ORCID Profile
0000-0001-5492-2324
Current Organisation
Universidade Federal de Minas Gerais
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: Wiley
Date: 16-04-2018
Publisher: Wiley
Date: 10-06-2022
Abstract: Plants establish pollination interactions with different groups of animals, including nocturnal ones that establish interactions with economically valuable and culturally important crops, as well as wild plants of conservation concern. Despite the considerable number of studies addressing the structure and dynamic of pollination networks, nocturnal interactions have been relatively overlooked. Using a multilayer network approach and considering diurnal and nocturnal interactions, we aimed to understand how interactions at different periods of the day are integrated and contribute to the network structural pattern. We also aimed to highlight how multilayer networks may give a more nuanced assessment of species importance across layers. We assembled a pollination network of an intensively studied Neotropical area by standardizing interaction data from 16 previous studies into a presence/absence (binary) network. Then, we used a multilayer network approach to evaluate the network modularity and plant species' roles in these different temporal layers. Plants were classified as nocturnal or diurnal according to the onset of floral opening and pollinators were classified according to their foraging period. The network consisted of 178 pollinator species and 158 plant species, with 870 links. Among plant species, 135 species have diurnal floral opening while 23 species are nocturnal. The multilayer network was significantly modular, and these modules differed in the composition of pollinator groups (e.g., hawk moths, bats, bees, hummingbirds), as well as of diurnal and nocturnal plants. We show that diurnal and nocturnal interactions are organized into interconnected modules in the multilayer network. Nocturnal plants had higher values of versatility and multidegree than diurnal plants, due to their role in connecting the two temporal layers. Synthesis . Our study highlights the importance of integrating different pollination systems to understand the importance of distinct components that structure pollination networks. We also illustrate the value of tapping into existing information, particularly species interaction data, from well‐studied bio ersity hotspot areas, to gain a better understanding of how communities are structured. Finally, despite the relative scarcity of nocturnal pollination network studies, we showed nocturnal plants, which often make complementary use of diurnal pollinators, to be important in connecting the temporal layers.
Publisher: IEEE
Date: 08-2017
Publisher: FapUNIFESP (SciELO)
Date: 02-07-2018
Publisher: Wiley
Date: 18-04-2021
DOI: 10.1111/NPH.17334
Abstract: When describing plant–animal interaction networks, s ling can be performed using plant‐ or animal‐centred approaches. Despite known effects of s ling on network structure, how s lings affect the estimates of interaction β‐ ersity across networks is still unresolved. We investigated how the s ling method affects the assessment of β‐ ersity of interactions, turnover and rewiring. We contrasted plant‐ and animal‐centred s ling 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 s ling. Plant‐centred networks resulted in higher β‐ ersity of interactions in space than animal‐centred networks. Turnover explained most of the β‐ ersity 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 s ling method on species‐level network metrics. Combining animal‐ and plant‐centred approaches returned intermediate values for β‐ ersity 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.
No related grants have been discovered for Pietro Kiyoshi Maruyama Mendonça.