Learning from long time series of harvest and population data : Swedish lessons 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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Högskolan Kristianstad, Avdelningen för miljö- och biovetenskap
2021
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Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-21788 https://doi.org/10.2981/wlb.00733 |
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fthkristianstad:oai:DiVA.org:hkr-21788 2023-05-15T15:48:55+02:00 Learning from long time series of harvest and population data : Swedish lessons for European goose management Liljebäck, Niklas Bergqvist, Göran Elmberg, Johan Haas, Fredrik Nilsson, Leif Lindström, Åke Månsson, Johan 2021 application/pdf http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-21788 https://doi.org/10.2981/wlb.00733 eng eng Högskolan Kristianstad, Avdelningen för miljö- och biovetenskap Högskolan Kristianstad, Forskningsmiljön Man & Biosphere Health (MABH) SLU Svenska jägareförbundet Lunds universitet Lunds univeristet Wildlife Biology, 0909-6396, 2021, 1, s. 1-10 orcid:0000-0003-2337-4155 http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-21788 doi:10.2981/wlb.00733 ISI:000672752300003 info:eu-repo/semantics/openAccess conservation goose populations harvest management monitoring programs population trajectories time series Ecology Ekologi Article, book review info:eu-repo/semantics/review text 2021 fthkristianstad https://doi.org/10.2981/wlb.00733 2022-07-29T13:28:10Z 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. This study was supported by the Swedish Environmental Protection Agency by grants for research project (Naturvårdsverket, NV-00695-17) and The Swedish bird ... Review Canada Goose Kristianstad University College: Publications (DiVA) Canada Wildlife Biology 2021 1 |
institution |
Open Polar |
collection |
Kristianstad University College: Publications (DiVA) |
op_collection_id |
fthkristianstad |
language |
English |
topic |
conservation goose populations harvest management monitoring programs population trajectories time series Ecology Ekologi |
spellingShingle |
conservation goose populations harvest management monitoring programs population trajectories time series Ecology Ekologi Liljebäck, Niklas Bergqvist, Göran Elmberg, Johan Haas, Fredrik Nilsson, Leif Lindström, Åke Månsson, Johan Learning from long time series of harvest and population data : Swedish lessons for European goose management |
topic_facet |
conservation goose populations harvest management monitoring programs population trajectories time series Ecology Ekologi |
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. This study was supported by the Swedish Environmental Protection Agency by grants for research project (Naturvårdsverket, NV-00695-17) and The Swedish bird ... |
format |
Review |
author |
Liljebäck, Niklas Bergqvist, Göran Elmberg, Johan Haas, Fredrik Nilsson, Leif Lindström, Åke Månsson, Johan |
author_facet |
Liljebäck, Niklas Bergqvist, Göran Elmberg, Johan Haas, Fredrik Nilsson, Leif Lindström, Åke Månsson, Johan |
author_sort |
Liljebäck, Niklas |
title |
Learning from long time series of harvest and population data : Swedish lessons for European goose management |
title_short |
Learning from long time series of harvest and population data : Swedish lessons for European goose management |
title_full |
Learning from long time series of harvest and population data : Swedish lessons for European goose management |
title_fullStr |
Learning from long time series of harvest and population data : Swedish lessons for European goose management |
title_full_unstemmed |
Learning from long time series of harvest and population data : Swedish lessons for European goose management |
title_sort |
learning from long time series of harvest and population data : swedish lessons for european goose management |
publisher |
Högskolan Kristianstad, Avdelningen för miljö- och biovetenskap |
publishDate |
2021 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-21788 https://doi.org/10.2981/wlb.00733 |
geographic |
Canada |
geographic_facet |
Canada |
genre |
Canada Goose |
genre_facet |
Canada Goose |
op_relation |
Wildlife Biology, 0909-6396, 2021, 1, s. 1-10 orcid:0000-0003-2337-4155 http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-21788 doi:10.2981/wlb.00733 ISI:000672752300003 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.2981/wlb.00733 |
container_title |
Wildlife Biology |
container_volume |
2021 |
container_issue |
1 |
_version_ |
1766384009888137216 |