|
|
|
| RecordID | BES_409 |
| ID | |
| PublicationDate | 2/14/2007 |
| Title | Stream chemistry data for McDonogh (agricultural) watershed |
| Edition | 1.0 |
| Publication Place | Millbrook, NY |
| Publisher | Peter Groffman , Email: groffmanp@ecostudies.org |
| Online Linkage | http://www.beslter.org/pub/stream/McDonogh_final_chemistry_WWW_nov2009.txt |
| Abstract | In the Baltimore urban long-term ecological research (LTER) project, (Baltimore Ecosystem Study, BES) we use the watershed approach to evaluate integrated ecosystem function. The LTER research is centered on the Gwynns Falls watershed, a 17,150 ha catchment that traverses a gradient from the urban core of Baltimore, through older urban residential (1900 - 1950) and suburban (1950- 1980) zones, rapidly suburbanizing areas and a rural/suburban fringe. Our long-term sampling network includes four longitudinal sampling sites along the Gwynns Falls as well as several small (40 - 100 ha) watersheds located within or near to the Gwynns Falls. The longitudinal sites provide data on water and nutrient fluxes in the different land use zones of the watershed (rural/suburban, rapidly suburbanizing, old suburban, urban core) and the small watersheds provide more focused data on specific land use areas (forest, agriculture, rural/suburban, urban). Each of the gaging sites is continuously monitored for discharge and is sampled weekly for chemistry. Additional chemical sampling is carried out in a supplemental set of sites to provide a greater range of land use. Weekly analyses includes nitrate, phosphate, total nitrogen, total phosphorus, chloride and sulfate, total suspended solids, turbidity, fecal coliforms, temperature, dissolved oxygen and pH. Cations, dissolved organic carbon and nitrogen and metals are measured on selected samples. This dataset is for McDonogh, an 8 ha agricultural reference site located at the McDonogh school. |
| Purpose | Long-term monitoring of stream chemistry in an agricultural watershed. |
| Supplemental Info | Cary Institute of Ecosystem Studies; Post Office Box AB, 2801 Sharon Turnpike; Millbrook; NEW YORK; USA; |
| Is GIS (1 yes 0 no)? | 0 |
| West | -77.314183 |
| East | -76.012008 |
| North | 39.724847 |
| South | 38.708367 |
| Presentation Form | |
| Data Credit | The scientists, the BES-LTER Program, and the Cary Institute of Ecosystem Studies must receive adequate acknowledgement for the use of data by other scientists, and the BES LTER program must receive two copies of any publication using that data. |
| Reference Name | |
| Reference Place | |
| Reference EMail | |
| Theme Keywords | stream,watershed,nitrate,phosphate,nitrogen,phosphorus,chloride,sulfate RG: Baltimore Ecosystem Study |
| Place Keywords | Baltimore, MD, Washington, D.C, Chesapeake Bay, Baltimore-Washington, Maryland |
|
Projection/datum/units: UTM Zone 18/NAD 83/meters The metadata provided for these
data is in Ecological Metadata Language (EML) format. Information on EML is online: Please contact Jonathan Walsh, BES Information Manager WalshJ@CaryInstitute.org with questions or comments. This research was supported by funding from the NSF Long-term Ecological Research (LTER) Program. This material is based upon work supported by the National Science Foundation under Grant No. 0423476. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. These data are made available for scientific interests that agree to cite the data and source appropriately. There is a time between the collection of most of these data and their subsequent availability via this website in order to give the investigator adequate time to present findings in scientific literature. Users are requested to notify the publisher of the purpose of data use and acknowledge the source if used in a publication. No commercial use is permitted. The publisher disclaims any responsibility for errors that may or may not exist within the data, and the user assumes all responsibility for errors in analysis or judgment associated with the data. |