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Reconciling global-model estimates and country reporting of anthropogenic forest CO2 sinks

  • Giacomo Grassi
  • , Jo House
  • , Werner A. Kurz
  • , Alessandro Cescatti
  • , Richard A. Houghton
  • , Glen P. Peters
  • , Maria J. Sanz
  • , Raul Abad Viñas
  • , Ramdane Alkama
  • , Almut Arneth
  • , Alberte Bondeau
  • , Frank Dentener
  • , Marianela Fader
  • , Sandro Federici
  • , Pierre Friedlingstein
  • , Atul K. Jain
  • , Etsushi Kato
  • , Charles D. Koven
  • , Donna Lee
  • , Julia E.M.S. Nabel
  • Alexander A. Nassikas, Lucia Perugini, Simone Rossi, Stephen Sitch, Nicolas Viovy, Andy Wiltshire, Sönke Zaehle

Research output: Contribution to journalArticlepeer-review

Abstract

Achieving the long-term temperature goal of the Paris Agreement requires forest-based mitigation. Collective progress towards this goal will be assessed by the Paris Agreement’s Global stocktake. At present, there is a discrepancy of about 4 GtCO2 yr−1 in global anthropogenic net land-use emissions between global models (reflected in IPCC assessment reports) and aggregated national GHG inventories (under the UNFCCC). We show that a substantial part of this discrepancy (about 3.2 GtCO2 yr−1) can be explained by conceptual differences in anthropogenic forest sink estimation, related to the representation of environmental change impacts and the areas considered as managed. For a more credible tracking of collective progress under the Global stocktake, these conceptual differences between models and inventories need to be reconciled. We implement a new method of disaggregation of global land model results that allows greater comparability with GHG inventories. This provides a deeper understanding of model–inventory differences, allowing more transparent analysis of forest-based mitigation and facilitating a more accurate Global stocktake.

Original languageEnglish (US)
Pages (from-to)914-920
Number of pages7
JournalNature Climate Change
Volume8
Issue number10
DOIs
StatePublished - Oct 1 2018

ASJC Scopus subject areas

  • Environmental Science (miscellaneous)
  • Social Sciences (miscellaneous)

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