A toolbox to evaluate data reliability for whole-ecosystem models: Application on the Bay of Biscay continental shelf food-web model

Lassalle, Géraldine; Bourdaud, Pierre; Saint-Béat, Blanche; Rochette, Sébastien; Niquil, Nathalie

doi:10.1016/j.ecolmodel.2014.04.002

Cited by 36 publications

(25 citation statements)

References 48 publications

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“…Several tools have been developed to quantitatively assess the quality of Ecopath models, such as for instance the pedigree index (Christensen and Walters, 2004) previously mentioned, or the "DataReli" toolbox (Lassalle et al, 2014) more recently proposed, but both are still rarely applied. Other interesting developments could consist of new measures that can help categorizing and ranking models in classes for particular uses.…”

Section: Challenges and Potentials Of Using Ecobasementioning

confidence: 99%

Global overview of the applications of the Ecopath with Ecosim modeling approach using the EcoBase models repository

Colléter¹,

Valls²,

Guitton³

et al. 2015

Ecological Modelling

233

103

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Section: Challenges and Potentials Of Using Ecobasementioning

confidence: 99%

Global overview of the applications of the Ecopath with Ecosim modeling approach using the EcoBase models repository

Colléter¹,

Valls²,

Guitton³

et al. 2015

Ecological Modelling

233

103

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“…The ENAtool routine was used to generate 1000 balanced ensemble members based on the uncertainty values assigned to each input parameter according to Pedigree scores (Table 1) (Lassalle et al, 2014); for this particular food web, the search for 1000 balanced ensemble members took between three and five days to run on a single-processor machine. For each ENA index listed in Table 2, the single value obtained with the EwE software was graphically compared to the 1000 values derived from the ENAtool routine as to whether it falls between the boxplot whiskers.…”

Section: The Bay Of Biscay Ecopath Ensemble and Ena Ensemblementioning

confidence: 99%

“…Different formulas for the same index exist in the scientific literature and correspond to different interpretations of the same idea. We demonstrate the use of this tool by applying it to a pre-existing Ecopath model of the Bay of Biscay continental shelf (Lassalle et al, 2011) for which data quality is already categorized using Pedigree scores (Lassalle et al, 2014). ENA indices distributions derived from the ENAtool routine are compared with previous point estimate values obtained with this Ecopath model to test for robustness of ENA-derived ecological conclusions.…”

Section: Introductionmentioning

confidence: 99%

Incorporating food-web parameter uncertainty into Ecopath-derived ecological network indicators

Guesnet

Lassalle

Chaalali

et al. 2015

Ecological Modelling

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International audienceEcological network analysis (ENA) provides numerous ecosystem level indices offering a valuable approach to compare and categorize the ecological structure and function of ecosystems. The inclusion of ENA methods in Ecopath with Ecosim (EwE) has insured their continued contribution to ecosystem-based management. In EwE, ENA-derived ecological conclusions are currently based on single values of ENA indices calculated from a unique input flow matrix. Here, we document an easy-to-use routine that allows EwE users to incorporate uncertainty in EwE input data into the calculation of ENA indices. This routine, named ENAtool, is a suite of Matlab functions that performs three main steps: (1) import of an existing Ecopath model and its associated parameter uncertainty values in the form of uncertainty intervals into Matlab; (2) generation of an ensemble of Ecopath models with the same structure as the original, and with parameter values varying based on the prescribed uncertainty limits; and (3) calculation of a set of 13 ENA indices for each ensemble member (one set of flow values) and of summary statistics across the whole ensemble. This novel routine offers the opportunity to calculate ENA indices ranges and confidence intervals, and thus to perform quantitative data analyses. An application of ENAtool on a pre-existing Ecopath model of the Bay of Biscay continental shelf is presented, with a focus on the robustness of previously published ENA-based ecological traits of this ecosystem when the newly introduced uncertainty values are added. We also describe the sensitivity of the ENAtool results to both the number of ensemble members used and to the uncertainty interval set around each input parameter. Ecological conclusions derived from EwE, particularly those regarding the comparison of structural and functional elements for a range of ecosystem types or the assessment of ecosystem properties along gradients of environmental conditions or anthropogenic disturbances, will gain in statistical interpretability

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“…New modeling approaches using mass-balanced models were also developed to identify ecosystem structure, function (including Ecological Network Analyses) and reaction to disturbance (Lassalle et al, 2013(Lassalle et al, , 2014aNiquil et al, 2014;Chaalali et al, 2015;Guesnet et al, 2015).…”

Section: Theory and New Approaches To Model Ecosystem Functionmentioning

confidence: 99%

Bridging the Gap between Policy and Science in Assessing the Health Status of Marine Ecosystems

et al. 2016

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A toolbox to evaluate data reliability for whole-ecosystem models: Application on the Bay of Biscay continental shelf food-web model

Cited by 36 publications

References 48 publications

Global overview of the applications of the Ecopath with Ecosim modeling approach using the EcoBase models repository

Global overview of the applications of the Ecopath with Ecosim modeling approach using the EcoBase models repository

Incorporating food-web parameter uncertainty into Ecopath-derived ecological network indicators

Bridging the Gap between Policy and Science in Assessing the Health Status of Marine Ecosystems

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