Results 61 to 70 of about 4,919 (209)
ABSTRACT Lateral carbon transport induced by soil erosion is a key component of the global carbon cycle. Over the past 50 years, ecological restoration projects in the Loess Plateau of China have increased vegetation coverage. However, the effects of land use, precipitation variability, and landscape factors on lateral carbon transport remain unclear ...
Ganggang Ke +6 more
wiley +1 more source
ارزیابی خطر فرسایش خاک با استفاده از یک مدل فازی در آبخیز قرناوه گلستان [PDF]
آگاهی از میزان خطر فرسایش خاک در آبخیزها، امکان شناسایی نواحی بحرانی و اولویت¬بندی برنامه¬های مدیریتی و حفاظتی را فراهم می¬سازد. هدف از تحقیق حاضر، تهیه و اعتبارسنجی یک مدل فازی برای ارزیابی خطر فرسایش خاک در آبخیز قرناوه گلستان است. تهیه نقشه خطر فرسایش
مهدی عرفانیان +2 more
doaj
Assessing and Mapping Erosion Risk for Velikoy Sub-watershed within Coruh River Basin in Turkey
Vegetation on earth surface is the integral part of the world ecosystems in functioning for varying spatial and temporal scales. Along with other benefits, land-use as a forest can dramatically reduce the soil erosion and water pollution by protecting ...
Mustafa Tufekcioglu +5 more
doaj +1 more source
ABSTRACT Soil organic carbon (SOC), as a key indicator of global carbon cycling and climate change response, plays a critical role in regional ecological security and agricultural sustainability. This study employs three machine learning models including the LightGBM, XGBoost, and random forest to simulate the spatial distribution of topsoil SOC stocks
Xinxin Jin +7 more
wiley +1 more source
ABSTRACT Soil erosion is a major environmental challenge in karst regions of Southwest China, where thin soils and high bedrock exposure accelerate land degradation. This study modified the RUSLE model by incorporating bedrock exposure rate to improve erosion simulation in Guizhou Province from 2000 to 2024.
Ning Niu, Jihui Fan, Yiying Li
wiley +1 more source
USING CLIGEN TO GENERATE RUSLE CLIMATE INPUTS
CLIGEN is a stochastic weather generator that produces continuous daily variables to drive process–based runoff and erosion prediction models such as WEPP. To test CLIGEN’s ability to generate precipitation–related variables, which are particularly important to runoff and erosion prediction, algorithms were developed to compute the R–factor, its ...
openaire +1 more source
ABSTRACT As a vital water conservation region in China, the Three River Source Region (TRSR) plays a critical role in safeguarding regional ecological security and ensuring the sustainable utilization of water resources. In this study, the Revised Universal Soil Loss Equation (RUSLE) was employed to quantify soil erosion in the study area across three ...
Fei Liu +3 more
wiley +1 more source
ABSTRACT Establishing scientifically grounded soil erosion control targets and feasible vegetation restoration strategies is crucial for high quality development of the Chinese Loess Plateau which is severely affected by soil erosion. Currently, the commonly used tolerable soil loss (TSL) is inadequate for addressing the spatial heterogeneity in ...
Ye Wang +9 more
wiley +1 more source
Oasisification Yields Response‐Compensated Resilience in an Arid Endorheic Basin
Abstract Rapid oasisification is widely pursued to strengthen regional livelihoods and ecological security in arid endorheic basins, yet it proceeds under mounting water scarcity and ecological trade‐offs. Whether such greening actually enhances ecosystem resilience—and through which components—remains unclear.
Jian Liu +9 more
wiley +1 more source
Advancing soil erosion prediction in Wadi Sahel-Soummam watershed Algeria: A comparative analysis of deep neural networks (DNN) and convolutional neural networks (CNN) models integrated with GIS [PDF]
This study employs adaptive deep learning (utilizing DNN and CNN approaches) to accurately predict soil erosion, a crucial aspect of sustainable soil resource management.
Mokhtari Elhadj +3 more
doaj +1 more source

