Projected Habitat Contraction for Camellia japonica in China Under Climate Change

56 occurrence records of Camellia japonica were used in a MaxEnt model to project habitat suitability under SSP245 and SSP585 scenarios for the 2050s and 2070s. The model showed high predictive accuracy with an AUC of 0.958, and forecasts severe habitat contractions of up to 90.9% by the 2070s. Authored by Rong Hu and shared under a CC-BY-4.0 license, this dataset was last updated in May 2026.

Use Cases

• Assess climate change vulnerability for Camellia japonica based on projected habitat contraction percentages.
• Identify priority conservation areas in eastern coastal China based on modeled highly suitable habitats.
• Validate species distribution models using the reported high AUC score of 0.958.
• Compare the impact of different climate scenarios (SSP245 vs. SSP585) on species range shifts.

Strengths

• Model validation is strong, with a reported AUC score of 0.958.
• Projections are provided for two distinct future climate scenarios (SSP245 and SSP585) and two time periods (2050s, 2070s).
• Occurrence data was carefully screened and spatially thinned, comprising 56 records.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 14.6 KB, indicating limited scope.

Provenance

Source

Rong Hu via figshare.

Collection Method

Maximum Entropy (MaxEnt) modeling using 56 occurrence records and 10 environmental variables.

Time Range

Projections for the 2050s and 2070s.

Freshness

Last updated 2026-05-18 05:41:13; freshness should be verified.

Geography

China, with highly suitable habitats concentrated in eastern coastal regions.