Spatiotemporal Variation of Water Use Efficiency and Its Responses to Climate Change in the Yellow River Basin from 1982 to 2018

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(2), P. 316 - 316

Published: Jan. 17, 2025

The ecosystem water use efficiency (WUE) plays a critical role in many aspects of the global carbon cycle, management, and ecological services. However, response mechanisms driving processes WUE need to be further studied. This research was conducted based on Gross Primary Productivity (GPP), Evapotranspiration (ET), meteorological station data, land use/cover methods Ensemble Empirical Mode Decomposition (EEMD), trend variation analysis, Mann–Kendall Significant Test (M-K test), Partial Correlation Analysis (PCA) methods. Our study revealed spatio-temporal its influencing mechanism Yellow River Basin (YRB) compared differences change before after implementation Returned Farmland Forestry Grassland Project 2000. results show that (1) YRB showed significant increase at rate 0.56 × 10−2 gC·kg−1·H2O·a−1 (p < 0.05) from 1982 2018. area showing (47.07%, Slope > 0, p higher than with decrease (14.64%, 0.05). region 2000–2018 (45.35%, 1982–2000 (8.23%, 0.05), which 37.12% comparison. (2) Forest (1.267 gC·kg−1·H2O) Cropland (0.972 (0.805 under different cover types. has highest (0.79 gC·kg−1·H2O·a−1) 2000 increased by 0.082 gC·kg−1·H2O (3) precipitation (37.98%, R SM (10.30%, are main climatic factors affecting YRB. A total 70.39% exhibited an increasing trend, is mainly attributed simultaneous GPP ET, ET. could provide scientific reference for policy decision-making terrestrial cycle biodiversity conservation.

Language: Английский

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Monitoring of Cropland Non-Agriculturalization Based on Google Earth Engine and Multi-Source Data

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(3), P. 1474 - 1474

Published: Jan. 31, 2025

Cropland is fundamental to food security, and monitoring cropland non-agriculturalization through satellite enforcement can effectively manage protect cropland. However, existing research primarily focuses on optical imagery, there are problems such as low data processing efficiency long updating cycles, which make it difficult meet the needs of large-scale rapid monitoring. To comprehensively accurately obtain change information, this paper proposes a method based Google Earth Engine (GEE) cloud platform, combining imagery synthetic aperture radar (SAR) for quick accurate detection non-agriculturalization. The uses land-use/land cover (LULC) products quickly update mapping, employs vector analysis (CVA) detecting non-agricultural changes in cropland, introduces vegetation indices remove pseudo-changes. Using Shanwei City, Guangdong Province, case study, results show that (1) map generated study aligns well with actual distribution achieving an accuracy 90.8%; (2) compared using alone, combined SAR improves by 22.7%, overall 73.65%; (3) past five years, followed pattern initial increase decrease. provide technical reference large scale, so promote protection rational utilization

Language: Английский

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Cropland Loss Under Different Urban Expansion Patterns in China (1990–2020): Spatiotemporal Characteristics, Driving Factors, and Policy Implications

Land, Journal Year: 2025, Volume and Issue: 14(2), P. 343 - 343

Published: Feb. 8, 2025

It is well established that China’s rapid urban expansion has led to a substantial loss of cropland. However, few studies have examined how different patterns contribute cropland consumption, which hindered the formulation sustainable development and protection policies. To fill this gap, we analyzed occupation under three (leap-frogging, edge-spreading, interior filling) in China from 1990 2020, using long-term land use data. The dominant driving forces were then explored XGBoost model SHAP values. Our findings indicate 2020 resulted 6.3% reduction cropland, with edge-spreading (4.0%) contributing most, followed by leap-frogging (2.1%) filling (0.2%). Change intensity (CUI) proved be most critical driver loss, values 0.38, 0.28, 0.37 for leap-frogging, filling, respectively. Over time, evolved single demographic-economic dominance more diversified integrated set drivers. Based on these findings, propose tailored planning policies patterns; regions dominated stricter controls boundaries stronger constraints are required. For prominent expansion, efforts should made improve internal efficiency while preserving existing spaces. In characterized further optimization construction allocation needed reduce productive suburban These not only offer new empirical evidence understanding interplay between conservation but also provide transferable insights can inform land-use strategies other rapidly urbanizing facing similar challenges.

Language: Английский

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Spatiotemporal evolution of land use carbon emissions and multi scenario simulation in the future-Based on carbon emission fair model and PLUS model

Environmental Technology & Innovation, Journal Year: 2025, Volume and Issue: unknown, P. 104087 - 104087

Published: Feb. 1, 2025

Language: Английский

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Exploring How Human‐Land Conflict Affects Cropland Fragmentation

Land Degradation and Development, Journal Year: 2025, Volume and Issue: unknown

Published: March 17, 2025

ABSTRACT Arable land is vital to agriculture, and studying cropland fragmentation key for sustainable resource use. However, research has largely ignored the dynamic nature of this fragmentation, focusing instead on static farmland patterns. This study proposed eight spatial models dynamics, assessed their distribution evolution in Yellow Huaihai grain‐producing regions from 2010 2020, investigated underlying drivers. It was found that (1) although area showed an increasing trend rate increase gradually weakened, southeast coastal region higher than northwest inland region. (2) LPI↑PD↑LSI↓ mode cropland, as main area, widely distributed Shandong Henan Provinces, well Jiangsu Province. (3) Except LPI↓PD↑LSI↑ model, drivers its are population density mechanization level, while model natural endowment factors such topographic relief. The findings emphasize need curb promote concentration connectivity cropland.

Language: Английский

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Spatiotemporal pattern and driving factors of atmospheric CO2 concentrations based on satellite remote sensing from 2001 to 2022 in central Yunnan plateau

Ecological Indicators, Journal Year: 2025, Volume and Issue: 173, P. 113371 - 113371

Published: March 22, 2025

Language: Английский

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Grain Self-Sufficiency in Guangdong, China: Current Trends and Future Perspectives

Foods, Journal Year: 2025, Volume and Issue: 14(7), P. 1126 - 1126

Published: March 25, 2025

The rising number of disturbances caused by natural hazards, epidemics, and international conflicts seriously threatens global agriculture food systems. In order to combat the increasing uncertainty, Chinese government proposed a "dual circulation" strategy, which puts forward new requirement promoting self-sufficiency. Among various categories, grain serves as cornerstone for sustaining human life during public crises. Guangdong Province is one most economically developed highly densely populated regions in China; therefore, it faces significant pressure enhance security. This study investigates spatial temporal patterns rate self-sufficiency (RSSG) at county levels from 2014 2023. findings reveal following: (1) rice remains predominant crop, with its sown area production consistently accounting over 75%; (2) RSSG 28.14% on average, lower than governmental goal 30%; (3) has regional disparities distinct agglomeration patterns; (4) scenario simulations indicate that yield improvement loss reduction have potential promote 34.14%. Based research findings, this paper proposes following policy recommendations: prioritize farmland preservation implement "storing land" strategy ensure supply; adopt advanced agricultural technologies under technology" improve yield; reduce strengthening disaster prevention, improving storage management, enhancing efficiency; strengthen interdepartmental coordination. integrated application these strategies will help self-sufficiency, security, contribute achievement national security goals.

Language: Английский

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Analysis of Cultivated Land Productivity in Southern China: Stability and Drivers

Land, Journal Year: 2025, Volume and Issue: 14(4), P. 708 - 708

Published: March 26, 2025

Owing to climate change and increasing resource competition, elucidating the control mechanism of cultivated land productivity stability is essential. Previous research has focused on anthropogenic or climatic factors individually, overlooking their combined effects; therefore, “climate–anthropogenic” framework was constructed. Net primary (NPP) employed measure investigate impact in Poyang Lake from 2001 2022. Results revealed that NPP increased but fluctuated significantly higher southern than north. The low spatial distribution fluctuation area concentrated periphery Lake, riverbank comprised middle high areas, Ganjiang River Delta exhibited fluctuation. Multiple linear regression analysis indicated positively impacted by farmland river proximity average patch fractal dimension affected negatively annual precipitation. Stable production improved utilization efficiency requires irrigation drainage system optimization adaptability change. Moreover, fragmentation should be reduced, resilience external disturbances enhanced.

Language: Английский

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The impact of land acquisition for cooperative housing development on the land environment in Woldia Town, Ethiopia

Environmental Challenges, Journal Year: 2024, Volume and Issue: 17, P. 101006 - 101006

Published: Sept. 6, 2024

Language: Английский

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Analysis of the Spatial-Temporal Characteristics and Driving Factors of Cultivated Land Fragmentation Under the Expansion of Urban and Rural Construction Land: A Case Study of Ezhou City

Land, Journal Year: 2024, Volume and Issue: 13(11), P. 1905 - 1905

Published: Nov. 13, 2024

A systematic understanding of the spatial-temporal evolution patterns cultivated land fragmentation (CLF), its driving factors, and relationship with expansion urban rural construction is essential for identifying strategies to mitigate CLF in rapidly urbanizing regions. This study combined landscape ownership fragmentation, analyzing through three dimensions: resource endowment, spatial concentration, convenience utilization, eight selected indicators. By comparing village-level data from 2013 2022, we explored key drivers conflicts expansion. The findings indicate a clear variation Ezhou, characterized by low northwest northeast, high southwest central pattern contrast Ezhou’s economic development, which decreased progressively east north south. Over period, Ezhou evolved being primarily moderately relatively severely fragmented predominantly fragmented, an overall declining trend more pronounced polarization. At same time, within village region demonstrated notable clustering features, rapid increase observed between 2022. It was also discovered that driven various main influences proportion land, use intensity, population density. Cultivated source both (UCL) (RCL), average contribution rates 46.47% 62.62%, respectively. research offers empirical evidence urbanization serves as critical reference revitalization coordinated urban–rural potential guidance future policy formulation implementation.

Language: Английский

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