Results 151 to 160 of about 86,604 (273)

A new approach to evaluation and recalibration of the reference evapotranspiration models based on pan evaporation for Iran's coastal regions. [PDF]

Sci Rep
Gholampoor N, Mohammadi P, Modaresi F.
europepmc   +1 more source

Spatiotemporal Interactions of Land Use Change, Land Surface Temperature, and Vegetation Dynamics in China's Caohai National Nature Reserve

Land Degradation &Development, EarlyView.
ABSTRACT Understanding the spatiotemporal dynamics of land use change (LUC), land surface temperature (LST), and vegetation indices is critical for assessing ecological changes and informing sustainable land management. This study investigates the long‐term interrelationships between LUC, LST, and vegetation indices in China's Caohai National Nature ...
Yin Su, Ran Liu, Jie Liu, Xiaohui Xue
wiley   +1 more source

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

Evaluation of fenugreek under water stress: agronomic traits, seed oil quality and antioxidant capacity. [PDF]

BMC Plant Biol
Varol IS.
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

Assessing the Potential of Multispectral UAV-Derived Vegetation Indices for Estimating Water Use of Taro (<i>Colocasia esculenta</i>) Under Different Weed Management Practices. [PDF]

Plants (Basel)
Muchaonyerwa K, Mahomed M, Gokool S, Clulow A, Denton G, Reddy K, Kunz R.   +6 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

CO₂ physiological forcing mitigates climate-driven water limitation on vegetation growth and carbon uptake. [PDF]

Nat Commun
Kang P, Zhou S, Yu B, Ma 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

Multi-Sensor NDVI Fusion for Daily Crop Evapotranspiration Mapping: A Six-Year Irrigated Maize Assessment Using MODIS-Sentinel-2-Landsat (2020-2025). [PDF]

Sensors (Basel)
Fehér ZZ, Nxumalo GS, Nagy A.
europepmc   +1 more source