2543769
doi
10.5281/zenodo.2543769
oai:zenodo.org:2543769
Hautekeete, Nina
Université de Lille, CNRS, UMR 8198 - Evo-Eco-Paleo, 59000 Lille, France
Piquot, Yves
Université de Lille, CNRS, UMR 8198 - Evo-Eco-Paleo, 59000 Lille, France
Schatz, Bertrand
CEFE, EPHE-PSL, CNRS, University of Montpellier, University of Paul Valéry Montpellier 3, IRD, Montpellier, France
Vanappelghem, Cédric
Conservatoire d'espaces naturels Nord et du Pas-de-Calais, 160 rue Achille Fanien - ZA de la Haye, 62190 LILLERS
Massol, François
Université de Lille, CNRS, UMR 8198 - Evo-Eco-Paleo, 59000 Lille, France
Does phenology explain plant-pollinator interactions at different latitudes? An assessment of its explanatory power in plant-hoverfly networks in French calcareous grasslands
de Manincor, Natasha
Université de Lille, CNRS, UMR 8198 - Evo-Eco-Paleo, 59000 Lille, France
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Bayesian model
interaction probability
latent block model
latitudinal gradient
mutualistic network
phenology overlap
species abundance
structural equation model
<p><strong>Title: </strong>Does phenology explain plant-pollinator interactions at different latitudes? An assessment of its explanatory power in plant-hoverfly networks in French calcareous grasslands</p>
<p><strong>Authors: </strong>Natasha de Manincor¹*, Nina Hautekeete¹, Yves Piquot¹, Bertrand Schatz², Cédric Vanappelghem³, François Massol¹<sup>,4</sup></p>
<p><strong>Abstract</strong></p>
<p>For plant-pollinator interactions to occur, the flowering of plants and the flying period of pollinators (i.e. their phenologies) have to overlap. Yet, few models make use of this principle to predict interactions and fewer still are able to compare interaction networks of different sizes. Here, we tackled both challenges using Bayesian Structural Equation Models (SEM), incorporating the effect of phenology overlap, in six plant-hoverfly networks. Insect and plant abundances were strong determinants of the number of visits, while phenology overlap alone was not sufficient, but significantly improved model fit. Phenology overlap was a stronger determinant of plant-pollinator interactions in sites where the average overlap was longer and network compartmentalization was weaker, i.e. at higher latitudes. Our approach highlights the advantages of using Bayesian SEMs to compare interaction networks of different sizes along environmental gradients and articulates the various steps needed to do so.</p>
Zenodo
2019-01-18
info:eu-repo/semantics/article
2543768
1579540770.301753
1806915
md5:e4fadf4c171176bdcba2b9a1bb199084
https://zenodo.org/records/2543769/files/2019_deManincor et al.pdf
public
10.5281/zenodo.2543768
isVersionOf
doi