Climate Change May Increase the Impact of Coastal Flooding on Carbon Storage in China’s Coastal Terrestrial Ecosystems DOI Creative Commons
Shuyu Yang, Jiaju Lin, Xiongzhi Xue

et al.

Land, Journal Year: 2024, Volume and Issue: 13(11), P. 1871 - 1871

Published: Nov. 8, 2024

Climate warming exacerbates the deterioration of soil and degradation vegetation caused by coastal flooding, impairing ecosystem climate-regulating functions. This will elevate risk carbon storage (CS) loss, further intensifying climate change. To delve deeper into this aspect, we aimed to integrate future land use/land cover changes global mean sea-level rise assess impact floods on terrestrial CS under effects We compared 10-year (RP10) 100-year (RP100) return-period in 2020 with projected scenarios for 2050 SSP1-26, SSP2-45, SSP3-70, SSP5-85. The study findings indicate that loss flooding China’s zones was 198.71 Tg 263.46 2020. In 2050, SSP3-70 scenarios, is increase sequentially, underscoring importance implementing globally coordinated strategies mitigating change effectively manage flooding. value expected an anticipated 97–525% 91–498% (RP100). highlights essential need include flood-induced emission management assessments.

Language: Английский

Tiger Habitat Quality Modelling in Malaysia with Sentinel-2 and InVEST DOI Creative Commons

Valentin Louis,

Susan Page, Kevin Tansey

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(2), P. 284 - 284

Published: Jan. 10, 2024

Deforestation is a threat to habitat quality and biodiversity. In intact forests, even small levels of deforestation can have profound consequences for vertebrate The risk hotspots are Borneo, the Central Amazon, Congo Basin. Earth observation (EO) now provides regular, high-resolution satellite images from Copernicus Sentinel missions other platforms. To assess impact forest conversion loss on biodiversity quality, in tiger conservation landscape Malaysia analysed using Sentinel-2 imagery InVEST model. Forest losses identified satellites random classification validated with PlanetScope at 3–5 m resolution test area. Two scenarios simulated InVEST, one without maps. outputs model maps degradation northeast Peninsular Malaysia. addition loss, OpenStreetMap road vectors GLC2000 land-cover map used sensitivity threats roads, railways, water bodies, urban areas. score simulation results fall sharply ~0.8 ~0.2 tree-covered land cover when included makes reasonable assumption that species richness higher pristine tropical forests than agricultural landscapes. compare between administrative coupled EO/InVEST modelling framework presented here support decision makers reaching targets Kunming-Montreal Global Biodiversity Framework. information essential quantification forests. Next generation ecosystem service models should be co-developed alongside EO products ensure interoperability.

Language: Английский

Citations

9

Future land use/land cover and its impacts on ecosystem services: case of Aydın, Turkey DOI Creative Commons
Ebru ERSOY TONYALOĞLU

International Journal of Environmental Science and Technology, Journal Year: 2024, Volume and Issue: 22(6), P. 4601 - 4617

Published: July 29, 2024

Abstract This paper aims to reveal the impacts of land use/land cover changes on ecosystem services and guide sustainable development decisions by modelling future pattern its in case Aydın province, Turkey. In this context, study examined predicted patterns with three scenarios (natural development, service-based economy-based development) using PLUS model, determined impact InVEST generated carbon storage habitat quality services. The key drivers change were agricultural expansion, transformation different vegetation types into each other, and, even a small scale, urbanization. revealed that spatial types, together effect changing patterns, have significant quality. While reductions shrubland forests detrimental, transformations from openspaces them, particularly at their boundaries, enhanced capacity On other hand, though based economic value products/services obtained respectively, scenario was characterized more effective management terms maximizing both ecological benefits. highlights significance emerging need for prioritizing considerations urban planning.

Language: Английский

Citations

9

Dynamics of Land Use/Land Cover Considering Ecosystem Services for a Dense-Population Watershed Based on a Hybrid Dual-Subject Agent and Cellular Automaton Modeling Approach DOI Creative Commons
Yutong Li, Yanpeng Cai, Qiang Fu

et al.

Engineering, Journal Year: 2024, Volume and Issue: 37, P. 182 - 195

Published: Feb. 1, 2024

Land use/land cover represents the interactive and comprehensive influences between human activities natural conditions, leading to potential conflicts among human-related issues as well stakeholders. This study introduced economic standards for farmers. A hybrid approach (CA-ABM) of cellular automaton (CA) an agent-based model (ABM) was developed effectively deal with social land use synergic examine human–environment interactions projections conversions a humid basin in south China. Natural attributes socioeconomic data were used analyze its drivers change. The major modules CA-ABM are initialization, migration, assets, suitability, land-use change decisions. Empirical estimates factors influencing urban conversion probability captured using parameters based on spatial logistic regression (SLR) model. Simultaneously, multicriteria evaluation (MCE) Markov models obtain empirical affecting ecological conversion. An CA-SLR-MCE-Markov (ABCSMM) proposed explore impacts policies can reproduce observed patterns provide links forest transition expansion decisions ecosystem services. results demonstrated simulations under multi-policy scenarios, revealing usefulness normative research management.

Language: Английский

Citations

7

Analysis and Simulation of Land Use Changes and Their Impact on Carbon Stocks in the Haihe River Basin by Combining LSTM with the InVEST Model DOI Open Access

Yan-Zhen Lin,

Lei Chen, Ying Ma

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(6), P. 2310 - 2310

Published: March 11, 2024

The quantitative analysis and prediction of spatiotemporal patterns land use in Haihe River Basin are great significance for ecological planning management. To reveal the changes carbon stock, spatial–temporal pattern data from 2000 to 2020 was studied via Mann–Kendall (MK) trend analysis, transfer matrix, dynamic attitude. Through integrating models Integrated Valuation Ecosystem Services Trade-offs (InVEST) Long Short-Term Memory (LSTM), results spatial distribution stock were obtained compared with Cellular Automation (CA-Markov), then applied predict 2025. show following: (1) cover (LULC) primarily involve an exchange between cultivated land, forest, grassland, as well conversion built-up land. This transformation contributes overall decrease storage basin, which declined by approximately 1.20% 2020. (2) LULC accuracy LSTM is nearly 2.00% higher than that CA-Markov, reaching 95.01%. (3) In 2025, area grassland will increase most, while most. stocks northwest lower southeast, changing areas scattered throughout study area. However, due substantial growth 2025 about 10 times research can provide a theoretical basis reference watershed planning, restoration,

Language: Английский

Citations

6

Land Use Change Modelling Using Logistic Regression, Random Forest and Additive Logistic Regression in Kubu Raya Regency, West Kalimantan DOI Creative Commons

Alfa Nugraha Pradana,

Anik Djuraidah, Agus Mohamad Soleh

et al.

Forum Geografi, Journal Year: 2023, Volume and Issue: 37(2)

Published: Dec. 29, 2023

Kubu Raya Regency is a regency in the province of West Kalimantan which has wetland ecosystem including high-density swamp or peatland along with an extensive area mangroves. The function ecosystems essential for fauna, as source livelihood surrounding community and storage reservoir carbon stocks. Most land peatland. As consequence, peat long been used agriculture community. Along vast peat, also potential high risk fires. This study aims to predict use changes using three statistical machine learning models, specifically Logistic Regression (LR), Random Forest (RF) Additive (ALR). Land cover map data were acquired from Ministry Environment Forestry subsequently reclassified into six types at resolution 100 m. employed classify class regency, years 2009, 2015 2020. Based on model performance, RF provides greater accuracy F1 score opposed LR ALR. outcome this expected provide knowledge recommendations that may aid developing future sustainable development planning management Regency.

Language: Английский

Citations

15

The Role of Nature Reserves in Ecosystem Services and Urban Ecological Sustainable Development DOI Creative Commons
H. W. Wu, Fei Song, Haifu Li

et al.

Land, Journal Year: 2025, Volume and Issue: 14(1), P. 136 - 136

Published: Jan. 10, 2025

With the acceleration of global urbanization, ecosystem services (ES) and ecological balance nature reserves have been significantly impacted. However, quantitative assessments multiple contributions to urban sustainability are still lacking. This study selects Panjin, a wetland city in China (3788 km2), as area, utilizing InVEST model quantify ES (water yield, carbon storage, soil retention, habitat quality), employing redundancy analysis explore influencing factors. Ecological source areas were identified, Sustainable Development Goals (SDGs) score was calculated systematically evaluate contribution reserves. The results indicate that from 1990 2010, built-up area Panjin increased by approximately 159%, leading reduction quality 20%, 4%, 14%, respectively. From 2010 2020, restoration policies resulted 63% increase compared 2010. Nature played crucial role maintaining stability, providing over 40% while occupying only 24% city’s contributing more than 30% overall sustainability. is first assess sustainability, management recommendations for policymakers based on innovative environmental indicators methods support sustainable development.

Language: Английский

Citations

0

Multi-scenario prediction of ecosystem services value and mechanism of its trade-offs under the township scale—evidence from Liaoning province DOI
Aihua Cao, Jinning Zhang

Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(2)

Published: Jan. 29, 2025

Language: Английский

Citations

0

Comparative Analysis of Dynamic Changes and Scenario Predictions of Carbon Storage in a Small Watershed Driven by Social‐Natural Factors in Cold Regions DOI Open Access

Xiaomeng Guo,

Li Wang,

Zilong Wang

et al.

Land Degradation and Development, Journal Year: 2025, Volume and Issue: unknown

Published: March 11, 2025

ABSTRACT Carbon storage (CS) influences the balance and stability of carbon cycle in global terrestrial ecosystems. Research on changes CS scenario forecasting is essential for developing sustainable socioeconomic policies. To more accurately predict small watersheds cold regions, this study takes Ashi River watershed (ARW) as a case to explore “past–present–future” CS. We quantify dominant factors affecting further focus prediction under four SSP–RCP scenarios considering from new perspective by coupling Integrated Valuation Ecosystem Services Tradeoffs (InVEST) Patch‐generating Land Use Simulation (PLUS) models, which important implementing dual policy regions. The findings revealed pattern growth followed reduction between 1990 2020, resulting an overall increase 2.68% 3947.40 × 10 4 Mg 2020. Both natural drove CS, with having direct positive impact negative impact. Climate land use types were significantly correlated simulations showed significant across all scenarios, largest 52.39% occurring ecological protection 18.36% black soil cropland conservation scenario. A management strategy was developed based cover change (LUCC) ARW's developmental trajectory establish economic–ecological balanced development model. results can provide valuable reference decision‐makers formulating strategies units

Language: Английский

Citations

0

Multi-scenario simulation and carbon storage assessment of land use in a multi-mountainous city DOI
Angjian Wu, Zhitai Wang

Land Use Policy, Journal Year: 2025, Volume and Issue: 153, P. 107529 - 107529

Published: March 17, 2025

Language: Английский

Citations

0

Spatial Responses of Ecosystem Service Trade-offs and Synergies to Impact Factors in Liaoning Province DOI

Dongfeng Ren,

Ai-Ya Qiu,

Aihua Cao

et al.

Environmental Management, Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 1, 2023

Language: Английский

Citations

9