species composition and population structure of a secondary tropical
evergreen forest in Cachar district, Assam
Borogayary, A.K. Das* and A.J. Nath
Ecology and Environmental Science, Assam University, Silchar - 788 011, India
Author E-mail: email@example.com
Paper received :
Revised received :
Re-revised received :
Accepted : 27.06.2017
composition, structure and dynamics are becoming an important tool to
estimate the level of adaptation to the environment and providing useful
information to their ecological significance. The present study was carreid
out to determine the tree species composition, diversity and population
structure of a secondary tropical evergreen forest in Cachar district, Assam.
of tree was carried out in a permanent plot (1 ha) subdivided into one
hundred (10 m x 10 m) quadrats for enumeration of all trees (≥ 10 cm)
girth at breast height. Girth was measured at (1.37 m) above ground level and
trees of girth size (≥ 10 cm) (gbh) were taken. The tree species were
collected and herbarium was prepared and identified from collection of
herbaria at the Botanical Survey of India, Eastern Regional Centre, Shillong.
total of 2152 stems ha-1 belonging to 52 species, 43 genera and 28
families with a total basal area of 23.80 m2 ha-1 were
recorded. The most dominant families were Sapotaceae, Myrtaceae, Fagaceae,
Euphorbiaceae and Clusiaceae according to the Family Importance Value (FIV)
index. Palaquium polyanthum, Memecylon celastrinum, Castanopsis
purpurella, Artocarpus chaplasha and Cynometra polyandra were five
most dominant and important species in the tropical secondary forest. The
girth size of all species combined followed the reverse-J-curve, typical of
uneven-aged mixed forests.
present study could be useful for understanding the changes in the species
composition during the course of development in a secondary tropical forest
dominated by Palaquium polyanthum (Sapotaceae).
© 2018 Triveni Enterprises. All rights reserved. No part of the Journal can
be reproduced in any form without prior permission. Responsibility
regarding the authenticity of the data, and the acceptability of the
conclusions enforced or derived, rest completely with the author(s).