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 General

 Model List

Comparing NFT Models

Comparing NFT Models

 

A variety of fisheries stock assessment models are available from the NOAA Fisheries Toolbox, each of which uses a different type of estimation method to produce results. 

 

Below are two tables to help you decide which model may best fit your needs. The first table gives a rough estimation of how widely model methods have been tested and/or evaluated. The second table compares some of the major features among each model.

 

If you would like a more in-depth comparison of model capabilities and methods, you can always download any of the models you are interested in and evaluate them individually side by side.

 

 

Core vs. Research Models

 

NFT models can be divided into to broad categories: Core Applications and Research Models. Core Applications are based on proven methods used extensively in peer reviewed stock assessments. Research Models have been tested within the NMFS organization but have not as yet been subjected to peer reviewed stock assessments.

 

Core Applications

Research Models

 

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Comparing Model Features

 

The table below compares the ability of NFT models to handle the following features:

 

Feature

Model

Data / Observation Error

D

C

A

C

S
E

I

N

E

 

A
I
M
A
S
P
I
C
C
S
A
S
C
A
L
E
V
P
A
V
P
A
2
B
O
X
S
T
A
T
C
A
M
A
S
A
P
S
S
3

Total catch (landings+discards)

yes   yes Yes yes yes
yes yes yes yes

Catch at age (CAA)







Yes Yes Yes Yes Yes

Catch at length (CAL)






yes



yes

Address variation in CAA or CAL


yes





yes yes yes

Age specific indices of abundance for tuning







yes yes yes yes yes

Age-aggregated tuning indices



Yes Yes Yes Yes Yes Yes Yes Yes yes

Tag-recapture








yes

yes

Process / Model Specification

D

C

A

C

S
E

I

N

E

A
I
M
A
S
P
I
C
C
S
A
S
C
A
L
E
V
P
A
V
P
A
2
B
O
X
S
T
A
T
C
A
M
A
S
A
P
S
S
3

Stock recruitment function










yes yes

Sexual dimorphism in growth rates






yes
yes

yes

Spatial heterogeneity








yes

yes

Incorporate long term historical landings

yes

Yes
yes

yes yes yes

Handle gaps in age or length information

  yes


yes

yes yes yes

Multiple fleets









yes yes yes

Handle differences between sexes






yes
yes

yes

Automatic retrospective analyses

    yes yes

yes
yes yes

Independently estimate temporal changes in catchability for surveys










yes yes

Address variations in biological sampling intensity over time









yes yes yes

Consider measurement error for individual times series observations










yes yes

Uncertainty / Forecasting / BRPs

D

C

A

C

S
E

I

N

E

A
I
M
A
S
P
I
C
C
S
A
S
C
A
L
E
V
P
A
V
P
A
2
B
O
X
S
T
A
T
C
A
M
A
S
A
P
S
S
3

MCMC









yes yes yes

Bootstrap

    yes yes yes
yes yes

yes

Estimation of BRP for F

    yes yes



yes yes yes

Estimation of BRP for SSB




yes



yes yes yes

Linkage to external/internal forecasting program

    yes yes

yes

yes yes

Model Complexity

D

C

A

C

S
E

I

N

E

A
I
M
A
S
P
I
C
C
S
A
S
C
A
L
E
V
P
A
V
P
A
2
B
O
X
S
T
A
T
C
A
M
A
S
A
P
S
S
3

Model Complexity

1

1

1

1

1

2

2

3

3

3

4

 (1=Low, 2=Medium, 3=High, 4=Very High)

 

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NOAA Fisheries Toolbox Version 3.1

website last modified May 16, 2016

 
 

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