A. KUMAR1*, V. SINGH2, R. RANJAN3, A.S. NAIN4
1Department of Environmental Science, G. B. Pant University of Agriculture and Technology, Pantnagar, 263153, Uttarakhand, India
2Department of Environmental Science, G. B. Pant University of Agriculture and Technology, Pantnagar, 263153, Uttarakhand, India
3Department of Agrometeorology, G. B. Pant University of Agriculture and Technology, Pantnagar, 263153, Uttarakhand, India
4Department of Agrometeorology, G. B. Pant University of Agriculture and Technology, Pantnagar, 263153, Uttarakhand, India
* Corresponding Author : arunsasrd2012@gmail.com
Received : 01-10-2020 Accepted : 13-10-2020 Published : 15-10-2020
Volume : 12 Issue : 19 Pages : 10271 - 10275
Int J Agr Sci 12.19 (2020):10271-10275
Keywords : Soil Nitrogen, GIS, Remote Sensing, IDW, GPS
Academic Editor : Dr G A Rajanna
Conflict of Interest : None declared
Acknowledgements/Funding : Authors are thankful to Department of Environmental Science and Agrometeorology, Gobind Ballabh Pant University of Agriculture and Technology, Pantnagar, 263153, Uttarakhand, India
Author Contribution : All authors equally contributed
Soil nitrogen not only provides essential nutrients for plant growth but also affects soil function and the concentration of greenhouse gases in the atmosphere. Present investigation of soil Nitrogen of Tarai forest was carried out at Tanda, Bhakda and Pipalpadao forest ranges of Tarai Central Forest Division, Western Circle, Uttarakhand, India during the year 2013-14. Random sampling was done in all the three forest ranges. Total soil sampling was done at 23 sites of Tanda, Bhakda, and Pipalpadao range in the month of February 2014. Total soil nitrogen was calculated by using total forest area (evergreen and deciduous forest) estimated from classification of satellite image using Remote sensing. Total soil nitrogen in Tanda, Bhakda, and Pipalpadao forests was 44002.92, 43194.12 and 38830.89 tons, respectively
Study the environmental aspect of forest as a Nitrogen store
1. Zhou T., Geng Y., Chen J., Sun C., Haase D. and Lausch A. (2019) Remote Sensing, 11, 2934.
2. Olivier J.G.J., Bouwman A.F., Van der Hoek K.W., Berdowski J.J.M. (1998) Environ. Pollut., 102, 135-148.
3. Butterbach-Bahl K., Kahl M., Mykhayliv L., Werner C., Kiese R., Li C. (2009) Atmos. Environ., 43, 1392-1402.
4. Kohl M., Magnussen S. and Marchetti M. (2006) Sampling Methods: Remote Sensing and GIS Multiresource Forest Inventory. 1st Edn., Springer, Berlin, ISBN: 3540325719. pp: 373.
5. Elbasiouny H., Abowaly M., Alkheir A. A. and Gad A. (2014) Catena, 113, 70-78.
6. Simbahan G.C., Dobermann A., Goovaerts P., Ping J., Haddix M.L. (2006) Geoderma, 132, 471-489.
7. AOAC (1995) Official Methods of Analysis. 16th edn. Association of Official Analytical Chemists, Washington, DC.
8. McKenzie N.J., Jacquier D.J., Isbell R.F. and Brown K.L. (2004). Australian Soils and Landscapes an Illustrated Compendium. CSIRO Publishing: Collingwood, Victoria.
9. Cresswell H.P. and Hamilton (2002) Particle Size Analysis. In: Soil Physical Measurement and Interpretation for Land Evaluation. (Eds. NJ McKenzie, HP Cresswell and KJ Coughlan) CSIRO Publishing: Collingwood, Victoria. pp: 224-239.
10. Townshed J.R.G. and Justice C. K. V. (1987) International Journal of Remote Sensing, 8, 1189-1207.
11. Tuomisto H., Linna A. and Kalliola R. (1994) International Journal of Remote Sensing, 15(8), 1595-1610.
12. Saxena K.G., Tiwari A.K., Porwal M.C. and Menon A.R.R. (1992) International Journal of Remote Sensing, 13(11), 2017-2037.
13. Sudhakar S., Das R.K., Chakraborty D., Bardhan R.B.K., Raha A.K. and Shukla P. (1994) Journal of the Indian society of Remote Sensing, 22(1), 21-29.
14. Kresovic M. and Licina V. (2003) J. of Agricultural Sciences, 48(1).
15. Callesen I., Raulund-Rasmssen K., Westman C.J. and Tau-Strand L. (2007) Boreal environment research, 12, 681-692.