How structurally stable are global socioeconomic systems?

Saavedra, Serguei; Rohr, Rudolf P.; Gilarranz, Luis J.; Bascompte, Jordi

doi:10.1098/rsif.2014.0693

Cited by 40 publications

(68 citation statements)

References 30 publications

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“…More systematically, let us take the classic Lotka‐Volterra (LV) dynamics

\dot{\overset{N}{true}} = \overset{false\to}{N} false(\overset{r}{true} - scriptA \overset{N}{true} false)

as a toy model. These dynamics are useful as one can directly associate the structure of the feasibility domain with the network structure (Saavedra, Rohr, Gilarranz, & Bascompte, ). However, note that results of our discussion extend to a larger class of population dynamics models with nonlinear functional responses (Cenci & Saavedra, ).…”

Section: Inconsistent Conclusion About the Importance Of Network Strmentioning

confidence: 99%

“…While random perturbations act on all the elements of the interaction matrix or the vector of intrinsic growth rates, directional perturbations act on one single column or element. These changes are equivalent to random and targeted perturbations either on the interactions or nodes of a network (Saavedra et al., , ). After the perturbations, we compute the new equilibrium solution with the changed parameters.…”

Section: Inconsistent Conclusion About the Importance Of Network Strmentioning

confidence: 99%

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Rethinking the importance of the structure of ecological networks under an environment‐dependent framework

Cenci

Song

Saavedra

2018

Ecology and Evolution

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A major quest in network and community ecology has been centered on understanding the importance of structural patterns in species interaction networks—the synthesis of who interacts with whom in a given location and time. In the past decades, much effort has been devoted to infer the importance of a particular structure by its capacity to tolerate an external perturbation on its structure or dynamics. Here, we demonstrate that such a perspective leads to inconsistent conclusions. That is, the importance of a network structure changes as a function of the external perturbations acting on a community at any given point in time. Thus, we discuss a research agenda to investigate the relative importance of the structure of ecological networks under an environment‐dependent framework. We hypothesize that only by studying systematically the link between network structure and community dynamics under an environment‐dependent framework, we can uncover the limits at which communities can tolerate environmental changes.

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“…More systematically, let us take the classic Lotka‐Volterra (LV) dynamics

\dot{\overset{N}{true}} = \overset{false\to}{N} false(\overset{r}{true} - scriptA \overset{N}{true} false)

Section: Inconsistent Conclusion About the Importance Of Network Strmentioning

confidence: 99%

Section: Inconsistent Conclusion About the Importance Of Network Strmentioning

confidence: 99%

Rethinking the importance of the structure of ecological networks under an environment‐dependent framework

Cenci

Song

Saavedra

2018

Ecology and Evolution

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“…; Saavedra et al. ). Importantly, the conditions leading to the stability of a community do not automatically imply its feasibility and vice versa (Vandermeer , ; Roberts ; Svirezhev and Logofet ; Stone ; Logofet ; Rohr et al.…”

Section: Introductionmentioning

confidence: 97%

Nested species interactions promote feasibility over stability during the assembly of a pollinator community

Saavedra

Rohr

Olesen

et al. 2016

Ecology and Evolution

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The foundational concepts behind the persistence of ecological communities have been based on two ecological properties: dynamical stability and feasibility. The former is typically regarded as the capacity of a community to return to an original equilibrium state after a perturbation in species abundances and is usually linked to the strength of interspecific interactions. The latter is the capacity to sustain positive abundances on all its constituent species and is linked to both interspecific interactions and species demographic characteristics. Over the last 40 years, theoretical research in ecology has emphasized the search for conditions leading to the dynamical stability of ecological communities, while the conditions leading to feasibility have been overlooked. However, thus far, we have no evidence of whether species interactions are more conditioned by the community's need to be stable or feasible. Here, we introduce novel quantitative methods and use empirical data to investigate the consequences of species interactions on the dynamical stability and feasibility of mutualistic communities. First, we demonstrate that the more nested the species interactions in a community are, the lower the mutualistic strength that the community can tolerate without losing dynamical stability. Second, we show that high feasibility in a community can be reached either with high mutualistic strength or with highly nested species interactions. Third, we find that during the assembly process of a seasonal pollinator community located at The Zackenberg Research Station (northeastern Greenland), a high feasibility is reached through the nested species interactions established between newcomer and resident species. Our findings imply that nested mutualistic communities promote feasibility over stability, which may suggest that the former can be key for community persistence.

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“…In a competition system, for instance, we can show that the lower the level of interspecific competition, relative to intraspecific, the larger the domain of feasibility [59]. For mutualistic interactions, with a given number of species, links, and distribution of interaction strengths, feasibility domains increase with network nestedness [60].…”

Section: Box 3 Modeling Species Interactionsmentioning

confidence: 99%