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Comparative Study on Tree Diversity and Population Structure in Two Forest Types of Nagaland, India

  • Gaurav MishraEmail author
  • P. K. Das
Research Article
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Abstract

A study was carried out to investigate the population structure and tree species diversity in two different forest types of Nagaland. A total of 40 and 48 quadrats were plotted randomly in subtropical semi evergreen (SSE) and tropical wet evergreen (TWE) forest, respectively; and trees having > 10 cm girth at breast height were measured. Maximum 38 tree species belonging to 25 families in SEE and 30 species belonging to 24 families were recorded in TWE forest. Both the forest types were dominated by the tree species belonging to the Meliaceae family. A total of 613 individuals/ha with 1728.23 m2 basal area were recorded in TWE forest as compared to the 512 individuals/ha with 2363.88 m2 basal area in SSE forest. Shannon and Simpson diversity indices varied from 3.27–2.69 and 0.05–0.10, respectively. Moreover, 30–60 cm girth class showed higher number of individuals followed by 60–90 cm class. Tectona grandis, Gmelina arborea and Duabanga grandiflora were the dominant species in SSE, while TWE was dominated by Gmelina arborea and Grevillea robusta. The present study provides baseline data on population structure and diversity of trees in two forest types of Nagaland.

Keywords

Eastern Himalaya Nagaland Forest types Tree diversity 
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Notes

Acknowledgements

The authors thankfully acknowledge the financial support provided by Indian Council of Forestry Research and Education (ICFRE), Dehradun, India, for this study. They also thank to the Department of Forests, Ecology, Environment and Wildlife, Govt. of Nagaland, for granting permission to carry out the field work.

Compliance with Ethical Standards

Conflict of interest

The authors declare that they have no conflict of interest to publish this manuscript.

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Copyright information

© The National Academy of Sciences, India 2018

Authors and Affiliations

  1. 1.Rain Forest Research InstituteJorhatIndia
  2. 2.Institute of Forest ProductivityRanchiIndia

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