Literature DB >> 30612225

Local drivers of the structure of a tropical bird-seed dispersal network.

Tiago Machado-de-Souza1,2,3,4, Ricardo Pamplona Campos5, Mariano Devoto6,7, Isabela Galarda Varassin5,8.   

Abstract

One of the major challenges in ecology is to understand the relative importance of neutral- and niche-based processes structuring species interactions within communities. The concept of neutral-based processes posits that network structure is a result of interactions between species based on their abundance. On the other hand, niche-based processes presume that network structure is shaped by constraints to interactions. Here, we evaluated the relative importance of neutral-based process, represented by species' abundance (A) and fruit production (F) models, and niche-based process, represented by spatial overlap (S), temporal overlap (T) and morphological barrier (M) models, in shaping the structure of a bird-seed dispersal network from the Brazilian Atlantic Forest. We evaluated the ability of each model, singly or in combination, to predict the general structure [represented by connectance, nestedness (NODF), weight nestedness (WNODF), interaction evenness and complementary specialization] and microstructure of the network (i.e., the frequency of pairwise interactions). Only nestedness (both NODF and WNODF) was predicted by at least one model. NODF and WNODF were predicted by a neutral-based process (A), by a combination of niche-based processes (ST and STM) and by both neutral- and niche-based processes (AM). NODF was also predicted by F and FM model. Regarding microstructure, temporal overlap (T) was the most parsimonious model able to predict it. Our findings reveal that a combination of neutral- and niche-based processes is a good predictor of the general structure (NODF and WNODF) of the bird-seed dispersal network and a niche-based process is the best predictor of the network's microstructure.

Entities:  

Keywords:  Atlantic forest; Forbidden links; Frugivory; Mutualistic network; Neutrality

Mesh:

Year:  2019        PMID: 30612225     DOI: 10.1007/s00442-018-4322-0

Source DB:  PubMed          Journal:  Oecologia        ISSN: 0029-8549            Impact factor:   3.225


  3 in total

1.  Mechanisms underlying interaction frequencies and robustness in a novel seed dispersal network: lessons for restoration.

Authors:  Jeferson Vizentin-Bugoni; Jinelle H Sperry; J Patrick Kelley; Jeffrey T Foster; Donald R Drake; Samuel B Case; Jason M Gleditsch; Amy M Hruska; Rebecca C Wilcox; Corey E Tarwater
Journal:  Proc Biol Sci       Date:  2022-09-14       Impact factor: 5.530

2.  Relative species abundance successfully predicts nestedness and interaction frequency of monthly pollination networks in an alpine meadow.

Authors:  Lei Hu; Yuran Dong; Shucun Sun
Journal:  PLoS One       Date:  2019-10-28       Impact factor: 3.240

3.  Assessing Biotic and Abiotic Interactions of Microorganisms in Amazonia through Co-Occurrence Networks and DNA Metabarcoding.

Authors:  Camila Duarte Ritter; Dominik Forster; Josue A R Azevedo; Alexandre Antonelli; R Henrik Nilsson; Martha E Trujillo; Micah Dunthorn
Journal:  Microb Ecol       Date:  2021-02-18       Impact factor: 4.552

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.