An accurate and efficient semiautomated approach to counting birds: Estimating Northern Gannet colony size in Canada

Abstract Improving the efficiency of population monitoring and conservation programs is beneficial, so long as the accuracy of the information collected is not diminished. The need to expeditiously estimate the population size of seabird colonies is especially acute during mass mortality events when...

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Main Authors: Jacob Walker, Trevor S. Avery, Francis St‐Pierre, Jean‐François Rail, Danielle E. A. Quinn, Matthew English, Stephanie Avery‐Gomm
Format: Article
Language:English
Published: Wiley 2025-02-01
Series:Ecosphere
Subjects:
Online Access:https://doi.org/10.1002/ecs2.70183
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author Jacob Walker
Trevor S. Avery
Francis St‐Pierre
Jean‐François Rail
Danielle E. A. Quinn
Matthew English
Stephanie Avery‐Gomm
author_facet Jacob Walker
Trevor S. Avery
Francis St‐Pierre
Jean‐François Rail
Danielle E. A. Quinn
Matthew English
Stephanie Avery‐Gomm
author_sort Jacob Walker
collection DOAJ
description Abstract Improving the efficiency of population monitoring and conservation programs is beneficial, so long as the accuracy of the information collected is not diminished. The need to expeditiously estimate the population size of seabird colonies is especially acute during mass mortality events when aerial surveys can provide information quickly on the extent of effects and total mortality. In 2022, the highly pathogenic avian influenza virus caused outbreaks at most Northern Gannet Morus bassanus colonies worldwide, killing tens of thousands of gannets in eastern Canada. In this study, we evaluated the accuracy and efficiency of a semiautomated method using the free software CountEm for counting Northern Gannet nests by reanalyzing 13 years of aerial photographs from past population surveys (2009–2020 and 2022). The CountEm program uses a geometric sampling method which overlays a grid of quadrats onto photographs in which the user counts objects of interest. We developed a protocol that generated population estimates that are accurate enough to support population management objectives (i.e., within 2%–5% of manual counts) and outline additional ways to improve CountEm accuracy. Additionally, using CountEm was 1100% more efficient than manually counting based on counting time. Since CountEm relies on human identification of objects to be counted, our methods, results, and conclusions are transferable to any taxa that form large aggregations and can be identified and counted in photographs.
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spelling doaj-art-a363f0712a1648fd9b03c9865f32e1db2025-08-20T03:05:06ZengWileyEcosphere2150-89252025-02-01162n/an/a10.1002/ecs2.70183An accurate and efficient semiautomated approach to counting birds: Estimating Northern Gannet colony size in CanadaJacob Walker0Trevor S. Avery1Francis St‐Pierre2Jean‐François Rail3Danielle E. A. Quinn4Matthew English5Stephanie Avery‐Gomm6Department of Biology Acadia University Wolfville Nova Scotia CanadaDepartment of Biology Acadia University Wolfville Nova Scotia CanadaCanadian Wildlife Service—Québec Region Environment and Climate Change Canada Québec City Québec CanadaCanadian Wildlife Service—Québec Region Environment and Climate Change Canada Québec City Québec CanadaDepartment of Mathematics and Statistics Acadia University Wolfville Nova Scotia CanadaCanadian Wildlife Service—Atlantic Region Environment and Climate Change Canada Dartmouth Nova Scotia CanadaWildlife and Landscape Science Directorate Environment and Climate Change Canada Ottawa Ontario CanadaAbstract Improving the efficiency of population monitoring and conservation programs is beneficial, so long as the accuracy of the information collected is not diminished. The need to expeditiously estimate the population size of seabird colonies is especially acute during mass mortality events when aerial surveys can provide information quickly on the extent of effects and total mortality. In 2022, the highly pathogenic avian influenza virus caused outbreaks at most Northern Gannet Morus bassanus colonies worldwide, killing tens of thousands of gannets in eastern Canada. In this study, we evaluated the accuracy and efficiency of a semiautomated method using the free software CountEm for counting Northern Gannet nests by reanalyzing 13 years of aerial photographs from past population surveys (2009–2020 and 2022). The CountEm program uses a geometric sampling method which overlays a grid of quadrats onto photographs in which the user counts objects of interest. We developed a protocol that generated population estimates that are accurate enough to support population management objectives (i.e., within 2%–5% of manual counts) and outline additional ways to improve CountEm accuracy. Additionally, using CountEm was 1100% more efficient than manually counting based on counting time. Since CountEm relies on human identification of objects to be counted, our methods, results, and conclusions are transferable to any taxa that form large aggregations and can be identified and counted in photographs.https://doi.org/10.1002/ecs2.70183avian influenzacensusCountEmHPAIseabird colonysemiautomated counting
spellingShingle Jacob Walker
Trevor S. Avery
Francis St‐Pierre
Jean‐François Rail
Danielle E. A. Quinn
Matthew English
Stephanie Avery‐Gomm
An accurate and efficient semiautomated approach to counting birds: Estimating Northern Gannet colony size in Canada
Ecosphere
avian influenza
census
CountEm
HPAI
seabird colony
semiautomated counting
title An accurate and efficient semiautomated approach to counting birds: Estimating Northern Gannet colony size in Canada
title_full An accurate and efficient semiautomated approach to counting birds: Estimating Northern Gannet colony size in Canada
title_fullStr An accurate and efficient semiautomated approach to counting birds: Estimating Northern Gannet colony size in Canada
title_full_unstemmed An accurate and efficient semiautomated approach to counting birds: Estimating Northern Gannet colony size in Canada
title_short An accurate and efficient semiautomated approach to counting birds: Estimating Northern Gannet colony size in Canada
title_sort accurate and efficient semiautomated approach to counting birds estimating northern gannet colony size in canada
topic avian influenza
census
CountEm
HPAI
seabird colony
semiautomated counting
url https://doi.org/10.1002/ecs2.70183
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