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Impact of Forest Service Activities on Stream Flow
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Impact of Forest Service Activities on Stream Flow
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Last modified
1/26/2010 4:41:00 PM
Creation date
7/20/2009 11:44:54 AM
Metadata
Fields
Template:
Water Supply Protection
File Number
8461.250
Description
Water Issues
State
CO
Basin
South Platte
Water Division
1
Date
5/22/2003
Author
Charles A. Troendle, James M. Nankervis, Laurie S. Porth
Title
Impact of Forest Service Activities on Stream Flow
Water Supply Pro - Doc Type
Report/Study
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<br />Troendle/Nankervis/Porth Page 3 5/22/2003 <br />tributaries. Laurie Porth, Biometrician with the RMRS, along with C. A. Troendle, had the lead <br />in accomplishing this task. <br />a) Double-mass analysis techniques were used to identify and validate the consistency of <br />long-term stream flow data from as many 9 stream gauging stations in the North and <br />South Platte River basins. Long term NRCS automatic and manual snow course sites <br />were evaluated for consistency of record and paired with the stream gauges. Snow course <br />data, as well as appropriate and representative long-term rainfall data, were then <br />compared with long-term stream flow data to evaluate the stability of long-term <br />hydrologic response at vazious points in the watersheds. As a result, a series of USGS <br />stream gauging locations with long-term databases were identified that would be useful in <br />detecting future change in flow. <br />b) For each of the reference stream gauging sites, an analytical procedure was developed <br />that: 1) characterizes the relationship between pre-1997 stream flow and snow pack <br />accumulation or precipitation at 3 or more nearby sites, 2) allows user input of post-1997 <br />data for stream flow and snow pack or precipitation, and 3) compares graphically and <br />tests statistically whether the post-1997 data departs from the pre-1997 data. <br />Results <br />Management Impacts on Water Yield <br />In the earlier analysis of the historical impacts of forest management activities on water yield <br />from the North Platte River, the data in the stand polygon maps provided by the respective <br />National Forests was aggregated based on similazities in aspect, elevation, species composition, <br />etc. as a means of reducing the data base to a manageable size (Troendle and Nankervis 2000). In <br />the analysis reported on here, Andrew Peavy (GIS Analyst, USFS Inventory and Monitoring <br />Institute, Fort Collins, CO) assisted in developing the data into a GIS platform, Peavy combined <br />the stand polygon maps provided by each forest into a composite for all forests. He then matched <br />and clipped that data using the watershed boundary for the North Platte River. Relative to the <br />eazlier effort, the total azea of the National Forest land in the North Platte River Basin was <br />reduced by approximately 100 acres because of areas of overlap along the boundaries of adjacent <br />Forests. The individual stand polygons were then intersected with the Oregon State University <br />Climatic maps for Colorado and Wyoming to obtain an estimate of the average monthly <br />precipitation input to each of the individual polygons. In the earlier effort, average monthly <br />precipitation for polygon aggregates was estimated using elevation relationships developed from <br />the same climatic maps (see Troendle and Nankervis 2000). Using the GIS to estimate <br />precipitation for each individual polygon is far more robust than the eazlier procedure since it <br />allows maintaining the identity of each polygon but the approach resulted in a 6-percent <br />reduction in the estimate of average precipitation input to the North Platte watershed. As part of <br />this effort, Mel Mehl (Renewable Resources, USFS Region 2, Denver, CO) provided additional <br />information on timber harvest activity that occurred on each of the Forests, by year, from 1997 to <br />2001. The activity data, also in polygon form, was intersected with the original stand polygon <br />data to describe initial and post harvest conditions in stands tha.t ha.d been impacted between <br />1997 and 2001. The result was the development of a GIS database containing information on the
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