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                <identifier>oai:data.mendeley.com/9nbspmrm4n.1</identifier>
                <datestamp>2026-06-15T19:48:13Z</datestamp>
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    <dc:creator>徐, 靖杭</dc:creator>
    <dc:title>Restoration management strategies promote both plant biomass recovery and CO₂ absorption in the degraded grasslands of Southern China</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>Research Hypotheses and Objectives
This study evaluated three distinct grassland restoration strategies (reseeding, chemical fertilization, and Burkholderia sp. biofertilization) under two core hypotheses: (1) all three management practices can effectively restore plant productivity and biomass in degraded southern China grasslands; and (2) these strategies can simultaneously enhance the $CO_2$ absorption and carbon sequestration capacity of the degraded ecosystem.
The dataset was gathered from a rigorous 3-year field experiment (2021–2023) established at an alpine artificial grassland platform in Zhaotong, Yunnan Province, China, characterized by highly weathered and strongly leached yellow-brown soils. The data encompasses two primary matrices: (1) plant community biomass profiles, including above-ground biomass (AGB), below-ground biomass (BGB, 0–20 cm depth), and total biomass (TB) collected via destructive harvesting; and (2) growing-season ecosystem CO2 fluxes, featuring net ecosystem exchange (NEE), ecosystem respiration (ER), and gross primary productivity (GPP) monitored in situ using a transparent assimilation chamber coupled with the LI-8100A Automated Soil CO2 Flux System. Synchronous soil chemical properties were also analyzed using standard segmented flow analysis and TOC analyzers to serve as potential drivers.</dc:description>
    <dc:subject>Ecology</dc:subject>
    <dc:subject>Soil</dc:subject>
    <dc:subject>Grassland Ecosystem</dc:subject>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/9nbspmrm4n.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/9nbspmrm4n.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
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    <dc:date>2026-06-15T19:48:13Z</dc:date>
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