Analysis of Discrete Models for Ecosystem Ecology
| Autor: | Cinzia Di Giusto, Cédric Gaucherel, Franck Pommereau, Hanna Klaudel |
|---|---|
| Přispěvatelé: | Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), Informatique, BioInformatique, Systèmes Complexes (IBISC), Université d'Évry-Val-d'Essonne (UEVE), Ana Roque, Arkadiusz Tomczyk, Elisabetta De Maria, Felix Putze, Roman Moucek, Ana Fred, Hugo Gamboa, Université Nice Sophia Antipolis (... - 2019) (UNS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) |
| Rok vydání: | 2020 |
| Předmět: |
Optimization algorithm
Computer science Ecosystem models [INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO] 0102 computer and information sciences 02 engineering and technology 15. Life on land computer.software_genre 01 natural sciences Measure (mathematics) Similarity rate Set (abstract data type) Similarity (network science) 010201 computation theory & mathematics 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Ecosystem Data mining Pattern matching Rewriting systems Ecosystem ecology computer |
| Zdroj: | Biomedical Engineering Systems and Technologies ISBN: 9783030469696 BIOSTEC (Selected Papers) Biomedical Engineering Systems and Technologies, BIOSTEC 2019, Prague, Czech Republic, February 22–24, 2019 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019), Ana Roque; Arkadiusz Tomczyk; Elisabetta De Maria; Felix Putze; Roman Moucek; Ana Fred; Hugo Gamboa, Feb 2019, Prague, Czech Republic. pp.242--264, ⟨10.1007/978-3-030-46970-2_12⟩ |
| DOI: | 10.1007/978-3-030-46970-2_12 |
| Popis: | International audience; We consider discrete qualitative models of ecosystems viewed as collections of interacting living (animals, plants..) and nonliving entities (air, water, soil..), whose conditions of appearance/disappearance are controlled by a set of formal rules (i.e., processes). We present here two methods to statically analyze models. The first one is used to simplify models removing redundant information. The second one is a rule-based method allowing to compare ecosystems. This method relies on a measure of similarity and on an optimization algorithm. In addition, the proposed method allows detecting patterns (i.e., ecological processes or sets of processes) in ecosystems. We have validated the method by applying it against a set of models and patterns provided by research projects of ecologists. |
| Databáze: | OpenAIRE |
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