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- A. A. Murkute
- Shashi Bala Singh
- S. K. Barik
- O. N. Tiwari
- D. Adhikari
- R. Tiwary
- S. Barua
- Z. Reshi
- B. K. Datta
- S. S. Samant
- A. Chettri
- K. Upadhaya
- M. A. Shah
- K. Majumdar
- A. Pradhan
- M. L. Thakur
- N. Salam
- Z. Zahoor
- S. H. Mir
- Z. A. Kaloo
- P. C. Panda
- S. Kumar
- J. P. Singh
- P. Gajurel
- P. K. Kamila
- S. Kashung
- R. N. Kulloli
- B. R. P. Rao
- K. Haridasan
- V. S. Santhosh Mithra
- Raji Pushpalatha
- S. Sunitha
- James George
- R. S. Singh
- J. Tarafdar
- Surajit Mitra
- Chandra Deo
- Sunil Pareek
- B. K. M. Lakshmi
- R. Shiny
- G. Byju
Journals
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Singh, P. P.
- Solar Thermal Greenhouse
Abstract Views :314 |
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Authors
Affiliations
1 ICAR–National Research Centre for Citrus, Amravati Road, Nagpur 440 033, IN
2 Defence Institute of Physiology and Allied Sciences, DRDO, Timarpur, Delhi 110 054, IN
3 Sant Baba Bhag Singh Institute of Engineering and Technology, Village Khiala, District Jalandhar 144 030, IN
1 ICAR–National Research Centre for Citrus, Amravati Road, Nagpur 440 033, IN
2 Defence Institute of Physiology and Allied Sciences, DRDO, Timarpur, Delhi 110 054, IN
3 Sant Baba Bhag Singh Institute of Engineering and Technology, Village Khiala, District Jalandhar 144 030, IN
Source
Current Science, Vol 108, No 1 (2015), Pagination: 12-12Abstract
No Abstract.- Geographic Distribution Pattern of Threatened Plants of India and Steps Taken for their Conservation
Abstract Views :342 |
PDF Views:79
Authors
Affiliations
1 Department of Botany, North-Eastern Hill University, Shillong 793 022, IN
2 Department of Biotechnology, Government of India, New Delhi 110 003, IN
1 Department of Botany, North-Eastern Hill University, Shillong 793 022, IN
2 Department of Biotechnology, Government of India, New Delhi 110 003, IN
Source
Current Science, Vol 114, No 03 (2018), Pagination: 470-503Abstract
In spite of its importance in nation-wide conservation planning, comprehensive information on geographic distribution of threatened plants in India is lacking. Even the threat status of these plants is ambiguous and the country’s effort to conserve them is not widely known. A critical analysis of these aspects is essential for identifying gaps in threatened plant conservation. Keeping these in view, we present a review of the existing knowledge on geographic distribution pattern of threatened plants of India, their threat status, and conservation action undertaken to recover these species. Using the available data, we unravel patterns of distribution of these threatened plants in different states of India. When ranking of the families was done based on the total number of species under different threat categories, Orchidaceae (644), Fabaceae (185), Poaceae (164), Rubiaceae (103), Asteraceae (88), Euphorbiaceae (72), Asclepiadaceae (62) and Acanthaceae (60) constituted more than half of the total threatened plant species of India. A review on conservation efforts so far undertaken in different parts of the country revealed that the biodiversity-rich phytogeographic regions such as the Himalayas, North East India, and Andaman and Nicobar Islands had lesser conservation efforts in comparison to the Western Ghats, Vindhyas and Peninsular regions of India. The skewed distribution of threatened plants in different states did not truly reflect their absolute presence or absence; rather it is the result of incomplete survey because of the difficult geomorphological and associated geo-climatic conditions, tough terrain and remote locations. In addition, the current data on threatened plants suffer from methodological shortcomings such as classification without using the population data that are so crucial in modern day threat classification, and lack of long-term observational data. The review emphasizes the use of modern tools such as ecological niche modelling for population inventory, area of occupancy and extent of occurrence, and trends in population size and regeneration for precise threat classification conforming to globally accepted methods (e.g. IUCN version 3.1). The works undertaken through the support of Department of Biotechnology, GoI for conservation of 156 threatened plant species under different disciplines of conservation biology during the past three decades have also been compiled and reviewed. A successfully tested protocol following an integrated approach for threatened species conservation is recommended for future conservation action.Keywords
Conservation Strategy, Geographic Distribution Pattern, Threatened Plants.References
- Franklin, J., Mapping Species Distributions: Spatial Inference and Prediction, Cambridge University Press, 2010, pp. 1–318.
- Woodruff, D. S., Biogeography and conservation in Southeast Asia: how 2.7 million years of repeated environmental fluctuations affect today’s patterns and the future of the remaining refugialphase biodiversity. Biodiver. Conserv., 2010, 19(4), 919–941.
- Pianka, E. R., Latitudinal gradients in species diversity: a review of concepts. Am. Nat., 1966, 100(910), 33–46.
- McKinney, M. L., Effects of national conservation spending and amount of protected area on species threat rates. Conserv. Biol., 2002, 16(2), 539–543.
- Singh, P. and Dash, S. S., Plant Discoveries 2013 – New Genera, Species and New Records, Botanical Survey of India, Kolkata, 2014.
- Forests MoEF, GoI, India’s Fourth National Report to the Convention on Biological Diversity, Ministry of Environment and Forests, Government of India, 2009; www.moef.nic.in/sites/default/files/India_Fourth_National_Report-FINAL_2.pdf
- Ravindranath, N. H., Joshi, N. V., Sukumar, R. and Saxena, A., Impact of climate change on forests in India. Curr. Sci., 2006, 90(3), 354–361.
- Chitale, V. S., Behera, M. D. and Roy, P. S., Future of endemic flora of biodiversity hotspots in India. PLoS ONE, 2014, 9(12), e115264.
- Adhikari, D., Tiwary, R. and Barik, S. K., Modelling hotspots for invasive alien plants in India. PLoS ONE, 2015, 10(7), e0134665.
- Roy, P. S. et al., Development of decadal (1985–1995–2005) land use and land cover database for India. Remote Sensing, 2015, 7(3), 2401–2430.
- Reaka-Kudla, M. L., Wilson, D. E. and Wilson, E. O. (eds), Biodiversity II: Understanding and Protecting our Biological Resources, Joseph Henry Press, Washington, DC, 1996; https://doi.org/10.17226/4901.
- IUCN Red List Categories and Criteria: Version 3.1, International Union for Conservation of Nature, Gland, Switzerland, UK, 2012, 2nd edn, pp. iv + 32.
- Jain, S. K. and Rao, R. R. (eds), An Assessment of Threatened Plants of India, Botanical Survey of India, Howrah, 1983, pp. 1–334.
- Nayar, M. P. and Sastry, A. R. K. (eds), Red Data Book of Indian Plants, Botanical Survey of India, Calcutta, 1987–1990, vols 3.
- Rao, C. K., Geetha, B. L. and Suresh, G., Red List of Threatened Vascular Plant Species in India, Botanical Survey of India, Howrah, 2003, pp. ix–144.
- Arisdason, W. and Lakshminarasimhan, P., Status of plant diversity in India: an overview, MoEF, GoI, 2016; http://www.bsienvis.nic.in/Database/Status_of_Plant_Diversity_in_India_17566.aspx/ (accessed on 28 February 2016).
- Hooker, J. D., The Flora of British India, Reeve and Col., London, 1872–1897, vols 1–7.
- Kanjilal, U. N., Das, A., Kanjilal, P. C. and De, R. N., Flora of Assam, Government of Assam, Bishen Singh Mahendra Pal Singh, Dehra Dun, 1939, vol. 3.
- Kanjilal, U. N., Kanjilal, P. C. and Das, A., Flora of Assam, Government of Assam, Bishen Singh Mahendra Pal Singh, Dehra Dun, 1938, vol. 2.
- Kanjilal, U. N., Kanjilal, P. C., Das, A. and Purkayastha, C., Flora of Assam, Government of Assam, Bishen Singh Mahendra Pal Singh, Dehra Dun, 1935, vol. 1.
- Kanjilal, U. N., Kanjilal, P. C., De, R. N. and Das, A., Flora of Assam, Government of Assam, Bishen Singh Mahendra Pal Singh, Dehra Dun, 1940, vol. 4.
- Bor, N. L., Flora of Assam, Government of Assam, Bishen Singh Mahendra Pal Singh, Dehra Dun, 1940, vol. 5.
- Hajra, P. K., Verma, D. M. and Giri, G. S., Materials for the Flora of Arunachal Pradesh, Botanical Survey of India, 1996, vol. 1.
- Giri, G. S., Pramanik, A. and Chowdhery, H. J., Materials for the Flora of Arunachal Pradesh, Botanical Survey of India, Kolkata, 2008, vol. 2.
- Chowdhery, H. J., Giri, G. S. and Pramanik, A., Materials for the Flora of Arunachal Pradesh, Botanical Survey of India, Kolkata, 2009, vol. 3.
- Molur, S. et al. (eds), Conservation Assessment and Management Plan (CAMP) for Selected Species of Medicinal Plants of Southern India, Zoo Outreach Organisatlon/CBSG, Bangalore, 23–25 February 1995.
- Molur, S. and Walker, S., Conservation Assessment and Management Plan (CAMP II) for Selected Species of Medicinal Plants of southern India, Zoo Outreach Organisatlon/ CBSG, Coimbatore, 12–14 February 1996.
- Molur, S. and Walker, S. (eds), Conservation Assessment and Management Plan for Selected Species of Medicinal Plants of Northern, Northeastern and Central India, Lucknow, 21–25 January 1997, Zoo Outreach Organisation, Conservation Breeding Specialist Group, Coimbatore, 1998, pp. iv + 64.
- Ved, D. K. and Tandon, V. (eds), Conservation Assessment and Management Plan Workshop for High Altitude Medicinal Plants of Jammu-Kashmir and Himachal Pradesh, FRLHT, Bangalore, 1998, p. 75.
- Kumar, C. S. et al. (eds), Conservation Assessment and Management Plan Workshop for Endemic Orchids of the Western Ghats, Wildlife Information Liaison Development Society Zoo and Outreach Organisation, 2001.
- Molur, S., Priya, A. R. B. and Walker, S., Report of the Conservation Assessment and Management Plan Workshop for Non-timber Forest Products of Nilgiri Biosphere Reserve, Indian Institute of Forest Management, Bhopal, 2001.
- Ved, D. K. et al. (eds), Conservation Assessment and Management Prioritization for the Medicinal Plants of Arunachal Pradesh, Assam, Meghalaya and Sikkim, Lotus Enterprises, Bangalore, 2003.
- Ved, D. K., Kinhal, G. A., Ravikumar, K., Sankar, R. V. and Haridasan, K., Conservation Assessment and Management Prioritisation (CAMP) for wild medicinal plants of North-East India. Med. Plant Conserv., 2005, 11, 40–44.
- Goraya, G. S., Jishtu, V., Rawat, G. S. and Ved, D. K., Wild medicinal plants of Himachal Pradesh: an assessment of their conservation status and management prioritisation, Himachal Pradesh Forest Department, Shimla, 2013.
- The IUCN RED List of Threatened Species; www.iucnredlist.org
- CITES, Checklist of CITES species, 2016; http://checklist.cites.org/#/en/ (accessed on 14 February 2016).
- ENVIS Centre on Medicinal Plants – FRLHT; http://envis.frlht.org/ (accessed on 6 August 2015).
- National Biodiversity Authority; http://nbaindia.org/content/18/21/1/notifications.html
- Ministry of Environment, Forest and Climate Change, GoI; www.moef.nic.in
- The Plant List, version 1.1. 2013; http://www.theplantlist.org/ (accessed on 1 January 2015).
- eFlora of the Botanical Survey of India; http://efloraindia.nic.in/efloraindia/homePage.action
- Encyclopedia of Life; http://eol.org
- WCSP, World Checklist of Selected Plant Families. Facilitated by the Royal Botanic Gardens, Kew, 2014; http://apps.kew.org/wcsp/ (retrieved 2011 onwards).
- Flowers of India; http://www.flowersofindia.net
- India Biodiversity Portal; http://indiabiodiversity.org/species/
- WWF, Hidden Himalayas: Asia’s Wonderlands – New Species Discoveries in the Eastern Himalayas, Volume-II 2009–2014, World Wide Fund for Nature, India, 2015.
- Neigel, J. E., Species–area relationships and marine conservation. Ecol. Appl., 2003, 13(1), 138–145.
- Inventory and Characterization of New Populations through Ecological Niche Modelling Improve Threat Assessment
Abstract Views :298 |
PDF Views:95
Authors
D. Adhikari
1,
Z. Reshi
2,
B. K. Datta
3,
S. S. Samant
4,
A. Chettri
5,
K. Upadhaya
6,
M. A. Shah
2,
P. P. Singh
1,
R. Tiwary
1,
K. Majumdar
3,
A. Pradhan
5,
M. L. Thakur
4,
N. Salam
2,
Z. Zahoor
2,
S. H. Mir
2,
Z. A. Kaloo
2,
S. K. Barik
1
Affiliations
1 Department of Botany, North-Eastern Hill University, Shillong 793 022, IN
2 Department of Botany, University of Kashmir, Srinagar 190 006, IN
3 Department of Botany, Tripura University, Suryamaninagar, Agartala 799 022, IN
4 G.B. Pant National Institute of Himalayan Environment and Sustainable Development, Himachal Unit, Mohal-Kullu 175 101, IN
5 Department of Botany, Sikkim University, Gangtok 737 102, IN
6 Department of Basic Science and Social Science, School of Technology, North-Eastern Hill University, Shillong 793 022, IN
1 Department of Botany, North-Eastern Hill University, Shillong 793 022, IN
2 Department of Botany, University of Kashmir, Srinagar 190 006, IN
3 Department of Botany, Tripura University, Suryamaninagar, Agartala 799 022, IN
4 G.B. Pant National Institute of Himalayan Environment and Sustainable Development, Himachal Unit, Mohal-Kullu 175 101, IN
5 Department of Botany, Sikkim University, Gangtok 737 102, IN
6 Department of Basic Science and Social Science, School of Technology, North-Eastern Hill University, Shillong 793 022, IN
Source
Current Science, Vol 114, No 03 (2018), Pagination: 519-531Abstract
Categorization of species under different threat classes is a pre-requisite for planning, management and monitoring of any species conservation programme. However, data availability, particularly at the population level, has been a major bottleneck in the correct categorization of threatened species. Till date, threat assessments have been mostly based on expert opinion and/or herbarium records. The availability of primary data on distribution of species and their p opulation attributes is limited in India because of inadequate field survey, which has been ascribed to resource constraints and inaccessibility. In this study, we demonstrate that ecological niche modelling (ENM) can be an economical and effective tool to guide surveys overcoming the above two constraints leading to the discovery of new populations of threatened species. Such data lead to improved threat assessment and more accurate categorization. We selected 14 threatened plants comprising 5 trees (Acer hookeri Miq., Bhesa robusta (Roxb.) Ding Hou, Gynocardia odorata Roxb., Ilex venulosa Hook. f. and Lagerstroemia minuticarpa Debb. ex P.C. Kanjilal), 8 herbs (Angelica glauca Edgew., Aquilegia nivalis Falc. ex Jackson, Artemisia amygdalina DC., Begonia satrapis C.B. Clarke, Corydalis cashmeriana Royle, Dactylorhiza hatagirea (D. Don) Soo, Podophyllum hexandrum Royle, and Rheum australe D. Don), and 1 pteridophyte (Angiopteris evecta (Forst.) Hoffm.) having distribution range in North East India, Eastern and Western Himalaya, and Jammu and Kashmir. The study was carried out between 2012 and 2016. ENM-based survey led to the discovery and characterization of 348 new populations. The data so obtained helped in assigning conservation status to 10 species, which earlier were never classified due to data deficiency. Using the new population and distribution data of the remaining four species, only one was confirmed regarding its existing status and two species were classified as ‘Critically endangered’ instead of the present classification as ‘Endangered’. The fourth species was classified as ‘Critically endangered’ against the earlier category of ‘Least concerned’.Keywords
Niche Modelling, Population Characterization, Threatened Plants, Threat Assessment.References
- Master, L. L., Assessing threats and setting priorities for conservation. Conserv. Biol., 1991, 5(4), 559–563.
- Mace, G. M. and Lande, R., Assessing extinction threats: toward a reevaluation of IUCN threatened species categories. Conserv. Biol., 1991, 5(2), 148–157.
- Moran, D. and Kanemoto, K., Identifying species threat hotspots from global supply chains. Nature Ecol. Evol., 2017, 1, 0023.
- Schemske, D. W., Husband, B. C., Ruckelshaus, M. H., Goodwillie, C., Parker, I. M. and Bishop, J. G., Evaluating approaches to the conservation of rare and endangered plants. Ecology, 1994, 75(3), 584–606.
- Hortal, J., de Bello, F., Diniz-Filho, J. A. F., Lewinsohn, T. M., Lobo, J. M. and Ladle, R. J., Seven shortfalls that beset large-scale knowledge of biodiversity. Annu. Rev. Ecol., Evol. Syst., 2015, 46, 523–549.
- Margules, C. R. and Pressey, R. L., Systematic conservation planning. Nature, 2000, 405(6783), 243–253.
- Elzinga, C. L., Salzer, D. W., Willoughby, J. W. and Gibbs, J. P., Monitoring Plant and Animal Populations: A Handbook for Field Viologists, John Wiley, Oxford, 2009.
- Vollmar, A., Macklin, J. A. and Ford, L., Natural history specimen digitization: challenges and concerns. Biodiver. Inform., 2010, 7(2), 93–112.
- Otegui, J., Arino, A. H., Encinas, M. A. and Pando, F., Assessing the primary data hosted by the Spanish node of the Global Biodiversity Information Facility (GBIF). PLOS ONE, 2013, 8(1), e55144.
- Williams, J. N., Seo, C., Thorne, J., Nelson, J. K., Erwin, S., O’Brien, J. M. and Schwartz, M. W., Using species distribution models to predict new occurrences for rare plants Divers. Distrib., 2009, 15(4), 565–576.
- Kumar, S. and Stohlgren, T. J., Maxent modeling for predicting suitable habitat for threatened and endangered tree Canacomyrica monticola in New Caledonia. J. Ecol. Nat. Environ., 2009, 1(4), 094–098.
- Menon, S., Choudhury, B. I., Khan, M. L. and Peterson, A. T., Ecological niche modeling and local knowledge predict new populations of Gymnocladus assamicus a critically endangered tree species. Endanger. Species Res., 2010, 11, 175–181.
- Adhikari, D., Barik, S. K. and Upadhaya, K., Habitat distribution modelling for reintroduction of Ilex khasiana Purk., a critically endangered tree species of northeastern India. Ecol. Eng., 2012, 40, 37–43.
- Elith, J. and Leathwick, J. R., Species distribution models: ecological explanation and prediction across space and time. Annu. Rev. Ecol., Evol., Syst., 2009, 40(1), 677.
- Peterson, A. T., Soberón, J. and Sánchez-Cordero, V., Conservatism of ecological niches in evolutionary time. Science, 1999, 285(5431), 1265–1267.
- Balakrishnan, N. P., Flora of Jowai, Meghalaya Vol. I and II, Botanical Survey of India, Howrah, 1981–1983.
- Deb, D. B., The Flora of Tripura State, Today and Tomorrows’ Printers and Publishers, New Delhi, 1981, vol. I.
- Hajra, P. K., Verma, D. M. and Giri, G. S., Materials for the Flora of Arunachal Pradesh, Botanical Survey of India, 1996.
- Haridasan, K. and Rao, R. R., Forest Flora of Meghalaya, Dehradun, 1985.
- Hooker, J. D., JD 1872–1897. The Flora of British India, Bishen Singh Mahendra Pal Singh, Dehra Dun, India, 1973, vols 1–7.
- Nayar, M. P. and Sastry, A. R. K., Red Data Book of Indian Plants, Botanical Survey of India, Calcutta, 1987, vol. I.
- Nayar, M. P. and Sastry, A. R. K., Red Data Book of Indian Plants, Botanical Survey of India, Calcutta, 1988, vol. II.
- Nayar, M. P., Sastry, A. R. K., Red Data Book of Indian Plants, Botanical Survey of India, Calcutta, 1990, vol. III.
- Jain, S. K. and Rao, R. R., Assessment of threatened plants of India. In Seminar on Threatened Plants of India (1981: Dehra Dun), Botanical Survey of India, 1983.
- Joseph, J., Flora of Nongpoh and vicinity: east Khasi Hills District, Meghalaya. Meghalaya Forest Department, Meghalaya, iv, 376, 86.
- Kanjilal, V. N., Kanjilal, P. C., Das, A., De, R. N. and Bor, N. L., Flora of Assam, 5 Vols, Government Press, Shillong, 1934–1940.
- Kataki, S. K.. Orchids of Meghalaya, Forest Department, Government of Meghalaya, Shillong, 1986, p. 258.
- Peterson, A. T., and Nakazawa, Y., Environmental datasets matter in ecological niche modelling: an example with Solenopsis invicta and Solenopsis richteri. Global Ecol. Biogeogr., 2008, 17(1), 135–144.
- Dilts, T. E., Weisberg, P. J., Dencker, C. M. and Chambers, J. C., Functionally relevant climate variables for arid lands: a climatic water deficit approach for modelling desert shrub distributions. J. Biogeogr., 2015, 42(10), 1986–1997.
- Jetz, W., Cavender-Bares, J., Pavlick, R., Schimel, D., Davis, F. W., Asner, G. P. and Schaepman, M. E., Monitoring plant functional diversity from space. Nature Plants, 2016, 2, 16024.
- Trabucco, A., and Zomer, R. J., Global Aridity Index (GlobalAridity) and Global Potential Evapo-Transpiration (Global-PET) Geospatial Database. CGIAR Consortium for Spatial Information. published online, available from the CGIAR-CSI GeoPortal at: http://www.cgiar-csi.org/data/global-aridity-and-pet-database
- Hirosawa, Y., Marsh, S. E. and Kliman, D. H., Application of standardized principal component analysis to land-cover characterization using multitemporal AVHRR data. Remote Sensing Environ., 1996, 58(3), 267–281.
- Giovanelli, J. G., de Siqueira, M. F., Haddad, C. F. and Alexandrino, J., Modeling a spatially restricted distribution in the Neotropics: how the size of calibration area affects the performance of five presence-only methods. Ecol. Model., 2010, 221(2), 215–224.
- Barve, N. et al., The crucial role of the accessible area in ecological niche modeling and species distribution modeling. Ecol. Model., 2011, 222(11), 1810–1819.
- Phillips, S. J., Anderson, R. P. and Schapire, R. E., Maximum entropy modeling of species geographic distributions. Ecol. Model., 2006, 190(3), 231–259.
- Merow, C., Smith, M. J. and Silander, J. A., A practical guide to MaxEnt for modeling species’ distributions: what it does, and why inputs and settings matter. Ecography, 2013, 36(10), 1058–1069.
- Elith, J., Phillips, S. J., Hastie, T., Dudík, M., Chee, Y. E. and Yates, C. J., A statistical explanation of MaxEnt for ecologists. Divers. Distrib., 2011, 17(1), 43–57.
- Thuiller, W., Richardson, D. M., Pyšek, P., Midgley, G. F., Hughes, G. O. and Rouget, M., Niche‐based modelling as a tool for predicting the risk of alien plant invasions at a global scale. Global Change Biol., 2005, 11(12), 2234–2250.
- Lobo, J. M., Jiménez‐Valverde, A. and Real, R., AUC: a misleading measure of the performance of predictive distribution models. Global Ecol. Biogeogr., 2008, 17(2), 145–151.
- Peterson, A. T., Papeş, M. and Soberón, J., Rethinking receiver operating characteristic analysis applications in ecological niche modeling. Ecol. Model., 2008, 213(1), 63–72.
- IUCN Red List Categories and Criteria: Version 3.1, ICUN, Gland, Switzerland, UK, 2012, 2nd edn, pp. iv + 32.
- Moat, J.. Conservation assessment tools extension for ArcView 3.x, version 1.2. GIS Unit, Royal Botanic Gardens, Kew, 2007; available at: http://www.rbgkew.org.uk/gis/cats
- Adhikari, D., Tiwary, R. and Barik, S. K., Modelling hotspots for invasive alien plants in India. PLOS ONE, 2015, 10(7), e0134665.
- Improving Macropropagation and Seed Germination Techniques for Conservation of Threatened Species
Abstract Views :271 |
PDF Views:99
Authors
P. C. Panda
1,
S. Kumar
2,
J. P. Singh
2,
P. Gajurel
3,
P. K. Kamila
1,
S. Kashung
3,
R. N. Kulloli
2,
P. P. Singh
4,
D. Adhikari
4,
S. K. Barik
4
Affiliations
1 Taxonomy and Conservation Division, Regional Plant Resource Centre, Bhubaneswar 751 015, IN
2 Central Arid Zone Research Institute, Light Industrial Area, Jodhpur 342 003, IN
3 Department of Forestry, North Eastern Regional Institute of Science and Technology, Nirjuli 791 109, IN
4 Department of Botany, North-Eastern Hill University, Shillong 793 022, IN
1 Taxonomy and Conservation Division, Regional Plant Resource Centre, Bhubaneswar 751 015, IN
2 Central Arid Zone Research Institute, Light Industrial Area, Jodhpur 342 003, IN
3 Department of Forestry, North Eastern Regional Institute of Science and Technology, Nirjuli 791 109, IN
4 Department of Botany, North-Eastern Hill University, Shillong 793 022, IN
Source
Current Science, Vol 114, No 03 (2018), Pagination: 562-566Abstract
Populations of threatened plants are declining rapidly in natural habitats due to various anthropogenic activities. Reinforcement of the dwindling populations through reintroduction is a promising aspect for conservation of threatened plants. However, due to lack of standardized propagation methods of such plants, mass production of planting materials has become a challenge, thereby constraining the replenishment process. Identification of factors constraining the seed germination of threatened plants and addressing it effectively, are among the most cost-effective strategies for large-scale multiplication and subsequent conservation of the threatened species. Similarly, conventional low-cost vegetative propagation techniques such as grafting, air layering, and regenerating plantlets from ischolar_main-suckers, apical meristems, and stem cuttings often prove more successful for multiplication than relatively costly micropropagation techniques. In this article, we present a few case studies on low-cost mass propagation techniques of threatened plant species of India through seed, stem/apical shoot cutting and airlayering, that helped in the restoration of the species.Keywords
Conservation, Seed Germination, Threatened Plants, Vegetative Propagation.References
- Ricketts, T. H. et al., Pinpointing and preventing imminent extinctions. Proc. Natl. Acad. Sci. USA, 2015, 102, 18497–18501.
- Menges, E. S., Seed germination percentage increases with population size in a fragmented Prairie species. Conserv. Biol., 1991, 5, 158–164.
- Pavlik, B. M., Defining and measuring success. In Restoring Diversity: Strategies for the Reintroduction of Endangered Plants (eds Falk, D. A., Millar, C. I. and Olwell, M.), Island Press, Washington, DC, USA, 1996, pp.127–155.
- Van Groenendael, J. M., Ouborg, N. J. and Hendriks, R. J. J., Criteria for the introduction of plant species. Acta Bot. Neerl., 1998, 47, 3–13.
- Sarrazin, F. and Barbault, R., Reintroduction: challenges and lessons for basic ecology. Trends Ecol. Evol., 1996, 11, 474–478.
- Frankham, R., Ballou, J. D. and Briscoe, D. A., Introduction to Conservation Genetics, Cambridge University Press, Cambridge, 2010, 2nd edn.
- Charlesworth, D. and Charlesworth, B., The genetic basis of inbreeding depression. Gene. Res., 1999, 74, 329–340.
- Carr, D. and Dudash, M., Recent approaches into the genetic basis of inbreeding depression in plants. Philos. Trans. R. Soc. Ser. B, 2003, 358, 1071–1084.
- Van Dyke, F., Conservation Biology: Foundations, Concepts, Applications, Springer Science & Business Media, Dordrecht, The Netherlands, 2008.
- Yadav, S. R. and Kamble, M. Y., Threatened Ceropegias of the Western Ghats and strategies for their conservations. In Special Habitat as and Threatened Plants of India (ed. Rawal, G. S.), In ENVIS: Bulletin Wildlife and Protected Area, Wildlife Institute of India, Dehradun, 2008, vol. 11, p. 239.
- Chavan, S. H., Kamble, A. P., Phate, P. V. and Phate, P. V., First report of Ceropegia bulbosa Roxb. From coastal habitat of Kulaba Fort, Alibag, Maharashtra. Indian J. Plant Sci., 2014, ISSN: 2319–3824 (on-line); http://www.cibtech.org/jps.htm
- Adhikari, D., Barik, S. K. and Upadhaya, K., Habitat distribution modelling for reintroduction of Ilex khasiana Purk, a critically endangered tree species of northeastern India. Ecol. Eng., 2012, 40, 37–43.
- Upadhaya, K., Barik, S. K., Adhikari, D., Baishya, R. and Lakadong, N. J., Regeneration ecology and population status of a critically endangered and endemic tree species (Ilex khasiana Purk.) in north-eastern India. J. For. Res., 2009, 20(3), 223–228.
- Gajurel, P. R., Rethy, P. and Kumar, Y., Piper haridasanii: A new species of Piper from Arunachal Pradesh North East, India. J. Econ. Taxon. Bot., 2001, 25(2), 293–296.
- Gupta, V., Plants used in folklore medicine by Bangnis of East Kameng, Arunachal Pradesh. Nat. Prod. Radiance, 2005, 5(1), 52–59.
- Classifying Threatened Species of India Using IUCN Criteria
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PDF Views:72
Authors
Affiliations
1 Department of Botany, North-Eastern Hill University, Shillong 793 022, IN
2 Sri Krishnadevaraya University, Anantapur 515 003, IN
3 Foundation for Revitalisation of Local Health Traditions, Bengaluru 560 064, IN
1 Department of Botany, North-Eastern Hill University, Shillong 793 022, IN
2 Sri Krishnadevaraya University, Anantapur 515 003, IN
3 Foundation for Revitalisation of Local Health Traditions, Bengaluru 560 064, IN
Source
Current Science, Vol 114, No 03 (2018), Pagination: 588-595Abstract
Assigning threat status to a species is essential for prioritization of species under any conservation programme, and therefore, a pre-requisite for species conservation. In India, due to inadequate data, threat status has not been assigned to several plant species, although their population sizes are quite small and they are considered important from conservation point of view. Besides, there is a need for reassessment of threat status assigned by various agencies using updated data on population size, number of mature individuals, area of occupancy, and geographic extent of occurrence. This is crucial as the natural habitats as well as populations of such species are being affected by anthropogenic activities, exotic species invasion, and climate change. In the present study, we assessed the threat status of 59 selected plant species following the IUCN criteria (ver. 3.1). The species were selected after consultation with various experts throughout the country. Field surveys were carried out in various ecoregions of India to locate the species. Population size and number of mature individuals were enumerated following quadrat/plot-based sampling. The exogenous and endogenous factors leading to decline in population and rarity were identified based on field observations as well as laboratorybased seed viability and germination tests. Based on these studies, 20 species were classified under critically endangered category, 21 under endangered, 11 under vulnerable, five under near threatened, and one species each under data deficient and least concern category. Threat assessment for 41 species was done based on number of locations and geographical range of occurrence, while for 18 species it was done based on restricted population and number of mature individuals. Over-exploitation and habitat degradation or loss were the dominant exogenous factors leading to decline in natural populations of the selected species. The major endogenous factors that lead to population decline and species rarity were low seed viability and germination, long dormancy period, less seedling recruitment, low population size, habitat specificity and narrow niche leading to restricted distribution.Keywords
Area of Occupancy, Extent of Occurrence, IUCN Classification, Population Size, Threatened Plants.References
- Hansen, M. C. et al., High-resolution global maps of 21st century forest cover change. Science, 2013, 342, 850–853; http://earthenginepartners.appspot.com/science-2013-global-forest
- Brummitt, N. and Bachman, S., Plants under pressure a global assessment. The first report of the IUCN Sampled Red List Index for Plants, Royal Botanic Gardens, Kew, UK, 2010.
- Ehrlich, P. R., Annett, H. and Ehrlich, A. H., Extinction: The Causes and Consequences of the Disappearance of Species, Ballantine Books, New York, 1983.
- Barnosky, A. D., Matzke, N., Tomiya, S., Wogan, G. O., Swartz, B., Quental, T. B. and Mersey, B., Has the Earth’s sixth mass extinction already arrived? Nature, 2011, 471(7336), 51–57.
- Akcakaya, H. R., Ferson, S., Burgman, M. A., Keith, D. A., Mace, G. M. and Todd, C. R., Making consistent IUCN classifications under uncertainty. Conserv. Biol., 2000, 14(4), 1001–1013.
- IUCN Red List Categories and Criteria: version 3.1, IUCN, Gland, Switzerland, 2012, 2nd edn, pp. iv + 32
- Moat, J., Conservation assessment tools extension for ArcView 3.x, version 1.2. GIS Unit, Royal Botanic Gardens, Kew, 2007; http://www.rbgkew.org.uk/gis/cats
- IUCN Red List Categories and Criteria: version 3.1, IUCN Species Survival Commission, IUCN, Gland, Switzerland, 2001.
- Evaluation of a Crop Growth Model for Sweet Potato Over a Set of Agro-Climatic Conditions in India
Abstract Views :283 |
PDF Views:89
Authors
V. S. Santhosh Mithra
1,
Raji Pushpalatha
1,
S. Sunitha
1,
James George
1,
P. P. Singh
2,
R. S. Singh
2,
J. Tarafdar
3,
Surajit Mitra
3,
Chandra Deo
4,
Sunil Pareek
5,
B. K. M. Lakshmi
6,
R. Shiny
1,
G. Byju
1
Affiliations
1 ICAR-Central Tuber Crops Research Institute, Thiruvananthapuram 695 017, IN
2 Rajendra Agricultural University, Pusa, Samasthipur 848 125, IN
3 Bidhan Chandra Krishi Vishwavidyalaya (BCKV), Kalyani 741 252, IN
4 Narendra Deva University of Agriculture and Technology, Faizabad 224 229, IN
5 Maharana Pratap University of Agriculture and Technology, Udaipur 313 001, IN
6 Shri Konda Laxman Telangana State Horticultural University, Rajendra Nagar 500 030, IN
1 ICAR-Central Tuber Crops Research Institute, Thiruvananthapuram 695 017, IN
2 Rajendra Agricultural University, Pusa, Samasthipur 848 125, IN
3 Bidhan Chandra Krishi Vishwavidyalaya (BCKV), Kalyani 741 252, IN
4 Narendra Deva University of Agriculture and Technology, Faizabad 224 229, IN
5 Maharana Pratap University of Agriculture and Technology, Udaipur 313 001, IN
6 Shri Konda Laxman Telangana State Horticultural University, Rajendra Nagar 500 030, IN
Source
Current Science, Vol 117, No 1 (2019), Pagination: 110-113Abstract
A study was conducted to evaluate the wider applicability of sweet potato growth model, ‘SPOTCOMS’ for simulating the phenology and yield over a set of agroclimatic conditions in India. The model simulated the phenology of the crop as a function of growing degree days. The genetic coefficients required for the model were estimated from the field experiments conducted with sweet potato variety, Sree Bhadra and other local varieties at the study locations. The model simulated the yield of the sweet potato well and the statistical indices calculated between the simulated and observed yields stated the reliability of the model simulations. The agreement index (D-index) for Sree Bhadra ranged from 0.55 to 0.99, and the D-index for local varieties ranged from 0.51 to 1.00. The calculated values of normalized objective function ranged from 0.01 to 0.10 for Sree Bhadra and 0.00 to 0.22 for other local varieties, and indicated better agreement of simulated and observed yields. The normalized ischolar_main mean square error ranged from 0.80% to 10.40% for Sree Bhadra and 0.00% to 22.44% for other varieties, and these results suggested the wider applicability of the model with excellent to good simulations. The model also simulated dry matter distribution in tubers pertaining to different stresses such as water, nitrogen and potassium. The study revealed that the simulation model ‘SPOTCOMS’ can be used for simulating the yield as well as to manage the stresses during the crop growth period and to optimize best management practices for the crop cultivation irrespective of the agroclimatic conditions.Keywords
Crop Phenology, Calibration, Growing Degree Days, SPOTCOMS, Simulation.References
- Muktar, A. A., Tanimu, B., Anurah, U. L. and Babaji, B. A., Evaluation of the agronomic characters of sweet potato varieties grown at varying levels of organic and inorganic fertilizer. World J. Agric. Sci., 2010, 6(4), 370–373.
- Ustimenko, C. G. V. and Bakumovsky, Plants Growing in Tropics and Subtropics, Mir Publishers, 1982.
- Villareal, R. L., Sweet potato in tropics:progress and problems. In Proceedings of the 1st International Symposium on Sweet Potato (eds Villereal, R. L. and Griggs, T. D.), AVRDC, Taiwan, China, 1982, pp. 3–15.
- Edison, S., Vinayaka Hegde, Makeshkumar, T., Srinivas, T., Suja, G. and Padmaja, G., The sweet potato in the Indian Sub-Continent. In The Sweet Potato, Springer, Netherlands, 2009, pp. 391–414.
- Ritchie, J. T., Specifications of the ideal model for predicting in crop yields. In Climate Risk in Crop Production: Models and Management for the Semiarid Tropics and Subtropics (eds Muchow, R. C. and Bellamy, J. A.), CAB International, Wallingford, 1989, pp. 97–122.
- Santhosh Mithra, V. S. and Somasundharam, K., A model to simulate sweet potato growth. World Appl. Sci. J., 2008, 4(4), 568–577.
- Somasundharam, K., Santhosh Mitra and Madhuram, V. S., A simulation model for sweet potato growth. World J. Agric. Sci., 2008, 4(2), 241–254.
- Jones, J. W. et al., The DSSAT cropping system model. Eur. J. Agron., 2003, 18, 235–265.
- Penning de Vries, F. W. T., Jansen, D. M., Tenberge, H. F. N. and Bakema, A., Simulation of ecpohysiological process of growth in several annual crops. IRRILosBunosPudoc, Wageningen, 1989.
- Allen, R. G., Pereira, L. S. and Smith, M., Crop evapotranspiration – guidelines for computing crop water requirements. FAO irrigation and drainage paper, 1998, p. 56.
- Biswas, T. D. and Mukherjee, S. K., Soil fertility and fertilizer use. In Textbook of Soil Science, Tata McGraw Hill, 1994, pp. 22–285.
- Willmott, C. J. et al., Statistic for the evaluation and comparison of the models. J. Geophys. Res., 1985, 90, 8995–9005.
- Ahuja, L. R., Ma, L. and Howell, T. A., Agricultural system models. In Field Research and Technology Transfer, CRC Press, New York, USA, 2002.
- Jamieson, P. D., Porter, J. R. and Wilson, D. R., A test of computer simulation model ARC wheat on wheat crops grown in New Zealand. Field Crops Res., 1991, 27, 337–350.
- Loague, K. and Green, R. E., Statistical and graphical methods for evaluating solute transport models: overview and application. J. Contam. Hydrol., 1991, 7, 51–73.