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Conservation implications of a mismatch between data availability and demographic impact

Cost‐effective use of limited conservation resources requires understanding which data most contribute to alleviating biodiversity declines. Interventions might reasonably prioritise life‐cycle transitions with the greatest influence on population dynamics, yet some contributing vital rates are part...

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Autores principales: Nicol‐Harper, Alex, Doncaster, C. Patrick, Hilton, Geoff M., Wood, Kevin A., Ezard, Thomas H. G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10353920/
https://www.ncbi.nlm.nih.gov/pubmed/37475724
http://dx.doi.org/10.1002/ece3.10269
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author Nicol‐Harper, Alex
Doncaster, C. Patrick
Hilton, Geoff M.
Wood, Kevin A.
Ezard, Thomas H. G.
author_facet Nicol‐Harper, Alex
Doncaster, C. Patrick
Hilton, Geoff M.
Wood, Kevin A.
Ezard, Thomas H. G.
author_sort Nicol‐Harper, Alex
collection PubMed
description Cost‐effective use of limited conservation resources requires understanding which data most contribute to alleviating biodiversity declines. Interventions might reasonably prioritise life‐cycle transitions with the greatest influence on population dynamics, yet some contributing vital rates are particularly challenging to document. This risks managers making decisions without sufficient empirical coverage of the spatiotemporal variation experienced by the species. Here, we aimed to explore whether the number of studies contributing estimates for a given life‐stage transition aligns with that transition's demographic impact on population growth rate, λ. We parameterised a matrix population model using meta‐analysis of vital rates for the common eider (Somateria mollissima), an increasingly threatened yet comparatively data‐rich species of seaduck, for which some life stages are particularly problematic to study. Female common eiders exhibit intermittent breeding, with some established breeders skipping one or more years between breeding attempts. Our meta‐analysis yielded a breeding propensity of 0.72, which we incorporated into our model with a discrete and reversible ‘nonbreeder’ stage (to which surviving adults transition with a probability of 0.28). The transitions between breeding and nonbreeding states had twice the influence on λ than fertility (summed matrix‐element elasticities of 24% and 11%, respectively), whereas almost 15 times as many studies document components of fertility than breeding propensity (n = 103 and n = 7, respectively). The implications of such mismatches are complex because the motivations for feasible on‐the‐ground conservation actions may be different from what is needed to reduce uncertainty in population projections. Our workflow could form an early part of the toolkit informing future investment of finite resources, to avoid repeated disconnects between data needs and availability thwarting evidence‐led conservation.
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spelling pubmed-103539202023-07-20 Conservation implications of a mismatch between data availability and demographic impact Nicol‐Harper, Alex Doncaster, C. Patrick Hilton, Geoff M. Wood, Kevin A. Ezard, Thomas H. G. Ecol Evol Research Articles Cost‐effective use of limited conservation resources requires understanding which data most contribute to alleviating biodiversity declines. Interventions might reasonably prioritise life‐cycle transitions with the greatest influence on population dynamics, yet some contributing vital rates are particularly challenging to document. This risks managers making decisions without sufficient empirical coverage of the spatiotemporal variation experienced by the species. Here, we aimed to explore whether the number of studies contributing estimates for a given life‐stage transition aligns with that transition's demographic impact on population growth rate, λ. We parameterised a matrix population model using meta‐analysis of vital rates for the common eider (Somateria mollissima), an increasingly threatened yet comparatively data‐rich species of seaduck, for which some life stages are particularly problematic to study. Female common eiders exhibit intermittent breeding, with some established breeders skipping one or more years between breeding attempts. Our meta‐analysis yielded a breeding propensity of 0.72, which we incorporated into our model with a discrete and reversible ‘nonbreeder’ stage (to which surviving adults transition with a probability of 0.28). The transitions between breeding and nonbreeding states had twice the influence on λ than fertility (summed matrix‐element elasticities of 24% and 11%, respectively), whereas almost 15 times as many studies document components of fertility than breeding propensity (n = 103 and n = 7, respectively). The implications of such mismatches are complex because the motivations for feasible on‐the‐ground conservation actions may be different from what is needed to reduce uncertainty in population projections. Our workflow could form an early part of the toolkit informing future investment of finite resources, to avoid repeated disconnects between data needs and availability thwarting evidence‐led conservation. John Wiley and Sons Inc. 2023-07-18 /pmc/articles/PMC10353920/ /pubmed/37475724 http://dx.doi.org/10.1002/ece3.10269 Text en © 2023 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Nicol‐Harper, Alex
Doncaster, C. Patrick
Hilton, Geoff M.
Wood, Kevin A.
Ezard, Thomas H. G.
Conservation implications of a mismatch between data availability and demographic impact
title Conservation implications of a mismatch between data availability and demographic impact
title_full Conservation implications of a mismatch between data availability and demographic impact
title_fullStr Conservation implications of a mismatch between data availability and demographic impact
title_full_unstemmed Conservation implications of a mismatch between data availability and demographic impact
title_short Conservation implications of a mismatch between data availability and demographic impact
title_sort conservation implications of a mismatch between data availability and demographic impact
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10353920/
https://www.ncbi.nlm.nih.gov/pubmed/37475724
http://dx.doi.org/10.1002/ece3.10269
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