Comprehensive Analysis of Land Use Change and Carbon Sequestration in Nepal from 2000 to 2050 Using Markov Chain and InVEST Models DOI Open Access
Deepak Chaulagain, Ram L. Ray, Abdulfatai Olatunji Yakub

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(17), P. 7377 - 7377

Published: Aug. 27, 2024

The escalating pace of migration and urbanization in Nepal has triggered profound alterations land use practices. This event resulted a considerable diminution ecological diversity substantial decline the potential for carbon sequestration other ecosystem services, thereby impeding climate change mitigation efforts. To address this, comprehensive assessment storage was conducted from 2000 to 2019 forecasted 2050 Nepal. Employing Markov chain InVEST models, this study evaluated loss gain carbon, elucidating its economic value spatial distribution. findings revealed that were 1.237 1.271 billion tons, respectively, with projected increase 1.347 million tons by 2050. Carbon between amounted 34.141 which is anticipated surge 76.07 2050, translating valuations 110.909 378.645 USD, respectively. Forests emerged as pivotal storage, exhibiting higher pooling than types, expanding 37% 42% total area predicted year Notably, distribution concentrated parts terai mountain regions, alongside significant portions hilly terrain. offer valuable insights governing REDD+ developing implementing forest management policies. results emphasize importance providing incentives local communities judiciously promote effective conservation measures.

Language: Английский

Assessing forest fire likelihood and identification of fire risk zones using maximum entropy-based model in Khyber Pakhtunkhwa, Pakistan DOI
Rida Naseer, Muhammad Nawaz Chaudhry

Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(3)

Published: Feb. 13, 2025

Language: Английский

Citations

2
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

2
Assessment of urbanization impacts on vegetation cover in major cities of Pakistan: evidence from remotely sensed data DOI
Zeeshan Zafar

GeoJournal, Journal Year: 2024, Volume and Issue: 89(4)

Published: Aug. 2, 2024

Language: Английский

Citations

15
Examining the landscape transformation and temperature dynamics in Pakistan DOI Creative Commons
Afia Ali, Bilal Hussain,

Riaz Ul Hissan

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 20, 2025

This study aims to examine the landscape transformation and temperature dynamics using multiple spectral indices. The processes of temporal fluctuations in land surface is strongly related morphological features area which determined, given factors significantly affect thermal properties surface. research being conducted Pakistan identify vegetation cover, water bodies, impervious surfaces, decadal remote sensing data with four intervals during 1993–2023 Mardan division, Khyber Pakhtunkhwa. To analyze dynamics, used indices including Land Surface Temperature, Normalized Difference Vegetation Index, Water Built-up Bareness Index by employing Google Earth Engine cloud computing platform. results suggest that there are differences type temperature, ranging from 15.58 °C 43.71 period. Nevertheless, larger were found cover protective forests area, especially northwestern southeastern parts system. These highlighted complexity relationship between regarding need for

Language: Английский

Citations

1
Exploration of ecological compensation standard: Based on ecosystem service flow path DOI
Zhongwei An, Caizhi Sun, Shuai Hao

et al.

Applied Geography, Journal Year: 2025, Volume and Issue: 178, P. 103588 - 103588

Published: March 12, 2025

Language: Английский

Citations

1
Evaluation of driving effects of carbon storage change in the source of the Yellow River: A perspective with CMIP6 future development scenarios DOI Creative Commons
Ming Ling, Zihao Feng, Zizhen Chen

et al.

Ecological Informatics, Journal Year: 2024, Volume and Issue: 83, P. 102790 - 102790

Published: Aug. 23, 2024

Language: Английский

Citations

5
Spatio-Temporal Assessment of Urban Carbon Storage and Its Dynamics Using InVEST Model DOI Creative Commons
Richa Sharma, Lolita Pradhan, Maya Kumari

et al.

Land, Journal Year: 2024, Volume and Issue: 13(9), P. 1387 - 1387

Published: Aug. 29, 2024

Carbon storage estimates are essential for sustainable urban planning and development. This study examines the spatio-temporal effects of land use cover changes on provision monetary value above- below-ground carbon sequestration during 2011, 2019, simulated year 2027 in Noida. The Google Earth Engine-Random Forests (GEE-RF) classifier, Cellular Automata Artificial Neural Network (CA-ANN) model, InVEST-CCS model some software tools applied analysis. findings demonstrate that Noida is 23.95 t/ha. city increased between 2011 2019 by approximately 67%. For predicted 2027, a loss recorded. indicates if current pattern continues next decade, majority will be transformed into either built-up or barren land. decline agriculture vegetation would further lead to slump potential terrestrial sequestration. Urban provide past records serve as baseline precursor future changes, therefore more such city-scale analyses required overall sustainability.

Language: Английский

Citations

5
The interplay between urbanization, vegetation loss and surface heat island in cities: two decadal empirical evidence from Pakistan DOI
Zeeshan Zafar, Yuanyuan Zha, Shah Fahd

et al.

Theoretical and Applied Climatology, Journal Year: 2024, Volume and Issue: 155(12), P. 9911 - 9928

Published: Oct. 18, 2024

Language: Английский

Citations

5
Multi-Scenario land cover changes and carbon emissions prediction for peak carbon emissions in the Yellow River Basin, China DOI Creative Commons

Haipeng Niu,

Si Chen,

Dongyang Xiao

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 168, P. 112794 - 112794

Published: Nov. 1, 2024

Language: Английский

Citations

5
Evaluation and Prediction of Carbon Storage in the Qinghai-Tibet Plateau by Coupling the GMMOP and PLUS Models DOI Open Access
Yuan Li, Jing Xu, Bo Feng

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(13), P. 5776 - 5776

Published: July 6, 2024

Land-use alterations exert a profound impact on carbon storage within terrestrial ecosystems. Exploring the spatiotemporal dynamics of regional land use and is crucial for optimizing national spatial planning fostering low-carbon development. For this study, we utilized land-use data spanning from 2000 to 2020 Tibetan Plateau assessed temporal variations in using Integrated Valuation Ecosystem Services Tradeoffs (InVEST) model. We adjusted density provinces study area as prerequisite. Moreover, integrated Grey Multi-objective Decision-making (GMMOP) model with Patch-generating Simulation (PLUS) forecast 2030 across various scenarios. The findings indicated that between 2020, overall witnessed decrease 18.94 × 108 t. Carbon grassland decreased by 22.10 t, unused land, forest cultivated construction water increased 1.56 0.92 0.66 158.50 104 t 26.74 respectively. soil organic pool exhibited highest average 195.63 whereas litterfall contained lowest stock 15.07 In comparison levels observed total experienced reduction 8.66 5.29 under inherent progression economic growth scenarios, Conversely, it rose 11.87 16.21 environmental preservation holistic Under scenario, belowground biomass increase 5.59%. These offer valuable insights management enhancement sinks Qinghai-Tibet Plateau.

Language: Английский

Citations

4