Impact of Climate Change on 50 Peatland Plant Species in Sichuan Province, China

50 prominent peatland plant species distributions were modeled for Sichuan Province, China, from 1981-2010 and projected for 2071-2100 under three climate scenarios. The dataset, authored by Zhengxuan Wei and shared on figshare, uses the MaxEnt model to link species presence with environmental variables like snow cover days and slope. It forecasts habitat changes and identifies key environmental drivers, with results indicating a general decrease in suitable habitats and species richness under future climate conditions.

Use Cases

• Modeling future habitat suitability for peatland plants based on projected climate scenarios (SSP1-2.6, SSP3-7.0, SSP5-8.5).
• Identifying key environmental drivers for species distribution based on variables like Snow Cover Days (SCD) and slope.
• Assessing biodiversity shifts and conservation gaps in peatland regions, particularly near plateau and basin boundaries.
• Prioritizing areas for protection network expansion based on modeled suitable and shrinking habitats.

Strengths

• Modeling covers a 30-year historical baseline (1981-2010) and projects 30-year future periods (2071-2100).
• Identifies specific, quantified key environmental variables (e.g., Snow Cover Days contributes 41.5%).
• Focuses on 50 prominent peatland plant species with a defined spatial pattern (northwest high, southeast low).
• Results are linked to a concrete conservation recommendation regarding unprotected areas.

Limitations

• The underlying data format and structure (e.g., column names, row count) are not described in the available metadata.
• Data is presented in a PDF report (1.9 MB), which may require extraction to be used for computational analysis.
• The dataset's spatial resolution and the exact nature of the modeled outputs (e.g., presence/absence, probability) are not specified.

Provenance

Source

Zhengxuan Wei via figshare.

Collection Method

Species distribution modeling using the MaxEnt model with environmental variables.

Time Range

Historical: 1981-2010; Future projections: 2071-2100.

Freshness

Last updated 2026-04-17 05:21:33.

Geography

Sichuan Province, China, with specific mention of Zoige County.