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Comparing floral resource maps and land cover maps to predict predators and aphid suppression on field bean
CONTEXT: Predatory insects contribute to the natural control of agricultural pests, but also use plant pollen or nectar as supplementary food resources. Resource maps have been proposed as an alternative to land cover maps for prediction of beneficial insects. OBJECTIVES: We aimed at predicting the...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8841323/ https://www.ncbi.nlm.nih.gov/pubmed/35221524 http://dx.doi.org/10.1007/s10980-021-01361-0 |
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author | Ammann, Lolita Bosem-Baillod, Aliette Eckerter, Philipp W. Entling, Martin H. Albrecht, Matthias Herzog, Felix |
author_facet | Ammann, Lolita Bosem-Baillod, Aliette Eckerter, Philipp W. Entling, Martin H. Albrecht, Matthias Herzog, Felix |
author_sort | Ammann, Lolita |
collection | PubMed |
description | CONTEXT: Predatory insects contribute to the natural control of agricultural pests, but also use plant pollen or nectar as supplementary food resources. Resource maps have been proposed as an alternative to land cover maps for prediction of beneficial insects. OBJECTIVES: We aimed at predicting the abundance of crop pest predating insects and the pest control service they provide with both, detailed flower resource maps and land cover maps. METHODS: We selected 19 landscapes of 500 m radius and mapped them with both approaches. In the centres of the landscapes, aphid predators – hoverflies (Diptera: Syrphidae), ladybeetles (Coleoptera: Coccinellidae) and lacewings (Neuroptera: Chrysopidae) – were surveyed in experimentally established faba bean phytometers (Vicia faba L. Var. Sutton Dwarf) and their control of introduced black bean aphids (Aphis fabae Scop.) was recorded. RESULTS: Landscapes with higher proportions of forest edge as derived from land cover maps supported higher abundance of aphid predators, and high densities of aphid predators reduced aphid infestation on faba bean. Floral resource maps did not significantly predict predator abundance or aphid control services. CONCLUSIONS: Land cover maps allowed to relate landscape composition with predator abundance, showing positive effects of forest edges. Floral resource maps may have failed to better predict predators because other resources such as overwintering sites or alternative prey potentially play a more important role than floral resources. More research is needed to further improve our understanding of resource requirements beyond floral resource estimations and our understanding of their role for aphid predators at the landscape scale. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10980-021-01361-0. |
format | Online Article Text |
id | pubmed-8841323 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-88413232022-02-23 Comparing floral resource maps and land cover maps to predict predators and aphid suppression on field bean Ammann, Lolita Bosem-Baillod, Aliette Eckerter, Philipp W. Entling, Martin H. Albrecht, Matthias Herzog, Felix Landsc Ecol Research Article CONTEXT: Predatory insects contribute to the natural control of agricultural pests, but also use plant pollen or nectar as supplementary food resources. Resource maps have been proposed as an alternative to land cover maps for prediction of beneficial insects. OBJECTIVES: We aimed at predicting the abundance of crop pest predating insects and the pest control service they provide with both, detailed flower resource maps and land cover maps. METHODS: We selected 19 landscapes of 500 m radius and mapped them with both approaches. In the centres of the landscapes, aphid predators – hoverflies (Diptera: Syrphidae), ladybeetles (Coleoptera: Coccinellidae) and lacewings (Neuroptera: Chrysopidae) – were surveyed in experimentally established faba bean phytometers (Vicia faba L. Var. Sutton Dwarf) and their control of introduced black bean aphids (Aphis fabae Scop.) was recorded. RESULTS: Landscapes with higher proportions of forest edge as derived from land cover maps supported higher abundance of aphid predators, and high densities of aphid predators reduced aphid infestation on faba bean. Floral resource maps did not significantly predict predator abundance or aphid control services. CONCLUSIONS: Land cover maps allowed to relate landscape composition with predator abundance, showing positive effects of forest edges. Floral resource maps may have failed to better predict predators because other resources such as overwintering sites or alternative prey potentially play a more important role than floral resources. More research is needed to further improve our understanding of resource requirements beyond floral resource estimations and our understanding of their role for aphid predators at the landscape scale. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10980-021-01361-0. Springer Netherlands 2021-11-19 2022 /pmc/articles/PMC8841323/ /pubmed/35221524 http://dx.doi.org/10.1007/s10980-021-01361-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article Ammann, Lolita Bosem-Baillod, Aliette Eckerter, Philipp W. Entling, Martin H. Albrecht, Matthias Herzog, Felix Comparing floral resource maps and land cover maps to predict predators and aphid suppression on field bean |
title | Comparing floral resource maps and land cover maps to predict predators and aphid suppression on field bean |
title_full | Comparing floral resource maps and land cover maps to predict predators and aphid suppression on field bean |
title_fullStr | Comparing floral resource maps and land cover maps to predict predators and aphid suppression on field bean |
title_full_unstemmed | Comparing floral resource maps and land cover maps to predict predators and aphid suppression on field bean |
title_short | Comparing floral resource maps and land cover maps to predict predators and aphid suppression on field bean |
title_sort | comparing floral resource maps and land cover maps to predict predators and aphid suppression on field bean |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8841323/ https://www.ncbi.nlm.nih.gov/pubmed/35221524 http://dx.doi.org/10.1007/s10980-021-01361-0 |
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