Cat Morrison
@catmorrison.bsky.social
Statistician/modeller in ecology & environmental science @bioss.bsky.social. Fascinated by migratory birds & their demography. Big fan of cake motivated exercise. Chair of the @bou.org.uk meetings committee.
More exciting synchrony-based results can be read in the paper and many happy hours can be spent exploring our maps of abundance and demographic synchrony here: synchrony.uea.ac.uk.
@jengill.bsky.social @simon-butler.bsky.social @biouea.bsky.social @ueaceec.bsky.social
@jengill.bsky.social @simon-butler.bsky.social @biouea.bsky.social @ueaceec.bsky.social
Here we present the results of the analysis of synchrony in annual population count, productivity, and survival for 26 species across 995 sites monitored from 1998 to 2019 under the European Constant Effort Scheme (CES) (Morrison et al. in prep.).
synchrony.uea.ac.uk
May 19, 2025 at 7:44 AM
More exciting synchrony-based results can be read in the paper and many happy hours can be spent exploring our maps of abundance and demographic synchrony here: synchrony.uea.ac.uk.
@jengill.bsky.social @simon-butler.bsky.social @biouea.bsky.social @ueaceec.bsky.social
@jengill.bsky.social @simon-butler.bsky.social @biouea.bsky.social @ueaceec.bsky.social
Using wavelet analysis, we show that synchrony in both demographic rates occurred more commonly over long timescales in European-resident species and short timescales in subSaharan-migrant species.
May 19, 2025 at 7:44 AM
Using wavelet analysis, we show that synchrony in both demographic rates occurred more commonly over long timescales in European-resident species and short timescales in subSaharan-migrant species.
Using spatial correlograms we estimated the scale and strength of synchrony and show that synchrony is strongest and largest scale in productivity and weakest and smallest scale in count.
May 19, 2025 at 7:44 AM
Using spatial correlograms we estimated the scale and strength of synchrony and show that synchrony is strongest and largest scale in productivity and weakest and smallest scale in count.