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Consequences of different sample drying temperatures for accuracy of biomass inventories in forest ecosystems
Biomass estimation is one of the crucial tasks of forest ecology. Drying tree material is a crucial stage of preparing biomass estimation tools. However, at this step researchers use different drying temperatures, but we do not know how this influences accuracy of models. We aimed to assess differen...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7525458/ https://www.ncbi.nlm.nih.gov/pubmed/32994525 http://dx.doi.org/10.1038/s41598-020-73053-9 |
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author | Jagodziński, Andrzej M. Dyderski, Marcin K. Gęsikiewicz, Kamil Horodecki, Paweł |
author_facet | Jagodziński, Andrzej M. Dyderski, Marcin K. Gęsikiewicz, Kamil Horodecki, Paweł |
author_sort | Jagodziński, Andrzej M. |
collection | PubMed |
description | Biomass estimation is one of the crucial tasks of forest ecology. Drying tree material is a crucial stage of preparing biomass estimation tools. However, at this step researchers use different drying temperatures, but we do not know how this influences accuracy of models. We aimed to assess differences in dry biomass between two drying temperatures (75 °C and 105 °C) in tree biomass components and to provide coefficients allowing for recalculation between the given temperatures. We used a set of 1440 samples from bark, branches, foliage and wood of eight European tree species: Abies alba Mill., Alnus glutinosa (L.) Gaertn., Betula pendula Roth., Fagus sylvatica L., Larix decidua Mill., Picea abies (L.) H. Karst., Pinus sylvestris L. and Quercus robur L. The differences between drying temperatures were 1.67%, 1.76%, 2.20% and 0.96% of sample dry masses of bark, branches, foliage and stem wood, respectively. Tree species influenced these differences. Our study provided coefficients allowing for recalculation of masses between the two temperatures, to unify results from different studies. However, the difference in dry mass between the two temperatures studied is lower than the range of uncertainty of biomass models, thus its influence on results of large-scale biomass assessments is low. |
format | Online Article Text |
id | pubmed-7525458 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75254582020-10-01 Consequences of different sample drying temperatures for accuracy of biomass inventories in forest ecosystems Jagodziński, Andrzej M. Dyderski, Marcin K. Gęsikiewicz, Kamil Horodecki, Paweł Sci Rep Article Biomass estimation is one of the crucial tasks of forest ecology. Drying tree material is a crucial stage of preparing biomass estimation tools. However, at this step researchers use different drying temperatures, but we do not know how this influences accuracy of models. We aimed to assess differences in dry biomass between two drying temperatures (75 °C and 105 °C) in tree biomass components and to provide coefficients allowing for recalculation between the given temperatures. We used a set of 1440 samples from bark, branches, foliage and wood of eight European tree species: Abies alba Mill., Alnus glutinosa (L.) Gaertn., Betula pendula Roth., Fagus sylvatica L., Larix decidua Mill., Picea abies (L.) H. Karst., Pinus sylvestris L. and Quercus robur L. The differences between drying temperatures were 1.67%, 1.76%, 2.20% and 0.96% of sample dry masses of bark, branches, foliage and stem wood, respectively. Tree species influenced these differences. Our study provided coefficients allowing for recalculation of masses between the two temperatures, to unify results from different studies. However, the difference in dry mass between the two temperatures studied is lower than the range of uncertainty of biomass models, thus its influence on results of large-scale biomass assessments is low. Nature Publishing Group UK 2020-09-29 /pmc/articles/PMC7525458/ /pubmed/32994525 http://dx.doi.org/10.1038/s41598-020-73053-9 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Jagodziński, Andrzej M. Dyderski, Marcin K. Gęsikiewicz, Kamil Horodecki, Paweł Consequences of different sample drying temperatures for accuracy of biomass inventories in forest ecosystems |
title | Consequences of different sample drying temperatures for accuracy of biomass inventories in forest ecosystems |
title_full | Consequences of different sample drying temperatures for accuracy of biomass inventories in forest ecosystems |
title_fullStr | Consequences of different sample drying temperatures for accuracy of biomass inventories in forest ecosystems |
title_full_unstemmed | Consequences of different sample drying temperatures for accuracy of biomass inventories in forest ecosystems |
title_short | Consequences of different sample drying temperatures for accuracy of biomass inventories in forest ecosystems |
title_sort | consequences of different sample drying temperatures for accuracy of biomass inventories in forest ecosystems |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7525458/ https://www.ncbi.nlm.nih.gov/pubmed/32994525 http://dx.doi.org/10.1038/s41598-020-73053-9 |
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