Floristic Composition, Diversity and Stand Structure of Tropical Forests in Popa Mountain Park

Abstract

Safeguarding biodiversity is an important component of the REDD+ scheme of the United NationsFramework Convention on Climate Change. Information on tree species and their distribution is therefore needed for successful implementation of forestry carbon projects. Forest inventory data were collected in four natural forests located in Popa Mountain Park, Myanmar. Based on the data from 4-ha sample plots, average stem density ranges from 1293 trees ha −1 in dry dipterocarp forest to 804 tree ha −1 in dry evergreen forest. According to the Jackknife estimator for species richness (trees with DBH ≥ 5 cm), the highest number of species was recorded in dry mixed deciduous forest-74 species ha −1 , and the lowest number of species recorded in dry forest-40 species ha −1 . Dry mixed deciduous forest occupied the highest value on the Shannon-Wiener index and Simpson diversity index while the lowest was in dry forest, indicating that dry mixed deciduous forest is the most complex whereas dry forest is the simplest community. Not only does this study provide useful information on the current status of vegetation type but the information is important for designing forestry management systems that could result in biodiversity conservation and carbon emission reductions.Y. Y. Aye et al. 1589 * DMDF = dry mixed deciduous forest, DDF= dry dipterocarp forest, DF= dry forest, DHEF = dry hill/evergreen forest, DBH = diameter at breast height, Ht = height, BA = basal area, Vol = volume.

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“…Most frequent family diversity of trees in the garden were Leguminosae (8 species), Combretaceae, Meliaceae (4 species each) and Moraceae (3 species) in the survey as reflected in Figure 2. This is congruent with findings in a Brazilian and Myanmar protected tropical forest where Combretaceae and Leguminosae families form part of the dominant species [17,18]. Leguminosae and Combretaceae families probably possess broad spectrum of species, mostly easily adapted and usually produce large quantities of seed usually with long shelf life.…”

Diversity and Growth Characteristics of Tree Species in the Botanical Gardens, University of Ibadan, Nigeria

“…This is congruent with findings in a Brazilian and Myanmar protected tropical forest where Combretaceae and Leguminosae families form part of the dominant species [17,18]. Leguminosae and Combretaceae families probably possess broad spectrum of species, mostly easily adapted and usually produce large quantities of seed usually with long shelf life.…”

The competitiveness of the phytosociological attributes of the protected areas in Bangladesh with that in the other tropical countries

“…The implication of this result is that, even though KNP got its legal status as a PA, its floral diversity degraded over time as a result of anthropogenic disturbances. The disturbance is possibly attributed to the exclusion of the local people from exercising their traditional rights (Nath et al, 2000) Bangladesh* 2.60 (Gopalakrishna, Kaonga, Somashekar, Suresh, & Suresh, 2015) India 1.99 (Panda, Mahapatra, Acharya, & Debata, 2013) India 2.94 (Thakur & Khare, 2006) India 2.28 (Parthasarathy & Sethi, 1997) India 3.58 (Tripathi et al, 2004) India 3.50 (Velho & Krishnadas, 2011) India 2.50 (Parthasarathy & Karthikeyan, 1997) India 4.27 (Kumar, Marcot, & Saxena, 2006) India 2.02 (Bhuyan, Khan, & Tripathi, 2003) India 2.41 (Aye, Pampasit, Umponstira, Thanacharoenchanaphas, & Sasaki, 2014) Myanmar 1.34 (Mishra & Garkoti, 2016) Nepal 5.61 (Hayat, Kudus, Faridah-Hanum, Noor, & Nazre, 2010) Malaysia 3.87 (Ndah, Andrew, & Bechem, 2013) Cameroon 2.91 (Nangendo, Stein, Gelens, De Gier, & Albricht, 2002) Uganda Evenness index 0.75-0.83 0.88 (Tripathi et al, 2004) India 0.60 (Gopalakrishna et al, 2015) India 0.99 (Panda et al, 2013) India 0.87 (Velho & Krishnadas, 2011) India 0.46 (Bhuyan et al, 2003) India 0.22 (Hayat et al, 2010) Malaysia 0.90 (Ndah et al, 2013) Cameroon Simpson index 0.10-0.20 0.06 (Tripathi et al, 2004) India 0.90 (Gopalakrishna et al, 2015) India 0.02 (Panda et al, 2013) India 0.06 (Bhuyan et al, 2003) India 0.84 (Aye et al, 2014) Myanmar 0.52 (Mishra & Garkoti, 2016) Nepal 0.15 (Hayat et al, 2010) Malaysia 0.03 (Ndah et al, 2013) Cameroon…”