An Empirical Model For Estimating Aquatic Invertebrate 2020
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Summary.Artificial neural networks were trained to estimate mass specific respiration of aquatic metazoans from 28 parameters: temperature, water depth, 19 taxon categories, body mass and 6 lifestyle parameters. The data base includes 22 920 data sets referring to 915 taxa 836 identified to species, 67 to genus. straints. The alternative is the use of empirical models that relaterespirationratetobodymass,toenvironmentalparame-ters temperature, water depth and sometimes to other, life-style-related parameters. Regrettably, most published models referring to aquatic invertebrates are based on rather small.

Mar 01, 2010 · Artificial neural networks were trained to estimate mass specific respiration of aquatic metazoans from 28 parameters: temperature, water depth, 19 taxon categories, body mass and 6 lifestyle parameters. The good model fit r 2 = 0.780 is confirmed by an acceptable residual variance, that is narrower than in a previous aquatic invertebrate respiration ANN in which Euphausiids represented only 3%. An empirical model for estimating aquatic invertebrate respiration By Thomas Brey Get PDF 79 KB. Physiological data indicate that a 3-compartment model appropriately represents ingestion, assim-ilation, and accumulation of somatic and reproductive tissue by an aquatic invertebrate predator. A secondary production model calibrated to growth and respiration data is used to constrain the model equations.

We compiled data for 23 North American temperate zone lakes to assess three alternative winter O 2 depletion models for estimating O 2 dynamics from freezing to thawing. Dissolved O 2 concentrations were constant or declined slightly for an average of 40 days after freezing and then declined rapidly. Once O 2 concentrations reached 1 3 mg·L 1, consumption slowed. We evaluated the generality of the relationship between invertebrate ED and proportion of dry-to-wet mass pDM. We then developed and tested a regression model to predict ED from pDM based on a taxonomically, spatially, and temporally diverse sample of invertebrates representing 28 orders in aquatic freshwater, estuarine, and marine and terrestrial temperate and arid habitats from 4. energy density.—We used an empirical linear model. T ABLE 1.—General information on the 37 taxa analyzed in this study of the energy density of Patagonian aquatic organisms. 24 classical methods and empirical models to estimate secondary production and provide several 25 applications of production studies to current stresses affecting aquatic ecosystems, such as 26 climate change, pollution and the introduction of non-indigenous invasive species. Apr 17, 2011 · Brey T 2010 An empirical model for estimating aquatic invertebrate respiration. Method Ecol Evol 1:92–101 CrossRef Google Scholar Brittain J, Hakanson L, Gallego E 2000 Target ecosystems, key fish species, dose to biota and the impact and feasibility of.

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