Harmonised statistics and maps of forest biomass and increment in Europe.

Biomass; Databases, Factual; Europe; Forests; Wood; Statistics and Probability; Information Systems; Education; Computer Science Applications; Statistics, Probability and Uncertainty; Library and Information Sciences

Abstract :

[en] Forest biomass is an essential resource in relation to the green transition and its assessment is key for the sustainable management of forest resources. Here, we present a forest biomass dataset for Europe based on the best available inventory and satellite data, with a higher level of harmonisation and spatial resolution than other existing data. This database provides statistics and maps of the forest area, biomass stock and their share available for wood supply in the year 2020, and statistics on gross and net volume increment in 2010-2020, for 38 European countries. The statistics of most countries are available at a sub-national scale and are derived from National Forest Inventory data, harmonised using common reference definitions and estimation methodology, and updated to a common year using a modelling approach. For those counties without harmonised statistics, data were derived from the State of Europe's Forest 2020 Report at the national scale. The maps are coherent with the statistics and depict the spatial distribution of the forest variables at 100 m resolution.

Disciplines :

Agriculture & agronomy
Environmental sciences & ecology
Phytobiology (plant sciences, forestry, mycology...)
Life sciences: Multidisciplinary, general & others

Author, co-author :

Avitabile, Valerio ; European Commission, Joint Research Centre, Ispra, Italy

Pilli, Roberto; Consultant to the European Commission, Joint Research Centre, Ispra, Italy

Migliavacca, Mirco ; European Commission, Joint Research Centre, Ispra, Italy

Duveiller, Gregory ; Max Planck Institute for Biogeochemistry, Jena, Germany

Camia, Andrea; European Commission, Joint Research Centre, Ispra, Italy

Blujdea, Viorel; European Commission, Joint Research Centre, Ispra, Italy

Adolt, Radim; Forest Management Institute, Brandýs nad Labem-Stará Boleslav, Czech Republic

Alberdi, Iciar; Institute of Forest Science (INIA, CSIC), Crta. de la Coruña km 7.5, E-28040, Madrid, Spain

Barreiro, Susana; Centro de Estudos Florestais, Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, 1349-017, Lisboa, Portugal

Bender, Susann ; Thünen Institute of Forest Ecosystems, Alfred-Möller-Str. 1, 16225, Eberswalde, Germany

More authors (46 more)

Language :

English

Title :

Harmonised statistics and maps of forest biomass and increment in Europe.

Publication date :

06 March 2024

Journal title :

Scientific Data

eISSN :

2052-4463

Publisher :

Nature Research, England

Volume :

Issue :

Pages :

274

Peer reviewed :

Peer Reviewed verified by ORBi

Funding text :

We thank the ENFIN and the NFI organisations and national correspondents of 26 European countries who participated in the data harmonisation study supported by the JRC Specific Contracts n. 13, 17, 18, 19, 20 and 21 for the production of data harmonised for definition and estimation method regarding forest biomass, forest area and biomass not available for wood supply, and forest increment. The study was partly funded by the Framework contract for the provision of forest data and services in support to the European Forest Data Centre, Contract numbers 388432 (2012–2017) & 934340 (2017–2021). The views expressed are purely those of the writers and may in no circumstance be regarded as stating an official position of the European Commission.

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Bibliography

European Commission. Impact Assessment, accompanying Communication’Stepping up Europe’s 2030 climate ambition - investing in a climate-neutral future for the benefit of our people (Bruxelles, European Commission, https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:52020SC0176 2020).
Matthews R., Hogan, G. & Mackie, E. Carbon impacts of biomass consumed in the EU: Supplementary analysis and interpretation for the European Climate Foundation (European Climate Foundation, https://europeanclimate.org/wp-content/uploads/2018/05/CIB-Summary-report-for-ECF-v10.5-May-20181.pdf 2018).
P.J. Verkerk et al. Spatial distribution of the potential forest biomass availability in Europe Forest Ecosystems 2019 6 1 1 11 10.1186/s40663-019-0163-5
N. Scarlat J.-F. Dallemand F. Monforti-Ferrario V. Nita The role of biomass and bioenergy in a future bioeconomy: policies and facts Environmental Development 2015 15 3 34 10.1016/j.envdev.2015.03.006
Avitabile, V. et al. Biomass production, supply, uses and flows in the European Union. Integrated assessment. EUR 31415 EN, https://doi.org/10.2760/484748, JRC132358 (Publications Office of the European Union, https://publications.jrc.ec.europa.eu/repository/handle/JRC132358, 2023).
Maes, J. et al. Mapping and assessment of ecosystems and their services: an EU ecosystem assessment. EUR 30161 EN, https://doi.org/10.2760/757183, JRC120383 (Publication office of the European Commission, https://publications.jrc.ec.europa.eu/repository/handle/JRC120383 2020).
P.J. Verkerk G. Zanchi M. Lindner Trade-Offs Between Forest Protection and Wood Supply in Europe Environmental Management 2014 53 1085 1094 2014EnMan.53.1085V 10.1007/s00267-014-0265-3 24699992
Vidal, C., Alberdi, I., Hernández, L. Redmond, J. J. National Forest Inventories (Springer Science+ Business Media, 2016).
T. Gschwantner et al. Growing stock monitoring by European National Forest Inventories: Historical origins, current methods and harmonisation Forest Ecology and Management 2022 505 119868 10.1016/j.foreco.2021.119868
M. Hauglin J. Rahlf J. Schumacher R. Astrup J. Breidenbach Large scale mapping of forest attributes using heterogeneous sets of airborne laser scanning and National Forest Inventory data Forest Ecosystems 2021 8 1 15 10.1186/s40663-021-00338-4
M. Nilsson et al. A nationwide forest attribute map of Sweden predicted using airborne laser scanning data and field data from the National Forest Inventory Remote Sensing of Environment 2017 194 447 454 2017RSEnv.194.447N 10.1016/j.rse.2016.10.022
M. Löw T. Koukal Phenology Modelling and Forest Disturbance Mapping with Sentinel-2 Time Series in Austria Remote Sens. 2020 12 4191 2020RemS..12.4191L 10.3390/rs12244191
B. Putzenlechner et al. Towards precision forestry: Drought response from remote sensing-based disturbance monitoring and fine-scale soil information in Central Europe Science of The Total Environment 2023 880 163114 2023ScTEn.880p3114P 1:CAS:528:DC%2BB3sXotVamtrg%3D 10.1016/j.scitotenv.2023.163114 37011694
C. Bolyn P. Lejeune A. Michez N. Latte Mapping tree species proportions from satellite imagery using spectral–spatial deep learning Remote Sensing of Environment 2022 280 113205 10.1016/j.rse.2022.113205
M. Neumann et al. Comparison of carbon estimation methods for European forests Forest Ecology and Management 2016 361 397 420 10.1016/j.foreco.2015.11.016
G. Grassi et al. Critical adjustment of land mitigation pathways for assessing countries’ climate progress Nature Climate Change 2021 11 5 425 434 2021NatCC.11.425G 10.1038/s41558-021-01033-6
A.M.R. Petrescu et al. The consolidated European synthesis of CO 2 emissions and removals for the European Union and United Kingdom: 1990–2018 Earth System Science Data 2021 13 5 2363 2406 2021ESSD..13.2363R 10.5194/essd-13-2363-2021
D.S. Boyd F.M. Danson Satellite remote sensing of forest resources: three decades of research development Progress in Physical Geography 2005 29 1 1 26 2005PrPG..29..1B 10.1191/0309133305pp432ra
M. Herold et al. The role and need for space-based forest biomass-related measurements in environmental management and policy Surveys in Geophysics 2019 40 757 778 2019SGeo..40.757H 10.1007/s10712-019-09510-6
R.E. McRoberts et al. National forest inventories: prospects for harmonised international reporting National forest inventories 2010 Dordrecht Springer 33 43 10.1007/978-90-481-3233-1_3
R. Pilli R. Alkama A. Cescatti W.A. Kurz G. Grassi The European forest Carbon budget under future climate conditions and current management practices Biogeosciences 2022 19 13 3263 3284 2022BGeo..19.3263P 10.5194/bg-19-3263-2022
Forest Europe. State of Europe’s forests https://fra-data.fao.org/assessments/panEuropean/2020/FE/home/overview (2020).
N.L. Harris et al. Global maps of twenty-first century forest carbon fluxes Nature Climate Change 2021 1 3 234 240 2021NatCC.11.234H 10.1038/s41558-020-00976-6
K. Schulze Ž. Malek P.H. Verburg Towards better mapping of forest management patterns: A global allocation approach Forest Ecology and Management 2019 432 776 785 10.1016/j.foreco.2018.10.001
V. Avitabile A. Camia An assessment of forest biomass maps in Europe using harmonised national statistics and inventory plots Forest ecology and management 2018 409 489 498 10.1016/j.foreco.2017.11.047 29449758 5806600
Gschwantner, T. et al. Common tree definitions for national forest inventories in Europe, Silva Fennica43 (2) https://doi.org/10.14214/sf.463 (2009).
Lanz, A. et al. A sample of COST Action E43 reference definitions. In: E. Tomppo et al. (Eds.), National Forest Inventories – Pathways for common reporting (Springer, Netherlands, 2010).
Korhonen, K. T., Riedel, T. & Lanz, A. (2014). Use of National Forest Inventories data to estimate biomass in the European Forests. Final Report, Specific contract n. 13 in the context of the “Framework contract for the provision of forest data and services in support to the European Forest Data Centre” (Joint Research Centre of the European Commission, Ispra, Italy, 2014).
Henning, L., Korhonen, K. T., Lanz, A. & Riedel, T. Use of National Forest Inventories data to estimate biomass in the European Forests. Final Report, Specific contract n. 17 in the context of the “Framework contract for the provision of forest data and services in support to the European Forest Data Centre” (Joint Research Centre of the European Commission, Ispra, Italy, 2016).
Avitabile V., Pilli R. & Camia A. The Biomass of European Forests. EUR 30462 EN, ISBN 978-92-76-26100-1, https://doi.org/10.2760/758855, JRC122635 (Publications Office of the European Union, Luxembourg, 2020).
Santoro, M. & Cartus, O. ESA Biomass Climate Change Initiative (Biomass_cci): Global datasets of forest above-ground biomass for the years 2010, 2017, 2018, 2019 and 2020, v4. NERC EDS Centre for Environmental Data Analysis, 21 April 2023. https://doi.org/10.5285/af60720c1e404a9e9d2c145d2b2ead4e (2023).
European Environment Agency (EEA). Copernicus Land Monitoring Service. https://land.copernicus.eu/en/products/high-resolution-layer-tree-cover-density (2021).
I. Alberdi et al. Assessing forest availability for wood supply in Europe Forest policy and economics 2020 111 102032 1:STN:280:DC%2BB383gt1CisQ%3D%3D 10.1016/j.forpol.2019.102032 32140044 7043395
I. Alberdi et al. Towards harmonised assessment of European forest availability for wood supply in Europe Forest Policy and Economics 2016 70 20 29 10.1016/j.forpol.2016.05.014
FAO. Global Forest Resources Assessment 2020: Terms and Definitions. Forest Resources Assessment Working Paper 188, Rome, Italy, https://www.fao.org/3/I8661EN/i8661en.pdf (2020).
FAO. Global Forest Resources Assessment 2020: Country Reports https://www.fao.org/forest-resources-assessment/fra-2020/country-reports/en/ (2020).
Lanz, A. Estimators for the E-Forest Platform. Annex to the Final report, Specific Contract n. 8 “Statistical calculations at European level using design based estimators” in the context of the “Framework contract for the provision of forest data and services in support to the European Forest Data Centre” (Joint Research Centre of the European Commission, Ispra, Italy, 2012).
W.A. Kurz et al. CBM-CFS3: a model of carbon-dynamics in forestry and land-use change implementing IPCC standards Ecological modelling 2009 220 4 480 504 10.1016/j.ecolmodel.2008.10.018
Blujdea, V. N. B. et al. The JRC Forest Carbon Model: description of EU-CBM-HAT. https://doi.org/10.2760/244051, JRC130609 (Publications Office of the European Union, Luxembourg, https://publications.jrc.ec.europa.eu/repository/handle/JRC130609 2022).
R. Pilli G. Grassi W.A. Kurz R.A. Viñas N.H. Guerrero Modelling forest carbon stock changes as affected by harvest and natural disturbances. I. Comparison with countries’ estimates for forest management Carbon balance and management 2016 11 1 10.1186/s13021-016-0047-8 27340427 4877427
R. Pilli G. Grassi W.A. Kurz J.V. Moris R.A. Viñas Modelling forest carbon stock changes as affected by harvest and natural disturbances. II. EU-level analysis Carbon balance and management 2016 11 1 10.1186/s13021-016-0059-4 27635153 5002049
R. Pilli G. Grassi W.A. Kurz G. Fiorese A. Cescatti The European forest sector: past and future carbon budget and fluxes under different management scenarios Biogeosciences 2017 14 2387 2405 2017BGeo..14.2387P 1:CAS:528:DC%2BC1cXisV2mt7zF 10.5194/bg-14-2387-2017
Pilli, R., Blujdea, V.N.B., Rougieux, P., Grassi, G. Mubareka, S. B., The calibration of the JRC EU Forest Carbon Model within the historical period 2010–2020. https://doi.org/10.2760/222407, JRC135639 (Publications Office of the European Union, Luxembourg, 2023).
J.P. Renaud et al. Characterizing the calibration domain of remote sensing models using convex hulls International Journal of Applied Earth Observation and Geoinformation 2022 112 102939 10.1016/j.jag.2022.102939
M. Réjou-Méchain et al. Upscaling forest biomass from field to satellite measurements: sources of errors and ways to reduce them Surveys in Geophysics 2019 40 4 881 911 2019SGeo..40.881R 10.1007/s10712-019-09532-0
V. Avitabile et al. An integrated pan‐tropical biomass map using multiple reference datasets Global change biology 2016 22 4 1406 1420 2016GCBio.22.1406A 10.1111/gcb.13139 26499288
A. Araza et al. A comprehensive framework for assessing the accuracy and uncertainty of global above-ground biomass maps Remote Sensing of Environment 2022 272 112917 10.1016/j.rse.2022.112917
L. Du et al. Mapping forest biomass using remote sensing and national forest inventory in China Forests 2014 5 6 1267 1283 10.3390/f5061267
M. Bhan S. Gingrich S. Matej S. Fritz K.H. Erb Land use increases the correlation between tree cover and biomass carbon stocks in the global tropics Land 2021 10 11 1217 10.3390/land10111217
C. Fischer et al. Joining criteria for harmonising European forest available for wood supply estimates. Case studies from national forest inventories Forests 2016 7 5 104 10.3390/f7050104
Alberdi, I., Hernandez, L., Gshwantner, T., Klatt, S. Riedle, T. Use of National Forest Inventories data to estimate area and aboveground biomass in European forests not available for wood supply. Final Report, Specific Contract n. 18 in the context of the “Framework Contract for the provision of forest data and services in support of the European Forest Data Centre (EFDAC)” No. 2012/S78-127532 (Joint Research Centre, European Commission, Ispra, Italy, 2017).
I. Alberdi L. Hernandez T. Riedle S. Schnell B. Petsy Use of National Forest Inventories data to estimate area and aboveground biomass in European forests not available for wood supply. 2019 Ispra, Italy Joint Research Centre, European Commission Final Report, Specific Contract n. 19, in the context of the “Framework Contract for the provision of forest data and services in support of the JRC activities and applications on forest resources”, No. 934340
European Environment Agency (EEA). Copernicus Land Monitoring Service. https://www.eea.europa.eu/en/datahub/datahubitem-view/d08852bc-7b5f-4835-a776-08362e2fbf4b (2016).
UNEP-WCMC and IUCN. Protected Planet: The World Database on Protected Areas (WDPA) www.protectedplanet.net (2023).
de Rigo, D., Caudullo, G., Houston Durrant, T. San-Miguel-Ayanz, J. The European Atlas of Forest Tree Species: modelling, data and information on forest tree species. In: San-Miguel-Ayanz, J., de Rigo, D., Caudullo, G., Houston Durrant, T., Mauri, A. (Eds.), European Atlas of Forest Tree Species. (Publications Office of the European Union, Luxembourg, https://w3id.org/mtv/FISE-Comm/v01/e01aa69 2016).
OpenStreetMap (OSM) https://www.openstreetmap.org/ (2023).
G. Camps-Valls et al. A unified vegetation index for quantifying the terrestrial biosphere Science Advances 2021 7 9 eabc7447 2021SciA..7.7447C 1:CAS:528:DC%2BB3MXpsVartrc%3D 10.1126/sciadv.abc7447 33637524 7909876
T. Gschwantner et al. Comparison of methods used in European National Forest Inventories for the estimation of volume increment: towards harmonisation Annals of forest science 2016 73 4 807 821 10.1007/s13595-016-0554-5
Gschwantner, T. et al. Use of National Forest Inventories data to harmonise and improve the current knowledge on forest increment in Europe. Final Report, Specific Contract No. 20 in the context of the “Framework contract for the provision of forest data and services in support to the JRC activities and applications on forest resources” Contract Number 934340 (Joint Research Centre of the European Commission, Ispra, Italy, 2021).
Gschwantner, T. et al. Use of National Forest Inventories data to harmonise and improve the current knowledge on forest increment in Europe. Final Report, Specific Contract No. 21 in the context of the “Framework contract for the provision of forest data and services in support to the JRC activities and applications on forest resources” Contract Number 934340 (Joint Research Centre of the European Commission, Ispra, Italy, 2022).
V. Avitabile Forest Biomass dataset for Europe 2023 10.6084/m9.figshare.c.6465640 figshare. Collection.
V. Avitabile Forest Biomass dataset for Europe - Supplementary data 2023 10.6084/m9.figshare.c.6787140.v6 figshare. Collection.
C.J. Willmott K. Matsuura Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance Climate research 2005 30 1 79 82 2005ClRes.30..79W 10.3354/cr030079
European Environment Agency (EEA). Copernicus Land Monitoring Service. https://land.copernicus.eu/en/technical-library/hrl-forest-2015-validation-report (2019).
European Environment Agency (EEA). Copernicus Land Monitoring Service. https://land.copernicus.eu/en/technical-library/hrl-forest-2018 (2021).