Fish growth and degree-days I: selecting a base temperature for a within-population study

Chezik, Kyle A.; Lester, Nigel P.; Venturelli, Paul A.

doi:10.1139/cjfas-2013-0295

Cited by 140 publications

(148 citation statements)

References 71 publications

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“…We incorporated a number of different variables related to lake thermal characteristics, including water temperature degree-days (DD 5 ; base temperature 5°C, a measure of cumulative annual thermal energy; Chezik et al 2014), various measures of optimal thermal habitat for different life stages, and measures of suboptimal or lethal temperature conditions (Table 1). All thermal habitat characteristics were calculated from daily water temperature profiles generated for each lake using a mechanistic simulation model as described in Read et al (2014).…”

Section: Predictor Datamentioning

confidence: 99%

Predicting walleye recruitment as a tool for prioritizing management actions

Hansen

Carpenter

Gaeta

et al. 2015

Can. J. Fish. Aquat. Sci.

155

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Abstract:We classified walleye (Sander vitreus) recruitment with 81% accuracy (recruitment success and failure predicted correctly in 84% and 78% of lake-years, respectively) using a random forest model. Models were constructed using 2779 surveys collected from 541 Wisconsin lakes between 1989 and 2013 and predictor variables related to lake morphometry, thermal habitat, land use, and fishing pressure. We selected predictors to minimize collinearity while maximizing classification accuracy and data availability. The final model classified recruitment success based on lake surface area, water temperature degree-days, shoreline development factor, and conductivity. On average, recruitment was most likely in lakes larger than 225 ha. Low degree-days also increased the probability of successful recruitment, but primarily in lakes smaller than 150 ha. We forecasted the probability of walleye recruitment in 343 lakes considered for walleye stocking; lakes with high probability of natural reproduction but recent history of recruitment failure were prioritized for restoration stocking. Our results highlight the utility of models designed to predict recruitment for guiding management decisions, provided models are validated appropriately.Résumé : Un modèle de forêt aléatoire pour la catégorisation du recrutement de dorés jaunes (Sander vitreus) s'est avéré exact dans 81 % des cas (prédiction correcte du succès ou de l'échec du recrutement pour 84 % et 78 % des années-lac, respectivement). Des modèles ont été élaborés à partir de 2779 évaluations obtenues pour 541 lacs du Wisconsin de 1989 à 2013, et de variables prédictives reliées à la morphométrie des lacs, à l'habitat thermique, à l'utilisation du sol et à la pression de pêche. Nous avons sélectionné les variables prédictives de manière à minimiser la colinéarité tout en maximisant l'exactitude de la catégorisation et la disponibilité des données. Le modèle final catégorisait le succès de recrutement en fonction de la superficie du lac, des degrés-jours de température du lac, d'un facteur d'aménagement des berges et de la conductivité. En moyenne, le recrutement était plus probable dans les lacs de plus de 225 ha. De faibles degrés-jours se traduisaient également par une probabilité accrue de succès du recrutement, mais principalement dans les lacs de moins de 150 ha. Nous avons prédit la probabilité de recrutement de dorés jaunes dans 343 lacs considérés comme candidats pour l'ensemencement de dorés; la priorité en ce qui concerne l'ensemencement aux fins de rétablissement a été donnée aux lacs présentant une forte probabilité de reproduction naturelle, mais un historique récent d'échec du recrutement. Nos résultats soulignent l'utilité de modèles conçus pour prédire le recrutement pour ce qui est d'orienter les décisions de gestion, pourvu que ces modèles soient validés adéquatement. [Traduit par la Rédaction]

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Section: Predictor Datamentioning

confidence: 99%

Predicting walleye recruitment as a tool for prioritizing management actions

Hansen

Carpenter

Gaeta

et al. 2015

Can. J. Fish. Aquat. Sci.

155

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“…e ADD 5 estimated using eq. 5 in Chezik et al (2014) but beyond the T o limit for conversion to T 5 .…”

Section: A Simple Thought Experimentsmentioning

confidence: 99%

“…This work is a companion to Chezik et al (2014), which describes how DDs vary with T o and how this variation affects the ability of DDs to account for growth within a single population. Here we explore how the relationship between DDs and T o varies among populations in different climates and determine how this variation affects differences in temperature-corrected growth.…”

Section: Introductionmentioning

confidence: 99%

Fish growth and degree-days II: selecting a base temperature for an among-population study

Chezik

Lester

Venturelli

2014

Can. J. Fish. Aquat. Sci.

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The degree-day (DD) is a method of describing the thermal opportunity for growth and development and is becoming increasingly popular when comparing fish growth over large spatial scales (e.g., counter-gradient growth). Temperatures too cold to permit growth are excluded in the DD equation by incorporating a lower temperature threshold (T o ). However, there is no convention for choosing T o , and unknown is the effect of an incorrect T o on how growth is perceived. We simulate data to demonstrate how an incorrect T o may lead to differences in temperature-corrected growth rates among populations. These differences increase with the error in T o and the thermal range among simulated populations. We then show the same relationships in an analysis of length-at-age data from 81 walleye (Sander vitreus) populations in North America. Together, our results demonstrate that differences in temperature-corrected growth rates among populations can be a statistical artifact rather than a biological phenomenon, especially when populations are distributed over a large thermal gradient. Résumé :La méthode des degrés-jour (DJ), utilisée pour décrire les possibilités de croissance et de développement selon la température, est de plus en plus employée pour comparer la croissance des poissons sur de grandes étendues (p. ex. croissance à contre-gradient). Les températures trop basses pour permettre la croissance sont exclues de l'équation des DJ en incorporant un seuil de température minimum (T o ). Il n'existe toutefois aucune convention sur le choix de la valeur de T o , et l'effet d'une T o incorrecte sur la perception de la croissance est inconnu. Nous simulons des données afin de démontrer comment une T o incorrecte peut mener à des différences entre populations sur le plan des taux de croissance corrigés pour la température. Plus l'erreur associée à T o et la fourchette de températures pour les populations simulées sont grandes, plus ces différences sont importantes. Nous démontrons ensuite l'existence des mêmes relations dans une analyse de données de longueur selon l'âge pour 81 populations de dorés jaunes (Sander vitreus) en Amérique du Nord. Collectivement, nos résultats démontrent que des différences entre populations sur le plan des taux de croissance corrigés pour la température peuvent être des artefacts statistiques plutôt que le produit d'un phénomène biologique, particulièrement dans le cas de populations réparties le long d'un important gradient thermique. [Traduit par la Rédaction]

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“…114 Countless organisms exhibit this type of development, and it is often used as a predictive indicator by scientists from botanists to bacteriologists to zoologists. 16,48,54,99,151 The process of decomposition itself is highly dependent on degree day accumulation. 97 One method to apply this temperature dependency is to calculate the accumulated degree hours (or accumulated degree days) necessary for insects to reach the observed developmental stage.…”

Section: Methods To Determine the Time Of Colonizationmentioning

confidence: 99%

Forensic Entomology in Animal Cruelty Cases

Brundage

Byrd

2016

Vet Pathol

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Forensic entomology can be useful to the veterinary professional in cases of animal cruelty. A main application of forensic entomology is to determine the minimum postmortem interval by estimating the time of insect colonization, based on knowledge of the rate of development of pioneer colonizers and on insect species succession during decomposition of animal remains. Since insect development is temperature dependent, these estimates require documentation of the environmental conditions, including ambient temperature. It can also aid in the detection and recognition of wounds, as well as estimate the timing of periods of neglect. Knowledge of the geographic distribution of insects that colonize animal remains may suggest that there has been movement or concealment of the carcass or can create associations between a suspect, a victim, and a crime scene. In some instances, it can aid in the detection of drugs or toxins within decomposed or skeletonized remains. During animal cruelty investigations, it may become the responsibility of the veterinary professional to document and collect entomological evidence from live animals or during the necropsy. The applications of forensic entomology are discussed. A protocol is described for documenting and collecting entomological evidence at the scene and during the necropsy, with additional emphasis on recording geographic location, meteorological data, and collection and preservation of insect specimens.Keywords forensic entomology, postmortem interval estimation, forensic pathology, insects, insect succession Forensic entomology, or the application of arthropod science to legal matters, has steadily increased its prominence within the forensic sciences. 5,28,41,46,77 While this definition allows for a broad interpretation of the scope of this science, forensic entomology is most commonly associated with use in death investigations.Although entomology has been used at crime scenes for centuries, research in recent decades has resulted in a significant advance of forensic entomological knowledge. 8,26,150 As a result, it is now commonly known that insect and arthropod evidence can assist in estimation of the postmortem interval (PMI) by the time of insect colonization on remains. 4,9,40,41,46,53 It can also aid in the detection and recognition of wounds, serve as indicators of perimortem and postmortem treatment of remains, and demonstrate neglect in both humans and animals 7,26,27 (Fig. 1). Arthropods may also be used to create associations between a suspect, a victim, and a crime scene. In some instances, it can aid in the detection of drugs or toxins within decomposed or skeletonized remains. 43,73 Recent research has even focused on the analysis of insect gut contents to determine the species on which fly larvae had fed. 43,87 These uses have made forensic entomology an invaluable tool for the death investigator.While the bulk of forensic entomological applications has been in human death investigations, recent years have seen an increase in forensic entomology...

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Fish growth and degree-days I: selecting a base temperature for a within-population study

Cited by 140 publications

References 71 publications

Predicting walleye recruitment as a tool for prioritizing management actions

Predicting walleye recruitment as a tool for prioritizing management actions

Fish growth and degree-days II: selecting a base temperature for an among-population study

Forensic Entomology in Animal Cruelty Cases

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