A GIS-based index tool for the selection of ponds for fisheries
| cg.contributor.affiliation | Towards Action And Learning | en |
| cg.contributor.donor | International Fund for Agricultural Development | en |
| cg.coverage.country | India | |
| cg.coverage.iso3166-alpha2 | IN | |
| cg.coverage.region | Asia | |
| cg.coverage.region | Southern Asia | |
| cg.howPublished | Formally Published | en |
| cg.isbn | 978-92-9081-639-3 | en |
| cg.number | 6 | en |
| cg.place | Wageningen | en |
| cg.reviewStatus | Internal Review | en |
| cg.subject.cta | PLANNING | en |
| cg.subject.cta | GIS | en |
| cg.subject.cta | FISHERIES | en |
| cg.subject.cta | PONDS | en |
| cg.subject.cta | RURAL DEVELOPMENT | en |
| cg.subject.cta | EXPERIENCE CAPITALIZATION | en |
| dc.contributor.author | Khanna, Chitra | en |
| dc.date.accessioned | 2018-10-22T11:01:35Z | en |
| dc.date.available | 2018-10-22T11:01:35Z | en |
| dc.identifier.uri | https://hdl.handle.net/10568/97742 | |
| dc.title | A GIS-based index tool for the selection of ponds for fisheries | en |
| dcterms.abstract | In Central India, a GIS-based geo-hydrological composite index tool has been developed to enable the selection of suitable perennial ponds for fisheries. The tool also allows users to take a comprehensive view of a district and make decisions for natural resource management interventions. | en |
| dcterms.accessRights | Open Access | |
| dcterms.audience | Development Practitioners | en |
| dcterms.bibliographicCitation | Khanna, Chitra. 2018. A GIS-based index tool for the selection of ponds for fisheries. IN: CTA, 2018. Experience capitalization: Fighting rural poverty in India, Nepal and Bhutan. Experience Capitalization Series 6. Wageningen: CTA:43-48. | en |
| dcterms.extent | p. 43-48 | en |
| dcterms.isPartOf | CTA Experience Capitalization Series | en |
| dcterms.issued | 2018-10 | |
| dcterms.language | en | |
| dcterms.license | CC-BY-NC-4.0 | |
| dcterms.publisher | Technical Centre for Agricultural and Rural Cooperation | en |
| dcterms.relation | https://hdl.handle.net/10568/97626 | en |
| dcterms.type | Case Study |
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