Cargando…
Near Isometric Biomass Partitioning in Forest Ecosystems of China
Based on the isometric hypothesis, belowground plant biomass (M(B)) should scale isometrically with aboveground biomass (M(A)) and the scaling exponent should not vary with environmental factors. We tested this hypothesis using a large forest biomass database collected in China. Allometric scaling f...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3899269/ https://www.ncbi.nlm.nih.gov/pubmed/24466149 http://dx.doi.org/10.1371/journal.pone.0086550 |
_version_ | 1782300546938437632 |
---|---|
author | Hui, Dafeng Wang, Jun Shen, Weijun Le, Xuan Ganter, Philip Ren, Hai |
author_facet | Hui, Dafeng Wang, Jun Shen, Weijun Le, Xuan Ganter, Philip Ren, Hai |
author_sort | Hui, Dafeng |
collection | PubMed |
description | Based on the isometric hypothesis, belowground plant biomass (M(B)) should scale isometrically with aboveground biomass (M(A)) and the scaling exponent should not vary with environmental factors. We tested this hypothesis using a large forest biomass database collected in China. Allometric scaling functions relating M(B) and M(A) were developed for the entire database and for different groups based on tree age, diameter at breast height, height, latitude, longitude or elevation. To investigate whether the scaling exponent is independent of these biotic and abiotic factors, we analyzed the relationship between the scaling exponent and these factors. Overall M(B) was significantly related to M(A) with a scaling exponent of 0.964. The scaling exponent of the allometric function did not vary with tree age, density, latitude, or longitude, but varied with diameter at breast height, height, and elevation. The mean of the scaling exponent over all groups was 0.986. Among 57 scaling relationships developed, 26 of the scaling exponents were not significantly different from 1. Our results generally support the isometric hypothesis. M(B) scaled near isometrically with M(A) and the scaling exponent did not vary with tree age, density, latitude, or longitude, but increased with tree size and elevation. While fitting a single allometric scaling relationship may be adequate, the estimation of M(B) from M(A) could be improved with size-specific scaling relationships. |
format | Online Article Text |
id | pubmed-3899269 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-38992692014-01-24 Near Isometric Biomass Partitioning in Forest Ecosystems of China Hui, Dafeng Wang, Jun Shen, Weijun Le, Xuan Ganter, Philip Ren, Hai PLoS One Research Article Based on the isometric hypothesis, belowground plant biomass (M(B)) should scale isometrically with aboveground biomass (M(A)) and the scaling exponent should not vary with environmental factors. We tested this hypothesis using a large forest biomass database collected in China. Allometric scaling functions relating M(B) and M(A) were developed for the entire database and for different groups based on tree age, diameter at breast height, height, latitude, longitude or elevation. To investigate whether the scaling exponent is independent of these biotic and abiotic factors, we analyzed the relationship between the scaling exponent and these factors. Overall M(B) was significantly related to M(A) with a scaling exponent of 0.964. The scaling exponent of the allometric function did not vary with tree age, density, latitude, or longitude, but varied with diameter at breast height, height, and elevation. The mean of the scaling exponent over all groups was 0.986. Among 57 scaling relationships developed, 26 of the scaling exponents were not significantly different from 1. Our results generally support the isometric hypothesis. M(B) scaled near isometrically with M(A) and the scaling exponent did not vary with tree age, density, latitude, or longitude, but increased with tree size and elevation. While fitting a single allometric scaling relationship may be adequate, the estimation of M(B) from M(A) could be improved with size-specific scaling relationships. Public Library of Science 2014-01-22 /pmc/articles/PMC3899269/ /pubmed/24466149 http://dx.doi.org/10.1371/journal.pone.0086550 Text en © 2014 Hui et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Hui, Dafeng Wang, Jun Shen, Weijun Le, Xuan Ganter, Philip Ren, Hai Near Isometric Biomass Partitioning in Forest Ecosystems of China |
title | Near Isometric Biomass Partitioning in Forest Ecosystems of China |
title_full | Near Isometric Biomass Partitioning in Forest Ecosystems of China |
title_fullStr | Near Isometric Biomass Partitioning in Forest Ecosystems of China |
title_full_unstemmed | Near Isometric Biomass Partitioning in Forest Ecosystems of China |
title_short | Near Isometric Biomass Partitioning in Forest Ecosystems of China |
title_sort | near isometric biomass partitioning in forest ecosystems of china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3899269/ https://www.ncbi.nlm.nih.gov/pubmed/24466149 http://dx.doi.org/10.1371/journal.pone.0086550 |
work_keys_str_mv | AT huidafeng nearisometricbiomasspartitioninginforestecosystemsofchina AT wangjun nearisometricbiomasspartitioninginforestecosystemsofchina AT shenweijun nearisometricbiomasspartitioninginforestecosystemsofchina AT lexuan nearisometricbiomasspartitioninginforestecosystemsofchina AT ganterphilip nearisometricbiomasspartitioninginforestecosystemsofchina AT renhai nearisometricbiomasspartitioninginforestecosystemsofchina |