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P-ISSN 0008-0845
E-ISSN 2160-8091
Research Article
Vol. 59, Issue 3, 2005July 01, 2005 PDT

Statistical analysis of monitoring data aids in prediction of stream temperature

K Tate, D Lile, D Lancaster, M Porath, J Morrison, Y Sado,
Copyright Logoccby-nc-nd-4.0 • https://doi.org/10.3733/ca.v059n03p161

Articles in Vol. 59, Issue 3, 2005

Vol. 59, Issue 3, 2005
  • ANR pursues excellence in research, development and delivery
    R Standiford
  • Letters: July-September 2005
    California Agriculture
  • Monitoring aids control of ag-related stream-temperature increases
    R Meadows
  • Beef quality program meets evolving consumer and producer concerns
    J Stumbos
  • Graphical analysis facilitates evaluation of stream-temperature monitoring data
    K TateD LileD LancasterM PorathJ MorrisonY Sado
  • Statistical analysis of monitoring data aids in prediction of stream temperature
    K TateD LileD LancasterM PorathJ MorrisonY Sado
  • Monitoring helps reduce water-quality impacts in flood-irrigated pasture
    K TateD LancasterJ MorrisonD LileY SadoB Huang
  • Soil sterilization and organic carbon, but not microbial inoculants, change microbial communities in replanted peach orchards
    R DrenovskyR DuncanK Scow
  • Site-specific herbicide applications based on weed maps provide effective control
    M KollerW Lanini
  • Drip irrigation can effectively apply boron to San Joaquin Valley vineyards
    W PeacockL Christensen
California Agriculture
Tate, K, D Lile, D Lancaster, M Porath, J Morrison, and Y Sado. 2005. “Statistical Analysis of Monitoring Data Aids in Prediction of Stream Temperature.” California Agriculture: The Journal of UC Agriculture and Natural Resources 59 (3): 161–67. https://doi.org/10.3733/ca.v059n03p161.
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