Results 131 to 140 of about 18,063 (261)

Post‐release tracking to monitor success of black cockatoo rehabilitation in Western Australia

The Journal of Wildlife Management, EarlyView.
Post‐release tracking of rehabilitated black cockatoos in Western Australia showed high success (79.4%), with survival, self‐feeding, and flock reintegration achieved by most birds. Larger resident flocks were significantly associated with improved post‐release outcomes.
Bertrand Ng, Kristin Warren, Mieghan Bruce, Rebecca Vaughan‐Higgins, Jill M. Shephard, Karen Riley, Sam Rycken, Rick Dawson, Peter Mawson, Louise Hopper, Anna Le Souëf   +10 more
wiley   +1 more source

Deep learning techniques for extreme rainfall prediction: a review of state-of-the-art. [PDF]

Front Artif Intell
Mukhalela BU, Viriri S, Ndzi D, Gebreslasie M, Zeeshan Shakir M, Ramzan N, Ayaz F, Lynch M, Spencer LH, Naidoo S, Nadesan-Reddy N, Mahomed O, Dickinson N, Henriquez F.   +13 more
europepmc   +1 more source

A hypothesis of 3D rainfall tomography using satellite signals [PDF]

Journal of Communications and Information Networks, 2016
Defeng David Huang, Lu Xu 0003, Xuxiang Feng, Wanyu Wang   +3 more
openaire   +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

AI-Aquatica-RS: A Modular Python Framework for Reproducible Fusion of Remote-Sensing-Derived Spectral Indices and In Situ Water-Quality Observations. [PDF]

Sensors (Basel)
Miller T, Durlik I.
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

Global satellite analysis reveals landslide susceptibility peaks at intermediate vegetation density. [PDF]

iScience
Yuan S, Wang Q, Gong Q, Gonzalez-Rodriguez MA, Song G, Zong Y, Hao Y, Wang J, Chen Y.   +8 more
europepmc   +1 more source

Forest Vapor Pressure Deficit Sensitivity: A Potential Indicator of Soil Carbon Stability Under Atmospheric Drying

Land Degradation &Development, EarlyView.
ABSTRACT This Short Report examines an underexplored link between atmospheric drying and soil organic carbon (SOC) stability. Rising atmospheric vapor pressure deficit (VPD) is becoming an increasingly important hydroclimatic stressor for terrestrial ecosystems.
Anquan Xia, Xiang Wei, Ma Cheng, Zhihong Xu, Tong Li   +4 more
wiley   +1 more source

Rainfall extremes drive cocoa yield losses across the tropics. [PDF]

Proc Natl Acad Sci U S A
Albright AL, Berkoh-Oforiwaa R, Huybers P.   +2 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