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Record W2516473234 · doi:10.1080/03632415.2016.1207632

Understanding and Managing Social–Ecological Feedbacks in Spatially Structured Recreational Fisheries: The Overlooked Behavioral Dimension

2016· article· en· W2516473234 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueFisheries · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsUniversity of CalgaryMinistry of Natural Resources and ForestryMinistry of Forests
FundersNatural Sciences and Engineering Research Council of CanadaFreshwater Fisheries Society of British Columbia
KeywordsRecreationOverfishingFisheries managementFisheryScale (ratio)Environmental resource managementFishingSustainabilityRecreational fishingFisheries lawGeographyEcologyEnvironmental planningEnvironmental scienceBiology

Abstract

fetched live from OpenAlex

Abstract Recreational fisheries are empirically tractable examples of social–ecological systems (SESs) that are characterized by complex interactions and feedbacks ranging from local to regional scales. The feedbacks among the three key compartments of the recreational fisheries SES—individual fish and populations, regionally mobile anglers, and regional and state-level fisheries managers—are strongly driven by behavior, but they are poorly understood. We review and identify factors, antecedents to behaviors, and behaviors most important to the outcomes of the coupled SES of recreational fisheries, which emerge from a range of social–ecological interactions. Using this information, we identify data gaps, suggest how to reduce uncertainty, and improve management advice for recreational fisheries focusing on open-access situations in inland fisheries. We argue that the seemingly micro-scale and local feedbacks between individual fish, fish populations, anglers, and managers lead to the emergence of important macro-scale patterns—some of which may be undesirable, such as regional overfishing. Hence, understanding the scale at which the behavior-mediated mechanisms and processes identified in this article operate is critical for managing for the sustainability of spatially structured recreational fisheries. We conclude our study by providing relevant research stimuli for the future. Las pesquerías recreativas son ejemplos de sistemas socio-ecológicos (SSE) maleables que se caracterizan por poseer interacciones complejas y procesos de retroalimentación que van desde la escala local a la regional. La retroalimentación entre los tres compartimentos principales de los SSE—peces como individuos y poblaciones, pescadores que se mueven en un región determinada y manejadores de pesquerías a nivel estatal—es gobernada por un componente conductual, sin embargo esto no ha sido bien estudiado. Aquí se revisan e identifican los factores, antecedentes del comportamiento y los propios comportamientos más relevantes con respecto al acoplamiento de los SSE en pesquerías recreativas; factores emergen a partir de distintas interacciones socio-ecológicas. Mediante esta información, se identifican huecos de información, se sugiere cómo reducir la incertidumbre y se mejora la asesoría para el manejo de pesquerías recreativas, particularmente en pesquerías continentales de acceso abierto. Se argumenta que la aparente microescala y retroalimentación local entre peces, poblaciones, pescadores y manejadores, dan como resultado importantes patrones de macroescala -algunos de los cuales son indeseables, como la sobrepesca. Por consiguiente, comprender la escala en la cual operan los mecanismos y procesos que controlan el comportamiento identificados en esta contribución, es un aspecto clave para el manejo de la sustentabilidad de las pesquerías recreativas que están espacialmente estructuradas. Se concluye el estudio presentando estímulos para la investigación futura que es relevante en este campo. La pêche récréative est un exemple de systèmes socio écologiques (SES) qu'il est possible d'exploiter, qui se caractérisent par des interactions et rétroactions complexes allant de l'échelle locale à l'échelle régionale. Les commentaires entre les trois compartiments clés des SES—des différents poissons et des populations, des pêcheurs régionalement mobiles, et des gestionnaires de pêcheries régionales et nationales—sont fortement influencés par les comportements, mais souvent mal compris. Nous passons en revue et identifions les facteurs, antécédents de comportements, et les comportements les plus importants pour les résultats des SES associés de la pêche récréative, émergeant à partir d'une gamme d'interactions socio écologiques. Partant de ces informations, nous identifions les lacunes dans les données, suggérons la façon de réduire l'incertitude, et d'améliorer les conseils de gestion pour la pêche récréative axée sur des situations d'accès libre à la pêche continentale. Nous soutenons que les évaluations apparemment à micro-échelle et locales entre les différents poissons, les populations de poissons, les pêcheurs et les gestionnaires conduisent à l'émergence d'importants modèles à macro-échelle—dont certains peuvent être indésirables, tels que la surpêche régionale. Par conséquent, la compréhension de l'échelle à laquelle les mécanismes et les processus activés par les comportements identifiés dans le présent document opèrent est essentielle pour la gestion de la durabilité de la pêche récréative spatialement structurée. Nous concluons notre étude en fournissant des stimuli de recherche pertinents pour l'avenir.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.048
GPT teacher head0.239
Teacher spread0.191 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it