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Eastern Arc Mountains and Coastal Forests of Tanzania and Kenya ...

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years due to a lack <strong>of</strong> funding. Other major players in <strong>Kenya</strong>n IBA conservation in this hotspotare the National Museums <strong>of</strong> <strong>Kenya</strong> (Kaya sites in particular) <strong>and</strong> the Government ForestryDivision (Forest Reserves). BirdLife International <strong>and</strong> Nature <strong>Kenya</strong> provide very significantfunding to one IBA site—Arabuko-Sokoke—which is also the largest coastal forest in thehotspot.Spread <strong>of</strong> Conservation Attention Across Different IBAsThe conservation attention received by the IBA sites from different agencies was examined as apreliminary indication <strong>of</strong> gaps in project coverage. Secondary stages in such an analysis wouldneed to consider other factors such as biological value, integrity <strong>and</strong> size, threats <strong>and</strong> evenfeasibility <strong>of</strong> operating in the area.<strong>Tanzania</strong>A ranked assessment <strong>of</strong> the degree <strong>of</strong> conservation attention that different IBA sites havereceived during the past five years illustrates that the Udzungwa <strong>Mountains</strong> have received themost conservation attention throughout this period. Conservation efforts have also focused on theEast <strong>and</strong> West Usambaras <strong>and</strong> the Ulugurus. These are all <strong>Eastern</strong> <strong>Arc</strong> <strong>Mountains</strong> blocks.<strong>Eastern</strong> <strong>Arc</strong> IBAs that have received far less attention are Ukaguru, Nguru, Nguu, Rubeho <strong>and</strong>Uvidundwa. Within the coastal forests the IBAs <strong>of</strong> Kilwa <strong>and</strong> Rufiji Districts have had the mostconservation projects <strong>and</strong> IBAs such as those in Newala District have received the leastattention.<strong>Kenya</strong>An assessment <strong>of</strong> the coverage <strong>of</strong> IBA sites by conservation projects in <strong>Kenya</strong> shows thatArabuko-Sokoke <strong>and</strong> the Taita Hills receive the largest attention from conservation projects. TheShimba Hills, Diani <strong>and</strong> the Tana River Primate Reserve follow these sites in terms <strong>of</strong> attentionthey receive. Three IBAs have no conservation projects in recent times: Tana River Delta,Dakacha Woodl<strong>and</strong>s <strong>and</strong> Dzombo Hills.Funding Allocation Against Biological PriorityFigure 6 assesses the match between funding allocation <strong>and</strong> biological priority. The 20 sitescontaining the largest numbers <strong>of</strong> globally threatened species (Appendix 2) vary considerably inthe amount <strong>of</strong> external donor funding they are expected to receive during 2003. This fundingexcludes the funds that the <strong>Tanzania</strong>n <strong>and</strong> <strong>Kenya</strong>n governments provide to the management <strong>of</strong>national parks, national reserves <strong>and</strong> forest reserves <strong>and</strong> national monuments – which may besignificant in some places <strong>and</strong> very small in others.Eighty percent <strong>of</strong> the 20 sites containing the most globally threatened species from this hotspotare in <strong>Tanzania</strong>. Given that 90 percent <strong>of</strong> the total forest area in the hotspot is in <strong>Tanzania</strong>, this isto be expected. Two factors, however, have affected the site ranking. The first is research effort.<strong>Tanzania</strong>n forests have generally received much less biological study than those in the <strong>Kenya</strong>npart <strong>of</strong> the hotspot, with some <strong>of</strong> the <strong>Eastern</strong> <strong>Arc</strong> blocks (e.g., the Rubehos <strong>and</strong> Nguus <strong>and</strong>Uvidundwas) <strong>and</strong> some coastal forests (e.g., those <strong>of</strong> Newala District) remaining practicallyunknown. This means that the importance <strong>of</strong> the <strong>Tanzania</strong>n sites may be underestimated. Thesecond factor is related to the way in which the sites are defined. In <strong>Kenya</strong> every small patch <strong>of</strong>50

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