International Journal of Ecology and Environmental Sciences
Species Distribution Modeling of Tea (Camellia sinensis) in Lohit district of Arunachal Pradesh, India
Abstract
Species distribution modeling is essential to understand the habitat suitability and ensured in-situ conservation of any species. We modeled the species distribution of Tea (Camellia sinensis) in Lohit district of Arunachal Pradesh (India) using Maximum Entropy (MaxEnt) techniques and ArcGIS software. The occurrence data of Tea was collected using Global Positioning System (GPS) by visiting the tea estates of the study area. The environmental layers include topographic, climatic and soil data. The topographic layers were generated from the Digital Elevation Model (DEM) of the Shuttle Radar Topographic Mission (SRTM) downloaded from the website (http://seamless.usgs/gov) of United States Geological Survey (USGS) using surface analysis in ArcGIS. The bioclimatic layers of annual mean temperature and precipitation were generated using the current global climate data (1950 to 2000) at 30 arc seconds downloaded from www.worldclim.org. The results show 22% of the total geographical areas under suitable and 14% under moderately suitable areas for tea cultivation. The study also reveals that the terrain, climatic and soil conditions of the area provides greater scope for expansion of area under tea cultivation in the study area in near future.
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