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1000 Titel
  • Ascription of the differences between Germany and Uganda’s Land Use, Land-Use Change, and Forestry sector greenhouse gas methodologies for inventory improvement
1000 Autor/in
  1. Mugarura, Michael |
  2. Stümer, Wolfgang |
  3. Dunger, Karsten |
  4. Bolte, Andreas |
  5. Ramlow, Matt |
  6. Ackom, Emmanuel |
  7. Röhling, Steffi |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-06-29
1000 Erschienen in
1000 Quellenangabe
  • 26(6):24
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s11027-021-09957-2 |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Germany, as an Annex I Party is expected to prepare and submit annual Greenhouse Gas (GHG) Inventories of emissions and removals, including Land Use, Land-Use Change, and Forestry (LULUCF) sector. Uganda, a non-Annex 1 party, is institutionalizing a sustainable national GHG inventory system. The LULUCF sector is a key emission source and plays a vital role in these two countries’ GHG inventories. This research analyzes the differences between applied LULUCF methodologies in Uganda as a developing country and Germany as a developed country with a particular focus on the forestry sector. It further analyzes the root cause factors for the different approaches, existing gaps and gives recommendations for future inventory improvement. The intricate institutional, policy framework, expertise, and applied methodological approaches for carbon change estimations in biomass pools are analyzed. Uncertainty analysis and time-series consistency process is reviewed with regard to how the countries’ quality assurance/control (QA/QC) and verification approaches adhere to the transparency framework. Resource limitations and data collection challenges dictate that Uganda uses the tier 1 methodological approach for emissions inventory. Consolidation and institutionalization of the GHG process will improve inventory accuracy while enhancing adherence to climate commitments. Germany uses higher tiers. Besides, government support for planned improvements using the recently developed country-specific biomass functions for estimating belowground biomass of silver birch, oak, and Scotch pine tree species will be essential for improving inventory quality. Operationalization of the inventory plan (IP) will be critical in driving inventory improvements geared towards time-series consistency, comparability, and transparency.
1000 Sacherschließung
lokal Article
lokal Emission factor
lokal Biomass stock
lokal Uncertainty analysis
lokal National Forest Inventory
lokal Stock-difference method
lokal Allometric equations
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-7139-4233|https://frl.publisso.de/adhoc/uri/U3TDvG1lciwgV29sZmdhbmc=|https://frl.publisso.de/adhoc/uri/RHVuZ2VyLCBLYXJzdGVu|https://frl.publisso.de/adhoc/uri/Qm9sdGUsIEFuZHJlYXM=|https://frl.publisso.de/adhoc/uri/UmFtbG93LCBNYXR0|https://frl.publisso.de/adhoc/uri/QWNrb20sIEVtbWFudWVs|https://frl.publisso.de/adhoc/uri/UsO2aGxpbmcsIFN0ZWZmaQ==
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1000 Erstellt am 2023-04-28T11:53:36.567+0200
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1000 Zuletzt bearbeitet 2023-10-20T17:21:27.620+0200
1000 Objekt bearb. Fri Oct 20 17:21:27 CEST 2023
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