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Two large-scale forest scenario modelling approaches for reporting CO2 removal: a comparison for the Romanian forests.

Viorel N B BlujdeaRichard SikkemaIoan DutcaGert-Jan Nabuurs
Published in: Carbon balance and management (2021)
This model comparison provided valuable insights on both the conceptual and modelling algorithms, as well as how the quality of the input data may affect calibration and projections of the stock and stock change in the living biomass pool. In our judgement, both models performed well, providing internally consistent results. Therefore, we underline the importance of the input data quality and the need for further data sampling and model improvements, while the preference for one model or the other should be based on the availability and suitability of the required data, on preferred output variables and ease of use.
Keyphrases
  • electronic health record
  • big data
  • climate change
  • machine learning
  • emergency department
  • wastewater treatment