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Details

Autor(en) / Beteiligte
Titel
Discrimination among similarly colored goose species in federal harvest surveys
Ist Teil von
  • The Journal of wildlife management, 2024-07, Vol.88 (5), p.n/a
Ort / Verlag
Bethesda: Blackwell Publishing Ltd
Erscheinungsjahr
2024
Quelle
Wiley Blackwell Single Titles
Beschreibungen/Notizen
  • Each year in the United States, fall‐winter (sport) harvests of goose species are estimated from federal surveys coordinated by the United States Fish and Wildlife Service, including the Migratory Bird Harvest Survey to estimate total goose harvest and the Parts Collection Survey (PCS) to estimate the species and age composition. For the PCS, randomly selected hunters collect tail and wing feathers of each goose shot during the hunting season, and then biologists determine the age class and species of each sample at organized events (Wingbees) in each of the 4 flyways (Pacific, Central, Mississippi, and Atlantic). For similarly colored goose species, cackling (Branta hutchinsii) versus Canada (B. canadensis) geese (dark geese) and Ross's (Anser rossii) versus snow (A. caerulescens) geese (light geese), different protocols evolved among Wingbees to differentiate samples into groupings of management interest, leading to difficulties in estimating species‐level harvests among the 4 flyways or nationally. We conducted a study among the United States flyways during 2019–2022 to derive thresholds of central tail feather length to discriminate between dark geese and between light geese. We compared morphological‐ and genetic‐based approaches. There was support for 2 distinct mitochondrial DNA (mtDNA) clades in dark and light geese, but only dark goose clades corresponded with central tail feather lengths (morphological size and species identification). Derived thresholds for central tail feather lengths of dark geese in the 3 westernmost flyways using genetic‐based species' discrimination were 145 mm for adults and 134 mm for juveniles, approximately 13 mm and 9 mm less, respectively, than thresholds using morphological‐based species' discrimination. There was limited ability to discriminate light geese based on either mtDNA or central tail feather lengths. We suggest managers use our derived thresholds based on genetic‐based species' discrimination to classify dark goose PCS samples. More advanced genome analyses should be conducted before changing current Wingbee protocols for light geese. Lastly, we encourage more studies to incorporate genetic analyses to complement morphological discrimination. We evaluated genetic‐ and morphological‐based methods to discriminate between cackling (Branta hutchinsii) versus Canada (B. canadensis) geese (dark geese) and Ross's (Anser rossii) versus snow (A. caerulescens) geese (light geese) tail feather samples submitted to the United States Fish and Wildlife Service Parts Collection Survey. We found a greater ability to discriminate between dark geese than light geese, and genetic‐based methods were more accurate than morphological‐based methods. We recommended new genetic‐based central tail feather length thresholds to separate dark geese and that more advanced genome analyses of light geese be conducted.

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