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.creatorMarshall, B.E.
dc.date2024-07-24T10:40:31Z
dc.date2024-07-24T10:40:31Z
dc.date1984
dc.date2020-12-03T13:06:26Z
dc.date.accessioned2026-06-28T01:19:30Z
dc.descriptionThis 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.format42
dc.formattext/html
dc.identifier9250021550
dc.identifier0379-5616
dc.identifierhttps://openknowledge.fao.org/handle/20.500.14283/ac676b
dc.identifierhttp://www.fao.org/3/ac676b/ac676b00.htm
dc.identifier.urihttp://hdl.handle.net/123456789/333425
dc.languageBilingual
dc.relationCIFAA Technical Paper (Committee of Inland Fisheries and Aquaculture for Africa)
dc.relationCIFA/T12
dc.rightsFAO
dc.titlePredicting 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.titlePredicting ecology and fish yields in African reservoirs from preimpoundment physico-chemical data
dc.typeBook (series)

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