National Forest Inventory and forest observational studies in Spain Applications to forest modeling

According to official statistics, forest and other wooded lands cover 54.4% of the Spanish national territory. However, approximately 39.2% of Spanish forest lands are under different types of protection and only 18.4 million ha (36% of the country) are true forests or plantations. Four main forest ecoregions can be distinguished in Spain Mediterranean, Atlantic, Alpine and Subtropical (Macaronesic). The particular characteristics of these eco-regions determine the particular types of forest resource utilisation. Three objectives are dominant (a) biodiversity conservation (main objective in the Macaronesic area), (b) timber production (important in the Atlantic region) and (c) multifunctionality as well as non-timber products (important in the Mediterranean and Alpine ecoregions). In the second half of the 20th century, the combination of new Permanent Plot Networks (PPN), silvicultural trials (covering a wide range of species and site conditions), and the National Forest Inventory (NFI), made possible to develop new forest models, especially during recent years due to advances of statistical software combined with improved field observations. New forest models for different tree species, management purposes and regions have been developed at different scales, including whole stand and individual-tree approaches, and taking into account forest diversity and end-user aims. The combination of PPN and NFI allows further improvement of the models, including additional output functions to estimate tree and stand variables related to specific objectives (e.g. crown fire risk). The advantages and disadvantages of Forest Observational Studies (FOS) and National Forest Inventory data for developing forest models are discussed. Finally, an example of synergy between FOS and NFI observations for developing dynamic growth models for intensively managed forest in the Atlantic ecoregion is presented. © 2013 Elsevier B.V.

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Main Authors: Álvarez-González, J. G., Cañellas, I., Alberdi, I., Gadow, K. V., Ruiz-González, A. D.
Format: journal article biblioteca
Language:eng
Published: 2014
Online Access:http://hdl.handle.net/20.500.12792/1041
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spelling dig-inia-es-20.500.12792-10412020-12-15T09:15:20Z National Forest Inventory and forest observational studies in Spain Applications to forest modeling Álvarez-González, J. G. Cañellas, I. Alberdi, I. Gadow, K. V. Ruiz-González, A. D. According to official statistics, forest and other wooded lands cover 54.4% of the Spanish national territory. However, approximately 39.2% of Spanish forest lands are under different types of protection and only 18.4 million ha (36% of the country) are true forests or plantations. Four main forest ecoregions can be distinguished in Spain Mediterranean, Atlantic, Alpine and Subtropical (Macaronesic). The particular characteristics of these eco-regions determine the particular types of forest resource utilisation. Three objectives are dominant (a) biodiversity conservation (main objective in the Macaronesic area), (b) timber production (important in the Atlantic region) and (c) multifunctionality as well as non-timber products (important in the Mediterranean and Alpine ecoregions). In the second half of the 20th century, the combination of new Permanent Plot Networks (PPN), silvicultural trials (covering a wide range of species and site conditions), and the National Forest Inventory (NFI), made possible to develop new forest models, especially during recent years due to advances of statistical software combined with improved field observations. New forest models for different tree species, management purposes and regions have been developed at different scales, including whole stand and individual-tree approaches, and taking into account forest diversity and end-user aims. The combination of PPN and NFI allows further improvement of the models, including additional output functions to estimate tree and stand variables related to specific objectives (e.g. crown fire risk). The advantages and disadvantages of Forest Observational Studies (FOS) and National Forest Inventory data for developing forest models are discussed. Finally, an example of synergy between FOS and NFI observations for developing dynamic growth models for intensively managed forest in the Atlantic ecoregion is presented. © 2013 Elsevier B.V. 2020-10-22T11:43:39Z 2020-10-22T11:43:39Z 2014 journal article http://hdl.handle.net/20.500.12792/1041 10.1016/j.foreco.2013.09.007 eng Attribution-NonCommercial-ShareAlike 4.0 International http://creativecommons.org/licenses/by-nc-sa/4.0/ open access
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country España
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libraryname Biblioteca del INIA España
language eng
description According to official statistics, forest and other wooded lands cover 54.4% of the Spanish national territory. However, approximately 39.2% of Spanish forest lands are under different types of protection and only 18.4 million ha (36% of the country) are true forests or plantations. Four main forest ecoregions can be distinguished in Spain Mediterranean, Atlantic, Alpine and Subtropical (Macaronesic). The particular characteristics of these eco-regions determine the particular types of forest resource utilisation. Three objectives are dominant (a) biodiversity conservation (main objective in the Macaronesic area), (b) timber production (important in the Atlantic region) and (c) multifunctionality as well as non-timber products (important in the Mediterranean and Alpine ecoregions). In the second half of the 20th century, the combination of new Permanent Plot Networks (PPN), silvicultural trials (covering a wide range of species and site conditions), and the National Forest Inventory (NFI), made possible to develop new forest models, especially during recent years due to advances of statistical software combined with improved field observations. New forest models for different tree species, management purposes and regions have been developed at different scales, including whole stand and individual-tree approaches, and taking into account forest diversity and end-user aims. The combination of PPN and NFI allows further improvement of the models, including additional output functions to estimate tree and stand variables related to specific objectives (e.g. crown fire risk). The advantages and disadvantages of Forest Observational Studies (FOS) and National Forest Inventory data for developing forest models are discussed. Finally, an example of synergy between FOS and NFI observations for developing dynamic growth models for intensively managed forest in the Atlantic ecoregion is presented. © 2013 Elsevier B.V.
format journal article
author Álvarez-González, J. G.
Cañellas, I.
Alberdi, I.
Gadow, K. V.
Ruiz-González, A. D.
spellingShingle Álvarez-González, J. G.
Cañellas, I.
Alberdi, I.
Gadow, K. V.
Ruiz-González, A. D.
National Forest Inventory and forest observational studies in Spain Applications to forest modeling
author_facet Álvarez-González, J. G.
Cañellas, I.
Alberdi, I.
Gadow, K. V.
Ruiz-González, A. D.
author_sort Álvarez-González, J. G.
title National Forest Inventory and forest observational studies in Spain Applications to forest modeling
title_short National Forest Inventory and forest observational studies in Spain Applications to forest modeling
title_full National Forest Inventory and forest observational studies in Spain Applications to forest modeling
title_fullStr National Forest Inventory and forest observational studies in Spain Applications to forest modeling
title_full_unstemmed National Forest Inventory and forest observational studies in Spain Applications to forest modeling
title_sort national forest inventory and forest observational studies in spain applications to forest modeling
publishDate 2014
url http://hdl.handle.net/20.500.12792/1041
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AT gadowkv nationalforestinventoryandforestobservationalstudiesinspainapplicationstoforestmodeling
AT ruizgonzalezad nationalforestinventoryandforestobservationalstudiesinspainapplicationstoforestmodeling
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