- 1 Are birds philopatric? -> locations ~same across years?* Analysis: Group points into summer/migration/winter/rest(?) Find MCPs (minimum convex polygons) around nesting/summer locations
2 Different phenologies between travel distances? (net displacement vs time of migration/travel speed/travel time/#of rests)
3 Commonalities of habitat type/ecogeographic classification of coast/city/other within birds between summer/winter places? 4 GPS data representative of all occurences? -> GPS data area as % of GBIF data area
(1. Assess the sampling effort across the years (plot counts ~ years)) 2. Map the occurrences in North America between 2013 and 2018 (dates from the GPS data) 3. Overlay with habitat and climate data -> need those data 4. % habitat occupation across years -> GBIF/bison 5. Shifts in ranges (derived from 95% occurrence data) over the studied years
- a. Overlay with occurrence data -> stats?
- b. Paths characteristics: straightness, step length to assess "dispersivity" -> not informative, especially w/ heterogeneous sampling schedule (2. b. Assess number of habitats crossed over during migration -> informative? Seems like they fly ± straight line) --> Compare between Idaho and Texas datasets
- a. for each dataset, on a smaller region, assess movements and path characteristics across a gradient of habitat quality, degradation and human use.
- b. assess connectivity and movement paths with something like circuitscape ? over the years if possible?