Exploring community assembly through an individual-based model for trophic interactions

2009 ◽  
Vol 220 (1) ◽  
pp. 23-39 ◽  
Author(s):  
Henrique Corrêa Giacomini ◽  
Paulo De Marco ◽  
Miguel Petrere
2013 ◽  
Vol 251 ◽  
pp. 32-43 ◽  
Author(s):  
Henrique C. Giacomini ◽  
Donald L. DeAngelis ◽  
Joel C. Trexler ◽  
Miguel Petrere

2016 ◽  
Vol 283 (1840) ◽  
pp. 20161729 ◽  
Author(s):  
Mikael Pontarp ◽  
Owen L. Petchey

The expected link between competitive exclusion and community trait overdispersion has been used to infer competition in local communities, and trait clustering has been interpreted as habitat filtering. Such community assembly process inference has received criticism for ignoring trophic interactions, as competition and trophic interactions might create similar trait patterns. While other theoretical studies have generally demonstrated the importance of predation for coexistence, ours provides the first quantitative demonstration of such effects on assembly process inference, using a trait-based ecological model to simulate the assembly of a competitive primary consumer community with and without the influence of trophic interactions. We quantified and contrasted trait dispersion/clustering of the competitive communities with the absence and presence of secondary consumers. Trophic interactions most often decreased trait clustering (i.e. increased dispersion) in the competitive communities due to evenly distributed invasions of secondary consumers and subsequent competitor extinctions over trait space. Furthermore, effects of trophic interactions were somewhat dependent on model parameters and clustering metric. These effects create considerable problems for process inference from trait distributions; one potential solution is to use more process-based and inclusive models in inference.


2020 ◽  
Vol 30 (19) ◽  
pp. R1176-R1188
Author(s):  
Matti Gralka ◽  
Rachel Szabo ◽  
Roman Stocker ◽  
Otto X. Cordero

2019 ◽  
Author(s):  
Coline Deveautour ◽  
Suzanne Donn ◽  
Sally Power ◽  
Kirk Barnett ◽  
Jeff Powell

Future climate scenarios predict changes in rainfall regimes. These changes are expected to affect plants via effects on the expression of root traits associated with water and nutrient uptake. Associated microorganisms may also respond to these new precipitation regimes, either directly in response to changes in the soil environment or indirectly in response to altered root trait expression. We characterised arbuscular mycorrhizal (AM) fungal communities in an Australian grassland exposed to experimentally altered rainfall regimes. We used Illumina sequencing to assess the responses of AM fungal communities associated with four plant species sampled in different watering treatments and evaluated the extent to which shifts were associated with changes in root traits. We observed that altered rainfall regimes affected the composition but not the richness of the AM fungal communities, and we found distinctive communities in the increased rainfall treatment. We found no evidence of altered rainfall regime effects via changes in host physiology because none of the studied traits were affected by changes in rainfall. However, specific root length was observed to correlate with AM fungal richness, while concentrations of phosphorus and calcium in root tissue and the proportion of root length allocated to fine roots were correlated to community composition. Our study provides evidence that climate change and its effects on rainfall may influence AM fungal community assembly, as do plant traits related to plant nutrition and water uptake. We did not find evidence that host responses to altered rainfall drive AM fungal community assembly in this grassland ecosystem.


2017 ◽  
Vol 79 (2) ◽  
pp. 165-175 ◽  
Author(s):  
KL Vergin ◽  
N Jhirad ◽  
J Dodge ◽  
CA Carlson ◽  
SJ Giovannoni

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