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

et al.

Land, Journal Year: 2024, Volume and Issue: 14(1), P. 14 - 14

Published: Dec. 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.

Language: Английский

Simulation and Forecast of Coastal Ecosystem Services in Jiaodong Peninsula Based on SSP-RCP Scenarios DOI Creative Commons

Wenhui Guo,

Ranghui Wang,

Fanhui Meng

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(19), P. 3614 - 3614

Published: Sept. 27, 2024

This study simulated the spatiotemporal changes in coastal ecosystem services (ESs) Jiaodong Peninsula from 2000 to 2050 and analyzed driving mechanisms of climate change human activities with respect ESs, aiming provide policy recommendations that promote regional sustainable development. Future land use were forecast based on scenarios Coupled Model Intercomparison Project Phase 6 (CMIP6). The Integrated Valuation Ecosystem Services Tradeoffs (InVEST) model was used assess ESs such as water yield (WY), carbon storage (CS), soil retention (SR), habitat quality (HQ). Key drivers identified using Structural Equation Modeling (SEM). Results demonstrate following: (1) High WY are concentrated built-up areas, while high CS, HQ, SR mainly found mountainous hilly regions extensive forests grasslands. (2) By 2050, CS HQ will show a gradual degradation trend, annual variations closely related precipitation. Among different scenarios, most severe ES occurs under SSP5-8.5 scenario, SSP1-2.6 scenario shows relatively less degradation. (3) SEM analysis indicates urbanization leads continuous declines topographic factors controlling spatial distribution four ESs. Climate can directly influence SR, their impact is stronger higher activity intensity than those lower intensity. (4) Considering combined effects we recommend future development decisions be made rationally control give greater consideration context change.

Language: Английский

Citations

1
Assessment of Carbon Stocks and Influencing Factors in Terrestrial Ecosystems Based on Surface Area DOI Creative Commons
Yang Wang, Min Wang,

J. Zhang

et al.

iScience, Journal Year: 2024, Volume and Issue: 27(12), P. 111431 - 111431

Published: Nov. 19, 2024

The topography of the border ecological barrier area in southern Yunnan is complex, and utilizing vertically projected to estimate carbon stocks may lead significant errors. This study uses multisource data multiple models investigate spatial temporal variations surface factors affecting them area. Results show: difference between planar large, changes land use stock based on this are more significant, showing an inverted V-shape trend time a distribution pattern "high southeast, low northwest". NDVI slope were dominant factors. results provide new surface-scale perspective for deeper understanding land-use planning mountainous region represented by zone Yunnan.

Language: Английский

Citations

1
Soil organic carbon sequestration can be promoted through the improvement of landscape configuration heterogeneity in typical agricultural regions of northeast China DOI
Xiaochen Liu,

Falong Lin,

Zhenxing Bian

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 370, P. 122623 - 122623

Published: Sept. 26, 2024

Language: Английский

Citations

0
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

et al.

Land, Journal Year: 2024, Volume and Issue: 14(1), P. 14 - 14

Published: Dec. 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.

Language: Английский

Citations

0