Response of Tropical Forests to Climatic Parameters in Eastern Ghats of India
DOI:
https://doi.org/10.36808/if/2021/v147i9/165614Keywords:
Climate Change, Eastern Ghats, Deforestation, NDVI, Spatial Correlation.Abstract
Climate change problems have been witnessed with respect to temperature a continuous mountain range of Eastern Ghats. Climatic parameters were predicted for the next 50 years through linear Holt-Winter's test. The model has predicted temperature increase up to 25.920 C with a 50 years average of 25.16 ± 0.11 °C till 2067 with an increase of 0.25 °C from the past 117 years average temperature of 24.91 ± 0.59 °C at a rate of 0.01 °C year-1. On the contrary, an overall reduction of 17.61 mm rainfall by 2067 (-0.35 mm year-1) has been predicted. The long-term deforestation was estimated to be 1312.06 km2 (15.66%) from 1987 to 2017 (97 grids of 5 km2) with the corresponding temperature drop of 1.73 °C and rainfall increase of 202.81 mm. The overall results prove that there is less impact of temporal climatic variability (temperature and precipitation) on forest cover dynamics in Koraput district of Odisha. The geographical weighted regression (GWR) modelling has marked more deforestation in relatively hotter areas showing better spatial correlation of it with temperature than with precipitation. However along with the natural climatic phenomena, mining and establishment of some major mines in the vicinity of the forest occupied regions in Koraput can also be blamed for the deforestation process.References
Adhikary P.P., Barman D., Madhu M., Dash C.J., Jakhar P., Hombegowda H.C., Naik B.S., Sahoo D.C. and Beer K. (2019). Land use and land cover dynamics with special emphasis on shifting cultivation in Eastern Ghats Highlands of India using remote sensing data and GIS. Environ Monit Assess, 191. https://doi.org/10.1007/s10661-019-7447-7.
Ahmad I., Tang D., Wang T., Wang M. and Wagan B. (2015). Precipitation Trends over Time Using Mann-Kendall and Spearman's rho Tests in Swat River Basin, Pakistan. 2015: 115. http://dx.doi.org/10.1155/2015/431860.
Azad S., Kamruzzaman and Osawa A. (2019). Quantification and Understanding of Above and Belowground Biomass in Medium Saline Zone of the Sundarbans , Bangladesh: The Relationships with Forest Attributes. J. Sustain. For. 00:1–15. https://doi.org/10.1080/10549811.2019.1664307.
Babar S. and Ramesh H. (2014). Analysis of extreme rainfall events over Nethravathi basin. ISH J. Hydraul. Eng., 20: 212–221. https://doi.org/10.1080/09715010.2013.872353.
Baccini A., Goetz S.J., Walker W.S., Laporte N.T., Sun M., Sulla-Menashe D., Hackler J., Beck P.S.A., Dubayah R., Friedl M.A., Samanta S. and Houghton R.A. (2012). Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps. Nat. Clim. Chang, 2:182–185. https://doi.org/10.1038/nclimate1354.
Chapin F.S., Randerson J.T., McGuire A.D., Foley J.A. and Field C.B. (2008). Changing feedbacks in the climatebiosphere system. Front Ecol. Environ., 6: 313–320.
Chatfield C. (1978). The Holt-Winters Forecasting Procedure. Appl Stat, 27:264. https://doi.org/10.2307/2347162.
Chitale V.S., Behera M.D. and Roy P.S. (2014). Future of endemic flora of biodiversity hotspots in India. PLoS One 9:1–15. https://doi.org/10.1371/journal.pone.0115264.
Coomes D.A., Burslem D.F.R.P. and Simonson W.D. (2014). Forests and Global Change. Cambridge University Press.
Dadashpoor H., Azizi P. and Moghadasi M. (2019). Land use change, urbanization, and change in landscape pattern in a metropolitan area. Sci. Total Environ., 655:707–719. https://doi.org/10.1016/j.scitotenv.2018.11.267.
Dash C.J., Adhikary P.P., Madhu M., Mukhopadhyay S., Singh S.K. and Mishra P.K. (2018). Assessment of spatial changes in forest cover and deforestation rate in Eastern Ghats Highlands of Odisha, India. J. Environ Biol., 39: 196–203. https://doi.org/10.22438/jeb/39/2/MRN-429.
Diaz H.F., Trigo R., Hughes M.K., Mann M.E., Xoplaki E. and Barriopedro D. (2011) Spatial and temporal characteristics of climate in medieval times revisited; Bull. Am. Meteorol. Soc., 92: 1487–1500.
Eiserhardt W.L., Bjorholm S., Svenning J.C., Rangel T.F. and Balslev H. (2011). Testing the water-energy theory on american palms (arecaceae) using geographically weighted regression. PLoS One 6:e27027. https://doi.org/10.1371/journal.pone.0027027.
Fontaine B., Janicot S. and Moron V. (1995). Rainfall anomaly patterns and wind field signals over West Africa in August (1958–89). J. Clim., 8: 1503–1510.
IPCC (2007). Climate Change 2007: Mitigation. Metz B.O., Davidson R., Bosch P.R., Dave Rand Meyer LA (eds) Working Group III contribution to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC), Technical Summary, chapters 3 (Issues related to mitigation in the long term context) and 11 (Mitigation from a cross sectoral perspective).
Kendall M.G. (1975). Rank Correlation Methods. 4th edition, Charles Griffin, London.
Kirilenko A.P. and Sedjo R.A. (2007). Climate change impacts on forestry. Proc. Natl .Acad. Sci., 104(50): 19697-19702 .
Kishan V.S. and Tewari V.P. (2001). Commonwealth Forestry Association. Int. For. Rev., 67: 54–57.
Krishna L.V. (2014). Long Term Temperature Trends in Four Different Climatic Zones of Saudi Arabia. Int. J Appl. Sci. Technol., 4(5): 233-242.
Kumar M., Kalra N., Singh H., Sharma S., Rawat P.S., Singh R.K., Gupta A.K., Kumar P. and Ravindranath N.H. (2021).
Indicator-based vulnerability assessment of forest ecosystem in the Indian Western Himalayas: An analytical hierarchy process integrated approach. Ecological Indicators, 125: 107568. https://doi.org/10.1016/j.ecolind.2021.107568
Li Z.L., Tang B.H., Wu H., Ren H., Yan G., Wan Z., Trigo I.F. and Sobrino J.A. (2013). Satellite-derived land surface temperature: Current status and perspectives. Remote Sens Environ., 131:14–37. https://doi.org/10.1016/j.rse.2012.12.008.
Lilles and T.M., Kiefer R.W. and Chipman J.W. (2014). Remote Sensing and Image Interpretation. 7th Ed. Wiley, New York, USA (ISBN 978-1-118-34328-9).
Mann H.B. (1945). Non-parametric tests against trend. Econometrica, 13:163-171.
Mishra N., Khare D., Shukla R. and Kumar K. (2014). Trend Analysis of air temperature time series by Mann-Kendall test – A case study of upper Ganga canal command (1901–2002). Br. J. Appl. Sci. Technol., 4(28): 4066–4082.
Mondal A., Khare D., Kundu S., Meena P.K., Mishra P.K. and Shukla R. (2015). Impact of climate change on future soil erosion in different slope, land use, and soil-type conditions in a part of the Narmada river basin, India. J. Hydrol. Eng., 20(6):1-12.
Myers N., Mittermeler R.A., Mittermeler C.G., Da Fonseca GAB and Kent J. (2000). Biodiversity hotspots for conservation priorities. Nature, 403: 853–858. https://doi.org/10.1038/35002501.
Ord J.K. and Getis A. (1992). The Analysis of Spatial Association. Geogr Anal., 24: 189–206. https://doi.org/10.1111/j.1538-4632.1992.tb00261.x.
Palmate S.S., Pandey A., Kumar D., Pandey R.P. and Mishra S.K. (2017). Climate change impact on forest cover and vegetation in Betwa Basin, India. Appl. Water Sci. https://doi.org/10.1007/s13201-014-0222-6.
Panda A. and Sahu N. (2019). Trend analysis of seasonal rainfall and temperature pattern in Kalahandi, Bolangir and Koraput districts of Odisha, India. Atmos Sci. Lett., 2019: 1–10. https://doi.org/10.1002/asl.932
Pattnaik C., Reddy C.S. and Reddy P.M. (2011). Assessment of spatial and temporal dynamics of tropical forest cover: a case study in Malkangiri district of Orissa, India. J. Geogr .Sci., 2(1): 176–192.
Pontius R.G. (2000). Quantification error versus location error in comparison of categorical maps. Photogramm Eng. Remote Sensing, 66: 1011–1016
Puyravaud J.P. (2003). Standardizing the calculation of the annual rate of deforestation. For. Ecol. Manage., 177: 593–596. https://doi.org/10.1016/S0378-1127(02)00335-3.
Reddy C.S., Giriraj A., Babar S., Ugle P. and Sudhakar S. (2010). Assessment of Fragmentation and Disturbance
Patterns in Eastern Ghats: A Case Study in R.V. Nagar Range, Visakhapatnam District, Andhra Pradesh, India. J. Indian Soc. Remote Sens., 38: 633–639. https://doi.org/10.1007/s12524011-0077-3.
Ribbentrop B. (1990). Forestry in British India. Indus Publishing Company.
Richardson A. and Everitt J. (1992). Using Spectral Vegetation Indices to Estimate Rangeland Productivity. Geocarto Int., 1: 63-77.
Rouse J.W., Haas R.H., Schell J.A. and Deering D.W. (1974). Monitoring vegetation systems in the Great Plains with ERTS. In: Freden SC, Mercanti EP, Becker M (eds) Third Earth Resources Technology Satellite-1. Syposium, Volume I, Technical Presentations, NASA SP-351, NASA, Washington, D.C., pp 309-317.
Sahu S.S., Gunasekaran K., Vanamail P. and Jambulingam P. (2013). Persistent foci of falciparum malaria among tribes over two decades in Koraput district of Odisha State, India; Malar J., 12(72): 1-8.
Salas C., Ene L., Gregoire T.G., Næsset E. and Gobakken T. (2010). Modelling tree diameter from airborne laser scanning derived variables: A comparison of spatial statistical models. Remote Sens Environ., 114: 1277-1285. https://doi.org/10.1016/j.rse.2010.01.020.
Sen P.K. (1968). Estimates of the Regression Coefficient Based on Kendall's Tau. J. Am. Stat. Assoc. 63:1379–1389. https://doi.org/10.1080/01621459.1968.10480934.
Singh R.K., Sinha V.S.P., Joshi P.K., Kumar M. (2021). A Multinomial logit-based land use and land cover classification for the SAARC nations using MODIS product. Environ. Dev. Sustain., 23: 6106–6127. https://doi.org/10.1007/s10668-02000864-1.
Tilman D., Isbell F. and Cowles J.M. (2014). Biodiversity and Ecosystem Functioning. Annu. Rev. Ecol. Evol. Syst., 45: 471-493.
Tripathi P., Behera M.D. and Roy P.S. (2019). Spatial heterogeneity of climate explains plant richness distribution at the regional scale in India. PLoS One, 14: 1–16. https://doi.org/10.1371/journal.pone.0218322.
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