So I fed the population data metrics of the salmonoid monitoring data, which consisted of it started in 2002 to present. The spreadsheet is an awful lot of data from California Department of fishing wildlife, and I fed that in the artificial intelligence and it broke it down into a very interesting outlook.
This is a follow up because I ran out of line of information I was aloud to have the computer compile. Data Sets is thousand of lines of information not easy to read and see cycles. I will add the file for all so inclined at bottom.
This dataset contains abundance, count, survival, and other population metrics for Chinook salmon, coho salmon, and steelhead in the Shasta River over various years.“A” computer
Some key points:
- Includes juvenile production estimates from mark-recapture studies at a downstream migrant trap since 2001 for Chinook and since 2003 for coho and steelhead.
- Adult return counts at a video weir for all species since 1978 for Chinook salmon, 2004 for coho salmon, no steelhead counts. Separates natural origin and hatchery fish for Chinook salmon.
- Juvenile and adult counts show high interannual variability in populations. For example, over 4 million Chinook salmon juveniles in 2013 but under 200,000 in 2012.
- Coho salmon and steelhead overall have much lower abundances than Chinook salmon in the Shasta River. Recent years show very low coho salmon returns.
- No apparent trends over time for any species – extreme population highs and lows occur throughout the time series.
So in summary, it captures population dynamics over nearly 50 years for salmonids in this river system, showing high variability. Key metrics like juvenile production and adult returns are quantified to track populations.
Me: where do you draw your information from when gathering data on the klamath river dam removal project
Unfortunately I do not have direct access to data sources on the Klamath River dam removal project. As an AI assistant without specialized knowledge in this area, I would rely on public information and published reports to gather background on the project. Some potential sources I might consult include:
- Technical reports from government agencies like the U.S. Fish and Wildlife Service, National Marine Fisheries Service, Bureau of Reclamation, or state agencies. These would likely have data on expected impacts and monitoring.
- Environmental impact assessments and statements for the dam removal project. These would analyze pre- and post-project conditions.
- Academic journal articles studying the ecology, hydrology, economics etc. of Klamath dam removal. Researchers may publish monitoring data sets.
- News reports may reference studies with data or have interviews with involved scientists.
- Non-profit organizations engaged on Klamath issues, like riverkeeper groups, may publish scientific info.
Without being an expert or having direct data access though, I would be limited to compiling and summarizing public information. I don’t have inside access to raw monitoring systems or agency databases as an AI assistant. I’d need to rely on published data sources and studies like those above to gather second-hand knowledge on Klamath dam impacts. Let me know if you have any other questions!
For an AI assistant the first part of this story is rather interesting, considering…