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Pablo Moisset de Espanés

Researcher at University of Chile

Publications -  22
Citations -  925

Pablo Moisset de Espanés is an academic researcher from University of Chile. The author has contributed to research in topics: Population & Tile. The author has an hindex of 10, co-authored 22 publications receiving 818 citations. Previous affiliations of Pablo Moisset de Espanés include University of Southern California & Stanford University.

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Journal ArticleDOI

Complexities for Generalized Models of Self-Assembly

TL;DR: In this paper, the authors studied the complexity of tile self-assembly under various generalizations of the tile selfassembly model and provided a lower bound of Ω( √ n 1/k) for the standard model.
Proceedings ArticleDOI

Combinatorial optimization problems in self-assembly

TL;DR: Two combinatorial optimization problems related to efficient self-assembly of shapes in the Tile Assembly Model of self- assembly proposed by Rothemund and Winfree are studied, and it is proved that the first problem is NP-complete in general, and polynomial time solvable on trees and squares.
Journal ArticleDOI

Topological plasticity increases robustness of mutualistic networks.

TL;DR: The results highlight the potential role of topological plasticity in the robustness of mutualistic networks to species extinctions and suggest some plausible mechanisms by which the decisions of foragers may shape the collective dynamics of plant-pollinator systems.
Journal ArticleDOI

Adaptive foraging allows the maintenance of biodiversity of pollination networks

TL;DR: A new population dynamics model for plant–pollinator interactions that is based on the consumer–resource approach and incorporates a few essential features of pollination ecology is presented, suggesting that pollination networks can maintain their stability and diversity by the adaptive foraging of generalist pollinators.
Journal ArticleDOI

Niche partitioning due to adaptive foraging reverses effects of nestedness and connectance on pollination network stability.

TL;DR: Adaptive foraging behaviour reverses negative effects of nestedness and positive effects of connectance on the stability of the networks by partitioning the niches among species within guilds, showing that incorporating key organismal behaviours with well-known biological mechanisms such as consumer-resource interactions into the analysis of ecological networks may greatly improve the understanding of complex ecosystems.