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Enregistrement W4391611977 · doi:10.1002/fsh.11062

In Memoriam: Richard S. Brown

2024· article· en· W4391611977 sur OpenAlexaboutno aff
Steven J. Cooke, David R. Geist, Kate Deters, Geoffrey A. McMichael, Alison H. Colotelo, Lee J. Baumgartner, Luiz G. M. Silva, Geoff Power

Notice bibliographique

RevueFisheries · 2024
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueFish Ecology and Management Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésWildlifeGlobeFish <Actinopterygii>Power (physics)FisheryHistoryManagementEcologyPsychologyBiology

Résumé

récupéré en direct d'OpenAlex

Richard S. Brown August 12, 1966 – November 19, 2023 Richard (Rich) S. Brown was a dedicated father, husband, colleague, and friend to many. He was also an active member of our global fisheries profession (an AFS member since 1991), where he was a master of mentoring, collaboration, and tackling difficult research challenges to protect freshwater fisheries across the world. As a group of Rich's friends and colleagues from around the globe we reflect on Rich's professional contributions and share memories of our valued time together. Rich began his professional training at South Dakota State University in their fish and wildlife program, not far from the family farm where he grew up in Milbank, South Dakota. Like many of us, Rich got the “itch” for research and headed to the University of Alberta for his MS studies, where he worked with Bill Mackay. Unlike many of his colleagues who were fair weather biologists, Rich decided to study the winter biology of Cutthroat Trout Oncorhynchus clarkii in the Ram River (Brown and Mackay 1995), which launched a decade or more of work that cemented Rich as a luminary in winter biology. Rich then moved east to the University of Waterloo for his PhD with Geoff Power. There, he studied several fishes in the Elora Gorge in the Grand River, Ontario. Working in the winter forced one to be creative and that is where Rich excelled. He used rock climbing techniques to get safely down when needed and collected data using cameras set in the river to study fish and in trees to record river ice dynamics. He also pioneered the use of sensor tags for the study of winter biology to learn what fish were doing under the ice (Brown et al. 2000). In one study, he convinced an ice dynamics laboratory in New Hampshire to allow him to bring fish into their facility and studied the effects of supercooling on the physiology and behavior of salmonids (Brown et al. 1999). Working with ice engineers, he learned to appreciate the many ways in which ice and winter processes were relevant to fisheries professionals and shared that work with our community through a seminal paper (published in Fisheries) that has guided the next generation of winter biologists (Brown et al. 2011a). Rich (now Dr. Brown) headed west to begin a postdoctoral fellowship at the Pacific Northwest National Laboratory (PNNL) in Richland, Washington. His strong background in telemetry was a perfect addition to the team and he soon developed an independent research program and was hired as a staff scientist. In his early days at the PNNL, he worked on issues related to adult fish passage and energetics of migration in the Pacific Northwest (Brown et al. 2006). He also pushed the envelope on improving tagging practices and the study of juvenile fish migration (Brown et al. 2011b). He was also one of the first scientists in the Pacific Northwest to explore in detail how pressure changes experienced by juvenile salmonids migrating downstream through a hydropower dam's turbines affected their survival (Brown et al. 2012). These insights are being applied today in the design and installation of new turbines in the lower Snake River (Trumbo et al. 2013). While at the PNNL, Rich had the opportunity to bring his expertise to the international arena. Rich conducted work in Australia, the Lower Mekong River, and Brazil. In particular, his work on defining barotrauma associated with passage through hydropower turbines was globally relevant. In collaboration with Australian and Lower Mekong colleagues, that work was extended beyond hydropower into river infrastructure more generally (Brown et al. 2014) and to other species (Brown et al. 2013). Those two seminal papers have set a new paradigm for river infrastructure development and are being implemented on four different continents (i.e., Oceania, North America, Asia, and South America). Rich was pivotal for the development of a barotrauma laboratory in Brazil, which paved the way for training and capacity building of a new generation of barotrauma scientists in the country (Beirão et al. 2015). Following on from the success of that work, and working with colleague Daniel Deng (from the PNNL), he effectively set up Annexe 13 (Fish and Hydropower) as part of the International Energy Agency—and it led to the development of a global set of best practice hydropower guidelines launched in 2023 (Nielsen and Szabo-Meszaros 2022). Along the way, Rich was a mentor to many, helping others develop and apply their creativity to research problems. Rich was able to bring a team from the Mekong River to the AFS Annual Meeting in Tampa, Florida, which was a career highlight for several of the participants. Not only did he invite the participants to attend, he chaperoned them, and gave them the full Florida experience for the duration of their stay. Rich was also good at providing praise and making one feel good about their contributions, no matter how small. He was a huge supporter of his staff, always looking for opportunities for them to take on leadership positions, and international opportunities that were relevant to their own career development. He spent countless hours with his team pouring through data or outlining a manuscript on paper taped to the wall. Rich could have done it more efficiently himself, but saw the value in guiding others through the process. We were fortunate to work with Rich in many different capacities and learn and laugh with him. Work time often faded into time for socializing and vice versa and this allowed for extended brainstorming sessions. Rich was always thinking of new and exciting research ideas and some might have thought he was overly-committed to work. In fact, he was simply passionate about his research and answering complex questions, but Rich was deeply committed to his family. Rich enjoyed gardening, making dinner with his wife, Dianna, and teaching his sons Jacob and Cole all about tools and woodworking. He was a master at grilling steak, and he made delicious, home-cooked Thai curry with Thai basil from the garden. He spent his free time with his family, searching for agates and other interesting geological deposits and shooting targets, reminiscent of his time growing up in South Dakota. Rich Brown will be missed by many. We are fortunate that his memories and scientific legacy will live on.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,699
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0120,002

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,009
Tête enseignante GPT0,212
Écart entre enseignants0,203 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

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