Taiga Bean-Goose (Anser fabalis)

2020 ◽  
Author(s):  
Carles Carboneras ◽  
Guy M. Kirwan
Keyword(s):  
Bean Goose ◽  
Anser Fabalis

Isolation, characterization and multiplex PCR development of Bean Goose (Anser fabalis) microsatellite loci

2015 ◽  
Vol 157 (2) ◽  
pp. 641-646 ◽  
Author(s):  
Oddmund Kleven ◽  
Rolf T. Kroglund ◽  
Jan E. Østnes
Keyword(s):  
Multiplex Pcr ◽  
Microsatellite Loci ◽  
Bean Goose ◽  
Anser Fabalis

scholarly journals Modeling Eastern Russian High Arctic Geese (Anser fabalis, A. albifrons) during moult and brood rearing with Machine Learning, Open Access GIS and 24 years-long Big Data: Good Evidence for the New Digital Arctic of 2021

2021 ◽  
Author(s):  
Diana Solovyeva ◽  
Inga Bysykatova-Harmey ◽  
Sergey L. Vartanyan ◽  
Alexander Kondratyev ◽  
Falk Huettmann
Keyword(s):  
Open Access ◽  
Ecological Niche ◽  
Global Climate ◽  
High Arctic ◽  
Good Evidence ◽  
Fine Tuning ◽  
Relative Index ◽  
New Findings ◽  
Bean Goose ◽  
Anser Fabalis

Abstract Many polar species and habitats are now affected by man-made global climate change and underlying infrastructure; it makes for a New Arctic. Arctic grazers, like Eastern Russian migratory populations of Tundra Bean Goose Anser fabalis and Greater White-fronted Goose A. albifrons, are affected along the entire flyway in East Asia, namely China, Japan and Korea. Here we present the best-available long-term 24 years digitized GIS data for the breeding study area (East Yakutia and Chukotka) and its habitats with ISO-compliant metadata. Further, we used seven publically available GIS predictor layers to predict the distribution for these two species within the tundra habitats. We are able to improve on the ecological niche prediction inference for both species by focusing for the first time specifically on biological relevant aspects: post-breeding moulting non-breeders, as well as post-breeding parent birds with broods. We then assessed it with 4 lines of evidence including alternative best-available open access field data from GBIF.org as well as compiled literature and found a good model accuracy in support of our evidence for a robust inference of these new findings. Our predictions indicate a relative index of occurrence (RIO) based on the quantified ecological niche showing more realistic gradual occurrence patterns and that are not fully in agreement with the current strictly applied parsimonious flyway and species delineations. While our predictions are to be improved further, e.g. when synergetic data are made freely available, here we offer the first open access model platform for fine-tuning and future predictions for this otherwise poorly represented region in times of a highly changing industrialized ‘new’ arctic with global repercussions.

scholarly journals Changes in local distribution and numbers of staging and wintering Bean Geese Anser fabalis in Scania, south Sweden 1977/1978–2016/2017

Ornis Svecica ◽  
2017 ◽  
Vol 27 (2–4) ◽  
Author(s):  
Leif Nilsson
Keyword(s):  
Small Area ◽  
Coastal Region ◽  
Local Distribution ◽  
Southern Sweden ◽  
Large Numbers ◽  
Bean Goose ◽  
South Sweden ◽  
Anser Fabalis ◽  
Global Population ◽  
Different Parts

Scania in southern Sweden is an important staging and wintering province for the Bean Goose Anser fabalis, especially for the Taiga form A. f. fabalis. Based on counts in October, November and January 1977/1978–2016/2017, and observations of neck-banded individuals, the changes in local distribution are described. When the counts started, large numbers were counted already in October, but autumn numbers steadily decreased as the geese stayed further north in Sweden. The January counts on the other hand increased as the geese wintered in Scania in successively larger numbers rather than leaving Sweden. In January 2017, more than 40,000 or two-thirds of the global population of Taiga Bean Goose were counted in Scania. Within the province, more and more geese concentrated to inland areas and instead of using the Öresund coastal region as in earlier years. Birds from different breeding areas, e.g. from Finland and Sweden, used different parts of Scania. In recent years 3000–9000 of Tundra Bean Geese Anser f. rossicus have been wintering in a small area in northeast Scania.

scholarly journals The Complete Mitochondrial Genome of Bean Goose (Anser fabalis) and Implications for Anseriformes Taxonomy

PLoS ONE ◽  
2013 ◽  
Vol 8 (5) ◽  
pp. e63334 ◽  
Author(s):  
Gang Liu ◽  
Lizhi Zhou ◽  
Lili Zhang ◽  
Zijun Luo ◽  
Wenbin Xu
Keyword(s):  
Mitochondrial Genome ◽  
Complete Mitochondrial Genome ◽  
Bean Goose ◽  
Anser Fabalis

scholarly journals Detection of a Novel Reassortant H9N9 Avian Influenza Virus in Free-Range Ducks in Bangladesh

Viruses ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 2357
Author(s):  
Rabeh El-Shesheny ◽  
Jasmine C. M. Turner ◽  
David Walker ◽  
John Franks ◽  
Patrick Seiler ◽  
...  
Keyword(s):  
Influenza A ◽  
Aquatic Birds ◽  
Influenza A Viruses ◽  
Domestic Ducks ◽  
Free Range ◽  
Ha Gene ◽  
Routine Surveillance ◽  
Bean Goose ◽  
Eurasian Lineage ◽  
Anser Fabalis

Wild aquatic birds are the primary natural reservoir for influenza A viruses (IAVs). In this study, an A(H9N9) influenza A virus (A/duck/Bangladesh/44493/2020) was identified via routine surveillance in free-range domestic ducks in Bangladesh. Phylogenetic analysis of hemagglutinin showed that the H9N9 virus belonged to the Y439-like lineage. The HA gene had the highest nucleotide identity to A/Bean Goose (Anser fabalis)/South Korea/KNU 2019-16/2019 (H9N2). The other seven gene segments clustered within the Eurasian lineage.

Management of a Severe Cervical Degloving Injury in a Bean Goose (Anser fabalis serrirostris)

2020 ◽  
Vol 37 (1) ◽  
pp. 53-56
Author(s):  
Jiwon Son ◽  
Haerin Rhim ◽  
Hong-Cheul Kim ◽  
Jieun Bae ◽  
Jae-Ik Han
Keyword(s):  
Degloving Injury ◽  
Bean Goose ◽  
Anser Fabalis
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