Abstract
Predicting the potential distribution of medicinal plants in response to climate change is essential for their conservation and management. Contributing to the management program, this study aimed to predict the distribution of two threatened medicinal plants, Fritillaria cirrhosa and Lilium nepalense. The location of focal species gathered from herbarium specimen housed in different herbaria and online databases were geo-referenced and checked for spatial autocorrelation. The predictive environmental variables were selected, and MaxEnt software was used to model the current and future distributions of focal species. Four Representative Concentration Pathway (RCP) trajectories of the BCC-CSM1.1 model were used as the future (2050) projection layer. The MaxEnt modelling delineated the potential distribution of F. cirrhosa and L. nepalense. The current suitability is projected towards Central and Eastern Hilly/Mountainous regions. Both species gain maximum suitability in RCP 4.5 which decline towards other trajectories for L. nepalense. Overall, both the focal species shift towards the north-west, losing their potential habitat in hilly and lower mountainous regions by 2050 across all trajectories. Our results highlight the impact of future climate change on two threatened and valuable species. The results can be further useful to initiate farming of these medicinally and economically important species based on climatically suitable zone and for designing a germplasm conservation strategy.
This is a preview of subscription content, access via your institution.
References
Cardillo M, Mace GM, Gittleman JL, et al. (2008) The predictability of extinction: biological and external correlates of decline in mammals. Proceedings of the Royal Society B: Biological Sciences 275(1641): 1441–1448. DOI: 10.1098/rspb.2008.0179
Chetri M, Chapagain NR, Neupane VD (2006) Flowers of Mustang: a pictorial guidebook. National Trust for Nature Conservation, Annapurna Conservation Area Project, Upper Mustang Biodiversity Conservation project, Kathmandu, Nepal.
CSMD (Climate System Modeling Division) (2005) An introduction to the first general operational climate model at the National Climate Center. Advances in Climate System Modeling, 1, National Climate Center, China Meteorological Administration. p 14.
Davies TJ, Purvis A, Gittleman JL (2009) Quaternary climate change and the geographic ranges of mammals. The American Naturalist 174(3): 297–307. DOI: 10.1086/603614
Elith J, Phillips SJ, Hastie T, et al. (2011) A statistical explanation of MaxEnt for ecologist. Diversity and Distributions 17: 43–57. DOI: 10.1111/j.1472-4642.2010.00725.x
Fielding AH, Bell JF (1997) A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservation 24(1): 38–49. DOI: 10.1017/S0376892997000088
Franklin J (2010) Mapping species distributions-spatial inference and prediction, ecology. Biodiversity and conservation, Cambridge University Press, Cambridge.
Ghimire SK, Sapkota IB, Oli BR, et al. (2008) Non-timber forest products of Nepal Himalaya: Database of Some Important Species Found in the Mountain Protected Areas and Surrounding Regions. WWF Nepal, Kathmandu, Nepal
Guisan A, Thuiller W (2005) Predicting species distribution: offering more than simple habitat models. Ecology Letters 8(9): 993–1009. DOI: 10.1111/j.1461-0248.2005.00792.x
Hijman RJ, Cameron SE, Parra JL, et al. (2005) Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25(15): 1965–1978. DOI:10.1002/joc.1276
Hirzel AH, Posse B, Oggier P, et al. (2004) Ecological requirements of reintroduced species and the implications for release policy: The case of the bearded vulture. Journal of Applied Ecology 41(6): 1103–1116. DOI: 10.1111/j.0021-8901. 2004.00980.x
IPCC (2014) Summary for Policymakers, In: Field CB et al. (eds.), Climate Change: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA.
IUCN (2001) The IUCN Red List of threatened species: Categories and criteria (version 3.1). Kathmandu, Nepal. (Available online at: http://www.iucnredlist.org/info.categories criteria2001, accessed on 2015-11-04)
Joshi B, Pant SC (2012) Ethnobotanical study of some common plants used among the tribal communities of Kashipur, Uttarakhand. Indian Journal of Natural Products and Resources 3(2): 262–266.
Joshi KK, Joshi SD (2001) Genetic heritage of medicinal and aromatic plants of Nepal Himalayas. Buddha Academic Publishers and Distributors Pvt. Ltd., Kathmandu, Nepal.
Kumar P (2012) Assessment of impact of climate change on Rhododendrons in Sikkim Himalayas using Maxent modelling: limitations and challenges. Biodiversity and Conservation 21(5): 1251–1266. DOI: 10.1007/s10531-012-0279-1
Kumar S, Stohlgren TJ (2009) MaxEnt modelling for predicting suitable habitat for threatened and endangered tree Canacomyrica monticola in New Caledonia. Journal of Ecology and Natural Environment 1(4): 94–98.
Landis JR, Koch GG (1997) The measurement of observer for categorical data. Biometrics 33(1): 159–174. DOI: 10.2307/2529310
Lenoir J, Svenning JC (2015) Climate-related range shifts-a global multidimension synthesis and new research directions. Ecography 38(1): 15–28. DOI: 10.1111/ecog.00967
Liu CR, Berry PM, Dawson TP, et al. (2005) Selecting thresholds of occurrence in the prediction of species distributions. Ecography 28(3): 385–393. DOI: 10.1111/j.0906-7590.2005.03957.x
Lozier JD, Aniello P, Hickerson MJ (2009) Predicting the distribution of Sasquatch in western North America: anything goes with ecological niche modelling. Journal of Biogeography 36(9): 1623–1627. DOI:10.1111/j.1365-2699.2009.02152.x
Martinez-Meyer E, Peterson AT, Servin JI, et al. (2006) Ecological niche modelling and prioritizing areas for species reintroductions. Oryx 40: 411–418. DOI: 10.1017/S0030605306001360
MaxEnt software Version 3.3.3k. AT and T Research. (Available online at: http://www.cs.princeton.edu/~schapire/maxent/tutorial/tutorial.doc, accessed on 12th July, 2015)
Olsen CS, Helles F (1997) Medicinal plants, markets and margins in the Nepal Himalaya: Trouble in paradise. Mountain Research and Development 17(14): 363–374. DOI: 10.2307/3674025
Pearce J, Lindenmayer D (1998) Bioclimatic analysis to enhance reintroduction biology of the endangered helmeted honeyeater (Lichenostomus melanops cassidix) in southeastern Australia. Restoration ecology 6(3): 238–243. DOI: 10.1046/j.1526-100X.1998.00636.x
Pearce J, Ferrier S (2000) Evaluating the predictive performance of habitat models developed using logistic regression. Ecological Modelling 133(3): 225–245. DOI: 10.1016/S0304-3800(00)00322-7
Phillips B, Chipperfield JD, Kearney MR (2008) The toad ahead: challenges of modelling the range and spread of an invasive species. Wildlife Research 35(3): 222–234. DOI: 10.1071/WR07101
Phillips SJ, Anderson RP, Schapire RE (2006) Maximum entropy modelling of species geographic distributions. Ecological Modelling 190(3–4): 231–259. DOI: 10.1016/j.ecolmodel.2005. 03.026
Profirio LL, Harris RMB, Lefroy EC, et al. (2014) Improving the Use of Species Distribution Models in Conservation Planning and Management under Climate Change. PLoS One 9(11): e113749. DOI: 10.1371/journal.pone.0113749
Purvis A, Gittleman JL, Cowlishaw G, et al. (2000) Predicting extinction risk in declining species. Proceedings of the Royal Society B: Biological Sciences 267(1456): 1947–1952. DOI: 10.1098/rspb.2000.1234
Rana HK (2014a) Family liliaceae in Nepal: taxonomy, distribution pattern and species richness. M.Sc. dissertation, Central Department of Botany, Institute of Science and Technology, Tribhuvan University, Kathmandu, Nepal.
Rana SK (2014b) Species distribution and ecological niche modelling of Alnus species in Nepal. M.Sc. dissertation, Central Department of Botany, Institute of Science and Technology, Tribhuvan University, Kathmandu, Nepal.
Rana SK, Oli PS, Rana HK (2015) Traditional botanical knowledge (TBK) on the use of medicinal plants in Sikles area, Nepal. Asian Journal of Plant Science and Research 5(11): 8–15.
Rajbhandary S, Ranjitkar S (2006) Herbal drugs and pharmacognosy-Monographs on commercially important medicinal plants of Nepal. Ethnobotanical Society of Nepal, Kathmandu, Nepal.
Ranjitkar S, Xu J, Shrestha KK, et al. (2014a) Ensemble forecast of climate suitability for the trans-Himalayan Nyctaginaceae species. Ecological Modelling 282: 18–24. DOI: 10.1016/j.ecolmodel.2014.03.003
Ranjitkar S, Kindt R, Sujakhu NM, et al. (2014b) Separation of the bioclimatic spaces of Himalayan tree rhododendron species predicted by ensemble suitability models. Global Ecology and Conservation 1: 2–12.
Ranjitkar S, Sujakhu NM, Lu Y, et al. (2016) Climate modelling for agroforestry species selection in Yunnan Province, China. Environmental Modelling and Software 75: 263–272. DOI: 10.1016/j.envsoft.2015.10.027
Rawat RBS, Uniyal RC (2003) National medicinal plants board, Committed for overall development of the sector. Agrobios 1: 12–17.
Salick J, Zhendong F, Byg A (2009) Eastern Himalayan alpineplant ecology, Tibetan ethnobotany, and climate change. Global Environmental Change 19: 147–155. DOI: 10.1016/j.gloenvcha.2009.01.008
Sanchez-Cordero V, Cirelli V, Munguíal M, et al. (2005) Place prioritization for biodiversity representation using species’ ecological niche modeling. Biodiversity Informatics 2: 11–23.DOI:10.17161/bi.v2i0.9
Shrestha UB, Bawa KS (2014) Harvesters’ perceptions of population status and conservation of Chinese caterpillar fungus in the Dolpa region of Nepal. Regional Environmental Change 15(8): 1731–1741. DOI: 10.1007/s10113-014-0732-7
Sinclair SJ, White MD, Newell GR (2010) How useful are species distribution models for managing biodiversity under future climates? Ecology and Society 15(1): 8.
Van der Putten WH, Macel M, Visser ME (2010) Predicting species distribution and abundance responses to climate change: why it is essential to include biotic interactions across trophic levels. Philosophical transactions of the Royal Society of London. Series B: Biological sciences 365(1549): 2025–2034. DOI: 10.1098/rstb.2010.0037
Van Vuuren DP, den Elzen MGJ, Lucas PL, et al. (2007) Stabilizing greenhouse gas concentrations at low levels: an assessment of reduction strategies and costs. Climatic Change 81(2): 119–159. DOI: 10.1007/s10584-006-9172-9
Wang JJ, Cao B, Bai CK, et al. (2014) Potential distribution prediction and suitability evaluation of Fritillaria cirrhosa D. Don based on MaxEnt modeling and GIS. Bulletin of Botanical Research 34(5): 642–649. DOI: 10.7525/j.issn.1673-5102.2014.05.009
Weyant J, Azar C, Kainuma M, et al. (2009) Report of 2.6 Versus 2.9 Watts/m2 RCPP Evaluation Panel. Geneva, Switzerland: IPCC Secretariat.
Woodward FI (1987) Climate and plant distribution. Cambridge University Press. p 174.
Chen XQ, Liang SY, Xu J, et al. (2000) Liliaceae. In: In Wu ZY and Raven PH (eds.). Flora of China, vol. 24. Missouri Botanical Garden Press, St. Louis, USA, and Science Press, Beijing, China. pp 73–263.
Yeum HS, Lee YC, Kim SH, et al. (2007) Fritillaria cirrhosa, Anemarrhena asphodeloides, Lee-Mo-Tang and cyclosporine a inhibit ovalbumin-induced eosinophil accumulation and Th2-mediated bronchial hyperresponsiveness in a murine model of asthma. Basic & Clinical Pharmacology & Toxicology 100(3): 205–213. DOI: 10.1111/j.1742-7843.2007.00043.x
Acknowledgements
We would like to acknowledge Cornell Nepal Study Program for the partial financial supports to carry out field work. Thanks goes to Alexander Robert O’Neill for English correction in our manuscripts. We are indebted to all the faculty members of Central Department of Botany, TU, Nepal as well as KATH and TUCH for facilitating herbarium specimens. Sailesh RANJITKAR is supported from the CGIAR research programs on ‘Forests, Trees and Agroforestry’ (CRP6.2) and the National Natural Science Foundation of China (31270524).
Author information
Affiliations
Corresponding authors
Additional information
http://orcid.org/0000-0001-7812-9267
http://orcid.org/0000-0002-9666-2337
http://orcid.org/0000-0002-3845-4468
http://orcid.org/0000-0002-6041-1325
http://orcid.org/0000-0002-4741-3975
Author(s) contributed equally
Electronic Supplementary Materials: Supplementary materials (Appendixes 1-4) are available in the online version of this article at http://dx.doi.org/10.1007-s11629-015-3822-1
Electronic supplementary material
Rights and permissions
About this article
Cite this article
Rana, S.K., Rana, H.K., Ghimire, S.K. et al. Predicting the impact of climate change on the distribution of two threatened Himalayan medicinal plants of Liliaceae in Nepal. J. Mt. Sci. 14, 558–570 (2017). https://doi.org/10.1007/s11629-015-3822-1
Received:
Revised:
Accepted:
Published:
Issue Date:
Keywords
- Commercial exploitation
- Conservation
- Lily
- Fritillaria cirrhosa
- Lilium nepalense
- MaxEnt modelling
- Species distribution