Models and form factors for stand volume estimation in natural forest ecosystems: a case study of Katarniaghat Wildlife Sanctuary (KGWS), Bahraich District, India

编号 zgly0000818187

文献类型 期刊论文

文献题名 Models and form factors for stand volume estimation in natural forest ecosystems: a case study of Katarniaghat Wildlife Sanctuary (KGWS), Bahraich District, India

作者 V.  A.  J  Adekunle  K.  N.  Nair  A.  K.  Srivastava  N.  K.  Singh 

作者单位 Federal  University  of  Technology  National  Botanical  Research  Institute  (Council  for  Scientific  ＆  Industrial  Research)  Plant  Diversity 

母体文献 林业研究: 英文版 

年卷期 2013(2)

页码 217-226

年份 2013 

分类号 S 

关键词 natural  forest  tree  volume  Estimation  biodiversity  tree  height  forest  inventory 

文摘内容 In view of the difficulties in stand volume estimation in natural forests, we derived real form factors and models for volume estimation in these types of forest ecosystems, using Katarniaghat Wildlife Sanctuary as a case study. Tree growth data were obtained for all trees (dbh 〉10 cm) in 4 plots (25 × 25 m) randomly located in each of three strata selected in the forest. The form factor calculated for the stand was 0.42 and a range of 0.42 0.57 was estimated for selected species (density 〉10). The parameters of model variables were consistent with general growth trends of trees and each was statistically significant. There was no significant difference (p〉0.05) between the observed and predicted volumes for all models and there was very high correlation between observed and predicted volumes. The output of the performance statistics and the logical signs of the regression coefficients of the models demonstrated that they are useful for volume estimation with minimal error. Plotting the biases with respect to considerable regressor variables showed no meaningful and evident trend of bias values along with the independent variables. This showed that the models did not violate regression assumptions and there were no heteroscedacity or multiculnarity problems. We recommend use of the form factors and models in this ecosystem and in similar ones for stand and tree volume estimation.