Learning from long time series of harvest and population data - Swedish insights for European goose management
Goose management in Europe is faced by multiple challenges, as some species are declining and in need of conservation actions, while other populations have become very abundant, resulting in calls for increased harvest. Sweden has long-term series of harvest data and counts of breeding and autumn-st...
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ftzenodo:oai:zenodo.org:4569069 2023-05-15T15:48:55+02:00 Learning from long time series of harvest and population data - Swedish insights for European goose management Liljebäck, Niklas 2021-02-28 https://zenodo.org/record/4569069 https://doi.org/10.5061/dryad.3bk3j9kjc unknown https://zenodo.org/communities/dryad https://zenodo.org/record/4569069 https://doi.org/10.5061/dryad.3bk3j9kjc oai:zenodo.org:4569069 info:eu-repo/semantics/openAccess https://creativecommons.org/publicdomain/zero/1.0/legalcode goose management Sweden info:eu-repo/semantics/other dataset 2021 ftzenodo https://doi.org/10.5061/dryad.3bk3j9kjc 2023-03-10T14:15:39Z Goose management in Europe is faced by multiple challenges, as some species are declining and in need of conservation actions, while other populations have become very abundant, resulting in calls for increased harvest. Sweden has long-term series of harvest data and counts of breeding and autumn-staging geese. We used national data (indices) for greylag goose, bean goose, and Canada goose to study shifts in temporal trends and correlative patterns, and to infer possible causal links between harvest and population trends. Our study provides an opportunity to guide management given the data collected within the present monitoring, as well as to suggest improvements for future data collection. The populations of greylag and Canada geese increased in Sweden 1979–2018, but this long-term trend included a recent decrease in the latter species. Bean goose breeding index decreased, whilst staging numbers and harvest varied with no clear long-term trend. For Canada goose, our analysis suggests that harvest may affect population growth negatively. For bean goose and greylag goose we could not detect any effect of harvest on autumn counts the following year. We find that the present data and analysis of coherence may suffice as basis for decisions for the current management situation in Sweden with its rather unspecific goals for greylag (very abundant ) and Canada goose (invasive species) populations. However, for management of bean geese, with international concerns of over harvest, data lack crucial information. For future management challenges, with more explicit goals, for all goose species we advocate information that is more precise. Data such as hunting effort, age-structure of goose populations, and mark-recapture data to estimate survival and population size, is needed to feed predictive population models guiding future Swedish and European goose management. Temporal trends (finite growth rates) based on breeding season counts along the fixed routes, were analysed using TRIM (Trends & Indices for ... Dataset Canada Goose Zenodo Canada |
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goose management Sweden |
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goose management Sweden Liljebäck, Niklas Learning from long time series of harvest and population data - Swedish insights for European goose management |
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goose management Sweden |
description |
Goose management in Europe is faced by multiple challenges, as some species are declining and in need of conservation actions, while other populations have become very abundant, resulting in calls for increased harvest. Sweden has long-term series of harvest data and counts of breeding and autumn-staging geese. We used national data (indices) for greylag goose, bean goose, and Canada goose to study shifts in temporal trends and correlative patterns, and to infer possible causal links between harvest and population trends. Our study provides an opportunity to guide management given the data collected within the present monitoring, as well as to suggest improvements for future data collection. The populations of greylag and Canada geese increased in Sweden 1979–2018, but this long-term trend included a recent decrease in the latter species. Bean goose breeding index decreased, whilst staging numbers and harvest varied with no clear long-term trend. For Canada goose, our analysis suggests that harvest may affect population growth negatively. For bean goose and greylag goose we could not detect any effect of harvest on autumn counts the following year. We find that the present data and analysis of coherence may suffice as basis for decisions for the current management situation in Sweden with its rather unspecific goals for greylag (very abundant ) and Canada goose (invasive species) populations. However, for management of bean geese, with international concerns of over harvest, data lack crucial information. For future management challenges, with more explicit goals, for all goose species we advocate information that is more precise. Data such as hunting effort, age-structure of goose populations, and mark-recapture data to estimate survival and population size, is needed to feed predictive population models guiding future Swedish and European goose management. Temporal trends (finite growth rates) based on breeding season counts along the fixed routes, were analysed using TRIM (Trends & Indices for ... |
format |
Dataset |
author |
Liljebäck, Niklas |
author_facet |
Liljebäck, Niklas |
author_sort |
Liljebäck, Niklas |
title |
Learning from long time series of harvest and population data - Swedish insights for European goose management |
title_short |
Learning from long time series of harvest and population data - Swedish insights for European goose management |
title_full |
Learning from long time series of harvest and population data - Swedish insights for European goose management |
title_fullStr |
Learning from long time series of harvest and population data - Swedish insights for European goose management |
title_full_unstemmed |
Learning from long time series of harvest and population data - Swedish insights for European goose management |
title_sort |
learning from long time series of harvest and population data - swedish insights for european goose management |
publishDate |
2021 |
url |
https://zenodo.org/record/4569069 https://doi.org/10.5061/dryad.3bk3j9kjc |
geographic |
Canada |
geographic_facet |
Canada |
genre |
Canada Goose |
genre_facet |
Canada Goose |
op_relation |
https://zenodo.org/communities/dryad https://zenodo.org/record/4569069 https://doi.org/10.5061/dryad.3bk3j9kjc oai:zenodo.org:4569069 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/publicdomain/zero/1.0/legalcode |
op_doi |
https://doi.org/10.5061/dryad.3bk3j9kjc |
_version_ |
1766384010052763648 |