A Meta-analysis of Plant Interaction Networks Reveals Competitive Hierarchies as well as Facilitation and Intransitivity

2019 ◽  
Vol 194 (5) ◽  
pp. 640-653 ◽  
Author(s):  
Nicole L. Kinlock
Keyword(s):  
Meta Analysis ◽  
Interaction Networks ◽  
Plant Interaction ◽  
Competitive Hierarchies

Bee-Plant Interaction Networks in a Seasonal Dry Tropical Forest of the Colombian Caribbean

2020 ◽  
Vol 49 (4) ◽  
pp. 533-544 ◽  
Author(s):  
N. A. Flórez-Gómez ◽  
J. D. Maldonado-Cepeda ◽  
R. Ospina-Torres
Keyword(s):  
Tropical Forest ◽  
Interaction Networks ◽  
Dry Tropical Forest ◽  
Plant Interaction ◽  
Bee Plant

Sampling effort differences can lead to biased conclusions on the architecture of ant–plant interaction networks

2016 ◽  
Vol 25 ◽  
pp. 44-52 ◽  
Author(s):  
Jéssica C.F. Falcão ◽  
Wesley Dáttilo ◽  
Victor Rico-Gray
Keyword(s):  
Interaction Networks ◽  
Sampling Effort ◽  
Plant Interaction

Sampling bias affects the relationship between structural importance and species body mass in frugivore-plant interaction networks

2020 ◽  
Vol 44 ◽  
pp. 100870
Author(s):  
Juan Fernando Acevedo-Quintero ◽  
Romeo A. Saldaña-Vázquez ◽  
Eduardo Mendoza ◽  
Joan Gastón Zamora-Abrego
Keyword(s):  
Body Mass ◽  
Sampling Bias ◽  
Interaction Networks ◽  
Plant Interaction ◽  
Structural Importance ◽  
The Relationship

Disentangling the architecture of the frugivorous bird-plant interaction networks in a savanna-forest mosaic in the Neotropical savanna

2020 ◽  
Vol 107 ◽  
pp. 103601
Author(s):  
Keila Nunes Purificação ◽  
Márcia Cristina Pascotto ◽  
Fernando Pedroni ◽  
Henrique Augusto Mews ◽  
Dilermando Pereira Lima-Junior
Keyword(s):  
Interaction Networks ◽  
Neotropical Savanna ◽  
Plant Interaction ◽  
Frugivorous Bird ◽  
Forest Mosaic

scholarly journals Temporal dynamics of the hummingbird-plant interaction network of a dry forest in Chamela, Mexico: a 30-year follow-up after two hurricanes

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e8338
Author(s):  
Sergio Díaz Infante ◽  
Carlos Lara ◽  
Maria del Coro Arizmendi
Keyword(s):  
Plant Species ◽  
Network Structure ◽  
Temporal Dynamics ◽  
Interaction Network ◽  
Dry Forest ◽  
Interaction Networks ◽  
Severe Drought ◽  
Plant Interactions ◽  
Temporal Perspective ◽  
Plant Interaction

Background Interactions among species are a driving force of community structure. The species composition of animal-plant interaction networks can be highly dynamic on a temporal scale, even though the general network structure is usually not altered. However, few studies have examined how interaction networks change over long periods of time, particularly after extreme natural events. We analyzed herein the structure of the hummingbird-plant interaction network in a dry forest of Chamela, Mexico, comparing the structure in 1985–1986 with that in 2016–2017 following the passage of two hurricanes (category 2 Jova in 2011 and category 4 Patricia in 2015). Methods The fieldwork was carried out in the Chamela-Cuixmala Biosphere Reserve in Jalisco, Mexico. In the last 30 years, three severe drought events and two hurricanes have affected this region. Previously, from 1985–1986, hummingbird-plant interactions were recorded monthly for one year in the study area. Then, from 2016–2017, we replicated the sampling in the same localities. We compared the network parameters describing the plant-hummingbird interactions of each period using adjacency matrices. Results We found differences in the number and identity of interacting species, especially plants. The plant species missing in 2016–2017 were either the least connected in the original network (1985–1986) or belonged to groups such as cacti, epiphytes, or trees. The new plant species incorporated in the 2016–2017 network were herbs, vines, and shrubs, or other species barely connected. These changes in the composition are consistent with reports on vegetation damage after strong hurricanes at other study sites. Conversely, all hummingbird species remained in the network, with the exception of Heliomaster constantii, which was primarily connected to a plant species absent in the 2016–2017 network. Migratory and habitat generalist species (i.e., Archilochus spp.) showed higher abundances following the disturbance events. Conclusions Most of the parameters describing the hummingbird-plant network structure remained unchanged after 30 years, with the exception of an increase in plant robustness and hummingbird niche overlap. However, the network’s generalist core was affected by the loss of some species. Also, core plant species such as Ipomoea bracteata, Combretum farinosum, and Justicia candicans were found to be important for maintaining the hummingbird-plant interaction network. The temporal perspective of this study provides unique insights into the conservation of plant-hummingbird networks across time and extreme natural events.

scholarly journals Generalist Bee Species on Brazilian Bee-Plant Interaction Networks

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Astrid de Matos Peixoto Kleinert ◽  
Tereza Cristina Giannini
Keyword(s):  
Apis Mellifera ◽  
Plant Species ◽  
Native Species ◽  
Interaction Networks ◽  
Plant Interactions ◽  
Generalist Species ◽  
Plant Interaction ◽  
Bee Plant ◽  
The 1960S ◽  
Number Of Individuals

Determining bee and plant interactions has an important role on understanding general biology of bee species as well as the potential pollinating relationship between them. Bee surveys have been conducted in Brazil since the end of the 1960s. Most of them applied standardized methods and had identified the plant species where the bees were collected. To analyze the most generalist bees on Brazilian surveys, we built a matrix of bee-plant interactions. We estimated the most generalist bees determining the three bee species of each surveyed locality that presented the highest number of interactions. We found 47 localities and 39 species of bees. Most of them belong to Apidae (31 species) and Halictidae (6) families and to Meliponini (14) and Xylocopini (6) tribes. However, most of the surveys presentedApis melliferaand/orTrigona spinipesas the most generalist species.Apis melliferais an exotic bee species andTrigona spinipes, a native species, is also widespread and presents broad diet breath and high number of individuals per colony.

scholarly journals Meta-analysis of expression signatures of muscle atrophy: gene interaction networks in early and late stages

BMC Genomics ◽  
2008 ◽  
Vol 9 (1) ◽  
pp. 630 ◽  
Author(s):  
Enrica Calura ◽  
Stefano Cagnin ◽  
Anna Raffaello ◽  
Paolo Laveder ◽  
Gerolamo Lanfranchi ◽  
...  
Keyword(s):  
Muscle Atrophy ◽  
Meta Analysis ◽  
Gene Interaction ◽  
Interaction Networks ◽  
Gene Interaction Networks ◽  
Late Stages

scholarly journals Flower-mediated plant-butterfly interactions in an heterogeneous tropical coastal ecosystem

PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e5493 ◽  
Author(s):  
Cristian A. Martínez-Adriano ◽  
Cecilia Díaz-Castelazo ◽  
Armando Aguirre-Jaimes
Keyword(s):  
Species Richness ◽  
Protected Area ◽  
Vegetation Type ◽  
Interspecific Interactions ◽  
Flowering Plants ◽  
Interaction Networks ◽  
Butterfly Species ◽  
Vegetation Types ◽  
Plant Interactions ◽  
Plant Interaction

Background Interspecific interactions play an important role in determining species richness and persistence in a given locality. However at some sites, the studies, especially for interaction networks on adult butterflies are scarce. The present study aimed the following objectives: (1) determine butterfly species richness and diversity that visit flowering plants, (2) compare species richness and diversity in butterfly-plant interactions among six different vegetation types and (3) analyze the structure of butterfly-flowering plant interaction networks mediated by flowers. Methods The study was developed in six vegetation types within the natural reserve of La Mancha, located in Veracruz, Mexico. In each vegetation type, we recorded the frequency of flower visits by butterflies monthly in round plots (of radius 5 m) for 12 months. We calculated Shannon diversity for butterfly species and diversity of interactions per vegetation type. We determined the classic Jaccard similarity index among vegetation types and estimated parameters at network and species-level. Results We found 123 species of butterflies belonging to 11 families and 87 genera. The highest number of species belonged to Hesperiidae (46 species), followed by Nymphalidae (28) and Pieridae (14). The highest butterfly diversity and interaction diversity was observed in pioneer dune vegetation (PDV), coastal dune scrub (CDS) and tropical deciduous flooding forest and wetland (TDF-W). The same order of vegetation types was found for interaction diversity. Highest species similarity was found between PDV-CDS and PDV-TDF. The butterfly-plant interaction network showed a nested structure with one module. The species Ascia monuste, Euptoieta hegesia and Leptotes cassius were the most generalist in the network, while Horama oedippus, E. hegesia, and L. cassius were the species with highest dependencies per plant species. Discussion Our study is important because it constitutes a pioneer study of butterfly-plant interactions in this protected area, at least for adult butterflies; it shows the diversity of interactions among flowering plants and butterflies. Our research constitutes the first approach (at a community level) to explore the functional role of pollination services that butterflies provide to plant communities. We highlighted that open areas show a higher diversity and these areas shared a higher number of species that shaded sites. In the interaction networks parameters, our results highlighted the higher dependence of butterflies by the flowers on which they feed than vice versa. In conclusion, the plant species (as a feeding resource) seem to limit the presence of butterfly species. Thus, this protected area is highly relevant for Lepidoptera diversity and the interaction between these insects and flowering plants. We suggest that studying plant and butterfly diversity in tropical habitats will provide insight into their interspecific interactions and community structure.

scholarly journals Mergeomics: integration of diverse genomics resources to identify pathogenic perturbations to biological systems

2016 ◽  
Author(s):  
Le Shu ◽  
Yuqi Zhao ◽  
Zeyneb Kurt ◽  
Sean Geoffrey Byars ◽  
Taru Tukiainen ◽  
...  
Keyword(s):  
Cholesterol Metabolism ◽  
Meta Analysis ◽  
Gene Interaction ◽  
Interaction Networks ◽  
Specific Gene ◽  
Data Types ◽  
Tissue Specific ◽  
Pathway Network ◽  
Tissue Specific Gene ◽  
Gene Interaction Networks

Mergeomics is a computational pipeline (http://mergeomics.research.idre.ucla.edu/Download/Package/) that integrates multidimensional omics-disease associations, functional genomics, canonical pathways and gene-gene interaction networks to generate mechanistic hypotheses. It first identifies biological pathways and tissue-specific gene subnetworks that are perturbed by disease-associated molecular entities. The disease-associated subnetworks are then projected onto tissue-specific gene-gene interaction networks to identify local hubs as potential key drivers of pathological perturbations. The pipeline is modular and can be applied across species and platform boundaries, and uniquely conducts pathway/network level meta-analysis of multiple genomic studies of various data types. Application of Mergeomics to cholesterol datasets revealed novel regulators of cholesterol metabolism.

scholarly journals The importance of natural history studies for a better comprehension of animal-plant interaction networks

2013 ◽  
pp. 439-448 ◽  
Author(s):  
Kleber Del-Claro ◽  
Vanessa Stefani ◽  
Denise Lange ◽  
Andrea Andrade Vilela ◽  
Larissa Nahas ◽  
...  
Keyword(s):  
Natural History ◽  
Interaction Networks ◽  
Plant Interaction ◽  
Natural History Studies
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