Modelling Tree Growth in Monospecific Forests from Forest Inventory Data
The prediction of tree growth is key to further understand the carbon sink role of forests and the short-term forest capacity on climate change mitigation. In this work, we used large-scale data available from three consecutive forest inventories in a Euro-Mediterranean region and the Bertalanffy–Ch...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-06-01
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| Series: | Forests |
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| Online Access: | https://www.mdpi.com/1999-4907/12/6/753 |
| _version_ | 1797531010479423488 |
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| author | Guadalupe Sáez-Cano Marcos Marvá Paloma Ruiz-Benito Miguel A. Zavala |
| author_facet | Guadalupe Sáez-Cano Marcos Marvá Paloma Ruiz-Benito Miguel A. Zavala |
| author_sort | Guadalupe Sáez-Cano |
| collection | DOAJ |
| description | The prediction of tree growth is key to further understand the carbon sink role of forests and the short-term forest capacity on climate change mitigation. In this work, we used large-scale data available from three consecutive forest inventories in a Euro-Mediterranean region and the Bertalanffy–Chapman–Richards equation to model up to a decade’s tree size variation in monospecific forests in the growing stages. We showed that a tree-level fitting with ordinary differential equations can be used to forecast tree diameter growth across time and space as function of environmental characteristics and initial size. This modelling approximation was applied at different aggregation levels to monospecific regions with forest inventories to predict trends in aboveground tree biomass stocks. Furthermore, we showed that this model accurately forecasts tree growth temporal dynamics as a function of size and environmental conditions. Further research to provide longer term prediction forest stock dynamics in a wide variety of forests should model regeneration and mortality processes and biotic interactions. |
| first_indexed | 2024-03-10T10:38:03Z |
| format | Article |
| id | doaj.art-662d57ddd52d48f2ad61ab02da2d4eb8 |
| institution | Directory Open Access Journal |
| issn | 1999-4907 |
| language | English |
| last_indexed | 2024-03-10T10:38:03Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Forests |
| spelling | doaj.art-662d57ddd52d48f2ad61ab02da2d4eb82023-11-21T23:10:38ZengMDPI AGForests1999-49072021-06-0112675310.3390/f12060753Modelling Tree Growth in Monospecific Forests from Forest Inventory DataGuadalupe Sáez-Cano0Marcos Marvá1Paloma Ruiz-Benito2Miguel A. Zavala3Forest Ecology and Restoration Group, Departamento de Física y Matemáticas, Facultad de Ciencias, Universidad de Alcalá, 28805 Madrid, SpainForest Ecology and Restoration Group, Departamento de Física y Matemáticas, Facultad de Ciencias, Universidad de Alcalá, 28805 Madrid, SpainForest Ecology and Restoration Group, Departamento de Ciencias de la Vida, Facultad de Ciencias, Universidad de Alcalá, 28805 Madrid, SpainForest Ecology and Restoration Group, Edificio Ciencias, Campus Universitario, Universidad de Alcalá, 28805 Alcalá de Henares, SpainThe prediction of tree growth is key to further understand the carbon sink role of forests and the short-term forest capacity on climate change mitigation. In this work, we used large-scale data available from three consecutive forest inventories in a Euro-Mediterranean region and the Bertalanffy–Chapman–Richards equation to model up to a decade’s tree size variation in monospecific forests in the growing stages. We showed that a tree-level fitting with ordinary differential equations can be used to forecast tree diameter growth across time and space as function of environmental characteristics and initial size. This modelling approximation was applied at different aggregation levels to monospecific regions with forest inventories to predict trends in aboveground tree biomass stocks. Furthermore, we showed that this model accurately forecasts tree growth temporal dynamics as a function of size and environmental conditions. Further research to provide longer term prediction forest stock dynamics in a wide variety of forests should model regeneration and mortality processes and biotic interactions.https://www.mdpi.com/1999-4907/12/6/753carbon storagedifferential equationsNational Forest Inventorydbh dynamicsshort-term prediction |
| spellingShingle | Guadalupe Sáez-Cano Marcos Marvá Paloma Ruiz-Benito Miguel A. Zavala Modelling Tree Growth in Monospecific Forests from Forest Inventory Data Forests carbon storage differential equations National Forest Inventory dbh dynamics short-term prediction |
| title | Modelling Tree Growth in Monospecific Forests from Forest Inventory Data |
| title_full | Modelling Tree Growth in Monospecific Forests from Forest Inventory Data |
| title_fullStr | Modelling Tree Growth in Monospecific Forests from Forest Inventory Data |
| title_full_unstemmed | Modelling Tree Growth in Monospecific Forests from Forest Inventory Data |
| title_short | Modelling Tree Growth in Monospecific Forests from Forest Inventory Data |
| title_sort | modelling tree growth in monospecific forests from forest inventory data |
| topic | carbon storage differential equations National Forest Inventory dbh dynamics short-term prediction |
| url | https://www.mdpi.com/1999-4907/12/6/753 |
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