Results 131 to 140 of about 9,667 (214)

Topographic and Climatic Determinants of Soil Organic Carbon Across Landscapes: A Meta‐Analysis

Land Degradation &Development, EarlyView.
ABSTRACT The soil is the greatest natural store of organic carbon, holding between 1500 to 1550 Pg C of organic carbon at the top 100 cm of the soil globally—roughly twice the carbon pool in the atmosphere. The spatial distribution of this stock is controlled by a complex chain of controls: topographic position regulates the hydrological redistribution,
Vishal Sharma, Syed Hujjat ul Baligah, Tajamul Islam Shah, Shahid Shuja Shafai, Owais Bashir, Syed Sheraz Madhi, S. Naresh Kumar, Ayyandar Arunachalam, Shabir Ahmed Bangroo   +8 more
wiley   +1 more source

Development of daily downscaled, bias-corrected CMIP6 climate datasets for estimating reference evapotranspiration (ETo) in South Asia. [PDF]

Sci Data
Saha A, Jain MK, Joshi P, Das S, Rawat NS.   +4 more
europepmc   +1 more source

Revealing Dust Source Changes in East Asia From Past to Future: An Interpretable Deep Learning Approach

Land Degradation &Development, EarlyView.
ABSTRACT Aeolian dust source areas are controlled by climate and human activities and are closely associated with land degradation, yet their long‐term evolution under global warming remains insufficiently quantified. An integrated framework that couples a U‐Net segmentation model with Shapley Additive Explanations (SHAP) was built to map and attribute
Yanyu Li, Qizhong Wu, Xueshun Chen, Jiang Yue, Jieying He, Huaqiong Cheng   +5 more
wiley   +1 more source

Federated learning based reference evapotranspiration estimation for distributed crop fields. [PDF]

PLoS One
Tausif M, Iqbal MW, Bashir RN, AlGhofaily B, Elyassih A, Khan AR.   +5 more
europepmc   +1 more source

Linking Ecosystem Risk, Health, Services to Ecological Security Assessment in the Yellow River Basin: Spatiotemporal Dynamics and Nonlinear Driving Characteristics

Land Degradation &Development, EarlyView.
ABSTRACT A scientific assessment of ecological security (ES) and its nonlinear mechanism for key driving factors in the Yellow River Basin (YRB) is of great significance for ecological protection and sustainable development. This study proposes an ES assessment framework, which links ecosystem risk (ER), ecosystem health (EH), and ecosystem services ...
Menghao Yang, Ming Wang, Haipeng Zhang, Zhihong Yao   +3 more
wiley   +1 more source

A deep learning based framework for enhanced reference evapotranspiration estimation: evaluating accuracy and forecasting strategies. [PDF]

Sci Rep
Sarkar SS, Bedi J, Jain S.
europepmc   +1 more source

Optimizing Soil Organic Matter Estimation Through Multi‐Factor Zoning and Tree‐Based Automated Learning

Land Degradation &Development, EarlyView.
ABSTRACT Soil organic matter (SOM) is a key indicator of land degradation and soil functioning. It plays an essential role in nutrient cycling, soil structure, and long‐term agroecosystem resilience. The variations of surface cover, soil moisture and soil texture heterogeneity will affect the accuracy of SOM remote sensing mapping. This study developed
Xuzhou Qu, Meiyan Shu, Huiming Song, Xiaohe Gu, Jingping Zhou, Qian Sun, Baoyuan Zhang, Menglei Dai, Chunjiang Zhao   +8 more
wiley   +1 more source

An evolutionary parsimonious approach to estimate daily reference evapotranspiration. [PDF]

Sci Rep
Ruiz-Ortega FJ, Clemente E, Martínez-Rebollar A, Flores-Prieto JJ.   +3 more
europepmc   +1 more source

Explainable, Uncertainty‐Aware Machine Learning for Maize Land Suitability and Climate Resilience in Lorestan Province, Western Iran

Land Degradation &Development, EarlyView.
ABSTRACT Maize (Zea mays L.) is strategically important in Iran, yet its cultivation in the semi‐arid Zagros is constrained by limited and variable water, heat stress and heterogeneous soils, while conventional suitability assessments are deterministic, rarely validated spatially and provide no measure of confidence.
Ahad Madani, Narges Shafaei Bajestani
wiley   +1 more source

Comparison of the performances of six empirical mass transfer-based reference evapotranspiration estimation models in semi-arid conditions. [PDF]

PeerJ
Usta S.
europepmc   +1 more source