Multi-Scenario Simulation of Land Use/Cover Change and Terrestrial Ecosystem Carbon Reserve Response in Liaoning Province, China DOI Open Access

Hanlong Gu,

Jiabin Li,

Shuai Wang

и другие.

Sustainability, Год журнала: 2024, Номер 16(18), С. 8244 - 8244

Опубликована: Сен. 22, 2024

Land use/cover change (LUCC) can either enhance the areal carbon reserve capacity or exacerbate emission issues, thereby significantly influencing global climate change. Comprehending impact of LUCC on regional variation holds great significance for ecosystem preservation and socioeconomic sustainable development. This study focuses Liaoning Province, leveraging land use remote sensing data from three periods 2000 to 2020, natural environmental in conjunction with Integrated Valuation Environmental Services Trade-offs (InVEST) model, patch-generating simulation (PLUS) models. It analyzes interactive relationship between reserves Province 2020 forecasts trajectory changes under various scenarios: business as usual, urban development, cropland protection, ecological all based simulations. The findings indicate following: (1) Over period, experienced significant characterized primarily by transformation farmland built-up land. Carbon initially declined later increased due changes, resulting a cumulative increase 30.52 Tg C. spatial distribution was influenced LUCC, displaying pattern aggregation, higher values east lower west. (2) Across four scenarios, continued exhibit characteristic aggregation Under development scenario, decreased 34.56 C tons, representing 2.45% decrease compared 2020. Conversely, business-as-usual, cultivated protection displayed growing tendency, reaching 1449.35 C, 1450.39 1471.80 respectively, 0.09%, 0.16% 1.63% substantial scenario stemmed expansion woodland other areas. In light these findings, may consider laying down strictly executing policies future projecting. PLUS model InVEST help curb uncontrolled land, facilitate increment areas, effect augment reserves, ensuring achievement “double carbon” target peak neutralization.

Язык: Английский

The impact of socioeconomic factors on vegetation restoration in karst regions: A perspective beyond climate and ecological engineering DOI

Ershuang Yuan,

Qiuwen Zhou,

Weihong Yan

и другие.

Ecological Engineering, Год журнала: 2024, Номер 206, С. 107332 - 107332

Опубликована: Июнь 25, 2024

Язык: Английский

Процитировано

4

“Nature-society-economy” drivers and their impact trend on the spatial heterogeneity of ecosystem services in the Upper Yangtze River DOI
Junfu Fan,

Shiliang Liu,

Wanting Wang

и другие.

Deleted Journal, Год журнала: 2025, Номер unknown

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Evaluation and Optimization Strategies for Forest Landscape Stability in Different Landform Types of the Loess Plateau DOI Creative Commons
Mei Zhang, Peng Liu,

Zhong Zhao

и другие.

Remote Sensing, Год журнала: 2025, Номер 17(6), С. 1105 - 1105

Опубликована: Март 20, 2025

This study aims to develop a forest landscape stability assessment framework that integrates structure, function, and resilience assess under different landform types on the Loess Plateau, propose differentiated optimization strategies. Remote sensing images ground survey data were combined compare effectiveness of machine learning models in aboveground biomass (AGB) inversion. Meanwhile, fragmentation multifunctionality assessed, Landscape Stability Index (LSI) was proposed quantify regional stability. The main findings are as follows: (1) between 2000 2022, degree hilly gully region improved significantly, Simpson’s Diversity (SDI) value showed an increasing trend; plateau decreasing trend SDI value. higher significant changes, while more stable, with “Interior” “Dominant” dominating. (2) eXtreme Gradient Boosting model outperformed other AGB estimation, R2 = 0.81 RMSE 24.67 ton ha−1. (3) LSI generally increased, especially Yanchang, showing increase ecological stability; decreased, Baishui, weakening Based results, strategies for stabilities proposed, including hierarchical management fragmentation, multi-objective improve SDI, adaptive AGB. this can effectively landscapes, reveal differences restoration regions, provide new perspectives Plateau.

Язык: Английский

Процитировано

0

Landscape connectivity significantly influences the spatial spillover effects of soil erosion: Based on examples from typical karst watersheds DOI
Jiao Pan,

Feiyang Cai,

Yi Zhu

и другие.

Ecological Indicators, Год журнала: 2025, Номер 173, С. 113373 - 113373

Опубликована: Март 23, 2025

Язык: Английский

Процитировано

0

Multi-Scenario Simulation of Land Use/Cover Change and Terrestrial Ecosystem Carbon Reserve Response in Liaoning Province, China DOI Open Access

Hanlong Gu,

Jiabin Li,

Shuai Wang

и другие.

Sustainability, Год журнала: 2024, Номер 16(18), С. 8244 - 8244

Опубликована: Сен. 22, 2024

Land use/cover change (LUCC) can either enhance the areal carbon reserve capacity or exacerbate emission issues, thereby significantly influencing global climate change. Comprehending impact of LUCC on regional variation holds great significance for ecosystem preservation and socioeconomic sustainable development. This study focuses Liaoning Province, leveraging land use remote sensing data from three periods 2000 to 2020, natural environmental in conjunction with Integrated Valuation Environmental Services Trade-offs (InVEST) model, patch-generating simulation (PLUS) models. It analyzes interactive relationship between reserves Province 2020 forecasts trajectory changes under various scenarios: business as usual, urban development, cropland protection, ecological all based simulations. The findings indicate following: (1) Over period, experienced significant characterized primarily by transformation farmland built-up land. Carbon initially declined later increased due changes, resulting a cumulative increase 30.52 Tg C. spatial distribution was influenced LUCC, displaying pattern aggregation, higher values east lower west. (2) Across four scenarios, continued exhibit characteristic aggregation Under development scenario, decreased 34.56 C tons, representing 2.45% decrease compared 2020. Conversely, business-as-usual, cultivated protection displayed growing tendency, reaching 1449.35 C, 1450.39 1471.80 respectively, 0.09%, 0.16% 1.63% substantial scenario stemmed expansion woodland other areas. In light these findings, may consider laying down strictly executing policies future projecting. PLUS model InVEST help curb uncontrolled land, facilitate increment areas, effect augment reserves, ensuring achievement “double carbon” target peak neutralization.

Язык: Английский

Процитировано

0