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APPENDIX APIDCountryApprovalYearP043869Brazil2002P073094India2003P072317Tunisia2003P074266Chad2004Project nameReductionProjectSantaCatarinaNaturalResourcesManagementAnd RuralPovertyReductionProjectAndhraPradeshCommunityForestManagementProjectNorthwestMountainousAnd ForestryAreasDevelopmentProjectAgriculturalServices AndProducerOrganizationsProjectReviewedas SLWMportfolioAt least oneSLWMindica<strong>to</strong>r isnot targetedNo targetsset forincome,yield andbiophysicalindica<strong>to</strong>rschanges.At least oneSLWMindica<strong>to</strong>r isnot targetedAt least oneSLWMindica<strong>to</strong>r isnot targetedICR reviewoutcomeICR reviewefficacySatisfac<strong>to</strong>ry Substantial WB ARDAnchordata/WatershedModeratelySatisfac<strong>to</strong>ryModeratelySatisfac<strong>to</strong>ryModeratelyUnsatisfac<strong>to</strong>rySubstantialModestModestSource Outcomes SLM Interventions SLWM ERRWB ARDAnchor dataWB ARDAnchor dataWB ARDAnchor datacompared with 8.5% in nonprojectvillages. Over 30% highercrop yields, 31% higherproduction (compared <strong>to</strong> nonprojectvillages) of wool and milk,and increased animal weight forcattle and sheep.No targets set for biophysicalchanges. Incomes of <strong>the</strong> sampledbeneficiaries increased on average30.6% vs. 16.5% for <strong>the</strong> controlgroup, ranging from 9.7% <strong>to</strong>18.5% higher than that of <strong>the</strong>control group. Net farm incomerose an incremental 105%.No targets set for income, yieldand biophysical indica<strong>to</strong>rschanges. No target was set atappraisal for <strong>the</strong> increase in <strong>the</strong>proportion of <strong>the</strong> project area withdense forest cover; but satelliteimages show that of <strong>the</strong> 9,210km2 under <strong>the</strong> jurisdiction offorest user groups (VSS)participating in <strong>the</strong> project, 1,728km2 qualified as dense forest in2002 rising <strong>to</strong> 2,149 km2 in 2010.No targets set for biophysicalchanges. ICR: average householdagricultural income increased by85% between 2003 and 2009 inconstant terms (97% of <strong>the</strong> target).Crop yields rose 84% for olivesand 35% for wheat. Vegetationand forest cover grew from 32%<strong>to</strong> 38%. 22,251 ha were treatedwith conservation works and54,880 ha including rangeland andforestry were improved (14%above <strong>the</strong> target). There appear <strong>to</strong>be no soil loss change estimates ordam siltation rate changesNo targets set for biophysicalindica<strong>to</strong>rs changes. <strong>Change</strong> inyields measured on sample ofmicroprojects—increase in yieldfor millet/sorghum (60% <strong>to</strong>baseline) and irrigated rice (77%<strong>to</strong> baseline). Increase in revenuesfor beneficiaries of subprojects—indica<strong>to</strong>r was set, but no clearmeasurement of change (compare<strong>to</strong> baseline) 52 .Rehabilitate hay meadowsthrough reseeding, rotationalgrazing, and res<strong>to</strong>ring degradedpasturelands; construct lives<strong>to</strong>ckwatering points.Watershed development—creation of ecological corridors,erosion control, sustainable landmanagement practices(including agroforestry)agroforestry, silvopas<strong>to</strong>ralpracticesRehabilitation of small-scaleirrigation with water fromcommunity wells or existingsprings.Sustainable NRM: soil andwater conservation works,s<strong>to</strong>newalls, anti-erosionplantations, small dikes andgrass strips; improvement ofpasture in range lands anddegraded areas; agroforestrydevelopment, mainly through<strong>the</strong> establishment of plantationssuch as olive and fruit trees withsome forage for lives<strong>to</strong>ckInvestments in productiveinfrastructure such as drainageand irrigation; conservationfarming supportIRR:PAD-19%,ICR—45%.ERR:PAD—21%,ICR—20%ERR:PAD—17%,ICR- 27%ERR:PAD—21%,ICR: 3scenarios—9%,15%, 19%(depending onfinancialsustainability) 53 .The ICRreviewacceptedERR at9%, as<strong>the</strong>re wereno fur<strong>the</strong>rfundingM&E:baselineM&E :controlgroupsM&E: indica<strong>to</strong>rsand outcomesconnectedin rural areasGender-povertyyes yes yes Poverty reduced in 64% of 880microcatchments (91% oftarget)gender is not an objective,not included in SEA, no M&E.yes 51 yes yes gender is not an objective, notincluded in SEA, part of M&E.yes not yes Gender was not included inM&E, however, at projectcompletion, women accountedfor 17%of CD members, 64% of <strong>the</strong>training in person/days for offfarmincome-generatingactivities, and51% of income-generatingactivities in terms of projectnumbers.yes yes not The project empowered manywomen and enhancedconfidence in <strong>the</strong>ir abilities, asreflected in <strong>the</strong> 339 subprojectsthat were formulated bywomen’s groups and <strong>the</strong> 146completed subprojects that weremanaged by womencosts.No risksSustainabilityThe lack of secure legal statusfor forest user groups and <strong>the</strong>burgeoning tribal claims <strong>to</strong>forest land raise doubts about<strong>the</strong> long-term sustainability of<strong>the</strong> project’s achievements.There are issues of financialsustainability (governmentcommitment) and maintenance.High Risk. Lack of financingneeded <strong>to</strong> complete unfinishedsubprojects. Failure ofgovernment <strong>to</strong> honor fully itscommitment <strong>to</strong> provideadditional financing. Uncertainprospects for continued externalfunding. Loss of experiencedproject staff. Because of96

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