9786139948567 - perceived sustainability of adaptive capacity resources: in the light of climate change among smallholder farmers in manyoni district, tanzania de shirima, andrew omari (6 resultados)
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Librería: preigu, Osnabrück, Alemaniapreigu
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Taschenbuch. Condición: Neu. Perceived Sustainability of Adaptive Capacity Resources | In the Light of Climate Change among Smallholder Farmers in Manyoni District, Tanzania | Andrew Omari Shirima | Taschenbuch | 180 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786139948567 | Verantwortliche Person für die EU: p…reigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Paperback. Condición: Brand New. 180 pages. 8.66x5.91x0.41 inches. In Stock.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Perception of sustainability of adaptive capacity resources among smallholder farmers in Tanzania is insufficiently documented. This study was carried out in Manyoni District to assess perception of sustainability of adaptive capaci…ty resources. It determined the smallholder farmers' perception on climate change and variability; examined adaptation strategies undertaken with regard to climate change and variability; determined levels of adaptive capacity among smallholder farmers and analysed the perception on sustainability of the smallholder farmers' adaptive capacity resources in the light of climate change and variability. A cross-sectional design was adopted. Four wards and two villages from each ward were randomly selected. A total of 30 households were randomly selected from each village hence 240 respondents. Quantitative data were analysed by using SPSS to determine descriptive and inferential statistics, whereas qualitative data were analysed using content analysis. 180 pp. Englisch.
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shirima Andrew OmariDr. Andrew Omari Shirima is a Lecturer in the University of Iringa (Formely Tumaini University Iringa) Tanzania in the Faculty of Arts and Social Sciences - Department of Community D…evelopment. He graduated his Ph.
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Perception of sustainability of adaptive capacity resources among smallholder farmers in Tanzania is insufficiently documented. This study was carried out in Manyoni District to assess perception of sustainability of adaptive capacity r…esources. It determined the smallholder farmers' perception on climate change and variability; examined adaptation strategies undertaken with regard to climate change and variability; determined levels of adaptive capacity among smallholder farmers and analysed the perception on sustainability of the smallholder farmers' adaptive capacity resources in the light of climate change and variability. A cross-sectional design was adopted. Four wards and two villages from each ward were randomly selected. A total of 30 households were randomly selected from each village hence 240 respondents. Quantitative data were analysed by using SPSS to determine descriptive and inferential statistics, whereas qualitative data were analysed using content analysis.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 180 pp. Englisch.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Perception of sustainability of adaptive capacity resources among smallholder farmers in Tanzania is insufficiently documented. This study was carried out in Manyoni District to assess perception of sustainability of adaptive capacity re…sources. It determined the smallholder farmers' perception on climate change and variability; examined adaptation strategies undertaken with regard to climate change and variability; determined levels of adaptive capacity among smallholder farmers and analysed the perception on sustainability of the smallholder farmers' adaptive capacity resources in the light of climate change and variability. A cross-sectional design was adopted. Four wards and two villages from each ward were randomly selected. A total of 30 households were randomly selected from each village hence 240 respondents. Quantitative data were analysed by using SPSS to determine descriptive and inferential statistics, whereas qualitative data were analysed using content analysis.
