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Sarma, K. K.
- Recognizing the Rapid Expansion of Rubber Plantation – A Threat to Native Forest in Parts of Northeast India
Abstract Views :346 |
PDF Views:109
Authors
Affiliations
1 North Eastern Space Applications Centre, Umiam 793 103, IN
2 Department of Ecology and Environmental Science, Assam University, Silchar 788 011, IN
1 North Eastern Space Applications Centre, Umiam 793 103, IN
2 Department of Ecology and Environmental Science, Assam University, Silchar 788 011, IN
Source
Current Science, Vol 114, No 01 (2018), Pagination: 207-213Abstract
With the current trend of land use/land cover (LULC) change taking place globally, several parts of northeast India are also showing signs of change in LULC pattern leading to forest loss. This study focusses on the expansion of monoculture rubber plantation (Hevea brasiliensis) in selected sub-watersheds in north-east India, and distributed in parts of north Tripura, Mizoram and a major portion in the Karimganj district of Assam. Remote sensing and GIS technique has been used to map and analyse the extent of rubber plantation using temporal IRS LISS III satellite data from 1997 to 2013. It has been observed that rubber plantation increased from 4.47 sq. km to 28.42 sq. km in various parts of the study area. The expansion was more rapid during recent times, i.e. during 2010 to 2013. The plantation took place in dense forest, open forest and degraded forest areas. The spread of the plantation was also observed in one reserved forest located within the study area. There are several instances of negative impacts of rubber plantation expansion in Southeast Asia. Similar expansion of rubber plantation has been observed in northeast India as well. Further spread of rubber plantations in the region needs to be regulated to avoid conversion of dense and reserved forest areas by fostering use of mixed cropping methods instead of rubber monocultures, and by adopting more sustainable land use and management practices.Keywords
Northeast India, Remote Sensing and GIS, Rubber Plantation.References
- Rubber Board, Rubber Growers Companion, Government of India, Kottayam, Kerala, India, 2005, p. 115.
- Fox, J. M., Vogler, J. B., Sen, O. L., Giambelluca, T. W. and Ziegler A. D., Simulating land-cover change in montane mainland southeast Asia. Environ. Manage., 2012, 49, 968–979.
- Mertz, O., Padoch, C., Fox, J., Cramb, R. A., Leisz, S. J. and Lam, N. T., Swidden change in Southeast Asia: understanding causes and consequences. Hum. Ecol., 2009, 37, 259–264.
- Leisz, S. J., Yasuyuki, K., Fox, J., Masayuki, Y. and Rambo, T. A., Land use changes in the uplands of Southeast Asia: proximate and distant causes. J. Southeast Asian Stud., 2009, 47(3), 237–243.
- Thongmanivong, S., Fujita, Y., Phanvilay, K. and Vongvisouk, T., Agrarian land use transformation in Northern Laos: from swidden to rubber. J. Southeast Asian Stud., 2009, 47(3), 330–347.
- Shrestha, A. B. and Devkota, L. P., Climate Change in the Eastern Himalayas: Observed Trends and Model Projections Climate Change Impact and Vulnerability in the Eastern Himalayas – Technical Report 1, Kathmandu, ICIMOD, 2010.
- Li, H., Ma Y., Aide, T. M. and Liu, W., Past, present and future land-use in Xishuangbanna, China and the implications for carbon dynamics. For. Ecol. Manage, 2008, 255, 16–24.
- Hu, H., Liu, W. and Cao, M., Impact of land use and land cover changes on ecosystem services in Menglun, Xishuangbanna, Southwest China. Environ. Monit. Assess., 2008, 46(1–3), 147–156.
- Guardiola-Claramonte, M., Troch, P. A., Ziegler, A. D., Giambelluca, T. W., Durcik, M. and Vogler, J. B., Hydrologic effects of the expansion of rubber (Heveabrasiliensis) in a tropical catchment. Ecohydrology, 2010, 306–314.
- Mann, C. C., Addicted to rubber. Science, 2009, 325, 565–566.
- Ziegler, A. D., Fox, J. M. and Xu, J., The rubber juggernaut. Science, 2009, 324, 1024–1025.
- Hunter Jr., M. L. (ed.), Maintaining Biodiversity in Forest Ecosystems, Cambridge University Press, Cambridge, 1999, p. 716.
- Hartley, M. J., Rationale and methods for conserving biodiversity in plantation forests. For. Ecol. Manage., 2002, 155, 81–95.
- Allen, R. B., Platt, K. H. and Coker, R. E. J., Understorey species composition patterns in a Pinus radiata D. Don plantation on the central North Island volcanic plateau, New Zealand. New Zealand J. For. Sci., 1995, 25, 301–317.
- Thomas, E. W., Dolman, P. M. and Edwards, D. P., Increasing demand for natural rubber necessitates a robust sustainability initiative to mitigate impacts on tropical biodiversity. Conserv. Lett., 2015, 8(4), 230–241.
- Ahrends, A., Hollingsworth, P. M., Ziegler, A. D., Fox, J. M., Chen, H., Su, Y. and Xu, J., Current trends of rubber plantation expansion may threaten biodiversity and livelihoods. Glob. Environ. Change, 2015, 34, 48–58.
- International Tropical Timber Organization (ITTO), Encouraging Industrial Forest Plantations in the Tropics: Report of a Global Study, International Tropical Timber Organization, Yokohama, Japan, 2009.
- Puyravaud, J. P., Davidar, P. and Laurance, W. F., Cryptic destruction of India’s native forests. Conserv. Lett., 2010, 3, 390–394.
- Chen, H., Yi, Z.-F., Schmidt-Vogt, D., Ahrends, A., Beckschäfer, P. and Kleinn, C., Pushing the limits: the pattern and dynamics of rubber monoculture expansion in Xishuangbanna, SW China. PLoS ONE, 2016, 11(2), e0150062; doi:10.1371/journal.pone.0150062.
- Thomas, E. W., Dolman, P. M. and Edwards, D. P., Increasing demand for natural rubber necessitates a robust sustainability initiative to mitigate impacts on tropical biodiversity. Conserv. Lett., 2015, 8(4), 230–241.
- Indian Chamber of Commerce (ICC), India’s North East diversifying growth opportunities, ICC-PWC Report 2013, India.
- http://databank.nedfi.com/content/ner-databank
- Krishnakumar, Rubber Planters Conference, India, A review of extension and development strategies in Rubber, Rubber Research Institute of India, Kottyam, Kerala, 2002, p. 341.
- Rubber Board of India (RBI), Bulletins, Kerala. Govt of India 2013; http://rubberboard.org.in/Publication.asp.
- Roy, M., Saha, A. and Roy, M., Ecological impact of rubber plantations: Tripura perspective. Int. J. Curr. Res., 2014, 2(11), 10334–10340.
- Mazumdar, A., Datta, S., Choudhary, B. K. and Mazumdar, K., Do extensive rubber plantation influences local environment? A case study from Tripura, Northeast India. Curr. World Environ., 2014, 9(3), 768–779.
- Ziegler, A. D., Phelps, J. and Yuen, J. Q., Carbon outcomes of major land-cover transitions in SE Asia: great uncertainties and REDD+ policy implications. Global Change. Biol., 2012, 18, 3087–3099.
- Li, H., Youxin, Ma, T., Mitchell, A. and Wenjun, L., Past, present and future land-use in Xishuangbanna, China and implications for carbon dynamics. For. Ecol. Manage., 2008, 255, 16–24.
- Li, S., Zou,, F., Zhang, Q. and Sheldon, F. H., Species richness and guild composition in rubber plantations compared to secondary forest on Hainan Island, China. Agrofor. Syst., 2013, 87, 1117–1128.
- Guardiola-Claramonte, M., Troch, P. A., Ziegler, A. D., Giambelluca, T. W., Vogler, J. B. and Nullet, M. A., Local hydrologic effects of introducing non-native vegetation in a tropical catchment. Ecohydrology, 2008, 1, 13–22.
- DeBlécourt, M., Brumme, R., Xu, J., Corre, M. D. and Veldkamp, E., Soil carbon stocks decrease following conversion of secondary forests to rubber (Hevea brasiliensis) plantations. PLoS ONE, 2013, 8, e69357.
- Zhang, H., Zhang, G. L., Zhao, Y. G., Zhao, W. J. and Qi, Z. P., Chemical degradation of a Ferralsol (Oxisol) under intensive rubber (Hevea brasiliensis) farming in tropical China. Soil Tillage Res., 2007, 93(1), 109–116.
- Warren-Thomas, E., Dolman, P. M. and Edwards, D. P., Increasing demand for natural rubber necessitates a robust sustainability initiative to mitigate impacts on tropical biodiversity. Conserv. Lett., 2015; http://dx.doi.org/10.1111/conl.12170.
- Jacob, C. K. and Liyanage, A. de S., Diseases of economic importance in rubber. In Natural Rubber: Biology, Cultivation and Technology (eds Sethuraj, M. R. and Mathew, N. T.), Dev. Crop Sci., Elsevier, Amsterdam and New York, 1992, vol. 23, pp. 324–359.
- Jayasinghe, C. K., Pests and diseases of Hevea rubber and their geographical distribution. Bull. Rubber Res. Inst. Sri Lanka, 1999, 40, 1–8.
- Liyanage, K. K., Khan, S., Mortimer, P. E., Hyde, K. D., Xu, J., Brooks, S. and Ming, Z., Powdery mildew disease of rubber tree. For. Pathol., 2016, 46(2), 90–103.
- Bartholomé, E. and Belward, A., GLC 2000: a new approach to global land covers mapping from Earth observation data. Int. J. Remote Sens., 2005, 26, 1959–1977.
- Food and Agriculture Organization (FAO), FAOSTAT, 2013; http://faostat3.fao.org/faostat-gateway/go/to/home/E
- Viswanathan, P. K., Emerging smallholder rubber farming systems in India and Thailand: a comparative economic analysis. Asian J. Agric. Develop. (AJAD), 2008, 5(2), 1–19.
- North Eastern Council (NEC), North Eastern region Vision 2020, 2008, p. 77.
- Fox, J. M., Castella, J. C., Ziegler, A. D. and Westlay, S. B., Rubber plantation expand in mountainous southeast Asia: what are the consequences for the environment? Asia Pacific Issues, Analysis from the East-West Centre, 2014, p. 114.
- Oku, E., Iwara, A. and Ekukinam, E., Effects of age of rubber (Hevea brasiliensis Muell Arg.) plantation on pH, organic carbon, organic matter, nitrogen and micronutrient status of ultisols in the humid forest zone of Nigeria, Kasetsart. J. Nat. Sci., 2012, 46, 684–693.
- Monkai, J., Hyde, A. D., Xu, J. and Mortimer, P. E., Diversity and ecology of soil fungal communities in rubber plantations. Fungal Biol. Rev., 2016; http://dx.doi.org/10.1016/j.fbr.2016.08.003
- http://www.cirad.fr/en/research-operations/research-results/2013/rubber-intercropping-with-coffee-or cocoa-is more-profitable-than-monocropping
- Snoeck, D., Lacote, R., Keli, J., Doumbia, A., Chapuset, T., Jagoret, P. and Gohet E., Association of Hevea with other tree crops can be more profitable than Hevea monocrop during first 12 years. Ind. Crops Prod., 2013, 48, 578–586.
- Jessy, M. D., Joseph, P. and George, S., Possibilities of diverse rubber based agroforestry systems for smallholdings in India. Agroforestry Syst., 2016; doi:10.1007/s 10457-016-9953-8.
- Total Electron Content and Epicentral Distance of 2015 Mw 7.8 Nepal Earthquake Revealed by Continuous Observations Data
Abstract Views :534 |
PDF Views:91
Authors
Gopal Sharma
1,
S. Mohanty
2,
P. K. Champati Ray
3,
M. Somorjit Singh
1,
K. K. Sarma
1,
P. L. N. Raju
1
Affiliations
1 North Eastern Space Application Centre, Umiam 793 103, IN
2 Indian Institute of Technology (Indian School of Mines), Dhanbad 826 004, IN
3 Indian Institute of Remote Sensing, Dehradun 248 001, IN
1 North Eastern Space Application Centre, Umiam 793 103, IN
2 Indian Institute of Technology (Indian School of Mines), Dhanbad 826 004, IN
3 Indian Institute of Remote Sensing, Dehradun 248 001, IN
Source
Current Science, Vol 115, No 1 (2018), Pagination: 27-29Abstract
A large magnitude (Mw 7.8) earthquake occurred on 25 April 2015 (06:11 UTC) at 28.1473°N and 84.7079°E, 34 km east-southeast of Lamjung, Nepal. The devastating event was accompanied by two large aftershocks of Mw 6.6 (on 25 April 2015, 06:45 UTC) and Mw 6.7 (on 26 April 2015 at 09:10 UTC). According to the USGS earthquake catalogue, 65 aftershocks were recorded within a period of three days from the main event; the strongest aftershock had occurred on 12 May 2015 at 07:05 UTC.References
- Liu, J. Y., Chuo, Y. J., Shan, S. J., Tsai, Y. B., Chen, Y. I., Pulinets, S. A. and Yu, S. B., Ann. Geophys., 2004, 22, 1585–1593.
- Sharma, G., Champatiray, P. K., Mohanty S. and Kannaujiya, S., Quaternary Int., 2017, 462, 65–74.
- Abba, I., Abidin, W. A. W. Z., Masri, T., Ping, K. H., Muhammad, M. S. and Pai, B. V., Niger. J. Technol., 2015, 34(3), 523–529.
- Ndeda, J. O. H. and Odera, P. O., Appl. Phys. Res., 2014, 6(1), 19–25.
- Adewale, A. O., Oyeyemi, E. O., Adeniyi, J. O., Adeloye, A. B. and Oladipo, O. A., Indian J. Radio Space Phys., 2011, 40, 21–25.
- Pulinets, S. A., Terrestrial Atm. Oceanic Sci., 2004, 15(3), 413–435.
- Friedemann, F. T., Kulahci, I., Cyr, G., Ling, J., Winnick, M., Tregloan-Reed, J., and Freund, M. M., J. Atmos. Solar-Terrestrial Phys., 2009, 71, 1824–1834.
- Forest Biometric Parameter Extraction using Unmanned Aerial Vehicle to Aid in Forest Inventory Data Collection
Abstract Views :276 |
PDF Views:90
Authors
Kasturi Chakraborty
1,
Victor Saikom
1,
Suranjana B. Borah
1,
Mamita Kalita
1,
Chirag Gupta
1,
Laishram Ricky Meitei
2,
K. K. Sarma
1,
P. L. N. Raju
1
Affiliations
1 North Eastern Space Applications Centre, Umiam 793 103, IN
2 Botanical Survey of India, ERC, Shillong 793 003, IN
1 North Eastern Space Applications Centre, Umiam 793 103, IN
2 Botanical Survey of India, ERC, Shillong 793 003, IN
Source
Current Science, Vol 117, No 7 (2019), Pagination: 1194-1199Abstract
Frequent ground surveys and satellite-based information on tree height, canopy gaps and forest dynamics are limited by time, cost and spatial scales. In this study, an attempt has been made to derive forest biometric parameter on tree height by canopy height model and crown area projections using unmanned aerial vehicles (UAV)–RGB image. Sorensen’s coefficient has been used as an index to compare between ground inventory and UAV-based species identification. The statistical paired t-test showed UAV RGB can be used for maximum tree height and tree crown extraction to aid in ground surveys.Keywords
Canopy Height Model, Canopy Area Projection, Forest Biometry, Unmanned Aerial Vehicles.References
- Gálvez, P. J., McCall, M. K., Napoletano, B. M., Wich, S. A. and Koh Pin, L., Small drones for community-based forest monitoring: an assessment of their feasibility and potential in tropical areas. Forests, 2014, 5, 1481–1507.
- Banu, P. T., Borlea, F. G. and Banu, C., The use of drones in forestry. J. Environ. Sci. Eng., 2016, B5, 557–562.
- Kaneko, K. and Nohara, S., Review of effective vegetation mapping using the UAV (unmanned aerial vehicle) method. J. Geogr. Inf. Syst., 2014, 6, 733–742.
- Lu, B. and He, Y., Species classification using unmanned aerial vehicle (UAV)-acquired high spatial resolution imagery in heterogeneous grassland. ISPRS J. Photogramm. Remote Sensing, 2017, 128, 73–85.
- Zarco-Tejada, P. J., Diaz-Varela, R., Angileri, V. and Loudjani, P., Tree height quantification using very high resolution imagery acquired from an unmanned aerial vehicle (UAV) and automatic 3D photo-reconstruction methods. Eur. J. Agron., 2014, 55, 89–99.
- Padua, L., Vanko, J., Hruška, J., Adão, T., Sousa, J. J., Peres, E. and Morais, R., UAS, sensors, and data processing in agroforestry: a review towards practical applications. Int. J. Remote Sensing, 2017, 38(8–10), 2349–2391.
- Fryskowska, A., Kedzierski, M., Grochala, A. and Braula, A., Calibration of low cost RGB and NIR UAV cameras. In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXIII ISPRS 2016 Congress Prague, Czech Republic, 2016, XLI-B1.
- Geiger, A., Moosmann, F., Car, O. and Schuster, B., Automatic camera and range sensor calibration using a single shot. In Proceedings – IEEE International Conference on Robotics and Automation, 2012.
- Lebourgeois, V., Bégué, A., Labbé, S., Mallavan, B., Prevot, L. and Roux, B., Can commercial digital cameras be used as multispectral? A crop monitoring test. Sensors, 2008, 8(11), 7300– 7322.
- Han, G. Y., Jung, H. S. and Kwon, O., How to utilize vegetation survey using drone image and image analysis software. J. Ecol. Environ., 2017, 41(18).
- Sorensen, T., A method of establishing groups of equal amplitude in plant sociology based on similarity of species content and its application to analyses of the vegetation on Danish commons. Kongelige Danske Videnskabernes Selskab. Biologiske Skrifier, 1948, 5, 1–34.
- Gara, T. W., Murwira, A., Chivhenge, E., Dube, T. and Bangira, T., Estimating wood volume from canopy area in deciduous woodlands of Zimbabwe. South Forests: J. For. Sci., 2014, 76(4), 237–244.
- Baatz, M. and Schape, A., Multiresolution segmentation: an optimization approach for high quality multi-scale image segmentation. In Angewandte Geographische Informations – Verarbeitung, XII (eds Strobl, J., Blaschke, T. and Griesbner, G.), Wichmann Verlag, Karlsruhe, Germany, 2000, pp. 12–23.
- Getzin, S., Wiegand, K. and Schöning, I., Assessing biodiversity in forests using very high-resolution images and unmanned aerial vehicles. Methods Ecol. Evol., 2012, 3, 397–404.
- Oldeland, J., Stoltenberg, G. A., Naftal, L. and Strohbach, J. B., The potential of UAV derived image features for discriminating savannah tree species. In The Roles of Remote Sensing in Nature Conservation (eds Díaz-Delgado, R., Lucas, R. and Hurford, C.), Springer, Germany, 2017, pp. 183–201.
- Yu, X., Hyyppä, J., Vastaranta, M., Holopainen, M. and Viitala, R., Predicting individual tree attributes from airborne laser point clouds based on the random forests technique. ISPRS J. Photogramm., 2011, 66, 28–37.
- Whitehead, K. and Hugenholtz, C. H., Remote sensing of the environment with small unmanned aircraft systems (UASs), part 1: a review of progress and challenges. J. Unmanned Veh. Syst., 2014, 2(3), 69–85.