Urbanization-led land cover change impacts terrestrial carbon storage capacity: A high-resolution remote sensing-based nation-wide assessment in Pakistan (1990–2020)

Environmental Impact Assessment Review, Journal Year: 2023, Volume and Issue: 105, P. 107396 - 107396

Published: Dec. 20, 2023

Language: Английский

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Analysis of the coupling characteristics of land transfer and carbon emissions and its influencing factors: A case study of China

Frontiers in Environmental Science, Journal Year: 2023, Volume and Issue: 10

Published: Jan. 4, 2023

The rapid and disorderly expansion of urban construction land has exacerbated the contradiction between use low-carbon development. In this paper, we spatial autocorrelation model coupling to analyze characteristics coupled coordination degree transfer carbon emissions in 291 cities China. multi-scale geographically weighted regression (MGWR) is used explore heterogeneity influence socioeconomic factors on their degree. results show that: from 2005 2015, scale been increasing quantitatively spatially showing a shift southeast coast central western regions. 2005, 2010, global Moran’s I are 0.3045, 0.3725, 0.3388, respectively, indicating that significant positive autocorrelation. MGWR indicates at different time nodes. coefficients NGR have obvious stratification characteristics, with decreasing northeast southwest. high coefficient (0.924∼0.989) GPC mainly distributed region. PD ranges 0.464 0.918, but difference northwest obvious. This study may provide new clues for sustainable development reduction.

Language: Английский

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Exploring the optimization of spatial patterns for carbon sequestration services based on multi-scenario land use/cover changes in the changchun-Jilin-Tumen region, China

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 438, P. 140788 - 140788

Published: Jan. 1, 2024

Language: Английский

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Unfolding the spatial spillover effect of urbanization on composite ecosystem services: A case study in cities of Yellow River Basin

Ecological Indicators, Journal Year: 2024, Volume and Issue: 158, P. 111521 - 111521

Published: Jan. 1, 2024

River basins play an important role in national economic development and ecological security can be well expressed by ecosystem services (ESs) research. Due to rapid population growth climate change, it has had a significant impact on the of Yellow Basin (YRB). Although ESs have been assessed several studies, few studies used composite service index (CESI) their assessment. Thus, here, based InVEST model, bivariate spatial autocorrelation, econometric we studied YRB, with aim build CESI for evaluating overall YRB. We found that YRB from 1990 year–2020 year obvious spatiotemporal distribution law at city level grid scale, showing high characteristic southeast. The trend also showed difference regional distribution. There was positive correlation between urbanization indicators reflected urbanization, aggregation type among three similar. Furthermore, density strong spillover effect CESI, whereas land negative effect. Therefore, should pay attention transforming extensive model paying when laying out industrial structures. Additionally, is necessary control expansion built-up improve use efficiency, thereby reducing development. This study's findings serve as reference policy formulation major river worldwide.

Language: Английский

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Assessing land-use changes and carbon storage: a case study of the Jialing River Basin, China

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: July 10, 2024

Land-use change is the main driver of carbon storage in terrestrial ecosystems. Currently, domestic and international studies mainly focus on impact changes climate, while land-use complex ecosystems are few. The Jialing River Basin (JRB), with a total area ~ 160,000 km

Language: Английский

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Spatio-temporal evolution and prediction of carbon storage in Kunming based on PLUS and InVEST models

PeerJ, Journal Year: 2023, Volume and Issue: 11, P. e15285 - e15285

Published: May 23, 2023

Carbon storage is a critical ecosystem service provided by terrestrial environmental systems that can effectively reduce regional carbon emissions and for achieving neutrality peak. We conducted study in Kunming analyzed the land utilization data 2000, 2010, 2020. assessed features of conversion forecasted under three development patterns 2030 on basis Patch-generating Land Use Simulation (PLUS) model. used Integrated Valuation Ecosystem Services Trade-offs (InVEST) model to estimate changes trends scenarios 2020, impact socioeconomic natural factors storage. The results indicated (1) intimately associated with practices. 2020 was 1.146 × 108 t, 1.139 1.120 respectively. During 20 years, forest decreased 142.28 km

Language: Английский

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Unraveling land use land cover change, their driving factors, and implication on carbon storage through an integrated modelling approach

The Egyptian Journal of Remote Sensing and Space Science, Journal Year: 2024, Volume and Issue: 27(4), P. 615 - 627

Published: Aug. 13, 2024

Land Use Cover (LULC) change is a complex phenomenon driven by various natural and anthropogenic factors, significantly impacting carbon storage potential. By applying integrated models of ANN-CA Markov, GeoDetector, InVEST model, this study aimed to analyze LULC change, their driving implications on in the Forest Management Unit (FMU) Ampang Plampang West Nusa Tenggara, Indonesia. Several data sources were utilized modelling approach, including DEM (Digital Elevation Model), topographical map, Landsat imageries (2011, 2016, 2021), measured density (above ground, below soil, dead organic), socio-economic (number populations, farmer, agricultural land). The dryland forest area constitutes most extensive that has experienced significant declines due deforestation, predominantly transforming into land, these are predicted continue until 2031 with different magnitudes. factors elevation, population pressure distance from settlement. also greatly influenced decline historically (2011–2016) projected (2026–2031). conversion forested areas non-forest LULCs released emissions about 1.89 Mt CO2-eq. findings implied integration been helpful for comprehending complicated interactions among dynamics. results contribute scientific knowledge base land management decision-making policy formulation. Effective changes through low development suggested mitigate loss capacities, foster sustainable goals (SDGs), support Nationally Determined Contribution (NDC), improve ecosystem resilience.

Language: Английский

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Spatial-Temporal Simulation of Carbon Storage Based on Land Use in Yangtze River Delta under SSP-RCP Scenarios

Land, Journal Year: 2023, Volume and Issue: 12(2), P. 399 - 399

Published: Feb. 1, 2023

Land use change could affect the carbon sink of terrestrial ecosystems, implying that future storage be estimated by simulating land patterns, which is great significance for ecological environment. Therefore, patterns and under combination scenarios different Shared Socioeconomic Pathway (SSP) Representative Concentration (RCP) Yangtze River Delta were simulated introducing weight matrices into Markov model combining PLUS InVEST models. The results revealed woodland expands greatly during 2020–2060 SSP1-RCP2.6 scenario, 2060 at a high level with an value 5069.31 × 106 t average annual increase 19.13 t, indicating scenario contributes to improvement storage. However, area built-up increasing SSP5-RCP8.5 3836.55 decrease 11.69 negatively affects sink. Besides, SSP2-RCP4.5 causes almost no effect on above can help policymakers manage choose best development scenario.

Language: Английский

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A Simulation-Based Prediction of Land Use Change Impacts on Carbon Storage from a Regional Imbalance Perspective: A Case Study of Hunan Province, China

Land, Journal Year: 2024, Volume and Issue: 13(10), P. 1721 - 1721

Published: Oct. 20, 2024

Land use imbalances are a critical driving factor contributing to regional disparities in carbon storage (CS). As significant component of China’s Yangtze River Economic Belt, Hunan Province has undergone substantial shifts land types, resulting an uneven distribution ecosystem CS and sequestration capacity. Therefore, within the framework “dual carbon” strategy, examining effects changes driven by resource on holds practical importance for advancing sustainable development. This study focuses Province, utilizing PLUS-InVEST model assess spatiotemporal evolution under from 1990 2020. Additionally, multiple scenario-based development modes were employed predict county-level CS. The results indicate following: (1) From 2020, experienced continuous urban expansion, with forest cultivated land, which core ecological being converted into construction land. (2) Over these 30 years, province’s total increased 2.47 × 108 t, spatial differentiation. High-value zones concentrated bands along borders, while lower values observed central northern regions. highest recorded forested areas at periphery, whereas lowest water bodies. (3) predictions revealed notable differences, protection scenario demonstrating sink effect. By prioritizing could be maximized. research provides valuable insights enhancing optimizing structures regions facing imbalances.

Language: Английский

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Evaluating ecosystem services under various trajectories and land use/land cover changes in a densely populated area, Iran

Earth Science Informatics, Journal Year: 2025, Volume and Issue: 18(2)

Published: April 10, 2025

Language: Английский

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