Pitfalls in estimating the global carbon removal via forest expansion - a comment on Bastin et al. (2019)
Krause, A.; Arneth, A.; Bayer, A.; Buras, A.; Knoke, T.; Zang, C.; Rammig, A.
Show abstract
We believe the carbon removal potential of 205 Gt C reported by Bastin et al. (2019) to be overestimated. The authors did not consider the carbon already stored on the land with identified tree restoration potential. For instance, grasslands and degraded forests have similar soil carbon stocks as old-growth forests. Accounting for these inconsistencies in the calculation, we estimate a carbon removal potential of 81 Gt C, i.e. only 39% of the Bastin et al. estimate. In addition, some of the assumptions about potential restoration area seem questionable and an essential question remains unanswered: why do areas identified as suitable for tree growth currently lack tree cover?
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Positive effects of projected climate change on post-disturbance forest regrowth rates in northeastern North American boreal forests 92%
- Informing grassland ecosystem modeling with in-situ and remote sensing observations 91%
- Targeting current species ranges and carbon stocks fails to conserve biodiversity in a changing climate: opportunities to support climate adaptation under 30x30 91%
Similar papers in this journal
- Contribution of deep soil layers to the transpiration of a temperate deciduous forest: quantification and implications for the modelling of productivity 92%
- Emissions of climate-altering species from open vegetation fires in the Mediterranean region - A review on methods and data 92%
- An individual, mechanistic and dynamical model to simulate urban tree growth and ecosystem services supply under future scenarios 92%
Similar papers in this journal
Similar papers in this journal
- Forest condition in the Congo Basin for the assessment of ecosystem conservation status 92%
- A global indicator of the capacity of terrestrial ecosystems to retain biological diversity under climate change: the Bioclimatic Ecosystem Resilience Index 92%
- Advancing terrestrial biodiversity monitoring with satellite remote sensing in the context of the Kunming-Montreal global biodiversity framework 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.