LOWER ZAMBEZI RIVER BASIN BASELINE DATA ON LANDUSE ...

More documents

Recommendations

Info

ABBREVIATIONS AND TERMS________________________________________________________________________CBDCCDCENACARTADCBDIVERSITASDNADNGADPCAGISGOMGPSGPZIIAMLAIMICOAMODISNAPANBUNDVINEMPPFTSADCSPASRTMUEMUNFCCCVICConvention on Biological DiversityConvention to Combat DesertificationCentro Nacional de Cartografia e TeledetecçãoDepartment of Biological Sciences (Departamento de CiênciasBiológicas, Faculdade de Ciências (FC), Universidade EduardoMondlane (UEM)International Programme in Biodiversity ScienceNational Directorate of Water Affairs (Direcção Nacional deÁguas)National Directorate of Environmental ManagementProvincial Directorate for Environment (Direcção Provincial deCoordenação Ambiental)Geographic Information SystemGovernment of MozambiqueGlobal Positioning SystemZambezi Basin Development Authority of Mozambique (Gabinetedo Plano de Desenvolvimento da Região do Zambeze )Mozambique Institute for Agricultural Research (Instituto deInvestigacão Agraria de Mozambique)Leaf Area IndexMinistry for the Coordination of Environmental Affairs (Ministério paraa Coordenação da Acção Ambiental)Moderate Resolution Imaging SpectroradiometerNational Adaptation Programmes of ActionNational Biodiversity Unit (MICOA)Normalised Difference Vegetation IndexNational Environmental Management Plan (MICOA)Plant Functional TypeSouthern African Development CommunityStrategic Priority of AdaptationShuttle Radar Topography MissionEduardo Mondlane University (Universidade Eduardo Mondlane)United Nations Framework Convention on Climate ChangeVariable Infiltration Capacity (macroscale hydrologic model)________________________________________________________________________2
TABLE OF CONTENTSLIST OF FIGURES AND TABLES 4ACKNOWLEDGEMENTS 5EXECUTIVE SUMMARY 61. INTRODUCTION 91.1. Project Purpose 91.2. Background Information 91.3. Goal and Objectives 101.4. Scope of Work 102. LAND COVER AND LAND USE CHANGES VIA REMOTE SENSING 112.1. Background 112.2. Evaluation of Existing Remote Sensing and Map Data 122.3. A Comparative Estimate of the Land Use and Land Cover Changes 123. BIODIVERSITY ASSESSMENT 153.1. Background 153.2. Existing Biodiversity Information 153.3. A Rapid Appraisal Method 193.4 Indicators of Biodiversity and Potential Agricultural Productivity 213.5. Work Required to Deliver an Aboveground Biodiversity Baseline 233.6. The Status Quo of Biodiversity Baseline Information 243.7. Potential Coupling Biodiversity Data with Remotely Sensed and Hydrological Data 253.8. Biodiversity Survey and Global Benefits 284. THE DYNAMIC HYDROLOGY ANALYSIS FRAMEWORK 294.1. Background 294.2. Derivation of the Zambezi Valley River Networks/ Flow Accumulation Grid 294.3. Soils: From Type to Depth and Texture 314.4. Vegetation Classifications and Assumed Biophysical Attributes 324.5. Development of Climate Data 334.6. Evaluation of the Daily and Monthly Time Series of the Climate Variables 344.7. Evaluation of the Annual and Seasonal Climatology 364.8. River Discharge Data and Reservoir Operations 374.9. Generation-1 Vic Model Of the Zambezi 384.10. Training of GPZ and AraZambezi Staff 404.11. Zambezi Dynamic Information Framework (ZambeziDIF) Version 1 405. NEXT STEPS 425.1. Additional Needs For Remote Sensing Data 425.2. Biodiversity 425.3. Hydrology Modeling and ZambeziDIF 42REFERENCES 44ANNEX 473
Page 1: LOWER ZAMBEZI RIVER BASINBASELINE D
Page 5 and 6: ACKNOWLEDGEMENTSThis report was pre
Page 7 and 8: (7) Baseline data (vegetation struc
Page 9 and 10: 1. INTRODUCTION1.1. PROJECT PURPOSE
Page 11 and 12: 2. LAND COVER AND LAND USE CHANGES
Page 13 and 14: Asner et al. (2003, 2004) collected
Page 15 and 16: 3. BIODIVERSITY ASSESSMENT3.1. BACK
Page 17 and 18: CBD.29 The country of Mozambique (8
Page 19 and 20: 3.3 A RAPID APPRAISAL METHOD AND A
Page 21 and 22: 39. Georeferenced, digitalphotograp
Page 23 and 24: VegClass software and training manu
Page 25 and 26: classifications within the region a
Page 27 and 28: in addition, provide an important r
Page 29 and 30: 4. THE DYNAMIC HYDROLOGY ANALYSIS F
Page 31 and 32: using mostly ArcInfo spatial analys
Page 33 and 34: MODIS’ automated classification p
Page 35 and 36: ERAERAWMO StationsFig. 4.6 ERA40 an
Page 37 and 38: 4.8. RIVER DISCHARGE DATA AND RESER
Page 39 and 40: PrecipitationRunoffEvapotranspirati
Page 41 and 42: Southern Africa MODISZambezi BasinV
Page 43 and 44: (1) Data and information contained
Page 45 and 46: Gillison, A.N. (2002). Bioregional
Page 47 and 48: ANNEXTable 1. List of data variable
Page 49 and 50: Table 3. Site physical featuresTran
Page 51 and 52: Table 5. Description of vegetation
Page 53 and 54:
Table 7. Example page of tabulated
Page 55 and 56:
ABCDEFFig 1. Examples of ornamental
Page 57 and 58:
No. Country Location Georeference P
Page 59 and 60:
250250Species diversity200150100500
Page 61 and 62:
ABCDEFFig. 4 Transport and water us
show all

LOWER ZAMBEZI RIVER BASIN BASELINE DATA ON LANDUSE ...

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?