International Soil and Water Conservation Research, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 1, 2024
Language: Английский
Remote Sensing, Journal Year: 2024, Volume and Issue: 16(5), P. 847 - 847
Published: Feb. 28, 2024
The biological conservation measures factor (B) in the Chinese Soil loss Equation (CSLE) model is one of main components evaluating soil erosion, and accurate calculation B-factor at regional scale fundamental predicting erosion dynamic changes. In this study, we developed an optimal computational procedure for estimating mapping Google Earth Engine (GEE) cloud computing environment using multiple data sources through suitability assessment image fusion. Taking Yanhe River Basin Loess Plateau China as example, evaluated availability daily precipitation (CHIRPS, ERA5, PERSIANN-CDR data) against national meteorological stations. We estimated from Sentinel-2 proposed a new method, namely trend migration to patch missing values three other remote sensing (MOD09GA, Landsat 7, 8). then calculated mapped based on rainfall erosivity, vegetation coverage, land use types. results show that ERA5 dataset outperforms CHIRPS it can be utilized alternative source stations modeling. Compared harmonic analysis time series (HANTS), method study more suitable patching parts data. restored high-resolution fit nicely with 10 m resolution data, enhancing accuracy local region scales. computation applicable various river basin scales monitoring.
Language: Английский
Citations
5
Remote Sensing, Journal Year: 2023, Volume and Issue: 15(11), P. 2868 - 2868
Published: May 31, 2023
Land use and management practices (LUMPs) play a critical role in regulating soil loss. The cover-management factor (C-factor) Universal Soil Loss Equation (USLE)-type models is an important parameter for quantifying the effects of LUMPs on erosion. However, accurately determining C-factor, particularly large-scale assessments using USLE-type models, remains challenging. This study aims to address this gap by analyzing comparing methods used C-factor quantification 946 published articles, providing insights into their strengths weaknesses. Through our analysis, we identified six main categories modeling. Many studies have relied empirical values different land-use types or calculated based vegetation indices (VIs) large areas (>100 km2). found that no single method could robustly estimate studies. For small-scale investigations, conducting experiments consulting existing literature proved be more feasible. In context studies, employing VIs can enhance understanding relationship between changes erosion potential, when considering spatial spatiotemporal variations. global scale, recommend combined equations. We suggest further efforts develop datasets at scales synthesizing field-level experiment data combining high-resolution satellite imagery. These will facilitate development effective conservation practices, ensuring sustainable land environmental protection.
Language: Английский
Citations
13
Agriculture, Journal Year: 2024, Volume and Issue: 15(1), P. 18 - 18
Published: Dec. 25, 2024
Monitoring and assessing soil erosion is essential for reducing land degradation ensuring food security. It provides critical scientific insights developing effective policies implementing targeted preventive measures. The emergence of remote sensing technology has significantly bolstered research, empowering researchers to comprehensively accurately understand address erosion-related challenges. Consequently, become pivotal in research methodologies. In recent years, significant progress been made on erosion. This study aims encapsulate the current status advancements applications research. catalogs commonly used data sources introduces innovative methodologies detecting soil-erosion-related information utilizing technology. Furthermore, it delves into analysis acquisition methods factors influencing examines crucial role prevalent simulation prediction models. Additionally, this identifies existing challenges outlines prospects developmental directions emphasizing its potential contribute sustainable management practices environmental conservation efforts.
Language: Английский
Citations
4
Remote Sensing Applications Society and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 101498 - 101498
Published: Feb. 1, 2025
Language: Английский
Citations
0
European Journal of Soil Science, Journal Year: 2025, Volume and Issue: 76(2)
Published: March 1, 2025
ABSTRACT Combining soil erosion with comprehensive zoning can reflect the spatial differentiation of and reveal driving forces behind changes in erosion. Here, Köppen climate classification K‐means unsupervised clustering analysis were used to categorise source regions Yangtze Yellow Rivers (SRYYR) into eight integrated climate‐ecology‐hydrology zones, considering vegetation, climate, runoff, sediment transport. The CSLE model was analyse rate evolution patterns impacts extreme rainfall events each zone. study found that eastern River northern experienced severe Vegetation biological practices region significantly better than River. Rainfall erosivity increased from northwest southeast. Extreme lead a 3.86‐fold difference erosivity, annual distribution affects rates. There significant differences trends rates across different regions, central part SRYYR still undergoing degradation. Conservation measures resulted 26.15% decrease B factor (vegetation practice factor) Zones II, V, VI, VII, but current state vegetation cover Zone VIII remains concern (increase 9.23%). condition grassland improved year by year, while arable land worsening trend, forests fluctuated within certain range. formation channels transport not only landscape also has profound on water quality downstream ecosystems.
Language: Английский
Citations
0
Frontiers in Plant Science, Journal Year: 2025, Volume and Issue: 16
Published: March 20, 2025
Soil erosion is undeniably a significant cause of variety problems in the Upper Yangtze River (UYR), including floods, land degradation, and sedimentation rivers. Recognizing alterations soil its influencing variables this area recently crucial scientific challenge requiring prompt solutions regional control. This study examines factors Jialing Basin (JRB) from 1990 to 2018 using RUSLE geographical detector. It focuses on relationship between use, landscape patterns, typical basin UYR. The results indicated that: (1) average modulus JRB decreased during 1990-2018, with predominant slight (< 500 t·km −2 ·a −1 ) light 2,500 intensity. Moderate higher grades mainly occurred middle lower JRB. (2) Cultivated land, forest grassland accounted for over 97% JRB’s use cultivated dominating areas. Over years, there was an increase construction areas, while decreased. pattern characterized by diversity, fragmentation, decentralization. (3) control (SECA), primarily situated JRB, predominantly land. Between 2018, SECA underwent changes, most notable changes occurring Fujiang (FRB) western parts Qujiang (QRB). experienced more fluctuations left bank right specifically QRB FRB. research can serve as reference future decision-making planning management
Language: Английский
Citations
0
Ecological Indicators, Journal Year: 2025, Volume and Issue: 173, P. 113422 - 113422
Published: April 1, 2025
Language: Английский
Citations
0
Regulatory Mechanisms in Biosystems, Journal Year: 2025, Volume and Issue: 33(1), P. e25004 - e25004
Published: Jan. 4, 2025
Language: Английский
Citations
0
Frontiers in Plant Science, Journal Year: 2023, Volume and Issue: 14
Published: June 26, 2023
Dynamic monitoring and evaluation of vegetation ecological quality (VEQ) is indispensable for environment management sustainable development. Single-indicator methods that have been widely used may cause biased results due to neglect the variety elements. We developed index (VEQI) by coupling structure (vegetation cover) function (carbon sequestration, water conservation, soil retention, biodiversity maintenance) indicators. The changing characteristics VEQ relative contribution driving factors in protection redline areas Sichuan Province (EPRA), China, from 2000 2021 were explored using VEQI, Sen’s slope, Mann-Kendall test, Hurst index, residual analysis based on XGBoost (Extreme gradient boosting regressor). showed EPRA has improved over 22-year study period, but this trend be unsustainable future. Temperature was most influential climate factor. And human activities dominant factor with a 78.57% changes. This provides ideas assessing restoration other regions, can provide guidance ecosystem conservation.
Language: Английский
Citations
9
Heliyon, Journal Year: 2023, Volume and Issue: 9(9), P. e19998 - e19998
Published: Sept. 1, 2023
Soil erosion is an important environmental problem in China. The hilly region of Jiangnan characterized by severe soil due to its unique climate and intensive human activities. Therefore, assessing this area great significance for achieving regional sustainable development. Based on the spatial zoning natural resources differences precipitation, land cover, topographic features, texture, we estimated from 2000 2020 using Revised Universal Loss Equation (RUSLE) model. study showed that micro-erosion dominates spatially subtropical forest subzone eastern hills, accounting more than 60% total area. Intense was found woodlands grasslands intensity tended be lower plains. Erosion occurred mainly areas with slopes >8°. significantly were distributed at boundaries between forests, arable land, artificial surfaces. where increased over period farmland (31.70%). because a combination factors, among which vegetation cover played prominent role. Elevation slope correlated intensity. Severe different parts two trends aggregation discrete distribution. This analysis RUSLE model provides reference data subregion including Hills.
Language: Английский
Citations
8