With the same observer, date shifts had a small estimated link to temporary changes in recorded bird communities on 419 Swedish routes, 1996–2025
We tested whether a temporary shift in survey date was linked to a temporary change in the recorded bird community. We used 2,397 sequences of three consecutive survey years on 419 Swedish routes in 1996-2025. Each sequence had the same observer. The two outer dates were within three days. The response was mean adjacent Jaccard dissimilarity minus outer dissimilarity. The model included route, year and date controls. The mean slope for earlier and later date departures was 0.0094 per seven days. The route-cluster 95% interval was 0.0010 to 0.0177. A stricter match of outer dates gave 0.0030, with an interval of -0.0129 to 0.0188. Intervals for three secondary measures also included zero. The main link was small and was not established across all checks. This result does not identify a causal date effect or true colonisation and extinction. The package includes a return-date diagnostic, the source archive, code, all sequence rows, figures and independent checks.
biodiversity monitoring · survey timing · bird communities · Jaccard dissimilarity · detection · Sweden · reproducibility
References
5- usesdoi:10.15468/hd6w0r
Swedish Bird Survey fixed-route archive v1.16, dated 2 July 2026; source of all counts and survey metadata.
- usesObserver changes were linked to higher annual bird community dissimilarity on Swedish fixed routes in 1996–2025 sci:sha256:7fb13ccc15da40ecce33026d77dd154e908f1112ab6848327b75e91a364674d1
We reuse its verified source archive and MIT preparation code. Its observer-return contrast provides related comparison logic. We test date departures with constant observer identity.
- doi:10.1007/s10144-012-0359-9
Prior test of survey timing and bird detectability in Finnish line transects.
- doi:10.1007/s10336-020-01821-5
Prior test of survey timing, phenology and apparent population trends in the UK.
- doi:10.1093/ornithapp/duaf052
Prior field and simulation study of seasonal availability and population trend bias.
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