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Effects of body weight and temperature on the metabolic rate of Hyalella curvispina Shoemaker, 1942 (Amphipoda)

2009· article· en· W1495958105 on OpenAlexfundno aff
Doyle, Fernando Momo

Bibliographic record

VenueCrustaceana · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicPhysiological and biochemical adaptations
Canadian institutionsnot available
FundersMcGill University
KeywordsMetabolic rateAllometryBody weightScalingDry weightAnimal scienceBiologyEcologyChemistryZoologyEndocrinologyMathematicsBotany

Abstract

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[Hyalella curvispina Shoemaker, 1942 has a broad distribution across freshwater habitats of southern South America, where it can reach very high densities. This species plays an important role in food webs, linking a main portion of primary production with higher order consumers. In this work we provide the first data on the metabolic rate of H. curvispina and determine how it is affected by environmental temperature and individual body weight. Additionally, we present a predictive equation that allows the estimation of standard metabolic rate from temperature and body weight. The mean standard metabolic rate of juveniles of both sexes and adult males of H. curvispina was measured for a wide range of body weights (0.07 to 2.90 mg dry weight) at four temperatures (11.5, 18, 24, and 30°C), covering the thermal range of its natural habitat.Metabolic rate showed an allometric scaling with body weight. Scaling exponents were significantly less than 1, having a mean value of 0.66 ± 0.032. There was an interaction between body weight and temperature, thus scaling exponents varied with temperature, from 0.51 at 24°C to 0.78 at 30°C. An increase in temperature over the range 11.5-24°C produced a raise in metabolic rate irrespective of body weight; between 24 and 30°C, however, response to temperature varied with body weight.The metabolic rate of H. curvispina is similar to that in the two other species of Hyalella for which published data are available. Scaling of metabolic rate with body weight is similar to commonly reported results for other species, as well as to what is expected from theoretical considerations. The predictive equation presented in this work provides a means to estimate the standard metabolic rate of H. curvispina in further studies from temperature and body weight data. Hyalella curvispina Shoemaker, 1942 tiene una amplia distribucion a traves de los ambientes dulceacuicolas en la zona austral de America del Sur, donde puede alcanzar altas densidades poblacionales. Esta especie juega un papel destacado en las redes troficas, al transferir una porcion importante de la produccion primaria a niveles troficos superiores. En este trabajo se presentan los primeros datos sobre la tasa metabolica de H. curvispina y sobre como esta es afectada por el peso individual y la temperatura. Adicionalmente, se presenta una ecuacion predictiva que permite estimar la tasa metabolica estandar a partir de la temperatura y el peso seco. La tasa metabolica estandar media de grupos de individuos juveniles de ambos sexos y machos adultos de H. curvispina se determino para un amplio rango de pesos (0,07 a 2,90 mg de peso seco) a cuatro temperaturas (11,5, 18, 24 y 30°C), cubriendo el rango termico del habitat natural de esta especie.La tasa metabolica mostro una relacion alometrica con el peso individual, con exponentes significativamente menores a 1 y con una media de 0,66 ± 0,032. Existio una interaccion entre el peso y la temperatura, por lo que los exponentes variaron con la temperatura entre 0,51 a 24°C y 0,78 at 30°C. Un aumento en la temperatura entre los 11,5-24°C produjo un aumento en la tasa metabolica independientemente del peso, mientras que entre los 24 y 30°C la respuesta a la temperatura vario con el peso.La tasa metabolica de H. curvispina encontrada en este trabajo resulta similar a la de las otras especies de Hyalella para la que existen datos publicados. La relacion hallada entre tasa metabolica y tamano corporal es similar a la comunmente encontrada en otras especies asi como a la esperada en base a consideraciones teoricas. La ecuacion predictiva presentada en este trabajo permitira la estimacion de la tasa metabolica estandar de H. curvispina en futuros estudios a partir de datos sobre temperatura y peso individual., Hyalella curvispina Shoemaker, 1942 has a broad distribution across freshwater habitats of southern South America, where it can reach very high densities. This species plays an important role in food webs, linking a main portion of primary production with higher order consumers. In this work we provide the first data on the metabolic rate of H. curvispina and determine how it is affected by environmental temperature and individual body weight. Additionally, we present a predictive equation that allows the estimation of standard metabolic rate from temperature and body weight. The mean standard metabolic rate of juveniles of both sexes and adult males of H. curvispina was measured for a wide range of body weights (0.07 to 2.90 mg dry weight) at four temperatures (11.5, 18, 24, and 30°C), covering the thermal range of its natural habitat.Metabolic rate showed an allometric scaling with body weight. Scaling exponents were significantly less than 1, having a mean value of 0.66 ± 0.032. There was an interaction between body weight and temperature, thus scaling exponents varied with temperature, from 0.51 at 24°C to 0.78 at 30°C. An increase in temperature over the range 11.5-24°C produced a raise in metabolic rate irrespective of body weight; between 24 and 30°C, however, response to temperature varied with body weight.The metabolic rate of H. curvispina is similar to that in the two other species of Hyalella for which published data are available. Scaling of metabolic rate with body weight is similar to commonly reported results for other species, as well as to what is expected from theoretical considerations. The predictive equation presented in this work provides a means to estimate the standard metabolic rate of H. curvispina in further studies from temperature and body weight data. Hyalella curvispina Shoemaker, 1942 tiene una amplia distribucion a traves de los ambientes dulceacuicolas en la zona austral de America del Sur, donde puede alcanzar altas densidades poblacionales. Esta especie juega un papel destacado en las redes troficas, al transferir una porcion importante de la produccion primaria a niveles troficos superiores. En este trabajo se presentan los primeros datos sobre la tasa metabolica de H. curvispina y sobre como esta es afectada por el peso individual y la temperatura. Adicionalmente, se presenta una ecuacion predictiva que permite estimar la tasa metabolica estandar a partir de la temperatura y el peso seco. La tasa metabolica estandar media de grupos de individuos juveniles de ambos sexos y machos adultos de H. curvispina se determino para un amplio rango de pesos (0,07 a 2,90 mg de peso seco) a cuatro temperaturas (11,5, 18, 24 y 30°C), cubriendo el rango termico del habitat natural de esta especie.La tasa metabolica mostro una relacion alometrica con el peso individual, con exponentes significativamente menores a 1 y con una media de 0,66 ± 0,032. Existio una interaccion entre el peso y la temperatura, por lo que los exponentes variaron con la temperatura entre 0,51 a 24°C y 0,78 at 30°C. Un aumento en la temperatura entre los 11,5-24°C produjo un aumento en la tasa metabolica independientemente del peso, mientras que entre los 24 y 30°C la respuesta a la temperatura vario con el peso.La tasa metabolica de H. curvispina encontrada en este trabajo resulta similar a la de las otras especies de Hyalella para la que existen datos publicados. La relacion hallada entre tasa metabolica y tamano corporal es similar a la comunmente encontrada en otras especies asi como a la esperada en base a consideraciones teoricas. La ecuacion predictiva presentada en este trabajo permitira la estimacion de la tasa metabolica estandar de H. curvispina en futuros estudios a partir de datos sobre temperatura y peso individual.]

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.205
Teacher spread0.198 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations14
Published2009
Admission routes1
Has abstractyes

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