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ghana climate change vulnerability and adaptation assessment

ghana climate change vulnerability and adaptation assessment

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however, many valuable timber trees were retained in cocoa fields, augmented by planting of fruit <strong>and</strong> otheruseful trees; thus, shade-grown cocoa was an agroforestry practice with greater biodiversity value than slash<strong>and</strong> burn agriculture (Duguma, Gockowski et al. 2001) <strong>and</strong> full sun cocoa farming.Cocoa yields in Ghana are below international averages; the potential increase from higher productivity couldbe more than double the yields in 2005 (FAO 2005; Breisinger, Diao et al. 2008). Increases could come fromnew varieties <strong>and</strong> increased use of fertilizer. Newer varieties have been shown to increase yields by at least 42percent <strong>and</strong> fertilizer use was associated with 19 percent higher cocoa yield per 50 kg bag of fertilizer (Edwin<strong>and</strong> Masters 2005). Research has demonstrated the technical advantages of fertilized, low shade or full sunhybrids <strong>and</strong> current recommendations from the Cocoa Research Institute of Ghana call for additions ofphosphorus, potassium, <strong>and</strong> micronutrient fertilizer, densely planted hybrid cocoa (1,111 trees ha -1 ), whileretaining at most 12-15 shade trees ha -1 (Gockowski <strong>and</strong> Sonwa). In practice, smallholders have been able toadopt only the low shade/full sun recommendation as they lack resources to acquire hybrid seeds <strong>and</strong>fertilizer. Little research has been directed towards increasing productivity of traditional shade grown cocoa(Gockowski <strong>and</strong> Sonwa ; Breisinger, Diao et al. 2008) although that is an alternative that would avoid thenegative effects of full sun hybrid cocoa on biodiversity (Belsky <strong>and</strong> Siebert 2003; Franzen <strong>and</strong> BorgerhoffMulder 2007).EFFECTS OF CLIMATE CHANGE ON AGRICULTURECrops are vulnerable to <strong>climate</strong> variability as evidenced most obviously by lowered yields during droughtperiods, less dramatically by year-to-year variation in productivity. Variability can take many forms; forexample less total annual precipitation, delayed onset of the rainy period, higher temperature or sub-optimummoisture during critical growth stages (too moist during establishment might favor diseases, such as dampingoff; too dry during grain-filling might lower yield). Changes in average <strong>climate</strong> values in regions currently atthe limit for growing some crops could reduce yields to non-viable levels, for example, causing a shift towardsagropastoral systems. The complexity of crop growth requires <strong>climate</strong> data (short-term variability, frequencyof extreme events) at spatial <strong>and</strong> temporal resolutions that are currently beyond the reach of <strong>climate</strong> <strong>change</strong>models (Challinor, Wheeler et al. 2007). In addition to inadequate <strong>climate</strong> models, crop modeling research hasfavored the major global food crops <strong>and</strong> devoted less attention to crops important to Ghana, such as millet<strong>and</strong> yams. Additionally, crop models generally are specified for monocropping <strong>and</strong> rarely considerintercropping. Improvements in both <strong>climate</strong> <strong>and</strong> crop models <strong>and</strong> the ability to model effects at scales fromthe farmer’s field to the region <strong>and</strong> nation will be critical to formulating <strong>adaptation</strong> options for agriculture <strong>and</strong>mainstreaming <strong>climate</strong> <strong>change</strong> into development programs (Challinor, Wheeler et al. 2007).Several <strong>assessment</strong>s have been made of the potential effect of <strong>climate</strong> <strong>change</strong> on crop yields in Africa(Challinor, Wheeler et al. 2007). They are not readily compared because they use different global circulationmodels, IPCC emission scenarios, <strong>and</strong> crop models, but they generally indicate negative effects for maize,rice, millet <strong>and</strong> cereals in general; effects range from +16 percent to -98 percent <strong>change</strong> in annual yields(Challinor, Wheeler et al. 2007). Linking five <strong>climate</strong> models <strong>and</strong> five emissions scenarios with a spatiallyexplicit agro-ecosystem model <strong>and</strong> a global food system (trade) model provided an integrated system toexamine not only <strong>climate</strong> <strong>change</strong> effects on agriculture but the effects of limited agronomic <strong>adaptation</strong>(Fischer, Shah et al. 2005). Effects of <strong>climate</strong> <strong>change</strong> on agricultural production were relatively minor globallybut significant regionally. Ghana was projected to gain cereal-production potential by 2080, depending uponemission scenario (Fischer, Shah et al. 2005) but generally, semi-arid zones within sub-Saharan Africa (such asthe northern savanna zones in Ghana) would experience reductions in cereal-crop production (Fischer, Shahet al. 2005; Zhang <strong>and</strong> Cai 2011).72 GHANA CLIMATE CHANGE VULNERABILITY AND ADAPTATION ASSESSMENT

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