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

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(18), P. 8244 - 8244

Published: Sept. 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.

Language: Английский

Multitemporal Assessment of Ecosystem Service Values and Carbon Sequestration in a Protected Ecosystem: A Case Study from Dalma Wildlife Sanctuary in Jharkhand, India DOI
Dayamoy Mandal, Debasis Ghosh

International Journal of Environmental Research, Journal Year: 2025, Volume and Issue: 19(4)

Published: April 17, 2025

Language: Английский

Citations

0
Evolution and Projection of Carbon Storage in Important Ecological Functional Areas of the Minjiang River Basin, 1985–2050 DOI Open Access
Xiaobin Huang,

Xiaosheng Liu,

Youliang Chen

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(15), P. 6552 - 6552

Published: July 31, 2024

The alteration of land use and cover (LULC) the landscape ecological risk index (LERI) significantly impact carbon storage. Examining storage services in ecologically significant places is crucial for achieving a harmonious relationship between economic development region, conservation terrestrial ecosystems, mitigation sink depletion. This study aims to provide complete framework that integrates PLUS, Fragstats, InVEST models. will be utilized optimize LULC LERI, specifically maximizing analysis carried out over an extended duration from various viewpoints. results indicate MJRB ecosystem experienced three clearly defined phases: enhancement (1985–1995), degradation (1995–2010), subsequent (2010–2020). LERI high-level patterns showed similar trends. local ecosystems can primarily due widespread caused by socio-economic development. Ecological Preservation Scenario projected increase 41.97 Tg 115.18 In contrast, urban scenario substantial decrease rates, namely 0.89% 1.34%, evident Chengdu zone. An coupling coordination revealed negative high while positive connection was observed with low LERI. established rapidly assessing forecasting trajectory It aids optimizing patterns, conserving areas sequestration, ensuring establishment high-quality ecosystems. serves as guide regional “dual carbon” objectives.

Language: Английский

Citations

3
Carbon Storage Simulation and Land Use Optimization for High-Water-Table Resource-Based Cities Based on the Coupled GMOP-PLUS-InVEST Model DOI Creative Commons
Zhen Wang,

Anya Zhong,

Erhu Wei

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(23), P. 4480 - 4480

Published: Nov. 29, 2024

Exploring land use evolution and its impact on carbon storage is crucial for mitigating climate change in resource-based cities promoting green, low-carbon development. This study constructs a GMOP-PLUS-InVEST coupled model utilizes remote sensing data from five phases of 2000 to 2020. Four scenarios are established simulate the future patterns changes Jining City. The results indicate that: (1) 2020, farmland, forest land, grassland City show declining trend; while construction waters increase, resulting reduction 167.35 × 10⁶ t 159.85 2020; (2) coal mining significantly influences nearby utilization types storage, leading decline reserves; (3) compared other three scenarios, coordinated development scenario exhibits higher efficiency with lower levels human disturbance; balancing local economy environment, serving as sustainable pattern area. outcomes this paper quantitatively reflect relationship between use, mining, high-water-level cities; providing guidance economy, urban development, ecological environment protection.

Language: Английский

Citations

2
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

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(18), P. 8244 - 8244

Published: Sept. 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.

Language: Английский

Citations

0