# 1 km HILDA + based land cover/use map time series of China under 1.5 °C climate of this century

**Authors:** Yifan Gao, Xian Feng, Changqing Song, Yuanhui Wang, Sijing Ye, Min Zhao, Delin Fang, Peichao Gao

PMC · DOI: 10.1038/s41597-025-06411-9 · Scientific Data · 2025-12-11

## TL;DR

This study creates detailed land cover/use maps for China under a 1.5 °C climate scenario, using accurate historical data and future projections to guide climate action.

## Contribution

The novel contribution is the integration of HILDA+ with climate models to produce high-resolution land cover/use maps for China under a 1.5 °C target.

## Key findings

- Land cover/use maps were generated at 1 km resolution from 2020 to 2100 in 10-year intervals.
- The maps are based on a harmonized baseline and a scenario assuming full adherence to NDCs.
- The results support land management strategies for climate mitigation in China.

## Abstract

Limiting the global temperature rise in this century to 1.5 °C above preindustrial levels has become a critical challenge. One key pathway involves actions in the land sector. Forecasts of land cover/use maps can provide valuable insights for guiding such actions, but the reliability of maps strongly depends on the accuracy of the baseline land cover/use map. In this study, we selected an accurate land cover/use map—HIstoric Land Dynamics Assessment+ (HILDA+), harmonized with multiple historical land cover/use maps—as the baseline land cover/use map. Additionally, we selected a future scenario that aims to achieve the 1.5 °C target and takes into account nationally determined contributions (NDCs). This scenario assumes that all parties would adhere to their submitted NDCs. We forecasted land cover/use maps at a spatial resolution of 1 km from 2020 to 2100 at a 10-year interval in China by integrating the Global Change Analysis Model, the Land-N2N model, and HILDA + land cover/use maps. These maps provide scientific guidance to support land management in addressing climate crises.

## Full-text entities

- **Diseases:** NDCs (MESH:D003643)
- **Chemicals:** carbon (MESH:D002244)

## Full text

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## Figures

8 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12830754/full.md

## References

11 references — full list in the complete paper: https://tomesphere.com/paper/PMC12830754/full.md

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Source: https://tomesphere.com/paper/PMC12830754