Main Title |
Climate Data and Analysis for the New England Forest Health Monitoring Project (NEFHM/EMAP Forests). |
Author |
Cooter, E. J. ;
LeDuc, S. K. ;
Truppi, L. ;
Block, D. R. ;
|
CORP Author |
National Oceanic and Atmospheric Administration, Research Triangle Park, NC. Air Resources Lab. ;ManTech Environmental Technology, Inc., Research Triangle Park, NC.;Environmental Protection Agency, Research Triangle Park, NC. Atmospheric Research and Exposure Assessment Lab. |
Publisher |
c1991 |
Year Published |
1991 |
Report Number |
EPA/600/D-91/107; |
Stock Number |
PB91-196071 |
Additional Subjects |
Climatology ;
Ecology ;
Environmental surveys ;
Data processing ;
Forests ;
Climatic changes ;
Mathematical models ;
New England Forest Health Monitoring Project ;
Environmental Monitoring and Assessment Program
|
Holdings |
Library |
Call Number |
Additional Info |
Location |
Last Modified |
Checkout Status |
NTIS |
PB91-196071 |
Some EPA libraries have a fiche copy filed under the call number shown. |
|
07/26/2022 |
|
Collation |
25p |
Abstract |
The paper describes the development of climatological information products to support ecological data collection and analysis. Characteristics of climatological persistence and recurrence that are critical to New England forest health and productivity are identified. The appropriate data are assembled and presentations developed which address specific issues pertinent to climate change research; background (status and persistence); most recent decade (short-term trends); and near-term impacts (modeling and prediction). A Geographic Information System (GIS) is used for presentation, data management and analysis. Preliminary results of the research have been incorporated in United States Department of Agriculture Forest Service monitoring program reports. The application of regional climate research techniques to assessment and integrated activities of the Environmental Protection Agency (EPA) Environmental Monitoring and Assessment Program (EMAP) is being actively explored. Its future use in climate/forest integrated modeling is anticipated. |