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EconMult is a general
fleet Fleet may refer to: Vehicles *Fishing fleet *Naval fleet *Fleet vehicles, a pool of motor vehicles *Fleet Aircraft, the aircraft manufacturing company Places Canada * Fleet, Alberta, Canada, a hamlet England * The Fleet Lagoon, at Chesil Beach ...
model A model is an informative representation of an object, person or system. The term originally denoted the plans of a building in late 16th-century English, and derived via French and Italian ultimately from Latin ''modulus'', a measure. Models c ...
to be used in fisheries modelling. EconMult has been developed since 1991 as a part of the Multispecies management programme by the
Norwegian Research Council The Research Council (also the Research Council of Norway; no, Norges forskningsråd) is a Norwegian government agency that funds research and innovation projects. On behalf of the Government, the Research Council invests NOK 11,9 billion (2021) ...
at the
Norwegian College of Fishery Science The Norwegian College of Fishery Science (NCFS or in Norwegian NFH: Norges fiskerihøgskole) was established in 1972 as a joint responsibility of the three Norwegian universities in Tromsø, Bergen and Trondheim. In 1988, a new organisational stru ...
(
University of Tromsø The University of Tromsø – The Arctic University of Norway (Norwegian: ''Universitetet i Tromsø – Norges arktiske universitet''; Northern Sami: ''Romssa universitehta – Norgga árktalaš universitehta'') is a state university in Norway an ...
,
Norway Norway, officially the Kingdom of Norway, is a Nordic country in Northern Europe, the mainland territory of which comprises the western and northernmost portion of the Scandinavian Peninsula. The remote Arctic island of Jan Mayen and the ...
).


Model resolution and key variables

EconMult is a discrete time
simulation A simulation is the imitation of the operation of a real-world process or system over time. Simulations require the use of models; the model represents the key characteristics or behaviors of the selected system or process, whereas the s ...
model where the fleet activity is controlled by two variables: ''Number of vessels (v)'' (within each fleet segment) and ''Number of fishing days d)'' (within each time interval). ''The biomass units'' (''x'') are exogenous variables. The model resolution is determined by four structural variables: ''Number of fleet groups j)'', ''Number of targeted species n)'', ''Number of biomass units i)'' (which may be more than one within each targeted species) and ''Period length'' (time step in the simulation). The number of vessels and fishing days therefore are presented in fleet (columns)-targeted species (rows) matrices, while the biomass units is presented in a column vector (''X''):


Catch production

A ''fishery'' is in EconMult defined as a unique fleet/targeted species combination. The total catch within each fishery may include all biomass units defined in the model. Each biomass unit vessel catch is computed by Cobb–Douglas
production function In economics, a production function gives the technological relation between quantities of physical inputs and quantities of output of goods. The production function is one of the key concepts of mainstream neoclassical theories, used to define ...
, applying two input variables: ''number of fishing days d)'' and ''biomass unit x)''. In the matrix below each column represents a fleet group and each row a targeted species so each element in the matrix is a fishery and gives the vessel catch of the biomass units represented. The biomass units represent all the targeted species. Each catch is represented a Cobb–Douglas production equation as shown in the vessel yield matrix (Y): Y_ = \begin \begin q_ d_ v_^ x_^ \\ \vdots \\ q_ d_ v_^ x_^ \end & \cdots & \begin q_ d_ v_^ x_^ \\ \vdots \\ q_ d_ v_^ x_^ \end \\ \vdots & \ddots & \vdots \\ \begin q_ d_ v_^ x_^ \\ \vdots \\ q_ d_ v_^ x_^ \end & \cdots & \begin q_ d_ v_^ x_^ \\ \vdots \\ q_ d_ v_^ x_^ \end \end The corresponding fleet catches are Y = \begin \begin q_ d_ v_^ x_^ \\ \vdots \\ q_ d_ v_^ x_^ \end & \cdots & \begin q_ d_ v_^ x_^ \\ \vdots \\ q_ d_ v_^ x_^ \end \\ \vdots & \ddots & \vdots \\ \begin q_ d_ v_^ x_^ \\ \vdots \\ q_ d_ v_^ x_^ \end & \cdots & \begin q_ d_ v_^ x_^ \\ \vdots \\ q_ d_ v_^ x_^ \end \end ''α'' ''β'' and ''q'' are parameters, the first two known as output elasticities of effort and biomass respectively, ''q'' is often referred to as ''the catchability coefficient''. All the three parameters have the same dimension as the matrix above, e.g. the catchability coefficient: Q = \begin \begin q_ \\ \vdots \\ q_ \end & \cdots & \begin q_ \\ \vdots \\ q_ \end \\ \vdots & \ddots & \vdots \\ \begin q_ \\ \vdots \\ q_ \end & \cdots & \begin q_ \\ \vdots \\ q_ \end \end


See also

* EconSimp


Downloads

Mathematica packages related to EconMult:
Download EconMult.m and PopulationGrowth.m


External links


Project Home Page (not updated)
{{fishery science topics, expanded=science Fisheries science Conceptual models Natural resource management