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Inventory and Characterization of New Populations through Ecological Niche Modelling Improve Threat Assessment


Affiliations
1 Department of Botany, North-Eastern Hill University, Shillong 793 022, India
2 Department of Botany, University of Kashmir, Srinagar 190 006, India
3 Department of Botany, Tripura University, Suryamaninagar, Agartala 799 022, India
4 G.B. Pant National Institute of Himalayan Environment and Sustainable Development, Himachal Unit, Mohal-Kullu 175 101, India
5 Department of Botany, Sikkim University, Gangtok 737 102, India
6 Department of Basic Science and Social Science, School of Technology, North-Eastern Hill University, Shillong 793 022, India
 

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.
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  • Inventory and Characterization of New Populations through Ecological Niche Modelling Improve Threat Assessment

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Authors

D. Adhikari
Department of Botany, North-Eastern Hill University, Shillong 793 022, India
Z. Reshi
Department of Botany, University of Kashmir, Srinagar 190 006, India
B. K. Datta
Department of Botany, Tripura University, Suryamaninagar, Agartala 799 022, India
S. S. Samant
G.B. Pant National Institute of Himalayan Environment and Sustainable Development, Himachal Unit, Mohal-Kullu 175 101, India
A. Chettri
Department of Botany, Sikkim University, Gangtok 737 102, India
K. Upadhaya
Department of Basic Science and Social Science, School of Technology, North-Eastern Hill University, Shillong 793 022, India
M. A. Shah
Department of Botany, University of Kashmir, Srinagar 190 006, India
P. P. Singh
Department of Botany, North-Eastern Hill University, Shillong 793 022, India
R. Tiwary
Department of Botany, North-Eastern Hill University, Shillong 793 022, India
K. Majumdar
Department of Botany, Tripura University, Suryamaninagar, Agartala 799 022, India
A. Pradhan
Department of Botany, Sikkim University, Gangtok 737 102, India
M. L. Thakur
G.B. Pant National Institute of Himalayan Environment and Sustainable Development, Himachal Unit, Mohal-Kullu 175 101, India
N. Salam
Department of Botany, University of Kashmir, Srinagar 190 006, India
Z. Zahoor
Department of Botany, University of Kashmir, Srinagar 190 006, India
S. H. Mir
Department of Botany, University of Kashmir, Srinagar 190 006, India
Z. A. Kaloo
Department of Botany, University of Kashmir, Srinagar 190 006, India
S. K. Barik
Department of Botany, North-Eastern Hill University, Shillong 793 022, India

Abstract


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





DOI: https://doi.org/10.18520/cs%2Fv114%2Fi03%2F519-531