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COMPREHENSIVE SIMULATION MODEL OF A ...

SEIJO G., JUAN CARLOS.

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COMPREHENSIVE SIMULATION MODEL OF A TROPICAL DEMERSAL FISHERY: RED GROUPER (EPINEPHELUS MORIO) OF THE YUCATAN CONTINENTAL SHELF (MEXICO).

Record Type:	Language materials, printed : Monograph/item
Title/Author:	COMPREHENSIVE SIMULATION MODEL OF A TROPICAL DEMERSAL FISHERY: RED GROUPER (EPINEPHELUS MORIO) OF THE YUCATAN CONTINENTAL SHELF (MEXICO)./
Author:	SEIJO G., JUAN CARLOS.
Description:	224 p.
Notes:	Source: Dissertation Abstracts International, Volume: 47-12, Section: B, page: 4721.
Contained By:	Dissertation Abstracts International47-12B.
Subject:	Agriculture, Forestry and Wildlife. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=8707188

COMPREHENSIVE SIMULATION MODEL OF A TROPICAL DEMERSAL FISHERY: RED GROUPER (EPINEPHELUS MORIO) OF THE YUCATAN CONTINENTAL SHELF (MEXICO).
SEIJO G., JUAN CARLOS.

COMPREHENSIVE SIMULATION MODEL OF A TROPICAL DEMERSAL FISHERY: RED GROUPER (EPINEPHELUS MORIO) OF THE YUCATAN CONTINENTAL SHELF (MEXICO). - 224 p.

Source: Dissertation Abstracts International, Volume: 47-12, Section: B, page: 4721.

Thesis (Ph.D.)--Michigan State University, 1986.

Management of renewable resources such as ocean fisheries, is a complex process requiring understanding of resource biology and ecology as well as the economic and institutional factors affecting behavior of fishermen as resource users.Subjects--Topical Terms:

783690
Agriculture, Forestry and Wildlife.

COMPREHENSIVE SIMULATION MODEL OF A TROPICAL DEMERSAL FISHERY: RED GROUPER (EPINEPHELUS MORIO) OF THE YUCATAN CONTINENTAL SHELF (MEXICO).
LDR:03004nam 2200253 a 45 001 934448
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035 $a (UnM)AAI8707188
035 $a AAI8707188
040 $a UnM $c UnM
100 1 $a SEIJO G., JUAN CARLOS. $3 1258151
245 1 0 $a COMPREHENSIVE SIMULATION MODEL OF A TROPICAL DEMERSAL FISHERY: RED GROUPER (EPINEPHELUS MORIO) OF THE YUCATAN CONTINENTAL SHELF (MEXICO).
300 $a 224 p.
500 $a Source: Dissertation Abstracts International, Volume: 47-12, Section: B, page: 4721.
502 $a Thesis (Ph.D.)--Michigan State University, 1986.
520 $a Management of renewable resources such as ocean fisheries, is a complex process requiring understanding of resource biology and ecology as well as the economic and institutional factors affecting behavior of fishermen as resource users.
520 $a Different approaches have been used to aid decision-making through modelling efforts such as: the surplus yield approach, the bioeconomic approach and the dynamic pool approach. It is also recognized that the approaches mentioned above involve only a partial conceptualization of the fishery resource system. Therefore, the major objective of this dissertation was the development of a comprehensive simulation model integrating biological, economic, and institutional factors. The systems simulation methodology was applied to model a tropical demersal fishery: red grouper (Epinephelus morio) of the Yucatan continental shelf. The following steps were taken: (1) identification of the fishery system, (2) design of causal and block diagrams to conceptualize the mathematical model, (3) data collection for parameter estimation and curve fitting, (4) building the mathematical and computer model, (5) conducting stability and numerical error analysis, (6) validating the model, (7) conducting sensitivity analysis, (8) applying Monte Carlo analysis to estimate confidence intervals for model inputs and important performance variables, and (9) conducting simulation experiments to observe the impacts of alternative management strategies. In order to deal with the uncertainty inherent in ocean fisheries, random variables were generated with an exponentially autocorrelated probability density function. This modelling effort involved the design of a feedback loop to estimate population structure and recruitment over time. Concerning fishing effort, the distributed DELAY model was applied to model vessel entry and exit to the fishery. The comprehensive nature of the validated model allows for observing the dynamic behavior of performance variables such as fish biomass, fishery yield, net revenues of different types vessels, direct employment, availability of seafood in coastal communities and export earnings.
590 $a School code: 0128.
650 4 $a Agriculture, Forestry and Wildlife. $3 783690
650 4 $a Agriculture, Fisheries and Aquaculture. $3 1020913
690 $a 0478
690 $a 0792
710 2 0 $a Michigan State University. $3 676168
773 0 $t Dissertation Abstracts International $g 47-12B.
790 $a 0128
791 $a Ph.D.
792 $a 1986
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=8707188