An assessment of inland fisheries in South Africa using fisheries-dependent and fisheries-independent data sources
- Authors: McCafferty, James Ross
- Date: 2012
- Subjects: Fisheries -- South Africa , Fishery management -- South Africa , Fisheries -- Economic aspects -- South Africa , Food security -- South Africa , Poverty -- South Africa , Economic development -- South Africa , Fishing -- South Africa , Fisheries -- Catch effort -- South Africa , Fish stock assessment -- South Africa , Fish populations -- South Africa , Linear models (Statistics)
- Language: English
- Type: Thesis , Masters , MSc
- Identifier: vital:5229 , http://hdl.handle.net/10962/d1005072 , Fisheries -- South Africa , Fishery management -- South Africa , Fisheries -- Economic aspects -- South Africa , Food security -- South Africa , Poverty -- South Africa , Economic development -- South Africa , Fishing -- South Africa , Fisheries -- Catch effort -- South Africa , Fish stock assessment -- South Africa , Fish populations -- South Africa , Linear models (Statistics)
- Description: The role of inland fisheries as contributors to local and national economies in developing African countries is well documented. In South Africa, there is increasing interest in inland fisheries as vehicles for achieving national policy objectives including food security, livelihoods provision, poverty alleviation and economic development but there is surprisingly little literature on the history, current status, and potential of inland fishery resources. This lack of knowledge constrains the development of management strategies for ensuring the biological sustainability of these resources and the economic and social sustainability of the people that are dependent on them. In order to contribute to the knowledge base of inland fisheries in South Africa this thesis: (1) presents an exhaustive review of the available literature on inland fisheries in South Africa; (2) describes the organisation of recreational anglers (the primary users of the resource); (3) compiles recreational angling catch records and scientific gill net survey data, and assesses the applicability of these data for providing estimates of fish abundance (catch-per-unit effort [CPUE]); and finally, (4) determines the potential for models of fish abundance using morphometric, edaphic, and climatic factors. The literature review highlighted the data-poor nature of South African inland fisheries. In particular information on harvest rates was lacking. A lack of knowledge regarding different inland fishery sectors, governance systems, and potential user conflicts was also found. Recreational anglers were identified as the dominant user group and catch data from this sector were identified as potential sources of fish abundance and harvest information. Formal freshwater recreational angling in South Africa is a highly organised, multi-faceted activity which is based primarily on angling for non-native species, particularly common carp Cyprinus carpio and largemouth bass Micropterus salmoides. Bank anglers constituted the largest number of formal participants (5 309 anglers affiliated to formal angling organisations) followed by bass anglers (1 184 anglers affiliated to formal angling organisations). The highly structured nature of organised recreational angling and dominant utilisation of inland fisheries resources by this sector illustrated not only the vested interest of anglers in the management and development of inland fisheries but also the role that anglers may play in future decision-making and monitoring through the dissemination of catch data from organised angling events. Generalised linear models (GLMs) and generalised additive models (GAMs) were used to standardise CPUE estimates from bass- and bank angling catch records, which provided the most suitable data, and to determine environmental variables which most influenced capture probabilities and CPUE. Capture probabilities and CPUE for bass were influenced primarily by altitude and conductivity and multiple regression analysis revealed that predictive models incorporating altitude, conductivity, surface area and capacity explained significant (p<0.05) amounts of variability in CPUE (53%), probability of capture (49%) and probability of limit bag (74%). Bank angling CPUE was influenced by conductivity, surface area and rainfall although an insignificant (p>0.05) amount of variability (63%) was explained by a predictive model incorporating these variables as investigations were constrained by small sample sizes and aggregated catch information. Scientific survey data provided multi-species information and highlighted the high proportion of non-native fish species in Eastern Cape impoundments. Gillnet catches were influenced primarily by species composition and were less subject to fluctuations induced by environmental factors. Overall standardised gillnet CPUE was influenced by surface area, conductivity and age of impoundment. Although the model fit was not significant at the p<0.05 level, 23% of the variability in the data was explained by a predictive model incorporating these variables. The presence of species which could be effectively targeted by gillnets was hypothesised to represent the most important factor influencing catch rates. Investigation of factors influencing CPUE in impoundments dominated by Clarias gariepinus and native cyprinids indicated that warmer, younger impoundments and smaller, colder impoundments produced higher catches of C. gariepinus and native cyprinids respectively. A predictive model for C. gariepinus abundance explained a significant amount of variability (77%) in CPUE although the small sample size of impoundments suggests that predictions from this model may not be robust. CPUE of native cyprinids was influenced primarily by the presence of Labeo umbratus and constrained by small sample size of impoundments and the model did not adequately explain the variability in the data (r² = 0.31, p>0.05). These results indicate that angling catch- and scientific survey data can be useful in providing predictions of fish abundance that are biologically realistic. However, more data over a greater spatial scale would allow for more robust predictions of catch rates. This could be achieved through increased monitoring of existing resource users, the creation of a centralised database for catch records from angling competitions, and increased scientific surveys of South African impoundments conducted by a dedicated governmental function.
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- Date Issued: 2012
Risk preferences and consumption decisions in organic production: the case of Kwazulu-Natal and Eastern Cape provinces of South Africa
- Authors: Kisaka-Lwayo, Maggie
- Date: 2012
- Subjects: Food security -- South Africa , Sustainable development -- South Africa , Organic farming -- South Africa , Natural foods industry -- South Africa , Risk management -- South Africa , Consumers -- South Africa
- Language: English
- Type: Thesis , Doctoral , PhD (Agricultural Economics)
- Identifier: vital:11188 , http://hdl.handle.net/10353/492 , Food security -- South Africa , Sustainable development -- South Africa , Organic farming -- South Africa , Natural foods industry -- South Africa , Risk management -- South Africa , Consumers -- South Africa
- Description: Despite phenomenal success of the commercial agricultural sector in South Africa and significant progress in integrating smallholders since democratic reforms, food security concerns remain. Recent global increases in food prices have further exacerbated vulnerabilities and made it imperative to examine alternative food production questions in the country. Organic agriculture is identified as one of the sustainable approaches to farming and offers insights towards a paradigm shift in food and nutritional security. Notwithstanding, consumer awareness, knowledge and consumption of organic foods are significantly lower in developing than developed countries. Risks associated with adoption of organic practices need to be explored to address the supply and demand constraints. Similarly, while consumer awareness of organic foods is the first step in developing demand for organic products, it does not necessarily translate to consumption. Therefore it is important to investigate these issues. The objectives of this study were to: (i) describe the demographic and socio-economic characteristics of organic farmers and consumers; (ii) establish the determinants of farmers‘ decision to participate in organic farming distinguishing between the fully-certified organic, partially-certified organic and non-organic farmers; (iii) elicit farmers risk preferences and empirically analyse farmers sources of risk and risk management strategies; (iv) explore consumer awareness, perceptions and attitudes regarding organic products; and (v) identify the factors that influence consumer‘s preference and consumption of organic products. A total of 400 respondents were surveyed, consisting of 200 smallholder farmers in KwaZulu-Natal and 200 consumers in the Eastern Cape. The KwaZulu-Natal study was conducted earlier and identified the following as major sources of risk, lack of consumer awareness of organic products and lack of information among producers about consumer preferences for organic products. This informed the need to undertake a consumer awareness and preference study, in order to inform producers. The Eastern Cape is a bordering province to KwaZulu-Natal with similar socio economic conditions and a major consumer of produce from KwaZulu-Natal. It was also expected that in the intervening period there could have been awareness about the product. An vii indication of its appeal would not be in the consumption of the product by the people who grow it, but by consumers who reside in bordering regions. Producer and household questionnaires were used to record household activities, socio-economic and institutional data as well as household demographics through personal interviews. The Arrow Pratt Absolute Risk Aversion (APARA) coefficient was used to measure the farmer‘s degree of risk aversion and the experimental gambling approach to establish the risk classification. Consumers were also asked about their awareness and knowledge about organics, attitudes and perceptions towards organics, preference and consumption patterns. The ordered probit results indicate that older farmers, who are less risk averse and reside in the sub-ward Ogagwini, Ezigani, and Hwayi were more likely to be certified organic farmers. Similarly, the propensity to adopt organic farming is positively correlated to household size, livestock ownership, asset base and tenure security. The risk analysis indicates that at higher pay-offs most farmers are intermediate to moderately risk-averse, with little variation according to personal characteristics, and that non-organic farmers tend to be more risk averse than fully-certified and partially-certified farmers. In general, price, production and financial risks were perceived as the most important sources of risk. Using Principal Component Analysis (PCA), seven principal components (PCs) explaining 66.13% of the variation were extracted. Socio economic factors having a significant effect on the various sources of risk are age, gender, education, location, information access and risk taking ability. The most important traditional risk management strategies used by the surveyed farmers are crop diversification, precautionary savings and participating in social networks. There was general awareness of what constituted organic foods with many consumers associating organic foods with health and nutrition, chemical free and produced using indigenous methods of production. However, there was low awareness of organic products among consumers with little or no knowledge of organic certification and standards. According to the logit model the major factors influencing consumer awareness of organic products are: gender, education, employment status, and location of the respondents, person/household member responsible for shopping and the price perception of the decision maker. The discriminant analysis showed that the consumption of organic products is significantly affected by age of the consumer, viii location, person/household member responsible for shopping, consumer awareness of organics, price perception and label trust. The findings from this study provides useful practical insights for policy makers, farm advisers and researchers in the design of effective and efficient policies, programmes and projects which can affect the adoption of organic practices, increase smallholder farmers capacity to manage risk and drive growth in the organic food market.
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- Date Issued: 2012