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Understanding the long-term dynamics of vegetation since 1953 in high-mountain regions

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DataCite Commons2025-06-01 更新2025-04-10 收录
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https://datadryad.org/dataset/doi:10.5061/dryad.hdr7sqvtk
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资源简介:
Alpine ecosystems, highly sensitive to climate change, are experiencing shifts in species ranges and community structure. These changes are driven by a complex interplay of climatic and environmental factors, land use changes, geomorphological dynamics, and species interactions, which can often lead to contrasted and sometimes unexpected dynamics. Historical records provide a valuable opportunity to capture these complexities by revealing long-term changes, opening a gateway to hypothesise about the key underlying processes. We investigated changes in the floristic composition of subalpine to nival vegetation communities by resurveying a period of 70 years. To understand vegetation patterns, we (i) resampled vegetation at plot level and remapped the areas, (ii) analysed the role of driving climate, environmental, and land use factors on vegetation distribution and vascular plant species richness, and (iii) modelled plant-plant interactions from community data. The results reveal that vegetation cover patterns were strongly influenced by local climate and soil properties. The species richness is also influenced by the livestock density and the flat morphology. It should be noted that climate change caused wetland habitats to become drier and accelerated secondary succession through upward migration and range-infilling processes. Furthermore, a trend towards eutrophication was observed. The results suggested that certain plant communities, particularly those found in snowbeds, were more vulnerable to environmental changes that have occurred over the past 70 years. Synthesis: This study highlighted the complexity of vegetation dynamics. In addition to thermophilisation and aridisation, changes in land use affect species composition, species richness, and vegetation cover. Substrate conditions also play an important role.
提供机构:
Dryad
创建时间:
2024-12-09
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