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Phiri GHG inventory in Zambia Nov 10 2014


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Presentation at workshop: Reducing the costs of GHG estimates in agriculture to inform low emissions development
November 10-12, 2014
Sponsored by the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) and the Food and Agriculture Organization of the United Nations (FAO)

Published in: Science
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Phiri GHG inventory in Zambia Nov 10 2014

  1. 1. GHG inventory in Zambia Michael Annel Phiri
  2. 2. KEY Drivers for GHG Inventory in Zambia u To understand the sectors contributing to GHG emissions so as to employ appropriate measures to reduce the emissions; u Provide information useful for addressing other environmental issues (e.g. air quality, land use, waste management, etc.); u To take advantage of the opportunities provided to access international funding for climate change Mitigation and Adaptation; u To fulfil Zambia’s obligation to the UNFCCC of reporting its sinks and sources; u The need to understand how the country is contributing to global climate change.
  3. 3. Approaches currently used to estimate GHG emissions u Institution u Past approaches u Consultants used to undertake inventories in the past u Consultants collected secondary data from various institutions and analyzed it u Produced the reports which were subjected to technical reviews u Present approach u Formalized institutional framework being set up u An existing Institution has been appointed as GHG Unit to coordinate GHG inventory preparation ( Environmental Management Agency ) u sectors leads institutions have been appointed to lead sector GHG inventory preparation u Roles and responsibilities have been defined for these institutions in relation to GHG inventory
  4. 4. IT and Archiving officers QA/QC NCCDC MLNREP System Inventory Compilers Waste Energy LULUCF Agriculture Industrial Process Local goverment Nwasco Dept of Local Government and AdminstraGon ZEMA Research insGtuGons, academia, Private sector, CSO Department of Energy Department of planning ERB Coal thermal plant Collieries Department of Mines CSO/ZRA IPP ZESCO INDENI OMCs ZAM/ZACCI Department of forestry NaGonal Remote sensing Centre Survey department Department of agriculture DoE DoP ZAWA CSO/ZRA ZEMA Department of agriculture Department of livestock ZNFU UNZA-­‐agric ZARI CRB Ndola lime Uniturtle CSO/ZRA NRDC ZEMA Commerce and industry Zesco Department of mines ZAM Ministry of Health CSO/ZRA Steel companies ZEMA ZAM/ZACCI Inventory Coordinator ZEMA ReporGng to UNFCCC
  5. 5. Approaches currently used to estimate GHG emissions Cont’d u Methodology used in GHG Inventory compilation u Based on revised 1996 guidelines, partly 2006 guidelines and 2000 Good Practice Guidance u Dependent on data availability u IPCC software has been used to compile inventory data u In addition ALU software has recently been used for LULUCF and Agriculture u Data collection u Institutions collect data for their own use. u Mostly it is in different format u Data is also used for GHG inventory
  6. 6. Innovations for Reducing GHG Inventory Costs u Institutionalizing GHG inventory preparation u Including GHG inventory costs as part of national budgeting process u Incorporation of GHG data requirements as part of periodic national surveys conducted by Central Statistics Office u Involvement of Academia for specific research needs u Review of mandatory data requirement format submitted to Environmental Agency
  7. 7. Major challenges and Priorities for improving estimates u Challenges u Inadequate data collected u Inadequate QC/QA conducted during data collection u Data formats not compatible with GHG inventory reporting formats u Limited capacity to undertake GHG inventory u Priority areas for Improvement u capacity building and training among sector lead institutions and GHG Unit in the use of various software u Training of various stakeholders ( Academia and research Institutions ) u Development of harmonized formats for data collection u Introduction of QCQA in sector leads in collaboration with research institutions
  8. 8. Data Gaps and methods being used to generate that Data u Data Gaps u Inadequate land cover maps u Inadequate capture of Information from existing crop survey forms e.g. complete inventories u Inadequate data on shifting cultivation practices in Zambia ( mostly expert judgment used in previous inventories) u Inadequate categorization of Improved pastures. This includes all possible management practice such as liming, manure management, improved varieties irrigation, etc. u What is being done to improve Data generation u Use of Integrated Land Use Assessment ( ILUA) to generate land cover maps for various time series ( year 2000, 2010 ) u involvement of various key institutions to provide data e.g Remote sensing Centre, Meteorological Departments among others.
  9. 9. u Thanks for listening