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Improved large-area forest increment information in Europe through harmonisation of National Forest Inventories.

Authors :
Gschwantner, Thomas
Riedel, Thomas
Henning, Lea
Adame, Patricia
Adolt, Radim
Aguirre, Ana
Alberdi, Iciar
Avitabile, Valerio
Cañellas, Isabel
Di Cosmo, Lucio
Fischer, Christoph
Freudenschuß, Alexandra
Gasparini, Patrizia
Henttonen, Helena M.
Korhonen, Kari T.
Kučera, Miloš
Marin, Gheorghe
Máslo, Jan
Mionskowski, Marcin
Morneau, François
Source :
Forest Ecology & Management; Jun2024, Vol. 562, pN.PAG-N.PAG, 1p
Publication Year :
2024

Abstract

Consistent knowledge about the increment in European forests gained amplified importance in European policies and decision processes related to forest-based bioeconomy, carbon sequestration, sustainable forest management and environmental changes. Until now, large-area increment information from European countries was lacking international comparability. In this study we present a harmonisation framework in accordance with the principles and the approach established for the harmonisation of National Forest Inventories (NFIs) in Europe. 11 European NFIs, representing a broad range of increment measurement and estimation methods, developed unified reference definitions and methods that were subsequently implemented to provide harmonised increment estimates by NUTS regions (Nomenclature of territorial units for statistics of the European Union), main forest types and tree species groups, and to rate the impact of harmonisation measures. The main emphasis was on gross annual increment (GAI), however, also annual natural losses (ANL) and net annual increment (NAI) were estimated. The data from the latest available NFI cycles were processed. The participating countries represent a forest area of about 130 million ha, and 82% of the European Unions' (EU) forest area, respectively. The increments were estimated in terms of volume (m³ year<superscript>−1</superscript>, m³ ha<superscript>−1</superscript> year<superscript>−1</superscript>) and above-ground biomass (t year<superscript>−1</superscript>, t ha<superscript>−1</superscript> year<superscript>−1</superscript>). The harmonised GAI volume estimates deviate in a range of +12.3% to −26.5% from the estimates according to the national definitions and estimation methods. Within the study area, the harmonised estimates show a considerable range over the NUTS regions for GAI, from 0.6 to 12.3 m³ ha<superscript>−1</superscript> year<superscript>−1</superscript>, and 0.8–6.4 t ha<superscript>−1</superscript> year<superscript>−1</superscript>, of volume and above-ground biomass, respectively. The largest increment estimates are found in Central Europe and gradually decrease towards the North, South, West and East. In most countries coniferous forests show larger increment estimates per hectare than broadleaved forests while mixed forests are at an intermediate level. However, in some instances, the differences were small or mixed forests revealed the largest increment estimates. The most important tree species groups in the study area are Pinus spp. and Picea spp., contributing 29% and 26% of the estimated total GAI volume, respectively. The shares of the prevalent broadleaved species are smaller with contributions of 9%, 7% and 6% by Quercus spp., Fagus sylvatica and Betula spp. The results underline the importance of harmonisation in international forest statistics. Looking ahead, harmonised large-area increment estimation is pivotal for accurate monitoring and evidence-based policy decisions in the changing context of future forest ecosystems dynamics, management strategies and wood availability. [Display omitted] • Increment estimation approaches differ among European NFIs. • Harmonisation framework developed for gross and net annual increment. • Common increment estimation method implemented by 10 European countries. • Harmonised increments estimated for NUTS regions, forest types and tree species. • Harmonised increments improve the comparability of international forest statistics. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03781127
Volume :
562
Database :
Supplemental Index
Journal :
Forest Ecology & Management
Publication Type :
Academic Journal
Accession number :
177564231
Full Text :
https://doi.org/10.1016/j.foreco.2024.121913