Plant‐centred sampling estimates higher beta diversity of interactions than pollinator‐based sampling across habitats. Issue 6 (18th April 2021)

• Record Type: Journal Article
• Authors: Souza, Camila S.; Maruyama, Pietro K.; Santos, Karen C. B. S.; Varassin, Isabela G.; Gross, Caroline L.; Araujo, Andréa C.
• Is Part Of: New phytologist. Volume 230:Issue 6(2021)
• Page Start: 2501
• Page End: 2512
• Publication Date: 2021-04-18
• Subjects: community composition -- interaction rewiring -- interaction turnover -- plant–pollinator interactions -- pollen network -- pollen sampling -- Tropics; Botany -- Periodicals; 580
• DOI: 10.1111/nph.17334
• Languages: English
• ISSNs: 0028-646X

Abstract

Summary: When describing plant–animal interaction networks, sampling can be performed using plant‐ or animal‐centred approaches. Despite known effects of sampling on network structure, how samplings affect the estimates of interaction β‐diversity across networks is still unresolved. We investigated how the sampling method affects the assessment of β‐diversity of interactions, turnover and rewiring. We contrasted plant‐ and animal‐centred sampling methods applied to pollination networks across habitats in a heterogeneous tropical landscape, the Pantanal Wetlands. We also asked whether plant traits influence the difference in interaction specialization according to sampling. Plant‐centred networks resulted in higher β‐diversity of interactions in space than animal‐centred networks. Turnover explained most of the β‐diversity in both methods, but rewiring was proportionately more important when using the animal‐centred method. While the plant‐centred method indicated lower network modularity and specialization, floral traits modulated the effects of the sampling method on species‐level network metrics. Combining animal‐ and plant‐centred approaches returned intermediate values for β‐diversity of interactions and network metrics. Distinct methods may also be better suited for answering questions at different scales. Our results point out that the method choice, or combination of methods, should always reflect the appropriate scale of the factors determining the interactions being investigated.