Phenology drives species interactions and modularity in a plant - flower visitor network

Morente‐López, Javier; Lara‐Romero, Carlos; Gallego, Carlos; Iriondo, J. M.

doi:10.1038/s41598-018-27725-2

Cited by 53 publications

(55 citation statements)

References 44 publications

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“…With lower modularity and more generalist species, we expect a stronger relationship between phenology and the intensity of interactions because interactions are less influenced by insect preferences and more by seasonal rhythm and flower availability (Dormann et al ). Thus, different phenophases might correspond to different compartments (Martín González et al , Morente‐López et al ), as observed in CG, FAL, LAR and R where higher overlap corresponded to higher numbers of observed visits. Although phenology improved model fit (Table 2), its effect size was modest (Fig.…”

Section: Discussionmentioning

confidence: 98%

Does phenology explain plant–pollinator interactions at different latitudes? An assessment of its explanatory power in plant–hoverfly networks in French calcareous grasslands

Manincor

Hautekèete

Piquot

et al. 2020

Oikos

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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 phenological 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.

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Section: Discussionmentioning

confidence: 98%

Does phenology explain plant–pollinator interactions at different latitudes? An assessment of its explanatory power in plant–hoverfly networks in French calcareous grasslands

Manincor

Hautekèete

Piquot

et al. 2020

Oikos

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“…plant and pollinators). Year of sampling was included as a predictor variable in models, as network metrics can vary across years and seasons (Morente-López, Lara-Romero,Ornosa, & Iriondo, 2018;Olesen, Stefanescu, & Traveset, 2011). We repeated these LMMs including only pollinator species common to all elevations.…”

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confidence: 99%

Beta diversity and specialization in plant–pollinator networks along an elevational gradient

Lara‐Romero

Seguí

Pérez‐Delgado

et al. 2019

Journal of Biogeography

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Aim To assess whether the reduced nutritional resources available for pollinators due to plant community simplification along an elevational plant‐diversity gradient changes pollinator niche breadth and richness. Additionally, we evaluated how body size and proboscis length of pollinators shifted along the gradient, and whether these changes were related to pollinator niche breadth. Location An elevational gradient (2,350–3,520 m a.s.l.) on the oceanic high‐mountain strato‐volcano of El Teide (Tenerife, Canary Islands). Taxon Flowering plant and pollinator species. Methods We compared quantitative plant–pollinator networks along the plant‐diversity gradient. We calculated a set of niche‐based topological metrics that capture the degree of specialization, niche breadth and niche overlap. Furthermore, we obtained β‐diversity measures and the proportion of replacement and richness components. Results There was an overall decline in species richness of pollinators with increasing elevation. This decline was mainly driven by the loss of species along the elevational gradient, which conformed a nested subset pattern. The whole network showed less specialization, greater connectance and lower modularity towards the summit. At high elevations, pollinators were more generalized and less selective in their flower choice, showing a greater trophic niche breadth compared to pollinators at lower elevations. Mean body size of pollinators increased with elevation, and species body size and proboscis length were positively associated with the number of plant species visited. Main conclusions Overall, results indicated that the elevational gradient filters pollinator species, probably according to their thermal tolerance and ability to exploit a wide range of trophic resources. The finding that pollinators become more generalized and opportunistic at higher elevations is a novel result, which may have implications for new research into how ecological networks vary over environmental gradients. From an applied perspective, our results highlight the importance of considering the spatial variation of species assemblages when aiming to construct functionally reliable interaction networks along environmental gradients.

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“…The use of trait-based and phylogenetic tree-based proxies lies in the idea of niche complementarity, whereby species with similar functional traits and thus partially overlapping niches are expected to perform similar and, to a certain degree, redundant, ecological roles (Pigot et al 2016). Frugivores with distinct traits tend to be more functionally specialized, interacting with plants that are less frequently visited by other members of the community, thus increasing specialization (Junker et al 2012, Maglianesi et al 2015, Watts et al 2016, Tinoco et al 2017) and modularity (Maruyama et al 2014, Morente-López et al 2018) of networks. On the other hand, it was not detected an effect of species' traits on metrics of host-parasitoid networks (Morris et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Global patterns in anuran–prey networks: structure mediated by latitude

Ceron

Oliveira‐Santos

Souza

et al. 2019

Oikos

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Life on Earth is supported by an infinite number of interactions among organisms. Species interactions in these networks are influenced by latitude, evolutionary history and species traits. We performed a global‐scale literature analysis to build up a database of interactions between anuran communities and their preys, from a wide range of geographical areas, using a network approach. For this purpose, we compiled a total of 55 weighted anuran–prey interaction networks, 39 located in the tropics and 16 in temperate areas. We tested the influence of latitude, as well as anuran taxonomic, functional and phylogenetic richness on network metrics. We found that anuran–prey networks are not nested, exhibit low complementary specialization and modularity and high connectance when compared to other types of networks. The main effects on network metrics were related to latitude, followed by anuran taxonomic, functional and phylogenetic richness, a pattern similar to the emerging in mutualistic networks. Our study is the first integrated analysis of the structural patterns in anuran–prey antagonistic interaction networks in different parts of the world. We suggest that different processes, mediated mainly by latitude, are modeling the architecture of anuran–prey networks across the globe.

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Phenology drives species interactions and modularity in a plant - flower visitor network

Cited by 53 publications

References 44 publications

Does phenology explain plant–pollinator interactions at different latitudes? An assessment of its explanatory power in plant–hoverfly networks in French calcareous grasslands

Does phenology explain plant–pollinator interactions at different latitudes? An assessment of its explanatory power in plant–hoverfly networks in French calcareous grasslands

Beta diversity and specialization in plant–pollinator networks along an elevational gradient

Global patterns in anuran–prey networks: structure mediated by latitude

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