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Consistent time allocation fraction to vegetation green-up versus senescence across northern ecosystems despite recent climate change.
Meng, Fandong; Felton, Andrew J; Mao, Jiafu; Cong, Nan; Smith, William K; Körner, Christian; Hu, Zhongmin; Hong, Songbai; Knott, Jonathan; Yan, Yanzi; Guo, Bixi; Deng, Ying; Leisz, Stephen; Dorji, Tsechoe; Wang, Shiping; Chen, Anping.
Affiliation
  • Meng F; State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China.
  • Felton AJ; Department of Land Resources and Environmental Sciences, Montana State University, Bozeman, MT 59717, USA.
  • Mao J; Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.
  • Cong N; Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
  • Smith WK; School of Natural Resources and the Environment, University of Arizona, Tucson, AZ 85719, USA.
  • Körner C; Department of Environmental Sciences, Botany, University of Basel, Basel, Switzerland.
  • Hu Z; Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, Hainan University, Haikou, Hainan 570228, China.
  • Hong S; School of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, China.
  • Knott J; USDA Forest Service, Northern Research Station, Forest Inventory and Analysis Program, St. Paul, MN 55108, USA.
  • Yan Y; School of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, China.
  • Guo B; Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden.
  • Deng Y; State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China.
  • Leisz S; State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, No. 20 Nanxincun, Xiangshan, Beijing 100093, China.
  • Dorji T; Department of Anthropology and Geography, Colorado State University, Fort Collins, CO 80523, USA.
  • Wang S; College of Arts and Sciences, Vin University, Gia Lam, Hanoi, Vietnam.
  • Chen A; State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China.
Sci Adv ; 10(23): eadn2487, 2024 Jun 07.
Article in En | MEDLINE | ID: mdl-38848369
ABSTRACT
Extended growing season lengths under climatic warming suggest increased time for plant growth. However, research has focused on climatic impacts to the timing or duration of distinct phenological events. Comparatively little is known about impacts to the relative time allocation to distinct phenological events, for example, the proportion of time dedicated to leaf growth versus senescence. We use multiple satellite and ground-based observations to show that, despite recent climate change during 2001 to 2020, the ratio of time allocated to vegetation green-up over senescence has remained stable [1.27 (± 0.92)] across more than 83% of northern ecosystems. This stability is independent of changes in growing season lengths and is caused by widespread positive relationships among vegetation phenological events; longer vegetation green-up results in longer vegetation senescence. These empirical observations were also partly reproduced by 13 dynamic global vegetation models. Our work demonstrates an intrinsic biotic control to vegetation phenology that could explain the timing of vegetation senescence under climate change.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Climate Change / Ecosystem Language: En Journal: Sci Adv Year: 2024 Document type: Article Affiliation country: China Country of publication: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Climate Change / Ecosystem Language: En Journal: Sci Adv Year: 2024 Document type: Article Affiliation country: China Country of publication: Estados Unidos