Clarification of the .HLP and MODELxx.TXT files regarding the beginning and end of V influence

Explanations on the answer to the questions on the beginning and end of V influence when it occurs before spawing.

src/fr/ird/climprod/resources/help/BEGIN.HLP

 Age at the beginning of environmental influence (expressed in number of past year-classes, being them seasonal or annual)?
 
 Please select the appropriate age at which the influence of environment begins.
-Enter 0 if the influence begins before spawning, i.e., during gonad maturation. 
+If the influence begins before spawning, i.e., during gonad maturation 
+through an influence on the fecundity or the quality of the gamets, there are
+three possible answers. If sexual maturation and spawning occur during the same year
+(or season if you are using a seasonal step) answer 1 here and also 1 to the question 
+"Age at the end of the environmental influence?"). If the sexual maturation occurs
+mainly the year or season prior to spawning, answer 0 here and also 0 to the next
+question. When it occurs during both years or season, answer 0 and 1.
 
 If there is a single year-class per 12-month intervals, the age 1 limits are
-the spawning date (or birth date) and the first birthday, one
-year later. Age 2 limits are the first and the secondbirthday, etc.
+the spawning date (or birth date) and the first birthday, one year later.
+Age 2 limits are the first and the secondbirthday, etc.
 
-If there is are several year-classes per 12-month intervals, the age 1 limits
-are the spawning date (or birth date) of a given year-class and the spawning
+If there is are several seasonal year-classes per 12-month intervals, the age 1
+limits are the spawning date (or birth date) of a given year-class and the spawning
 date of the next year-class a few months later, a laps of time which corresponds
 to the time intervals of your dataset. Age 2 limits are one and two time intervals,
 etc.

src/fr/ird/climprod/resources/help/END.HLP

@@ -12,5 +12,5 @@ to the time intervals of your dataset. Age 2 limits are one and two time interva
 etc.
 
 If the total duration of environmental influence is lower than or equal to one time
-interval , enter the same number that you entered to answer the previous question,
+interval, enter the same number that you entered to answer the previous question,
 relative to the age at the beginning of environmental influence.

\ No newline at end of file

src/fr/ird/climprod/resources/models/MODEL32.TXT

@@ -5,10 +5,11 @@ linear model (Graham-Schaefer model) between the CPUE and the fishing
 effort E, and on the other hand a power relationship between the CPUE
 and the environmental variable V. This latter variable is supposed to
 influence both the catchability coefficient and the abundance of
-the stock (surplus production). Because the same model with a linear
-relationship between the CPUE and V (instead of power one) would result
-in an overparameterized model, this model can be also used as a proxy
-for this case due to the flexibility of the power relationship.
+the stock (surplus production) through a power relationship. Because
+the same model with a linear relationship between the CPUE and V (instead
+of power one) would result in an overparameterized model, this model can
+be also used as a proxy for this case due to the flexibility of the power
+relationship.
 
 Please note that theoretically such an equation can be used even when
 the influences of the environment on abundance and catchability have
@@ -19,7 +20,11 @@ In case of identical signs of environmental influences, the most
 favorable cases are obtained when the weighting factors are the 
 same for environmental influence on abundance and on catchability.
 This condition is fulfiled when the environmental influence on
-abundance concerns all the exploited year-classes.
+abundance concerns all the exploited year-classes. In such cases with n
+exploited year classes and a recruitment at age tr, the answers given 
+to the questions "Age at the beginning of environmental influence?"
+and "Age at the end of environmental influence?" must be tr and tr+n-1 
+respectively.
 
 After fitting the model, if the coefficient b is not significantly
 different from zero, this suggests that the influence of V could be

src/fr/ird/climprod/resources/models/MODEL33.TXT

@@ -7,8 +7,17 @@ and the environmental variable V when it influences the abundance
 and a power relationship  between the CPUE and V when it influences
 the catchability coefficient.
 
-This kind of non-monotonic equation is useful when the relationship between 
-CPUE and V is dome-shaped (optimal central value). The graph MSY versus V must 
+The most favorable cases for using this model are obtained when the
+weighting factors of V are the same for environmental influence on
+abundance and on catchability. This condition is fulfiled when the 
+environmental influence on abundance concerns all the exploited
+year-classes.In such cases with n exploited year classes and a recruitment
+at age tr, the answers given to the questions "Age at the beginning of
+environmental influence?" and "Age at the end of environmental influence?"
+must be tr and tr+n-1 respectively.
+
+The quadratic equation is useful when the relationship between the abundance
+and V is dome-shaped (optimal central value). The graph MSY versus V must 
 OBVIOUSLY be parabolic. If not, the data-set does not justify such a model
 and it is recommanded to the following model belonging to the same family:
 

src/fr/ird/climprod/resources/models/MODEL34.TXT

@@ -3,9 +3,9 @@ MODEL #34 CPUE = a V^b exp(c V^d E)
 This is a surplus production model combining on the one hand the exponential
 model (Fox model) between the CPUE and the fishing effort E, and on
 the other hand a power relationship  between the CPUE and the environmental
-variable V. This latter variable is supposed to influence both the
-catchability coefficient and the abundance of the stock (surplus
-production). Because the same model with a linear relationship between
+variable V. This latter variable is supposed to influence both the catchability
+coefficient and the abundance of the stock (surplus production) through a power
+relationship. Because the same model with a linear relationship between
 the CPUE and V (instead of power one) would result in an overparameterized
 model, this model can be also used as a proxy for this case due to the
 flexibility of the power relationship.
@@ -19,7 +19,12 @@ version of CLIMPROD. In case of identical signs of environmental
 influences, the most favorable cases are obtained when the weighting
 factors are the same for environmental influence on abundance and on 
 catchability. This condition is fulfiled when the environmental influence
-on abundance concerns all the exploited year-classes.
+on abundance concerns all the exploited year-classes. In such cases with n
+exploited year classes and a recruitment at age tr, the answers given 
+to the questions "Age at the beginning of environmental influence?"
+and "Age at the end of environmental influence?" must be tr and tr+n-1 
+respectively.
+
 
 If, after fitting the model, the coefficients b and d have opposite
 signs, this may correspond to two different cases: 

src/fr/ird/climprod/resources/models/MODEL35.TXT

@@ -7,7 +7,16 @@ environmental variable V when it influences the abundance, and a power
 relationship between the CPUE and V when it influences the catchability
 coefficient.
 
-This kind of non-monotonic equation is useful when the relationship between 
+The most favorable cases for using this model are obtained when the
+weighting factors of V are the same for environmental influence on
+abundance and on catchability. This condition is fulfiled when the 
+environmental influence on abundance concerns all the exploited
+year-classes.In such cases with n exploited year classes and a recruitment
+at age tr, the answers given to the questions "Age at the beginning of
+environmental influence?" and "Age at the end of environmental influence?"
+must be tr and tr+n-1 respectively.
+
+The quadratic equation is useful when the relationship between 
 the abundance and V is dome-shaped (optimal central value). The graph MSY 
 versus V must OBVIOUSLY be parabolic. If not, the data-set does not justify
 such a model and it is recommanded to use the following model belonging to the