Climate information systems (CIS) for aquaculture

Simple item page
cg.contributor.affiliationStellenbosch Universityen
cg.contributor.affiliationWorldFishen
cg.contributor.donorWorld Banken
cg.coverage.countryZambia
cg.coverage.iso3166-alpha2ZM
cg.coverage.regionSouthern Africa
dc.contributor.authorStander, Henken
dc.contributor.authorGreengrass, Catherineen
dc.contributor.authorOladejo, Sundayen
dc.contributor.authorWatson, Bruceen
dc.contributor.authorNel, Aldien
dc.contributor.authorSalie, Khaliden
dc.contributor.authorNoris, Netsayien
dc.contributor.authorKakwasha, Keaganen
dc.contributor.authorLundeba, Maryen
dc.contributor.authorPeerzadi, Rumanaen
dc.contributor.authorSiamudaala, Victoren
dc.date.accessioned2024-11-12T20:44:26Zen
dc.date.available2024-11-12T20:44:26Zen
dc.identifier.urihttps://hdl.handle.net/10568/159626
dc.titleClimate information systems (CIS) for aquacultureen
dcterms.abstractThe AICCRA project developed an air-water temperature relationship algorithm used to forecast pond water temperatures for integration with the data hub of the Intelligent Agricultural Systems Advisory Tool (iSAT) and an early temperature warning decision tree matrix. The project team will develop the matrix into a dashboard based on input data and water quality parameter thresholds for critical scenarios for tilapia and catfish (Clarius Gariepinus). When predicted temperatures approach their thresholds, this activates a color-coded alarm corresponding with a specific action protocol to regulate pond temperatures. The purpose is to mitigate the impact of high-risk (24°C for minimum and 32°C for maximum) and emergency (12°C for minimum and 40°C for maximum) temperature scenarios on cultured stock.en
dcterms.accessRightsOpen Access
dcterms.alternativeDevelopment of a temperature-based, early warning alert system for fish farmers in Zambiaen
dcterms.bibliographicCitationStander, H., Greengrass, C., Oladejo, S., Watson, B., Nel, A., Salie, K., Mudege, N., Kakwasha, K., Lundeba, M., Hossain, R. P., Siamudaala, V. 2024. Climate information systems (CIS) for aquaculture. Development of a temperature-based, early warning alert system for fish farmers in Zambia. AICCRA Working Paper. Accelerating Impacts of CGIAR Climate Research for Africa (AICCRA).en
dcterms.extent26 p.en
dcterms.issued2024-10en
dcterms.languageen
dcterms.licenseCC-BY-NC-4.0
dcterms.publisherAccelerating Impacts of CGIAR Climate Research for Africaen
dcterms.subjectaquacultureen
dcterms.subjectearly warning systemsen
dcterms.subjectclimate resilienceen
dcterms.subjectsustainable agricultureen
dcterms.typeWorking Paper

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
AICCRA Report - Climate Information Systems (CIS) for Aquaculture - Development of a temperature-based, early-warning alert system for fish farmers in Zambia_FA_Web.pdf
Size:
1.26 MB
Format:
Adobe Portable Document Format
Description:
Working Paper
Download

License bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

AICCRA Working Papers