Modèles empiriques de la production annuelle et du rapport <i>P</i>/<i>B</i> d'invertébrés benthiques d'eau courante

Morin, Antoine; Bourassa, Nathalie

doi:10.1139/f92-063

Cited by 77 publications

(48 citation statements)

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“…where i = number of size classes; d j = mean density in size class j (individuals m )2 ); w j = mean individual weight in size class j (mg AFDW ); and CPI = cohort production interval (mo); and the multiple regression equation of Morin and Bourassa (1992) …”

Section: Discussionmentioning

confidence: 99%

“…B with average size are negative (Schwinghamer et al 1986;Morin and Bourassa 1992). The eect of the demographic structure in production and P:…”

Section: Production Production and Pmentioning

confidence: 99%

“…B ratio may occur in relation to water temperature and size (Schwinghamer et al 1986;Morin and Bourassa 1992). Gratto et al (1983) ascribed the dierence in the production and P:…”

Section: Production Production and Pmentioning

confidence: 99%

“…Morin and Bourassa (1992) found that production is directly proportional to the mean annual biomass, while the P:…”

Section: Production Production and Pmentioning

confidence: 99%

See 3 more Smart Citations

The amphipod Corophium multisetosum (Corophiidae) in Ria de Aveiro (NW Portugal). II. Abundance, biomass and production

Cunha¹,

Moreira²,

Sorbe

2000

Marine Biology

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The abundance and biomass of Corophium multisetosum Stock, 1952 were determined from benthic corer samples collected monthly over 1 yr in the upper reaches of Canal de Mira (Ria de Aveiro, Portugal). Both density and biomass over the sampling period were negatively correlated with water temperature and positively correlated with chlorophyll a concentration in the sediment. C. multisetosum density was signi®cantly negatively correlated with plant biomass and positively correlated with salinity. The nature of the sediment, favourable environmental conditions, high availability of food and low interspeci®c competition allowed the population to reach a maximal density of 200´10 3 individuals m )2 and a maximal biomass (ash-free dry wt, AFDW) of 62 g AFDW m )2 . The population was highly productive, especially during the autumn/winter period. Production, estimated by two dierent methods (Hynes method: 251 g AFDW m )2 yr )1

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Section: Discussionmentioning

confidence: 99%

“…B with average size are negative (Schwinghamer et al 1986;Morin and Bourassa 1992). The eect of the demographic structure in production and P:…”

Section: Production Production and Pmentioning

confidence: 99%

“…B ratio may occur in relation to water temperature and size (Schwinghamer et al 1986;Morin and Bourassa 1992). Gratto et al (1983) ascribed the dierence in the production and P:…”

Section: Production Production and Pmentioning

confidence: 99%

“…Morin and Bourassa (1992) found that production is directly proportional to the mean annual biomass, while the P:…”

Section: Production Production and Pmentioning

confidence: 99%

See 2 more Smart Citations

The amphipod Corophium multisetosum (Corophiidae) in Ria de Aveiro (NW Portugal). II. Abundance, biomass and production

Cunha¹,

Moreira²,

Sorbe

2000

Marine Biology

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“…II sera préférable d'utiliser les densités relatives, dont les variations sont toujours significatives, et qui traduisent l'influence globale, minimale mais certaine, des paramètres morphodynamiques sur les invertébrés. Lutilisation conjointe des densités et biomasses permettrait aussi d'évaluer une productivité potentielle des différents habitats en tenant compte de la biomasse individuelle moyenne des organismes des principaux groupes faunistiques (MORIN et BOURASSA, 1992). Ceci conduirait à une meilleure estimation des zones de production de nourriture pour le poisson.…”

Section: Discussionunclassified

Réponses globales des invertébrés benthiques aux conditions d'habitat physique dans des cours d'eau salmonicoles : perspectives d'intégration dans des modèles habitat/poissons

Wasson¹,

Bonnard²,

Maridet³

1995

Bull. Fr. Pêche Piscic.

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RÉSUMÉDes mesures de densité et biomasse globale provenant de 371 prélèvements répartis sur 28 sites de référence permettent d'exprimer en valeurs absolues et relatives la répartition des invertébrés en fonction des paramètres substrat, vitesse et profondeur. Les résultats diffèrent sensiblement des données existantes et permettent d'envisager la construction de courbes de préférence adaptées à une large gamme de rivières salmonicoles. GLOBAL INFLUENCE OF PHYSICAL HABITAT PARAMETERS ON BENTHIC INVERTEBRATES IN TROUT STREAMS : TOWARDS AN INTEGRATION INFISH/HABITAT MODELS. SUMMARYThe influence of physical habitat parameters on macro invertebrate densities and biomass was tested to further develop global suitability curves, in order to integrate foodproducing zones in fish/habitat models. The database contains 371 samples taken from 28 trout stream référence sites in France. Substrate diameter and structure significantly influenced densities and biomass. Values were lower on cobbles than on boulders, but sandy substrates did not differ from both. Velocity and depth significantly influenced density. Densities increased with velocity, but a minimum value occurred at 60-70 cm/s. Densities decreased with depth. Différences between observed patterns and existing curves are discussed.

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Seasonality in coastal macrobenthic biomass and its implications for estimating secondary production using empirical models

Saulnier

Brind’Amour

Tableau

et al. 2018

Limnology & Oceanography

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Macrobenthic secondary production is widely used to assess the trophic capacity, health, and functioning of marine and freshwater ecosystems. Annual production estimates are often calculated using empirical models and based on data collected during a single period of the year. Yet, many ecosystems show seasonal variations. Although ignoring seasonality may lead to biased and inaccurate estimates of annual secondary production, it has never been tested at the community level. Using time series of macrobenthic data collected seasonally at three temperate marine coastal soft-bottom sites, we assessed seasonal variations in biomass of macrobenthic invertebrates at both population and community levels. We then investigated how these seasonal variations affect the accuracy of annual benthic production when assessed using an empirical model and data from a single sampling event. Significant and consistent seasonal variations in biomass at the three study sites were highlighted. Macrobenthic biomass was significantly lower in late winter and higher in summer/early fall for 18 of the 30 populations analyzed and for all three communities studied. Seasonality led to inaccurate and often biased estimates of annual secondary production at the community level when based on data from a single sampling event. Bias varied by site and sampling period, but reached $ 50% if biomass was sampled at its annual minimum or maximum. Since monthly sampling is rarely possible, we suggest that ecologists account for uncertainty in annual production estimates caused by seasonality.

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Modèles empiriques de la production annuelle et du rapport P/B d'invertébrés benthiques d'eau courante

Cited by 77 publications

References 0 publications

The amphipod Corophium multisetosum (Corophiidae) in Ria de Aveiro (NW Portugal). II. Abundance, biomass and production

The amphipod Corophium multisetosum (Corophiidae) in Ria de Aveiro (NW Portugal). II. Abundance, biomass and production

Réponses globales des invertébrés benthiques aux conditions d'habitat physique dans des cours d'eau salmonicoles : perspectives d'intégration dans des modèles habitat/poissons

Seasonality in coastal macrobenthic biomass and its implications for estimating secondary production using empirical models

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