Carbon Sequestration Analysis of dominant tree species using Geo-informatics Technology in Gujarat State (INDIA)

Abstract

Comparative analysis of carbon store of three dominant tree species in planned green capital city of Gandhinagar and unplanned industrial town of Mahesana in Gujarat State, India was carried out using geo-informatics technology. The selected three major dominant tree species grown in these towns are Azadirachta indica, Acacia sp. and Cassia sp. The high spatial resolution Remote Sensing Satellite data from Indian Remote Sensing Satellite (IRS-Resourcesat-1) LISS-IV, Cartosat-1, and Google earth images were used in this study. The tree cover was categorized into dense and sparse on the basis of canopy cover observed on Satellite data. A grid of 1km X 1km was created in GIS environment and superimposed on Cartosat-1 images. Random sample of 20 % was selected for detailed tree count in the field and total tree count was estimated from these selected sample grids. 

 

Total biomass and carbon sequestered in the major tree species have been estimated using a non-destructive method. The carbon stock estimated for three major tree species in Gandhinagar and Mahesana towns indicate that Azadirachta indica has maximum carbon sequestration potential as compared to Acacia sp. and Cassia sp. The maximum of carbon stock was present in Girth at Breast Height (GBH) size >180 cm which is followed by GBH size 90 to 180 cm. The total number of trees in Gandhinagar town is much higher as compared to Mahesana town; therefore estimated carbon store of dominant tree species in Gandhinagar town is very high as compared to Mahesana town which is more arid as compared to Gandhinagar.

Keywords

• Carbon Sequestration,urban forestry,Total biomass,Girth at Breast Height (GBH),Carbon store,Remote Sensing (RS),Geographic Information System (GIS),Indian Remote Sensing Satellite

References

1. Christensen, S., and Goudriaan, J., 1993. Deriving Light Interception and Biomass from Spectral Reflection ratio. Remote Sensing Environment 48:87-95.
2. Gavali, R. S. And Shaikh, H. M. Y, 2016. Estimation of Carbon Storage in the Tree Growth of Solapur University Campus, Maharashtra, India. International Journal of Science and Research (IJSR), Vol.5 (4): 2364–2367.
3. Gazioğlu, C. and Okutan, V. (2016). Underwater Noise Pollution at the Strait of Istanbul (Bosphorus), International Journal of Environment and Geoinformatics (IJEGEO), Vol:3(3): 26-39.
4. Gazioğlu, C., Müftüoğlu, AE., Demir, V., Aksu, A. and Okutan, V. (2015). Connection between Ocean Acidification and Sound Propagation, International Journal of Environment and Geoinformatics (IJEGEO), Vol.2(2):16-26.
5. Goetz, S.J., Baccini, A., Laporte, NT., Johns, T., Walker, W., Kellndorfer, J., Houghton, RA. and Sun, M. (2009). Mapping and monitoring carbon stocks with satellite observations: A comparison of methods. Carbon Bal. Manag., 4: 2: 1-7.
6. Hangarge, L. M., Kulkarni, D. K., Gaikwad, V. B., Mahajan, D. M., and Chaudhari, N. (2012). Carbon Sequestration potential of tree species in Somjaichi Rai (Sacred grove) at Nandghur village, in Bhor region of Pune District, Maharashtra State, India. Annals of Biological Research, Vol.3 (7): 3426-3429.
7. Jaiswal, Dharmesh G. , Patel, Chirag N., Patel , Yogesh B., Mankad, Archana U., and Pandya, Himanshu A., 2014. Regression Correlation Analysis between GBH and Carbon Stock of Major Tree Species in Dharoi Range, Gandhinagar Forest Division, India. International Journal of Innovative Research in Science, Engineering and Technology, Vol. 3(11): 17146- 17149.
8. Jeyanny, V., S.K. Balasundram and M.H.A. Husni, 2011. Geo-Spatial Technologies for Carbon Sequestration Monitoring and Management. American Journal of Environmental Sciences 7 (5): 456-462.

9. Kaya Ş., Gazioğlu C., Sertel E. , Şeker D.Z., Algancı U. (2015a). Rapid Determination Of Land Use/Cover Changes Using Data Fusion", ACRS 2015: The 36 th Asian Conference on Remote Sensing “Fostering Resilient Growth in Asia”, Metro Manila, Philippines, 19-23 September 2015: 1-5.
10. Kaya, H. and Gazioğlu, C. (2015). Real Estate Development at Landslides, International Journal of Environment and Geoinformatics (IJEGEO), Vol.2(1):62-71.
11. Kaya, Ş., Başar, UG., Karaca, M. and Şeker, DZ. (2012). Assessment of urban heat islands using remotely sensed data, Ekoloji, Vol. 21(84):107-113.
12. Kaya, Ş., Osgouei, PE., Algancı, U., Şeker, DZ. And Gazioğlu, C. (2015b). Evaluation Of Vegetation Density Changes In Suburban Area: A Case Study Of Istanbul Metropolitan Area, ACRS 2015: The 36th Asian Conference on Remote Sensing “Fostering Resilient Growth in Asia”, Quezon City, Metro Manila, Philippines, 19-23 September 2015:1-6.
13. Lal, Rattan, Augustin, Bruce (Eds.), 2012. Carbon Sequestration in Urban Ecosystems.
14. MacDicken, K.G., “A Guide to Monitoring Carbon Storage in Forestry and Agroforestry Projects”, Winrock International Institute for Agriculture Development, USA, 1997.
15. Niu, X. and Duiker, SW. (2006). Carbon sequestration potential by afforestation of marginal agricultural land in the Midwestern U.S. For. Ecol. Manag., 223: 415-427.
16. Nowak, D.J. and Greenfield, E.J., 2012. Tree and impervious cover change in US cities. Urban For Urban Green 2012; 11(1): 21–30.
17. Nowak, D.J. and Greenfield, E.J., Hoehn, Robert E. and Lapoint, Elizabeth, 2013. Carbon storage and sequestration by trees in urban and community areas of the United States. Environmental Pollution, 178: 229- 236.
18. Raciti, S.M., Hutyra, L.R., Rao, P. and Finzi, A.C. (2102). Soil and vegetation carbon in urban ecosystems: the importance of importance of urban definition and scale. Ecol Appl 2012, 22(3): 1015–35.
19. Richardson,J.,J., H. Everitt, and H.W. Gausman. 1983. Radiometric Estimation of Biomass and N-Content of Alicia Grass. Remote Sensing Environment. 13:179-184.
20. Sarıtrük, B., Sivri, N. and Şeker, DZ. (2017). A Study To Determine Level Of Awareness About Health And Carbon Footprint Among Geomatics Engineers In Turkey, Fresenius Environmental, Vol: 26(1):156-161.
21. Singh, H. S. (2013). Tree density and canopy cover in the urban areas in Gujarat, India. CURRENT SCIENCE, Vol. 104 (10): 1294-1299.
22. Singh, H. S. (2013). Tree wealth in the nonforest areas of Gujarat. Trees outside Forest (TOF) - Third Tree Counting-2013, Gujarat Forest Department, Gandhinagar, pp. 3-8.
23. Steve M. Raciti, Lucy R. Hutyra , and Jared D. Newell (2014). Mapping carbon storage in urban trees with multi-source remote sensing data: Relationships between biomass, land use, and demographics in Boston neighborhoods. Science of the Total Environment 500–501: 72–83.
24. Subedi, B. P., Pandey, S. S., Pandey, A., Rana, E. B., Bhattarai, S., Banskota, T. R., Charmakar, S., and Tamrakar, R. (2010.). Guidelines formeasuring carbon stocks in community-managed forests. ANSAB, FECOFUN, ICIMOD, NORAD. 69p.
25. Tripathi, Shashikant, Soni, Sandeep Kr., Maurya, Abhisek Kr., and Soni, Pradeep Kr. (2010). Calculating carbon sequestration using remote sensing and GIS. Geospatial World, May 3, 2010, pp. 1 – 8.
26. Tucker, C.J.1979. Red and Photographic Infrared Linear Combinations for Monitoring Vegetation. Elsevier North Holland Inc. 8:127-150.
27. Vieilledent, G., Vaudry, R., Andriamanohisoa, S. F., Rakotonarivo, O. S., Randrianasolo, H. Z., Razafindrabe, H. N., Rakotoarivony, C. B., Ebeling, J. and Rasamoelina, M. (2012). A universal approach to estimate biomass and carbon stock in tropical forests using generic allometric models. Ecological Applications, 22 (2): 572–583.
28. Warran, A., and Patwardhan, A. (2009). Carbon sequestration potential of trees in and around Pune City. RANWA, Pune, India.