Global land system maps at 1 km resolution for 1.5 °C climate

Climate pledges are a key pathway for achieving temperature control but also exert profound cascading effects on the global Earth system. Evaluating such cascading effects often requires land change forecast products. However, current forecast products are all based on shared socioeconomic pathways (SSPs) and representative concentration pathways (RCPs). We proposed a comprehensive approach to generating 2100 land system maps under the 1.5 °C climate scenario and the baseline scenario by harmonizing the Global Change Analysis Model (GCAM), Globeland30, and the Land-N2N model. The maps exhibit a spatial resolution of 1 km and consist of 30 land system types, reflecting local high, medium, and low densities of land cover types. Additionally, we evaluated the Land-N2N using the kappa coefficient and figure of merit (FoM). The average kappa coefficient and FoM values across all the basins were 83.14% and 8.48%, respectively, demonstrating the reliability of the Land-N2N model in simulating land system changes. The dataset provides finer resolution quantitative support for global climate change mitigation and essential data for related research.

Authors

Institutions

Publication Details

Journal
Scientific Data
Published
2025-04-22
DOI
https://doi.org/10.1038/s41597-025-04991-0
Citations
4
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
4.42

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Global land system maps at 1 km resolution for 1.5 °C climate

Sijing Ye, Delin Fang, Yang Ou, Haewon McJeon et al.
4 citations
Scientific Data
Climate variability and models
4.42
article

Global land system maps at 1 km resolution for 1.5 °C climate

Sijing Ye, Delin Fang, Yang Ou, Haewon McJeon, Yifan Gao, Peichao Gao, Li Chen, Yuanhui Wang, Changqing Song, Jiaying Lv
article en
4 citations

Abstract

Climate pledges are a key pathway for achieving temperature control but also exert profound cascading effects on the global Earth system. Evaluating such cascading effects often requires land change forecast products. However, current forecast products are all based on shared socioeconomic pathways (SSPs) and representative concentration pathways (RCPs). We proposed a comprehensive approach to generating 2100 land system maps under the 1.5 °C climate scenario and the baseline scenario by harmonizing the Global Change Analysis Model (GCAM), Globeland30, and the Land-N2N model. The maps exhibit a spatial resolution of 1 km and consist of 30 land system types, reflecting local high, medium, and low densities of land cover types. Additionally, we evaluated the Land-N2N using the kappa coefficient and figure of merit (FoM). The average kappa coefficient and FoM values across all the basins were 83.14% and 8.48%, respectively, demonstrating the reliability of the Land-N2N model in simulating land system changes. The dataset provides finer resolution quantitative support for global climate change mitigation and essential data for related research.

Scientific DataVol. 12(1)
Korea Advanced Institute of Science and Technology (KR), Peking University (CN), Beijing Normal University (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 6%
Climate variability and models
4.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.