A spatially extended model to assess the role of landscape structure on the pollination service of Apis mellifera
Autor: | Guillermo Abramson, Fernanda Santibáñez, Lucas Alejandro Garibaldi, María Fabiana Laguna, Julien Joseph, Marcelo N. Kuperman |
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Přispěvatelé: | Institut de Génomique Fonctionnelle de Lyon (IGFL), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Comisión Nacional de Energía Atómica [ARGENTINA] (CNEA), Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural [Río Negro] (IRNAD), Universidad Nacional de Río Negro (UNRN), Universidad Nacional de Cuyo [Mendoza] (UNCUYO), École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL) |
Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
0106 biological sciences
Resource (biology) Pollination media_common.quotation_subject Foraging COMPETITION Biology 010603 evolutionary biology 01 natural sciences Competition (biology) Ciencias Biológicas purl.org/becyt/ford/1 [https] Pollinator Biodiversidad y Conservación Nectar LANDSCAPE STRUCTURE purl.org/becyt/ford/1.6 [https] Quantitative Biology - Populations and Evolution media_common 2. Zero hunger Ecology ECOLOGICAL INTENSIFICATION 010604 marine biology & hydrobiology Ecological Modeling Populations and Evolution (q-bio.PE) APIS MELLIFERA Ecología 15. Life on land Resource depletion Habitat FOS: Biological sciences POLLINATION [SDE]Environmental Sciences CIENCIAS NATURALES Y EXACTAS |
Zdroj: | Ecological Modelling Ecological Modelling, 2020, 431, pp.109201-. ⟨10.1016/j.ecolmodel.2020.109201⟩ CONICET Digital (CONICET) Consejo Nacional de Investigaciones Científicas y Técnicas instacron:CONICET Ecological Modelling, Elsevier, 2020, 431, pp.109201-. ⟨10.1016/j.ecolmodel.2020.109201⟩ RID-UNRN (UNRN) Universidad Nacional de Río Negro instacron:UNRN |
ISSN: | 0304-3800 1872-7026 |
DOI: | 10.1016/j.ecolmodel.2020.109201⟩ |
Popis: | Apis mellifera plays a crucial role as pollinator of the majority of crops linked to food production and thus its presence is currently fundamental to our health and survival. The composition and configuration of the landscape in which Apis mellifera lives will likely determine the well-being of the hives and the pollination service that their members can provide to the crops. Here we present a spatially explicit model that predicts the spatial distribution of visits by Apis mellifera to crops, by simulating daily trips of honey bees, the demographical dynamic of each hive and their honey production. This model goes beyond existing approaches by including 1) a flower resource affected by the feedback interaction between nectar extraction, pollination, blossoming and repeated visits, 2) a pollinators dynamic that allows competition through short term resource depletion, 3) a probabilistic approach of the foraging behavior, modeling the fact that the pollinators have only partial knowledge of the resource on their surroundings, and 4) the specific and systematic foraging behavior and strategies of Apis mellifera at the moment of choosing foraging sites, as opposed to those adopted by solitary and wild pollinators. With a balance between simplicity and realism we show the importance of keeping a minimal fraction of natural habitat in an agricultural landscape. We also evaluate the effects of the landscape's structure on pollination, and demonstrate that there exists an optimal size of natural habitat patches that maximizes the pollination service for a fixed fraction of natural habitat. To appear in Ecological modelling |
Databáze: | OpenAIRE |
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