Harmonized classification of forest types in the iberian peninsula based on national forest inventories

21 Pág.

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Bibliographic Details
Main Authors: Nunes, Leónia, Moreno, Mauro, Alberdi, Iciar, Álvarez-González, Juan Gabriel, Godinho-Ferreira, Paulo, Mazzoleni, Stefano, Castro Rego, Francisco
Other Authors: European Commission
Format: artículo biblioteca
Language:English
Published: Multidisciplinary Digital Publishing Institute 2020-11-02
Subjects:Composition of canopy layers, Forest vegetation, Harmonization of data, National forest inventories, Portugal, Spain,
Online Access:http://hdl.handle.net/10261/337659
http://dx.doi.org/10.13039/501100010198
http://dx.doi.org/10.13039/501100000780
https://api.elsevier.com/content/abstract/scopus_id/85096039830
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record_format koha
institution INIA ES
collection DSpace
country España
countrycode ES
component Bibliográfico
access En linea
databasecode dig-inia-es
tag biblioteca
region Europa del Sur
libraryname Biblioteca del INIA España
language English
topic Composition of canopy layers
Forest vegetation
Harmonization of data
National forest inventories
Portugal
Spain
Composition of canopy layers
Forest vegetation
Harmonization of data
National forest inventories
Portugal
Spain
spellingShingle Composition of canopy layers
Forest vegetation
Harmonization of data
National forest inventories
Portugal
Spain
Composition of canopy layers
Forest vegetation
Harmonization of data
National forest inventories
Portugal
Spain
Nunes, Leónia
Moreno, Mauro
Alberdi, Iciar
Álvarez-González, Juan Gabriel
Godinho-Ferreira, Paulo
Mazzoleni, Stefano
Castro Rego, Francisco
Harmonized classification of forest types in the iberian peninsula based on national forest inventories
description 21 Pág.
author2 European Commission
author_facet European Commission
Nunes, Leónia
Moreno, Mauro
Alberdi, Iciar
Álvarez-González, Juan Gabriel
Godinho-Ferreira, Paulo
Mazzoleni, Stefano
Castro Rego, Francisco
format artículo
topic_facet Composition of canopy layers
Forest vegetation
Harmonization of data
National forest inventories
Portugal
Spain
author Nunes, Leónia
Moreno, Mauro
Alberdi, Iciar
Álvarez-González, Juan Gabriel
Godinho-Ferreira, Paulo
Mazzoleni, Stefano
Castro Rego, Francisco
author_sort Nunes, Leónia
title Harmonized classification of forest types in the iberian peninsula based on national forest inventories
title_short Harmonized classification of forest types in the iberian peninsula based on national forest inventories
title_full Harmonized classification of forest types in the iberian peninsula based on national forest inventories
title_fullStr Harmonized classification of forest types in the iberian peninsula based on national forest inventories
title_full_unstemmed Harmonized classification of forest types in the iberian peninsula based on national forest inventories
title_sort harmonized classification of forest types in the iberian peninsula based on national forest inventories
publisher Multidisciplinary Digital Publishing Institute
publishDate 2020-11-02
url http://hdl.handle.net/10261/337659
http://dx.doi.org/10.13039/501100010198
http://dx.doi.org/10.13039/501100000780
https://api.elsevier.com/content/abstract/scopus_id/85096039830
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spelling dig-inia-es-10261-3376592024-05-17T20:54:41Z Harmonized classification of forest types in the iberian peninsula based on national forest inventories Nunes, Leónia Moreno, Mauro Alberdi, Iciar Álvarez-González, Juan Gabriel Godinho-Ferreira, Paulo Mazzoleni, Stefano Castro Rego, Francisco European Commission Foundation for Science and Technology Ministerio de Economía, Industria y Competitividad (España) Nunes, Leónia [0000-0002-2617-0468] Alberdi, Iciar [0000-0003-1338-8465] Álvarez-González, Juan Gabriel [0000-0002-5206-9128] Godinho-Ferreira, Paulo [0000-0002-1582-4577] Castro Rego, Francisco [0000-0003-0060-5192] Composition of canopy layers Forest vegetation Harmonization of data National forest inventories Portugal Spain 21 Pág. National Forest Inventories (NFIs) collect and provide a large amount of information regarding the forest volume, carbon stocks, vitality, biodiversity, non-wood forest products and their changes. Forest stands variables data are paramount to understanding their composition, especially on those related with understory characteristics and the coverage of species according to canopy layers; they are essential to assess biodiversity and to support forest management. At the same time, these inventories allow the development of harmonized forest descriptions beyond the national scale. This study aims to develop a homogeneous characterization of the Iberian Peninsula’s forests, in order to classify and identify the forest types. For this purpose, harmonized data from NFIs of Portugal and Spain were used to assess the composition of species, dominance and the percentage of cover for each species in a vertical space defined by seven canopy layers. Using the “K-means” clustering algorithm, a set of clusters was identified and georeferenced using forest polygons from land use and cover maps of both countries. The interpretation and description of the clusters lead to the establishment of 28 forest types that characterize all of the Iberian Peninsula forests. Each forest area has been described through one of the forest types and their relation with other ecological characteristics of the stands was analyzed. Shrubs formations are generally widely distributed in the forest area of the Iberian Peninsula, however their abundance in terms of cover is lower in comparison with tree species. Around 71% of the forest types are dominated by trees, mainly species from the genera Pinus and Quercus, and 21% are dominated by shrub formations with species of Ulex spp., Cytisus spp., and Cistus spp. The Quercus ilex s.l. L. and Pinus pinaster Aiton are the common species of importance for both NFIs. The results represent a powerful and homogenous multi-use tool describing the Iberian Peninsula’s forestlands with applications on landscape analysis, forest management and conservation. This information can be used for comparisons at larger scales, allowing cross-border analysis in relation to various aspects, such as hazards and wildfires, as well as management and conservation of forest biodiversity. The developed method is adaptable to an updated dataset from more recent NFIs and to other study areas. This research was funded from the European Union’s Horizon 2020 research and innovation programme, DIABOLO project “Distributed, integrated and harmonized forest information for bioeconomy outlooks”, EU Grant Agreement no. 633464, from the EXTREME project “Influence of VOCs (volatile organic compounds) on the extreme behavior of forest fires” (PCIF/GFC/0078/2018), Foundation for Science and Technology, and from the VIS4FIRE project (RTA 2017-0042-C05-05), Spanish Ministry of Economy,Industry, and Competitiveness. Peer reviewed 2023-10-24T10:06:25Z 2023-10-24T10:06:25Z 2020-11-02 artículo http://purl.org/coar/resource_type/c_6501 Forests 11(11): 1-21 (2020) http://hdl.handle.net/10261/337659 10.3390/f11111170 1999-4907 http://dx.doi.org/10.13039/501100010198 http://dx.doi.org/10.13039/501100000780 2-s2.0-85096039830 https://api.elsevier.com/content/abstract/scopus_id/85096039830 en #PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/EC/H2020/633464 info:eu-repo/grantAgreement/MINECO//RTA 2017-0042-C05-05 Instituto de Ciencias Forestales (ICIFOR) Publisher's version https://doi.org/10.3390/f11111170 Sí open application/pdf Multidisciplinary Digital Publishing Institute