Modelling potential spawning habitat of sardine ( Sardina pilchardus ) and anchovy ( Engraulis encrasicolus ) in the Bay of Biscay
Open accessAbstract
Abstract Large amplitude variations in recruitment of small pelagic fish result from interactions between a fluctuating environment and population dynamics processes such as spawning. The spatial extent and location of spawning, which is critical to the fate of eggs and larvae, can vary strongly from year to year, as a result of changing population structure and environmental conditions. Spawning habitat can be divided into ‘potential spawning habitat’, defined as habitat where the hydrographic conditions are suitable for spawning, ‘realized spawning habitat’, defined as habitat where spawning actually occurs, and ‘successful spawning habitat’, defined as habitat from where successful recruitment has resulted. Using biological data collected during the period 2000–2004, as well as hydrographic data, we investigate the role of environmental parameters in controlling the potential spawning habitat of anchovy and sardine in the Bay of Biscay. Anchovy potential spawning habitat appears to be primarily related to bottom temperature followed by surface temperature and mixed‐layer depth, whilst surface and bottom salinity appear to play a lesser role. The possible influence of hydrographic factors on the spawning habitat of sardine seems less clear than for anchovy. Modelled relationships between anchovy and sardine spawning are used to predict potential spawning habitat from hydrodynamical simulations. The results show that the seasonal patterns in spawning are well reproduced by the model, indicating that hydrographic changes may explain a large fraction of spawning spatial dynamics. Such models may prove useful in the context of forecasting potential impacts of future environmental changes on sardine and anchovy reproductive strategy in the north‐east Atlantic.
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Written from the paper’s full text.
TL;DR
Using 2000–2004 PELGAS egg and hydrographic data, this study models potential spawning habitat of sardine and anchovy in the Bay of Biscay with generalised additive models. Anchovy habitat is best predicted by bottom temperature, surface temperature and mixed-layer depth, while sardine relationships are weaker and less clear.
Key findings
- Anchovy potential spawning habitat was best explained by bottom temperature (35% deviance, GCV 0.508), followed by surface temperature and mixed-layer depth; surface and bottom salinity played lesser roles. Anchovy spawning occurred mostly at 14.5–19°C surface and 12–15°C bottom, with a lower bottom-temperature limit near 12°C and an optimal surface temperature around 17°C; eggs were preferentially in low surface salinity (<34), shallow mixed layers, and either weakly stratified (PED <30 J) or highly stratified (PED >110 J) waters.
- Sardine relationships were less clear: all hydrographic predictors had similar deviance and GCV scores, and deviance explained was generally lower than for anchovy. Sardine showed a surface thermal preferendum around 12.5–15°C, a bimodal bottom-temperature response with a first mode near 11.75°C and positive values beyond 12.5°C, and bimodal surface salinity effects (<33.5 and >35.25); eggs occurred across mixing depths, with higher presence for deep or very shallow mixed layers and decreasing presence as stratification increased.
- Multiple-predictor GAMs for anchovy improved up to 5 predictors but gained little beyond a 3-predictor model (bottom temperature, surface salinity, surface temperature); the best sardine model included all six hydrographic predictors. Hydrodynamical simulations for 1999 reproduced seasonal spawning patterns, with anchovy potential habitat absent in late winter and extending in spring, while sardine habitat covered larger, more patchy areas and extended northward.
- Adult biomass was almost unrelated to mean egg-presence probability for anchovy (r² = 0.02, n = 5); sardine showed a positive relationship (r² = 0.6, n = 4) but it depended on one year (2001), so the study could not conclude that year-to-year realised spawning habitat was directly linked to adult biomass.
Methods
- Five spring PELGAS cruises (2000–2004) sampled the Bay of Biscay continental shelf. Eggs were collected with a CUFES pumping seawater at 3 m depth at about 500 L/min, with 20-minute samples corresponding to about 10 m³ filtered seawater over about 3 nautical miles; sardine and anchovy eggs were identified, counted, standardised to eggs per 10 m³, and converted to presence/absence. Hydrographic profiles were taken at fixed stations at night with CTD; six parameters were derived: surface and bottom temperature, surface and bottom salinity, potential energy deficit, and mixed-layer depth; profiles deeper than 100 m were truncated to the first 100 m.
- Egg presence and hydrographic parameters were interpolated on the same 1/8° grid by ordinary point kriging. Generalised additive models (GAMs) in R’s mgcv were fitted first with single predictors, ranked by deviance explained, GCV score, and confidence regions, then with multiple predictors (1–6) selected by GCV and deviance. Potential habitat was predicted from MARS3D hydrodynamical simulations (5 km horizontal resolution, 10 vertical sigma layers) for 1999, restricted to areas shallower than 1000 m, with no prediction where modelled predictors fell outside observed ranges.
Limitations
- Stated: the field cruises were centred on spawning areas and timing, so they included only a fraction of non-spawning sites and a limited range of hydrographic situations; the description is limited to subsurface (3 m) egg presence, and vertical egg distribution was not modelled; simulations depend heavily on the hydrodynamical model’s realism; predicting potential spawning habitat is not predicting realised spawning or spawning success; and the biomass analysis could not establish a year-to-year link to realised spawning habitat for the period studied.
- Evident from the text: individual GAM p-values could not be used because of strong spatial autocorrelation and unknown true degrees of freedom; the study covers only five years (2000–2004) and one simulation year (1999); and sardine relationships were weak and less clear, with all hydrographic predictors performing similarly and lower deviance explained than for anchovy.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
2 of 29 cited sources checked · 2 supported · 0 flagged
- Premisecitation
The cold pool structure is present from southern Brittany down to the latitude of the Gironde estuary, centred over the 100-m depth zone.
“This structure is known to be present from southern Brittany, down to the latitude of the Gironde estuary, centred over the 100-m depth zone.”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Vincent andKurc, 1969
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Puillat et al., 2004 source
- Findingnone given
The influence of hydrographic factors on sardine spawning habitat is less clear than for anchovy.
“The possible influence of hydrographic factors on the spawning habitat of sardine seems less clear than for anchovy.”
Quote in the paperNot a substantial claim - Findingown data
The seasonal patterns in spawning are well reproduced by the model.
“The results show that the seasonal patterns in spawning are well reproduced by the model,”
Quote in the paperSubstantial claim- Rests on an assumption: GAM relationships fitted on 2000-2004 egg presence and hydrographic data can be applied to hydrodynamical simulations to predict potential spawning habitat.
- Findingown data
Anchovy potential spawning habitat is primarily related to bottom temperature, followed by surface temperature and mixed-layer depth, while surface and bottom salinity play a lesser role.
“Anchovy potential spawning habitat appears to be primarily related to bottom temperature followed by surface temperature and mixed-layer depth, whilst surface and bottom salinity appear to play a lesser role.”
Quote in the paperSubstantial claim - Findingown data
Anchovy egg presence shows a preference for either weakly stratified (PED < 30 J) or highly stratified waters (PED > 110 J).
“This is combined with a preference for either weakly stratified (PED < 30 J) or highly stratified waters (PED > 110 J, Fig. 5f 10 left).”
Quote in the paperSubstantial claim
- Findingown data
There is a large degree of interannual variability in anchovy egg distribution.
“There is a large degree of interannual variability in anchovy egg distribution.”
Quote in the paperNot a substantial claim - Findingown data
For sardine, all hydrographic predictors have close values of both percentage of deviance explained and GCV scores.
“The situation is not as clear for sardine, with all hydrographic predictors having close values of both percentage of deviance explained and GCV scores.”
Quote in the paperSubstantial claim - Findingnone given
At the end of April, most of the continental shelf is suitable for sardine spawning.
“At the end of April, most of the continental shelf is suitable for sardine spawning.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: If eggs are present in the water column, they will be found at 3 m depth where the CUFES operates; the presence/absence index used in the study can be considered a good proxy for presence or absence of eggs in the water column.
- Rests on an assumption: The hydrodynamical model can realistically mimic hydrographic conditions.
- Findingnone given
Distribution of sardine eggs can extend throughout the area covered by the survey, i.e. the Bay of Biscay continental shelf.
“Distribution of sardine eggs can extend throughout the area covered by the survey, i.e. the Bay of Biscay continental shelf.”
Quote in the paperNot a substantial claim - Findingown data
Anchovy eggs are generally found in very low numbers in waters with mixed layer depth greater than 50 m.
“Eggs are generally found in very low number in waters with mixed layer depth greater than 50m.”
Quote in the paperSubstantial claim - Findingown data
The relationship between observed biomass and mean probability of egg presence for anchovy is almost null (r2=0.02, n=5).
“The relationship between observed biomass and mean probability of egg presence for anchovy is almost null (r 2 =0.02, n=5).”
Quote in the paperSubstantial claim- Rests on an assumption: Adult fish biomass can potentially influence the spatial extent of spawning.
- Findingown data
There are small potentially favourable locations along the shelf break from 45 to 46N.
“There are small potentially favourable locations along the shelf break from 45 to 46N.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: If eggs are present in the water column, they will be found at 3 m depth where the CUFES operates; the presence/absence index used in the study can be considered a good proxy for presence or absence of eggs in the water column.
- Rests on an assumption: The hydrodynamical model can realistically mimic hydrographic conditions.
- Findingown data
The overall percentage of deviance explained is always lower for sardine than for anchovy.
“The overall percentage of deviance explained is always lower than for anchovy, a result consistent 10 with previous observations on single predictor models.”
Quote in the paperNot a substantial claim - Findingown data
Potentially suitable spawning habitats are seen along the southern coast of Brittany.
“It is also noticeable that potentially suitable 30 spawning habitats are seen along the southern coast of Brittany.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: If eggs are present in the water column, they will be found at 3 m depth where the CUFES operates; the presence/absence index used in the study can be considered a good proxy for presence or absence of eggs in the water column.
- Rests on an assumption: The hydrodynamical model can realistically mimic hydrographic conditions.
- Findingown data
Anchovy eggs are found preferentially in waters with low surface salinity (<34) with almost a monotonic decline towards high salinity values.
“Anchovy eggs are found preferentially in waters with low surface salinity (<34 Fig. 5d left) with almost a monotonic decline towards high salinity values.”
Quote in the paperSubstantial claim - Findingown data
The coastal band along the northern coast of Spain also appears potentially suitable for spawning.
“The coastal band along the Northern coast of Spain also seems potentially suitable for spawning.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: If eggs are present in the water column, they will be found at 3 m depth where the CUFES operates; the presence/absence index used in the study can be considered a good proxy for presence or absence of eggs in the water column.
- Rests on an assumption: The hydrodynamical model can realistically mimic hydrographic conditions.
- Findingown data
For anchovy, bottom salinity and potential energy deficit have a more marginal link to egg presence, with percentage of deviance explained of less than 10%.
“Bottom salinity and potential energy deficit seem to have a more marginal link to egg presence, 25 with percentage of deviance explained of less than 10%.”
Quote in the paperNot a substantial claim - Findingown data
Anchovy spawning mostly occurs in waters of 14.5-19°C at the surface and 12-15°C at the bottom.
“The link between temperature and the spawning of anchovy is clearly visible (Fig. 5a,c left) with spawning mostly occurring in waters of 14.5-19°C at the surface and 12-15°C at the bottom.”
Quote in the paperSubstantial claim - Findingown data
For sardine, the effect of surface salinity appears bimodal with ranges of <33.5 and >35.25.
“For sardine the effect of surface salinity appears bimodal with ranges of <33.5 and >35.25 (Fig 5d right), this latter value corresponding to open ocean conditions.”
Quote in the paperSubstantial claim - Findingown data
For anchovy, following predictors are surface temperature and mixed-layer depth and to a lesser extent surface salinity.
“Following predictors are surface temperature and mixed-layer depth and to a lesser extent surface salinity.”
Quote in the paperNot a substantial claim - Findingnone given
Hydrographic conditions also appear favourable in patchy regions over the central shelf.
“Hydrographic conditions also appear favourable in patchy regions over the central shelf.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: If eggs are present in the water column, they will be found at 3 m depth where the CUFES operates; the presence/absence index used in the study can be considered a good proxy for presence or absence of eggs in the water column.
- Rests on an assumption: The hydrodynamical model can realistically mimic hydrographic conditions.
- Findingown data
There appears to be a thermal preferendum around 12.5-15°C at the surface for sardine.
“There appear to be a thermal preferendum around 12.5-15°C at the surface.”
Quote in the paperSubstantial claim - Findingown data
For sardine, egg abundance decreases as stratification increases.
“The situation for sardine is almost reversed, with egg abundance decreasing as stratification increases (Fig 5f right)”
Quote in the paperSubstantial claim - Findingnone given
The distribution of anchovy eggs is generally confined to the southern part of the Bay of Biscay continental shelf.
“The distribution of anchovy eggs is generally confined to the southern part of the Bay of Biscay continental shelf.”
Quote in the paperNot a substantial claim - Findingnone given
There is a high degree of interannual variability of the location and extent of sardine egg presence.
“As in the case of anchovy, there is a high degree of 10 interannual variability of the location and extent of sardine egg presence.”
Quote in the paperNot a substantial claim - Findingown data
The lower bottom temperature limit for anchovy spawning is evident, with a sharp decline in coefficient values below 12°C.
“The lower bottom temperature limit is evident, with a sharp decline in coefficient values below 12°C.”
Quote in the paperSubstantial claim - Findingreasoning
The possible influence of hydrographic factors on the spawning habitat of sardine seems less clear than for anchovy.
“The possible influence of hydrographic factors on the spawning habitat of sardine seems less clear than for anchovy (Tables 1 and 2).”
Quote in the paperSubstantial claim- The authors state this as an assumption: If eggs are present in the water column, they will be found at 3 m depth where the CUFES operates; the presence/absence index used in the study can be considered a good proxy for presence or absence of eggs in the water column.
- Rests on an assumption: The hydrodynamical model can realistically mimic hydrographic conditions.
- Findingreasoning
Sardines spawn over much of the area covered by the survey.
“Sardines spawn over much of the area covered by the 20 survey, and it is likely that the environmental conditions are not contrasted enough to exert a clear control on spawning within the region.”
Quote in the paperSubstantial claim- The authors state this as an assumption: If eggs are present in the water column, they will be found at 3 m depth where the CUFES operates; the presence/absence index used in the study can be considered a good proxy for presence or absence of eggs in the water column.
- Rests on an assumption: The hydrodynamical model can realistically mimic hydrographic conditions.
- Findingcitation
The range of optimal surface temperature for sardine is shifted towards lower values (12-15°C).
“The range of optimal surface temperature is also shifted towards 15 lower values (12-15°C) which is consistent with the results of Arbault and Lacroix (1977).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Arbault and Lacroix (1977)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- The authors state this as an assumption: If eggs are present in the water column, they will be found at 3 m depth where the CUFES operates; the presence/absence index used in the study can be considered a good proxy for presence or absence of eggs in the water column.
- Rests on an assumption: The hydrodynamical model can realistically mimic hydrographic conditions.
- Findingreasoning
All hydrographic factors appear to have a similar degree of influence on the spawning distribution of sardine.
“All hydrographic factors appear to have a similar degree of influence on the spawning distribution of sardine.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: If eggs are present in the water column, they will be found at 3 m depth where the CUFES operates; the presence/absence index used in the study can be considered a good proxy for presence or absence of eggs in the water column.
- Rests on an assumption: The hydrodynamical model can realistically mimic hydrographic conditions.
- Findingown data
As for anchovy, the shelf break spawning sites are reproduced by the model for sardine, but with very restricted spatial extent, at the edge of the model geographical boundaries.
“As for anchovy, the shelf break spawning sites are reproduced by the model, but with very restricted spatial extent, at the edge of the model geographical boundaries.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: If eggs are present in the water column, they will be found at 3 m depth where the CUFES operates; the presence/absence index used in the study can be considered a good proxy for presence or absence of eggs in the water column.
- Rests on an assumption: The hydrodynamical model can realistically mimic hydrographic conditions.
- Findingnone given
At the end of winter (12/03), the modelled potential spawning habitat of anchovy is almost absent from the Bay of Biscay continental shelf, apart from a small coastal region north of Spain and west of 3°W.
“At the end of winter (12/03) the modelled potential spawning habitat of anchovy is almost absent from the Bay of Biscay continental shelf, apart from a small coastal region north of Spain and west of 3°W.”
Quote in the paperSubstantial claim- The authors state this as an assumption: If eggs are present in the water column, they will be found at 3 m depth where the CUFES operates; the presence/absence index used in the study can be considered a good proxy for presence or absence of eggs in the water column.
- Rests on an assumption: The hydrodynamical model can realistically mimic hydrographic conditions.
- Findingnone given
In early spring, potential spawning habitat extends further east and along the French coast from the south of the Bay of Biscay up to the Gironde estuary.
“In early spring potential spawning habitat extends further east and along the French coast from the south of the Bay of Biscay up to the Gironde estuary.”
Quote in the paperSubstantial claim- The authors state this as an assumption: If eggs are present in the water column, they will be found at 3 m depth where the CUFES operates; the presence/absence index used in the study can be considered a good proxy for presence or absence of eggs in the water column.
- Rests on an assumption: The hydrodynamical model can realistically mimic hydrographic conditions.
- Findingown data
The optimal surface temperature for anchovy spawning appears to be around 17°C.
“It is difficult to specify a spawning thermal range from the results in Figure 5, but the optimal surface temperature for spawning appears to be around 17°C, a value consistent with previous findings”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Arbault andLacroix, 1977
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Motos et al., 1996
- The authors state this as an assumption: If eggs are present in the water column, they will be found at 3 m depth where the CUFES operates; the presence/absence index used in the study can be considered a good proxy for presence or absence of eggs in the water column.
- Rests on an assumption: The hydrodynamical model can realistically mimic hydrographic conditions.
- Findingnone given
The potential habitat extends further offshore towards the north.
“The potential habitat extends further offshore towards the north.”
Quote in the paperSubstantial claim- The authors state this as an assumption: If eggs are present in the water column, they will be found at 3 m depth where the CUFES operates; the presence/absence index used in the study can be considered a good proxy for presence or absence of eggs in the water column.
- Rests on an assumption: The hydrodynamical model can realistically mimic hydrographic conditions.
- Premisecitation
For sardine and anchovy in the Bay of Biscay, spawning areas can be divided into recurrent (refuge) sites where spawning is observed every year and optional sites where the probability of spawning varies greatly from year to year.
“They have shown that for the two species, spawning areas can be divided into recurrent (or refuge) sites where spawning is observed every year and optional sites where the probability of spawning varies greatly from year-to-year.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Bellier et al. (submitted)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
Hydrographic changes may explain a large fraction of spawning spatial dynamics.
“indicating that hydrographic changes may explain a large fraction of spawning spatial dynamics.”
Quote in the paperSubstantial claim - Interpretationown data
The present analysis shows that potential spawning habitat of sardine and anchovy in the Bay of Biscay can be at least partially modelled using hydrographic predictors.
“The present analysis shows that potential spawning habitat of sardine and anchovy in 15 the Bay of Biscay can be at least partially modelled using hydrographic predictors.”
Quote in the paperSubstantial claim- The authors state this as an assumption: If eggs are present in the water column, they will be found at 3 m depth where the CUFES operates; the presence/absence index used in the study can be considered a good proxy for presence or absence of eggs in the water column.
- Rests on an assumption: The hydrodynamical model can realistically mimic hydrographic conditions.
- Interpretationown data
It is not possible to conclude that year-to-year variations in realised spawning habitat are directly linked to adult fish biomass, at least for the period studied.
“As a result, it is not possible to conclude that year-to-year variations in realised spawning habitat is directly linked to adult fish biomass, at least for the period studied in the present work”
Quote in the paperSubstantial claim- Rests on an assumption: Adult fish biomass can potentially influence the spatial extent of spawning.
- Study design and conductown data
The current description of potential habitat is limited to observations realised in the subsurface layer.
“The current description of potential habitat is limited to 15 observations realised in the subsurface layer and could be improved if the vertical distribution of eggs was taken into consideration.”
Quote in the paperSubstantial claim - Premisecitation
Optimal temperature for spawning sardine can vary greatly between regions and between studies.
“Optimal temperature for spawning sardine can vary greatly between regions and between studies.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Tibby, 1937
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Hammann et al. (1998)
- cites Lynn (2003) source
- Premisecitation
Sardine is generally more environmentally flexible than anchovy.
“and to be generally more environmentally flexible than anchovy (Bakun and Broad, 2003).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Bakun and Broad, 2003 source
- Premisecitation
Sardine is known to swim large distances.
“This result is consistent with sardine behaviour which is known to swim large distance (Parrish et al., 1981, Doston andGriffiths, 1996)”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Parrish et al., 1981
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Doston andGriffiths, 1996
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
The cold pool's location corresponds to the zone of weak tidal stirring, between areas of stronger vertical mixing along the coast and along the shelf break.
“Its location corresponds to the zone of weak tidal stirring, 30 between areas of stronger vertical mixing along the coast and along shelf break (Le Fèvre, 1986).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Le Fèvre, 1986
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
Overall, the simulations suggest that a large fraction of previously observed seasonal patterns in spatial distribution of spawning can be explained by seasonal changes in hydrographic conditions.
“Overall, the simulations suggest that a large fraction of previously observed seasonal patterns in spatial distribution of spawning can be explained by seasonal changes in hydrographic conditions.”
Quote in the paperSubstantial claim- The authors state this as an assumption: If eggs are present in the water column, they will be found at 3 m depth where the CUFES operates; the presence/absence index used in the study can be considered a good proxy for presence or absence of eggs in the water column.
- Rests on an assumption: The hydrodynamical model can realistically mimic hydrographic conditions.
- Interpretationreasoning
It is likely that environmental conditions are not contrasted enough to exert a clear control on sardine spawning within the region.
“Sardines spawn over much of the area covered by the 20 survey, and it is likely that the environmental conditions are not contrasted enough to exert a clear control on spawning within the region.”
Quote in the paperSubstantial claim- The authors state this as an assumption: If eggs are present in the water column, they will be found at 3 m depth where the CUFES operates; the presence/absence index used in the study can be considered a good proxy for presence or absence of eggs in the water column.
- Rests on an assumption: The hydrodynamical model can realistically mimic hydrographic conditions.
- Interpretationreasoning
The proposed methodology provides a means for assessing changes in potential spawning habitat in the context of predicted climate variability and change.
“The proposed methodology provides a mean for assessing changes in potential spawning habitat in the context of predicted climate variability and change.”
Quote in the paperSubstantial claim - Premisecitation
Sardine has a more fragmented spatial distribution.
“to have a more fragmented spatial distribution (Barange andHampton, 10 1997, Curtis, 2004)”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Barange andHampton, 1997
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Curtis, 2004 source
- May combine two claims. 32
- Classified as probably not a substantial claim. 8
May combine two claims.
PremisecitationPrevious studies suggest that the vertical distribution of anchovy and sardine eggs is variable but in most cases a fraction of the eggs is always present in the first 5 meters.
“Previous studies (Coombs et al., 1985, Olivar et al., 2001, Boyra 20 et al., 2003, Coombs et al., 2003) suggest that the vertical distribution of anchovy and sardine eggs is variable but in most cases a fraction of the eggs is always present in the first 5 meters”
Quote in the paperSubstantial claim1 of 3 sources checkedMay combine two claims.
Findingown dataThe influence of bottom salinity on anchovy egg presence is less obvious, although there is a decline in the GAM function with increasing salinity.
“The influence of bottom salinity is less obvious although there is a decline in the GAM function with 30 increasing salinity (Fig. 5b left).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingnone givenBy early spring, the potential spawning habitat has extended over a broader area but preserves a similar geographical structure.
“By early spring the potential spawning habitat has extended over a broader area but preserve a similar geographical structure.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: If eggs are present in the water column, they will be found at 3 m depth where the CUFES operates; the presence/absence index used in the study can be considered a good proxy for presence or absence of eggs in the water column.
- Rests on an assumption: The hydrodynamical model can realistically mimic hydrographic conditions.
May combine two claims.
Findingnone givenIn late winter, most of the coast along northern Spain appears favourable for spawning, as well as the southern part of the Bay of Biscay up to 45N, excluding a narrow coastal strip.
“In late winter, most of the coast along northern Spain 5 appears favourable for spawning, as well as the southern part of the Bay of Biscay up to 45N, excluding a narrow coastal strip.”
Quote in the paperSubstantial claim- The authors state this as an assumption: If eggs are present in the water column, they will be found at 3 m depth where the CUFES operates; the presence/absence index used in the study can be considered a good proxy for presence or absence of eggs in the water column.
- Rests on an assumption: The hydrodynamical model can realistically mimic hydrographic conditions.
May combine two claims.
Findingnone givenThe six hydrographic parameters chosen provide complementary information and are not strongly correlated with each other.
“The six hydrographic parameters chosen provide complementary information and although they can be well structured in space (spatial autocorrelation) they are not strongly correlated with each other.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFor anchovy, bottom temperature is the predictor that best explains egg presence, with the highest deviance (35%) and lowest GCV score (0.508).
“For anchovy, the predictor that can best explain egg presence is bottom temperature, with the highest deviance (35%) and lowest GCV score (0.508).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor sardine, there is a regular increase in model quality as the number of predictors increases, and the best model includes all hydrographic predictors.
“For sardine, there is a regular increase in model quality (both in terms of GCV and deviance) as the number of predictors increases, and the best model includes all hydrographic predictors.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFor sardine bottom temperature, the response is bimodal with a first mode around 11.75°C, and positive coefficients beyond 12.5°C.
“For bottom temperature the response is bimodal with a first mode around 25 11.75°C, and positive coefficients values beyond 12.5°C.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataSardine eggs are found throughout the range of mixing depths with higher presence probabilities for either deep or very shallow mixed layers.
“and eggs found throughout the range of mixing depths with 15 higher presence probabilities for either deep or very shallow mixed layers (Fig. 5e right).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAnchovy spawning is related to mixing depth, with greater egg presence in shallow mixed layer conditions.
“Anchovy spawning is related to mixing depth, with greater egg presence in shallow mixed layer conditions (Fig. 5e left).”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone givenThe modelled potential spawning habitat of sardine generally covers larger areas and is more patchy than that of anchovy.
“The modelled potential spawning habitat of sardine generally covers larger areas and is more patchy than that of anchovy.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: If eggs are present in the water column, they will be found at 3 m depth where the CUFES operates; the presence/absence index used in the study can be considered a good proxy for presence or absence of eggs in the water column.
- Rests on an assumption: The hydrodynamical model can realistically mimic hydrographic conditions.
May combine two claims.
FindingreasoningAlong the coast north of the Gironde estuary, hydrographic conditions are outside the range of the GAMs, so no potential spawning habitat is predicted for this region.
“Along the coast to the north of the Gironde estuary, the hydrographic conditions are not within the range of the GAMs, so there is no prediction of the potential spawning habitat for this region.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: If eggs are present in the water column, they will be found at 3 m depth where the CUFES operates; the presence/absence index used in the study can be considered a good proxy for presence or absence of eggs in the water column.
- Rests on an assumption: The hydrodynamical model can realistically mimic hydrographic conditions.
Probably not a substantial claim: may not pass S3 (load-bearing).
FindingreasoningThe five cruises took place in contrasted hydrographic situations as a result of changes in individual cruise timing and meteorological conditions.
“In summary, the five cruises have taken place in contrasted hydrographic situations as a result of changes in individual cruise timing and meteorological conditions (e.g.high precipitation in 2001, strong solar heating in 2003).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingnone givenBy late May, potential spawning habitat has restricted towards shallower waters, but also along the shelf break.
“By late May, 10 potential spawning habitat has restricted towards shallower waters, but also along the shelf break.”
Quote in the paperSubstantial claim- The authors state this as an assumption: If eggs are present in the water column, they will be found at 3 m depth where the CUFES operates; the presence/absence index used in the study can be considered a good proxy for presence or absence of eggs in the water column.
- Rests on an assumption: The hydrodynamical model can realistically mimic hydrographic conditions.
May combine two claims.
Findingown dataFor sardine, there is a positive relationship between observed biomass and mean probability of egg presence (r2=0.6, n=4), but it results from one year of observation only, in 2001, when estimated biomass and mean probability of egg presence were both low.
“For sardine there is a positive relationship (r 2 =0.6, n=4) but it results from one year of observation only, in 2001, when the estimated biomass was low and the mean probability of egg 10 presence was also low.”
Quote in the paperSubstantial claim- Rests on an assumption: Adult fish biomass can potentially influence the spatial extent of spawning.
May combine two claims.
Findingown dataFor anchovy, model quality increases up to 5 predictors, although little is gained beyond the 3-predictor model which includes bottom temperature, surface salinity and surface temperature.
“For anchovy, the quality of the models increases up to 5 predictors, although 5 little is gained beyond the 3-predictors model which includes bottom temperature, surface salinity and surface temperature.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataBottom temperature appears to be the best predictor for anchovy potential spawning habitat, followed by surface temperature and mixed-layer depth, whilst surface and bottom salinity appear to play a lesser role.
“Surprisingly, bottom temperature appears to be the best predictor for anchovy potential spawning habitat, followed by surface temperature and mixed-layer depth, whilst surface and bottom salinity appear to play a lesser role (Tables 1 and 2).”
- Also stated in: § DISCUSSION · plain
“The moderate role of salinity in the Bay of Biscay is consistent with the findings of Reid (1966) at the scale of the global ocean.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Reid (1966)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- The authors state this as an assumption: If eggs are present in the water column, they will be found at 3 m depth where the CUFES operates; the presence/absence index used in the study can be considered a good proxy for presence or absence of eggs in the water column.
- Rests on an assumption: The hydrodynamical model can realistically mimic hydrographic conditions.
- Also stated in: § DISCUSSION · plain
May combine two claims.
Findingown dataIn late May, hydrographic conditions appear favourable over a wide area south of 46°N and more restricted towards the coast in the north.
“In late May the hydrographic conditions appear favourable over a wide area south of 46°N and more restricted towards the coast in the north.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: If eggs are present in the water column, they will be found at 3 m depth where the CUFES operates; the presence/absence index used in the study can be considered a good proxy for presence or absence of eggs in the water column.
- Rests on an assumption: The hydrodynamical model can realistically mimic hydrographic conditions.
May combine two claims.
Findingown dataAt the end of April, the southern part of the Bay of Biscay appears less favourable for spawning, while north of the Gironde the potential habitat extends further towards the middle of the shelf.
“At the end of April, the southern part of the Bay seems less favourable for spawning whilst to the north of the Gironde the potential habitat extends further towards the middle of the shelf.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: If eggs are present in the water column, they will be found at 3 m depth where the CUFES operates; the presence/absence index used in the study can be considered a good proxy for presence or absence of eggs in the water column.
- Rests on an assumption: The hydrodynamical model can realistically mimic hydrographic conditions.
May combine two claims.
Findingown dataAside from temperature effects, high egg abundance seems to prevail in either coastal well-mixed areas (shallow mixed-layer and low stratification energy) or highly stratified river plumes (shallow mixed-layer depth, high stratification and low surface salinity).
“Aside from temperature effects, high egg abundance seems to prevail in either coastal well mixed areas (i.e.shallow mixed-layer and low stratification energy) or highly stratified river plumes (i.e.shallow mixed-layer depth, high stratification and 5 low surface salinity, Fig. 5).”
Quote in the paperSubstantial claim- The authors state this as an assumption: If eggs are present in the water column, they will be found at 3 m depth where the CUFES operates; the presence/absence index used in the study can be considered a good proxy for presence or absence of eggs in the water column.
- Rests on an assumption: The hydrodynamical model can realistically mimic hydrographic conditions.
May combine two claims.
Findingnone givenThe late spawning at the shelf break north of 45°N is not well reproduced, although there are areas with high probability of egg presence but with very restricted spatial extension.
“The late spawning at the shelf break north of 45°N is not well reproduced, although there are areas with high probability of egg presence but with very restricted spatial extension.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: If eggs are present in the water column, they will be found at 3 m depth where the CUFES operates; the presence/absence index used in the study can be considered a good proxy for presence or absence of eggs in the water column.
- Rests on an assumption: The hydrodynamical model can realistically mimic hydrographic conditions.
May combine two claims.
FindingcitationThe modelled succession of spatial patterns for anchovy potential spawning habitat in 1999 is in agreement with field observations, with early spawning along the coast in the southern part of the Bay, followed by increasing spawning off the Gironde estuary and a gradual displacement towards northern coastal latitudes to the south of Brittany.
“The modelled succession of spatial patterns for anchovy potential spawning habitat in 1999 is in agreement with field observations, as describe in Motos et al. (1996), with early spawning taking place along the coast in the southern part of the Bay, followed by increasing spawning off the Gironde estuary and a gradual displacement towards northern coastal latitudes to the South of Brittany.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Motos et al. (1996)
- The authors state this as an assumption: If eggs are present in the water column, they will be found at 3 m depth where the CUFES operates; the presence/absence index used in the study can be considered a good proxy for presence or absence of eggs in the water column.
- Rests on an assumption: The hydrodynamical model can realistically mimic hydrographic conditions.
May combine two claims.
Findingown dataSardine appears to have a greater tolerance than anchovy for low bottom temperature, although it also appears to avoid cold pool waters.
“Sardine appears to have a greater tolerance than anchovy for low bottom temperature (Fig. 5) although it also appears to avoid cold pool waters.”
Quote in the paperSubstantial claim- The authors state this as an assumption: If eggs are present in the water column, they will be found at 3 m depth where the CUFES operates; the presence/absence index used in the study can be considered a good proxy for presence or absence of eggs in the water column.
- Rests on an assumption: The hydrodynamical model can realistically mimic hydrographic conditions.
May combine two claims.
Findingnone givenSardine eggs can be found in coastal waters (shallow mixing depth and low stratification energy), but contrary to anchovy they are also found in areas of deep mixing and low stratification energy which correspond to thermal rather than haline stratification in early spring.
“Sardine eggs can be found in coastal waters (i.e.shallow mixing depth and low stratification energy), but contrary to anchovy they are also found in areas of deep mixing and low stratification energy which correspond to thermal rather than haline stratification in early spring.”
Quote in the paperSubstantial claim- The authors state this as an assumption: If eggs are present in the water column, they will be found at 3 m depth where the CUFES operates; the presence/absence index used in the study can be considered a good proxy for presence or absence of eggs in the water column.
- Rests on an assumption: The hydrodynamical model can realistically mimic hydrographic conditions.
May combine two claims.
Findingown dataThe modelled succession of spatial patterns for sardine is consistent with existing field observations, with potential spawning habitat showing a more fragmented distribution and covering a larger area than for anchovy and progressively extending northward as the season progresses.
“The modelled succession of spatial patterns for sardine is also consistent with existing field observations, with 5 potential spawning habitat showing a more fragmented distribution and covering a larger area than for anchovy and progressively extending northward as the season progresses.”
Quote in the paperSubstantial claim- The authors state this as an assumption: If eggs are present in the water column, they will be found at 3 m depth where the CUFES operates; the presence/absence index used in the study can be considered a good proxy for presence or absence of eggs in the water column.
- Rests on an assumption: The hydrodynamical model can realistically mimic hydrographic conditions.
May combine two claims.
PremisecitationAnchovy spawning occurs preferentially close to the coast and sometimes at the shelf break or in oceanic slope water eddies.
“Anchovy spawning occurs preferentially close to the coast and sometimes at the shelf break or in oceanic slope water eddies (Motos et al., 1996).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Motos et al., 1996
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenThe impact of salinity has been little described for sardine populations.
“The impact of salinity has been little described for sardine populations.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationStratification, retention and plankton production have been proposed as other controlling factors for anchovy spawning or spawning success in the Bay of Biscay.
“Stratification, retention and plankton production have been proposed as other controlling factors for anchovy spawning (or spawning success) in the Bay of Biscay (Motos et al., 1996).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Motos et al., 1996
May combine two claims.
PremisecitationAnchovy spawning is constrained by thermal environment, with reported thermal windows varying among studies (14-20°C, 16.5-19°C, 14-18°C).
“Intensity of spawning appears to be constrained by thermal environment : Arbault and Lacroix (1977) have reported anchovy spawning within a thermal window of 14-20°C, Sola et al. (1990) have found a thermal window of 16.5-19°C whilst according to Motos et al. (1996) the thermal range is between 14 and 18°C.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Arbault and Lacroix (1977)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Sola et al. (1990)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Motos et al. (1996)
May combine two claims.
PremisecitationIn the Bay of Biscay, sardine spawning occurs within a thermal window of 12.5-15°C according to Sola et al. (1990) and 10-16°C according to Arbault and Lacroix (1977).
“In the Bay of Biscay, sardine spawning occurs within a thermal window of 12.5-15°C according to Sola et al. (1990) and of 10-16°C according to Arbault and 5 Lacroix (1977).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Sola et al. (1990)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Arbault and Lacroix (1977)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S4 (based).
Study design and conductnone givenThe simulations of potential spawning habitat rely heavily on the capability of the hydrodynamical model to mimic realistically hydrographic conditions.
“The simulations of potential spawning habitat relies heavily on the capability of the hydrodynamical model to mimic realistically hydrographic conditions.”
Quote in the paperNot a substantial claim- Rests on an assumption: The hydrodynamical model can realistically mimic hydrographic conditions.
May combine two claims.
InterpretationreasoningIt is likely that anchovy are not directly dependent on temperature close to the bottom, but because temperature displays little gradient below the thermocline, bottom temperature appears as a good proxy for conditions between the bottom and the thermocline.
“It is likely that anchovy are not directly dependent on temperature close to the bottom, but since temperature displays little gradient below the thermocline, bottom temperature appears as a good proxy for the conditions between the bottom and 25 the thermocline.”
Quote in the paperSubstantial claim- The authors state this as an assumption: If eggs are present in the water column, they will be found at 3 m depth where the CUFES operates; the presence/absence index used in the study can be considered a good proxy for presence or absence of eggs in the water column.
- Rests on an assumption: The hydrodynamical model can realistically mimic hydrographic conditions.
May combine two claims.
Study design and conductreasoningThe field cruises are centred on the area and timing of spawning of anchovy and sardine and therefore include only a fraction of non-spawning sites and are limited in the range of hydrographic situations encountered.
“Since the field cruises are primarily designed to monitor anchovy and sardine populations, they are centred on the area and timing of spawning of the two species and therefore include only a fraction of the non-spawning sites and are limited in the range of hydrographic situations encountered.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Premisenone givenThere has yet been no quantitative assessment of the link between stratification, retention and plankton production and anchovy spawning.
“However, there has yet been no quantitative assessment of the link between these factors and anchovy spawning.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe genus Engraulis is found from estuaries to high salinity waters, so it is associated with coastal areas rather than with water of a given salinity range.
“In his world-wide analysis of anchovy distribution, Reid (1966) argues that the genus Engraulis is found from estuaries to high salinity waters, so that it is associated with coastal areas rather than with water of a given salinity range.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Reid (1966)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing). May combine two claims.
InterpretationcitationHydrographic conditions can be seen as providing the 'hydrographic envelope' of the spawning species, a notion related to the more general 'bioclimate envelope' or 'climate space'.
“Such conditions can be seen as providing the 'hydrographic envelope' of the spawning species, a notion which can be related to the more general 5 'bioclimate envelope' or 'climate space' (see Pearson and Dawson, 2003 and references therein).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Pearson and Dawson, 2003 source
Classified as probably not a substantial claim. May combine two claims.
Premisenone givenPredicting potential spawning habitat is not predicting realised spawning and even less predicting spawning success, which depends upon adult population structure, biological conditions in the ocean, and environmental hydrodynamical conditions after spawning.
“However, one must not forget that predicting potential spawning habitat is not predicting realised spawning and even 10 less predicting spawning success which depends upon adult population structure, biological conditions in the ocean (e.g.predators and preys) as well as environmental hydrodynamical conditions after spawning.”
Quote in the paperSubstantial claim
The paper relies on this without support.
Egg presence is a valid indicator of spawning.
“The definition of potential spawning habitat is based on the existence of a relationship between hydrographic factors and the probability of egg presence.”
The paper relies on this without support.
Spatial and seasonal extent of potential spawning habitat is primarily affected by variability in climate and the environment.
“Spatial and seasonal extent of potential 5 spawning habitat will be primarily affected by variability in climate and the environment.”
The paper relies on this without support.
GAM relationships fitted on 2000-2004 egg presence and hydrographic data can be applied to hydrodynamical simulations to predict potential spawning habitat.
“Using the GAMs (constructed from observed egg distributions and hydrographic situations) it is possible to predict the probability of egg presence from a new set of hydrographic predictors.We have made such attempt using hydrographic results for hydrodynamical simulations.”
The authors state this as an assumption.
If eggs are present in the water column, they will be found at 3 m depth where the CUFES operates; the presence/absence index used in the study can be considered a good proxy for presence or absence of eggs in the water column.
“It therefore appears to be a reasonable assumption that if eggs are present in the water column they will be found at 25 3m depth where the CUFES operates, and the presence/absence index used in the present study can be considered as a good proxy for presence or absence of eggs in the water column.”
The paper relies on this without support.
The hydrodynamical model can realistically mimic hydrographic conditions.
“The simulations of potential spawning habitat relies heavily on the capability of the hydrodynamical model to mimic realistically hydrographic conditions.”
The paper relies on this without support.
Adult fish biomass can potentially influence the spatial extent of spawning.
“Another variable which can potentially influence the spatial extent of spawning is the biomass of adult fish spawning.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Similar mechanisms have been proposed for the spawning of European anchovy in the Mediterranean and in the Bay of Biscay.
“Similar mechanisms have been proposed also for the spawning of European anchovy in the Mediterranean (Agostini and Bakun, 2002) and in the Bay of Biscay (Bellier et al., 2007;Planque et al., 2007).”
From Evolutionary and ecological constraints of fish spawning habitats (2015) · cites this paper as Planque et al., 2007
Small pelagic species in the eastern Bay of Biscay and in the Benguela system display similar degrees of environmental flexibility in their reproductive locale.
“Several other small pelagic species in the eastern Bay of Biscay (Bellier et al., 2007;Planque et al., 2007) and in the Benguella system (Kreiner et al., 2011) display similar degrees of environmental flexibility in their reproductive locale.”
From Evolutionary and ecological constraints of fish spawning habitats (2015) · cites this paper as Planque et al., 2007
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Post-spawning effects attributed to realised habitat
MinorThe paper defines realised spawning habitat by where fish actually spawn and attributes its extent primarily to adult population characteristics. It then attributes effects on eggs, larvae and juveniles after spawning to realised habitat, although those effects belong to its definition of successful spawning habitat.
“Factors that affect realised spawning habitat are factors 10 that will affect eggs, larvae and juveniles after spawning has taken place.”
“The successful spawning habitat is defined by the fate of eggs spawned into it.”
Cites
Cressie, N. (1992) · Terra Nova · doi:10.1111/j.1365-3121.1992.tb00605.x · Cited by 9,139 · see citing works
Brown, R. A., Hastie, T. J., & Tibshirani, R. J. (1991) · Biometrics · doi:10.2307/2532174 · Cited by 8,262 · see citing works
Koyak, R. A., Hastie, T. J., & Tibshirani, R. J. (1991) · Journal of the American Statistical Association · doi:10.2307/2290538 · Cited by 7,717 · see citing works
Cressie, N. A. C. (1993) · Wiley Series in Probability and Statistics · doi:10.1002/9781119115151 · Cited by 6,507 · see citing works
Pearson, R. G., & Dawson, T. P. (2003) · Global Ecology and Biogeography · doi:10.1046/j.1466-822x.2003.00042.x · Cited by 4,252 · see citing works
Statistics for Spatial Data, Revised Edition.
Cressie, N. (1994) · Biometrics · doi:10.2307/2533238 · Cited by 1,878 · see citing works
Populations in a Seasonal Environment.
Cody, M. L., & Fretwell, S. D. (1973) · Evolution · doi:10.2307/2406975 · Cited by 1,698 · see citing works
Wood, S. N., & Augustin, N. H. (2002) · Ecological Modelling · doi:10.1016/s0304-3800(02)00193-x · Cited by 821 · see citing works
Patterns in the ocean: Ocean processes and marine population dynamics
Bakun, A. (1996) · Time to knit · doi:10.1016/s0967-0653(97)86596-9 · Cited by 623 · see citing works
Dynamic Geography of Marine Fish Populations
MacCall, A. D. (1990) · Cited by 514 · see citing works
Aspects of the Biology of Frontal Systems
Le Fèvre, J. (1987) · Advances in Marine Biology · doi:10.1016/s0065-2881(08)60109-1 · Cited by 433 · see citing works
Dynamic Geography of Marine Fish Populations
Quinn, T. J., & McCall, A. D. (1991) · Copeia · doi:10.2307/1446418 · Cited by 389 · see citing works
Transport Mechanisms and Reproductive Success of Fishes in the California Current
Parrish, R., Nelson, C. S., & Bakun, A. (2013) · Cited by 322 · see citing works
Agostini, V. N., & Bakun, A. (2002) · Fisheries Oceanography · doi:10.1046/j.1365-2419.2002.00201.x · Cited by 278 · see citing works
Bakun, A., & Broad, K. (2003) · Fisheries Oceanography · doi:10.1046/j.1365-2419.2003.00258.x · Cited by 267 · see citing works
Spatial Processes and Management of Marine Populations
Kruse, G. H. (2001) · Alaska Sea Grant, University of Alaska Fairbanks eBooks · doi:10.4027/spmmp.2001 · Cited by 231 · see citing works
Lloret, J., Palomera, I., Salat, J., & Solé, I. (2004) · Fisheries Oceanography · doi:10.1046/j.1365-2419.2003.00279.x · Cited by 203 · see citing works
Patterns in the ocean: Ocean processes and marine population dynamics
Banse, K. (1997) · Continental Shelf Research · doi:10.1016/s0278-4343(97)00037-x · Cited by 191 · see citing works
3D modelling of seasonal evolution of Loire and Gironde plumes on Biscay Bay continental shelf
Lazure, P., & Jegou, A.-M. (1998) · Oceanologica Acta · doi:10.1016/s0399-1784(98)80006-6 · Cited by 188 · see citing works
Self-citationParrish, R. H., Serra, R., & Grant, W. S. (1989) · Canadian Journal of Fisheries and Aquatic Sciences · doi:10.1139/f89-251 · Cited by 179 · see citing works
(1996) · Scientia Marina · Cited by 160 · see citing works
A one-dimensional model for the vertical distribution of pelagic fish eggs in the mixed layer
Sundby, S. (1983) · Deep Sea Research Part A Oceanographic Research Papers · doi:10.1016/0198-0149(83)90042-0 · Cited by 158 · see citing works
Borja, Á., Uriarte, A., Valencia, V., Motos, L., & Uriarte, A. (1996) · Scientia Marina · Cited by 146 · see citing works
A continuous, underway fish egg sampler
Checkley, D. M., Ortner, P. B., Settle, L. R., & Cummings, S. R. (1997) · Fisheries Oceanography · doi:10.1046/j.1365-2419.1997.00030.x · Cited by 144 · see citing works
Olivar, M., Salat, J., & Palomera, I. (2001) · Marine Ecology Progress Series · doi:10.3354/meps217111 · Cited by 144 · see citing works
Hydrographical variability on the French continental shelf in the Bay of Biscay, during the 1990s
Puillat, I., Lazure, P., Jégou, A. M., Lampert, L., & Miller, P. I. (2004) · Continental Shelf Research · doi:10.1016/j.csr.2004.02.008 · Cited by 137 · see citing works
Self-citationLluch‐Belda, D., Lluch-Cota, D. B., Hernández‐Vázquez, S., Salinas‐Zavala, C. A., & Schwartzlose, R. A. (1991) · Cited by 134 · see citing works
BELLIER, E., PLANQUE, B., & PETITGAS, P. (2007) · Fisheries Oceanography · doi:10.1111/j.1365-2419.2006.00410.x · Cited by 108 · see citing works
Self-citationBay of Biscay and Ibero Atlantic anchovy populations and their fisheries
Uriarte, A., Prouzet, P., & Villamor, B. (1996) · HAL (Le Centre pour la Communication Scientifique Directe) · Cited by 101 · see citing works
Checkley, D. M., Dotson, R. C., & Griffith, D. A. (2000) · Deep Sea Research Part II Topical Studies in Oceanography · doi:10.1016/s0967-0645(99)00139-3 · Cited by 91 · see citing works
Ettahiri, O., Berraho, A., Vidy, G., Ramdani, M., & Do-Chi, T. (2003) · Fisheries Research · doi:10.1016/s0165-7836(02)00172-8 · Cited by 88 · see citing works
der Lingen, V. (2001) · Medical Entomology and Zoology · Cited by 75 · see citing works
Barangé, M., & Hampton, I. (1997) · Fisheries Oceanography · doi:10.1046/j.1365-2419.1997.00032.x · Cited by 65 · see citing works
Allain, G., Petitgas, P., & Lazure, P. (2001) · Fisheries Oceanography · doi:10.1046/j.1365-2419.2001.00164.x · Cited by 62 · see citing works
Self-citationCoombs, S. H., Fosh, C. A., & Keen, M. A. (1985) · Journal of the Marine Biological Association of the United Kingdom · doi:10.1017/s0025315400050542 · Cited by 62 · see citing works
Lynn, R. J. (2003) · Fisheries Oceanography · doi:10.1046/j.1365-2419.2003.00232.x · Cited by 58 · see citing works
Detecting hydrological landscapes over the Bay of Biscay continental shelf in spring
Planque, B., Lazure, P., & Jégou, A. (2004) · Climate Research · doi:10.3354/cr028041 · Cited by 53 · see citing works
Self-citation(1998) · Reports - California Cooperative Oceanic Fisheries Investigations · Cited by 48 · see citing works
Coombs, S. H., Giovanardi, O., Halliday, N. C., Franceschini, G., Conway, D. V. P., Manzueto, L., Barrett, C., & McFadzen, I. R. B. (2003) · Marine Ecology Progress Series · doi:10.3354/meps248221 · Cited by 43 · see citing works
Ward, T., & Staunton-Smith, J. (2002) · Fisheries Research · doi:10.1016/s0165-7836(01)00314-9 · Cited by 39 · see citing works
Relating sardine Sardinops sagax abundance to environmental indices in northern Benguela
Daskalov, G. M., Boyer, D. C., & Roux, J.-P. (2003) · Progress In Oceanography · doi:10.1016/j.pocean.2003.09.002 · Cited by 34 · see citing works
Stenevik, E. K., Sundby, S., & Cloete, R. (2001) · South African Journal of Marine Science · doi:10.2989/025776101784528845 · Cited by 34 · see citing works
Boyra, G., Rueda, L., Coombs, S. H., Sundby, S., Ådlandsvik, B., Santos, M., & Uriarte, A. (2003) · Fisheries Oceanography · doi:10.1046/j.1365-2419.2003.00260.x · Cited by 32 · see citing works
One‐dimensional biophysical modelling of fish egg vertical distributions in shelf seas
Petitgas, P., Magri, S., & Lazure, P. (2006) · Fisheries Oceanography · doi:10.1111/j.1365-2419.2006.00409.x · Cited by 30 · see citing works
Self-citationFurnestin, J., & Furnestin, M.-L. (1953) · Institutional Archive of Ifremer (French Research Institute for Exploitation of the Sea) · Cited by 27 · see citing works
Contribution à l'étude biologique de la sardine atlantique (Sardina pilchardus WALBAUM)
Furnestin, J. (1943) · Institutional Archive of Ifremer (French Research Institute for Exploitation of the Sea) · Cited by 21 · see citing works
Alexandra Curtis, K. (2004) · Fisheries Oceanography · doi:10.1111/j.1365-2419.2004.00291.x · Cited by 20 · see citing works
Castro, L., Fréon, P., van der Lingen, C. D., & Uriarte, A. (2005) · Cited by 20 · see citing works
Hydrologie variations saisonnieres de la situation thermique du Golfe de Gascogne en 1967
Vincent, A., & Kurc, G. (1969) · Institutional Archive of Ifremer (French Research Institute for Exploitation of the Sea) · Cited by 8 · see citing works
Flagged first, then by citations
1 of the 50 references couldn’t be matched to a known paper.
Research works printed but not linked: 11
- Ahlstrom E.H., 1965, A review of the effects of the environment of the Pacific sardine, ICNAF Spec. Publ., 6, 53
- Arbault S., 1967, Oeufs et larves de poissons téléostéens dans le golfe de Gascogne en 1964, Cons. Int. Explor. Mer., 11
- Arbault S., 1971, Aires de ponte de la sardine, du sprat et de l'anchois dans le golfe de Gascogne et sur le plateau Celtique. Résultats de 6 années d’études, Rev. Trav. Inst. Pêches Marit., 35, 35
- Arbault S., 1977, Oeufs et larves de clupeides et engraulides dans le golfe de Gascogne (1969–1973). Distribution des frayères. Relations entre les facteurs du milieu et la reproduction, Rev. Trav. Inst. Pêches Marit., 41, 227
- Fage L., 1911, Recherches sur la biologie de l'anchois (Engraulis encrassicholus Linné) ‐ races ‐ âge ‐ migrations, Ann. Inst. Océanogr., 2, 45
- R Development Core Team, 2004, A Language and Environment for Statistical Computing
- Reid J.L., 1966, Oceanic environment of the genus Engraulis around the world, CalCOFI Rep., 11, 29
- Sola A., 1990, Seasonal occurrence of pelagic fish eggs and larvae in the Cantabrian Sea (VIIIc) and Galicia (IXa) from 1987 to 1989, ICES CM, 1990, 14
- Stratoudakis Y., 2004, Sardine (Sardina pilchardus) spawning season in the North East Atlantic and relationships with sea surface temperature, ICES CM, 2004, 19
- Tibby R.B., 1937, The relation between surface water temperature and the distribution of spawn of the California sardine (Sardinops caerulea), Cal. Fish. Game, 23, 132
- Westgard T., 1989, Two models for the vertical distribution of pelagic fish eggs in the turbulent upper layer of the ocean, Rapp. P.-v. Réun. Cons. int. Explor. Mer., 191, 195
Cited by
Sorted by citations
Ecosystem oceanography for global change in fisheries
Cury, P. M., Shin, Y., Planque, B., Durant, J. M., Fromentin, J., Kramer‐Schadt, S., Stenseth, N. C., Travers‐Trolet, M., & Grimm, V. (2008) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2008.02.005 · Cited by 315 · see citing works
Self-citationImpacts of climate change on the complex life cycles of fish
Petitgas, P., Rijnsdorp, A. D., Dickey‐Collas, M., Engelhard, G. H., Peck, M. A., Pinnegar, J. K., Drinkwater, K. F., Huret, M., & Nash, R. D. M. (2012) · Fisheries Oceanography · doi:10.1111/fog.12010 · Cited by 216 · see citing works
“concomitant increase in surface water temperature above 14°C occurring in April or May, and eggs are generally found in the surface layer (<15 m) (Motos et al., 1996; Planque et al., 2007).”
BackgroundLife cycle ecophysiology of small pelagic fish and climate-driven changes in populations
Peck, M. A., Reglero, P., Takahashi, M., & Catalán, I. A. (2013) · Progress In Oceanography · doi:10.1016/j.pocean.2013.05.012 · Cited by 176 · see citing works
Giannoulaki, M., Iglesias, M., Tugores, M. P., Bonanno, A., Patti, B., Felice, A. D., Leonori, I., Bigot, J.-L., Tičina, V., Pyrounaki, M. M., et al. (2012) · Fisheries Oceanography · doi:10.1111/fog.12005 · Cited by 155 · see citing works
“This approach links species location information to environmental data, assessing the combination of these environmental conditions that are suitable for the survival of the species (Planque et al., 2007; Zwolinski et al., 2011) in the absence of explicit biotic interactions (such as competition or predation).”
BackgroundInfluentialEvolutionary and ecological constraints of fish spawning habitats
Ciannelli, L., Bailey, K., & Olsen, E. M. (2015) · ICES Journal of Marine Science · doi:10.1093/icesjms/fsu145 · Cited by 127 · see citing works
Takasuka, A., Oozeki, Y., Kubota, H., & Lluch-Cota, S. E. (2008) · Progress In Oceanography · doi:10.1016/j.pocean.2008.03.008 · Cited by 121 · see citing works
BELLIER, E., PLANQUE, B., & PETITGAS, P. (2007) · Fisheries Oceanography · doi:10.1111/j.1365-2419.2006.00410.x · Cited by 108 · see citing works
“Such meso-scale hydrodynamic structures display large interannual variability (Koutsikopoulos and Le Cann, 1996; Puillat et al., 2004; Planque et al., 2006), as a response to fluctuations in climatic and hydrological forcing (Planque et al.”
BackgroundInfluentialSelf-citationReglero, P., Tittensor, D., Álvarez-Berastegui, D., Aparicio-González, A., & Worm, B. (2014) · Marine Ecology Progress Series · doi:10.3354/meps10666 · Cited by 106 · see citing works
Rooker, J. R., Simms, J. R., Wells, R. J. D., Holt, S. A., Holt, G. J., Graves, J. E., & Furey, N. B. (2012) · PLoS ONE · doi:10.1371/journal.pone.0034180 · Cited by 105 · see citing works
Bernal, M., Stratoudakis, Y., Coombs, S., Angelico, M. M., de Lanzós, A. L., Porteiro, C., Sagarminaga, Y., Santos, M., Uriarte, A., Cunha, E., et al. (2007) · Progress in Oceanography · doi:10.1016/j.pocean.2007.04.018 · Cited by 104 · see citing works
Muhling, B. A., Brodie, S. J., Smith, J. A., Tommasi, D., Gaitán, C. F., Hazen, E. L., Jacox, M. G., Auth, T. D., & Brodeur, R. D. (2020) · Frontiers in Marine Science · doi:10.3389/fmars.2020.00589 · Cited by 102 · see citing works
“Previous studies have shown that actual occupied habitat is more spatiotemporally restricted than potential habitat for many fish species, particularly when stock biomass is low (Planque et al., 2007; Reiss et al., 2008).”
BackgroundGrüss, A., Drexler, M., & Ainsworth, C. H. (2014) · Fisheries Research · doi:10.1016/j.fishres.2014.05.005 · Cited by 91 · see citing works
“One of their major advantages is that they can be used to estimate spatial patterns of abundance or biomass over a broad geographic region spanning both sampled and unsampled areas (e.g., Koubbi et al., 2006; Vaz et al., 2006; Loots et al., 2007; Planque et al., 2007).”
BackgroundTugores, M. P., Giannoulaki, M., Iglesias, M., Bonanno, A., Tičina, V., Leonori, I., Machias, A., Tsagarakis, K., Díaz, N., Giráldez, A., et al. (2011) · Marine Ecology Progress Series · doi:10.3354/meps09366 · Cited by 87 · see citing works
“Understanding the environmental conditions that drive their spatial distribution requires the integration of information over large spatial and temporal scales (Mackinson et al. 1999, Planque et al. 2007).”
InfluentialThe PELGAS survey: Ship-based integrated monitoring of the Bay of Biscay pelagic ecosystem
Doray, M., Petitgas, P., Romagnan, J., Huret, M., Duhamel, E., Dupuy, C., Spitz, J., Authier, M., Sánchez, F., Berger, L., et al. (2017) · Progress In Oceanography · doi:10.1016/j.pocean.2017.09.015 · Cited by 80 · see citing works
Basilone, G., Bonanno, A., Patti, B., Mazzola, S., Barra, M., Cuttitta, A., & McBride, R. S. (2013) · Fisheries Oceanography · doi:10.1111/fog.12024 · Cited by 79 · see citing works
Spawning stock, egg production and larval survival in relation to small pelagic fish recruitment
Somarakis, S., Tsoukali, S., Giannoulaki, M., Schismenou, E., & Nikolioudakis, N. (2018) · Marine Ecology Progress Series · doi:10.3354/meps12642 · Cited by 78 · see citing works
“Planque et al. (2007) separated the spawning habitat into potential, realized and successful to dis tin - guish between habitat components, (1) where the environmental conditions are suitable for spawning, (2) where spawning actually occurs and (3) from where successful recruitment has resulted,…”
BackgroundHabitat suitability modelling for sardine juveniles (Sardina pilchardus) in the Mediterranean Sea
Giannoulaki, M., Pyrounaki, M. M., Liorzou, B., Leonori, I., Valavanis, V. D., Tsagarakis, K., Bigot, J.-L., Roos, D., Felice, A. D., Campanella, F., et al. (2011) · Fisheries Oceanography · doi:10.1111/j.1365-2419.2011.00590.x · Cited by 71 · see citing works
“For this purpose, habitat suitability modelling that links species location information to environmental data (e.g. Guisan and Zimmermann, 2000; Francis et al., 2005; Planque et al., 2007) was applied.”
Pape, O. L., Delavenne, J., & Vaz, S. (2014) · Ocean & Coastal Management · doi:10.1016/j.ocecoaman.2013.10.018 · Cited by 67 · see citing works
“Planque et al. (2007) distinguished three types of habitats for given functions: potential, realized and effective.”
BackgroundWeber, E., & McClatchie, S. (2010) · Marine Ecology Progress Series · doi:10.3354/meps08544 · Cited by 70 · see citing works
“…variables, day of year and previous stock size, were important to include in the models to adjust for the fact that habitat could be suitable for spawning (i.e. theoretical spawning habitat; Planque et al. 2007), but spawning might not occur if fish were not available at the time of sampling.”
BackgroundInfluentialQuantile regression models for fish recruitment–environment relationships: four case studies
Planque, B., & Buffaz, L. (2007) · Marine Ecology Progress Series · doi:10.3354/meps07274 · Cited by 66 · see citing works
Self-citationHarada, A. E., Lindgren, E. A., Hermsmeier, M., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0134647 · Cited by 63 · see citing works
“However, while adult fish surveys provide insight into the variety of fish that inhabit an area, fish egg studies establish which species use the MPA and surrounding waters as a breeding ground by observing species that spawn in the region [11].”
BackgroundDynamic height: A key variable for identifying the spawning habitat of small pelagic fishes
Asch, R. G., & Checkley, D. M. (2012) · Deep Sea Research Part I Oceanographic Research Papers · doi:10.1016/j.dsr.2012.08.006 · Cited by 64 · see citing works
“Comparisons between CUFES and plankton nets have consistently demonstrated significant correlations between sampling methods (Checkley et al., 1997; Lo et al., 2001; Curtis, 2004; Planque et al., 2007).”
BackgroundBonanno, A., Giannoulaki, M., Barra, M., Basilone, G., Machias, A., Genovese, S., Михайлович, Г. С., Popov, S., Rumolo, P., Bitetto, M. D., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0101498 · Cited by 64 · see citing works
“Furthermore, lower values on the second PCA axis (explaining 19% of the variance) are linked to higher CHLsat, POC and BL temperature as well as to lower PED and depth, thus identifying coastal enriched areas that could be affected by the formation of a weak coastal upwelling.”
MethodInfluentialSpawning overlap of anchovy and sardine in the western North Pacific
Takasuka, A., Kubota, H., & Oozeki, Y. (2008) · Marine Ecology Progress Series · doi:10.3354/meps07514 · Cited by 62 · see citing works
Delphinid spatial distribution and abundance estimates over the shelf of the Bay of Biscay
Certain, G., Ridoux, V., Canneyt, O. V., et al. (2008) · ICES Journal of Marine Science · doi:10.1093/icesjms/fsn046 · Cited by 58 · see citing works
“The spatial analysis followed the same methodology as Planque et al. (2007).”
MethodCertain, G., Massé, J., Canneyt, O. V., et al. (2010) · Marine Ecology Progress Series · doi:10.3354/meps08932 · Cited by 55 · see citing works
Spawning of North Sea fishes linked to hydrographic features
Munk, P., Fox, C., Bolle, L. J., et al. (2009) · Fisheries Oceanography · doi:10.1111/j.1365-2419.2009.00525.x · Cited by 55 · see citing works
Reiss, C. S., Checkley, D. M., & Bograd, S. J. (2008) · Fisheries Oceanography · doi:10.1111/j.1365-2419.2008.00469.x · Cited by 53 · see citing works
Costoya, X., deCastro, M., Gómez-Gesteira, M., & Santos, F. (2015) · Journal of Marine Systems · doi:10.1016/j.jmarsys.2015.06.002 · Cited by 53 · see citing works
Historical trends and future distribution of anchovy spawning in the Bay of Biscay
Erauskin‐Extramiana, M., Álvarez, P., Arrizabalaga, H., Ibaibarriaga, L., Uriarte, A., Cotano, U., Santos, M., Ferrer, L., Cabré, A., Irigoien, X., et al. (2018) · Deep Sea Research Part II Topical Studies in Oceanography · doi:10.1016/j.dsr2.2018.07.007 · Cited by 50 · see citing works
Citores, L., Ibaibarriaga, L., Lee, D. ‐., Brewer, M., Santos, M., & Chust, G. (2020) · Ecological Modelling · doi:10.1016/j.ecolmodel.2019.108926 · Cited by 39 · see citing works
Huret, M., Sourisseau, M., Petitgas, P., et al. (2012) · Journal of Marine Systems · doi:10.1016/j.jmarsys.2012.02.009 · Cited by 49 · see citing works
“Specifically the hindcast maps can be used to derive fish habitats (Planque et al. 2007) from statistical regression of eggs or adult field distribution on environment covariates.”
Self-citationBonanno, A., Barra, M., Basilone, G., Genovese, S., Rumolo, P., Михайлович, Г. С., Popov, S., Nardelli, B. B., Iudicone, D., Procaccini, G., et al. (2016) · Fisheries Oceanography · doi:10.1111/fog.12166 · Cited by 48 · see citing works
“…et al., 1999; Cuttitta et al., 2003; Bonanno et al., 2006, 2013; Basilone et al., 2013), and the adult stages (Paramo et al., 2003; Patti et al., 2004; Basilone et al., 2006; Santojanni et al., 2006; Ganias et al., 2007; Planque et al., 2007; Tsagarakis et al., 2008; D’Elia et al., 2009).”
BackgroundDoray, M., Petitgas, P., Huret, M., et al. (2017) · Progress In Oceanography · doi:10.1016/j.pocean.2017.12.004 · Cited by 49 · see citing works
“Previous studies have shown that bottom temperature is more relevant than surface temperature for characterising small pelagic fish spawning (Planque et al., 2007) or adult (Petitgas et al., 2014, Doray et al., this volume-b) habitats during spring.”
BackgroundBaker, M. R., Matta, M. E., Beaulieu, M., Paris, N., Huber, S., Graham, O., Pham, T. D., Sisson, N. B., Heller, C., Witt, A., et al. (2019) · Marine Ecology Progress Series · doi:10.3354/meps12897 · Cited by 47 · see citing works
Grüss, A., Thorson, J. T., Sagarese, S. R., et al. (2017) · Fisheries Research · doi:10.1016/j.fishres.2017.04.006 · Cited by 47 · see citing works
Schismenou, E., Giannoulaki, M., Valavanis, V. D., & Somarakis, S. (2008) · Hydrobiologia · doi:10.1007/s10750-008-9502-1 · Cited by 46 · see citing works
“The term ‘‘potential spawning habitat,’’ (PSH) has been recently defined by Planque et al. (2007).”
BackgroundMethodInfluentialLife-cycle spatial patterns of small pelagic fish in the Northeast Atlantic
Petitgas, P. (. ). (2010) · Socio-Environmental Systems Modeling · doi:10.17895/ices.pub.5408 · Cited by 46 · see citing works
Brunel, T., van Damme, C. J. G., Samson, M. A., & Dickey‐Collas, M. (2017) · Fisheries Oceanography · doi:10.1111/fog.12242 · Cited by 44 · see citing works
Physical drivers of phytoplankton production in the southern Benguela upwelling system
Lamont, T., Barlow, R. G., & Kyewalyanga, M. S. (2014) · Deep Sea Research Part I Oceanographic Research Papers · doi:10.1016/j.dsr.2014.03.003 · Cited by 42 · see citing works
Loots, C., Vaz, S., Planque, B., et al. (2009) · ICES Journal of Marine Science · doi:10.1093/icesjms/fsp238 · Cited by 42 · see citing works
“This lesser importance of non-persistence of the environment contrasts with the results of most studies based on habitat modelling (Koubbi et al., 2003, 2006; Loots et al., 2007; Planque et al., 2007; Vaz et al., 2008).”
ResultSelf-citationFuruichi, S., Yasuda, T., Kurota, H., Yoda, M., Suzuki, K., Takahashi, M., & Fukuwaka, M. (2019) · Marine Ecology Progress Series · doi:10.3354/meps13169 · Cited by 40 · see citing works
Morales, C. E., & Anabalón, V. (2011) · Progress In Oceanography · doi:10.1016/j.pocean.2011.07.004 · Cited by 41 · see citing works
Asch, R. G., & Erisman, B. (2018) · Diversity and Distributions · doi:10.1111/ddi.12809 · Cited by 39 · see citing works
Evolution of upper layer temperature in the Bay of Biscay during the last 40 years
Michel, S., Vandermeirsch, F. O., & Lorance, P. (2009) · Aquatic Living Resources · doi:10.1051/alr/2009054 · Cited by 40 · see citing works
“Lastly, in the pelagic realm, anchovy (Engraulis encrasicolus) and, to a lesser extent, sardine (Sardina pilchardus) spawning habitats were shown to be mainly related to temperature conditions (Planque et al. 2007).”
BackgroundDelineating recurrent fish spawning habitats in the North Sea
Lelièvre, S., Vaz, S., Martin, C. S., & Loots, C. (2014) · Journal of Sea Research · doi:10.1016/j.seares.2014.03.008 · Cited by 39 · see citing works
Palialexis, A., Georgakarakos, S., Karakassis, I., et al. (2011) · Hydrobiologia · doi:10.1007/s10750-011-0673-9 · Cited by 39 · see citing works
“…variables and species presence (Amara et al., 2004; Giannoulaki et al., 2008; Lefkaditou et al., 2008; Martin et al., 2008), identifying species essential habitats (Planque et al., 2007) and forecasting how species distribution may be affected by climate changes (Siapatis et al., 2008).”
BackgroundPolitikos, D. V., Huret, M., & Petitgas, P. (2015) · Ecological Modelling · doi:10.1016/j.ecolmodel.2015.06.036 · Cited by 38 · see citing works
“Individual fish behaviour is controlled by a diversity of external (environmental cues, density dependent processes, inter-specific relations) and internal factors (physiology, sociability, age) (Planque et al., 2011).”
BackgroundGigliotti, E., Gherardi, D. F. M., Páes, E. T., de Souza, R. B., & Katsuragawa, M. (2010) · Journal of Fish Biology · doi:10.1111/j.1095-8649.2010.02802.x · Cited by 39 · see citing works
Sardine potential habitat and environmental forcing off western Portugal
Zwolinski, J. P., Oliveira, P. B., Quintino, V., & Stratoudakis, Y. (2010) · ICES Journal of Marine Science · doi:10.1093/icesjms/fsq068 · Cited by 37 · see citing works
“As a result, understanding the environmental conditions that drive the distribution of SPF by defining their potential habitat requires information over large spatial and temporal scales (Mackinson et al., 1999; Planque et al., 2007).”
BackgroundFurey, N. B., & Rooker, J. R. (2012) · Journal of Sea Research · doi:10.1016/j.seares.2012.08.007 · Cited by 36 · see citing works
Environmental conditions conducive to anchovy (Engraulis encrasicolus) spawning in the Adriatic Sea
Zorica, B., Vilibić, I., Keč, V. Č., et al. (2012) · Fisheries Oceanography · doi:10.1111/fog.12002 · Cited by 36 · see citing works
Takasuka, A., Kuroda, H., Okunishi, T., et al. (2014) · Fisheries Oceanography · doi:10.1111/fog.12065 · Cited by 34 · see citing works
Huret, M., Bourriau, P., Doray, M., Gohin, F., & Petitgas, P. (2017) · Progress In Oceanography · doi:10.1016/j.pocean.2017.07.007 · Cited by 32 · see citing works
Giannoulaki, M., Valavanis, V. D., Palialexis, A., et al. (2008) · Hydrobiologia · doi:10.1007/s10750-008-9498-6 · Cited by 34 · see citing works
“Defining the potential habitat of a species practically means determining the combination of those environmental factors that constitute suitable conditions for its survival (Guisan & Zimmermann, 2000; Planque et al., 2007).”
BackgroundMapping plankton distribution in the Bay of Biscay during three consecutive spring surveys
Zarauz, L., Irigoien, X., Urtizberea, A., et al. (2007) · Marine Ecology Progress Series · doi:10.3354/meps06970 · Cited by 33 · see citing works
“In marine systems, statistical modelling has been applied mainly to fish distributions (Planque et al. 2007, Beare & Reid 2002), fish egg distributions (Augustin et al. 1998, Stratoudakis et al. 2003) and plankton species distribution (Beare et al. 2000); however, the potential of GAMs to describe…”
MethodZarauz, L., Irigoien, X., & Fernandes, J. A. (2008) · Journal of Plankton Research · doi:10.1093/plankt/fbn049 · Cited by 33 · see citing works
“, 2002) and marine systems (Augustin et al., 1998; Stratoudakis et al., 2003; Beare et al., 2000; Planque et al., 2007).”
BackgroundMethodInfluentialZarrad, R., Alemany, F., Rodríguez, J. M., Jarboui, O., López‐Jurado, J. L., & Balbín, R. (2012) · Journal of Sea Research · doi:10.1016/j.seares.2012.08.001 · Cited by 32 · see citing works
Espinasse, B., Carlotti, F., Zhou, M., et al. (2014) · Marine Ecology Progress Series · doi:10.3354/meps10803 · Cited by 32 · see citing works
“Continental margins are generally highly productive areas compared to the open sea and provide the main spawning habitats for small pelagic fishes (Palomera et al. 2007, Planque et al. 2007, Bellido et al. 2008, Nicolle et al. 2009).”
Giannoulaki, M., Pyrounaki, M. M., Bourdeix, J.-H., Abdallah, L. B., Bonanno, A., Basilone, G., Iglesias, M., Ventero, A., Felice, A. D., Leonori, I., et al. (2017) · Frontiers in Marine Science · doi:10.3389/fmars.2017.00230 · Cited by 31 · see citing works
“Quantifying the distribution of a species along environmental gradients (e.g., Guisan and Zimmermann, 2000; Planque et al., 2007; Bellido et al., 2008; Weber and McClatchie, 2010; Giannoulaki et al., 2013) can provide habitat maps presenting geographic areas where environmental variables, in the…”
BackgroundLezama‐Ochoa, A., Ballón, M., Woillez, M., et al. (2011) · Marine Ecology Progress Series · doi:10.3354/meps09318 · Cited by 31 · see citing works
“Small clupei - formes, especially young anchovies and sardines, prefer coastal habitats and river mouths (Motos et al. 1996, Planque et al. 2007), which has been related to the favourable conditions (increased biological production) produced by the high river runoff (Gironde, Loire and Adour; Fig.”
BackgroundRaybaud, V., Bacha, M., Amara, R., & Beaugrand, G. (2017) · ICES Journal of Marine Science · doi:10.1093/icesjms/fsx003 · Cited by 30 · see citing works
“For example, in the areas where the ENM forecasts an increase of the populations by the end of the century (i.e. the Bay of Biscay, the Celtic Sea, the English Channel, the North Sea, and the Norwegian Sea), the increase in anchovy could be counterbalanced by a lack of adequate preys or an excessive concentration of p…”
BackgroundResultInfluentialMarchand, M. L., Hattab, T., Niquil, N., Albouy, C. P., Loc’h, F. L., & Lasram, F. B. R. (2020) · Marine Ecology Progress Series · doi:10.3354/meps13401 · Cited by 31 · see citing works
Machu, É., Ettahiri, O., Kifani, S., et al. (2009) · Fisheries Oceanography · doi:10.1111/j.1365-2419.2009.00511.x · Cited by 30 · see citing works
Huret, M., Lebigre, C., Iriondo, M., Montes, I., & Estonba, A. (2020) · Fisheries Research · doi:10.1016/j.fishres.2020.105619 · Cited by 29 · see citing works
Castillo, R., Rosa, L. D., Díaz, W. G., et al. (2018) · Fisheries Oceanography · doi:10.1111/fog.12419 · Cited by 28 · see citing works
Bachiller, E., Cotano, U., Ibaibarriaga, L., Santos, M., & Irigoien, X. (2015) · Marine Biology · doi:10.1007/s00227-015-2674-0 · Cited by 27 · see citing works
Somarakis, S., Ramfos, A., Palialexis, A., & Valavanis, V. D. (2011) · Hydrobiologia · doi:10.1007/s10750-011-0677-5 · Cited by 28 · see citing works
“…timing and duration of spawning (e.g., Ganias et al., 2007; Stratoudakis et al., 2007), geographical distribution of spawning habitats (e.g., Planque et al., 2007; Bernal et al., 2007), fecundity and spawning Guest editors: Graham J. Pierce, Vasilis D. Valavanis, M. Begoña Santos & Julio…”
BackgroundHöffle, H., Solemdal, P., Korsbrekke, K., et al. (2014) · ICES Journal of Marine Science · doi:10.1093/icesjms/fsu126 · Cited by 28 · see citing works
Habitat distribution model for European flounder juveniles in the Venice lagoon
Zucchetta, M., Franco, A., Torricelli, P., & Franzoi, P. (2010) · Journal of Sea Research · doi:10.1016/j.seares.2009.12.003 · Cited by 27 · see citing works
Setting new thermal standards for transitional and coastal (TraC) waters
Wither, A., Bamber, R. N., Colclough, S., et al. (2012) · Marine Pollution Bulletin · doi:10.1016/j.marpolbul.2012.05.019 · Cited by 27 · see citing works
Kanstinger, P., & Peck, M. A. (2009) · Scientia Marina · doi:10.3989/scimar.2009.73s1141 · Cited by 27 · see citing works
“little is known about the impact of salinity on spawning and the larvae of sardine (Planque et al., 2007).”
BackgroundInfluentialSchismenou, E., Palmer, M., Giannoulaki, M., et al. (2016) · Fisheries Oceanography · doi:10.1111/fog.12158 · Cited by 27 · see citing works
Guerrero, E., Marrodán, A., Sabatés, A., et al. (2016) · Scientia Marina · doi:10.3989/scimar.04452.03a · Cited by 24 · see citing works
“…GAMs, the best-fitting ones were selected based on the un-biased risk estimator (UBRE), the percentage of deviance explained, the smooth confidence region and the spread of the residual in the model validation step (Wood and Augustin 2002, Planque et al. 2007, Zuur et al. 2009, Silva et al. 2014).”
MethodPan-Arctic suitable habitat model for Greenland halibut
Vihtakari, M., Hordoir, R., Treble, M. A., et al. (2021) · ICES Journal of Marine Science · doi:10.1093/icesjms/fsab007 · Cited by 24 · see citing works
“For marine fishes, SHMs have been used to investigate factors controlling species distributions at seasonal and interannual time scales (Planque et al., 2007; Loots et al., 2010), investigate possible climate-induced shifts in species distributions (Wisz et al.”
BackgroundGokturk, E., Bartlett, B., Erisman, B., et al. (2022) · Marine Ecology Progress Series · doi:10.3354/meps14165 · Cited by 23 · see citing works
“Population size will determine what percentage of suitable ocean spawning habitat is used (Planque et al. 2007).”
BackgroundModelling Habitat Distribution of Mediterranean Coastal Wetlands: The Ebro Delta as Case Study
Benito, X., Trobajo, R., & Ibáñez, C. (2014) · Wetlands · doi:10.1007/s13157-014-0541-2 · Cited by 22 · see citing works
“In case of spatial overlap between habitats, the models were ranked on the basis of explained deviance (0– 100 %; the higher the better) (Planque et al. 2007).”
BackgroundSilva, T., Gíslason, Á., Licandro, P., et al. (2014) · Journal of Plankton Research · doi:10.1093/plankt/fbu050 · Cited by 20 · see citing works
Lima, A. R. A., Garrido, S., Riveiro, I., Rodrigues, D., Angélico, M. M., Gonçalves, E. J., Peck, M. A., & Silva, G. (2022) · Frontiers in Marine Science · doi:10.3389/fmars.2022.956654 · Cited by 20 · see citing works
“On the other hand, the warming of winter temperatures, decreases the suitability for spawning off northern Portugal and Bay of Biscay, and around UK.”
BackgroundInfluentialAmbelu, A. B., Mekonen, S., Koch, M., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0112221 · Cited by 20 · see citing works
“Predictive modelling is one of the most essential steps in the development of a standard habitat assessment protocol that links organisms and habitat information to environmental data [11–13].”
Schismenou, E., Giannoulaki, M., Tsiaras, K. P., et al. (2014) · Marine Ecology Progress Series · doi:10.3354/meps10958 · Cited by 20 · see citing works
“…(SST, °C), and salinity (SSS), both measured at 3 m depth; potential energy deficit (PED, J), a measure of vertical density stratification (Planque et al. 2007); integrated (0–100 m) chl a (CHLA, mg m–2); integrated (0–100 m) mesozooplankton (MESOZ, mg C m–2) and integrated (0–100 m)…”
BackgroundD'Elbee, J., Castège, I., Hémery, G., et al. (2009) · Continental Shelf Research · doi:10.1016/j.csr.2008.12.023 · Cited by 20 · see citing works
“…studies encompass only a few, especially commercially important, species such as the European hake, European anchovy, European pilchard and Atlantic horse mackerel or Atlantic mackerel (Sola et al., 1990; Motos et al., 1996; Alvarez et al., 2001; Coombs et al., 2001, 2004 and Planque et al., 2007).”
BackgroundMoraes, L. E. D. S., Gherardi, D. F. M., Katsuragawa, M., et al. (2012) · ICES Journal of Marine Science · doi:10.1093/icesjms/fss061 · Cited by 20 · see citing works
Zhang, W., Yu, H., Ye, Z., Tian, Y., Liu, Y., Li, J., Xing, Q., & Jiang, Y. (2020) · Fisheries Oceanography · doi:10.1111/fog.12523 · Cited by 20 · see citing works
Quinci, E. M., Torri, M., Cuttitta, A., & Patti, B. (2022) · Water · doi:10.3390/w14091400 · Cited by 20 · see citing works
Vulnerability of spawning aggregations of a coastal marine fish to a small-scale fishery
Erisman, B., Cota-Nieto, J. J., Moreno‐Báez, M., & Aburto‐Oropeza, O. (2017) · Marine Biology · doi:10.1007/s00227-017-3135-8 · Cited by 19 · see citing works
“These results indicate that the phenology of spawning in barred sand bass is consistent throughout its geographic range, with spawning associated with an absolute thermal range rather than with a temperature gradient (Planque et al. 2007; Pörtner and Peck 2010).”
BackgroundFuji, T., KURITA, Y., Suyama, S., et al. (2020) · Fisheries Oceanography · doi:10.1111/fog.12525 · Cited by 19 · see citing works
Gordó−Vilaseca, C., Pennino, M. G., Albo‐Puigserver, M., Wolff, M., & Marta Coll, M. (2021) · Marine Environmental Research · doi:10.1016/j.marenvres.2021.105381 · Cited by 19 · see citing works
Basilone, G., Ganias, K., Ferreri, R., D’Elia, M., Quinci, E. M., Mazzola, S., & Bonanno, A. (2015) · Fisheries Research · doi:10.1016/j.fishres.2015.01.017 · Cited by 17 · see citing works
Randall, L. L., Smith, B. L., Cowan, J. H., & Rooker, J. R. (2014) · Hydrobiologia · doi:10.1007/s10750-014-2151-7 · Cited by 18 · see citing works
“less abundant and have more restricted distributions (Planque et al., 2007; Rooker et al., 2012).”
BackgroundWang, D., Wan, R., Li, Z., et al. (2021) · Frontiers in Marine Science · doi:10.3389/fmars.2021.766616 · Cited by 17 · see citing works
Future distribution of early life stages of small pelagic fishes in the northwestern Mediterranean
Maynou, F., Sabatés, A., Ramírez‐Romero, E., Catalán, I. A., & Raya, V. (2020) · Climatic Change · doi:10.1007/s10584-020-02723-4 · Cited by 16 · see citing works
Baldé, B. S., Brehmer, P., Faye, S., & Diop, P. (2022) · Fishes · doi:10.3390/fishes7040178 · Cited by 16 · see citing works
Schismenou, E., Tsiaras, K. P., Kourepini, M., Lefkaditou, E., Triantafyllou, G., & Somarakis, S. (2012) · Marine Ecology Progress Series · doi:10.3354/meps10178 · Cited by 16 · see citing works
Li, M., Xu, Y., Sun, M., Li, J., Zhou, X., Chen, Z., & Zhang, K. (2023) · Biology · doi:10.3390/biology12070946 · Cited by 16 · see citing works
Inter-annual variability of North Sea plaice spawning habitat
Loots, C., Vaz, S., Koubbi, P., et al. (2010) · Journal of Sea Research · doi:10.1016/j.seares.2010.01.007 · Cited by 15 · see citing works
“The potential habitat distribution is hence less variable in time than in space, as expected (Planque et al., 2007).”
BackgroundSelf-citationSpring habitats of small pelagic fish communities in the Bay of Biscay
Doray, M., Hervy, C., Huret, M., et al. (2017) · Progress In Oceanography · doi:10.1016/j.pocean.2017.11.003 · Cited by 15 · see citing works
Meng, W., Gong, Y., Wang, X., Tong, J., Han, D., Chen, J., & Wu, J. (2021) · Fishes · doi:10.3390/fishes6040048 · Cited by 15 · see citing works
“The smaller the AIC, the better the fitting ability of the model [28].”
BackgroundZhang, W., Ye, Z., Tian, Y., et al. (2022) · Fisheries Oceanography · doi:10.1111/fog.12595 · Cited by 14 · see citing works
Cubillos, L. A., Gabriel Claramunt, Q., & Castro, L. R. (2014) · Fisheries Research · doi:10.1016/j.fishres.2013.12.003 · Cited by 14 · see citing works
- Authors
- PLANQUE, B., BELLIER, E., & LAZURE, P.
- Affiliations
- Ifremer (FR)
- Corresponding author
- PLANQUE, BENJAMIN
- Venue
- Fisheries Oceanography
- Publisher
- Wiley
- Published
- 2006-10-25
- Volume
- 16
- Issue
- 1
- Pages
- 16-30
- ISSN
- 1054-6006 (ISSN-L)
- 1365-2419
- OpenAlex
- W1989989422
- Semantic Scholar
- fed6b7a7c0bdb0a57518f9ad49a1723e26462085
- Cited by
- 184
- References
- 50
- Citations by year
- 2026: 8 · 2025: 16 · 2024: 9 · 2023: 4 · 2022: 11 · 2021: 6 · 2020: 12 · 2019: 5 · 2018: 7 · 2017: 14 · 2016: 10 · 2015: 8 · 2014: 17 · 2013: 5 · 2012: 13
- FWCI
- 7.00
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Fisheries Oceanography (publishedVersion)
- HAL (Le Centre pour la Communication Scientifique Directe) (submittedVersion)
- Institutional Archive of Ifremer (French Research Institute for Exploitation of the Sea) (submittedVersion)
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Marine and fisheries research
- Physical Sciences › Environmental Science › Nature and Landscape Conservation › Fish Ecology and Management Studies
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Oceanographic and Atmospheric Processes
- Keywords
- sardine, anchovy, Sardina pilchardus, Engraulis encrasicolus, hydrographic conditions, bottom water temperature, mixed layer depth, salinity, spawning seasonality, Bay of Biscay, Northeast Atlantic
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-16.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-16.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
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