Using novel spatial mark–resight techniques to monitor resident Canada geese in a suburban environment

Context. Over the past two decades, an increase in the number of resident (non-migratory) Canada geese (Branta canadensis) in the United States has heightened the awareness of human–goose interactions. Aims. Accordingly, baseline demographic estimates for goose populations are needed to help better...

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Main Authors: Rutledge, M. Elizabeth, Sollmann, Rachel, Washburn, Brian E., Moorman, Christopher E., DePerno, Christopher S.
Format: Text
Language:unknown
Published: DigitalCommons@University of Nebraska - Lincoln 2014
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Online Access:https://digitalcommons.unl.edu/icwdm_usdanwrc/1664
https://digitalcommons.unl.edu/context/icwdm_usdanwrc/article/2667/viewcontent/Rutledge_WR_2014_Using_novel_spatial_mark.pdf
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spelling ftunivnebraskali:oai:digitalcommons.unl.edu:icwdm_usdanwrc-2667 2023-11-12T04:15:26+01:00 Using novel spatial mark–resight techniques to monitor resident Canada geese in a suburban environment Rutledge, M. Elizabeth Sollmann, Rachel Washburn, Brian E. Moorman, Christopher E. DePerno, Christopher S. 2014-01-01T08:00:00Z application/pdf https://digitalcommons.unl.edu/icwdm_usdanwrc/1664 https://digitalcommons.unl.edu/context/icwdm_usdanwrc/article/2667/viewcontent/Rutledge_WR_2014_Using_novel_spatial_mark.pdf unknown DigitalCommons@University of Nebraska - Lincoln https://digitalcommons.unl.edu/icwdm_usdanwrc/1664 https://digitalcommons.unl.edu/context/icwdm_usdanwrc/article/2667/viewcontent/Rutledge_WR_2014_Using_novel_spatial_mark.pdf USDA Wildlife Services - Staff Publications Branta canadensis density estimation goose movements home range survival urbanisation Life Sciences text 2014 ftunivnebraskali 2023-10-30T11:18:49Z Context. Over the past two decades, an increase in the number of resident (non-migratory) Canada geese (Branta canadensis) in the United States has heightened the awareness of human–goose interactions. Aims. Accordingly, baseline demographic estimates for goose populations are needed to help better understand the ecology of Canada geese in suburban areas. Methods. As a basis for monitoring efforts, we estimated densities of adult resident Canada geese in a suburban environment by using a novel spatial mark–resight method. We resighted 763 neck- and leg-banded resident Canada geese two to three times per week in and around Greensboro, North Carolina, over an 18-month period (June 2008 – December 2009).We estimated the density, detection probabilities, proportion of male geese in the population, and the movements and home-range radii of the geese by season ((post-molt I 2008 (16 July – 31 October), post-molt II 2008/2009 (1 November – 31 January), breeding and nesting 2009 (1 February – 31 May), and post-molt I 2009). Additionally, we used estimates of the number of marked individuals to quantify apparent monthly survival. Key results. Goose densities varied by season, ranging from 11.10 individuals per km2 (s.e. = 0.23) in breeding/nesting to 16.02 individuals per km2 (s.e. = 0.34) in post-molt II. The 95% bivariate normal home-range radii ranged from 2.60 to 3.86 kmfor males and from 1.90 to 3.15 kmfor females and female home ranges were smaller than those of male geese during the breeding/nesting and post-molt II seasons. Apparent monthly survival across the study was high, ranging from 0.972 (s.e. = 0.005) to 0.995 (s.e. = 0.002). Conclusions. By using spatial mark–resight models, we determined that Canada goose density estimates varied seasonally. Nevertheless, the seasonal changes in density are reflective of the seasonal changes in behaviour and physiological requirements of geese. Implications. Although defining the state–space of spatial mark–resight models requires careful consideration, the technique ... Text Branta canadensis Canada Goose University of Nebraska-Lincoln: DigitalCommons@UNL Canada
institution Open Polar
collection University of Nebraska-Lincoln: DigitalCommons@UNL
op_collection_id ftunivnebraskali
language unknown
topic Branta canadensis
density estimation
goose movements
home range
survival
urbanisation
Life Sciences
spellingShingle Branta canadensis
density estimation
goose movements
home range
survival
urbanisation
Life Sciences
Rutledge, M. Elizabeth
Sollmann, Rachel
Washburn, Brian E.
Moorman, Christopher E.
DePerno, Christopher S.
Using novel spatial mark–resight techniques to monitor resident Canada geese in a suburban environment
topic_facet Branta canadensis
density estimation
goose movements
home range
survival
urbanisation
Life Sciences
description Context. Over the past two decades, an increase in the number of resident (non-migratory) Canada geese (Branta canadensis) in the United States has heightened the awareness of human–goose interactions. Aims. Accordingly, baseline demographic estimates for goose populations are needed to help better understand the ecology of Canada geese in suburban areas. Methods. As a basis for monitoring efforts, we estimated densities of adult resident Canada geese in a suburban environment by using a novel spatial mark–resight method. We resighted 763 neck- and leg-banded resident Canada geese two to three times per week in and around Greensboro, North Carolina, over an 18-month period (June 2008 – December 2009).We estimated the density, detection probabilities, proportion of male geese in the population, and the movements and home-range radii of the geese by season ((post-molt I 2008 (16 July – 31 October), post-molt II 2008/2009 (1 November – 31 January), breeding and nesting 2009 (1 February – 31 May), and post-molt I 2009). Additionally, we used estimates of the number of marked individuals to quantify apparent monthly survival. Key results. Goose densities varied by season, ranging from 11.10 individuals per km2 (s.e. = 0.23) in breeding/nesting to 16.02 individuals per km2 (s.e. = 0.34) in post-molt II. The 95% bivariate normal home-range radii ranged from 2.60 to 3.86 kmfor males and from 1.90 to 3.15 kmfor females and female home ranges were smaller than those of male geese during the breeding/nesting and post-molt II seasons. Apparent monthly survival across the study was high, ranging from 0.972 (s.e. = 0.005) to 0.995 (s.e. = 0.002). Conclusions. By using spatial mark–resight models, we determined that Canada goose density estimates varied seasonally. Nevertheless, the seasonal changes in density are reflective of the seasonal changes in behaviour and physiological requirements of geese. Implications. Although defining the state–space of spatial mark–resight models requires careful consideration, the technique ...
format Text
author Rutledge, M. Elizabeth
Sollmann, Rachel
Washburn, Brian E.
Moorman, Christopher E.
DePerno, Christopher S.
author_facet Rutledge, M. Elizabeth
Sollmann, Rachel
Washburn, Brian E.
Moorman, Christopher E.
DePerno, Christopher S.
author_sort Rutledge, M. Elizabeth
title Using novel spatial mark–resight techniques to monitor resident Canada geese in a suburban environment
title_short Using novel spatial mark–resight techniques to monitor resident Canada geese in a suburban environment
title_full Using novel spatial mark–resight techniques to monitor resident Canada geese in a suburban environment
title_fullStr Using novel spatial mark–resight techniques to monitor resident Canada geese in a suburban environment
title_full_unstemmed Using novel spatial mark–resight techniques to monitor resident Canada geese in a suburban environment
title_sort using novel spatial mark–resight techniques to monitor resident canada geese in a suburban environment
publisher DigitalCommons@University of Nebraska - Lincoln
publishDate 2014
url https://digitalcommons.unl.edu/icwdm_usdanwrc/1664
https://digitalcommons.unl.edu/context/icwdm_usdanwrc/article/2667/viewcontent/Rutledge_WR_2014_Using_novel_spatial_mark.pdf
geographic Canada
geographic_facet Canada
genre Branta canadensis
Canada Goose
genre_facet Branta canadensis
Canada Goose
op_source USDA Wildlife Services - Staff Publications
op_relation https://digitalcommons.unl.edu/icwdm_usdanwrc/1664
https://digitalcommons.unl.edu/context/icwdm_usdanwrc/article/2667/viewcontent/Rutledge_WR_2014_Using_novel_spatial_mark.pdf
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