ORIGINAL RESEARCH article
Front. Plant Sci.
Sec. Functional Plant Ecology
Volume 16 - 2025 | doi: 10.3389/fpls.2025.1582124
Disentangling the relationship between environmental drivers and productivity in subalpine wet grasslands
Provisionally accepted- 1The University of Melbourne, Parkville, Australia
- 2Institute of Highland Forest Science, Chinese Academy of Forestry, Kunming, China
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Analyzing the productivity of subalpine (2000-4000m) wet grasslands and their responses to environmental factors is essential for understanding the carbon cycle of terrestrial ecosystems, especially in the context of global climate change. We applied destructive sampling techniques, optimized grassland investigation, and employed multivariate modeling to investigate how different environmental variables influence grassland biomass. An 80-plot field-based dataset was established in a subalpine wet grassland. Wet grassland had the highest biomass among the six grassland types. Our findings reveal that plant biomass was the highest at 3400 to 3500 m elevation. Belowground and dominant species biomass accounted for 85% of the total productivity of subalpine wet grasslands. Vegetation-related variables, such as species richness, coverage , and root/shoot ratio, were the primary determinants of aboveground biomass, whereas soil properties were key regulators of belowground biomass. Although direct and indirect effects of landform and climatic factors influenced total biomass, the patterns of total and belowground biomass were consistent.Additionally, direct and indirect effects of landform and climate characteristics influenced total biomass. The results underscore the significant positive impact of vegetation cover, root-to-shoot ratio, and soil conditions on grassland productivity. Notably, soil organic carbon, water content, and the nitrogen-to-phosphorus ratio affected belowground biomass. These insights enhance our understanding of the intricate interactions between climate, soil, landform, and plant communities in influencing grassland biomass and highlight the importance of preserving plant diversity and maintaining optimal soil conditions in subalpine wet grasslands. lead to rich and diverse grassland resources. The grassland area is 8084 km 2 (72.09% of the study area), and the major grassland types include alpine meadows and alpine semi-swampy areas. Dominant plant species include Blysmus sinocompressus, Carex setschwanensis, Carex enervis, Carex tibetikobresia, Elymus nutans, Carex moorcroftii, and Carex muliensis.
Keywords: Biodiversity, biomass, Multivariate modeling, Structural Equation Modeling, Plant Ecology, vegetation
Received: 24 Feb 2025; Accepted: 12 May 2025.
Copyright: © 2025 Zhang, Shu, Liu, Wang, Wu and Liao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Shuqiao Zhang, The University of Melbourne, Parkville, Australia
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