This article is a review examining the effects of forest patches on bees and pollination services to determine how to increase pollination service in agricultural landscapes.

Article exploring the ecology of pollinating bees in urban gardens and farms.

This article presents geomorphic analysis of Xiadian buried fault in eastern Beijing plain (China), based on the analysis of a Satellite Pour l’Observation de la Terre (SPOT-5) image, a high-resolution digital elevation model (DEM) derived from an unmanned aerial vehicle (UAV) system, SRTM DEM and field investigation. Results can provide valuable insight into geomorphic analysis of buried and semi-buried active faults in plain areas with increasingly frequent human activities.

Article describes study which assesses the relative accuracy of volunteer water quality data collected by the Texas Stream Team (TST) citizen science program from 1992–2016 across the State of Texas by comparing it to professional data from corresponding stations during the same time period.

Article describes how environmental air pollution remains a major contributor to negative health outcomes and mortality, but the relationship between socially vulnerable populations and air pollution is not well understood. This paper seeks to understand how air pollution monitor placement strategies and policy may neglect social vulnerabilities and therefore potentially underestimate exposure burdens in vulnerable populations.

This article develops and tests a constrained stochastic weather generator (CSWG) for producing daily mean air temperature and precipitation based on annual mean air temperature and precipitation from tree-ring records. It presents a unique method that can be used to explore historic (e.g., archeological questions) or future (e.g., climate change) daily weather conditions based upon specified annual values.

Article describes survey identifying opportunities for hydrologic modeling and monitoring to support overlapping management contexts.

This article evaluates the effects of orchard development on deep soil water content (SWC) by using a meta-analysis of 162 sampling sites on the loess tableland from 44 peer-reviewed publications. The results showed that the deep SWC in orchards depended on stand age, planting density and annual precipitation.