Species and habitats - Solea solea - Historical Nurseries - Preferential habitat modellised by Generalised Linear Modelling from YFS survey
Modelised historical abundances of Solea solea in the Seine estuary
Simple
- Title
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Species and habitats - Solea solea - Historical Nurseries - Preferential habitat modellised by Generalised Linear Modelling from YFS survey
- Alternate title
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YFS_species_model
- Date (Publication)
- 2009-12-31T10:57:00
- Citation identifier
- CHARMIII_SOLESOL_SEINE_PRESENCE_1834
- Other citation details
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Source CHARM Consortium
- Abstract
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Modelised historical abundances of Solea solea in the Seine estuary
- Credit
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IFREMER / CEFAS, CHARM consortium
- Status
- Completed
- Point of contact
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Organisation name Individual name Electronic mail address Role Ifremer
Sandrine Vaz
Production Unit Center for Environment, Fisheries & Aquaculture Science
Steve Mackinson
Production Unit CHARM Consortium
CHARM Consortium
Production center
- Maintenance and update frequency
- As needed
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Thèmes Sextant
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/Biological Environment/Species/Fish Species of Commercial Interest
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- Discipline
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Sub-category
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nom variable FR
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- Theme
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Oceanographic geographical features
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GEMET - INSPIRE themes, version 1.0
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Habitats et biotopes
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- Use limitation
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research-only
- Access constraints
- Other restrictions
- Use constraints
- License
- Other legal constraints
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Has to be cited this way in maps : "Source CHARM Consortium"
- Other legal constraints
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Has to be cited this way in bibliography : "Rochette, S., Rivot, E., Morin, J., Mackinson, S., Riou, P., Le Pape, O. (2010). Effect of nursery habitat degradation on flatfish population renewal. Application to Solea solea in the Eastern Channel (Western Europe). Journal of sea Research, Volume 64, p34-44. doi: 10.1016/j.seares.2009.08.003 , Open Access version : http://archimer.ifremer.fr/doc/00008/11921/.”
- Spatial representation type
- Grid
- Denominator
- 2500
- Language
- English
- Language
- Français
- Character set
- UTF8
- Topic category
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- Oceans
- Biota
- Environment
- Environment description
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Microsoft Windows XP ; ESRI ArcGIS 9.x
- Geographic identifier
- Dover Strait and river Thames mouth
- Begin date
- 1977-01-01T11:08:00
- End date
- 2006-12-31T11:08:00
- Reference system identifier
- WGS 84 (EPSG:4326)
- Number of dimensions
- 0
- Cell geometry
- Area
- Transformation parameter availability
Distributor
- Distributor contact
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Organisation name Individual name Electronic mail address Role Ifremer - Centre de Brest
- Distributor format
-
Name Version
- OnLine resource
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Protocol Linkage Name WWW:LINK
http://wwz.ifremer.fr/charm/ Charm web site
OGC:WMS
https://sextant.ifremer.fr/services/wms/wms_charm3 CHARMIII_SOLESOL_SEINE_PRESENCE_1834
OGC:WMS
https://sextant.ifremer.fr/services/wms/wms_charm3 CHARMIII_SOLESOL_SEINE_DENSITY_1834
OGC:WMS
https://sextant.ifremer.fr/services/wms/wms_charm3 CHARMIII_SOLESOL_SEINE_LOGPOSIT_1834
FILE
CHARMIII_SOLESOL_SEINE_PRESENCE_1834
FILE
CHARMIII_SOLESOL_SEINE_DENSITY_1834
FILE
CHARMIII_SOLESOL_SEINE_LOGPOSIT_1834
- Hierarchy level
- Dataset
Conformance result
- Title
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INSPIRE
- Date (Creation)
- 2011-10-17
- Explanation
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INSPIRE related dataset
- Pass
- Statement
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Combinations of the French YFS and the British YFS.
- Description
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A Generalised Linear Model has been applied on recent observations (1979 - 2006) to extrapolate densities of common sole for the last 150 years (1850). GLM describes the mean response of a species abundance or presence probability according to environmental conditions. In this type of model, a linear prediction is related to the mean of the response variable through a link function (e.g. identity function for a normally distributed variable, or logit function for binary data). Corresponding habitat models required a two step modelling procedure. The presence probability of the considered species as a function of environmental factors is first modelled using presence-absence data, independently from abundance data. Then, the response in terms of abundance is modelled in case of presence only. The species habitat can finally be predicted by combining the presence-absence model with the model of abundance response in case of presence. This procedure allows circumventing the problem of atypical distribution of count data which include numerous observations with value zero, which is common in species abundance data (Stefánsson, 1996; Barry & Welsh, 2002). In this study, model selection was carried out by initially fitting a complete model including different explanatory variables (note that interactions were not tested). The selected environment predictors were: Bathymetry and sediment structure a class factors. The GLM model was optimised through backward selection based on Chi-square or F-test significance tests (Venables & Ripley, 2002). This approach was taken rather than Akaike Information Criterion reduction (or AIC; Akaike, 1974). For presence-absence data, binomial modelling with logit link function was chosen to obtain a prediction of the probability of presence of the species considered. For non-null abundance data (i.e. removing zero values), the data was log-transformed to achieve normality, and gaussian modelling with identity link function was used to predict positive density on a log scale. The predicted probability of presence was then multiplied with the positive density prediction, to obtain the final predicted value of abundance (Stefánsson, 1996). For each species considered, the equation of the final habitat model was used to recode digital maps of the recent and historical environmental factors with the predicted abundance (or presence probability) of the species, thereby producing a habitat maps at different periods of time.
- Description
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FYFS + BYFS surveys
Metadata
- File identifier
- 4154c623-76e3-453f-88cf-3277aa73c8d4
- Metadata language
- English
- Other language
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Language Character encoding French
- Character set
- UTF8
- Hierarchy level
- Dataset
- Date stamp
- 2020-06-04T00:24:06
- Metadata standard name
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ISO 19115:2003/19139 - SEXTANT
- Metadata standard version
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1.0
- Metadata author
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Organisation name Individual name Electronic mail address Role Ifremer
Sébastien Rochette
Local service desk