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Factors controlling throughfall in a Pinus tabulaeformis forest in North China
The factors that control throughfall in Pinus tabulaeformis plantations were investigated using linear and curve analyses based on direct measurements of rainfall, throughfall and stemflow from 36 rainfall events. The results showed the following: (1) there was significant spatial heterogeneity in t...
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/PMC5656610/ https://www.ncbi.nlm.nih.gov/pubmed/29070837 http://dx.doi.org/10.1038/s41598-017-14464-z |
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author | Wei, Xi Bi, Huaxing Liang, Wenjun |
author_facet | Wei, Xi Bi, Huaxing Liang, Wenjun |
author_sort | Wei, Xi |
collection | PubMed |
description | The factors that control throughfall in Pinus tabulaeformis plantations were investigated using linear and curve analyses based on direct measurements of rainfall, throughfall and stemflow from 36 rainfall events. The results showed the following: (1) there was significant spatial heterogeneity in throughfall rates in P. tabulaeformis plots; (2) the throughfall rate increased with increasing rainfall; and (3) the rate of increase gradually decreased. When rainfall reached approximately 25 mm, the throughfall rate stabilized. The coefficient of variation of the throughfall rate decreased with increasing rainfall, with a peak at approximately 10 mm of rainfall. The coefficient of variation of throughfall stabilized at 20%, and the coefficient of variation of the throughfall rate stabilized at 17%. A linear regression equation (R(2) = 0.76) was derived by fitting the P. tabulaeformis average diameter at breast height (DBH), average tree height, average branch height, stand density, canopy thickness, canopy density, and the rainfall and throughfall rate. A highly positive correlation was found between the throughfall rate, canopy density, rainfall class and tree height (P < 0.01). By establishing a quadratic response surface model of the stand structure indicators and the throughfall rate, R(2) was increased to 0.85 (P < 0.01). The quadratic regression analysis demonstrated a highly positive correlation between throughfall rate, canopy density and rainfall class. |
format | Online Article Text |
id | pubmed-5656610 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-56566102017-10-31 Factors controlling throughfall in a Pinus tabulaeformis forest in North China Wei, Xi Bi, Huaxing Liang, Wenjun Sci Rep Article The factors that control throughfall in Pinus tabulaeformis plantations were investigated using linear and curve analyses based on direct measurements of rainfall, throughfall and stemflow from 36 rainfall events. The results showed the following: (1) there was significant spatial heterogeneity in throughfall rates in P. tabulaeformis plots; (2) the throughfall rate increased with increasing rainfall; and (3) the rate of increase gradually decreased. When rainfall reached approximately 25 mm, the throughfall rate stabilized. The coefficient of variation of the throughfall rate decreased with increasing rainfall, with a peak at approximately 10 mm of rainfall. The coefficient of variation of throughfall stabilized at 20%, and the coefficient of variation of the throughfall rate stabilized at 17%. A linear regression equation (R(2) = 0.76) was derived by fitting the P. tabulaeformis average diameter at breast height (DBH), average tree height, average branch height, stand density, canopy thickness, canopy density, and the rainfall and throughfall rate. A highly positive correlation was found between the throughfall rate, canopy density, rainfall class and tree height (P < 0.01). By establishing a quadratic response surface model of the stand structure indicators and the throughfall rate, R(2) was increased to 0.85 (P < 0.01). The quadratic regression analysis demonstrated a highly positive correlation between throughfall rate, canopy density and rainfall class. Nature Publishing Group UK 2017-10-25 /pmc/articles/PMC5656610/ /pubmed/29070837 http://dx.doi.org/10.1038/s41598-017-14464-z 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 Wei, Xi Bi, Huaxing Liang, Wenjun Factors controlling throughfall in a Pinus tabulaeformis forest in North China |
title | Factors controlling throughfall in a Pinus tabulaeformis forest in North China |
title_full | Factors controlling throughfall in a Pinus tabulaeformis forest in North China |
title_fullStr | Factors controlling throughfall in a Pinus tabulaeformis forest in North China |
title_full_unstemmed | Factors controlling throughfall in a Pinus tabulaeformis forest in North China |
title_short | Factors controlling throughfall in a Pinus tabulaeformis forest in North China |
title_sort | factors controlling throughfall in a pinus tabulaeformis forest in north china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5656610/ https://www.ncbi.nlm.nih.gov/pubmed/29070837 http://dx.doi.org/10.1038/s41598-017-14464-z |
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