Spatial-temporal evolution and multi-scenario prediction of carbon emissions from land use in the adjacent areas of nature reserves DOI Creative Commons
Yuan Li, Yuling Peng,

Wei-Ying Cheng

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 170, P. 113047 - 113047

Published: Dec. 31, 2024

Language: Английский

Land Use and Carbon Storage Evolution Under Multiple Scenarios: A Spatiotemporal Analysis of Beijing Using the PLUS-InVEST Model DOI Open Access

Jiaqi Kang,

Linlin Zhang, Qingyan Meng

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(4), P. 1589 - 1589

Published: Feb. 14, 2025

The carbon stock in terrestrial ecosystems is closely linked to changes land use. Understanding how use alterations affect regional stocks essential for maintaining the balance of ecosystems. This research leverages and driving factor data spanning from 2000 2020, utilizing Patch-generating Land Use Simulation (PLUS) model alongside InVEST ecosystem services examine temporal spatial storage across Beijing. Additionally, four future scenes 2030—urban development, natural cropland protection, as well eco-protection—are explored, with PLUS models employed emulate dynamic corresponding variations. results show that following: (1) Between resulted a significant decline storage, total reduction 1.04 × 107 tons. (2) From agricultural, forest, grassland areas Beijing all declined varying extents, while built-up expanded by 1292.04 km2 (7.88%), minimal observed water bodies or barren lands. (3) Compared distribution 2030 urban development scenario decreased 6.99 106 tons, highlighting impact rapid urbanization expansion on storage. (4) In ecological protection scenario, optimization structure an increase 6.01 105 tons indicating allocation this contributes restoration enhances sink capacity ecosystem. study provides valuable insights policymakers optimizing perspective offers guidance achievement “dual carbon” strategic objectives.

Language: Английский

Citations

1

Carbon Stock Dynamics in Biosphere Reserves and Mountainous Forest Ecosystems DOI Creative Commons
Ermias Debie, Tesfaye Wasihun Abro

Trees Forests and People, Journal Year: 2025, Volume and Issue: unknown, P. 100789 - 100789

Published: Jan. 1, 2025

Language: Английский

Citations

0

Spatial-temporal evolution of carbon storage and its driving factors in the Shanxi section of the Yellow River Basin, China DOI

Jia-Kai Ma,

Zixuan Hao,

Yaqi Shen

et al.

Ecological Modelling, Journal Year: 2025, Volume and Issue: 502, P. 111039 - 111039

Published: Feb. 8, 2025

Language: Английский

Citations

0

Estimation of carbon stock in the reed wetland of Weishan county in China based on Sentinel satellite series DOI Creative Commons
Yiming Lu, Jie Chen, Guoping Gao

et al.

Carbon Research, Journal Year: 2025, Volume and Issue: 4(1)

Published: March 11, 2025

Abstract Reed wetlands in Weishan County, Shandong provinces, are typical and representative wetland ecosystems with exceptional carbon sequestration potential. Evaluating the spatial temporal characteristics of land use stock these reed wetlands, exploring their sink value is crucial for climate change mitigation adaptation, provides a potential to as solution neutrality China. Using Sentinel active passive remote sensing data within Google Earth Engine (GEE) platform, we employed random forest classification method identify features County. By combining density obtained from bibliometric sources InVEST model, evaluated dynamics well other types. The results indicated that optical more effective than radar classification, achieving mean overall accuracy 89%. contribute significantly stock, accounting 28% total Other major contributors include forest, water body, agricultural land, artificial unused mudflat land. highest concentration found along shores four lakes northeastern mountainous areas capacity County expected generate 4.95–54 × 10 8 RMB, up 1%–12% county’s GDP. These findings provide scientific foundation subsequent restoration management efforts offer valuable insights developing relevant strategies.

Language: Английский

Citations

0

Factors Influencing Resistivity Inversion for CO2 Geological Storage Zones: A Quantitative Study DOI Creative Commons

C. Y. Wang,

Tianyang Li,

Tao Yu

et al.

Sensors, Journal Year: 2025, Volume and Issue: 25(6), P. 1796 - 1796

Published: March 14, 2025

This study establishes a homogeneous half-space and horizontally layered two-layer background stratigraphy model using cross-borehole electrical resistivity tomography (ERT) based on an incomplete Gauss–Newton (IGN) method to investigate the inversion characteristics of CO2 storage zones. The effects zone volume (VCO2), (ρCO2), formation (ρf), diffusion results were systematically analyzed, mechanisms underlying influence different parameters imaging explored. indicate that increase in VCO2 significantly affects inverted resistivity. ρCO2 can be well within certain range, but accuracy decreases once exceeds threshold. ρf is critical factor influencing results; as increases, values rise markedly, although this effect exhibits upper limit. also uncovers exponential nature zone, where leads changes delineation enhanced by comparing pre- post-injection differences. These findings offer valuable insights for monitoring, contributing both safety assessments evaluation stability geological sequestration.

Language: Английский

Citations

0

Spatial-temporal evolution and multi-scenario prediction of carbon emissions from land use in the adjacent areas of nature reserves DOI Creative Commons
Yuan Li, Yuling Peng,

Wei-Ying Cheng

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 170, P. 113047 - 113047

Published: Dec. 31, 2024

Language: Английский

Citations

2