An individual‐based model for the eco‐evolutionary emergence of bipartite interaction networks

Maliet, Odile; Loeuille, Nicolas; Morlon, Hélène

doi:10.1111/ele.13592

Cited by 27 publications

(66 citation statements)

References 85 publications

(142 reference statements)

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“…to create stabilizing selection across populations (Kopp and Gavrilets, 2006;Maliet et al, 2020;Yoder and Nuismer, 2010). In the former case, the arms-race and inverse-frequency-dependent dynamics of antagonistic interactions should often mean that associates are adapted to their local host populations (Gomulkiewicz et al, 2000;Nuismer et al, 2007;Ridenhour and Nuismer, 2007) -and therefore show isolation by host plant, as we find.…”

Section: P R E P R I N Tmentioning

confidence: 50%

Plant-associate interactions and diversification across trophic levels

Yoder

Dang

MacGregor

et al. 2021

Preprint

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Interactions between species are widely understood to have promoted the diversification of life on earth, but how interactions spur the the formation of new species remains unclear. Interacting species often become locally adapted to each other, but they may also be subject to shared dispersal limitations and environmental conditions. Moreover, theory predicts that different kinds of interactions have different effects on diversification. To better understand how species interactions promote diversification, we compiled published genetic data for host plants and intimately associated herbivores, parasites, and mutualists. We first tested whether host and associate population structures were correlated --- an indication of associates locally adapting to hosts --- and tested for confounding correlations with geographic distance or climate variation. We used Bayesian multiple regression to estimate the effect of host plant genetic differentiation on associate genetic differentiation over and above the confounding effects of geography and climate. We found that plant and associate genetic structures are indeed often congruent, but isolation by distance and by climate are also common. Multiple regressions established that the effect of host plants on associates is robust to accounting for geographic distance and climate. Finally, associate genetic structure was significantly explained by plant genetic structure more often in antagonistic interactions than in mutualistic ones. This supports a key prediction of coevolutionary theory, that antagonistic interactions promote diversity through local adaptation of antagonists to hosts, while mutualistic interactions promote diversity via the effect of hosts' geographic distribution on mutualists' dispersal.

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Section: P R E P R I N Tmentioning

confidence: 50%

Plant-associate interactions and diversification across trophic levels

Yoder

Dang

MacGregor

et al. 2021

Preprint

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“…Our results revealed strong species and network specialisation in the forest sites, which demonstrates the existence of strong liana-host specificity across the various networks in the two forest. Host specificity and network specialisation have been reported to cause non-nestedness and modularity in networks (Cordeiro et al, 2020;Dallas & Cornelius, 2015;Wardhaugh et al, 2015;Maliet et al, 2020). Given this information, the non-nested and modular structure observed in our networks may be driven by the specialisation of the networks and host specificity of the liana species.…”

Section: Liana-tree Network Structurementioning

confidence: 51%

“…A similar pattern was recorded in a moist semi-deciduous forest in Ghana . The high specialisation of the species in the networks shows that antagonism in the networks might have resulted in the evolution of specialisation in both liana and tree species (Maliet et al, 2020). The role of some of the liana and tree species was consistent in the forest sites, whiles other species roles changed from one site to another.…”

Section: Species Role In the Networkmentioning

confidence: 94%

“…Though the nature of liana-tree interaction is still a subject of debate, it tends to be antagonistic, in view of the fact that lianas are not only structural parasites of trees (Tang et al, 2012), but also compete intensely with trees for resources (Sfair et al, 2018). Species of antagonistic networks often evolve high specialisation in order to survive the antagonism of the interactions (Maliet et al, 2020). Our results revealed strong species and network specialisation in the forest sites, which demonstrates the existence of strong liana-host specificity across the various networks in the two forest.…”

Section: Liana-tree Network Structurementioning

confidence: 99%

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Edge disturbance shapes liana diversity and abundance but not liana-tree interaction network patterns in moist semi-deciduous forests, Ghana

Ofosu-Bamfo

Addo‐Fordjour

Belford

2021

Preprint

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We evaluated the response of liana community structure and the patterns of liana-tree interaction structure to forest edge in two moist semi-deciduous forests in Ghana (Asenanyo and Suhuma Forest Reserves: AFR and SFR, respectively). Liana community structure and liana-tree interactions were assessed in 24 50 × 50 m randomly located plots in three forest sites in each forest: edge, interior and deep-interior established at 0-50 m, 200 m and 400 m from edge. Edge effects positively and negatively influenced liana diversity in forest edges of AFR and SFR, respectively. There was a positive influence of edge disturbance on liana abundance in both forests. More liana species experienced positive magnitude of edge influence (MEI) on their abundance. We observed anti-nested structure in all the liana-tree networks in AFR, while no nestedness was observed in the three networks in SFR. The networks in both forests were less connected, and more modular and specialised than their null models. Many liana and tree species were specialised, with the specialisation tending to be symmetrical. Topologically, most of the species were peripherals, with only a few connectors, module hubs, and network hubs. Some of the species showed consistency in their topological roles from one site to another, while the roles of other species changed. Generally, liana species co-occurred randomly on tree species in all the forest sites except edge site in the Asenanyo Forest Reserve. The findings of the study deepen our understanding of liana-tree interactions, provide implications for conservation, and may contribute to development of a robust edge theory.

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“…However, it has been observed that where distantly related plant species share a common assemblage of herbivores, they are likely to defend themselves with similar strategies [50]. Besides, consumers experience a selection pressure to evolve specific traits adapted to consuming the existing resource species [51] that is, they “track” resource defenses and not resource species per se [43]. For example, closely related herbivores prefer Inga (tree) hosts with similar defenses rather than closely related Inga [52].…”

Section: Discussionmentioning

confidence: 99%

Consumers’ active choice behavior promotes coevolutionary units

Alvarenga

Borges

Jorge

et al. 2021

Preprint

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Individual behavior, and local context are processes that can influence the structure and evolution of ecological interactions. In trophic interactions, consumers can increase their fitness by actively choosing resources they are able to explore. The effect of active choice on interaction network structure and their coevolution is not well known. Using an individual-based model, we modeled a community of several species that interact antagonistically. The trait of each individual is modelled explicitly and subjected to the interaction pressure. Besides, each consumer can actively choose to interact with resources that maximize its fitness. We show that active consumer choice can generate coevolutionary units, that is, the modules are formed by coevolution and stay stable over time. Besides, inside each module resource traits converge which promotes attack dilution: when resources converge their traits, the pool of options for a consumer increases and the chance of a specific individual being attacked decreases. We also observed that active consumer choice impacts network structure, with networks more modular and specialized and less connected and nested as the number of consumer choices increase. Thus, we emphasize that the consumers'ctive choice behaviour plays an important role in the ecological and evolutionary aprocesses that structure these communities.

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An individual‐based model for the eco‐evolutionary emergence of bipartite interaction networks

Cited by 27 publications

References 85 publications

Plant-associate interactions and diversification across trophic levels

Plant-associate interactions and diversification across trophic levels

Edge disturbance shapes liana diversity and abundance but not liana-tree interaction network patterns in moist semi-deciduous forests, Ghana

Consumers’ active choice behavior promotes coevolutionary units

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