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1000 Titel
  • Elevated atmospheric CO2 concentration and vegetation structural changes contributed to gross primary productivity increase more than climate and forest cover changes in subtropical forests of China
1000 Autor/in
  1. Chen, Tao |
  2. Meunier, Félicien |
  3. Peaucelle, Marc |
  4. Tang, Guoping |
  5. Yuan, Ye |
  6. Verbeeck, Hans |
1000 Verlag
  • Copernicus Publications
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-05-07
1000 Erschienen in
1000 Quellenangabe
  • 21(9):2253-2272
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.5194/bg-21-2253-2024 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:p>Abstract. The subtropical forests of China play a pivotal role in the global carbon cycle and in regulating the global climate. Quantifying the individual and combined effects of forest cover change (FCC), vegetation structural change (e.g. leaf area index (LAI)), CO2 fertilisation, and climate change (CC) on the annual gross primary productivity (GPP) dynamics of different subtropical forest types are essential for mitigating carbon emissions and predicting future climate changes, but these impacts remain unclear. In this study, we used a processed-based model to comprehensively investigate the impacts of these factors on GPP variations with a series of model experiments in China's subtropical forests from 2001 to 2018. Simulated GPP showed a significant increasing trend (20.67 gCm-2yr-1, p&lt;0.001) under the interaction effects of FCC, LAI change, rising CO2, and CC. The CO2 fertilisation (6.84 gCm-2yr-1, p&lt;0.001) and LAI change (3.79 gCm-2yr-1, p=0.004) were the two dominant drivers of total subtropical forest GPP increase, followed by the effects of FCC (0.52 gCm-2yr-1, p&lt;0.001) and CC (0.92 gCm-2yr-1, p=0.080). We observed different responses to drivers depending on forest types. The evergreen broad-leaved forests showed the maximum carbon sequestration rate due to the positive effects of all drivers. Both the FCC (0.19 gCm-2yr-1, p&lt;0.05) and CC (1.22 gCm-2yr-1, p&lt;0.05) significantly decreased evergreen needle-leaved forest GPP, while their negative effects were almost offset by the positive impact of LAI changes. Our results indicated that LAI outweighed FCC in promoting GPP, which is an essential driver that needs to be accounted for in studies and ecological and management programmes. Overall, our study offers a novel perspective on different drivers of subtropical forest GPP changes and provides valuable information for policy makers to better manage subtropical forests to mitigate climate change risks. </jats:p>
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/Q2hlbiwgVGFv|https://frl.publisso.de/adhoc/uri/TWV1bmllciwgRsOpbGljaWVu|https://frl.publisso.de/adhoc/uri/UGVhdWNlbGxlLCBNYXJj|https://frl.publisso.de/adhoc/uri/VGFuZywgR3VvcGluZw==|https://frl.publisso.de/adhoc/uri/WXVhbiwgWWU=|https://frl.publisso.de/adhoc/uri/VmVyYmVlY2ssIEhhbnM=
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1000 Label
1000 Förderer
  1. National Natural Science Foundation of China |
  2. China Scholarship Council |
  3. Fonds Wetenschappelijk Onderzoek |
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1000 Förderprogramm
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1000 Dateien
1000 Förderung
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    1000 Förderer National Natural Science Foundation of China |
    1000 Förderprogramm -
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer China Scholarship Council |
    1000 Förderprogramm -
    1000 Fördernummer -
  3. 1000 joinedFunding-child
    1000 Förderer Fonds Wetenschappelijk Onderzoek |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 @id frl:6480267.rdf
1000 Erstellt am 2024-05-23T13:22:42.122+0200
1000 Erstellt von 322
1000 beschreibt frl:6480267
1000 Zuletzt bearbeitet Mon May 27 14:04:48 CEST 2024
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