Počet záznamů: 1  

The global biogeography of tree leaf form and habit

  1. 1.
    SYSNO ASEP0580047
    Druh ASEPJ - Článek v odborném periodiku
    Zařazení RIVJ - Článek v odborném periodiku
    Poddruh JČlánek ve WOS
    NázevThe global biogeography of tree leaf form and habit
    Tvůrce(i) Ma, H. (CH)
    Crowther, T. W. (CH)
    Mo, L. (CH)
    Maynard, D.S. (CH)
    Renner, S.S. (US)
    van den Hoogen, J. (CH)
    Zou, Y. (US)
    Liang, J. (US)
    de-Miguel, S. (ES)
    Nabuurs, G. (NL)
    Reich, P. B. (US)
    Niinemets, Ü. (EE)
    Abegg, M. (CH)
    Adou Yao, C.Y. (CI)
    Alberti, G. (IT)
    Zambrano, A. A. (US)
    Vilchez Alvarado, B. (CR)
    Alvarez-Davila, E. (CO)
    Alvarez-Loayza, P. (US)
    Alves, L. F. (US)
    Ammer, C. (DE)
    Anton-Fernandez, C. (NO)
    Araujo-Murakami, A. (BO)
    Arroyo, L. (BO)
    Avitabile, V. (IT)
    Aymard, G. A. (CO)
    Baker, T. R. (GB)
    Balazy, R. (PL)
    Banki, O. (NL)
    Barroso, J. G. (BR)
    Bastian, M.L. (US)
    Bastin, J. (BE)
    Birigazzi, L. (IT)
    Birnbaum, P. (FR)
    Bitariho, R. (UG)
    Boeckx, P. (BE)
    Bongers, F. (NL)
    Bouriaud, O. (RO)
    Brancalion, P. H. S. (BR)
    Brandl, S. (DE)
    Brearley, F. Q. (GB)
    Brienen, R. (GB)
    Broadbent, E. N. (US)
    Bruelheide, H. (DE)
    Bussotti, F. (IT)
    Gatti, R. C. (RU)
    Cesar, R.G. (BR)
    Cesljar, G. (RS)
    Chazdon, R. (AU)
    Chen, H. Y. H. (CN)
    Cienciala, Emil (UEK-B) SAI, ORCID, RID
    Doležal, Jiří (BU-J) RID, ORCID
    Fayle, Tom Maurice (BC-A) RID, ORCID
    Celkový počet autorů232
    Zdroj.dok.Nature Plants - ISSN 2055-026X
    Roč. 9, č. 11 (2023), s. 1795-1809
    Poč.str.14 s.
    Jazyk dok.eng - angličtina
    Země vyd.GB - Velká Británie
    Klíč. slovaclimate-change ; evergreen ; vegetation ; forests ; availability ; worlds ; life ; co2 ; deciduousness ; convergence
    Vědní obor RIVEF - Botanika
    Obor OECDPlant sciences, botany
    Vědní obor RIV – spolupráceBotanický ústav - Botanika
    Biologické centrum (od r. 2006) - Botanika
    CEPGA21-26883S GA ČR - Grantová agentura ČR
    Výzkumná infrastrukturaCzeCOS IV - 90248 - Ústav výzkumu globální změny AV ČR, v. v. i.
    Způsob publikováníOpen access
    Institucionální podporaUEK-B - RVO:86652079 ; BU-J - RVO:67985939 ; BC-A - RVO:60077344
    UT WOS001092001600001
    EID SCOPUS85174580524
    DOI10.1038/s41477-023-01543-5
    AnotaceUnderstanding what controls global leaf type variation in trees is crucial for comprehending their role in terrestrial ecosystems, including carbon, water and nutrient dynamics. Yet our understanding of the factors influencing forest leaf types remains incomplete, leaving us uncertain about the global proportions of needle-leaved, broadleaved, evergreen and deciduous trees. To address these gaps, we conducted a global, ground-sourced assessment of forest leaf-type variation by integrating forest inventory data with comprehensive leaf form (broadleaf vs needle-leaf) and habit (evergreen vs deciduous) records. We found that global variation in leaf habit is primarily driven by isothermality and soil characteristics, while leaf form is predominantly driven by temperature. Given these relationships, we estimate that 38% of global tree individuals are needle-leaved evergreen, 29% are broadleaved evergreen, 27% are broadleaved deciduous and 5% are needle-leaved deciduous. The aboveground biomass distribution among these tree types is approximately 21% (126.4Gt), 54% (335.7Gt), 22% (136.2Gt) and 3% (18.7Gt), respectively. We further project that, depending on future emissions pathways, 17-34% of forested areas will experience climate conditions by the end of the century that currently support a different forest type, highlighting the intensification of climatic stress on existing forests. By quantifying the distribution of tree leaf types and their corresponding biomass, and identifying regions where climate change will exert greatest pressure on current leaf types, our results can help improve predictions of future terrestrial ecosystem functioning and carbon cycling. Integrating inventory data with machine learning models reveals the global composition of tree types-needle-leaved evergreen individuals dominate, followed by broadleaved evergreen and deciduous trees-and climate change risks.
    PracovištěÚstav výzkumu globální změny
    KontaktNikola Šviková, svikova.n@czechglobe.cz, Tel.: 511 192 268
    Rok sběru2024
    Elektronická adresahttps://www.nature.com/articles/s41477-023-01543-5
Počet záznamů: 1  

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