Agricultural and Land Use Software (ALU) Stephen M. Ogle, Ph.D. Colorado State University Natural Resource Ecology Laboratory Fort Collins, Colorado USA Acknowledgements: ALU Software Programmers/Testers: Shannon Spencer (lead programmer), Mark Easter, Fadi Wedyan, Prasanna Venkatesh, Shilpa Halvadar, Hussein Al-Rousan, Stephen Williams, Lacey Hood and Amy Swan
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Agricultural and Land Use Software (ALU) Stephen M. Ogle, Ph.D. Colorado State University Natural Resource Ecology Laboratory Fort Collins, Colorado USA.
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Agricultural and Land Use Software (ALU)
Stephen M. Ogle, Ph.D.
Colorado State UniversityNatural Resource Ecology
LaboratoryFort Collins, Colorado USA
Acknowledgements:ALU Software Programmers/Testers: Shannon Spencer (lead programmer), Mark Easter, Fadi Wedyan, Prasanna Venkatesh, Shilpa Halvadar, Hussein Al-Rousan, Stephen Williams, Lacey Hood and Amy Swan
What is ALU? • Greenhouse Gas Inventory Software
Program – Developed for LULUCF and Agricultural
Sectors– Based on IPCC methods (96 GL and GPG)
• Emphasis on incorporation of good practices
– Accommodates IPCC Tier 1 and 2 methods
• User-interface guiding compiler through inventory process with an underlying relational database structure – Activity data entry, emission factor assignment
and emission/stock change estimation
• Digital archive for inventory data– Institutional memory
GHG Sources in Agriculture and LULUCF
From 2006 IPCC GHG Inventory Guidelines
Some Key Features of ALU• Flexibility with choice of activity data
– Option to use Approach 1, 2 or 3 activity data
• May import activity data from remote-sensing imagery, and combine with forestry statistics and agricultural census data– Complete and consistent representation of land
• Option to use default or region-specific factors – Tier 1 and 2 method
• Explicit Quality Assurance/Quality Control steps– Activity data entry, factor assignments and
calculations
• Produces tabular results and maps for LULUCF– All calculations provided for transparency
Relevance to Capacity-Building Projects
• Develop inventory with IPCC good practices– Explicit Quality Assurance/Quality Control Steps
• Activity data entry, factor assignments and calculations
– Complete and consistent representation of land use and management for all associated emission sources
– Facilitate application of Tier 2 approaches for key sources in Agriculture and LULUCF - Flexibility• Many options for incorporating country-specific data• Country-specific emission factors
– Facilitate recalculation of emissions across inventory time series
Relevance (continued)
• Data management capability– Activity data, factor files, emission results– Utilize GIS-based data on land use and land
use change derived from remote sensing imagery - Option
• Digital archive of all data and results– Self-contained database with activity data,
documentation references and results – Institutional memory for long-term
sustainability of GHG inventory
• Support reporting to the UNFCCC through capacity-building project
Module I, Primary Data: Enter activity data on land use change