Linking demographic and food‐web models to understand management trade‐offs

Alternatives in ecosystem‐based management often differ with respect to trade‐offs between ecosystem values. Ecosystem or food‐web models and demographic models are typically employed to evaluate alternatives, but the approaches are rarely integrated to uncover conflicts between values. We applied m...

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Published in:Ecology and Evolution
Main Authors: Kadin, Martina, Frederiksen, Morten, Niiranen, Susa, Converse, Sarah J.
Format: Text
Language:English
Published: John Wiley and Sons Inc. 2019
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6686646/
http://www.ncbi.nlm.nih.gov/pubmed/31410264
https://doi.org/10.1002/ece3.5385
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spelling ftpubmed:oai:pubmedcentral.nih.gov:6686646 2023-05-15T18:41:32+02:00 Linking demographic and food‐web models to understand management trade‐offs Kadin, Martina Frederiksen, Morten Niiranen, Susa Converse, Sarah J. 2019-07-17 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6686646/ http://www.ncbi.nlm.nih.gov/pubmed/31410264 https://doi.org/10.1002/ece3.5385 en eng John Wiley and Sons Inc. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6686646/ http://www.ncbi.nlm.nih.gov/pubmed/31410264 http://dx.doi.org/10.1002/ece3.5385 © 2019 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. CC-BY Original Research Text 2019 ftpubmed https://doi.org/10.1002/ece3.5385 2019-08-18T00:48:55Z Alternatives in ecosystem‐based management often differ with respect to trade‐offs between ecosystem values. Ecosystem or food‐web models and demographic models are typically employed to evaluate alternatives, but the approaches are rarely integrated to uncover conflicts between values. We applied multistate models to a capture–recapture dataset on common guillemots Uria aalge breeding in the Baltic Sea to identify factors influencing survival. The estimated relationships were employed together with Ecopath‐with‐Ecosim food‐web model simulations to project guillemot survival under six future scenarios incorporating climate change. The scenarios were based on management alternatives for eutrophication and cod fisheries, issues considered top priority for regional management, but without known direct effects on the guillemot population. Our demographic models identified prey quantity (abundance and biomass of sprat Sprattus sprattus) as the main factor influencing guillemot survival. Most scenarios resulted in projections of increased survival, in the near (2016–2040) and distant (2060–2085) future. However, in the scenario of reduced nutrient input and precautionary cod fishing, guillemot survival was projected to be lower in both future periods due to lower sprat stocks. Matrix population models suggested a substantial decline of the guillemot population in the near future, 24% per 10 years, and a smaller reduction, 1.1% per 10 years, in the distant future. To date, many stakeholders and Baltic Sea governments have supported reduced nutrient input and precautionary cod fishing and implementation is underway. Negative effects on nonfocal species have previously not been uncovered, but our results show that the scenario is likely to negatively impact the guillemot population. Linking model results allowed identifying trade‐offs associated with management alternatives. This information is critical to thorough evaluation by decision‐makers, but not easily obtained by food‐web models or demographic models in ... Text Uria aalge uria PubMed Central (PMC) Ecology and Evolution 9 15 8587 8600
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Original Research
spellingShingle Original Research
Kadin, Martina
Frederiksen, Morten
Niiranen, Susa
Converse, Sarah J.
Linking demographic and food‐web models to understand management trade‐offs
topic_facet Original Research
description Alternatives in ecosystem‐based management often differ with respect to trade‐offs between ecosystem values. Ecosystem or food‐web models and demographic models are typically employed to evaluate alternatives, but the approaches are rarely integrated to uncover conflicts between values. We applied multistate models to a capture–recapture dataset on common guillemots Uria aalge breeding in the Baltic Sea to identify factors influencing survival. The estimated relationships were employed together with Ecopath‐with‐Ecosim food‐web model simulations to project guillemot survival under six future scenarios incorporating climate change. The scenarios were based on management alternatives for eutrophication and cod fisheries, issues considered top priority for regional management, but without known direct effects on the guillemot population. Our demographic models identified prey quantity (abundance and biomass of sprat Sprattus sprattus) as the main factor influencing guillemot survival. Most scenarios resulted in projections of increased survival, in the near (2016–2040) and distant (2060–2085) future. However, in the scenario of reduced nutrient input and precautionary cod fishing, guillemot survival was projected to be lower in both future periods due to lower sprat stocks. Matrix population models suggested a substantial decline of the guillemot population in the near future, 24% per 10 years, and a smaller reduction, 1.1% per 10 years, in the distant future. To date, many stakeholders and Baltic Sea governments have supported reduced nutrient input and precautionary cod fishing and implementation is underway. Negative effects on nonfocal species have previously not been uncovered, but our results show that the scenario is likely to negatively impact the guillemot population. Linking model results allowed identifying trade‐offs associated with management alternatives. This information is critical to thorough evaluation by decision‐makers, but not easily obtained by food‐web models or demographic models in ...
format Text
author Kadin, Martina
Frederiksen, Morten
Niiranen, Susa
Converse, Sarah J.
author_facet Kadin, Martina
Frederiksen, Morten
Niiranen, Susa
Converse, Sarah J.
author_sort Kadin, Martina
title Linking demographic and food‐web models to understand management trade‐offs
title_short Linking demographic and food‐web models to understand management trade‐offs
title_full Linking demographic and food‐web models to understand management trade‐offs
title_fullStr Linking demographic and food‐web models to understand management trade‐offs
title_full_unstemmed Linking demographic and food‐web models to understand management trade‐offs
title_sort linking demographic and food‐web models to understand management trade‐offs
publisher John Wiley and Sons Inc.
publishDate 2019
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6686646/
http://www.ncbi.nlm.nih.gov/pubmed/31410264
https://doi.org/10.1002/ece3.5385
genre Uria aalge
uria
genre_facet Uria aalge
uria
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6686646/
http://www.ncbi.nlm.nih.gov/pubmed/31410264
http://dx.doi.org/10.1002/ece3.5385
op_rights © 2019 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.
This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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