Skip to content
GitLab
Menu
Projects
Groups
Snippets
Help
Help
Support
Community forum
Keyboard shortcuts
?
Submit feedback
Contribute to GitLab
Sign in
Toggle navigation
Menu
Open sidebar
julien veyssier
climprod
Commits
f690cd02
Commit
f690cd02
authored
Jan 21, 2016
by
julien veyssier
Browse files
small README change
parent
263a414e
Changes
1
Hide whitespace changes
Inline
Side-by-side
README.md
View file @
f690cd02
...
...
@@ -14,43 +14,43 @@ files in example_data/ are directly loadable in Climprod.
Here is a list of answers to go to the end of "select the appropriate model and fit it" with the
data file "EXAMPLE.CLI" :
*
Have there been changes in the fishing pattern during the period (effort allocation quota mesh-size ...)?
**
No
**
*
Is the fishing effort unit standardized and is the CPUE proportional to abundance?
**
Yes
**
*
Do time-lags and deviations from the stable age structure have negligible effects on production rate?
**
Yes
**
*
Does the data-set apply to a single stock?
**
No
**
*
Does the data-set apply to a sub-stock?
**
Yes
**
*
Is the sub-stock well isolated (i.e. with few exchanges) from others?
**
Yes
**
*
Do you think that the data-set covers periods both of overexploitation and of underexploitation?
**
No
**
*
Do you think that the data-set cover periods both of underexploitation and optimal exploitation?
**
Yes
**
*
Do you see any abnormal statistics in the statistical data table?
**
(see the second table in the Climprod frame) No
**
*
Is interannual variability too large?
**
No
**
*
Do you see outlier points?
**
No
**
*
Do you see outlier points?
**
No
**
*
Constantly increasing effort?
**
Yes
**
*
Are the two variables dependent?
**
No
**
*
Number of significantly exploited year-classes
**1**
*
Is the influence of fishing effort on CPUE more important than environmental influence?
**
Yes
**
*
Does this plot appear to be decreasing?
**
Yes
**
*
Does this plot look obviously linear?
**
No
**
*
Do you have any (additional) reason to expect highly unstable behaviour or collapse of the stock?
**
No
**
*
Did the stock already collapse or exhibit drastic decrease(s) in catches?
**
No
**
*
What is the life span of the species?
** 6**
*
Is the ratio (lifespan/number of exploited year-classes) lower than 2?
**
No
**
*
Is the single stock subdivided into various geographical sub-stocks (all must be exploited by the fleet)?
**
Don't know
**
*
Are there natural protected areas for the stock or constantly inacessible adult biomass?
**
Don't know
**
*
Are there one or several non negligible spawnings before recruitment?
**
Don't know
**
*
Is the fecundity of the species very low (sharks mammals etc.)?
**
No
**
*
Is there a strong instability in the cpue time series?
**
No
**
*
Does the environment influence:
**
abundance
**
*
May the stock present large fluctuations in CPUE when overexploited?
**
No
**
*
Does this plot look linear
**No**
*
Does this plot look monotonic?
**
Yes
**
*
Age at recruitment
**1**
*
Age at the begining of environmental influence
**0**
*
Age at the end of environmental influence
**1**
*
Is this an acceptable model?
**
Yes
**
*
Are there a good fit and no trend or strong autocorrelation in residuals?
**
Yes
**
*
Are there reasonable jackknife coefficient R2 (>65% recommanded) no extreme yearly coefficient and acceptable MSY graph
**
Yes
**
*
Have there been changes in the fishing pattern during the period (effort allocation quota mesh-size ...)?
__
No
__
*
Is the fishing effort unit standardized and is the CPUE proportional to abundance?
__
Yes
__
*
Do time-lags and deviations from the stable age structure have negligible effects on production rate?
__
Yes
__
*
Does the data-set apply to a single stock?
__
No
__
*
Does the data-set apply to a sub-stock?
__
Yes
__
*
Is the sub-stock well isolated (i.e. with few exchanges) from others?
__
Yes
__
*
Do you think that the data-set covers periods both of overexploitation and of underexploitation?
__
No
__
*
Do you think that the data-set cover periods both of underexploitation and optimal exploitation?
__
Yes
__
*
Do you see any abnormal statistics in the statistical data table?
__
(see the second table in the Climprod frame) No
__
*
Is interannual variability too large?
__
No
__
*
Do you see outlier points?
__
No
__
*
Do you see outlier points?
__
No
__
*
Constantly increasing effort?
__
Yes
__
*
Are the two variables dependent?
__
No
__
*
Number of significantly exploited year-classes
__1__
*
Is the influence of fishing effort on CPUE more important than environmental influence?
__
Yes
__
*
Does this plot appear to be decreasing?
__
Yes
__
*
Does this plot look obviously linear?
__
No
__
*
Do you have any (additional) reason to expect highly unstable behaviour or collapse of the stock?
__
No
__
*
Did the stock already collapse or exhibit drastic decrease(s) in catches?
__
No
__
*
What is the life span of the species?
__ 6__
*
Is the ratio (lifespan/number of exploited year-classes) lower than 2?
__
No
__
*
Is the single stock subdivided into various geographical sub-stocks (all must be exploited by the fleet)?
__
Don't know
__
*
Are there natural protected areas for the stock or constantly inacessible adult biomass?
__
Don't know
__
*
Are there one or several non negligible spawnings before recruitment?
__
Don't know
__
*
Is the fecundity of the species very low (sharks mammals etc.)?
__
No
__
*
Is there a strong instability in the cpue time series?
__
No
__
*
Does the environment influence:
__
abundance
__
*
May the stock present large fluctuations in CPUE when overexploited?
__
No
__
*
Does this plot look linear
__No__
*
Does this plot look monotonic?
__
Yes
__
*
Age at recruitment
__1__
*
Age at the begining of environmental influence
__0__
*
Age at the end of environmental influence
__1__
*
Is this an acceptable model?
__
Yes
__
*
Are there a good fit and no trend or strong autocorrelation in residuals?
__
Yes
__
*
Are there reasonable jackknife coefficient R2 (>65% recommanded) no extreme yearly coefficient and acceptable MSY graph
__
Yes
__
## TO DO
...
...
Write
Preview
Supports
Markdown
0%
Try again
or
attach a new file
.
Attach a file
Cancel
You are about to add
0
people
to the discussion. Proceed with caution.
Finish editing this message first!
Cancel
Please
register
or
sign in
to comment