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Daniel Ayllón
Researcher at Complutense University of Madrid
Publications - 43
Citations - 1413
Daniel Ayllón is an academic researcher from Complutense University of Madrid. The author has contributed to research in topics: Population & Salmo. The author has an hindex of 18, co-authored 39 publications receiving 1002 citations. Previous affiliations of Daniel Ayllón include Helmholtz Centre for Environmental Research - UFZ & University of Castilla–La Mancha.
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Journal ArticleDOI
The ODD protocol for describing agent-based and other simulation models: A second update to improve clarity, replication, and structural realism
Volker Grimm,Steven F. Railsback,Christian E. Vincenot,Uta Berger,Cara A. Gallagher,Donald L. DeAngelis,Bruce Edmonds,Jiaqi Ge,Jarl Giske,Jürgen Groeneveld,Alice S. A. Johnston,Alexander Milles,Jacob Nabe-Nielsen,J. Gareth Polhill,Viktoriia Radchuk,Marie-Sophie Rohwäder,Richard A. Stillman,Jan C. Thiele,Daniel Ayllón +18 more
TL;DR: The steps taken to provide better guidance on structuring complex ODDs and an ODD summary for inclusion in a journal article are documented and the need for standard descriptions of simulation experiments is advocated.
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Global warming threatens the persistence of Mediterranean brown trout
TL;DR: In this paper, the authors examined how temperature variations due to current and future climate change are likely to affect populations' persistence of stream-dwelling brown trout Salmo trutta at the vulnerable southern periphery of its range.
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Next-Generation Individual-Based Models Integrate Biodiversity and Ecosystems: Yes We Can, and Yes We Must
TL;DR: It is argued that full integration requires going deeper by taking into account individual organisms and the evolutionary and physico-chemical principles that drive their behavior, and next-generation ecosystem scientists should include the individual-based approach in their toolkit and focus on addressing real systems.
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Ontogenetic and spatial variations in brown trout habitat selection
TL;DR: The results indicate that brown trout is a habitat generalist and suggest that spatial variations in habitat selection patterns are driven by physical and environmental factors operating at multiple spatial scales.
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Interactive effects of cover and hydraulics on brown trout habitat selection patterns
TL;DR: Results suggest that interactions between water depth and current velocity have a significant effect on habitat selection patterns in juvenile and adult brown trout, this effect being controlled by cover availability.