Near isometric biomass partitioning in forest ecosystems of China.
Near isometric biomass partitioning in forest ecosystems of China.
复制标题
DOI：
10.1371/journal.pone.0086550
复制
发表时间：
2014
期刊：
影响因子：
3.7
通讯作者：
Ren H
中科院分区：
文献类型：
--
作者：
Hui D;Wang J;Shen W;Le X;Ganter P;Ren H
基于等距假设，地下植物生物量（MB）应与地上生物量（MA）等距标度，标度指数不应随环境因子而变化。我们使用在中国收集的大型森林生物量数据库来检验这一假设。与MB和MA相关的异速生长标度函数针对整个数据库和基于树龄、胸径、高度、纬度、经度或海拔的不同群体开发。为了研究标度指数是否与这些生物和非生物因子无关，我们分析了标度指数与这些因子之间的关系。总体MB与MA显著相关，标度指数为0.964。异速生长函数的标度指数不随树龄、密度、纬度或经度而变化，但随胸径、高度和海拔而变化。所有组的标度指数平均值为0.986。在57个标度关系中，26个标度指数与1没有显着差异。我们的研究结果基本上支持等距假设。MB缩放近等距MA和标度指数不随树龄，密度，纬度或经度，但随着树木的大小和海拔增加。虽然拟合一个单一的异速生长的比例关系可能是足够的，估计MB从MA可以改善与大小特定的比例关系。
Based on the isometric hypothesis, belowground plant biomass (MB) should scale isometrically with aboveground biomass (MA) 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 MB and MA 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 MB was significantly related to MA 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. MB scaled near isometrically with MA 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 MB from MA could be improved with size-specific scaling relationships.
登录
查看更多内容
影响因子：
3.7
作者：
CAMPBELL, JS;LIEFFERS, VJ;PIELOU, EC
通讯作者：
PIELOU, EC
影响因子：
3.7
作者：
Hui, Dafeng;Wang, Jun;Ren, Hai
通讯作者：
Ren, Hai
影响因子：
4.2
作者：
DAVIDSON, RL
通讯作者：
DAVIDSON, RL
影响因子：
4.2
作者：
Cheng, Dong-Liang;Niklas, Karl J.
通讯作者：
Niklas, Karl J.
影响因子：
64.8
作者：
Enquist, BJ;Niklas, KJ
通讯作者：
Niklas, KJ