Analysis of the Spatiotemporal Evolution Patterns and Driving Factors of Various Planting Structures in Henan Province Based on Mixed-Pixel Decomposition Methods DOI Open Access
Kun Han, Jingyu Yang, Chao Liu

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(3), P. 1227 - 1227

Published: Feb. 3, 2025

Understanding the spatiotemporal evolution patterns and drivers of cropping structures is crucial for adjusting structure policies, ensuring sustainability land resources, safeguarding food security. However, existing research lacks sub-pixel scale data on planting structure, where planted area are mainly derived from manual counting results. In this study, remote sensing technology was combined with geostatistical methods to realize crop at scale. Firstly, spatial distribution multiple in Henan Province extracted based a mixed-pixel decomposition model, analyzed using combination Sen’s slope estimator Mann–Kendall trend analysis, as well centroid migration. Then, Pearson correlation coefficients were calculated explore contribution driving factors. The results indicate following: (1) 2001 2022, shows slightly obvious increase. (2) different migrates main production areas whole. (3) Among factors, there positive labor force negative urbanization rate. This study provides new insights into large-scale offers significant theoretical practical value sustainable agricultural development optimization structures.

Language: Английский

Spatial optimization of cotton cultivation in Xinjiang: A climate change perspective DOI Creative Commons

Yaqiu Zhu,

Liang Sun,

Qiyou Luo

et al.

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2023, Volume and Issue: 124, P. 103523 - 103523

Published: Oct. 24, 2023

Global climate change is shifting the temperate zone towards higher latitudes, altering crop adaptability and potentially impacting cotton (Gossypium hirsutum L.) cultivation's suitability distribution. However, our understanding of these impacts often based on one-sided assessments, leading to potential biases when optimizing planting spatial distribution adaptability. In this study, we utilized a cultivation optimization framework, combining Geographical Information System (GIS) Remote Sensing (RS) techniques, accurately identify locations with ongoing land-use disputes. We then analyzed extent discrepancy between zones under influence change. The results demonstrate stability suitable areas in southern (19%), northern (4%), eastern (1%) regions, indicating comparative advantage climatic resources for region. climate-suitable were mainly concentrated south side Tianshan Mountains near Tarim River, covering regions Aksu, Hetian, Kashgar, Bazhou. notable increase effective accumulated temperature, precipitation, sunshine hours, minimum proportion very highly unsuitable decreased, while less increased. Additionally, led expansion North Xinjiang. Moreover, center shifted from South Xinjiang during 2000–2020 returned Xinjiang, being nearly balanced by 2021 (49% each). Despite decrease conflict rate 60% 33% 2000–2020, remained relatively high. It reasonable attribute significant target price policy agricultural technological advancement both Overall, study effectively identifies conflicts suggests layout This can leverage resource advantages, reduce production costs, provide valuable references decision makers.

Language: Английский

Citations

28
Impacts of climate change and human activity on the potential distribution of Aconitum leucostomum in China DOI

Li Xu,

Yuan Fan,

Jianghua Zheng

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 912, P. 168829 - 168829

Published: Nov. 28, 2023

Language: Английский

Citations

23
Coupling behavioral economics and water management policies for agricultural land-use planning in basin irrigation districts: Agent-based socio-hydrological modeling and application DOI Creative Commons

Shunke Wang,

Jingjing Chang, Jie Xue

et al.

Agricultural Water Management, Journal Year: 2024, Volume and Issue: 298, P. 108845 - 108845

Published: May 7, 2024

Optimizing the cropping structure is of great significance for ensuring efficient water use and ecological sustainability in irrigation districts experiencing shortages. However, how farmers choose crops to plant under intervention factors such as behavioral economics policies has been less considered agricultural land-use planning. This study proposes an agent-based socio-hydrological model embedding a geographic information system (ABSHM-GIS). In ABSHM-GIS, bottom-up research methodology coupled with farmers' government used examine influencing impact decisions on income spatial temporal distributions resources. this study, ABSHM-GIS was applied context planting crop subsidy policy Qira oasis, Xinjiang, China case area. Results showed that effective reducing (18–30 million m3/year) relative farmer intervention, but it also reduced returns (17,850–25,860 yuan/ha). During period irrigation, regulating increase lower residual volume gates 2–4 range 666–869 m3/day 5–9 211–342 could effectively ensure even distribution surface groundwater. structure, by 300 yuan/ha save average 2 m3/year resources safety. The learning factor main changed decision-making behavior farmers. proposed paper help researchers reveal causes provide insights into emergence macro-patterns, changes irrigated agriculture, result microfarmers' economic approach.

Language: Английский

Citations

10
Mapping cropland suitability in China using optimized MaxEnt model DOI
Xiaoliang Li, Kening Wu,

Shiheng Hao

et al.

Field Crops Research, Journal Year: 2023, Volume and Issue: 302, P. 109064 - 109064

Published: July 29, 2023

Language: Английский

Citations

21
Suitability evaluation of the rural settlements in a farming-pastoral ecotone area based on machine learning maximum entropy DOI Creative Commons
Haitao Zhou, Xiaodong Na, Lin Li

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 154, P. 110794 - 110794

Published: Aug. 12, 2023

The suitability evaluation of rural settlements is the core foundation planning and layout optimization. Settlements in a farming-pastoral ecotone are migrative, dynamic, diverse, thus their changes constantly. However, our limited understanding factors that drive this dynamic process affect humane hindered high-quality development human such areas. Here we selected ethnic minority border area Dalham Maomingan United Banner (DMUB) Northern China to evaluate its settlements. A data-driven machine learning maximum entropy (Maxent) method was applied settlement datasets DMUB years 1996, 2010, 2020, as well 13 influencing derived from optical images topographical ancillary data, demonstrating Maxent model can quantitatively measure contribution importance each factor variation over time. Furthermore, results showed distance cultivated land, population density, road had great influence on early-stage distribution land gradually decreased with significantly increased effect grassland later period. fluctuated first increasing then decreasing. also used automatically determine suitable range for according response curve: elevation falling between 1450 1650 m approximately, slope being <7°, aspect about 75°-225°, optimal town hospital within 3000 m, vegetation cover 0.60–0.75. Such multi-period indicated decreased, fragmentation serious. has been dynamically transformed, but mostly toward unsuitable development. This study provides decision-making basis site selection livability assessment villages ecotone.

Language: Английский

Citations

19
Develop agricultural planting structure prediction model based on machine learning: The aging of the population has prompted a shift in the planting structure toward food crops DOI

Wei Guo,

Yimei Huang,

Yudan Huang

et al.

Computers and Electronics in Agriculture, Journal Year: 2024, Volume and Issue: 221, P. 108941 - 108941

Published: April 16, 2024

Language: Английский

Citations

8
Optimizing food crop layout considering precipitation uncertainty: Balancing regional water, carbon, and economic pressures with food security DOI
Shan Long, Shenbei Zhou,

Hai He

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 467, P. 142881 - 142881

Published: June 17, 2024

Language: Английский

Citations

7
Exploiting the potential of carbon emission reduction in cropping-livestock systems: Managing water-energy-food nexus for sustainable development DOI
Hui Wu,

Qiong Yue,

Ping Guo

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 377, P. 124443 - 124443

Published: Sept. 21, 2024

Language: Английский

Citations

6
Spatial Distribution Pattern of Aromia bungii Within China and Its Potential Distribution Under Climate Change and Human Activity DOI Creative Commons
Liang Zhang, Ping Wang, Guanglin Xie

et al.

Ecology and Evolution, Journal Year: 2024, Volume and Issue: 14(11)

Published: Nov. 1, 2024

ABSTRACT Aromia bungii is a pest that interferes with the health of forests and hinders development fruit tree industry, its spread influenced by changes in abiotic factors human activities. Therefore, exploring their spatial distribution patterns potential areas under such conditions crucial for maintaining forest ecosystem security. This study analyzed differentiation characteristics geographic pattern A. China using Moran's I Getis‐Ord General G index. Hot spot were identified Gi*. An optimized MaxEnt model was used to predict within four shared economic pathways combining multivariate environmental data: (1) prediction natural variables predicted current climate models; (2) + activities (3) future models (2050s 2070s). Meanwhile, MigClim simulate unoccupied suitable area presence obstacles change. The results showed activities, minimum temperature coldest month, precipitation wettest month had positive effects on . However, period, drastically reduced survival , mainly concentrated eastern central regions China. Under influence change future, habitat will gradually increase. Additionally, indicates has been continuous increasing trend. provides reference prevention control maintenance security, important theoretical guidance researchers, policymakers, governments.

Language: Английский

Citations

5
Suitability Evaluation of Tea Cultivation Using Machine Learning Technique at Town and Village Scales DOI Creative Commons

Wenwen Xing,

Cheng Zhou, Junli Li

et al.

Agronomy, Journal Year: 2022, Volume and Issue: 12(9), P. 2010 - 2010

Published: Aug. 25, 2022

Suitability evaluation of tea cultivation is very important for improving the yield and quality tea, which can avoid blind expansion achieve sustainable development; however, to date, relevant research at town village scales lacking. This study selected Xinming Township in Huangshan City, Anhui Province, as area, main production area Taiping Houkui Tea—one ten most famous teas China. We proposed a machine learning-based suitability model by comparing logistic regression (LR), extreme gradient boosting (XGBoost), adaptive (AdaBoost), decision tree (GBDT), random forest (RF), Gaussian Naïve Bayes (GNB), multilayer perceptron (MLP) calculate weight accuracy factors. then 12 factors, including climate, soil, terrain, ecological economy using RF with highest factor weights obtained results. The results show that highly suitable moderately generally unsuitable land categories were 14.13%, 27.25%, 32.46%, 26.16%, respectively. Combined field research, areas mainly distributed northwest Town, line distribution township level. provide scientific reference support allocation decisions green agricultural development scales.

Language: Английский

Citations

22