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Tree biomass in the Swiss landscape: nationwide modelling for improved accounting for forest and non-forest trees

Trees outside forest (TOF) can perform a variety of social, economic and ecological functions including carbon sequestration. However, detailed quantification of tree biomass is usually limited to forest areas. Taking advantage of structural information available from stereo aerial imagery and airbo...

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Autores principales: Price, B., Gomez, A., Mathys, L., Gardi, O., Schellenberger, A., Ginzler, C., Thürig, E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5310548/
https://www.ncbi.nlm.nih.gov/pubmed/28205107
http://dx.doi.org/10.1007/s10661-017-5816-7
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author Price, B.
Gomez, A.
Mathys, L.
Gardi, O.
Schellenberger, A.
Ginzler, C.
Thürig, E.
author_facet Price, B.
Gomez, A.
Mathys, L.
Gardi, O.
Schellenberger, A.
Ginzler, C.
Thürig, E.
author_sort Price, B.
collection PubMed
description Trees outside forest (TOF) can perform a variety of social, economic and ecological functions including carbon sequestration. However, detailed quantification of tree biomass is usually limited to forest areas. Taking advantage of structural information available from stereo aerial imagery and airborne laser scanning (ALS), this research models tree biomass using national forest inventory data and linear least-square regression and applies the model both inside and outside of forest to create a nationwide model for tree biomass (above ground and below ground). Validation of the tree biomass model against TOF data within settlement areas shows relatively low model performance (R (2) of 0.44) but still a considerable improvement on current biomass estimates used for greenhouse gas inventory and carbon accounting. We demonstrate an efficient and easily implementable approach to modelling tree biomass across a large heterogeneous nationwide area. The model offers significant opportunity for improved estimates on land use combination categories (CC) where tree biomass has either not been included or only roughly estimated until now. The ALS biomass model also offers the advantage of providing greater spatial resolution and greater within CC spatial variability compared to the current nationwide estimates. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10661-017-5816-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-53105482017-02-28 Tree biomass in the Swiss landscape: nationwide modelling for improved accounting for forest and non-forest trees Price, B. Gomez, A. Mathys, L. Gardi, O. Schellenberger, A. Ginzler, C. Thürig, E. Environ Monit Assess Article Trees outside forest (TOF) can perform a variety of social, economic and ecological functions including carbon sequestration. However, detailed quantification of tree biomass is usually limited to forest areas. Taking advantage of structural information available from stereo aerial imagery and airborne laser scanning (ALS), this research models tree biomass using national forest inventory data and linear least-square regression and applies the model both inside and outside of forest to create a nationwide model for tree biomass (above ground and below ground). Validation of the tree biomass model against TOF data within settlement areas shows relatively low model performance (R (2) of 0.44) but still a considerable improvement on current biomass estimates used for greenhouse gas inventory and carbon accounting. We demonstrate an efficient and easily implementable approach to modelling tree biomass across a large heterogeneous nationwide area. The model offers significant opportunity for improved estimates on land use combination categories (CC) where tree biomass has either not been included or only roughly estimated until now. The ALS biomass model also offers the advantage of providing greater spatial resolution and greater within CC spatial variability compared to the current nationwide estimates. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10661-017-5816-7) contains supplementary material, which is available to authorized users. Springer International Publishing 2017-02-15 2017 /pmc/articles/PMC5310548/ /pubmed/28205107 http://dx.doi.org/10.1007/s10661-017-5816-7 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Price, B.
Gomez, A.
Mathys, L.
Gardi, O.
Schellenberger, A.
Ginzler, C.
Thürig, E.
Tree biomass in the Swiss landscape: nationwide modelling for improved accounting for forest and non-forest trees
title Tree biomass in the Swiss landscape: nationwide modelling for improved accounting for forest and non-forest trees
title_full Tree biomass in the Swiss landscape: nationwide modelling for improved accounting for forest and non-forest trees
title_fullStr Tree biomass in the Swiss landscape: nationwide modelling for improved accounting for forest and non-forest trees
title_full_unstemmed Tree biomass in the Swiss landscape: nationwide modelling for improved accounting for forest and non-forest trees
title_short Tree biomass in the Swiss landscape: nationwide modelling for improved accounting for forest and non-forest trees
title_sort tree biomass in the swiss landscape: nationwide modelling for improved accounting for forest and non-forest trees
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5310548/
https://www.ncbi.nlm.nih.gov/pubmed/28205107
http://dx.doi.org/10.1007/s10661-017-5816-7
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