Unlocking China's grain yield potential: Harnessing technological and spatial synergies in diverse cropping systems

Agricultural Systems, Год журнала: 2025, Номер 226, С. 104308 - 104308

Опубликована: Март 9, 2025

Язык: Английский

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Predicting Land Use Changes under Shared Socioeconomic Pathway–Representative Concentration Pathway Scenarios to Support Sustainable Planning in High-Density Urban Areas: A Case Study of Hangzhou, Southeastern China

Buildings, Год журнала: 2024, Номер 14(7), С. 2165 - 2165

Опубликована: Июль 14, 2024

Amidst the challenges posed by global climate change and accelerated urbanization, structure distribution of land use are shifting dramatically, exacerbating ecological land-use conflicts, particularly in China. Effective resource management requires accurate forecasts cover (LUCC). However, future trajectory LUCC, influenced remains uncertain. This study developed an integrated multi-scenario framework combining system dynamics patch-generating simulation models to predict LUCC high-density urban regions under various Shared Socioeconomic Pathway (SSP)–Representative Concentration (RCP) scenarios. The results showed following: (1) From 2020 2050, cultivated land, unused water projected decrease, while construction is expected increase. (2) Future patterns exhibit significant spatial heterogeneity across three Construction will expand all districts Hangzhou, main areas. Under SSP585 scenario, expansion most significant, it least SSP126 scenario. (3) Distinct factors drive different types. digital elevation model predominant factor for forest grassland, contributing 19.25% 30.76%, respectively. Night light contributes at 13.94% 20.35%, (4) average intensity (LUI) central markedly surpasses that surrounding suburban areas, with Xiacheng having highest LUI Chun’an lowest. area increased significantly smaller than SSP245 These findings offer valuable guidance sustainable planning built environment Hangzhou similarly situated centers worldwide.

Язык: Английский

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Climate change effects on animal presence in the Massaciuccoli Lake basin

Ecological Informatics, Год журнала: 2024, Номер 81, С. 102644 - 102644

Опубликована: Май 16, 2024

Big-data mining approaches based on Artificial Intelligence models can help forecast biodiversity changes before they happen. These predict macroscopic species distribution patterns and trends that inform preventive measures to avoid the loss of ecosystem functions services. They can, therefore, study mitigate climate change implications conservation in fragile ecosystems. Wetlands are particularly ecosystems where poses severe risks has dramatically reduced their size over past century, with profound consequences Through big-data approaches, we future wetland context change. This paper proposes such predictive analysis for a specific wetland: The Massaciuccoli Lake basin Tuscany, Italy. is critical tourist attraction due its rich biodiversity, making it an area interest citizens, tourists, scientists. However, region's suitability native non-native at risk land-use Using machine-learning models, potential effects animal spatial under different greenhouse gas emission scenarios. results suggest habitat generally improved from 1950 today, presumably owing targeted strategies adopted area, but will severely reduce bird by 2050 while favouring several insect species' proliferation other change, even medium-emission scenario. lead significant basin's biodiversity. Our methodology adaptable basins, being fully open data models. spatially explicit modelling used this research provides valuable information policymakers planners, complementing traditional trend analyses.

Язык: Английский

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Concept and Method of Land Use Conflict Identification and Territorial Spatial Zoning Control

Sustainability, Год журнала: 2024, Номер 16(24), С. 11177 - 11177

Опубликована: Дек. 20, 2024

With the intensification of socioeconomic activities and climate change, land use conflicts are becoming more serious, posing major obstacles to sustainable territorial space. This study conducted research on conflict zoning control with a view contributing new ideas for prevention resolution risks. By analyzing positioning drawing upon fundamental theories, novel paradigm was proposed. An empirical in Gan River Basin Jiangxi Province by applying comprehensive evaluation method geographical detector, basin divided into six types zones according intensity hierarchy ecosystem service values. The results showed that areas intense conflict, low weak accounted 1.57%, 29.16% 69.26% area, respectively. Of areas, 4.42% lower were while only 0.37% right bank middle reaches conflict. driving factor analysis precipitation, population density policy planning had greater influence likely occur interaction precipitation nighttime light index, NDVI. superimposed image revealed at junctions urban cropland forests upper basin, which mainly caused demand expansion spread agricultural production areas. this agreement actual situation Basin, proving proposed is scientific applicable. Moreover, we emphasize can be adapted its application different objects continuously improved response evolution spatial management system. positive significance implementation provides basis further enhancement system governance.

Язык: Английский

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Integrated ecological and environmental spatial soft constraint mechanism: Urban multi-objective land use optimization under multiple scenarios

Journal of Environmental Management, Год журнала: 2025, Номер 385, С. 125661 - 125661

Опубликована: Май 6, 2025

Язык: Английский

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Role of urban forestry and informal forest management for heat island mitigations

Elsevier eBooks, Год журнала: 2025, Номер unknown, С. 461 - 480

Опубликована: Янв. 1, 2025

Язык: Английский

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Rural Resilience Assessments in the Yangtze River Delta Based on the DPSIR Model

Sustainability, Год журнала: 2025, Номер 17(10), С. 4725 - 4725

Опубликована: Май 21, 2025

The Yangtze River Delta (YRD) region, located inside the Basin, functions as a vital ecological and economic area in China, with its natural environment directly impacting human existence. This study seeks to elucidate spatial temporal evolution of rural resilience region underlying mechanisms by establishing comprehensive assessment framework for resilience, thereby offering scientific foundation policy guidance region’s sustainable development. research first established DPSIR (driving force–pressure–state–impact–response) index system. Subsequently, entropy weighting method TOPSIS were utilized assess rank levels (Shanghai, Jiangsu, Zhejiang, Anhui) from 2012 2022. Ultimately, partial least squares structural equation modeling (PLS-SEM) was employed examine intrinsic logical relationships among five dimensions extract conclusions. effectively met goals SDG 7 (clean water sanitation), 8 (decent work growth), 11 (sustainable cities communities). indicated that (1) level initially declined, then increased, eventually attained condition stabilization. Changes “driving force”, influenced “response level” environmental “pressure”, have affected areas. There is heterogeneity values ranges change provinces, “impact” component exhibiting most substantial evaluation value. findings yield recommendations implementation diverse regional governance, establishment connectivity mechanisms, customization strategies address specific deficiencies each province, systematic enhancement resilience.

Язык: Английский

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The Temporal Variation and Spatial Scale Dependence of the Trade-Offs and Synergies among Multiple Ecosystem Services in the World Heritage Site of South China Karst

Land, Год журнала: 2024, Номер 13(9), С. 1391 - 1391

Опубликована: Авг. 29, 2024

The World Natural Heritage Sites (WNHSs), which have unique ecosystems, ecological landscapes, and biodiversity, are the common heritage of all humanity. evolutionary pathway ecosystem services (ESs) in Karst WNHS between years 2000 2020 has been examined, trade-offs synergies among ESs quantified. This research serves as a point reference for rational utilization natural resources protection environment within WNHS. aims to assess following WNHS, period 2000–2020: water conservation (WC), soil (SC), carbon sequestration (CS), habitat quality (HQ). Additionally, objective this study is examine space–time evolution these ESs. Spearman’s correlation coefficient spatial auto-correlation analyses were utilized ascertain temporal each ES. results indicate following: (1) Between 2020, inter-annual changes HQ CS at Shibing Libo-Huanjiang exhibited relatively stable pattern, with gradual increasing trend, contrast, WC SC greater fluctuations; (2) distribution closely linked land use patterns, woodland most critical type ESs, contributing ES; (3) population density negatively correlated various services, while GDP positively service; (4) Southern China demonstrates clear significant synergistic relationship CS. primarily characterised by strong effect. weakening trend both areas. Furthermore, demonstrated trade-off relation HQ, CS, WC.

Язык: Английский

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Modeling Urban Expansion and its Impacts on Carbon Storage Through Integrative Scenario Analysis for Sustainable Development in the Changchun-Jilin-Tumen Region

Опубликована: Янв. 1, 2024

Язык: Английский

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Analysis of Driving Factors for Vegetation Ecological Quality Based on Bayesian Network

Forests, Год журнала: 2024, Номер 15(7), С. 1263 - 1263

Опубликована: Июль 19, 2024

Vegetation is a crucial component of ecosystems, and understanding the drivers spatial optimization patterns its ecological quality vital for environmental management in middle reaches Yangtze River Urban Agglomeration. Traditional evaluations employing single indices may not fully capture complexity vegetation elements require evaluation through various indicators. Therefore, this study introduced Multi Criteria Ecological Quality Index (VEQI), coupled with cover function indicators, to explore driving factors identify key areas where declines or improves. By constructing Bayesian network VEQI, we identified variables that influence index. Additionally, delineated zones VEQI. The results indicate VEQI exhibits trend transitioning from low values urban centers high suburban rural areas. Over 20 years, average region ranged 10.85% 94.94%. Slope, DEM, type were as significant while precipitation, temperature, nighttime light considered secondary factors. Notably, Hunan, Jiangxi, Hubei provinces, especially western part pinpointed regions. This research only enhances vegetation’s agglomeration but also provides scientific insights protection vegetation.

Язык: Английский

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