Changing soil characteristics as affected by different land uses in a humid region, west of Iran DOI Creative Commons

Pariya Heidari,

Mohammad Feizian

EURASIAN JOURNAL OF SOIL SCIENCE (EJSS), Journal Year: 2024, Volume and Issue: 14(1), P. 9 - 21

Published: Sept. 30, 2024

Land use change, mostly from forest to conventional agriculture, has a detrimental impact on soil health and production. However, the of such LUC biological characteristics is unknown. This study aimed evaluate some physicochemical properties with varied land uses in southwestern Khorramabad area. The research locations comprised diverse types including coniferous forest, broadleaf farmland, rangeland. According findings, there was no significant variation bulk density (ρb) at 33 kPa (ρb33) for various uses, but difference between different layers. amount clay silt varies dramatically across uses. quantity sand used did not differ significantly usage (p Farmland (0.05%)> (0.03%). findings also suggested that microbial respiration considerably declined all as shifted pasture farmland. Notably, farmland includes greatest population fungi, bacteria, actinomycetes, other

Language: Английский

Assessment of climatic influences on net primary productivity along elevation gradients in temperate ecoregions DOI Creative Commons
Kaleem Mehmood, Shoaib Ahmad Anees,

Akhtar Rehman

et al.

Trees Forests and People, Journal Year: 2024, Volume and Issue: 18, P. 100657 - 100657

Published: Aug. 20, 2024

Language: Английский

Citations

17

Methodology for Measuring Mobility Emissions with High Spatial Resolution: Case Study in Valencia, Spain DOI Creative Commons
Carmen Garcı́a, María Joaquina Porres, Eloína Coll Aliaga

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(2), P. 669 - 669

Published: Jan. 11, 2025

Climate change is a major global issue because transportation source of pollutants and greenhouse gases that affect human health air quality. However, to effectively prioritize fund mitigating actions, decision-makers lack scientific rigor diagnoses with sufficient spatial resolution. Based on the Origin-Destination Matrix (ODM), this study suggests methodology measure identify mobility emissions (CO2, Nox, PM) at neighborhood level high Testing was performed in Valencia, Spain. Even though many studies calculate carbon footprint, few make use precise geographic information openly accessible data, they frequently concentrate entire cities rather than smaller areas. To determine all potential routes for each (OD) trip, process uses geostatistics estimate daily trip activity data (kilometers traveled). The COPERT calculator from European Union used analyze these total distance traveled per neighborhood. road infrastructure, determines which neighborhoods receive creates measures equitable environmental responsibility. It also identifies short trips might be replaced by cycling or walking, as well possible improvements public transportation.

Language: Английский

Citations

0

Decoupling and peak prediction of industrial land carbon emissions in East China for developing countries’ prosperous regions DOI Creative Commons
Chenfei Zhang,

Xiaoyu Ren,

Weijun Zhao

et al.

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

Published: Feb. 20, 2025

Urban energy consumption is mostly concentrated in industrial regions, and carbon emissions from land use have significantly increased as a result of fast urbanization industrialization. In the battle against climate change, affluent regions developing countries are increasingly being used models for reducing emissions. Therefore, order to accomplish global sustainable development, it crucial understand how decoupled wealthy areas rising nations. This study investigates decoupling effects factors influencing them six East Chinese provinces one city between 2005 2020 using Tapio model LMDI decomposition approach. At same time, 2021 2035 were predicted BP neural network combined with scenario analysis. The findings indicate that: (1) From 29.921 million tons 40.2843 2020, China area nearly doubled. Of these, Shandong Jiangsu emit more than half region's total around China. (2) effect analysis shows trajectory's phased characteristics, degree gradually increasing weak (2006-2012) strong (2013-2018) finally negative (2019-2020). (3) primary causes rise region scale per capita economic output use. (4) overall peak time roughly distributed 2028 2032. It expected that Shanghai, Shandong, Jiangsu, Zhejiang will be among first achieve emission peak.

Language: Английский

Citations

0

Quantifying the Provincial Carbon Emissions of China Embodied in Trade: The Perspective of Land Use DOI Creative Commons

Qiqi Wu,

J. Meng, C. H. Yang

et al.

Land, Journal Year: 2025, Volume and Issue: 14(4), P. 753 - 753

Published: April 1, 2025

Land use supports production and living activities provides ecosystem services for people. With the flow of capital, goods, among regions, trade leads to transfer carbon emissions from importing regions exporting this is telecoupled with land systems in different regions. Although significant progress has been made quantifying embodied induced by interprovincial international trade, telecoupling relationship between not sufficiently investigated. Here we followed theoretical framework used multi-region input–output (MRIO) model examine spatial pattern China due trade. The results show that patterns end consumption are based on type. provinces rich energy resources favorable conditions such as Inner Mongolia, Xinjiang, Heilongjiang undertake agricultural industrial other provinces. In contrast, large economies but scarce Zhejiang Guangdong export larger portions their Across China, developed generally exported more than they developing was prominent eastern western were transferred southern northern areas. Our research reveals types, these findings could provide detailed information policy-making processes achieve fair sustainable use.

Language: Английский

Citations

0

Examining the Social Costs of Carbon Emissions and the Ecosystem Service Value in Island Ecosystems: An Analysis of the Zhoushan Archipelago DOI Open Access
Qian Zhou,

Feng Gui,

Benxuan Zhao

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(2), P. 932 - 932

Published: Jan. 22, 2024

Assessments of the ecosystem service value (ESV) and social cost carbon (SCC) inform national government management decisions in areas human well-being climate change mitigation adaptation, respectively. Studying correlation between two provides a theoretical basis for low-carbon high-quality regional development, achieving economic decarbonization, improving well-being. In this study, we take Zhoushan Archipelago as case consider ESV SCC during period 2010–2020, analyze their spatial development characteristics, time space. The findings indicate that, with only 1.5% change, overall fell 2010 2020. Conversely, there was 1604.01 × 104 t increase net emissions quick 2452% SCC. During study period, substantial positive association found Archipelago, according to global analysis variables. It passed test p-value. This presents new potential way solve environmental difficulties caused by providing mechanism quantitatively assessing environment from perspective monetary worth. order improve ecological security pattern ease burden emissions, it is vital make use advantages, maintain forests, develop blue-carbon resources such mudflats. good idea cooperate regionally nearby metropolitan agglomerations. study’s are crucial advancing sustainable planning both theoretically practically.

Language: Английский

Citations

3

Quantifying high-resolution carbon emissions driven by land use change in the Guangdong-Hong Kong-Macao Greater Bay Area DOI
Yanpeng Cai,

Shenglan Su,

Pan Zhang

et al.

Urban Climate, Journal Year: 2024, Volume and Issue: 55, P. 101943 - 101943

Published: April 25, 2024

Language: Английский

Citations

3

Spatial-Temporal Evolution of Agricultural Carbon Balance at Township Scale and Carbon Compensation Zoning: A Case Study of Guangshui City, Hubei Province DOI Creative Commons

Zhengkun Yang,

Xuesong Zhang, Xiurong Hu

et al.

Land, Journal Year: 2024, Volume and Issue: 13(6), P. 820 - 820

Published: June 7, 2024

Optimizing agricultural carbon compensation zoning is crucial for establishing robust mechanisms in management, with significant implications achieving national “dual carbon” strategic objectives. This study employs K-means and the three-dimensional magic cube approach to construct a novel evaluation index system comprehensive zoning. By combining spatial land-use zoning, we delineate zones Guangshui City, Hubei Province, analyze spatiotemporal variations of balance, proposing optimization strategies. The results show that (1) from 2000 2021, emissions absorption exhibit trend increasing followed by decreasing, patterns “higher northwest, lower southeast” southwest, northeast”; (2) Gini coefficient averages at 0.24, economic contribution coefficients ecological carrying ranging 0.04–16.1 0.39–1.99, respectively, 2021; (3) City comprises seven payment zones, four balance six ultimately forming eight optimized alignment regional provides theoretical references enhancing county-level management mechanisms.

Language: Английский

Citations

3

Contributing to Carbon Neutrality Targets: A Scenario Simulation and Pattern Optimization of Land Use in Shandong Province Based on the PLUS Model DOI Open Access

Xiang-Yi Ma,

Yifan Xu, Qian Sun

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(12), P. 5180 - 5180

Published: June 18, 2024

Land use profoundly impacts the sustainable development of ecological environment. Optimizing land patterns is a vital approach to mitigate climate change and achieve carbon neutrality. Using Shandong Province as case study, this research evaluates cover (LUCC) on regional storage emissions. Employing coupled PLUS–InVEST–GM(1,1) model, simulations were conducted for scenarios including natural scenario (NS), cropland protection (CPS), high-speed (HDS), low-carbon (LCS), assess LUCC changes in emissions from 2030 2060 under these scenarios. The findings indicate that due expansion construction significant declines arable grassland areas, increased by 40,436.44 × 104 t over 20-year period, while decreased 4881.13 t. Notably, forests contributed most sequestration, emerged primary source Simulating four demonstrates measures such protecting cropland, expanding forest, grassland, aquatic controlling expansion, promoting intensive positively affect emission reductions sequestration Shandong. These underscore importance rational planning patterns, which can enhance contributions neutrality harmonizing relationships among protection, conservation, economic development.

Language: Английский

Citations

2

Simulation and Prediction of Land Use Change and Carbon Emission under Multiple Development Scenarios at the City Level: A Case Study of Xi’an, China DOI Creative Commons

R. B. Bian,

Anzhou Zhao,

Lidong Zou

et al.

Land, Journal Year: 2024, Volume and Issue: 13(7), P. 1079 - 1079

Published: July 17, 2024

Studying urban land use and its impact on carbon emissions is crucial for achieving China’s dual goals. This research utilized the Shared Socio-economic Pathways (SSPs) scenarios 126, 245, 585 from Sixth International Coupled Model Intercomparison Project (CMIP6), along with a coupled System Dynamics (SD) Patch-generating Land Use Simulation (PLUS) model emission coefficient method to simulate predict Xi’an’s 2020 2040. The results indicate following: (1) Cultivated forest lands are predominant types in Xi’an, cultivated grassland areas projected decline under all three SSP by most significant expansion of construction land, primarily at expense farmland, SSP585 scenario, an increase 515.92 km2 (2) increased 414.15 × 104 t 2000 2376.10 2020, being primary source serving as main sink. However, sink capacity remained low only 21.38 2020. (3) Carbon expected continue increasing through 2030 2040, though decreasing rate. SSP126 scenario predicts lowest emissions, reaching 9186.00 while highest 14,935.00 t. findings this study provide theoretical support future low-carbon high-quality development strategies.

Language: Английский

Citations

2

Spatiotemporal Patterns and the Development Path of Land-Use Carbon Emissions from a Low-Carbon Perspective: A Case Study of Guizhou Province DOI Creative Commons
Xiaoping Li, Sai Hu,

Lifu Jiang

et al.

Land, Journal Year: 2023, Volume and Issue: 12(10), P. 1875 - 1875

Published: Oct. 5, 2023

Land-use change and regional carbon emissions are closely related. In-depth research on the mechanism of land-use is conducive for clarifying direction focus future low-carbon construction work. Carbon calculation models were used to calculate total in Guizhou Province reveal their spatiotemporal distribution characteristics. The results as follows. (1) structure underwent a significant from 2009 2019, particular with regard cultivated land. (2) increasing annually, this was related urbanization, population density, energy consumption. (3) There spatial differences emissions, intensity, per capita Province. Additionally, there clusters cities high or low intensity. Therefore, scope constructive proposals concerning sustainable land use development, such controlling amount intensity land, optimizing use, managing rational population, constantly advancing optimization industrial structure, improving relevant policies.

Language: Английский

Citations

5