2021)Poč.str. 14 s. Jazyk dok. eng - angličtina Země vyd. NL - Nizozemsko Klíč. slova light-use efficiency ; net primary production ; photosynthetic capacity ; terrestrial carbon ; water-stress ; model ; temperature ; gpp ; climate ; forest ; Terrestrial carbon cycle ; Carbon flux ; Plant trait ; Climatic zones Vědní obor RIV EH - Ekologie - společenstva Obor OECD Ecology CEP LO1415 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy LM2015061 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy Výzkumná infrastruktura CzeCOS III - 90123 - Ústav výzkumu globální změny AV ČR, v. v. i. Způsob publikování Open access Institucionální podpora UEK-B - RVO:86652079 UT WOS 000647797000002 EID SCOPUS 85120692569 DOI 10.1016/j.jag.2021.102328 Anotace Satellite-based light use efficiency (LUE) models are important tools for estimating regional and global vegetation gross primary productivity (GPP). However, all LUE models assume a constant value of maximum LUE at canopy scale (LUEmaxcanopy) over a given vegetation type. This assumption is not supported by observed plant traits regulating LUEmaxcanopy, which varies greatly even within the same ecosystem type. In this study, we developed an improved satellite data driven GPP model by identifying the potential maximal GPP (GPPPOT) and their dominant climate control factor in various plant functional types (PFT), which takes into account both plant trait and climatic control inter-dependence. We selected 161 sites from the FLUXNET2015 dataset with eddy covariance CO2 flux data and continuous meteorology to derive GPPPOT and their dominant climate control factor of vegetation growth for 42 natural PFTs. Results showed that (1) under the same phenology and incident photosynthetic active radiation, the maximal variance of GPPPOT is found in different PFTs of forests (10.9 g C m- 2 day-1) and in different climatic zones of grasslands (>10 g C m- 2 day-1), (2) intra-annual change of GPP in tropical and arid climate zones is mostly driven by vapor pressure deficit (VPD) changes, while temperature is the dominant climate control factor in temperate, boreal and polar climate zones, even under the same climate condition, physiological stress in photosynthesis is different across PFTs, (3) the model that takes into account the plant trait difference across PFTs had a higher agreement with flux tower-based GPP data (GPPflux) than the GPP products that omit PFT differences. Such agreement was highest for natural vegetation cover sites (R2 = 0.77, RMSE = 1.79 g C m- 2 day- 1). These results suggest that global scale GPP models should incorporate both plant traits and their dominant climate control factor variance in various PFT to reduce the uncertainties in terrestrial carbon assessments. Pracoviště Ústav výzkumu globální změny Kontakt Nikola Šviková, svikova.n@czechglobe.cz, Tel.: 511 192 268 Rok sběru 2022 Elektronická adresa https://www.sciencedirect.com/science/article/pii/S0303243421000350?via%3Dihub
Počet záznamů: 1