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[EBOOK] Estimating Greenhouse Gas Emissions In Agriculture - A Manual to Address Data Requirements for Developing Countries

Countries report dieir greeidiouse gas (GHG) emissions and removals from all sectors via national GHG Inventories, submitted to tile United Nations Framework Convention OI1 Climate Giauge (UNFCCQ in accordance widi international climate policy agreements and tcclmical guidelines developed by die Inteigovemmental Rnd OI1 Qimate Qiange (IPCC).

'Die agiicultiur sector represents a unique challenge for national inventory compilers, especially in developing countries, due to significant difficulties in compiling and regularly updating national statistics for agriculture, forestry' and land use —die first necessary step in preparing aational GỈIG estimates.

The limited capacity to identify and collect reliable activity data and to quantify emissions by sources and removals by sinks, including in countries where agriculture and land use activities are a key component of the national economy and a driver of employment, cotdd furthermore lead to limited access to international climate finance of importance to rural development, stich as for instance REDD+ activities and Nationally Appropriate Mitigation Actions (NAMAs).

MO supports Its Member Countries with data, guidelines and technical expertise towards an enhanced global knowledge base on GHG emissions and mitigation potentials. The MonừotÌHỊ atid Assessment ofGHG Emissions and MừiỊation Potentials in Av iculture - SÍAGHG Project of die Climate. Ettctgy and Land Tenure Division's Mitigation Programme (MICCA), in close collaboration widi the MO Statistics Division and die FAO Forestry Division UN REDD Programme, has developed and made available relevant activity data. GE1G emission estimates databases and analysis tools through the MOSTATdatabase. These products are used in regional and country-level capacity' development activities that support practitioners in assessing and reporting GHG emissions from agriculture and land use categories. With a view to strengthening dieứ national processes, with a focus on preparation and submission of GHG Inventories, Biennial Update Reports (BURs) and NAMAs.

Tills Manual provides Member Countries with a tool and mediodology to help identify, build and access die ummnum set of activity data needed for GHG estimation. Required data IS largely drawn from country’s official national agricultural and forestry statistics, as disseminated inMO’s corporate database MOSTAT. and integrated by geo spatial data obtained from recognized international sources. Users are provided widi step-by-step guidance oil how to use dns minimum set to build a default, yet complete national GHG emission dataset for agriculture and land use. winch follows die defaidt. Her 1 approach of the Intergovernmental Panel on Climate Cliauge (IPCC) Guidelines on National GHG Inventories.

This Manual dierefore contributes to FAO and die Global Strategy support to national processes towards improved agricultural and rural statistics. It can be used as a guide by staff of national statistical offices, euviroiunental ministries and other relevant national agencies, to understand die international context of international climate policy (Ch. 2) and international guidelines (Ch. 3), identify needs for improved agricultural and rural data as well as emission estimates towards improving GHG Inventories (Gh. 4), wlnle supplying practical infonuadoii and examples based on accessing and using die MOSTATEmissions database for agriculture and land use (Ch. 5).

Improving statistical processes for GHG estimation has wider implications beyond climate change mitigation. Improved statistics on agrictdniral and land use activities enable Member Countries better identify climate responses that arc consistent with their rural development and food security objectives, including preserving natural resources, increasing resilience of production systems and creating new employment opportunities.

[EBOOK] Estimating Greenhouse Gas Emissions In Agriculture - A Manual to Address Data Requirements for Developing Countries

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