Spatial–Temporal Variation and Driving Forces of Carbon Storage at the County Scale in China Based on a Gray Multi-Objective Optimization–Patch-Level Land Use Simulation–Integrated Valuation of Ecosystem Services and Tradeoffs–Optimal Parameter-Based Geographical Detector Model: Taking the Daiyun Mountain’s Rim as an Example DOI Creative Commons
Chen Gui,

Qingxia Peng,

Qiaohong Fan

и другие.

Land, Год журнала: 2024, Номер 14(1), С. 14 - 14

Опубликована: Дек. 25, 2024

Exploring and predicting the spatiotemporal evolution characteristics driving forces of carbon storage in typical mountain forest ecosystems under land-use changes is crucial for curbing effects climate change fostering sustainable, eco-friendly growth. The existing literature provides important references our related studies but further expansion improvements are needed some aspects. This study first proposed an integrated framework comprising gray multi-objective optimization (GMOP), Integrated Valuation Ecosystem Services Tradeoffs (InVEST), Patch-level Land Use Simulation Model (PLUS), optimal parameter-based geographical detector (OPGD) models to expand improve on research. Then, model was used analyze spatial–temporal variation pattern at county scale China’s Daiyun Mountain’s Rim four scenarios 2032, force spatial differentiation storage. results indicated that (1) primarily involves mutual transfer among forest, cultivated, construction land, with approximately 7.2% type area undergoing a transition; (2) natural development scenario projects significant reduction land shrub, lands. Conversely, economic priority, ecological economic–ecological coordinated all anticipate decline cultivated area; (3) will see 2.8 Tg drop stock compared 2022. In contrast, expected increase by 0.29 Tg, 2.62 1.65 respectively; (4) jointly influenced various factors, annual mean temperature, night light index, elevation, slope, population density being key influencing factors. addition, influence factors diminishing, whereas impact socioeconomic rise. deepened, certain extent, research dynamics simulation its mechanisms mountainous ecosystems. can serve provide scientific support balance management adaptation strategies while also offering case inform similar regions around world. However, several limitations remain, as follows: singularity data, scope confined small-scale Future could consider collecting continuous soil data employing (such PLUS or CLUMondo) appropriate area’s dimensions.

Язык: Английский

Ecosystem water use efficiency and carbon use efficiency respond oppositely to vegetation greening in China's Loess Plateau DOI

Yue Wang,

Guangyao Gao, Yanzhang Huang

и другие.

The Science of The Total Environment, Год журнала: 2025, Номер 964, С. 178575 - 178575

Опубликована: Янв. 22, 2025

Язык: Английский

Процитировано

0
Optimization of resource management in vulnerable areas within the interconnected framework of ecosystem services supply and demand DOI Creative Commons
Yuan Liu, Chengyuan Wang, Bangshuai Han

и другие.

Ecological Indicators, Год журнала: 2025, Номер 171, С. 113235 - 113235

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0
Impact of land use change on carbon storage in the middle reaches of the Yellow River, China DOI
Xiaoliang Shi, Jie Zhang, Simin Liu

и другие.

Journal of Arid Land, Год журнала: 2025, Номер 17(2), С. 167 - 181

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0
Afforestation on Abandoned Croplands in China Has the Potential to Increase Carbon Sequestration by half DOI Creative Commons
Le Yu, Tao Liu, Ying Tu

и другие.

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Март 4, 2025

Abstract Afforestation of abandoned cropland represents a promising strategy for land-based climate change mitigation, particularly in regions where land resources additional afforestation are limited. However, the carbon sequestration potential such remains largely unknown. Here, we assess spatial distribution China and its through incentives, using 10,818 empirical data derived from 298 peer-reviewed articles, multisource remote sensing data, machine learning models. We identify 6.03 Mha that have been undergoing natural regeneration since early 21st century. This has to sequester an 215.12–218.94 Tg biomass 15.87–17.64 soil organic (SOC) by 2060, representing 51.95–53.94% increase compared alone. Our results further show benefits could offset 47.71–49.57% government investments (approximately USD 16.254 billion) cropland. findings highlight significant on support China’s neutrality goals, while also offering cost-benefit framework guide policy decisions.

Язык: Английский

Процитировано

0
Analysis and prediction of carbon storage changes on the Qinghai-Tibet Plateau DOI Creative Commons
Lei Wang, Yaping Zhang, Xu Chen

и другие.

PLoS ONE, Год журнала: 2025, Номер 20(4), С. e0320090 - e0320090

Опубликована: Апрель 7, 2025

The Qinghai-Tibet Plateau, a crucial global carbon reservoir, plays an essential role in the cycle. This study used Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model to analyze land use storage changes from 2000 2020, Patch-generating Land Use Simulation (PLUS) predict trends for 2030 2040 under various scenarios, combining density data. impact driving factors on spatial heterogeneity were assessed using Ordinary Least Squares (OLS) Geographically Weighted Regression (GWR) models. Results showed fluctuating increase storage, mainly grasslands forests, with soil organic as largest pool. Positive included Digital Elevation Model (DEM), temperature, proximity railways, roads, Normalized Difference Vegetation Index (NDVI), while aridity was negative. Predictions suggest will rise across all ecological protection showing increase. comprehensively analyzes climate enhances understanding plateau’s ecosystem sustainability, supports policy-making.

Язык: Английский

Процитировано

0
Assessing future land use demands in response to land degradation risk and Socio-Economic impacts DOI
Ziyue Yu, Xiangzheng Deng, Ali Cheshmehzangi

и другие.

Ecological Indicators, Год журнала: 2025, Номер 175, С. 113529 - 113529

Опубликована: Апрель 28, 2025

Язык: Английский

Процитировано

0
Spatiotemporal Effects and Optimization Strategies of Land-Use Carbon Emissions at the County Scale: A Case Study of Shaanxi Province, China DOI Open Access
Yahui Zhang, Jianfeng Li, Siqi Liu

и другие.

Sustainability, Год журнала: 2024, Номер 16(10), С. 4104 - 4104

Опубликована: Май 14, 2024

Land use, as one of the major sources carbon emissions, has profound implications for global climate change. County-level land-use systems play a critical role in national emission management and control. Consequently, it is essential to explore spatiotemporal effects optimization strategies emissions at county scale promote achievement regional dual targets. This study, focusing on Shaanxi Province, analyzed characteristics land use from 2000 2020. By establishing evaluation model, county-level were clarified. Utilizing Geodetector K-means clustering methods, driving mechanisms elucidated, explored. The results showed that during 2000–2020, Province underwent significant changes, with constructed increasing by 97.62%, while cultivated grassland substantially reduced. overall exhibited pattern North > Central South. total within province increased nearly fourfold over 20 years, reaching 1.00 × 108 tons. Constructed was primary source forest contributed significantly sink study area. Interactions among factors had impacts spatial differentiation emissions. For counties different types differentiated recommended. Low-carbon should intensify ecological protection rational utilization, medium-carbon need strike balance between economic development environmental protection, high-carbon prioritize reduction structural transformation.

Язык: Английский

Процитировано

2
Exploring New Avenues in Sustainable Urban Development: Ecological Carbon Dynamics of Park City in Chengdu DOI Open Access
Lin Tang, Jing Wang,

Xu Luo

и другие.

Sustainability, Год журнала: 2024, Номер 16(15), С. 6471 - 6471

Опубликована: Июль 29, 2024

The close relationship between land use and carbon stock is crucial for regional balance, territorial spatial planning, the sustainable development of ecosystems. As a pioneer Park Cities, Chengdu plays vital role in Chinese cities. To investigate impact City construction on stock, this study adopted new perspective, using Integrated Valuation Ecosystem Services Trade-offs (InVEST) model to analyze temporal differences stock. Additionally, we used Geographic Detector driving factors Chengdu. Based peaking neutrality goals (peaking dioxide emissions before 2030 achieving 2060), simulated years 2060. Simultaneously, combining Future Land Use Simulation (FLUS) model, changing trends under three scenarios: natural scenario (NDS), cultivated protection (CLDS), (PCS). results show following: (1) After City, quality forest improved, resulting an increase by 1.19 × 106 tons. (2) Compared without construction, implementation led total 3.75 105 tons, with increasing 7.48 (3) PCS most conducive goals, highest (4) Carbon mainly driven socio-economic factors. use/land cover (LULC) has greatest explanatory power, q value 0.9. great significance

Язык: Английский

Процитировано

1
Driving Analysis and Multi Scenario Simulation of Ecosystem Carbon Storage Changes Based on the InVEST-PLUS Coupling Model: A Case Study of Jianli City in the Jianghan Plain of China DOI Open Access

Jun Shao,

Yuxian Wang,

Mingdong Tang

и другие.

Sustainability, Год журнала: 2024, Номер 16(16), С. 6736 - 6736

Опубликована: Авг. 6, 2024

The carbon storage capacity of terrestrial ecosystems serves as a crucial metric for assessing ecosystem health and their resilience to climate change. By evaluating the effects land use alterations on this storage, management strategies can be improved, thereby promoting reduction sequestration. While county-level cities are pivotal ecological conservation high-quality development, they often face developmental challenges. Striking balance between economic growth meeting peak emissions neutrality objectives is particularly challenging. Consequently, there an urgent need bolster research into management. study focuses Jianli City, employing InVEST model data examine response patterns changes system from 2000 2020. Using PLUS model, simulated in City year 2035 under three scenarios: Natural Development scenario, Urban Expansion Ecology food security scenario. Our findings indicate following: (1) Between 2020, significant shifts were observed City. These predominantly manifested interchange Cropland Water areas enlargement impervious surfaces, leading decrease 691,790.27 Mg storage. (2) Under proposed scenarios—Natural scenario—the estimated capacities 39.95 Tg, 39.90 40.14 respectively. When compared with 2020 data, all these estimates showed increase. In essence, our offers insights optimizing structures standpoint ensure stability Jianli’s levels while mitigating risks associated fixation. This has profound implications harmonious evolution regional eco-economies.

Язык: Английский

Процитировано

1
Mechanisms for carbon stock driving and scenario modeling in typical mountainous watersheds of northeastern China DOI
Jin Zhang,

Wenguang Zhang,

Xin-Yan Zhang

и другие.

Environmental Monitoring and Assessment, Год журнала: 2024, Номер 196(9)

Опубликована: Авг. 8, 2024

Язык: Английский

Процитировано

1