Water quality monitoring at Saint-Gaudens National Historic Site: Northeast Temperate Network 2011 summary report.

Gawley WG. 2012. Water quality monitoring at Saint-Gaudens National Historic Site: Northeast Temperate Network 2011 summary report.. Natural Resource Data Series. NPS/NETN/NRDS—2012/336. National Park Service. Fort Collins, Colorado

This report on the water quality of Saint-Gaudens National Historic Site (SAGA) generated by the Northeast Temperate Network (NETN) Water Quality Monitoring Program includes data gathered in the 2011 monitoring season and displays these results in graphic form, accompanied by a brief interpretation. Appendix A contains data collected from 2006 through 2011. The vital signs for freshwater bodies included in the NETN Freshwater Monitoring Protocol (Lombard et al 2006) are water chemistry, nutrient enrichment, water quantity, and the detection of invasive plant species. These metrics were chosen to address the NPS Inventory and Monitoring Program objective to detect change in the status of physical, chemical, or biological attributes of the ecosystem. The NETN Freshwater Monitoring Protocol calls for a total of one park pond and two park streams to be sampled monthly from May through October. A cooperator from the University of Vermont or a NETN hydrologic technician measured physical and in-situ water chemistry parameters each month and periodically collected water samples for analysis at the University of Maine’s Sawyer Environmental Chemistry Research Laboratory. All monitoring data are incorporated into a series of comprehensive databases that ultimately feed the U.S. Environmental Protection Agency’s “STORET” data system, the repository for all NPS water quality and quantity data.

Type
Published Report
Authors
Gawley, William
Date of Issue
2012-06
Publisher
National Park Service
Units
NETN , NRSS , SAGA
Keywords
blow me down, blow me up, Gawley, Lakes, lakes and streams, Monitoring, NETN, Northeast Temperate Network, SAGA, Saint-Gaudens, Schuetz, Streams, Water, Water Quality

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