P-ISSN 0008-0845
E-ISSN 2160-8091
Vol. 59, Issue 3, 2005July 01, 2005 PDT
Statistical analysis of monitoring data aids in prediction of stream temperature
Statistical analysis of monitoring data aids in prediction of stream temperature
K Tate, D Lile, D Lancaster, M Porath, J Morrison, Y Sado,
Articles in Vol. 59, Issue 3, 2005
Vol. 59, Issue 3, 2005
- ANR pursues excellence in research, development and deliveryR Standiford
- Letters: July-September 2005California Agriculture
- Monitoring aids control of ag-related stream-temperature increasesR Meadows
- Beef quality program meets evolving consumer and producer concernsJ Stumbos
- Graphical analysis facilitates evaluation of stream-temperature monitoring dataK TateD LileD LancasterM PorathJ MorrisonY Sado
- Statistical analysis of monitoring data aids in prediction of stream temperatureK TateD LileD LancasterM PorathJ MorrisonY Sado
- Monitoring helps reduce water-quality impacts in flood-irrigated pastureK TateD LancasterJ MorrisonD LileY SadoB Huang
- Soil sterilization and organic carbon, but not microbial inoculants, change microbial communities in replanted peach orchardsR DrenovskyR DuncanK Scow
- Site-specific herbicide applications based on weed maps provide effective controlM KollerW Lanini
- Drip irrigation can effectively apply boron to San Joaquin Valley vineyardsW PeacockL Christensen
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.