Effects of land use/cover change on carbon storage between 2000 and 2040 in the Yellow River Basin, China

Ecological Indicators, Journal Year: 2023, Volume and Issue: 151, P. 110345 - 110345

Published: May 11, 2023

Land use/cover change (LUCC) is the primary source of carbon storage changes in ecosystem. Up to now, there are few studies about impacts and driving mechanisms LUCC for ecosystem at spatial–temporal scales. Characterizing Yellow River Basin (YRB) its role very important necessary elucidate results human activities on ecosystems. The policies address potential future risks should be formulated advance achieve effective development. In paper, we regarded YRB as study area, analyzed during 2000 2020, predicted land use patterns 2040 under scenarios natural trend (NT), ecological degradation (ED), restoration (ER) using Markov model with Patch-generating Use Simulation (PLUS) model, quantified ecosystems over last 20 years according Integrated Valuation Ecosystem Services Tradeoffs (InVEST) model. outcome was follows: (1) During 2040, changed markedly, cropland being transformed into woodland, grassland built-up land; (2) an upward a mean annual increase 1.93×106Mg C, woodland answer increasing storage, while unused could induce decrease; (3) Carbon varied different degrees three scenarios, but premise not causing large-scale damage, conversion means improving greatly enhancing sequestration efficiency capacity YRB. conclusion, environmental management continuously oriented protection low-carbon development, so that basin will able develop benign direction.

Language: Английский

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Dynamics of carbon storage driven by land use/land cover transformation in coal mining areas with a high groundwater table: A case study of Yanzhou Coal Mine, China

Environmental Research, Journal Year: 2024, Volume and Issue: 247, P. 118392 - 118392

Published: Feb. 2, 2024

Language: Английский

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Satellite-based Machine Learning modelling of Ecosystem Services indicators: A review and meta-analysis

Applied Geography, Journal Year: 2024, Volume and Issue: 165, P. 103249 - 103249

Published: March 11, 2024

Satellite-based Machine Learning (ML) modelling has emerged as a powerful tool to understand and quantify spatial relationships between landscape dynamics, biophysical variables natural stocks. Ecosystem Services indicators (ESi) provide qualitative quantitative information aiding the assessment of ecosystems' status. Through systematic meta-analysis following PRISMA guidelines, studies from one decade (2012–2022) were analyzed synthesized. The results indicated that Random Forest most frequently utilized ML algorithm, while Landsat missions stood out primary source Satellite Earth Observation (SEO) data. Nonetheless, authors favoured Sentinel-2 due its superior spatial, spectral, temporal resolution. While 30% examined focused on proxies climate regulation services, assessments stocks such biomass, water, food production, raw materials also applied. Meta-analysis illustrated utilization classification regression tasks in estimating measurements extent conditions findings underscored connections established methods their replication. This study offers current perspectives existing satellite-based approaches, contributing ongoing efforts employ artificial intelligence for unveiling potential SEO data technologies ESi.

Language: Английский

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Land Use Transitions and the Associated Impacts on Carbon Storage in the Poyang Lake Basin, China

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(11), P. 2703 - 2703

Published: May 23, 2023

Carbon storage plays an important role in the global carbon cycle and climate change mitigation. Understanding relationship between land use can significantly contribute to neutrality sustainable development. However, most previous studies only analyze due change, while few quantitatively evaluate contributions of various transitions (LUTs) which cannot provide enough information for management. In context rapid urbanization ecological conservation, Poyang Lake basin (PYLB) has experienced dramatic affected local storage. Therefore, this study used InVEST model PYLB from 1990 2020. Then, Geo-information Tupu method was quantify LUTs identify key LUTs. The results showed that decreased by 17.26 Tg gain mainly attributed ‘farmland forestland’ (36.87%), ‘grassland (22.58%), water’ (15.89%). contrast, built-up land’, ‘forestland grassland’ contributed 39.94%, 28.06%, 13.25% loss, respectively. Massive loss caused expansion should attract attention. This references formulation optimization policies achieve development PYLB.

Language: Английский

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Coupling of underground coal mining and mine reclamation for farmland protection and sustainable mining

Resources Policy, Journal Year: 2023, Volume and Issue: 84, P. 103756 - 103756

Published: June 12, 2023

Language: Английский

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Assessment of the impact of land use/land cover change on carbon storage in Chengdu, China, in the context of carbon peaking and carbon neutrality, 2000–2030

Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown

Published: April 15, 2024

Language: Английский

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Spatio-Temporal Dynamic of the Land Use/Cover Change and Scenario Simulation in the Southeast Coastal Shelterbelt System Construction Project Region of China

Sustainability, Journal Year: 2022, Volume and Issue: 14(14), P. 8952 - 8952

Published: July 21, 2022

The National Coastal Shelterbelt System Construction Project (NCSSCP) was proposed to increase the afforestation area and neutralize impact of urbanization, especially in southeast coastal sub-region China. In this study, we identified spatio-temporal evolution characteristics predicted land use cover changes (LUCC) associated with project by modeling scenarios, seeking explore path sustainable development. spatial structure analyzed using landscape pattern index approach transfer matrix. By coupling Markov model patch-generating a land-use simulation (PLUS), different scenarios were predict quantity changes. According results, based on current trends due forest decrease 633.19 km2, whilst appearing more spatially fragmented separated. However, completion NCSSCP target, 1666.12 would appear cohesive concentrated. From an overall perspective, target will not be completed under present trend. It is difficult for speed keep up urbanization. Therefore, giving consideration both quality reducing urbanization balance economy ecology beneficial terms realization aims

Language: Английский

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Interpreting regional ecological security from perspective of ecological networks: a case study in Ningxia Hui Autonomous Region, China

Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(24), P. 65412 - 65426

Published: April 21, 2023

Language: Английский

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Progress of Mine Land Reclamation and Ecological Restoration Research Based on Bibliometric Analysis

Sustainability, Journal Year: 2023, Volume and Issue: 15(13), P. 10458 - 10458

Published: July 3, 2023

The mining of mineral resources has caused serious damage to land and significant pressure on ecological environment. During the repairing damaged degraded ecosystems, there have been many pieces literature related reclamation restoration (LRER) that emerged. To understand progress prospect LRER research, it is necessary sort out such literature, analyze current research status, forecast future directions. Here, Bibliometrix R-package was used 2357 articles, which were derived from core database Web Science, explore development 1990 2022. results are as follows. (1) annual scientific output show both number articles published annually citied increasing gradually (2) High-frequency keyword analysis indicates heavy metal (Cd, Pb) pollution remediation a hotspot. cluster (CA) multiple correspondence (MCA) two clusters in LRER, one surrounds other focuses areas. correspond (rehabilitation) stages stepwise restoration, respectively. Thematic evolution shows that, for more than 30 years, mine drainage treatment, soil reconstruction (soil profile reconstruction, improvement), vegetation focus research. (3) Future should relationship between carbon sequestration biodiversity In addition, technology exchange, international cooperation, industrialization also main directions development. Generally, this study, metrology software (Bibliometrix 3.1.4) relevant over past years so provide reference LRER.

Language: Английский

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Evaluating urban development in China's resource-based cities: a new perspective using nighttime light data

International Journal of Digital Earth, Journal Year: 2024, Volume and Issue: 17(1)

Published: May 8, 2024

Understanding the urbanization and transformation trajectories of resource-based cities (RBCs) is pivotal for China's sustainable development goals. This study introduces a novel regression-based algorithm assessing patterns. We delineated urban boundaries 335 employed time-series nighttime light data from 2001 to 2020, shifting analysis pixel-scale an urban-scale perspective. Our reveals distinct disparities within 125 RBCs when compared national average, leading their categorization. The key findings include: (1) Within Forest Coal RBCs, numerous areas have stabilized after experiencing contraction. Geographically, significant number in Northeast, North, Northwest regions are or experienced substantial shrinkage. developmental status exhibits spatial positive correlation. (2) Although government categorized based on level 2013, suggest that this classification may no longer accurately reflect current context urbanization. (3) Utilizing spectral clustering, we into five types, identified 10 undergoing shrinkage 30 trending towards stabilization post-shrinkage. research offers refined evaluative method urbanization, providing insights beneficial policy-making concerning RBCs' growth..

Language: Английский

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