Evidence map›Paper›PMID 38848369›Full record

ArticleScience advances2024

Consistent time allocation fraction to vegetation green-up versus senescence across northern ecosystems despite recent climate change.

Fandong Meng, Andrew J Felton, Jiafu Mao, Nan Cong, William K Smith, Christian Körner, Zhongmin Hu, Songbai Hong, Jonathan Knott, Yanzi Yan and 6 more

Abstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Fandong MengState Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China.ORCID 0000-0001-6774-4758
Andrew J FeltonDepartment of Land Resources and Environmental Sciences, Montana State University, Bozeman, MT 59717, USA.ORCID 0000-0002-1533-6071
Jiafu MaoEnvironmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.ORCID 0000-0002-2050-7373
Nan CongKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.ORCID 0000-0001-8297-3751
William K SmithSchool of Natural Resources and the Environment, University of Arizona, Tucson, AZ 85719, USA.ORCID 0000-0002-5785-6489
Christian KörnerDepartment of Environmental Sciences, Botany, University of Basel, Basel, Switzerland.ORCID 0000-0001-7768-7638
Zhongmin HuKey Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, Hainan University, Haikou, Hainan 570228, China.ORCID 0000-0002-4801-5370
Songbai HongSchool of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, China.ORCID 0000-0002-0450-0817
Jonathan KnottUSDA Forest Service, Northern Research Station, Forest Inventory and Analysis Program, St. Paul, MN 55108, USA.ORCID 0000-0003-3856-8454
Yanzi YanSchool of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, China.ORCID 0000-0001-9215-6798
Bixi GuoState Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China.
Ying DengState Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, No. 20 Nanxincun, Xiangshan, Beijing 100093, China.ORCID 0000-0002-9651-0325
Stephen LeiszDepartment of Anthropology and Geography, Colorado State University, Fort Collins, CO 80523, USA.ORCID 0000-0002-0726-8996
Tsechoe DorjiState Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China.ORCID 0000-0003-3863-0748
Shiping WangState Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China.
Anping ChenDepartment of Biology and Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO 80523, USA.ORCID 0000-0003-2085-3863

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Climate ChangeEcosystemPlant DevelopmentPlant LeavesSeasons

Identifiers

PMID38848369
PMCPMC11160464

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.