Analysis of Land Use Changes and Driving Forces in Chuzhou City from 2010 to 2020 DOI

Mingxuan Yi,

Chong Liu,

Pengfei Cong

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Июль 9, 2024

Abstract Land use change is an important driving factor for global environmental change. Clarifying its changing characteristics and factors of great guiding significance optimizing land patterns, improving regional ecological environment, increasing efficiency. This article based on the grid data in Chuzhou City from 2010, 2015, 2020, ENVI GIS software are used to preprocess data. The transfer matrix dynamic degree model used, combined with actual situation City, 2010 2020 analyzed. On this basis, principal component analysis analyze forces interannual changes City. results show that structure was still mainly composed arable land, forest construction land. area other types relatively small, but grassland decreased significantly. unused continued increase, showing largest increase; In past 10 years, has undergone significant changes, a smaller difference between different trend towards balanced structure; main rapid economic development agricultural production productivity.

Язык: Английский

Response of vegetation evapotranspiration to landscape pattern changes in an arid region: A case study of the Loess Plateau, China DOI
Jinjun Guo, Liangxin Fan, Pengfei Feng

и другие.

CATENA, Год журнала: 2025, Номер 252, С. 108878 - 108878

Опубликована: Март 4, 2025

Язык: Английский

Процитировано

2
Ecological zoning and ecosystem management based on landscape ecological risk and ecosystem services: A case study in the Wuling Mountain Area DOI Creative Commons
Heng Liu,

Diwei Tang

Ecological Indicators, Год журнала: 2024, Номер 166, С. 112421 - 112421

Опубликована: Авг. 1, 2024

Land use and cover changes have substantially altered surface landscape patterns, resulting in ecological risk (LER) jeopardizing the continued supply of ecosystem services (ES). Although ES LER are positive negative aspects security representation, respectively, spatiotemporal mechanism their interaction still needs to be further clarified. This study focused on Wuling Mountain Area (WMA), a critical functional zone. First, multi-source data multi-models were used evaluate analyze characteristics. Subsequently, geographically temporally weighted regression model was applied uncover heterogeneity impacts various ES. Finally, zones delineated based LER-ES quadrant, driving force analysis conducted, management strategies proposed. The main results as follows: (1) showed overall decreasing increasing trends, respectively. (2) Except for water yield, impact clear non-stationarity, with significant impact, which most pronounced habitat quality. (3) WMA divided into four zones: prevention zone, conservation enhancement reshaping Elevation, normalized difference vegetation index, human footprint identified drivers zoning. research lays solid foundation in-depth understanding proposed zoning scheme provides strong support ecologically sustainable development WMA.

Язык: Английский

Процитировано

10
Coordinating red line policies with water consumption caps in China’s drylands DOI

Bingfang Wu,

Zonghan Ma, Xiaoming Feng

и другие.

Science Bulletin, Год журнала: 2025, Номер unknown

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

1
Trajectories of Terrestrial Vegetation Productivity and Its Driving Factors in China's Drylands DOI Creative Commons
Haixing Gong, Guoyin Wang, Xiaoyan Wang

и другие.

Geophysical Research Letters, Год журнала: 2024, Номер 51(20)

Опубликована: Окт. 13, 2024

Abstract Climate change and large‐scale ecological restoration programs have profoundly influenced vegetation greening gross primary productivity (GPP) in China's drylands. However, the specific pathways through which climatic factors influence GPP remain poorly understood. This study examines spatiotemporal changes across drylands from 2001 to 2020 investigates direct indirect effects of leaf area index (LAI) on GPP. The results reveal that overall improvement cover has positively increased these regions. Although are minimal, they exert a substantial effect by regulating growth, highlighting LAI is key intermediary mediating Furthermore, complex interactions vary significantly along aridity gradient. emphasizes necessity comprehensively considering intricate among multiple climate factors.

Язык: Английский

Процитировано

7
Spatio-temporal variations and multi-scenario simulation of landscape ecological risk in the drylands of the Yellow River Basin DOI Creative Commons
Jing Li, Shuai Cheng Li, Xiaohui Wang

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Сен. 30, 2024

Язык: Английский

Процитировано

4
Semantic Segmentation for Simultaneous Crop and Land Cover Land Use Classification Using Multi-Temporal Landsat Imagery DOI
Saman Ebrahimi, Saurav Kumar

Remote Sensing Applications Society and Environment, Год журнала: 2025, Номер unknown, С. 101505 - 101505

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0
GMIE: a global maximum irrigation extent and central pivot irrigation system dataset derived via irrigation performance during drought stress and deep learning methods DOI Creative Commons
Fuyou Tian,

Bingfang Wu,

Hongwei Zeng

и другие.

Earth system science data, Год журнала: 2025, Номер 17(3), С. 855 - 880

Опубликована: Март 6, 2025

Abstract. Irrigation accounts for the major form of human water consumption and plays a pivotal role in enhancing crop yields mitigating effects drought. Accurate mapping irrigation distribution is essential effective resource management assessment food security. However, resolution global irrigated cropland map coarse, typically approximately 10 km, it lacks regular updates. In our study, we present robust methodology that leverages performance during drought stress as an indicator productivity to identify cropland. Within each zone (IMZ), identified dry months growing season from 2017 2019 or driest 2010 2019. To delineate cropland, utilized collected samples calculate normalized difference vegetation index (NDVI) thresholds NDVI deviation 10-year average month. By integrating most accurate results these two methods, generated Global Maximum Extent dataset at 100 m (GMIE-100), achieving overall accuracy 83.6 % ± 0.6 %. The GMIE-100 reveals maximum extent encompasses 403.17 9.82 Mha, accounting 23.4 Concentrated fertile plains regions adjacent rivers, largest areas are found India, China, United States, Pakistan, which rank first fourth, respectively. Importantly, spatial surpasses dominant map, offering more detailed information support estimates agricultural use regional security assessments. Furthermore, with help deep learning (DL) method, central pivot system (CPIS) was using Pivot-Net, novel convolutional neural network built on U-net architecture. We there 11.5 0.01 Mha CPIS, 2.90 0.03 total Namibia, Saudi Arabia, South Africa, Canada, Zambia, CPIS proportion greater than knowledge, this inaugural study undertake identification specific focus CPIS. containing both publicly available Harvard Dataverse https://doi.org/10.7910/DVN/HKBAQQ (Tian et al., 2023a).

Язык: Английский

Процитировано

0
Multi‐Scenario Simulation of Land Use Changes and Their Ecological Risk in the Global Largest Inland Arid Urban Agglomeration DOI Open Access

Xiaojuan Zhi,

Xiaojun Song, Jing Ma

и другие.

Land Degradation and Development, Год журнала: 2025, Номер unknown

Опубликована: Март 12, 2025

ABSTRACT Rapid global urbanization had significantly altered land use (LU), threatening the ecology and sustainability of arid regions. Systematic forward‐looking analyses changes (LUCs) ecological risks in Asia's zones, particularly urban agglomeration on northern slope Tianshan Mountains (UANSTM), remained limited. Herein, LUCs UANSTM under four scenarios, including ecology‐economy balanced development scenario (EES), protection (EPS), economic (EDS), natural (NDS) 2030, was predicted by employing PLUS model multi‐objective programming (MOP) model. Then, an evaluation system developed from dimensions expansion, risk, food demand, degradation to assess corresponding risk each case. The results showed that: (1) Under scenario, desert bare grassland were found be main LU modes UANSTM, with a significant increase cultivated negligible change water forest; (2) area decreased NDS while areas grassland, forest land, construction increased other especially unused grassland; (3) LU‐induced these scenarios similarities, overall high risks. Among them, 52.04% at relatively high‐risk levels, only 2.97% low‐risk levels. This study reveals diversified different thereby facilitating individualized planning environmental restoration UANSTM.

Язык: Английский

Процитировано

0
Global temporal and spatial changes of vegetation in desert steppe Ecosystems: Impacts of climate driving factors DOI Creative Commons
Xiaonan Chen, Bochao Cui, Dongwei GUI

и другие.

Ecological Indicators, Год журнала: 2025, Номер 172, С. 113333 - 113333

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0
Foreign direct investment exerts heterogeneous impacts on the global ecosystem services values: Evidence from 62 countries globally DOI

Yufan Wu,

Wei Wu, Shiqi Tian

и другие.

Environmental Impact Assessment Review, Год журнала: 2025, Номер 115, С. 107973 - 107973

Опубликована: Май 14, 2025

Язык: Английский

Процитировано

0