Overview on the main aspects of BEMTOOL

1. BEMTOOL PLATFORM
Integrated Bio-Economic Modelling TOOLs
COISPA Tecnologia & Ricerca
Stazione Sperimentale per lo Studio
delle Risorse del Mare
Isabella Bitetto
Maria Teresa Facchini
Maria Teresa Spedicato
Giuseppe Lembo
BEMTOOL has been initially developed in the MAREA project
(MARE/2009/05-Lot 1; Specific contract n.4)
Overview on the main aspects of BEMTOOL

2. The model manage multiple stocks,
several fleets and their interaction
MIXED FISHERIES
stock life history, fleet's
impact, fisheries socio-ec
Multidimension
BEMTOOL - Simulation approach
The state of the stocks drives the management measures, based on
changes of activity and exploitation pattern of the different fleets…

3. BEMTOOL Structure
is subdivied
Modules
Each module
 Biological
 Impact (F, f, etc..)
 Economical
 Management/Harvest Rules
in components
MultiCriteria Decision Analysis
6 interlinked modules
Modules
Fleet behaviour

4. BEMTOOL - components
BEMTOOL modules are structured in components
•Size/age dselectivity effects,
•discards
•Economic performance of fleet segment/metier
•Social effects
•Reference points
•Management measures
The model integrates fishermen behaviour in terms of investments/
disinvestments as a reaction to changes of profits.

5. FLOWS of information in BEMTOOL
Simulator: ALADYM
Age length bAsed
Dynamic Model
(Lembo et al., 2009)
Economic
Module
Landings
and
discards
Economic
data
Catch and
effort data
Outputs of the
Assessments: F
by age and R
VBGF; M; Mat; S-R

6. Uncertainty on the recruitment
YES NO
Integrated
5 percentiles calculation
For biological and pressure
indicators all years
5 percentiles
calculation
For biological ,
pressure and
economic indicators
first year
5 percentiles calculation
For Economic indicators with
percentiles
ERROR
distribution
Recruitment (scalar value)
Change effort
(median profit)

7. BEMTOOL Predictions
Uncertainty propagation in the forecasts at indicator level

8. BEMTOOL Predictions
Uncertainty propagation in the forecasts at indicator level

9. BEMTOOL Predictions
Uncertainty propagation in the forecasts at indicator level

10. Kobe plot
Trajectories of the
time series from
predictions.
Probability of the
indicator SSB to be
lower than the
reference point
Risk evaluation for SSB
BEMTOOL RISK EVALUATION

11. Projects/case studies using BEMTOOL
Main project/case studies in which the BEMTOOL platform
has been used for predictions of management scenarios
•LANDMED Project (MAREA - Specific project 11 ) - Implications of the
implementation of the landing obligations provisions in small pelagic
fisheries in Mediterranean. (resp. P. Sartor)
•SEDAF Project (MAREA – Specific project 10) - "Improved knowledge of the
main socio-economic aspects related to the most important fisheries in the
Adriatic Sea” (resp. P. Lembo)
•Project “Study on the evaluation of specific management scenarios for the
preparation of multiannual management plans in the Mediterranean and
the Black Sea” CALL MARE/2014/27. Lead COISPA (resp. M.T. Spedicato).