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Statistical analysis of monitoring data aids in prediction of stream temperature

Authors :
K Tate
D Lile
D Lancaster
M Porath
J Morrison
Y Sado
Source :
California Agriculture, Vol 59, Iss 3 (2005)
Publication Year :
2005
Publisher :
University of California Agriculture and Natural Resources, 2005.

Abstract

Declines in cold-water habitat and fisheries have generated stream-temperature monitoring efforts across Northern California and the western United States. We demonstrate a statistical analysis approach to facilitate the interpretation and application of these data sets to achieve monitoring objectives. Specifically, we used data collected from the Willow and Lassen creek watersheds in Modoc County to demonstrate a method for identifying and quantifying potential relationships between stream temperature and factors such as stream flow, canopy cover and air temperature. Our monitoring data clearly indicated that a combination of management practices to increase both in-stream flow and canopy cover can be expected to reduce stream temperature on the watersheds studied.

Subjects

Subjects :
Agriculture

Details

Language :
English
ISSN :
21608091 and 00080845
Volume :
59
Issue :
3
Database :
Directory of Open Access Journals
Journal :
California Agriculture
Publication Type :
Academic Journal
Accession number :
edsdoj.47005805957b4242b4487e42e736a29f
Document Type :
article
Full Text :
https://doi.org/10.3733/ca.v059n03p161