A5088945592- Climate Change and Health Impacts
- Air Quality and Health Impacts
- Forest ecology and management
- Plant Water Relations and Carbon Dynamics
- Air Quality Monitoring and Forecasting
- Ecology and Vegetation Dynamics Studies
- Flow Measurement and Analysis
- Plant and animal studies
- Water Systems and Optimization
- Tree-ring climate responses
- Urban Heat Island Mitigation
- Geographic Information Systems Studies
- Advanced Sensor Technologies Research
- Genetic diversity and population structure
- Atmospheric chemistry and aerosols
- Hydrology and Watershed Management Studies
- Aeolian processes and effects
- Species Distribution and Climate Change
- Solar Radiation and Photovoltaics
- Data Management and Algorithms
- Data Analysis with R
- Urban Green Space and Health
- Soil Carbon and Nitrogen Dynamics
- Building Energy and Comfort Optimization
- Impact of Light on Environment and Health
Ben-Gurion University of the Negev
2016-2025
University of Central Oklahoma
2021
Oklahoma Biological Survey
2021
University of Oklahoma
2021
Oklahoma State University
2021
The Technological College of Beer Sheva
2015
Abstract Tree mortality is a key factor influencing forest functions and dynamics, but our understanding of the mechanisms leading to associated changes in tree growth rates are still limited. We compiled new pan‐continental tree‐ring width database from sites where both dead living trees were sampled (2970 4224 190 sites, including 36 species), compared early recent between that died those survived given event. observed decrease radial before death ca. 84% events. The extent duration these...
Satellite-derived estimates of aerosol optical depth (AOD) are key predictors in particulate air pollution models. The multi-step retrieval algorithms that estimate AOD also produce quality control variables but these have not been systematically used to address the measurement error AOD. We compare three machine-learning methods: random forests, gradient boosting, and extreme boosting (XGBoost) characterize correct Multi-Angle Implementation Atmospheric Correction (MAIAC) 1 × km product for...
Forest ecosystems function under increasing pressure due to global climate changes, while factors determining when and where mortality events will take place within the wider landscape are poorly understood. Observational studies essential for documenting forest decline events, understanding their determinants, developing sustainable management plans. A central obstacle towards achieving this goal is that often patchy across a range of spatial scales, characterized by long-term temporal...
Abstract. The atmospheric products of the Multi-Angle Implementation Atmospheric Correction (MAIAC) algorithm include column water vapor (CWV) at a 1 km resolution, derived from daily overpasses NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) instruments aboard Aqua and Terra satellites. We have recently shown that machine learning using extreme gradient boosting (XGBoost) can improve estimation MAIAC aerosol optical depth (AOD). Although CWV is generally well validated...
Knowing the extent and structure of genetic variation in an endangered species is essential for establishing efficient conservation practices. However, proper use this information requires understanding role habitat-specific selection structuring. We present a study population differentiation that utilizes guidelines recently proposed quasi situ approach, i.e. taking into account scale spatial pattern local adaptation since if important, introduced genotypes must be matched to biotic/abiotic...
This paper introduces the shadow package for R. The provides functions shadowrelated calculations in urban environment, namely height, footprint and Sky View Factor (SVF) calculations, as well a wrapper function to estimate solar radiation while taking effects into account.All operate on layer of polygons with height attribute, also known "extruded polygons" or 2.5D vector data.Such data are associated accuracy limitations representing environments.However, unlike 3D models, polygonal layers...
Preterm birth is a major determinant of adverse health consequences, and early term births are also associated with increased risk various outcomes. In light climate change, the effect ambient temperature on earlier delivery an important factor to consider. Several studies have focused associations air (Ta) preterm birth, but few examined births.
In recent years, there has been growing interest in developing air pollution prediction models to reduce exposure measurement error epidemiologic studies. However, efforts for localized, fine-scale have predominantly focused the United States and Europe. Furthermore, availability of new satellite instruments such as TROPOsopheric Monitoring Instrument (TROPOMI) provides novel opportunities modeling efforts. We estimated daily ground-level nitrogen dioxide (NO2) concentrations Mexico City...
Local adaptation is a commonly observed result of natural selection acting in heterogeneous environment. Common-garden experiments are method detecting local adaptation, as well studying phenotypic plasticity and gradients traits. The present study aimed to analyse reaction norms four closely-related Iris species section Oncocyclus identify role environmentally-specific their plastic responses. plant vegetative phenological, performance traits were measured full factorial common-garden...
Abstract Coastal dunes are fragile dynamic environments characterised by low productivity and high levels of bare shifting sands. They highly threatened urbanisation human development. The in Nizzanim Dunes Nature Reserve, Israel, have additionally incurred shrub encroachment following exclusion grazing wood extraction from the area. temporal changes over last few decades been monitored Long‐Term Ecological Research project reflected spatial heterogeneity. Some fixed with plant cover...