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Patterns and drivers of the belowground bud bank in alpine grasslands on the Qinghai-Tibet Plateau.
Li, Wencheng; Huang, Aiping; Zhou, Tiancai; Liu, Miao; Ma, Sujie; Zhao, Ningning; Wang, Xiangtao; Sun, Jian.
Afiliación
  • Li W; Key Laboratory of Alpine Vegetation Ecological Security, Tibet Agriculture and Animal Husbandry University, Nyingchi,  China.
  • Huang A; State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing,  China.
  • Zhou T; College of Resources and Environment, Tibet Agriculture and Animal Husbandry University, Nyingchi,  China.
  • Liu M; Qiangtang Alpine Grassland Ecosystem Research Station (jointly built with Lanzhou University), Tibet Agricultural and Animal Husbandry University, Nyingchi,  China.
  • Ma S; State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing,  China.
  • Zhao N; College of Grassland Science and Technology, China Agricultural University, Beijing,  China.
  • Wang X; State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing,  China.
  • Sun J; College of Grassland Science and Technology, China Agricultural University, Beijing,  China.
Front Plant Sci ; 13: 1095864, 2022.
Article en En | MEDLINE | ID: mdl-36743557
Introduction: In grassland ecosystems dominated by asexual plants, the maintenance, renewal, and resistance of plant populations to disturbance are more dependent on the belowground bud bank (BBB). However, the response of the BBB to environmental factors in the alpine grassland of the Qinghai-Tibet Plateau (QTP) is still unknown. Methods: Therefore, a transect survey was conducted to measure the size and scale of BBB and 21 factors in the alpine grassland of the QTP. In addition, the critical driving factors of BBB were screened by boost regression tree analysis, and a structural equation model (SEM) was employed to express the path coefficients of the key factors on the BBB size. Results: The results showed that BBB size had no significant geographical pattern in the QTP, and the BBB size was mainly accounted for by soil leucine aminopeptidase (LAP, 17.32%), followed by Margalef and Shannon -Wiener indices of plants (12.63% and 9.24%, respectively), and precipitation (9.23%). SEM further indicated significant positive effects of plant diversity (scored at 0.296) and precipitation (scored at 0.180) on BBB size, and a significant negative effect of LAP (scored at 0.280) on BBB size. Discussion: Generally, the findings allow for better understanding of the regulated mechanisms of BBB size and the importance of the role of bud bank in the restoration of the grassland ecosystem.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Plant Sci Año: 2022 Tipo del documento: Article Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Plant Sci Año: 2022 Tipo del documento: Article Pais de publicación: Suiza