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Hot off the open-access presses: a brand new article coauthored by @DrDanielGillis and myself!
"The utility of joinpoint regression for estimating population parameters given changes in population structure"
https://www.cell.com/heliyon/fulltext/S2405-8440(19)36175-4#.XdgRUqs8dh4.twitter
#rstats #statistics #ecology
"The utility of joinpoint regression for estimating population parameters given changes in population structure"
https://www.cell.com/heliyon/fulltext/S2405-8440(19)36175-4#.XdgRUqs8dh4.twitter
#rstats #statistics #ecology
In this study, we investigated the use of joinpoint regression for estimating if/when population parameters change in a time series, using Lake Huron lake whitefish (Coregonus clupeaformis) as a case study.
Joinpoint (or changepoint) regression allows for different slopes to be estimated through time, which is useful for picking up changes in, say, the catchability coefficient q or growth rate r in a standard surplus production model of fish.
This is particularly useful for well-studied fish populations (such as L. Huron lake whitefish) to track where populations might have struggled due to external stressors such as overharvesting or climate change effects.
Many previous joinpoint studies were focused on epidemiological case studies (e.g. cancer occurrence), so we were excited to apply this methodology to an ecological system!
Here is the link once again if you are interested in checking it out: https://www.cell.com/heliyon/fulltext/S2405-8440(19)36175-4#.XdgTkyjkVY8.twitter
Here is the link once again if you are interested in checking it out: https://www.cell.com/heliyon/fulltext/S2405-8440(19)36175-4#.XdgTkyjkVY8.twitter
