Robustness of dispersal network structure to patch loss

Liao, Limei; Shen, Yang; Liao, Jinbao

doi:10.1016/j.ecolmodel.2020.109036

Cited by 6 publications

(6 citation statements)

References 33 publications

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“…Likely such delays caused a reduced number of adults during the counts of central patches relative to the others. Highly-connected patches are commonly considered as the most resilient in a network precisely due to their high number of connections, and thus the most valuable and cost-effective populations for conservation (Calabrese and Fagan 2004; Gonzalez, Thompson, and Loreau 2017; Liao, Shen, and Liao 2020). Our experiment shows how this is not necessarily the case.…”

Section: Discussionmentioning

confidence: 99%

Individual heterogeneity and its importance for metapopulation dynamics

Masier

Dahirel

Mortier

et al. 2020

Preprint

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Habitat fragmentation reduces the area of habitat patches and their connectedness in the landscape. It is well established that the level of connectedness impacts connectivity and metapopulation dynamics, and is therefore a central tenet in conservation biology. Connectedness equally generates sorting of phenotypes within the spatial network and therefore impacts local and regional eco-evolutionary dynamics. Paradoxically, recommendations for species conservation rely on principles derived from theory that neglects any individual phenotypic heterogenety and spatial organization.By creating experimental metapopulations using the model species Tetranychus urticae (two-spotted spider mite) with three levels of landscape connectedness and by regularly removing phenotypic structure in a subset of these populations, we tested the degree to which regional and local population dynamics are determined both by network connectedness and the phenotypic spatial organization.Our results show that some aspects of metapopulation dynamics can be attributed to the evolution of dispersal. More importantly, we find self-organization of phenotypic spatial structure to equalize the effects of reduced connectedness on metapopulation dynamics. These changes were all in the direction of improved metapopulation persistence. Contrary to expectations, the most connected local patches showed an overall reduced local population size, possibly originating from a faster depletion of resources from immigrants or transiting individuals.This experiment shows how metapopulation dynamics can significantly deviate from theoretical expectations if individual heterogeneity is considered, and more importantly that disruption of this phenotypic self-structuring may drive metapopulation dynamics towards higher risks of extinction.Significance StatementChanges in connectedness impact metapopulation dynamics but also the spatial organization of individual phenotypic heterogeneity. The extent to which metapopulation dynamics depend on this phenotypic structuring is unknown, despite the fact metapopulation theory is at the heart of conservation biology. By using experimental metapopulations and a randomization treatment, we demonstrate that the emerging spatial organization of individuals (both genetically and phenotypically) is a major driver of metapopulation dynamics. This spatial organization may be important as it may equalize all variation in metapopulation dynamics across a gradient of connectivity. This potentially rescuing effect stemming from the self-organization of phenotypes in metapopulations is of uttermost importance for conservation and translocation actions.

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Section: Discussionmentioning

confidence: 99%

Individual heterogeneity and its importance for metapopulation dynamics

Masier

Dahirel

Mortier

et al. 2020

Preprint

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“…Similar to Gilarranz and Bascompte (2012) and Liao et al . (2020), we consider four typical dispersal network structures (illustrated in Fig. 1a–d): (1)A homogeneous (or regular) network where all patches have the same degree.…”

Section: Methodsmentioning

confidence: 99%

“…Anisotropic, directionally biased, dispersal can be represented by a heterogeneous network in which the degree of nodes varies. Similar to Gilarranz and Bascompte (2012) and Liao et al (2020), we consider four typical dispersal network structures (illustrated in Fig. 1a-d):…”

Section: Dispersal Network With Heterogeneitymentioning

confidence: 99%

Dispersal network heterogeneity promotes species coexistence in hierarchical competitive communities

et al. 2020

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Understanding the mechanisms of biodiversity maintenance is a fundamental issue in ecology. The possibility that species disperse within the landscape along differing paths presents a relatively unexplored mechanism by which diversity could emerge. By embedding a classical metapopulation model within a network framework, we explore how access to different dispersal networks can promote species coexistence. While it is clear that species with the same demography cannot coexist stably on shared dispersal networks, we find that coexistence is possible on unshared networks, as species can surprisingly form self-organised clusters of occupied patches with the most connected patches at the core. Furthermore, a unimodal biodiversity response to an increase in species colonisation rates or average patch connectivity emerges in unshared networks. Increasing network size also increases species richness monotonically, producing characteristic species-area curves. This suggests that, in contrast to previous predictions, many more species can co-occur than the number of limiting resources.

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“…In the past 2 decades, the issue of network robustness has attracted a lot of attention [10][11][12][13][14][15]. Most of the previous works focus on the structural robustness of complex networks, which is defined as the ability to maintaining their functionalities when they are disturbed or attacked [16,17].…”

Section: Introductionmentioning

confidence: 99%

A new effective metric for dynamical robustness of directed networks

2023

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In this article, dynamical robustness of a directed complex network with additive noise is inverstigated. The failure of a node in the network is modeled by injecting noise into the node. Under the framework of mean-square stochastic stability, a new robustness metric is formulated to characterize the robustness of the network in terms of synchronization to the additive noise. It is found that the node dynamics plays a pivotal role in dynamical robustness of the directed network. Numerical simulations are shown for illustration and verification.

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Robustness of dispersal network structure to patch loss

Cited by 6 publications

References 33 publications

Individual heterogeneity and its importance for metapopulation dynamics

Individual heterogeneity and its importance for metapopulation dynamics

Dispersal network heterogeneity promotes species coexistence in hierarchical competitive communities

A new effective metric for dynamical robustness of directed networks

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