@phdthesis{Hauber2011,
  author    = {Hauber, Melanie Erika},
  title     = {Description and Improvement of the 'Whedo'-Aquaculture-System in Malanville (North of Benin)},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-57711},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2011},
  abstract  = {This work delves into the recently developed 'Whedo'-aquaculture-system in the rural community of Malanville (North Benin)and aims on providing a closer insight on this - for the area--recent system including the ecological but also the sociological and economical aspects in order to develop this extensive traditional fishery to a more productive semi-intensive aquaculture system. With the retreat of the flood 'Whedos' usually become infested with numerous hydato-and tenagophytes, while the presence and density of the free-floating macrophytes were positively related to the nutrient content of the 'Whedo'. Extensive plant infestation also affects water quality through the decomposition of organic material and its accumulation in thick mud layers on the pond bottom as well as through the nocturnal oxygen consumption. Unfavourable water quality, especially low dissolved oxygen as well as high conductivity and nitrite levels, was identified to be the main factor determining which fish species were able to survive the harsh conditions prevailing in the 'Whedos' during the dry season. With the deteriorating water quality with advancing dry season, fish diversity decreased significantly leaving only species that are highly adapted to such unfavourable conditions. The most abundant species were Clarias gariepinus, Heterotis niloticus, Oreochromis niloticus L., Hemichromis c.f. letourneauxi, Polypterus senegalus and Epiplatys spilargyreius. Besides, the investigations also concentrated on the fish diversity of the rivers Niger and Sota with the results that for three species distribution gaps could be closed and for further three species their already known distribution could be expanded. But otherwise it could also be detected that some economically important species that were abundant in the past. In regard to the 'Whedo'-management, the investigations showed that the owners lack most of the knowledge on appropriate management strategies, e.g. the feeding and stocking regime. The exploitation period depends on the extent of the previous annual flood and the location of the 'Whedo' within the floodplain, but the main season is from February to April. The biomass harvested on a hectare basis separated for each of the 'Whedos' averaged 17 tons/ha in 2008 and 8.6 tons/ha in 2009. However, 72 percent of the total biomass of Clarias only had an average weight of 40 grams. Therefore, two separated feeding trials were conducted and in total 6 supplementary feeds were tested on Clarias gariepinus. Groundnut cake, fish trash, rice bran, blood meal and azolla meal were used in different combination and rations to formulate the experimental diets. Diet containing 19 percent blood meal resulted in the best economical benefits showing that the use of high quality feed ingredients such as groundnut cake is not recommendable because local fish prices are too low to compensate the additional feeding costs. Instead of high quality feed farmers should focus on ingredients that are free of charge and easy to process. The supplementation based on 19 percent blood meal resulted in the doubling of the net profit compared to the income based on feeding only rice bran, thus provided higher additional income, enhancing the livelihood of the fish farmers. Concluding, the 'Whedo'-aquaculture system is still in its infancy but nevertheless is an attractive system for the rural population because of existing knowledge of post-flood wetland fisheries as well as the low investment needed for its installation. Additionally, the local fish supply will increase and hence not only contribute to a better provision of protein-rich food and reduced pressure on the wild fish stocks but might also prevent fish prices to increase in a way that the poor won't be able anymore to afford their most important source of animal protein. But fish farmers need more knowledge on appropriate management strategies and thus should be provided with technical support to guarantee a successful development and not to discourage the owners as a consequence of avoidable failures. Furthermore, the use of supplementary feed offers a cheap and effective means to increase the biomass production and thus enhance the extensive fishery to a semi-intensive aquaculture system.},
  subject      = {Aquakultur},
  language  = {en}
}
@phdthesis{Awoye2015,
  author    = {Awoye, Oy{\´e}monbad{\´e} Herv{\´e} Rodrigue},
  title     = {Implications of future climate change on agricultural production in tropical West Africa: evidence from the Republic of Benin},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-122887},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2015},
  abstract  = {Environmental interlinked problems such as human-induced land cover change, water scarcity, loss in soil fertility, and anthropogenic climate change are expected to affect the viability of agriculture and increase food insecurity in many developing countries. Climate change is certainly the most serious of these challenges for the twenty-first century. The poorest regions of the world - tropical West Africa included - are the most vulnerable due to their high dependence on climate and weather sensitive activities such as agriculture, and the widespread poverty that limits the institutional and economic capacities to adapt to the new stresses brought about by climate change. Climate change is already acting negatively on the poor smallholders of tropical West Africa whose livelihoods dependent mainly on rain-fed agriculture that remains the cornerstone of the economy in the region. Adaptation of the agricultural systems to climate change effects is, therefore, crucial to secure the livelihoods of these rural communities. Since information is a key for decision-making, it is important to provide well-founded information on the magnitude of the impacts in order to design appropriate and sustainable adaptation strategies. Considering the case of agricultural production in the Republic of Benin, this study aims at using large-scale climatic predictors to assess the potential impacts of past and future climate change on agricultural productivity at a country scale in West Africa. Climate signals from large-scale circulation were used because state-of-the art regional climate models (RCM) still do not perfectly resolve synoptic and mesoscale convective processes. It was hypothesised that in rain-fed systems with low investments in agricultural inputs, yield variations are widely governed by climatic factors. Starting with pineapple, a perennial fruit crops, the study further considered some annual crops such as cotton in the group of fibre crops, maize, sorghum and rice in the group of cereals, cowpeas and groundnuts belonging to the legume crops, and cassava and yams which are root and tuber crops. Thus the selected crops represented the three known groups of photosynthetic pathways (i.e. CAM, C3, and C4 plants). In the study, use was made of the historical agricultural yield statistics for the Republic of Benin, observed precipitation and mean near-surface air temperature data from the Climatic Research Unit (CRU TS 3.1) and the corresponding variables simulated by the regional climate model (RCM) REMO. REMO RCM was driven at its boundaries by the global climate model ECHAM 5. Simulations with different greenhouse gas concentrations (SRES-A1B and B1 emission scenarios) and transient land cover change scenarios for present-day and future conditions were considered. The CRU data were submitted to empirical orthogonal functions analysis over the north hemispheric part of Africa to obtain large-scale observed climate predictors and associated consistent variability modes. REMO RCM data for the same region were projected on the derived climate patterns to get simulated climate predictors. By means of cross-validated Model Output Statistics (MOS) approach combined with Bayesian model averaging (BMA) techniques, the observed climate predictors and the crop predictand were further on used to derive robust statistical relationships. The robust statistical crop models perform well with high goodness-of-fit coefficients (e.g. for all combined crop models: 0.49 ≤ R2 ≤ 0.99; 0.28 ≤ Brier-Skill-Score ≤ 0.90). Provided that REMO RCM captures the main features of the real African climate system and thus is able to reproduce its inter-annual variability, the time-independent statistical transfer functions were then used to translate future climate change signal from the simulated climate predictors into attainable crop yields/crop yield changes. The results confirm that precipitation and air temperature governed agricultural production in Benin in general, and particularly, pineapple yield variations are mainly influenced by temperature. Furthermore, the projected yield changes under future anthropogenic climate change during the first-half of the 21st century amount up to -12.5\% for both maize and groundnuts, and -11\%, -29\%, -33\% for pineapple, cassava, and cowpeas respectively. Meanwhile yield gain of up to +10\% for sorghum and yams, +24\% for cotton, and +39\% for rice are expected. Over the time period 2001 - 2050, on average the future yield changes range between -3\% and -13\% under REMO SRES-B1 (GHG)+LCC, -2\% and -11\% under REMO SRES-A1B (GHG only),and -3\% and -14\% under REMO SRES-A1B (GHG)+LCC for pineapple, maize, sorghum, groundnuts, cowpeas and cassava. In the meantime for yams, cotton and rice, the average yield gains lie in interval of about +2\% to +7\% under REMO SRES-B1 (GHG)+LCC, +0.1\% and +12\% under REMO SRES-A1B (GHG only), and +3\% and +10\% under REMO SRES-A1B (GHG)+LCC. For sorghum, although the long-term average future yield depicts a reduction there are tendencies towards increasing yields in the future. The results also reveal that the increases in mean air temperature more than the changes in precipitation patterns are responsible for the projected yield changes. As well the results suggest that the reductions in pineapple yields cannot be attributed to the land cover/land use changes across sub-Saharan Africa. The production of groundnuts and in particular yams and cotton will profit from the on-going land use/land cover changes while the other crops will face detrimental effects. Henceforth, policymakers should take effective measures to limit the on-going land degradation processes and all other anthropogenic actions responsible for temperature increase. Biotechnological improvement of the cultivated crop varieties towards development of set of seed varieties adapted to hotter and dry conditions should be included in the breeding pipeline programs. Amongst other solutions, application of appropriate climate-smart agricultural practices and conservation agriculture are also required to offset the negative impacts of climate change in agriculture.},
  subject      = {Benin},
  language  = {en}
}