Potential landscape-scale pollinator networks across Great Britain: structure, stability and influence of agricultural land cover.

Autor: Redhead JW; NERC Centre for Ecology and Hydrology, Maclean Building, Wallingford, Oxfordshire, OX108BB, UK.; School of Biological Sciences, University of Reading, Harborne Building, Reading, Berkshire, RG6 6AS, UK., Woodcock BA; NERC Centre for Ecology and Hydrology, Maclean Building, Wallingford, Oxfordshire, OX108BB, UK., Pocock MJO; NERC Centre for Ecology and Hydrology, Maclean Building, Wallingford, Oxfordshire, OX108BB, UK., Pywell RF; NERC Centre for Ecology and Hydrology, Maclean Building, Wallingford, Oxfordshire, OX108BB, UK., Vanbergen AJ; NERC Centre for Ecology and Hydrology, Bush Estate, Penicuik, Midlothian, EH26 0QB, UK.; Agroécologie, AgroSup Dijon, INRA, Univ. Bourgogne Franche-Comté, F-21000 Dijon, France., Oliver TH; NERC Centre for Ecology and Hydrology, Maclean Building, Wallingford, Oxfordshire, OX108BB, UK.; School of Biological Sciences, University of Reading, Harborne Building, Reading, Berkshire, RG6 6AS, UK.
Jazyk: angličtina
Zdroj: Ecology letters [Ecol Lett] 2018 Dec; Vol. 21 (12), pp. 1821-1832. Date of Electronic Publication: 2018 Sep 17.
DOI: 10.1111/ele.13157
Abstrakt: Understanding spatial variation in the structure and stability of plant-pollinator networks, and their relationship with anthropogenic drivers, is key for maintaining pollination services and mitigating declines. Constructing sufficient networks to examine patterns over large spatial scales remains challenging. Using biological records (citizen science), we constructed potential plant-pollinator networks at 10 km resolution across Great Britain, comprising all potential interactions inferred from recorded floral visitation and species co-occurrence. We calculated network metrics (species richness, connectance, pollinator and plant generality) and adapted existing methods to assess robustness to sequences of simulated plant extinctions across multiple networks. We found positive relationships between agricultural land cover and both pollinator generality and robustness to extinctions under several extinction scenarios. Increased robustness was attributable to changes in plant community composition (fewer extinction-prone species) and network structure (increased pollinator generality). Thus, traits enabling persistence in highly agricultural landscapes can confer robustness to potential future perturbations on plant-pollinator networks.
(© 2018 The Authors Ecology Letters published by CNRS and John Wiley & Sons Ltd.)
Databáze: MEDLINE
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