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An energetics-based honeybee nectar-foraging model used to assess the potential for landscape-level pesticide exposure dilution

Estimating the exposure of honeybees to pesticides on a landscape scale requires models of their spatial foraging behaviour. For this purpose, we developed a mechanistic, energetics-based model for a single day of nectar foraging in complex landscape mosaics. Net energetic efficiency determined reso...

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Autores principales: Baveco, Johannes M., Focks, Andreas, Belgers, Dick, van der Steen, Jozef J.M., Boesten, Jos J.T.I., Roessink, Ivo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4991850/
https://www.ncbi.nlm.nih.gov/pubmed/27602273
http://dx.doi.org/10.7717/peerj.2293
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author Baveco, Johannes M.
Focks, Andreas
Belgers, Dick
van der Steen, Jozef J.M.
Boesten, Jos J.T.I.
Roessink, Ivo
author_facet Baveco, Johannes M.
Focks, Andreas
Belgers, Dick
van der Steen, Jozef J.M.
Boesten, Jos J.T.I.
Roessink, Ivo
author_sort Baveco, Johannes M.
collection PubMed
description Estimating the exposure of honeybees to pesticides on a landscape scale requires models of their spatial foraging behaviour. For this purpose, we developed a mechanistic, energetics-based model for a single day of nectar foraging in complex landscape mosaics. Net energetic efficiency determined resource patch choice. In one version of the model a single optimal patch was selected each hour. In another version, recruitment of foragers was simulated and several patches could be exploited simultaneously. Resource availability changed during the day due to depletion and/or intrinsic properties of the resource (anthesis). The model accounted for the impact of patch distance and size, resource depletion and replenishment, competition with other nectar foragers, and seasonal and diurnal patterns in availability of nectar-providing crops and wild flowers. From the model we derived simple rules for resource patch selection, e.g., for landscapes with mass-flowering crops only, net energetic efficiency would be proportional to the ratio of the energetic content of the nectar divided by distance to the hive. We also determined maximum distances at which resources like oilseed rape and clover were still energetically attractive. We used the model to assess the potential for pesticide exposure dilution in landscapes of different composition and complexity. Dilution means a lower concentration in nectar arriving at the hive compared to the concentration in nectar at a treated field and can result from foraging effort being diverted away from treated fields. Applying the model for all possible hive locations over a large area, distributions of dilution factors were obtained that were characterised by their 90-percentile value. For an area for which detailed spatial data on crops and off-field semi-natural habitats were available, we tested three landscape management scenarios that were expected to lead to exposure dilution: providing alternative resources than the target crop (oilseed rape) in the form of (i) other untreated crop fields, (ii) flower strips of different widths at field edges (off-crop in-field resources), and (iii) resources on off-field (semi-natural) habitats. For both model versions, significant dilution occurred only when alternative resource patches were equal or more attractive than oilseed rape, nearby and numerous and only in case of flower strips and off-field habitats. On an area-base, flower strips were more than one order of magnitude more effective than off-field habitats, the main reason being that flower strips had an optimal location. The two model versions differed in the predicted number of resource patches exploited over the day, but mainly in landscapes with numerous small resource patches. In landscapes consisting of few large resource patches (crop fields) both versions predicted the use of a small number of patches.
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spelling pubmed-49918502016-09-06 An energetics-based honeybee nectar-foraging model used to assess the potential for landscape-level pesticide exposure dilution Baveco, Johannes M. Focks, Andreas Belgers, Dick van der Steen, Jozef J.M. Boesten, Jos J.T.I. Roessink, Ivo PeerJ Agricultural Science Estimating the exposure of honeybees to pesticides on a landscape scale requires models of their spatial foraging behaviour. For this purpose, we developed a mechanistic, energetics-based model for a single day of nectar foraging in complex landscape mosaics. Net energetic efficiency determined resource patch choice. In one version of the model a single optimal patch was selected each hour. In another version, recruitment of foragers was simulated and several patches could be exploited simultaneously. Resource availability changed during the day due to depletion and/or intrinsic properties of the resource (anthesis). The model accounted for the impact of patch distance and size, resource depletion and replenishment, competition with other nectar foragers, and seasonal and diurnal patterns in availability of nectar-providing crops and wild flowers. From the model we derived simple rules for resource patch selection, e.g., for landscapes with mass-flowering crops only, net energetic efficiency would be proportional to the ratio of the energetic content of the nectar divided by distance to the hive. We also determined maximum distances at which resources like oilseed rape and clover were still energetically attractive. We used the model to assess the potential for pesticide exposure dilution in landscapes of different composition and complexity. Dilution means a lower concentration in nectar arriving at the hive compared to the concentration in nectar at a treated field and can result from foraging effort being diverted away from treated fields. Applying the model for all possible hive locations over a large area, distributions of dilution factors were obtained that were characterised by their 90-percentile value. For an area for which detailed spatial data on crops and off-field semi-natural habitats were available, we tested three landscape management scenarios that were expected to lead to exposure dilution: providing alternative resources than the target crop (oilseed rape) in the form of (i) other untreated crop fields, (ii) flower strips of different widths at field edges (off-crop in-field resources), and (iii) resources on off-field (semi-natural) habitats. For both model versions, significant dilution occurred only when alternative resource patches were equal or more attractive than oilseed rape, nearby and numerous and only in case of flower strips and off-field habitats. On an area-base, flower strips were more than one order of magnitude more effective than off-field habitats, the main reason being that flower strips had an optimal location. The two model versions differed in the predicted number of resource patches exploited over the day, but mainly in landscapes with numerous small resource patches. In landscapes consisting of few large resource patches (crop fields) both versions predicted the use of a small number of patches. PeerJ Inc. 2016-08-16 /pmc/articles/PMC4991850/ /pubmed/27602273 http://dx.doi.org/10.7717/peerj.2293 Text en ©2016 Baveco et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Agricultural Science
Baveco, Johannes M.
Focks, Andreas
Belgers, Dick
van der Steen, Jozef J.M.
Boesten, Jos J.T.I.
Roessink, Ivo
An energetics-based honeybee nectar-foraging model used to assess the potential for landscape-level pesticide exposure dilution
title An energetics-based honeybee nectar-foraging model used to assess the potential for landscape-level pesticide exposure dilution
title_full An energetics-based honeybee nectar-foraging model used to assess the potential for landscape-level pesticide exposure dilution
title_fullStr An energetics-based honeybee nectar-foraging model used to assess the potential for landscape-level pesticide exposure dilution
title_full_unstemmed An energetics-based honeybee nectar-foraging model used to assess the potential for landscape-level pesticide exposure dilution
title_short An energetics-based honeybee nectar-foraging model used to assess the potential for landscape-level pesticide exposure dilution
title_sort energetics-based honeybee nectar-foraging model used to assess the potential for landscape-level pesticide exposure dilution
topic Agricultural Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4991850/
https://www.ncbi.nlm.nih.gov/pubmed/27602273
http://dx.doi.org/10.7717/peerj.2293
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