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Tree-ring widths are good proxies of annual variation in forest productivity in temperate forests
Tree rings have long been used to calibrate the net primary production (NPP) time-series predicted by process-based models, based on an implicit assumption that ring-width indices (RWI) can well reflect temporal NPP change. However, this assumption has seldom been tested systematically. In this stud...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5434002/ https://www.ncbi.nlm.nih.gov/pubmed/28512329 http://dx.doi.org/10.1038/s41598-017-02022-6 |
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author | Xu, Kai Wang, Xiangping Liang, Penghong An, Hailong Sun, Han Han, Wei Li, Qiaoyan |
author_facet | Xu, Kai Wang, Xiangping Liang, Penghong An, Hailong Sun, Han Han, Wei Li, Qiaoyan |
author_sort | Xu, Kai |
collection | PubMed |
description | Tree rings have long been used to calibrate the net primary production (NPP) time-series predicted by process-based models, based on an implicit assumption that ring-width indices (RWI) can well reflect temporal NPP change. However, this assumption has seldom been tested systematically. In this study, 36 plots were set in three forest types from four sites along a latitudinal gradient in northeast China. For each plot, we constructed chronologies and stand NPP of the past 20 years to examine: is RWI a good proxy of inter-annual variation of forest NPP for different forest types under different climate? If it is, why? Our results indicate that RWI was closely related to stand NPP in most cases, and could be used as a good proxy of NPP in temperate forests. Standard and arstan chronologies were better related to NPP series than residual chronology. Stand NPP time-series were mainly determined by large trees, and the correlation between RWI and NPP was also higher for larger trees. We suggest that large trees and dominant species of canopy layer should be sampled for chronology construction. Large trees are major contributors of forest biomass and productivity, and should have priority in forest conservation in a rapid-warming world. |
format | Online Article Text |
id | pubmed-5434002 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-54340022017-05-17 Tree-ring widths are good proxies of annual variation in forest productivity in temperate forests Xu, Kai Wang, Xiangping Liang, Penghong An, Hailong Sun, Han Han, Wei Li, Qiaoyan Sci Rep Article Tree rings have long been used to calibrate the net primary production (NPP) time-series predicted by process-based models, based on an implicit assumption that ring-width indices (RWI) can well reflect temporal NPP change. However, this assumption has seldom been tested systematically. In this study, 36 plots were set in three forest types from four sites along a latitudinal gradient in northeast China. For each plot, we constructed chronologies and stand NPP of the past 20 years to examine: is RWI a good proxy of inter-annual variation of forest NPP for different forest types under different climate? If it is, why? Our results indicate that RWI was closely related to stand NPP in most cases, and could be used as a good proxy of NPP in temperate forests. Standard and arstan chronologies were better related to NPP series than residual chronology. Stand NPP time-series were mainly determined by large trees, and the correlation between RWI and NPP was also higher for larger trees. We suggest that large trees and dominant species of canopy layer should be sampled for chronology construction. Large trees are major contributors of forest biomass and productivity, and should have priority in forest conservation in a rapid-warming world. Nature Publishing Group UK 2017-05-16 /pmc/articles/PMC5434002/ /pubmed/28512329 http://dx.doi.org/10.1038/s41598-017-02022-6 Text en © The Author(s) 2017 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Xu, Kai Wang, Xiangping Liang, Penghong An, Hailong Sun, Han Han, Wei Li, Qiaoyan Tree-ring widths are good proxies of annual variation in forest productivity in temperate forests |
title | Tree-ring widths are good proxies of annual variation in forest productivity in temperate forests |
title_full | Tree-ring widths are good proxies of annual variation in forest productivity in temperate forests |
title_fullStr | Tree-ring widths are good proxies of annual variation in forest productivity in temperate forests |
title_full_unstemmed | Tree-ring widths are good proxies of annual variation in forest productivity in temperate forests |
title_short | Tree-ring widths are good proxies of annual variation in forest productivity in temperate forests |
title_sort | tree-ring widths are good proxies of annual variation in forest productivity in temperate forests |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5434002/ https://www.ncbi.nlm.nih.gov/pubmed/28512329 http://dx.doi.org/10.1038/s41598-017-02022-6 |
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