Evidence map›Paper›PMID 35222964›Full record

ArticleEcology and evolution2022

Stability response of alpine meadow communities to temperature and precipitation changes on the Northern Tibetan Plateau.

Chunyu Wang, Junbang Wang, Fawei Zhang, Yongsheng Yang, Fanglin Luo, Yingnian Li, Jiexia Li

Abstract read
In one paragraph

Article in Ecology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Chunyu WangNorthwest Institute of Plateau Biology Chinese Academy of Science Xining China.ORCID https://orcid.org/0000-0002-9960-5530
Junbang WangKey Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research National Ecosystem Science Data Center Chinese Academy of Sciences Beijing China.
Fawei ZhangNorthwest Institute of Plateau Biology Chinese Academy of Science Xining China.
Yongsheng YangNorthwest Institute of Plateau Biology Chinese Academy of Science Xining China.
Fanglin LuoNorthwest Institute of Plateau Biology Chinese Academy of Science Xining China.
Yingnian LiNorthwest Institute of Plateau Biology Chinese Academy of Science Xining China.
Jiexia LiNorthwest Institute of Plateau Biology Chinese Academy of Science Xining China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomass temporal stability plays a key role in maintaining sustainable ecosystem functions and services of grasslands, and climate change has exerted a profound impact on plant biomass. However, it remains unclear how the community biomass stability in alpine meadows responds to changes in some climate factors (e.g., temperature and precipitation). Long-term field aboveground biomass monitoring was conducted in four alpine meadows (Haiyan [HY], Henan [HN], Gande [GD], and Qumalai [QML]) on the Qinghai-Tibet Plateau. We found that climate factors and ecological factors together affected the community biomass stability and only the stability of HY had a significant decrease over the study period. The community biomass stability at each site was positively correlated with both the stability of the dominant functional group and functional groups asynchrony. The effect of dominant functional groups on community stability decreased with the increase of the effect of functional groups asynchrony on community stability and there may be a 'trade-off' relationship between the effects of these two factors on community stability. Climatic factors directly or indirectly affect community biomass stability by influencing the stability of the dominant functional group or functional groups asynchrony. Air temperature and precipitation indirectly affected the community stability of HY and HN, but air temperature in the growing season and nongrowing season had direct negative and direct positive effects on the community stability of GD and QML, respectively. The underlying mechanisms varied between community composition and local climate conditions. Our findings highlighted the role of dominant functional group and functional groups asynchrony in maintaining community biomass stability in alpine meadows and we highlighted the importance of the environmental context when exploring the stability influence mechanism. Studies of community stability in alpine meadows along with different precipitation and temperature gradients are needed to improve our comprehensive understanding of the mechanisms controlling alpine meadow stability.

Indexed as

alpine meadowbiomass temporal stabilitydominant functional groupfunctional groups asynchronytemperature and precipitation

Identifiers

PMID35222964
PMCPMC8848471

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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.