Seasonal changes in multi-scale spatial structure of soil pH and related parameters along a tropical dry evergreen forest slope

Geoderma ◽  
2011 ◽  
Vol 165 (1) ◽  
pp. 31-39 ◽  
Author(s):  
Naoyuki Yamashita ◽  
Seiichi Ohta ◽  
Hiroyuki Sase ◽  
Bopit Kievuttinon ◽  
Jesada Luangjame ◽  
...  
Keyword(s):  
Spatial Structure ◽  
Soil Ph ◽  
Seasonal Changes ◽  
Evergreen Forest ◽  
Multi Scale ◽  
Dry Evergreen Forest ◽  
Tropical Dry Evergreen Forest

Seasonal and spatial variation of nitrogen dynamics in the litter and surface soil layers on a tropical dry evergreen forest slope

2010 ◽  
Vol 259 (8) ◽  
pp. 1502-1512 ◽  
Author(s):  
Naoyuki Yamashita ◽  
Seiichi Ohta ◽  
Hiroyuki Sase ◽  
Jesada Luangjame ◽  
Thiti Visaratana ◽  
...  
Keyword(s):  
Spatial Variation ◽  
Surface Soil ◽  
Nitrogen Dynamics ◽  
Evergreen Forest ◽  
Soil Layers ◽  
Dry Evergreen Forest ◽  
Tropical Dry Evergreen Forest

Decaying Wood Preference of Stag Beetles (Coleoptera: Lucanidae) in a Tropical Dry-Evergreen Forest

2017 ◽  
Vol 46 (6) ◽  
pp. 1322-1328 ◽  
Author(s):  
Nut Songvorawit ◽  
Buntika Areekul Butcher ◽  
Chatchawan Chaisuekul
Keyword(s):  
Evergreen Forest ◽  
Dry Evergreen Forest ◽  
Stag Beetles ◽  
Decaying Wood ◽  
Tropical Dry Evergreen Forest

scholarly journals DNA Barcode Authentication of Wood Samples of Threatened and Commercial Timber Trees within the Tropical Dry Evergreen Forest of India

PLoS ONE ◽  
2014 ◽  
Vol 9 (9) ◽  
pp. e107669 ◽  
Author(s):  
Stalin Nithaniyal ◽  
Steven G. Newmaster ◽  
Subramanyam Ragupathy ◽  
Devanathan Krishnamoorthy ◽  
Sophie Lorraine Vassou ◽  
...  
Keyword(s):  
Dna Barcode ◽  
Evergreen Forest ◽  
Dry Evergreen Forest ◽  
Tropical Dry Evergreen Forest

scholarly journals Endemic plants of tropical dry evergreen forest, Southern India

2018 ◽  
Vol 52 (1) ◽  
pp. 11-23
Author(s):  
Natesan Balachandran ◽  
Krishnamurthy Rajendiran ◽  
Walter Gastmans
Keyword(s):  
Endemic Species ◽  
Anthropogenic Disturbance ◽  
Tamil Nadu ◽  
The State ◽  
Southern India ◽  
Evergreen Forest ◽  
Peninsular India ◽  
Dry Evergreen Forest ◽  
Threat Status ◽  
Tropical Dry Evergreen Forest

Abstract During the last two decades of intensive botanical survey of the tropical dry evergreen forest, a total of 82 endemic taxa were found out of 1142 species enumerated from 85 sites in the three Coromandel Coastal districts of the state Tamil Nadu: Cuddalore, Kancheepurm and Villupuram, and in the Pondicherry district. Of 82 species, 17 are trees, 11 shrubs, 9 climbers and 45 herbs. Distribution of these endemic species was analyzed and categorised as endemic to the country, peninsular India, southern India, Eastern and Western Ghats, and at the state and district level. Interestingly, the study found that some endemic species were disjunctly distributed between districts, states, ghats, climatic regimes and bioregions. Anthropogenic disturbance and species threat status were also studied and discussed.

scholarly journals Exploring the bacterial community composition of soil from a tropical dry evergreen forest in Tamil Nadu, India

2021 ◽  
Author(s):  
Saptashwa Datta ◽  
Melvin S. Samuel ◽  
Ethiraj Selvarajan
Keyword(s):  
Bacterial Community ◽  
Tamil Nadu ◽  
Bacterial Species ◽  
Bacterial Community Composition ◽  
Alpha Diversity ◽  
Amplicon Sequencing ◽  
Evergreen Forest ◽  
Dry Evergreen Forest ◽  
Tropical Evergreen Forest ◽  
Tropical Dry Evergreen Forest

Abstract Metagenomics is a cutting edge omics technology that has been employed in various fields including novel product discovery, diagnostics, and pollutant monitoring. 16S metagenome amplicon sequencing is used for understanding the microbial diversity from various environments. Forest ecosystems have been known for the discovery of novel bacteria and also bacteria that produces novel compounds that are pharmaceutically and industrially relevant. In this study we try to show the bacterial community structure of the soil obtained from a tropical evergreen forest in India. We use 16s metagenomics sequencing and then follow it up with various analysis like alpha diversity analysis, to find out the dominant bacterial species found in these soils. Actinobacteria was found to be the most copmmonly found bacterial phylum followed by proteobacteria, firmicutes, chloroflexi, acidobacteria, verrucomicrobia, bacteroidetes, gemmatimonadetes, nitospirae and other unclassified organisms. Further studies can elucidate on the discovery of novel compounds from these bacteria.

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