How to Improve the Benefits of Short-Term Fallow on Soil Physicochemical and Microbial Properties: A Case Study from the Yellow River Delta DOI Creative Commons
Yaoben Lin,

Yuanbo Wang,

Xingjun Lv

et al.

Land, Journal Year: 2023, Volume and Issue: 12(7), P. 1426 - 1426

Published: July 16, 2023

Fallowing is regarded as an effective method for the self-recovery management of farmland and generally used in cultivated land management. Studies have shown that long-term fallow has many ecological environmental benefits. However, fallowing also caused a decline grain production period time. Short-term can reduce risk food insecurity, but there are few studies on short-term fallow, especially comparation different methods their relationship with soil microbial ecology. Our study focused seven treatments. Firstly, traditional farming was set control group. Native vegetation crop-pasture were vegetation. There three irrigation–fertilization levels each The effects sampling times showed impact properties became gradually stronger interactions between treatments significant organic carbon total nitrogen. inorganic accumulation ammonia nitrogen consumption. Microbial biomass significantly increased by fallowing. irrigation could enhance transformation. Some genera associated assisting diseases native grass farmyard manure. more advantageous benefits than fallow. Although followed principle intensification, it failed to show better short period. In management, similar. considering lower cost vegetation, be choice. If difficult implement conservation measures during process, without may only

Language: Английский

Ecological health assessment of Tibetan alpine grasslands in Gannan using remote sensed ecological indicators DOI Creative Commons
Zeyu Du, Xibin Ji, Jane Liu

et al.

Geo-spatial Information Science, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 19

Published: March 21, 2024

Ecosystem health assessments are crucial to protect the ecological environment and ensure sustainable functions of alpine ecoregions. At present, few studies evaluating ecosystem Gannan grassland, China, an ecologically fragile area, based on a remote sensing theoretical framework exist. As such, this study assessed grassland Remote Sensing-based Ecological Index (RSEI) provided comparative analysis RSEI Gross Primary Productivity (GPP), extending their spatiotemporal patterns influencing factors. The results suggested that GPP showed strong comparability in sense, with better reflecting changes than GPP. Overall, was good (RSEI 0.61–0.76) slow, fluctuating upward trend seen from 2000 = 0.66) 2020 0.72). Notably, high south low north region. Over past 21 years, 43.92% healthy southwest has been degrading, while poor 39.04% grasslands southeast northeast improved. model test show could reasonably evaluate grassland. Our assessment provide important scientific data information monitoring targeted restoration efforts

Language: Английский

Citations

10
Constructing cropland ecological stability assessment method based on disturbance-resistance-response processes and classifying cropland ecological types DOI
Haoran Gao, Jian Gong,

Teng Ye

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 930, P. 172673 - 172673

Published: April 25, 2024

Language: Английский

Citations

10
Study on the spatial-temporal evolution characteristics, patterns, and driving mechanisms of ecological environment of the Ecological Security Barriers on China's Land Borders DOI Creative Commons

Lingdong Tang,

Gaodou Liang, Guanhai Gu

et al.

Environmental Impact Assessment Review, Journal Year: 2023, Volume and Issue: 103, P. 107267 - 107267

Published: Sept. 12, 2023

The national ecological security barrier holds a pivotal position within the framework of strategy for conservation and restoration. Concurrently, border areas, as focal point homeland strategy, have garnered considerable attention. These two concepts collectively present profound implication upholding security. To this end, monitoring changes barriers, exploring driving mechanisms such constitutes foremost imperative in comprehending advancing theory. However, current research has yet to extend application theory scale.This paper integrates with China's land cities belt, constructing Ecological Security Barrier Land Borders (ESBCLB). Then, produces Remote Sensing Index (RSEI) products early 21st century (2000–2021, 21 periods) by using Google Earth Engine (GEE). Based on pixel scale calculations classifications, spatial-temporal evolution characteristics patterns ESBCLB are objectively obtained. Finally, employs Geographically Temporally Weighted Regression (GTWR) model explore six primary indicators, namely, economy, human activity, transportation, topography, hydrography climate, which may impacts environment ESBCLB. Through analysis, concludes that (1) On whole, not substantial, regions where remains unchanged accounting 73.78%. Among occurred, those north Aksu Prefecture Kizilsu Kirgiz Autonomous exhibit predominantly improved trend, while south show degraded trend. (2) ten identified based characteristics, pattern no significant change persistence well counter persistence. Apart from these, very better dominate majority cases; (3) Overall, hydrography, climate spatial heterogeneity RSEI. them, positive correlations RSEI While economy transportation negative correlations. significance lies it provides scientific basis theoretical support specific study regional environment.

Language: Английский

Citations

20
Advancing ecological quality assessment in China: Introducing the ARSEI and identifying key regional drivers DOI Creative Commons

Qi Tang,

Hua Li, Jieling Tang

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 163, P. 112109 - 112109

Published: May 15, 2024

Accurate analysis of regional ecological quality and its drivers is crucial for the sustainable development human society. The remote sensing eco-index (RSEI) has been widely used to monitor changes in many countries or regions, but it ignores problem declining air caused by economic population growth. Consequently, an improved remotely sensed index (ARSEI) was developed evaluate China's environment incorporating aerosol optical depth (AOD) into system. Additionally, a random forest regression model rank importance indexes ARSEI. Furthermore, geographical detector utilized assess impact natural socioeconomic factors on spatial heterogeneity ARSEI six geographic regions China, identifying their primary drivers. research findings revealed following: (1) There are similarities differences order indicators across regions. (2) values significantly increased 24.70% areas, primarily Northeast Plain, Loess Plateau, Tarim Basin, while they decreased 5.35% mainly Qinghai-Tibetan northern part Tianshan Mountains, eastern coastal cities, central urban agglomerations. (3) Rainfall vegetation conditions main affecting environmental Three-North region (XB, HB DB). In southern (XN, ZN HD) cover land use change, density PM2.5 concentrations were greater than influence climate factors. interaction factors, including PM2.5, had results this study can provide data support coordinated ecosystems socioeconomics.

Language: Английский

Citations

7
Spatiotemporal change in ecological quality of the Qinghai-Tibetan Plateau based on an improved remote sensing ecological index and Google Earth Engine platform DOI

Jing Shi,

Jie Gong,

Yunxia Zhang

et al.

Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(4)

Published: March 5, 2025

Language: Английский

Citations

0
Can the Resource Nexus guide improvements in urban planetary health? Insights from a literature review DOI Creative Commons

Rayyan Sulieman,

Martina Artmann, Daniel Karthe

et al.

Resources Environment and Sustainability, Journal Year: 2025, Volume and Issue: unknown, P. 100224 - 100224

Published: April 1, 2025

Language: Английский

Citations

0
Time series of Sentinel-1 and Sentinel-2 imagery for parcel-based crop-type classification using Random Forest algorithm and Google Earth Engine DOI
Arsalan Ghorbanian, Soheil Zaghian, Seyed Ali Ahmadi

et al.

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 303 - 319

Published: Jan. 1, 2025

Language: Английский

Citations

0
Quantitative Evaluation and Driving Forces of Green Transition of Cultivated Land Use in Major Grain-Producing Areas—A Case Study of Henan Province, China DOI Open Access
Jing‐Fang Yang, Enxiang Cai, Weiqiang Chen

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2624 - 2624

Published: March 17, 2025

Exploring the spatiotemporal evolution and driving forces for green transition of cultivated land (GTCL) has become an important part deepening research on use transition, significant implications addressing environmental issues agriculture development. This study took cities in Henan province, main grain-producing area central China, as objects, established evaluation system GTCL based subsystems spatial, functional, mode transition. The entropy weight method spatial autocorrelation model were used to measure index analyze pattern; then, geographic detector was explore forces. from 2010 2020 showed stable growth, exhibiting heterogeneity with a decrease southeast northwest. growth three is inconsistent, order value being functional global Moran’s province positive values, indicating dependence spillover effects. population density, urbanization rate, per capita GDP, irrigation have always been GTCL, agricultural modernization would promote areas. results provide reference exploring path promoting utilization sustainable development China’s major

Language: Английский

Citations

0
Cropland Data Extraction in Mekong Delta Based on Time Series Sentinel-1 Dual-Polarized Data DOI Creative Commons

Jingling Jiang,

Hong Zhang,

Ji Ge

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(12), P. 3050 - 3050

Published: June 10, 2023

In recent years, synthetic aperture radar (SAR) has been a widely used data source in the remote sensing field due to its ability work all day and weather conditions. Among SAR satellites, Sentinel-1 is frequently monitor large-scale ground objects. The Mekong Delta major agricultural region Southeast Asia, so monitoring cropland of great importance. However, it challenge distinguish from other objects, such as aquaculture wetland, this region. To address problem, study proposes statistical feature combination dual-polarimetric (dual-pol) time series based on m/χ decomposition method. Then put into proposed Omni-dimensional Dynamic Convolution Residual Segmentation Model (ODCRS Model) high fitting speed classification accuracy realize extraction Experiments show that ODCRS model achieves an overall 93.85%, MIoU 88.04%, MPA 93.70%. results our method can effectively areas wetlands.

Language: Английский

Citations

7
The spatiotemporal evolution and driving factors of farmland system health: Taking the middle and lower reaches of the Yangtze River as an example DOI
Xiaoping Zhou,

Ying LIANG,

Xiao-tian LI

et al.

自然资源学报, Journal Year: 2024, Volume and Issue: 39(5), P. 1174 - 1174

Published: Jan. 1, 2024

Language: Английский

Citations

2