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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
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
Spatial Data (Digital)
climate,soil,lutype,areaTRM,HAM,CRO,2919894.20TRM,HAM,FOR,3359760.83TRM,HAM,GRA,1041601.15TRM,HAM,SET,3877.62TRM,HAM,WET,143290.34TRM,LAM,CRO,566015.12TRM,LAM,FOR,2786199.48TRM,LAM,GRA,92800.60TRM,LAM,SET,3816.94TRM,LAM,WET,73629.06TRM,VOL,CRO,40697.90TRM,VOL,FOR,127249.06TRM,VOL,GRA,4463.06TRM,VOL,WET,1821.44TRM,WET,CRO,21314.42TRM,WET,FOR,24314.44TRM,WET,GRA,27586.35TRM,WET,SET,315.95TRM,WET,WET,7699.40TMM,HAM,CRO,20028.59TMM,HAM,FOR,75022.50TMM,HAM,GRA,1685.64TMM,LAM,CRO,3131.15TMM,LAM,FOR,7102.60TMM,LAM,GRA,159.96TMM,LAM,WET,472.70TMM,VOL,CRO,11870.78TMM,VOL,FOR,49932.65TMM,VOL,GRA,899.75
Sources: Remote Sensing Imagery, National Scale Mapping Projects (e.g., soils), Land Use Surveys
Export
Text File(Import to ALU)
Review activity data entry to check for errors
May export activity data and send to experts for additional review
QA/QC Items
Enter previous forest types and age classes before deforestation
Insert area deforested during the year and area cleared by burning
Factors needed to loss of biomass C from deforestation
Compiler has option to assign defaults or country-specific values
Calculation to estimate changes in biomass C stocks from deforestation
Review results for biomass C stock loss due to deforestation
Equation and Legend
Review activity data entry to check for errors
May export activity data and send to experts for additional review
QA/QC Items
Confirm data complete
Factors/Data needed to estimate gross energy intake
Compiler has option to enter additional values
Other factor files available
Factors needed to estimate enteric methane emissions
Compiler has option to enter additional values
Other factor files available
Additional Refinements• ALU could be refined to address
uncertainty
• Develop a mitigation module for projections of GHG trends with various mitigation options