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Exploring the driving factors of bryophyte assemblage distribution patterns in Tibet.

Authors :
Gu, Jiqi
Song, Xiaotong
Ye, Yanhui
Shao, Xiaohong
Liao, Yujia
Shao, Xiaoming
Michalska-Smith, Matthew
Venkatanarayanan, Naven Narayanan
Source :
Frontiers in Ecology & Evolution; 2024, p1-11, 11p
Publication Year :
2024

Abstract

Plant communities are complex systems shaped by a combination of deterministic and stochastic ecological processes. Bryophytes are an essential component of plant diversity in natural ecosystems, yet our understanding of their community ecology needs to catch up to that of other organisms. The unique geological history, alpine climatic conditions, and high habitat heterogeneity of Tibet provide suitable areas for bryophytes to survive in the alpine regions. Therefore, field surveys were conducted across 184 plots in forest, thicket, and herbaceous vegetation of Tibet to investigate the role of deterministic processes such as biological interactions and abiotic effects, along with stochastic processes, in shaping the distribution of bryophyte assemblages. We employed various analytical methods, including mixed effects models, partial least squares path modeling, null model analysis, and neutral community models. The study showed that bryophyte richness was highest in forests. Bryophyte assemblages showed greater segregation in forest and thicket environments compared to herbaceous vegetation. As the influence of stochastic processes increased, that of deterministic processes decreased from forests through thickets to herbaceous vegetation. Deterministic processes were the main driving forces for the bryophyte assemblage pattern. Soil properties and climatic factors, particularly pH played a key role in determining bryophyte patterns in Tibet. This study has deepened our comprehension of how deterministic and stochastic ecological processes interplay and shape bryophyte distribution patterns in Tibet. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2296701X
Database :
Complementary Index
Journal :
Frontiers in Ecology & Evolution
Publication Type :
Academic Journal
Accession number :
179269584
Full Text :
https://doi.org/10.3389/fevo.2024.1376263