Food-web complexity emerging from ecological dynamics on adaptive networks

Garcia-Domingo, Josep L.; Saldaña, Joan

doi:10.1016/j.jtbi.2007.04.011

Cited by 21 publications

(24 citation statements)

References 25 publications

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“…May's findings had a remarkable impact on theoretical ecology, giving birth to the "complexity-stability debate" (McCann, 2000;Garcia-Domingo and Saldaña, 2007). This debate tries to reconcile the fact that empirical foodwebs span a wide range of values of S and C (see, e.g., the examples listed in (Dunne et al, 2002)) and thus appear not to be limited by an upper bound on the product S · C, with the results obtained by May.…”

Section: Introductionmentioning

confidence: 95%

“…Such robustness investigations are usually performed with more realistic food web structures than that of random webs, and they incorporate nonlinear population dynamics. In order to search for conditions under which robustness can remain large with increasing S · C, these investigations evaluate robustness either as function of S at fixed C, or as function of C at fixed S. However, even when the mentioned more realistic systems are used, the data typically show a negative complexity-stability relation, i.e., robustness decreases when either S or C is increased (Kondoh, 2003a;Garcia-Domingo and Saldaña, 2007;Kondoh, 2005;Uchida and Drossel, 2007). Recently, it was found that including foraging adaptation can lead to positive complexitystability relations when random or cascade topologies are used (Kondoh, 2003a).…”

Section: Introductionmentioning

confidence: 99%

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Positive complexity–stability relations in food web models without foraging adaptation

Kartascheff

Guill

Drossel

2009

Journal of Theoretical Biology

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May's local stability analysis of random food web models showed that increasing network complexity leads to decreasing stability, a result that is contradictory to earlier empirical findings. Since this seminal work, research of complexity-stability relations became one of the most challenging issues in theoretical ecology. We investigate conditions for positive complexity-stability relations in the niche, cascade, nested hierarchy, and random models by evaluating the network robustness, i.e. the fraction of surviving species after population dynamics. We find that positive relations between robustness and complexity can be obtained when resources are large, Holling II functional response is used and interaction strengths are weighted with the number of prey species, in order to take foraging efforts into account. In order to obtain these results, no foraging dynamics needs to be included. However, the niche model does not show positive complexity-stability relations under these conditions. By comparing to empirical food-web data, we show that the niche model has unrealistic distributions of predator numbers. When this distribution is randomized, positive complexity-stability relations can be found also in the niche model.

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Section: Introductionmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Positive complexity–stability relations in food web models without foraging adaptation

Kartascheff

Guill

Drossel

2009

Journal of Theoretical Biology

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“…Coevolutionary systems emerge in many different applications and have been studied in epidemic propagation [1,2], technical distribution networks [3,4], neural networks [5,6], models of social dynamics [7][8][9], game theory [10], ecological research models [11,12], chemical networks [13,14]. This paper proposes a microscopic model of wealth exchange between agents located on a dynamical network where the structure formation and wealth distribution are characterized and studied.…”

Section: Introductionmentioning

confidence: 99%

Emergence of communities in a coevolutive model of wealth exchange

Agreda

Tucci

2014

Eur. Phys. J. Spec. Top.

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We present a model in which we investigate the structure and evolution of a random network that connects agents capable of exchanging wealth. Economic interactions between neighbors can occur only if the difference between their wealth is less than a threshold value that defines the width of the economic classes. If the interchange of wealth cannot be done, agents are reconnected with another randomly selected agent, allowing the network to evolve in time. On each interaction there is a probability of favoring the poorer agent, simulating the action of the government. We measure the Gini index, having real world values attached to reality. Besides the network structure showed a very close connection with the economic dynamic of the system.

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“…Although 13 we do not address at all direction of these relationships in this paper, we tested for robustness (or Here we show that the role of adaptive foraging is not that straightforward as the previous through the search image model on species persistence in complex food webs is highly sensitive 16 to parameter values (Fig. 2), the degree they vary among the species (Fig.…”

mentioning

confidence: 96%

“…As it is difficult to deal with highly complex food webs, researchers have 13 sometimes lumped functionally similar species together (e.g., Yodzis and Winemiller 1999) 14 and/or thought of food webs as collections of simple building blocks, called community mod- 15 ules in ecology (Holt 1995) and motifs in the gene networks literature (e.g., Milo et al 2002). 16 Mathematical analysis of such community modules (including food chain, exploitative compe-17 tition, apparent competition, omnivory and others) is relatively straightforward and has revealed 18 important effects of their structure on population dynamics, through both direct and indirect in- 19 teractions (Holt 1995). This suggests that food web structure is one of the major determinants 20 of population dynamics.…”

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confidence: 99%

Adaptive foraging does not always lead to more complex food webs

Berec¹,

Eisner²,

Křivan³

2010

Journal of Theoretical Biology

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Recent modeling studies exploring the effect of consumers' adaptivity in diet com-1 position on food web complexity invariably suggest that adaptivity in foraging decisions of 2 consumers makes food webs more complex. That is, it allows for survival of a higher num-3 ber of species when compared with non-adaptive food webs. Population-dynamical models in 4 these studies share two features: parameters are chosen uniformly for all species, i.e., they are 5 species-independent, and adaptive foraging is described by the search image model. In this 6 article, we relax both these assumptions. Specifically, we allow parameters to vary among the 7 species and consider the diet choice model as an alternative model of adaptive foraging. Our

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Food-web complexity emerging from ecological dynamics on adaptive networks

Cited by 21 publications

References 25 publications

Positive complexity–stability relations in food web models without foraging adaptation

Positive complexity–stability relations in food web models without foraging adaptation

Emergence of communities in a coevolutive model of wealth exchange

Adaptive foraging does not always lead to more complex food webs

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