Abstract
Large-scale surface mining are the major causes for ecological disaster at the landscape level, but ecological restoration in post mining areas offers an opportunity to re-develop an ecosystem. The present research programme was undertaken in Panchapatmali Bauxite Mines in Koraput district of Odisha which is one of the biggest mines in Eastern Ghats ecoregion. The above ground biomass (AGB) and soil parameters inside and outside the mines (natural forest) were compared and their interrelationships were also tested at 1% level of significance. For the three dominant species Pinus insularis, Eucalyptus hybrid and Samenia saman, the regression coefficient (R2) values for AGB were significant with respect to DBH (R2 = 0.80–0.90), height (R2 = 0.35–0.76) and with basal area (R2 = 0.90–0.96). Species wise, maximum biomass was shown by Pinus insularis followed by Eucalyptus hybrid and Samenia saman which reveals that exotic species have overruled the indigenous species in the plantation areas. An accurate cokriging geospatial model with minimum errors predicted the AGB values to range from 45.6 to 416.4 t/ha compared to the observed biomass range 5.90–507.06 t/ha through the developed regression equation y = 1.003x + 0.24. The overall AGB of the reclaimed area was at par with the natural forest outside the mines. Increasing the pH level of soils, planting indigenous species and increasing green ground cover species will have lesser negative competition with the trees in the reclaimed zone that can restore the fragile ecosystem.
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References
Abbott I, Loneragan O (1986) Ecology of Jarrah (Eucalyptus marginata) in the northern Jarrah forest of Western Australia Bulletin No. 1. Department of Conservation and Land Management Perth, WA, p 137
Achacoso SC, Walag AMP, Saab LL (2016) A rapid assessment of foliage spider fauna diversity in Sinaloc, El Salvador City, Philippines: a comparison between habitats receiving different degrees of disturbance. Biodiversity 17:156–161. https://doi.org/10.1080/14888386.2016.1258331
Aragon R, Oesterheld M (2008) Linking vegetation heterogeneity and functional attributes of temperate grasslands through remote sensing. Appl Veg Sci 11(1):117–130. https://doi.org/10.1111/j.1654-109X.2008.tb00210.x
Babcock C, Finley AO, Andersen HE, Pattison R, Cook BD, Morton DC, Alonzo M, Nelson R, Gregoire T, Ene L, Gobakken T, Næsset E (2018) Geostatistical estimation of forest biomass in interior Alaska combining Landsat-derived tree cover, sampled airborne lidar and field observations. Remote Sens Environ 212:212–230. https://doi.org/10.1016/j.rse.2018.04.044
Banning NC, Grant CD, Jones DL, Murphy DV (2008) Recovery of soil organic matter; organic matter turn over and nitrogen cycling in a post- mining forest rehabilitation chronosequence. Soil Biol Biochem 40(8):2021–2031. https://doi.org/10.1016/j.soilbio.2008.04.010
Banninga NC, Lalora BM, Cooksona WR, Griggb AH, Murphya DV (2012) Analysis of soil microbial community level physiological profiles in native and post-mining rehabilitation forest: which substrates discriminate? Appl Soil Ecol 56:27–34. https://doi.org/10.1016/j.apsoil.2012.01.009
Barnhisel RI, Rotromel AL (1974) Weathering of clay minerals by simulated acid coal spoil-bank solutions. Soil Sci 118(1):22–27
Bhat R, Sujatha S (2014) Soil fertility status and disorders in arecanut (Areca Catechu L.) grown on clay and laterite soils of India. Commun Soil Sci Plant Anal 45:1622–1635. https://doi.org/10.1080/00103624.2014.907910
Box E, Holben B, Kalb V (1989) Accuracy of the AVHRR vegetation index as a predictor of biomass, primary productivity and net CO2 flux. Vegetatio 80:71–89
Bradshaw AD (1983) The reconstruction of ecosystems. J Appl Ecol 20:1–17
Bradshaw AD (1987) Restoration ecology. In: Jordan WR, Gilpin ME, Aber JD (eds) A synchronised approach to ecological restoration. Cambridge University Press, Cambridge, pp 61–74
Brierley JK (1956) Some preliminary observations on the ecology of pit heaps. J Ecol 44:383–390
Brown S, Lugo AE (1992) Aboveground biomass estimates for tropical moist forest of the Brazilian Amazon. Interciencia 17:8–18
Brown S, Lugo AE (1994) Rehabilitation of tropical lands: a key to sustaining development. Restor Ecol 2(2):97–111. https://doi.org/10.1111/j.1526-100X.1994.tb00047.x
Brown SL, Schroeder P, Kern JS (1999) Spatial distribution of biomass in forests of the eastern USA. Forest Ecol Manag 123(1):81–90. https://doi.org/10.1016/S0378-1127(99)00017-1
Brunig EF (1983) Structure and growth. In: Golley FB (ed) Ecosystems of the World 14 A, Tropical rain forest ecosystems: structure and function. Elsevier Scientific Publication, New York, pp 49–75
Bungart R, Huttl RF (2001) Production of biomass for energy in post-mining landscapes and nutrient dynamics. Biomass Bioenerg 20(3):181–187. https://doi.org/10.1016/S0961-9534(00)00078-7
Chadwick MJ (1973) Methods of assessment of acid colliery spoil as a medium for plant growth. In: Hutnik RJ, Davis G (eds) Ecology and reclamation of devastated land, vol 1. Gordon and Breach Publishing Group, London, pp 81–91
Chakraborty RN, Chakraborty D (1989) Changes in soil properties under Acacia auriculiformis plantation in Tripura. Indian For 115(4):272–273
Chaturvedi RK, Raghubanshi AS, Singh JS (2010) Non-destructive estimation of tree biomass by using wood specific gravity in the estimator. Natl Acad Sci Lett 33:133–138
Chen Y (2013) New approaches for calculating Moran’s Index of spatial autocorrelation. PLoS ONE. https://doi.org/10.1371/journal.pone.0068336
Choi YD, Weali MK (1995) The role of Panicum virgatum (Switch Grass) in the revegetation of iron-mine tailings in Northern New York. Restor Ecol 3(2):123–132. https://doi.org/10.1111/j.1526-100X.1995.tb00085.x
Das S, Singh TP (2016) Forest type, diversity and biomass estimation in tropical forests of western ghat of maharashtra using geospatial techniques. Small-Scale For 18(62):517–532. https://doi.org/10.1007/s11842-016-9337-y
Davison A, Jefferies BJ (1966) Some experiment on the nutrition of plants growing on coal mine waste heaps. Nature 210:649–650
Dowarah J, Deka Boruah HP, Gogoi J, Pathak N, Saikia N, Handique AK (2009) Eco-restoration of a high-sulphur coal mine overburden dumping site in northeast India: a case study. J Earth Syst Sci 118:597–608. https://doi.org/10.1007/s12040-009-0042-5
Down CG (1975) Soil development on colliery waste tips in relation to age. I. Introduction and physical factors. J Appl Ecol 12(2):613–622
Dwevedi A, Kumar P, Kumar P, Kumar Y, Sharma YK, Kayastha AM (2017) Soil sensors: detailed insight into research updates, significance, and future prospects. In: Grumezescu AM (ed) New pesticides and soil sensors. Elsevier Inc, p 566. http://dx.doi.org/https://doi.org/10.1016/B978-0-12-804299-1.00016-3
Fettweis U, Bens O, Huttl RF (2005) Accumulation and properties of soil organic carbon at reclaimed sites in the Lusatian lignite mining district afforested with Pinus sp. Geoderma 129(1–2):81–91. https://doi.org/10.1016/j.geoderma.2004.12.034
Filcheva E, Noustorova M, Sv KG, Haigh MJ (2000) Impact of forestation on organic accumulation and microbial action in surface coal mine-spoil Pernik Bulgaria. Ecol Eng 15(1):1–15. https://doi.org/10.1016/S0925-8574(99)00008-7
Finzi AC, Canham CD, Van Breemen N (1998) Canopy tree- soil interactions within temperate forests: species effects on pH and cations. Ecol Appl 8(2):447–454. https://doi.org/10.1890/1051-0761(1998)008[0447:CTSIWT]2.0.CO;2
Fitter AH, Bradshaw AD (1974) Root penetration of Lolium perenne on colliery shale in response to reclamation treatment. J Appl Ecol 11(2):609
Franklin O, Johansson J, Dewar RC, Dieckmann U, McMurtrie RE, Brännström AK, Dybzinski R (2012) Modeling carbon allocation in trees: a search for principles. Tree Physiol 32:648–666. https://doi.org/10.1093/treephys/tpr138
Gilabert M, Gandia S, Melia J (1996) Analyses of spectral-biophysical relationships for a corn canopy. Remote Sens Environ 55(1):11–20. https://doi.org/10.1016/0034-4257(95)00187-5
Gill HS, Abrol IP, Samra JS (1987) Nutrient recycling through litter production in young plantations of Acacia nilotica and Eucalyptus tereticornis in a highly alkaline soil. Forest Ecol Manag 22(1–2):57–69. https://doi.org/10.1016/0378-1127(87)90095-8
Gong D, Ho C (2003) Detection of large-scale climate signals in spring vegetation index (Normalized Difference Vegetation Index) over the Northern Hemisphere. J Geophys Res 108(D16):1–12. https://doi.org/10.1029/2002JD002300
Goward S, Tucker C, Dye D (1985) North American vegetation patterns observed with the NOAA-7 advanced very high resolution radiometer. Vegetatio 64(1):3–14. https://doi.org/10.1007/BF00033449
Guo W, Yang T, Dai J, Shi L, Lu Z (2008) Vegetation covers changes and their relationship to climate variation in the source region of the Yellow River, China, 1990–2000. Int J Remote Sens 29(7):2085–2103. https://doi.org/10.1080/01431160701395229
Gwal S, Singh S, Gupta S, Anand S (2020) Understanding forest biomass and net primary productivity in Himalayan ecosystem using geospatial approach. Model Earth Syst Environ 6:2517–2534. https://doi.org/10.1007/s40808-020-00844-4
Hall IG (1957) The ecology of disused pit help in England. J Ecol 45(3):689–720
Hashiramoto O (2007) Wood-product trade and policy issue. In: Dubé Y (ed) Cross-sectoral policy developments in forestry. CABI Wallingford Publication, Wallingford, pp 24–35
Hill RD (1978) Methods for controlling pollutions. In: Schaller FW, Sutton P (eds) Reclamation of drastically disturbed lands. American Society of Agronomy, Madison, pp 687–704
Hobbs T (1995) The use of NOAA-AVHRR NDVI data to assess herbage production in the arid rangelands of Central Australia. Int J Remote Sens 16(7):1289–1302. https://doi.org/10.1080/01431169508954477
https://earthexplorer.usgs.gov. “Accessed on 15th January, 2019.
Huete AR (2012) Vegetation indices, remote sensing and forest monitoring. Geogr Compass 6:513–532. https://doi.org/10.1111/j.1749-8198.2012.00507.x
Hunt E, Piper S, Nemani R, Keeling C, Otto R, Running S (1996) Global net carbon exchange and intra-annual atmospheric CO2 concentrations predicted by an ecosystem process model and three-dimensional atmospheric transport model. Global Biogeochem Cy 10(3):431–456. https://doi.org/10.1029/96GB01691
International Energy Agency: Key word energy statistics 2017. International Energy Agency. https://www.iea.org/publications/freepublications/publication/KeyWorld2017.pdf (2017). Accessed 15 Jun 2018
Jackson LL, Lopoukhine N, Hillyard D (1995) Ecological restoration: a definition and comments. Restor Ecol 3(2):71–75. https://doi.org/10.1111/j.1526-100X.1995.tb00079.x
Joshi HG, Ghose M (2014) Community structure, species diversity, and aboveground biomass of Sundarbans Mangrove swamps. Trop Ecol 55(3):283–303
Karekez S, Kithyoma W (2006) Bio-energy and agriculture: promises and challenges Bio-energy and the poor. In: 2020 Vision for Food Agriculture and the Environment. International Food P Res Institute, Washington
Kilpeläinen A, Torssonen P, Strandman H, Kellomäki S, Asikainen A, Peltola H (2016) Net climate impacts of forest biomass production and utilization in managed boreal forests. GCB Bioenergy 8:307–316. https://doi.org/10.1111/gcbb.12243
Knapp AK, Smith MD (2001) Variation among biomes in temporal dynamics of aboveground primary production. Science 80(291):481–484. https://doi.org/10.1126/science.291.5503.481
Kost DA, Boutelle DA, Larson MM, Smith WD, Vimmerstedt JP (1997) Paper mill sludge amendment, tree protection and establishment on an abandoned coal mine soil. J Environ Qual 26(5):1409–1416. https://doi.org/10.2134/jeq1997.00472425002600050030x
Kumar A, Purohit P, Rana S, Kandpal TC (2002) An approach to the estimation of value of agricultural residues used as biofuels. Biomass Bioenergy 22(3):195–203. https://doi.org/10.1016/S0961-9534(01)00070-8
Li W, Niu Z, Gao S, Wang C (2014) Mapping the spatial pattern of temperate forest above ground biomass by integrating airborne lidar with Radarsat-2 imagery via geostatistical models. Lidar Remote Sens Environ Monit XIV 9262:92620S. https://doi.org/10.1117/12.2068643
Lillesand TM, Kiefer RW, Chipman JW (2014) Remote sensing and image interpretation, 7th edn. Wiley, New York, USA (ISBN 978-1-118-34328-9)
Lloyd D (1990) A phonological classification of terrestrial vegetation cover using shortwave vegetation index imagery. Int J Remote Sens 11(12):2269–2279. https://doi.org/10.1080/01431169008955174
Lobo A, Moloney K, Chic O, Chiariello N (1998) Analysis of finescale spatial pattern of a grassland from remotely–sensed imagery and field collected data. Landsc Ecol 13(2):111–131. https://doi.org/10.1023/A:1007938526886
Macdonald SE, Landhäusser SM, Skousen J, Franklin J, Frouz J, Hall S, Jacobs DF, Quideau S (2015) Forest restoration following surface mining disturbance: challenges and solutions. New For 46:703–732. https://doi.org/10.1007/s11056-015-9506-4
Manna S, Nandy S, Chanda A, Akhand A, Hazra S, Dadhawal VK (2014) Estimating aboveground biomass in Avicennia marina plantation in Indian Sundarbans using high-resolution satellite data. J Appl Remote Sens 8:083638. https://doi.org/10.1117/1.jrs.8.083638
Marschner B, Noble AD (2000) Chemical and biological processes leading to the neutralization of acidity in soil incubated with litter material. Soil Biol Biochem 32(6):805–813. https://doi.org/10.1016/S0038-0717(99)00209-6
Massey HF, Barnhisel RI (1972) Copper, Nickel and zinc released from acid coal mine spoil materials of eastern Kentucky. Soil Sci 113(3):207–212
Matheron G (1963) Principles of geostatistics. Econ Geol 58:1246–1266
Mohr D, Simon M, Toppa W (2005) Stand composition affects soil quality in oak stands on reclaimed and natural sites. Geoderma 129(1–2):45–53. https://doi.org/10.1016/j.geoderma.2004.12.029
Montagnini F, Sancho F (1990) Impacts of native trees in tropical soils: a study in the Atlantic lowlands of Costa Rica. Ambio 19(8):386–390. https://www.jstor.org/stable/4313746
Mutanga O, Rugege D (2006) Integrating remote sensing and spatial statistics to model herbaceous biomass distribution in a tropical savanna. Int J Remote Sens 27:3499–3514. https://doi.org/10.1080/01431160600639735
Mysterud A, Tryjanowski P, Panek M, Pettorelli N, Stenseth N (2007) Inter-specific synchrony of two contrasting ungulates: wild boar (Sus scrofa) and roe deer (Capreolus capreolus). Oecologia 151(2):232–239. https://doi.org/10.1007/s00442-006-0584-z
Nakahara Y, Tabata T, Ohno T, Furukawa F, Inokuchi K, Katagiri K, Hirayama Y (2019) Discussion on regional revitalization using woody biomass resources as renewable energy. Int J Energy Environ Eng 10:243–256. https://doi.org/10.1007/s40095-019-0300-5
Nicolini F, Topp W (2005) Soil properties in plantations of sessile oak (Quercus petraea) and red oak (Quercus rubra) in reclaimed lignite open-cast mines of the Rhineland. Geoderma 129(1–2):65–72. https://doi.org/10.1016/j.geoderma.2004.12.031
Norden U (1994) Influence of tree species on acidification and mineral pools in deciduous forest soils of South Sweden. Water Air Soil Poll 76(3–4):363–381
Owate OA, Mware MJ, Kinyanjui MJ (2018) Allometric equations for estimating Silk Oak (Grevillea robusta) biomass in agricultural landscapes of Maragu Subcounty, Kenya. Int J Forest Res 2018:1–14. https://doi.org/10.1155/2018/6495271
Pan Y, Richard A, Pekka E et al (2011) A large and persistent carbon sink in the world’s forests. Science 80(333):988–993. https://doi.org/10.1126/science.1201609
Papritz A, Stein A (1999) Spatial prediction by linear kriging. In: Stein A, van der Meer F, Gorte B (eds) Spatial statistics for remote sensing. Kluwer, Dordrecht, pp 83–113
Parrotta JA (1992) The role of plantation forests in rehabilitating degraded tropical ecosystems. Agr Ecosyst Environ 41(2):115–133. https://doi.org/10.1016/0167-8809(92)90105-K
Parrotta JA, Turnbullb JW, Jonesc N (1997) Catalyzing native forest regeneration on degraded tropical lands. Forest Ecol Manag 99(1–2):1–7. https://doi.org/10.1016/S0378-1127(97)00190-4
Penuelas J, Filella I (2001) Phenology—responses to a warming world. Science 294:793–795. https://doi.org/10.1126/science.1066860
Pettorelli N, Vik J, Mysterud A, Gaillard JM, Tucker C, Stenseth N (2005) Using the satellite-derived NDVI to assess ecological responses to environmental change. Trends Ecol Evol 20(9):503–510
Piao SL, Fang JY, Zhou LM, Tan K, Tao S (2007) Changes in biomass carbon stocks in China’s grasslands between 1982 and 1999. Glob Biogeochem Cycles 21(2):1–10. https://doi.org/10.1029/2005GB002634
Piha MI, Vallack HW, Michael N, Reeler BM (1995) A low input approach to vegetation establishment on mine and coal ash wastes in semi-arid regions. II. Lagooned pulverized fuel ash in Zimbabwe. J Appl Ecol 32(2):382–390. https://doi.org/10.1016/j.tree.2005.05.011
Purohit P, Fischer G (2014) Second-generation biofuel potential in India: sustainability and cost considerations. UNEP Risø Centre on Energy, Climate and Sustainable Development, Copenhagen
Raich JW, Russell AE, Kitayama K, Patron WJ, Vitousek PM (2006) Temperature influences carbon accumulation in moist tropical forests. Ecology 87:76–87. https://doi.org/10.1890/05-0023
Rajashekar G, Fararoda R, Reddy RS, Jha CS, Ganeshaiah KN, Singh JS, Dadhwal VK (2018) Spatial distribution of forest biomass carbon (Above and below ground) in Indian forests. Ecol Indic 85:742–752. https://doi.org/10.1016/j.ecolind.2017.11.024
Ravindranath NH, Ostwald M (2008) Carbon inventory methods handbook for greenhouse gas inventory, carbon mitigation and roundwood production projects. In: Advances in global change research. Springer, Berlin. https://doi.org/https://doi.org/10.1007/978-1-4020-6547-7
Rawat JK, Nautiyal JC (1988) Forest biomass: a source of food, feed and fuel. Indian For 114(8):429–439
Reed B, Brown J, Vanderzee D, Loveland T, Merchant J, Ohlen D (1994) Measuring phenological variability from satellite imagery. J Veg Sci 5(5):703–714. https://doi.org/10.2307/3235884
Richardson JA (1975) Physical problem of growing plant on colliery waste. In: Chadwick MJ, Goodman GT (eds) The ecology of resource degradation and renewal. Blackwell Scientific Publications, Oxford, pp 275–285
Richardson JA, Greenwood EF (1967) Soil moisture tension in relation to plant colonisation of pit heaps. Proc Univ Newctle Tyne Phil Soc 1:129–136
Rouse JW, Haas RH, Schell JA, Deering, DW (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 DC, pp 309–317
Sahu SC, Suresh HS, Ravindranath NH (2016) Forest structure, composition, and above ground biomass of tree community in tropical dry forests of Eastern Ghats India. Not Sci Biol 8(1):125–133. https://doi.org/10.15835/nsb819746
Salunkhe O, Khare PK, Sahu TR, Singh S (2016) Estimation of tree biomass reserves in tropical deciduous forests of Central India by non-destructive approach. Trop Ecol 57(2):153–161
Sanchez PA, Palm CA, Davey CB, Szott LT, Russell CE (1985) Trees as soil improver in the humid tropics? In: Cannel MGR, Jackson JE (eds) Attributes of trees as crop plants. Institute of Terrestrial Ecology, Abbots Ripton, Huntingdon, pp 327–350
Saxena HO, Brahmam M (1997) The Flora of Orissa. Orissa Forest Development Corporation Limited, Bhubaneswar, pp 1–4
Schaller N (1993) The concept of agricultural sustainability. Agr Ecosyst Environ 46(1–4):89–97. https://doi.org/10.1016/0167-8809(93)90016-I
Schino G, Borfecchia F, De Cecco L, Dibari C, Iannetta M, Martini S, Pedrotti F (2003) Satellite estimate of grass biomass in a mountainous range in central Italy. Agroforest Syst 59(2):157–162
Schramm JR (1966) Plant colonization studies on black waste from anthracite mining in Pennsylvania. Trans Am Philos Soc 56(1):1–194. https://doi.org/10.1023/A:1026308928874
Sharma BD, Gupta IC (1989) Effect of tree cover on soil fertility in western Rajasthan. Indian For 115(5):348–354
Sinclair T, Hoffer R, Schreiber M (1971) Reflectance and internal structure of leaves from several crops during a growing season. Agron J 633(6):864–868
Singer PC, Stumm W (1970) Acidic mine drainage- the rate determining step. Science 167(3921):1121–1123
Singh TP, Das S (2014) Predictive analysis for vegetation biomass assessment in Western Ghat Region (WG) using geospatial techniques. J Indian Soc Remote Sens 42(3):549–557. https://doi.org/10.1007/s12524-013-0335-7
Singh JS, Singh KP, Jha AK (1996) Final Technical Report submitted to the Ministry of Coal, Govt. of India, p 116
Singh S, Dadhwal VK, Patil P (2012) Assessment of aboveground phytomass in temperate forests of Kashmir valley, J & K, India. Int J Ecol Environ Sci 38:47–58
Sutton P, Dick WA (1987) Reclamation of acidic mined lands in humid areas. Adv Agron 41:377–405. https://doi.org/10.1016/S0065-2113(08)60809-3
Torres AB, Lovett JC (2013) Using basal area to estimate aboveground carbon stocks in forests: La Primavera Biosphere’s Reserve, Mexico. Forestry 86:267–281. https://doi.org/10.1093/forestry/cps084
Tucker C (1979) Red and photographic infra red linear combination for monitoring vegetation. Remote Sens Environ 8(2):127–150. https://doi.org/10.1016/0034-4257(79)90013-0
Tucker C, Vanpraet C, Sharman M, Vanittersum G (1985) Satellite remote-sensing of total herbaceous biomass production in the Senegalese Sahel—1980–1984. Remote Sens Environ 17(3):233–249. https://doi.org/10.1016/0034-4257(85)90097-5
Tumwebaze SB, Bevilacqua E, Briggs R, Volk T (2013) Allometric biomass equations for tree species used in agroforestry systems in Uganda. Agroforestry Syst 87(4):781–795. https://doi.org/10.1007/s10457-013-9596-y
Upgupta S, Singh S, Tiwari PS (2015) Estimation of aboveground phytomass of plantations using digital photogrammetry and high resolution remote sensing data. J Indian Soc Remote Sens 43:311–323. https://doi.org/10.1007/s12524-014-0401-9
Vashum KT, Jayakumar S (2012) Methods to estimate above ground biomass and carbon stock in natural forest—a review. J Ecosyst Ecogr 2(4):1–7. https://doi.org/10.4172/2157-7625.1000116
Walkley AJ, Black IA (1934) Estimation of soil organic carbon by the chromic acid titration method. Soil Sci 37(1):29–38. https://doi.org/10.1097/00010694-193401000-00003
Ward SG, Pickersgill GE, Michaelsen DV, Bell DT (1985) Responses to factorial combinations of nitrogen, phosphorus and potassium fertilizers by saplings of Eucalyptus saltgna Sm. and the prediction of the responses by DRIS indices. Aust For Res 15(1):27–32
Williams PJ (1975) Investigation in to the nitrogen cycle in colliery spoils. In: Chadwick MJ, Goodman GT (eds) The ecology of resource degradation and renewal. Blackwell Scientific Publications, Oxford, pp 259–274
Xue J, Su B (2017) Significant remote sensing vegetation indices: a review of developments and applications. J Sensors. https://doi.org/10.1155/2017/1353691
Yadav BKV, Nandy S (2015) Mapping aboveground woody biomass using forest inventory, remote sensing and geostatistical techniques. Environ Monit Assess. https://doi.org/10.1007/s10661-015-4551-1
Zipper CE, Burger JA, Skousen JG, Angel PN, Barton CD, Davis V, Franklin JA (2011) Restoring forests and associated ecosystem services on Appalachian coal surface mines. Environ Manag 47:751–765. https://doi.org/10.1007/s00267-011-9670-z
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The authors duly acknowledge the financial support received from NRSC Hyderabad project (Sanction No. NRSC/FEG/VCP dt 03/07/2015), constant support of GM (Mines) NALCO, Damanjodi for providing appropriate permissions in the field. The second author is grateful to UGC for providing Non-Net fellowship and last author is grateful to DST-INSPIRE for providing fellowship (Sanction No. DST/INSPIRE Fellowship/2015/IF150127 dated 10.04.2015) for undertaking the research.
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The authors duly acknowledge the financial support received from NRSC Hyderabad project (Sanction No. NRSC/FEG/VCP dt 03/07/2015).
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Banerjee, K., Sahoo, C.K. & Paul, R. Assessment and modelling of vegetation biomass in a major bauxite mine of Eastern Ghats, India. Model. Earth Syst. Environ. 7, 2341–2361 (2021). https://doi.org/10.1007/s40808-020-01004-4
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DOI: https://doi.org/10.1007/s40808-020-01004-4