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A model of wild bee populations accounting for spatial heterogeneity and climate‐induced temporal variability of food resources at the landscape level

The viability of wild bee populations and the pollination services that they provide are driven by the availability of food resources during their activity period and within the surroundings of their nesting sites. Changes in climate and land use influence the availability of these resources and are...

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Autores principales: Blasi, Maria, Clough, Yann, Jönsson, Anna Maria, Sahlin, Ullrika
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205664/
https://www.ncbi.nlm.nih.gov/pubmed/35784045
http://dx.doi.org/10.1002/ece3.9014
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author Blasi, Maria
Clough, Yann
Jönsson, Anna Maria
Sahlin, Ullrika
author_facet Blasi, Maria
Clough, Yann
Jönsson, Anna Maria
Sahlin, Ullrika
author_sort Blasi, Maria
collection PubMed
description The viability of wild bee populations and the pollination services that they provide are driven by the availability of food resources during their activity period and within the surroundings of their nesting sites. Changes in climate and land use influence the availability of these resources and are major threats to declining bee populations. Because wild bees may be vulnerable to interactions between these threats, spatially explicit models of population dynamics that capture how bee populations jointly respond to land use at a landscape scale and weather are needed. Here, we developed a spatially and temporally explicit theoretical model of wild bee populations aiming for a middle ground between the existing mapping of visitation rates using foraging equations and more refined agent‐based modeling. The model is developed for Bombus sp. and captures within‐season colony dynamics. The model describes mechanistically foraging at the colony level and temporal population dynamics for an average colony at the landscape level. Stages in population dynamics are temperature‐dependent triggered by a theoretical generalized seasonal progression, which can be informed by growing degree days. The purpose of the LandscapePhenoBee model is to evaluate the impact of system changes and within‐season variability in resources on bee population sizes and crop visitation rates. In a simulation study, we used the model to evaluate the impact of the shortage of food resources in the landscape arising from extreme drought events in different types of landscapes (ranging from different proportions of semi‐natural habitats and early and late flowering crops) on bumblebee populations.
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spelling pubmed-92056642022-07-01 A model of wild bee populations accounting for spatial heterogeneity and climate‐induced temporal variability of food resources at the landscape level Blasi, Maria Clough, Yann Jönsson, Anna Maria Sahlin, Ullrika Ecol Evol Research Articles The viability of wild bee populations and the pollination services that they provide are driven by the availability of food resources during their activity period and within the surroundings of their nesting sites. Changes in climate and land use influence the availability of these resources and are major threats to declining bee populations. Because wild bees may be vulnerable to interactions between these threats, spatially explicit models of population dynamics that capture how bee populations jointly respond to land use at a landscape scale and weather are needed. Here, we developed a spatially and temporally explicit theoretical model of wild bee populations aiming for a middle ground between the existing mapping of visitation rates using foraging equations and more refined agent‐based modeling. The model is developed for Bombus sp. and captures within‐season colony dynamics. The model describes mechanistically foraging at the colony level and temporal population dynamics for an average colony at the landscape level. Stages in population dynamics are temperature‐dependent triggered by a theoretical generalized seasonal progression, which can be informed by growing degree days. The purpose of the LandscapePhenoBee model is to evaluate the impact of system changes and within‐season variability in resources on bee population sizes and crop visitation rates. In a simulation study, we used the model to evaluate the impact of the shortage of food resources in the landscape arising from extreme drought events in different types of landscapes (ranging from different proportions of semi‐natural habitats and early and late flowering crops) on bumblebee populations. John Wiley and Sons Inc. 2022-06-17 /pmc/articles/PMC9205664/ /pubmed/35784045 http://dx.doi.org/10.1002/ece3.9014 Text en © 2022 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
Blasi, Maria
Clough, Yann
Jönsson, Anna Maria
Sahlin, Ullrika
A model of wild bee populations accounting for spatial heterogeneity and climate‐induced temporal variability of food resources at the landscape level
title A model of wild bee populations accounting for spatial heterogeneity and climate‐induced temporal variability of food resources at the landscape level
title_full A model of wild bee populations accounting for spatial heterogeneity and climate‐induced temporal variability of food resources at the landscape level
title_fullStr A model of wild bee populations accounting for spatial heterogeneity and climate‐induced temporal variability of food resources at the landscape level
title_full_unstemmed A model of wild bee populations accounting for spatial heterogeneity and climate‐induced temporal variability of food resources at the landscape level
title_short A model of wild bee populations accounting for spatial heterogeneity and climate‐induced temporal variability of food resources at the landscape level
title_sort model of wild bee populations accounting for spatial heterogeneity and climate‐induced temporal variability of food resources at the landscape level
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205664/
https://www.ncbi.nlm.nih.gov/pubmed/35784045
http://dx.doi.org/10.1002/ece3.9014
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