Influences of Experts' Personal Experiences in Fuzzy Logic Modeling of Atlantic Salmon Habitat.
The knowledge of scientific experts, which is regularly used in modeling, is acquired by training, education, and practical experiences that modify the experts' perceptions. Using a case study dealing with fish habitat modeling, we investigated the possible influences and potential biases impar...
Published in: | North American Journal of Fisheries Management |
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Online Access: | https://espace.inrs.ca/id/eprint/4371/ https://doi.org/10.1080/02755947.2014.996684 |
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ftinrsquebec:oai:espace.inrs.ca:4371 2023-05-15T15:31:34+02:00 Influences of Experts' Personal Experiences in Fuzzy Logic Modeling of Atlantic Salmon Habitat. Mocq, Julien St-Hilaire, André Cunjak, Richard A. 2015 https://espace.inrs.ca/id/eprint/4371/ https://doi.org/10.1080/02755947.2014.996684 unknown Mocq, Julien, St-Hilaire, André et Cunjak, Richard A. (2015). Influences of Experts' Personal Experiences in Fuzzy Logic Modeling of Atlantic Salmon Habitat. North American Journal of Fisheries Management , vol. 35 , nº 2. p. 271-280. DOI:10.1080/02755947.2014.996684 <https://doi.org/10.1080/02755947.2014.996684>. doi:10.1080/02755947.2014.996684 bootstrapping fuzzy mathematics geographical region perception salmonid spawning Article Évalué par les pairs 2015 ftinrsquebec https://doi.org/10.1080/02755947.2014.996684 2023-02-10T11:43:00Z The knowledge of scientific experts, which is regularly used in modeling, is acquired by training, education, and practical experiences that modify the experts' perceptions. Using a case study dealing with fish habitat modeling, we investigated the possible influences and potential biases imparted by some of these personal experiences. Thirty salmon experts with different backgrounds and nationalities defined fuzzy sets and fuzzy rules in a fuzzy habitat model of three Atlantic Salmon Salmo salar life stages. Weighted usable area (WUA) curves were calculated for each expert by coupling the fuzzy model with a hydraulic model applied to the Romaine River (Quebec, Canada). Experts were then split into subgroups, and three possible experiential biases were tested: the experts' main geographic region of expertise (Europe versus North America), their primary source of knowledge (fieldwork, scientific literature, or both), and their employment sector (public or private). A confidence interval was calculated around the median WUA curve for each subgroup by bootstrap resampling. A divergence in the confidence intervals (i.e., no overlap) indicated a significant influence of the tested experience. For all three considered life stages, we observed no significant impact of employment sector or knowledge source on modeled WUA. However, the experts' geographic region of expertise had a significant influence on the output of the spawning adult habitat model. Consequently, the use of local expert knowledge in modeling is recommended. Article in Journal/Newspaper Atlantic salmon Salmo salar Institut national de la recherche scientifique, Québec: Espace INRS Canada North American Journal of Fisheries Management 35 2 271 280 |
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Open Polar |
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Institut national de la recherche scientifique, Québec: Espace INRS |
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ftinrsquebec |
language |
unknown |
topic |
bootstrapping fuzzy mathematics geographical region perception salmonid spawning |
spellingShingle |
bootstrapping fuzzy mathematics geographical region perception salmonid spawning Mocq, Julien St-Hilaire, André Cunjak, Richard A. Influences of Experts' Personal Experiences in Fuzzy Logic Modeling of Atlantic Salmon Habitat. |
topic_facet |
bootstrapping fuzzy mathematics geographical region perception salmonid spawning |
description |
The knowledge of scientific experts, which is regularly used in modeling, is acquired by training, education, and practical experiences that modify the experts' perceptions. Using a case study dealing with fish habitat modeling, we investigated the possible influences and potential biases imparted by some of these personal experiences. Thirty salmon experts with different backgrounds and nationalities defined fuzzy sets and fuzzy rules in a fuzzy habitat model of three Atlantic Salmon Salmo salar life stages. Weighted usable area (WUA) curves were calculated for each expert by coupling the fuzzy model with a hydraulic model applied to the Romaine River (Quebec, Canada). Experts were then split into subgroups, and three possible experiential biases were tested: the experts' main geographic region of expertise (Europe versus North America), their primary source of knowledge (fieldwork, scientific literature, or both), and their employment sector (public or private). A confidence interval was calculated around the median WUA curve for each subgroup by bootstrap resampling. A divergence in the confidence intervals (i.e., no overlap) indicated a significant influence of the tested experience. For all three considered life stages, we observed no significant impact of employment sector or knowledge source on modeled WUA. However, the experts' geographic region of expertise had a significant influence on the output of the spawning adult habitat model. Consequently, the use of local expert knowledge in modeling is recommended. |
format |
Article in Journal/Newspaper |
author |
Mocq, Julien St-Hilaire, André Cunjak, Richard A. |
author_facet |
Mocq, Julien St-Hilaire, André Cunjak, Richard A. |
author_sort |
Mocq, Julien |
title |
Influences of Experts' Personal Experiences in Fuzzy Logic Modeling of Atlantic Salmon Habitat. |
title_short |
Influences of Experts' Personal Experiences in Fuzzy Logic Modeling of Atlantic Salmon Habitat. |
title_full |
Influences of Experts' Personal Experiences in Fuzzy Logic Modeling of Atlantic Salmon Habitat. |
title_fullStr |
Influences of Experts' Personal Experiences in Fuzzy Logic Modeling of Atlantic Salmon Habitat. |
title_full_unstemmed |
Influences of Experts' Personal Experiences in Fuzzy Logic Modeling of Atlantic Salmon Habitat. |
title_sort |
influences of experts' personal experiences in fuzzy logic modeling of atlantic salmon habitat. |
publishDate |
2015 |
url |
https://espace.inrs.ca/id/eprint/4371/ https://doi.org/10.1080/02755947.2014.996684 |
geographic |
Canada |
geographic_facet |
Canada |
genre |
Atlantic salmon Salmo salar |
genre_facet |
Atlantic salmon Salmo salar |
op_relation |
Mocq, Julien, St-Hilaire, André et Cunjak, Richard A. (2015). Influences of Experts' Personal Experiences in Fuzzy Logic Modeling of Atlantic Salmon Habitat. North American Journal of Fisheries Management , vol. 35 , nº 2. p. 271-280. DOI:10.1080/02755947.2014.996684 <https://doi.org/10.1080/02755947.2014.996684>. doi:10.1080/02755947.2014.996684 |
op_doi |
https://doi.org/10.1080/02755947.2014.996684 |
container_title |
North American Journal of Fisheries Management |
container_volume |
35 |
container_issue |
2 |
container_start_page |
271 |
op_container_end_page |
280 |
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1766362082184265728 |