Filters: partyWithName: Southeast CASC (X) > Extensions: Citation (X)
Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > Southeast CASC > FY 2013 Projects > Downscaling Climate Projections to Understand Future Temperature and Precipitation Patterns in the Southeast > Approved Products ( Show direct descendants )
2 results (8ms)
Location
Folder
ROOT _ScienceBase Catalog __National and Regional Climate Adaptation Science Centers ___Southeast CASC ____FY 2013 Projects _____Downscaling Climate Projections to Understand Future Temperature and Precipitation Patterns in the Southeast ______Approved Products Filters
Date Range
Types Contacts Categories |
Abstract (from American Society of Agricultural and Biological Engineers): Agricultural best management practices (BMPs) reduce nonpoint-source pollution from cropland. Goals for BMP adoption and expected pollutant load reductions are often specified in water quality management plans to protect and restore waterbodies; however, estimates of the needed load reductions and pollutant removal performance of BMPs are generally based on historic climate. Increasing air temperatures and changes in precipitation patterns and intensity are anticipated throughout the U.S. over the 21st century. The effects of such changes on agricultural pollutant loads have been addressed by several studies, but how these changes will affect...
Categories: Publication;
Types: Citation
Abstract (from Journal of Economic Entomology): Emerald ash borer, Agrilus planipennis Fairmaire (Coleoptera: Buprestidae), is one of the most serious forest pests in the United States. Ongoing research indicates that establishment of larval parasitoids depends upon the season-long availability of host stages susceptible to parasitism. We monitored emerald ash borer overwintering stages at 90 sites across 22 states to: 1) produce a model of the percentage of emerald ash borer overwintering as non-J larvae; 2) link that model to establishment of Tetrastichus planipennisi; and 3) explore changes to our model under climate change scenarios. Accumulated growing degree days (GDD) is an important predictor of the proportion...
Categories: Publication;
Types: Citation
|