Species-specific, pan-European diameter increment models based on data of 2.3 million trees
Background Over the last decades, many forest simulators have been developed for the forests of individual European countries. The underlying growth models are usually based on national datasets of varying size, obtained from National Forest Inventories or from long-term research plots. Many of thes...
Ausführliche Beschreibung
Autor*in: |
Schelhaas, Mart-Jan [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
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2018 |
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Anmerkung: |
© The Author(s). 2018 |
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Übergeordnetes Werk: |
Enthalten in: Forest Ecosystems - Berlin : SpringerOpen, 2014, 5(2018), 1 vom: 03. Apr. |
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Übergeordnetes Werk: |
volume:5 ; year:2018 ; number:1 ; day:03 ; month:04 |
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DOI / URN: |
10.1186/s40663-018-0133-3 |
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Katalog-ID: |
SPR03713809X |
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100 | 1 | |a Schelhaas, Mart-Jan |e verfasserin |4 aut | |
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520 | |a Background Over the last decades, many forest simulators have been developed for the forests of individual European countries. The underlying growth models are usually based on national datasets of varying size, obtained from National Forest Inventories or from long-term research plots. Many of these models include country- and location-specific predictors, such as site quality indices that may aggregate climate, soil properties and topography effects. Consequently, it is not sensible to compare such models among countries, and it is often impossible to apply models outside the region or country they were developed for. However, there is a clear need for more generically applicable but still locally accurate and climate sensitive simulators at the European scale, which requires the development of models that are applicable across the European continent. The purpose of this study is to develop tree diameter increment models that are applicable at the European scale, but still locally accurate. We compiled and used a dataset of diameter increment observations of over 2.3 million trees from 10 National Forest Inventories in Europe and a set of 99 potential explanatory variables covering forest structure, weather, climate, soil and nutrient deposition. Results Diameter increment models are presented for 20 species/species groups. Selection of explanatory variables was done using a combination of forward and backward selection methods. The explained variance ranged from 10% to 53% depending on the species. Variables related to forest structure (basal area of the stand and relative size of the tree) contributed most to the explained variance, but environmental variables were important to account for spatial patterns. The type of environmental variables included differed greatly among species. Conclusions The presented diameter increment models are the first of their kind that are applicable at the European scale. This is an important step towards the development of a new generation of forest development simulators that can be applied at the European scale, but that are sensitive to variations in growing conditions and applicable to a wider range of management systems than before. This allows European scale but detailed analyses concerning topics like $ CO_{2} $ sequestration, wood mobilisation, long term impact of management, etc. | ||
650 | 4 | |a European forests |7 (dpeaa)DE-He213 | |
650 | 4 | |a Diameter increment model |7 (dpeaa)DE-He213 | |
650 | 4 | |a Climate change |7 (dpeaa)DE-He213 | |
650 | 4 | |a Growth modelling |7 (dpeaa)DE-He213 | |
650 | 4 | |a National forest inventory |7 (dpeaa)DE-He213 | |
700 | 1 | |a Hengeveld, Geerten M |4 aut | |
700 | 1 | |a Heidema, Nanny |4 aut | |
700 | 1 | |a Thürig, Esther |4 aut | |
700 | 1 | |a Rohner, Brigitte |4 aut | |
700 | 1 | |a Vacchiano, Giorgio |4 aut | |
700 | 1 | |a Vayreda, Jordi |4 aut | |
700 | 1 | |a Redmond, John |4 aut | |
700 | 1 | |a Socha, Jarosław |4 aut | |
700 | 1 | |a Fridman, Jonas |4 aut | |
700 | 1 | |a Tomter, Stein |4 aut | |
700 | 1 | |a Polley, Heino |4 aut | |
700 | 1 | |a Barreiro, Susana |4 aut | |
700 | 1 | |a Nabuurs, Gert-Jan |4 aut | |
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10.1186/s40663-018-0133-3 doi (DE-627)SPR03713809X (SPR)s40663-018-0133-3-e DE-627 ger DE-627 rakwb eng Schelhaas, Mart-Jan verfasserin aut Species-specific, pan-European diameter increment models based on data of 2.3 million trees 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2018 Background Over the last decades, many forest simulators have been developed for the forests of individual European countries. The underlying growth models are usually based on national datasets of varying size, obtained from National Forest Inventories or from long-term research plots. Many of these models include country- and location-specific predictors, such as site quality indices that may aggregate climate, soil properties and topography effects. Consequently, it is not sensible to compare such models among countries, and it is often impossible to apply models outside the region or country they were developed for. However, there is a clear need for more generically applicable but still locally accurate and climate sensitive simulators at the European scale, which requires the development of models that are applicable across the European continent. The purpose of this study is to develop tree diameter increment models that are applicable at the European scale, but still locally accurate. We compiled and used a dataset of diameter increment observations of over 2.3 million trees from 10 National Forest Inventories in Europe and a set of 99 potential explanatory variables covering forest structure, weather, climate, soil and nutrient deposition. Results Diameter increment models are presented for 20 species/species groups. Selection of explanatory variables was done using a combination of forward and backward selection methods. The explained variance ranged from 10% to 53% depending on the species. Variables related to forest structure (basal area of the stand and relative size of the tree) contributed most to the explained variance, but environmental variables were important to account for spatial patterns. The type of environmental variables included differed greatly among species. Conclusions The presented diameter increment models are the first of their kind that are applicable at the European scale. This is an important step towards the development of a new generation of forest development simulators that can be applied at the European scale, but that are sensitive to variations in growing conditions and applicable to a wider range of management systems than before. This allows European scale but detailed analyses concerning topics like $ CO_{2} $ sequestration, wood mobilisation, long term impact of management, etc. European forests (dpeaa)DE-He213 Diameter increment model (dpeaa)DE-He213 Climate change (dpeaa)DE-He213 Growth modelling (dpeaa)DE-He213 National forest inventory (dpeaa)DE-He213 Hengeveld, Geerten M aut Heidema, Nanny aut Thürig, Esther aut Rohner, Brigitte aut Vacchiano, Giorgio aut Vayreda, Jordi aut Redmond, John aut Socha, Jarosław aut Fridman, Jonas aut Tomter, Stein aut Polley, Heino aut Barreiro, Susana aut Nabuurs, Gert-Jan aut Enthalten in Forest Ecosystems Berlin : SpringerOpen, 2014 5(2018), 1 vom: 03. Apr. (DE-627)780378881 (DE-600)2760380-5 2197-5620 nnns volume:5 year:2018 number:1 day:03 month:04 https://dx.doi.org/10.1186/s40663-018-0133-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2036 GBV_ILN_2037 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4346 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 5 2018 1 03 04 |
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10.1186/s40663-018-0133-3 doi (DE-627)SPR03713809X (SPR)s40663-018-0133-3-e DE-627 ger DE-627 rakwb eng Schelhaas, Mart-Jan verfasserin aut Species-specific, pan-European diameter increment models based on data of 2.3 million trees 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2018 Background Over the last decades, many forest simulators have been developed for the forests of individual European countries. The underlying growth models are usually based on national datasets of varying size, obtained from National Forest Inventories or from long-term research plots. Many of these models include country- and location-specific predictors, such as site quality indices that may aggregate climate, soil properties and topography effects. Consequently, it is not sensible to compare such models among countries, and it is often impossible to apply models outside the region or country they were developed for. However, there is a clear need for more generically applicable but still locally accurate and climate sensitive simulators at the European scale, which requires the development of models that are applicable across the European continent. The purpose of this study is to develop tree diameter increment models that are applicable at the European scale, but still locally accurate. We compiled and used a dataset of diameter increment observations of over 2.3 million trees from 10 National Forest Inventories in Europe and a set of 99 potential explanatory variables covering forest structure, weather, climate, soil and nutrient deposition. Results Diameter increment models are presented for 20 species/species groups. Selection of explanatory variables was done using a combination of forward and backward selection methods. The explained variance ranged from 10% to 53% depending on the species. Variables related to forest structure (basal area of the stand and relative size of the tree) contributed most to the explained variance, but environmental variables were important to account for spatial patterns. The type of environmental variables included differed greatly among species. Conclusions The presented diameter increment models are the first of their kind that are applicable at the European scale. This is an important step towards the development of a new generation of forest development simulators that can be applied at the European scale, but that are sensitive to variations in growing conditions and applicable to a wider range of management systems than before. This allows European scale but detailed analyses concerning topics like $ CO_{2} $ sequestration, wood mobilisation, long term impact of management, etc. European forests (dpeaa)DE-He213 Diameter increment model (dpeaa)DE-He213 Climate change (dpeaa)DE-He213 Growth modelling (dpeaa)DE-He213 National forest inventory (dpeaa)DE-He213 Hengeveld, Geerten M aut Heidema, Nanny aut Thürig, Esther aut Rohner, Brigitte aut Vacchiano, Giorgio aut Vayreda, Jordi aut Redmond, John aut Socha, Jarosław aut Fridman, Jonas aut Tomter, Stein aut Polley, Heino aut Barreiro, Susana aut Nabuurs, Gert-Jan aut Enthalten in Forest Ecosystems Berlin : SpringerOpen, 2014 5(2018), 1 vom: 03. Apr. (DE-627)780378881 (DE-600)2760380-5 2197-5620 nnns volume:5 year:2018 number:1 day:03 month:04 https://dx.doi.org/10.1186/s40663-018-0133-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2036 GBV_ILN_2037 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4346 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 5 2018 1 03 04 |
allfields_unstemmed |
10.1186/s40663-018-0133-3 doi (DE-627)SPR03713809X (SPR)s40663-018-0133-3-e DE-627 ger DE-627 rakwb eng Schelhaas, Mart-Jan verfasserin aut Species-specific, pan-European diameter increment models based on data of 2.3 million trees 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2018 Background Over the last decades, many forest simulators have been developed for the forests of individual European countries. The underlying growth models are usually based on national datasets of varying size, obtained from National Forest Inventories or from long-term research plots. Many of these models include country- and location-specific predictors, such as site quality indices that may aggregate climate, soil properties and topography effects. Consequently, it is not sensible to compare such models among countries, and it is often impossible to apply models outside the region or country they were developed for. However, there is a clear need for more generically applicable but still locally accurate and climate sensitive simulators at the European scale, which requires the development of models that are applicable across the European continent. The purpose of this study is to develop tree diameter increment models that are applicable at the European scale, but still locally accurate. We compiled and used a dataset of diameter increment observations of over 2.3 million trees from 10 National Forest Inventories in Europe and a set of 99 potential explanatory variables covering forest structure, weather, climate, soil and nutrient deposition. Results Diameter increment models are presented for 20 species/species groups. Selection of explanatory variables was done using a combination of forward and backward selection methods. The explained variance ranged from 10% to 53% depending on the species. Variables related to forest structure (basal area of the stand and relative size of the tree) contributed most to the explained variance, but environmental variables were important to account for spatial patterns. The type of environmental variables included differed greatly among species. Conclusions The presented diameter increment models are the first of their kind that are applicable at the European scale. This is an important step towards the development of a new generation of forest development simulators that can be applied at the European scale, but that are sensitive to variations in growing conditions and applicable to a wider range of management systems than before. This allows European scale but detailed analyses concerning topics like $ CO_{2} $ sequestration, wood mobilisation, long term impact of management, etc. European forests (dpeaa)DE-He213 Diameter increment model (dpeaa)DE-He213 Climate change (dpeaa)DE-He213 Growth modelling (dpeaa)DE-He213 National forest inventory (dpeaa)DE-He213 Hengeveld, Geerten M aut Heidema, Nanny aut Thürig, Esther aut Rohner, Brigitte aut Vacchiano, Giorgio aut Vayreda, Jordi aut Redmond, John aut Socha, Jarosław aut Fridman, Jonas aut Tomter, Stein aut Polley, Heino aut Barreiro, Susana aut Nabuurs, Gert-Jan aut Enthalten in Forest Ecosystems Berlin : SpringerOpen, 2014 5(2018), 1 vom: 03. Apr. (DE-627)780378881 (DE-600)2760380-5 2197-5620 nnns volume:5 year:2018 number:1 day:03 month:04 https://dx.doi.org/10.1186/s40663-018-0133-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2036 GBV_ILN_2037 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4346 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 5 2018 1 03 04 |
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10.1186/s40663-018-0133-3 doi (DE-627)SPR03713809X (SPR)s40663-018-0133-3-e DE-627 ger DE-627 rakwb eng Schelhaas, Mart-Jan verfasserin aut Species-specific, pan-European diameter increment models based on data of 2.3 million trees 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2018 Background Over the last decades, many forest simulators have been developed for the forests of individual European countries. The underlying growth models are usually based on national datasets of varying size, obtained from National Forest Inventories or from long-term research plots. Many of these models include country- and location-specific predictors, such as site quality indices that may aggregate climate, soil properties and topography effects. Consequently, it is not sensible to compare such models among countries, and it is often impossible to apply models outside the region or country they were developed for. However, there is a clear need for more generically applicable but still locally accurate and climate sensitive simulators at the European scale, which requires the development of models that are applicable across the European continent. The purpose of this study is to develop tree diameter increment models that are applicable at the European scale, but still locally accurate. We compiled and used a dataset of diameter increment observations of over 2.3 million trees from 10 National Forest Inventories in Europe and a set of 99 potential explanatory variables covering forest structure, weather, climate, soil and nutrient deposition. Results Diameter increment models are presented for 20 species/species groups. Selection of explanatory variables was done using a combination of forward and backward selection methods. The explained variance ranged from 10% to 53% depending on the species. Variables related to forest structure (basal area of the stand and relative size of the tree) contributed most to the explained variance, but environmental variables were important to account for spatial patterns. The type of environmental variables included differed greatly among species. Conclusions The presented diameter increment models are the first of their kind that are applicable at the European scale. This is an important step towards the development of a new generation of forest development simulators that can be applied at the European scale, but that are sensitive to variations in growing conditions and applicable to a wider range of management systems than before. This allows European scale but detailed analyses concerning topics like $ CO_{2} $ sequestration, wood mobilisation, long term impact of management, etc. European forests (dpeaa)DE-He213 Diameter increment model (dpeaa)DE-He213 Climate change (dpeaa)DE-He213 Growth modelling (dpeaa)DE-He213 National forest inventory (dpeaa)DE-He213 Hengeveld, Geerten M aut Heidema, Nanny aut Thürig, Esther aut Rohner, Brigitte aut Vacchiano, Giorgio aut Vayreda, Jordi aut Redmond, John aut Socha, Jarosław aut Fridman, Jonas aut Tomter, Stein aut Polley, Heino aut Barreiro, Susana aut Nabuurs, Gert-Jan aut Enthalten in Forest Ecosystems Berlin : SpringerOpen, 2014 5(2018), 1 vom: 03. Apr. (DE-627)780378881 (DE-600)2760380-5 2197-5620 nnns volume:5 year:2018 number:1 day:03 month:04 https://dx.doi.org/10.1186/s40663-018-0133-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2036 GBV_ILN_2037 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4346 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 5 2018 1 03 04 |
allfieldsSound |
10.1186/s40663-018-0133-3 doi (DE-627)SPR03713809X (SPR)s40663-018-0133-3-e DE-627 ger DE-627 rakwb eng Schelhaas, Mart-Jan verfasserin aut Species-specific, pan-European diameter increment models based on data of 2.3 million trees 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2018 Background Over the last decades, many forest simulators have been developed for the forests of individual European countries. The underlying growth models are usually based on national datasets of varying size, obtained from National Forest Inventories or from long-term research plots. Many of these models include country- and location-specific predictors, such as site quality indices that may aggregate climate, soil properties and topography effects. Consequently, it is not sensible to compare such models among countries, and it is often impossible to apply models outside the region or country they were developed for. However, there is a clear need for more generically applicable but still locally accurate and climate sensitive simulators at the European scale, which requires the development of models that are applicable across the European continent. The purpose of this study is to develop tree diameter increment models that are applicable at the European scale, but still locally accurate. We compiled and used a dataset of diameter increment observations of over 2.3 million trees from 10 National Forest Inventories in Europe and a set of 99 potential explanatory variables covering forest structure, weather, climate, soil and nutrient deposition. Results Diameter increment models are presented for 20 species/species groups. Selection of explanatory variables was done using a combination of forward and backward selection methods. The explained variance ranged from 10% to 53% depending on the species. Variables related to forest structure (basal area of the stand and relative size of the tree) contributed most to the explained variance, but environmental variables were important to account for spatial patterns. The type of environmental variables included differed greatly among species. Conclusions The presented diameter increment models are the first of their kind that are applicable at the European scale. This is an important step towards the development of a new generation of forest development simulators that can be applied at the European scale, but that are sensitive to variations in growing conditions and applicable to a wider range of management systems than before. This allows European scale but detailed analyses concerning topics like $ CO_{2} $ sequestration, wood mobilisation, long term impact of management, etc. European forests (dpeaa)DE-He213 Diameter increment model (dpeaa)DE-He213 Climate change (dpeaa)DE-He213 Growth modelling (dpeaa)DE-He213 National forest inventory (dpeaa)DE-He213 Hengeveld, Geerten M aut Heidema, Nanny aut Thürig, Esther aut Rohner, Brigitte aut Vacchiano, Giorgio aut Vayreda, Jordi aut Redmond, John aut Socha, Jarosław aut Fridman, Jonas aut Tomter, Stein aut Polley, Heino aut Barreiro, Susana aut Nabuurs, Gert-Jan aut Enthalten in Forest Ecosystems Berlin : SpringerOpen, 2014 5(2018), 1 vom: 03. Apr. (DE-627)780378881 (DE-600)2760380-5 2197-5620 nnns volume:5 year:2018 number:1 day:03 month:04 https://dx.doi.org/10.1186/s40663-018-0133-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2036 GBV_ILN_2037 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4346 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 5 2018 1 03 04 |
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Schelhaas, Mart-Jan @@aut@@ Hengeveld, Geerten M @@aut@@ Heidema, Nanny @@aut@@ Thürig, Esther @@aut@@ Rohner, Brigitte @@aut@@ Vacchiano, Giorgio @@aut@@ Vayreda, Jordi @@aut@@ Redmond, John @@aut@@ Socha, Jarosław @@aut@@ Fridman, Jonas @@aut@@ Tomter, Stein @@aut@@ Polley, Heino @@aut@@ Barreiro, Susana @@aut@@ Nabuurs, Gert-Jan @@aut@@ |
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Schelhaas, Mart-Jan |
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Schelhaas, Mart-Jan misc European forests misc Diameter increment model misc Climate change misc Growth modelling misc National forest inventory Species-specific, pan-European diameter increment models based on data of 2.3 million trees |
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Species-specific, pan-European diameter increment models based on data of 2.3 million trees European forests (dpeaa)DE-He213 Diameter increment model (dpeaa)DE-He213 Climate change (dpeaa)DE-He213 Growth modelling (dpeaa)DE-He213 National forest inventory (dpeaa)DE-He213 |
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Species-specific, pan-European diameter increment models based on data of 2.3 million trees |
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Species-specific, pan-European diameter increment models based on data of 2.3 million trees |
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Schelhaas, Mart-Jan Hengeveld, Geerten M Heidema, Nanny Thürig, Esther Rohner, Brigitte Vacchiano, Giorgio Vayreda, Jordi Redmond, John Socha, Jarosław Fridman, Jonas Tomter, Stein Polley, Heino Barreiro, Susana Nabuurs, Gert-Jan |
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10.1186/s40663-018-0133-3 |
title_sort |
species-specific, pan-european diameter increment models based on data of 2.3 million trees |
title_auth |
Species-specific, pan-European diameter increment models based on data of 2.3 million trees |
abstract |
Background Over the last decades, many forest simulators have been developed for the forests of individual European countries. The underlying growth models are usually based on national datasets of varying size, obtained from National Forest Inventories or from long-term research plots. Many of these models include country- and location-specific predictors, such as site quality indices that may aggregate climate, soil properties and topography effects. Consequently, it is not sensible to compare such models among countries, and it is often impossible to apply models outside the region or country they were developed for. However, there is a clear need for more generically applicable but still locally accurate and climate sensitive simulators at the European scale, which requires the development of models that are applicable across the European continent. The purpose of this study is to develop tree diameter increment models that are applicable at the European scale, but still locally accurate. We compiled and used a dataset of diameter increment observations of over 2.3 million trees from 10 National Forest Inventories in Europe and a set of 99 potential explanatory variables covering forest structure, weather, climate, soil and nutrient deposition. Results Diameter increment models are presented for 20 species/species groups. Selection of explanatory variables was done using a combination of forward and backward selection methods. The explained variance ranged from 10% to 53% depending on the species. Variables related to forest structure (basal area of the stand and relative size of the tree) contributed most to the explained variance, but environmental variables were important to account for spatial patterns. The type of environmental variables included differed greatly among species. Conclusions The presented diameter increment models are the first of their kind that are applicable at the European scale. This is an important step towards the development of a new generation of forest development simulators that can be applied at the European scale, but that are sensitive to variations in growing conditions and applicable to a wider range of management systems than before. This allows European scale but detailed analyses concerning topics like $ CO_{2} $ sequestration, wood mobilisation, long term impact of management, etc. © The Author(s). 2018 |
abstractGer |
Background Over the last decades, many forest simulators have been developed for the forests of individual European countries. The underlying growth models are usually based on national datasets of varying size, obtained from National Forest Inventories or from long-term research plots. Many of these models include country- and location-specific predictors, such as site quality indices that may aggregate climate, soil properties and topography effects. Consequently, it is not sensible to compare such models among countries, and it is often impossible to apply models outside the region or country they were developed for. However, there is a clear need for more generically applicable but still locally accurate and climate sensitive simulators at the European scale, which requires the development of models that are applicable across the European continent. The purpose of this study is to develop tree diameter increment models that are applicable at the European scale, but still locally accurate. We compiled and used a dataset of diameter increment observations of over 2.3 million trees from 10 National Forest Inventories in Europe and a set of 99 potential explanatory variables covering forest structure, weather, climate, soil and nutrient deposition. Results Diameter increment models are presented for 20 species/species groups. Selection of explanatory variables was done using a combination of forward and backward selection methods. The explained variance ranged from 10% to 53% depending on the species. Variables related to forest structure (basal area of the stand and relative size of the tree) contributed most to the explained variance, but environmental variables were important to account for spatial patterns. The type of environmental variables included differed greatly among species. Conclusions The presented diameter increment models are the first of their kind that are applicable at the European scale. This is an important step towards the development of a new generation of forest development simulators that can be applied at the European scale, but that are sensitive to variations in growing conditions and applicable to a wider range of management systems than before. This allows European scale but detailed analyses concerning topics like $ CO_{2} $ sequestration, wood mobilisation, long term impact of management, etc. © The Author(s). 2018 |
abstract_unstemmed |
Background Over the last decades, many forest simulators have been developed for the forests of individual European countries. The underlying growth models are usually based on national datasets of varying size, obtained from National Forest Inventories or from long-term research plots. Many of these models include country- and location-specific predictors, such as site quality indices that may aggregate climate, soil properties and topography effects. Consequently, it is not sensible to compare such models among countries, and it is often impossible to apply models outside the region or country they were developed for. However, there is a clear need for more generically applicable but still locally accurate and climate sensitive simulators at the European scale, which requires the development of models that are applicable across the European continent. The purpose of this study is to develop tree diameter increment models that are applicable at the European scale, but still locally accurate. We compiled and used a dataset of diameter increment observations of over 2.3 million trees from 10 National Forest Inventories in Europe and a set of 99 potential explanatory variables covering forest structure, weather, climate, soil and nutrient deposition. Results Diameter increment models are presented for 20 species/species groups. Selection of explanatory variables was done using a combination of forward and backward selection methods. The explained variance ranged from 10% to 53% depending on the species. Variables related to forest structure (basal area of the stand and relative size of the tree) contributed most to the explained variance, but environmental variables were important to account for spatial patterns. The type of environmental variables included differed greatly among species. Conclusions The presented diameter increment models are the first of their kind that are applicable at the European scale. This is an important step towards the development of a new generation of forest development simulators that can be applied at the European scale, but that are sensitive to variations in growing conditions and applicable to a wider range of management systems than before. This allows European scale but detailed analyses concerning topics like $ CO_{2} $ sequestration, wood mobilisation, long term impact of management, etc. © The Author(s). 2018 |
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title_short |
Species-specific, pan-European diameter increment models based on data of 2.3 million trees |
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https://dx.doi.org/10.1186/s40663-018-0133-3 |
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Hengeveld, Geerten M Heidema, Nanny Thürig, Esther Rohner, Brigitte Vacchiano, Giorgio Vayreda, Jordi Redmond, John Socha, Jarosław Fridman, Jonas Tomter, Stein Polley, Heino Barreiro, Susana Nabuurs, Gert-Jan |
author2Str |
Hengeveld, Geerten M Heidema, Nanny Thürig, Esther Rohner, Brigitte Vacchiano, Giorgio Vayreda, Jordi Redmond, John Socha, Jarosław Fridman, Jonas Tomter, Stein Polley, Heino Barreiro, Susana Nabuurs, Gert-Jan |
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up_date |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR03713809X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230328182224.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2018 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1186/s40663-018-0133-3</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR03713809X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s40663-018-0133-3-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Schelhaas, Mart-Jan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Species-specific, pan-European diameter increment models based on data of 2.3 million trees</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2018</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s). 2018</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background Over the last decades, many forest simulators have been developed for the forests of individual European countries. The underlying growth models are usually based on national datasets of varying size, obtained from National Forest Inventories or from long-term research plots. Many of these models include country- and location-specific predictors, such as site quality indices that may aggregate climate, soil properties and topography effects. Consequently, it is not sensible to compare such models among countries, and it is often impossible to apply models outside the region or country they were developed for. However, there is a clear need for more generically applicable but still locally accurate and climate sensitive simulators at the European scale, which requires the development of models that are applicable across the European continent. The purpose of this study is to develop tree diameter increment models that are applicable at the European scale, but still locally accurate. We compiled and used a dataset of diameter increment observations of over 2.3 million trees from 10 National Forest Inventories in Europe and a set of 99 potential explanatory variables covering forest structure, weather, climate, soil and nutrient deposition. Results Diameter increment models are presented for 20 species/species groups. Selection of explanatory variables was done using a combination of forward and backward selection methods. The explained variance ranged from 10% to 53% depending on the species. Variables related to forest structure (basal area of the stand and relative size of the tree) contributed most to the explained variance, but environmental variables were important to account for spatial patterns. The type of environmental variables included differed greatly among species. Conclusions The presented diameter increment models are the first of their kind that are applicable at the European scale. This is an important step towards the development of a new generation of forest development simulators that can be applied at the European scale, but that are sensitive to variations in growing conditions and applicable to a wider range of management systems than before. 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