National-scale 10-m maps of cropland use intensity in China during 2018–2023

Scientific Data, Journal Year: 2024, Volume and Issue: 11(1)

Published: June 26, 2024

Abstract The amount of actively cultivated land in China is increasingly threatened by rapid urbanization and rural population aging. Quantifying the extent changes active cropland cropping intensity crucial to global food security. However, national-scale datasets for smallholder agriculture are limited spatiotemporal continuity, resolution, precision. In this paper, we present updated annual Cropland Use Intensity maps (China-CUI10m) with descriptions fallow/abandoned, cropped fields at a 10-m resolution recent six years (2018–2023). dataset produced robust algorithms no requirements regional adjustments or intensive training samples, which take full advantage Sentinel-1 (S1) SAR Sentinel-2 (S2) MSI time series. China-CUI10m have achieved high accuracy when compared ground truth data (Overall = 90.88%) statistical (R 2 > 0.94). This paper provides trends abandonment agricultural intensification China, contributes facilitating geographic-targeted use control policies towards sustainable systems developing countries.

Language: Английский

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

Agricultural Systems, Journal Year: 2025, Volume and Issue: 226, P. 104308 - 104308

Published: March 9, 2025

Language: Английский

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Multifunctional evaluation and multiscenario regulation of non-grain farmlands from the grain security perspective: Evidence from the Wuhan Metropolitan Area, China

Land Use Policy, Journal Year: 2024, Volume and Issue: 146, P. 107322 - 107322

Published: Aug. 30, 2024

Language: Английский

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The impact of social capital spatial structure and village collective action participation on farmland conservation behavior among farmers: evidence from three provinces of Northwest China

Cogent Food & Agriculture, Journal Year: 2025, Volume and Issue: 11(1)

Published: Jan. 20, 2025

Language: Английский

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The Water–Soil Resource Matching Pattern of Grain Crops in the North China Plain from the Perspective of the Physical Water–Water Footprint

Land, Journal Year: 2025, Volume and Issue: 14(2), P. 295 - 295

Published: Jan. 31, 2025

The agricultural water–soil matching coefficient is a key factor for reflecting regional grain production status, which can be used to evaluate the reasonableness of allocation in certain areas. Taking North China Plain (NCP) as study area, this study, we constructed framework from “physical water–water footprint” standpoint. binary characteristics “water–soil–grain” were then analyzed, and method was employed pattern years 1984, 1998, 2003, 2022. Through perspective physical footprint coupling, field trials utilized calculate range coefficients under high yields. results showed following: ① From 1949 2022, yield planting areas increased. Wheat, dominant crop, required substantial irrigation. Precipitation, cultivated land, irrigation water exhibited spatial mismatches over last ten years. ② total an increasing trend, blue accounted 19.47%. distribution land footprints crops largely overlapped, their values higher central southern regions, lower north. ③ current [0.28, 1.75], fell outside optimal [0.534, 0.724]. soil–water wheat rice overall than those other crops. We found southwestern region northern areas, aligns with boundary groundwater funnel area. To address identified challenges, recommend implementing tiered regulatory zone system based on coefficient. government should encourage reduction water-intensive like high-value regions by providing subsidies. Additionally, monitoring mechanism soil compatibility established, considering specific growth requirements various

Language: Английский

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Establishment of critical nitrogen-concentration dilution curves based on leaf area index and aboveground biomass for drip-irrigated spring maize in Northeast China

The Crop Journal, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

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Cropping and Transformation Features of Non-Grain Cropland in Mainland China and Policy Implications

Land, Journal Year: 2025, Volume and Issue: 14(3), P. 561 - 561

Published: March 7, 2025

The decrease in grain plantation areas poses a growing concern for global food security. China, with its large population, increasingly diversified demands, and relatively small cultivated lands, has suffered deeply from this phenomenon (non-grain production, NGP) recent years. Since 2020, the central government of China claimed to deal problem by attracting agriculturalists organizations involved plantation. In context, understanding NGP national situation is vital policy making. Remote sensing regarded as most effective accurate method purpose, but existing studies have mainly focused on algorithms operating at local scale or exploring grain-producing capability perspective agricultural space. As such, characterization remains deficient. study, we tried bridge gap through spatio-analysis newly published nationwide crop pattern land use geo-datasets; quantitative, spatial, structural features, well utilization cropland year 2019, were observed. results showed that about 60% was used non-grain About 15% parcels grains least three times past 4 years, these 40% double- single-season plantation, respectively, which could result 16–22% increase grain-sown area compared 2019. Forest grassland dominant non-cropping categories transferred into, indicating more time economic cost regaining grains. also presented spatio-heterogeneity regarding cropping intensity transformation. Parcels double-season mostly emerged northern, central, southern provinces, while those always located northeastern western provinces. into forest appeared Inner Mongolia, northern continued cropping. According results, propose remediation policies focusing raising provinces due their advantages water, heat, terrain, change features. Future work warranted based study’s deficiencies uncertainties. forerunner, study provides holistic observation mainland scale, findings can inform improvements concerning production security China.

Language: Английский

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A robust framework for mapping complex cropping patterns: The first national-scale 10 m map with 10 crops in China using Sentinel 1/2 images

ISPRS Journal of Photogrammetry and Remote Sensing, Journal Year: 2025, Volume and Issue: 224, P. 361 - 381

Published: April 18, 2025

Language: Английский

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Dietary habits and complex food relations in Northwest China: a population-based network analysis

BMJ Nutrition Prevention & Health, Journal Year: 2025, Volume and Issue: unknown, P. bmjnph - 001153

Published: April 30, 2025

Introduction This study examines dietary network in Northwest China, focusing on food group consumption and regional trends using analysis. Methods Data from 106 424 participants the Regional Ethnic Cohort Study were calculated a semiquantitative frequency questionnaire. We compared intake with 2022 Chinese Dietary Guidelines employed EBICglasso method to construct staple food-related network, assessing its stability accuracy. Results China’s was 37.5% of total consumption, dominated by wheat. Compared guidelines, participants’ foods, soybeans nuts within acceptable range, insufficient whole grains beans, animal source eggs, fruits vegetables but excessive salt. Intake varied province, sex age. In overall participants, strongest correlations found between two groups, namely (0.33), foods dairy products (0.24) network. Soybeans appeared connect more other also higher correlation followed food. The indicated that rice, potatoes positively correlated most while wheat negatively food, milk products. Conclusions diet exhibits irrational patterns, highlighting importance patterns nutritional evaluation.

Language: Английский

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Identification of Interannual Variation Frequency of Cropland Cropping Intensity Based on Remote Sensing Spatiotemporal Fusion and Crop Phenological Rhythm: A Case Study of Zhenjiang, Jiangsu

Agriculture, Journal Year: 2025, Volume and Issue: 15(9), P. 1004 - 1004

Published: May 6, 2025

The scientific evaluation of cropland resource utilization efficiency is crucial for ensuring food security and promoting sustainable agricultural development. At present, the research on resources primarily focuses multiple cropping index intensity, but these data are insufficient to reveal long-term trends potential future changes in crop production. To fill this knowledge gap, study took Zhenjiang City, Jiangsu Province, as a case proposed method determine distribution spatiotemporal change frequency single- double-season patterns using fusion phenological rhythm. By combining Sentinel-2 NDVI MOD13Q1 satellite data, dataset with 10 m resolution was developed show interannual three area. accuracy revealed that intensity exhibited good verification accuracy, an average overall Kappa coefficient 81.53% 0.68, respectively. This provides essential support government agencies assess production develop policies improving use efficiency.

Language: Английский

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