Predicting ecology and fish yields in African reservoirs from preimpoundment physico-chemical data / Ecologie des réservoirs africains et leur rendement en poisson à partir de données psycho-chimiches réunies avant endiguement

dc.contributor.author Marshall, B.E.
dc.date.issued 1984
dc.date.lastModified 2020-12-03T13:06:26Z
dc.description.abstract This paper attempts to improve the predictive capabilities of preimpoundment studies, with special emphasis on fish yields. It relies heavily on empirical models based on a relatively limited data base. It is hoped that the results will show that meaningful predictions can be made from simple, easily obtained data, a consideration especially important in an era of limited manpower and financial resources. The models described in this paper have not always been based on African data. Those that have been will be affected by the general inaccuracy of the original information, especially that regarding fish yields from African reservoirs. Nevertheless, if these limitations are borne in mind, the models may still be valuable and will have served their purpose if they stimulate others to use and improve them. An appendix has been included to illustrate the use of the models described in the text in an actual preimpoundment situation.
dc.format.numberofpages 42
dc.identifier.isbn 9250021550
dc.identifier.issn 0379-5616
dc.identifier.url http://www.fao.org/3/ac676b/ac676b00.htm
dc.language.iso Bilingual
dc.relation.ispartofseries CIFAA Technical Paper (Committee of Inland Fisheries and Aquaculture for Africa)
dc.relation.number CIFA/T12
dc.rights.copyright FAO
dc.title Predicting ecology and fish yields in African reservoirs from preimpoundment physico-chemical data / Ecologie des réservoirs africains et leur rendement en poisson à partir de données psycho-chimiches réunies avant endiguement
dc.type Book (series)
fao.edition 1
fao.identifier.jobnumber AC676B
fao.identifier.uri http://www.fao.org/documents/card/en/c/6f446bb9-d387-56be-8f50-cd0f47cf3afa
fao.placeofpublication Rome, Italy ;
fao.subject.agrovoc Africa
fao.subject.agrovoc fishery production
fao.subject.agrovoc freshwater ecology
fao.subject.agrovoc hydrobiology
fao.subject.agrovoc water reservoirs
fao.subject.agrovoc production data
fao.visibilitytype PUBLIC KNOWLEDGE
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