Understanding the Spatiotemporal Dynamics and Influencing Factors of the Rice–Crayfish Field in Jianghan Plain, China DOI Creative Commons

Fang Luo,

Yiqing Zhang, Xiang Zhao

и другие.

Remote Sensing, Год журнала: 2024, Номер 16(9), С. 1541 - 1541

Опубликована: Апрель 26, 2024

The rice–crayfish co-culture system, a representative of Agri-aqua food systems, has emerged worldwide as an effective strategy for enhancing agricultural land use efficiency and boosting sustainability, particularly in China Southeast Asia. Despite its widespread adoption China’s Jianghan Plain, the exact spatiotemporal dynamics factors influencing this practice region are yet to be clarified. Therefore, understanding fields (RCFs) is crucial promoting optimizing policies. In study, we identified spatial distribution RCF using Sentinel-2 images data analyze during period 2016–2020. Additionally, used Multiscale Geographically Weighted Regression model explore key RCF’s changes. Our findings reveal that (1). area Plain expanded from 1216.04 km2 2429.76 between 2016 2020, marking 99.81% increase. (2). evolved toward more contiguous clustered pattern, suggesting clear industrial agglomeration area. (3). expansion RCFs was majorly influenced by landscape local conditions. Significantly, Aggregation Landscape Shape Indexes positively impacted expansion, whereas proximity rural areas towns had negative impact. This study provides solid foundation system sustainably developing related industries. To ensure sustainable development industries recommend governments optimize layout settlements, improve transportation infrastructure, enhance regional water sources irrigation construction, all line with national revitalization village planning. concentration contiguity through consolidation can achieve efficient these

Язык: Английский

Spatiotemporal variation in determinants of cropland abandonment across Yangtze River Economic Belt, China DOI
Hang Chen,

Yongzhong Tan,

Wu Xiao

и другие.

CATENA, Год журнала: 2024, Номер 245, С. 108326 - 108326

Опубликована: Авг. 25, 2024

Язык: Английский

Процитировано

3

Evaluation of the efficiency and drivers of complemented cropland in Southwest China over the past 30 years from the perspective of cropland abandonment DOI
Dan Lu, Zhanpeng Wang, Xinxin Li

и другие.

Journal of Environmental Management, Год журнала: 2023, Номер 351, С. 119909 - 119909

Опубликована: Дек. 28, 2023

Язык: Английский

Процитировано

9

Patterns and drivers of terrace abandonment in China: Monitoring based on multi-source remote sensing data DOI
Dan Lu, Kangchuan Su, Zhanpeng Wang

и другие.

Land Use Policy, Год журнала: 2024, Номер 148, С. 107388 - 107388

Опубликована: Окт. 21, 2024

Язык: Английский

Процитировано

2

Multi-scenario comparisons to identify the spatial distribution, land type, and effectiveness of cultivated land restoration in the main grain-producing area DOI

Kunyu Liang,

Xiaobin Jin,

Shilei Wang

и другие.

Habitat International, Год журнала: 2024, Номер 154, С. 103211 - 103211

Опубликована: Ноя. 12, 2024

Язык: Английский

Процитировано

2

Identifying and quantifying local uncertainty and discrepancy in the comparison of global cropland extent through a synergistic approach DOI
Xiaojie Liu, Xiaobin Jin,

Xiuli Luo

и другие.

Applied Geography, Год журнала: 2023, Номер 162, С. 103164 - 103164

Опубликована: Дек. 2, 2023

Язык: Английский

Процитировано

5

One-third of cropland within protected areas could be retired in China for inferior sustainability and effects DOI
Runjia Yang, Wu Xiao, Yanmei Ye

и другие.

The Science of The Total Environment, Год журнала: 2023, Номер 905, С. 167084 - 167084

Опубликована: Сен. 19, 2023

Язык: Английский

Процитировано

4

Improved Cropland Abandonment Detection with Deep Learning Vision Transformer (DL-ViT) and Multiple Vegetation Indices DOI Creative Commons
Mannan Karim, Jiqiu Deng, Muhammad Ayoub

и другие.

Land, Год журнала: 2023, Номер 12(10), С. 1926 - 1926

Опубликована: Окт. 16, 2023

Cropland abandonment is a worldwide problem that threatens food security and has significant consequences for the sustainable growth of economy, society, natural ecosystem. However, detecting mapping abandoned lands challenging due to their diverse characteristics, like varying vegetation cover, spectral reflectance, spatial patterns. To overcome these challenges, we employed Gaofen-6 (GF-6) imagery in conjunction with Vision Transformer (ViT) model, harnessing self-attention multi-scale feature learning significantly enhance our ability accurately efficiently classify land covers. In Mianchi County, China, study reveals approximately 385 hectares cropland (about 2.2% total cropland) were between 2019 2023. The highest annual occurred 2021, 214 hectares, followed by 170 primary reason was transformation into excavation activities, barren lands, roadside greenways. ViT’s performance peaked when multiple indices (VIs) integrated GF-6 bands, resulting achieved results (F1 score = 0.89 OA 0.94). Our represents an innovative approach integrating ViT 8 m multiband composite precise identification analysis short-term patterns, marking distinct contribution compared previous research. Moreover, findings have broader implications effective use management, resource optimization, addressing complex challenges field.

Язык: Английский

Процитировано

4

Responses of soil microbial biomass carbon and microbial entropy to soil properties in typical sloping croplands of China under erosion conditions DOI
Yuan Li, Shengzhao Wei, Hongna Wang

и другие.

European Journal of Soil Biology, Год журнала: 2024, Номер 122, С. 103660 - 103660

Опубликована: Авг. 12, 2024

Язык: Английский

Процитировано

1

Spatiotemporal nonlinear characteristics and threshold effects of China's water resources DOI
Youzhu Zhao, Luchen Wang, Qiuxiang Jiang

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 373, С. 123633 - 123633

Опубликована: Дек. 6, 2024

Язык: Английский

Процитировано

1

Understanding the Spatiotemporal Dynamics and Influencing Factors of the Rice–Crayfish Field in Jianghan Plain, China DOI Creative Commons

Fang Luo,

Yiqing Zhang, Xiang Zhao

и другие.

Remote Sensing, Год журнала: 2024, Номер 16(9), С. 1541 - 1541

Опубликована: Апрель 26, 2024

The rice–crayfish co-culture system, a representative of Agri-aqua food systems, has emerged worldwide as an effective strategy for enhancing agricultural land use efficiency and boosting sustainability, particularly in China Southeast Asia. Despite its widespread adoption China’s Jianghan Plain, the exact spatiotemporal dynamics factors influencing this practice region are yet to be clarified. Therefore, understanding fields (RCFs) is crucial promoting optimizing policies. In study, we identified spatial distribution RCF using Sentinel-2 images data analyze during period 2016–2020. Additionally, used Multiscale Geographically Weighted Regression model explore key RCF’s changes. Our findings reveal that (1). area Plain expanded from 1216.04 km2 2429.76 between 2016 2020, marking 99.81% increase. (2). evolved toward more contiguous clustered pattern, suggesting clear industrial agglomeration area. (3). expansion RCFs was majorly influenced by landscape local conditions. Significantly, Aggregation Landscape Shape Indexes positively impacted expansion, whereas proximity rural areas towns had negative impact. This study provides solid foundation system sustainably developing related industries. To ensure sustainable development industries recommend governments optimize layout settlements, improve transportation infrastructure, enhance regional water sources irrigation construction, all line with national revitalization village planning. concentration contiguity through consolidation can achieve efficient these

Язык: Английский

Процитировано

0