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Citation:

Study on Diversity Indices of Tree Diameter Size

  • Received Date: 2016-02-24
  • [Objective] To evaluate the tree size diversity of natural and artificial forest.[Method] The data of 6 sample plots were compared and used to estimate the 6 size diversity indices, including size diversity indices that based on diameter distribution of Simpson (DN), Shannon (HN) and individual tree basal area of Gini coefficient (GC), and the size diversity indices that based on differentiation of diameter distribution of Simpson (DT), Shannon(HT) and its mean value (T).[Result] The results showed that the size diversity logical ranking of the 6 plots was successively the contrastive plot of Juglans mandshurica mixed broadleaf-conifer forest in Jilin> the structure-based forest managed plot of J. mandshurica mixed broadleaf-conifer forest in Jilin > the structure-based forest managed plot of Quercus aliena var. acutiserrata broadleaved mixed forest in Gansu > the contrastive plot of Q. aliena var. acutiserrata broadleaved mixed forest in Gansu > the plot of Pinus tabulaeformis and Larix gmelinii mixed plantation> the plot of Platycladus orientalis mixed plantation. The size diversity of natural forest was higher than that of the artificial forest, the more matured stand of old-growth forests in Jilin was higher than half-matured forest in Gansu, the stand been applied structure-based forest management for at least 5 years was higher than the contrastive plot, the mixed artificial stand was higher than the pure artificial stand.[Conclusion] The ordering results of methods GC, HN and DN showed inconformity to the logical ranking, stating that the methods based on diameter distribution could not properly express the differences of size diversity. The ordering results of methods T, DT and HT showed conformity to the logical ranking, stating that the methods based on diameter differentiation distribution could properly express the differences of diameter diversity among the 6 plots. It was better for T to discriminate the differences among 6 plots than DT and HT, due to its ability to estimate continuous variable, reflecting the differential degree between the target trees and the nearest neighboring trees, and that prone to explain its biological meaning. Therefore, it is considered that the T as the best method to express the diameter size diversity.
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Study on Diversity Indices of Tree Diameter Size

  • 1. Key Laboratory of Tree Breeding and Cultivation, State Forestry Administration

Abstract: [Objective] To evaluate the tree size diversity of natural and artificial forest.[Method] The data of 6 sample plots were compared and used to estimate the 6 size diversity indices, including size diversity indices that based on diameter distribution of Simpson (DN), Shannon (HN) and individual tree basal area of Gini coefficient (GC), and the size diversity indices that based on differentiation of diameter distribution of Simpson (DT), Shannon(HT) and its mean value (T).[Result] The results showed that the size diversity logical ranking of the 6 plots was successively the contrastive plot of Juglans mandshurica mixed broadleaf-conifer forest in Jilin> the structure-based forest managed plot of J. mandshurica mixed broadleaf-conifer forest in Jilin > the structure-based forest managed plot of Quercus aliena var. acutiserrata broadleaved mixed forest in Gansu > the contrastive plot of Q. aliena var. acutiserrata broadleaved mixed forest in Gansu > the plot of Pinus tabulaeformis and Larix gmelinii mixed plantation> the plot of Platycladus orientalis mixed plantation. The size diversity of natural forest was higher than that of the artificial forest, the more matured stand of old-growth forests in Jilin was higher than half-matured forest in Gansu, the stand been applied structure-based forest management for at least 5 years was higher than the contrastive plot, the mixed artificial stand was higher than the pure artificial stand.[Conclusion] The ordering results of methods GC, HN and DN showed inconformity to the logical ranking, stating that the methods based on diameter distribution could not properly express the differences of size diversity. The ordering results of methods T, DT and HT showed conformity to the logical ranking, stating that the methods based on diameter differentiation distribution could properly express the differences of diameter diversity among the 6 plots. It was better for T to discriminate the differences among 6 plots than DT and HT, due to its ability to estimate continuous variable, reflecting the differential degree between the target trees and the nearest neighboring trees, and that prone to explain its biological meaning. Therefore, it is considered that the T as the best method to express the diameter size diversity.

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