Evidence map›Paper›PMID 42471525›Full record

ArticleCarbon balance and management2026

The Italian forest carbon sink: historical evolution and future projections under alternative harvest scenarios.

Roberto Pilli, Emil Cienciala, Kevin Black

Abstract read
In one paragraph

Article in Carbon balance and management, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Roberto PilliIndependent Consultant, 35133, Padua, Italy. roberto.pilli713@gmail.com.
Emil CiencialaIFER - Institute of Forest Ecosystem Research, 254 01, Jilove U Prahy, Czech Republic.
Kevin BlackFERS Ltd, Kilberry, Navan, Co Meath, Ireland.

Funding

HORIZON EUROPE Framework Programme No. 101056875
6 · The paper itself

Abstract

backgroundIn 2023, forests offset approximately 9% of total GHG emissions in the EU-27, with Italy accounting for about 20% of these offsets. Historical felling rates, in Italy, are highly uncertain, with a ± 50% confidence interval. In this study, we used a forest carbon inventory model, scaled at regional level, to assess the overall impact of the harvest uncertainty on the Italian forest carbon (C) sink. The analysis included most recent information from the literature and an ancillary assessment of the harvested wood product mitigation potential. Based on this assessment, we estimate the evolution of the forest C sink to 2070, under different harvest scenarios defined by an increasing felling rate relative to the net annual increment estimated by the model on forest area available for wood supply.

resultsComparison of our results with the Italian GHGI data shows an overall good fit with the living biomass sink, but significantly higher removals by the dead organic matter pool. For the historical period, the modelled total C sink increases from -40 Tg CO

conclusionsBetween 2005 and 2023, the impact of harvest uncertainty on the total forest C sink averaged 11 Tg CO

Indexed as

AfforestationCarbon accountingFelling ratesForest managementNatural disturbances

Identifiers

PMID42471525
PMCPMC13670799

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.