Land system changes of terrestrial tipping elements on Earth under global climate pledges: 2000–2100 DOI Creative Commons

Jiaying Lv,

Yifan Gao, Changqing Song

et al.

Scientific Data, Journal Year: 2025, Volume and Issue: 12(1)

Published: Jan. 27, 2025

Abstract Tipping elements on Earth are components that undergo rapid and irreversible changes when climate change reaches a tipping point. They highly sensitive to variations serve as early warning signs of global change. Human activities, including pledges, significantly influence the state elements. Land external intuitive response change, making it essential identify shifts in land system. We produced 1-km system dataset for terrestrial years 2000, 2010, 2020, 2100 under pledges by integrating GCAM with modified version CLUMondo. Our includes 30 thematic categories, combining three density types ten cover types. The illustrates potential contrasting common SSP RCP scenarios. simulations demonstrate high accuracy, offering valuable insights into assessment impacts Earth.

Language: Английский

Land-N2N: An effective and efficient model for simulating the demand-driven changes in multifunctional lands DOI
Yifan Gao, Changqing Song, Zhifeng Liu

et al.

Environmental Modelling & Software, Journal Year: 2025, Volume and Issue: 185, P. 106318 - 106318

Published: Jan. 8, 2025

Language: Английский

Citations

4

Land system changes of terrestrial tipping elements on Earth under global climate pledges: 2000–2100 DOI Creative Commons

Jiaying Lv,

Yifan Gao, Changqing Song

et al.

Scientific Data, Journal Year: 2025, Volume and Issue: 12(1)

Published: Jan. 27, 2025

Abstract Tipping elements on Earth are components that undergo rapid and irreversible changes when climate change reaches a tipping point. They highly sensitive to variations serve as early warning signs of global change. Human activities, including pledges, significantly influence the state elements. Land external intuitive response change, making it essential identify shifts in land system. We produced 1-km system dataset for terrestrial years 2000, 2010, 2020, 2100 under pledges by integrating GCAM with modified version CLUMondo. Our includes 30 thematic categories, combining three density types ten cover types. The illustrates potential contrasting common SSP RCP scenarios. simulations demonstrate high accuracy, offering valuable insights into assessment impacts Earth.

Language: Английский

Citations

3