Skip to main content

Advertisement

SpringerLink
Log in

Phytosociological and niche distribution study of Paris polyphylla smith, an important medicinal herb of Indian Himalayan region

  • Research Article
  • Published:
Tropical Ecology Aims and scope Submit manuscript

Abstract

The prediction of species distribution is emerging as an important tool for conservation and rehabilitation planning of economically important plant species including medicinal and aromatic plants. Paris polyphylla, an economically and high valued medicinal plant of Indian Himalayan Region (IHR) is reported to lose its habitat area due to over-exploitation. In this study, attempts were made to understand vegetation pattern and find the potential distribution of Paris polyphylla, using MaxEnt in Pindar Valley (2000–4000 m ASL), Bageshwar district of Uttarakhand state, India. MaxEnt is a machine learning data mining technique that estimates a species distribution by finding the distribution of maximum entropy, based on existing knowledge. Phytosociological studies revealed the varying density of target species ranging from 0.50 ind/m2 (P1; 2000 m asl) to 2.00 ind/m2 (P6; 2500 m asl). Among the different geographical provinces of Uttarakhand, MaxEnt predicted wider potential distribution of P. polyphylla in temperate forest with an overall estimated area of 790.85 km2 as suitable. It was found that Precipitation, Elevation and Vegetation type were the most important variables for predicting the habitat suitability. Dwali (ca. 2500 m ASL) site was predicted as a potential distribution area of P. polyphylla with ground-based validation and further suggested this area as a potential reintroduction site. The results of this study can be used to plan protection and re-introduction of P. polyphylla in the region. MaxEnt approach is thus a very promising tool in species conservation planning and in predicting the potential distribution of other high valued medicinal plants of IHR.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • Adhikari D, Barik SK, Upadhaya K (2012) Habitat distribution modelling for reintroduction of Ilex khasiana Purk., a critically endangered tree species of northeastern India. Ecol Eng 40:37–43

    Article  Google Scholar 

  • Allen SK (2016) Climate vulnerability, hazards and risk. An Integrated Pilot Study in Kullu District, Himachal Pradesh, Synthesis Report

    Google Scholar 

  • Banerjee A, Devi M, Nag A, Sharma RK, Kumar A (2017) Modelling probable distribution of Podophyllum hexandrum in North-Western Himalaya. Indian Forr 143:1255–1259

    Google Scholar 

  • Bankoti NS (1990) Woody vegetation along elevational gradient (2000–3600 m) of upper Pindari catchment (Kumaun Himalaya). Ph.D. Thesis (Botany), Kumaun University, Nainital

  • Barnosky AD, Matzke N, Tomiya S, Wogan GOU, Swartz B, Quental TB, Marshall C, McGuire JL, Lindsey EL, Maguire KC, Mersey B, Ferrer EA (2011) Has the earth’s sixth mass extinction already arrived? Nature 471:51–57

    Article  CAS  PubMed  Google Scholar 

  • Baruah PS, Deka K, Lahkar L, Sarma B, Borthakur SK, Tanti B (2019) Habitat distribution modelling and reinforcement of Elaeocarpus serratus L.-a threatened tree species of Assam, India for improvement of its conservation status. Acta Ecol Sin 39:42–49

    Article  Google Scholar 

  • Bhat TA, Wani AA, Gulfishan M (2015) Medicinal plants sector in Northern India: an ethno-medicinal appraisal. J Ethnobiol Tradit Med 124:978–992

    Google Scholar 

  • Bhattarai N, Karki M, Tandon V (2002) Report of the camp workshop in Nepal. Med Plant Conserv 8:28–30

    Google Scholar 

  • Brummitt N, Bachman S (2010) Plants under pressure a global assessment. The first report of the IUCN Sampled Red List Index for Plants. Royal Botanic Gardens, Kew

  • Choudhary JS, Mali SS, Fand BB, Das B (2019) Predicting the invasion potential of indigenous restricted mango fruit borer, Citripestis eutraphera (Lepidoptera: Pyralidae) in India based on MaxEnt modelling. Curr Sci 116:636

    Article  Google Scholar 

  • Corsi F, Dupre E, Boitani L (1999) A large-scale model of wolf distribution in Italy for conservation planning. Conserv Biol 13:150–159

    Article  Google Scholar 

  • Costa GC, Nogueira C, Machado RB, Colli GR (2010) Sampling bias and the use of ecological niche modeling in conservation planning: a field evaluation in a biodiversity hotspot. Biodivers Conserv 19:883–899

    Article  Google Scholar 

  • D’Elia J, Haig SM, Johnson M, Marcot BG, Young R (2015) Activity-specific ecological niche models for planning reintroductions of California Condors (Gymnogyps californianus). Biol Cons 184:90–99

    Article  Google Scholar 

  • Deb CR, Kikon ZP (2018) Distribution prediction model of an over exploited medicinal plant (Paris Polyphylla Smith.) in Nagaland, India and introduction of new concept model (Mosaic Model). Int J Conserv Sci 9:565–576

    Google Scholar 

  • Deb CR, Jamir NS, Kikon ZP (2017) Distribution prediction model of a rare Orchid species (Vanda bicolor Griff.) using small sample size. Am J Plant Sci 8:1388–1398

    Google Scholar 

  • Elith J, Phillips SJ, Hastie T, Dudík M, Chee YE, Yates CJ (2011) A statistical explanation of MaxEnt for ecologists. Divers Distrib 17:43–57

    Article  Google Scholar 

  • Fand BB, Kumar M, Kamble AL (2014) Predicting the potential geographic distribution of cotton mealybug Phenacoccus solenopsis in India based on MaxEnt ecological niche model. J Environ Biol 35:973–982

    PubMed  Google Scholar 

  • Ferrier S, Guisan A (2006) Spatial modelling of biodiversity at the community level. J Appl Ecol 43:393–404

    Article  Google Scholar 

  • Gairola S (2005) Assessment of diversity pattern in sub-alpine forests of west Himalaya: recruitment strategy, litterfall and nutrient return. Ph.D. Thesis (Forestry), HNB University, Srinagar (Garhwal)

  • Gaston KJ (1996) Species richness: measure and measurement. In: Gaston KJ (ed) Biodiversity: a biology of numbers and difference. Blackwell Science, Oxford, pp 77–113

    Google Scholar 

  • Ghareghan F, Ghanbarian G, Pourghasemi HR, Safaeian R (2020) Prediction of habitat suitability of Morina persica L. species using artificial intelligence techniques. Ecol Indic 112:106096

    Article  Google Scholar 

  • Graham CH, Hijmans RJ (2006) A comparison of methods for mapping species ranges and species richness. Glob Ecol Biogeogr 15:578–587

    Article  Google Scholar 

  • Grinnell J (1917) Field tests of theories concerning distributional control. Am Nat 51:115–128

    Article  Google Scholar 

  • Halmy MWA, Fawzy M, Ahmed DA, Saeed NM, Awad MA (2019) Monitoring and predicting the potential distribution of alien plant species in arid ecosystem using remotely-sensed data. Remote Sens Appl Soc Environ 13:69–84

    Google Scholar 

  • He J, Wang H, Li DZ, Chen SF (2007) Genetic diversity of Paris polyphylla var. yunnanensis, a traditional Chinese medicinal herb, detected by ISSR markers. Planta Med 73:1316–1321

    Article  CAS  PubMed  Google Scholar 

  • Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A (2005) Very high-resolution interpolated climate surface for global land areas. Int J Climatol 25:1965–1978

    Article  Google Scholar 

  • Irfan-Ullah M, Amarnath G, Murthy MSR, Peterson AT (2006) Mapping the geographic distribution of Aglaia bourdillonii Gamble (Meliaceae), an endemic and threatened plant using ecological niche modeling. Biodivers Conserv 16:1917–1925

    Article  Google Scholar 

  • IUCN (2004) National Register of Medicinal and Aromatic Plants (Revised and updated). IUCN-The World Conservation Union, vol 13, Kathmandu, p 202

  • Javed SM, Raj M, Kumar S (2017) Predicting potential habitat suitability for an endemic gecko Calodactylodes aureus and its conservation implications in India. Trop Ecol 58:271–282

    Google Scholar 

  • Joshi HC (2002) Assessment of habitat diversity, forest vegetation and human dependence in the buffer zone of Nanda Devi Biosphere Reserve of west Himalaya. Ph.D. thesis (Botany), Kumaun University, Nainital

  • Kaky E, Gilbert F (2019) Assessment of the extinction risks of medicinal plants in Egypt under climate change by integrating species distribution models and IUCN Red List criteria. J Arid Environ 170:103988

    Google Scholar 

  • Khosravi R, Hemami MR, Malekian M, Flint A, Flint L (2016) Maxent modelling for predicting potential distribution of goitered gazelle in central Iran: the effect of extent and grain size on performance of the model. Turk J Zool 40:574–585

    Article  CAS  Google Scholar 

  • Kumar S, Stohlgren TJ (2009) Maxent modelling for predicting suitable habitat for threatened and endangered tree Canacomyrica monticola in New Caledonia. J Ecol Nat Environ 1:94–98

    Google Scholar 

  • Lepcha DL, Pradhan A, Chhetri DR (2019) Population assessment and species distribution modeling of Paris polyphylla in Sikkim Himalaya, India. Biodiversitas J Biol Divers 20:1299–1305

    Article  Google Scholar 

  • Madhu KC, Sussana P, Jha PK (2010) Ecological study of Paris polyphylla Sm. Ecoprint 17:87–93

    Google Scholar 

  • Martinez-Meyer E, Peterson AT, Servín JI, Kiff LF (2006) Ecological niche modelling and prioritizing areas for species reintroductions. Oryx 40:411–418

    Article  Google Scholar 

  • Matin S, Chitale VS, Behera MD, Mishra B, Roy PS (2012) Fauna data integration and species distribution modelling as two major advantages of geoinformatics-based phytobiodiversity study in today’s fast changing climate. Biodivers Conserv 21:1229–1250

    Article  Google Scholar 

  • Mishra R (1968) Ecological work book. Oxford & IBH Publishing Company, New Delhi

    Google Scholar 

  • Muller-Dombois D, Ellenberg H (1974) Aims and methods of vegetation ecology. Wiley, New York

    Google Scholar 

  • Nautiyal MC, Nautiyal BP (2004) Agrotechniques for High Altitude Medicinal Aromatic Plants, Bishen Singh Mahendra Pal Singh

  • Paul A, Gajurel PR, Das AK (2015) Threats and conservation of Paris polyphylla an endangered, highly exploited medicinal plant in the Indian Himalayan Region. Biodiversitas J Biol Divers 16:295–302

    Google Scholar 

  • Pearson RG, Raxworthy CJ, Nakamura M, Peterson AT (2007) Predicting species distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar. J Biogeogr 34:102–117

    Article  Google Scholar 

  • Phillips SJ, Miroslav D, Schapire RE (2004) Maxent Software for modelling species niches and distributions (Version 3.4.1) http://biodiversityinformatics.amnh.org/open_source/maxent/

  • Phillips SJ, Anderson RP, Schapire RE (2006) Maximum entropy modeling of species geographic distributions. Ecol Model 190:231–259

    Article  Google Scholar 

  • Rahimian Boogar A, Salehi H, Pourghasemi HR, Blaschke T (2019) Predicting habitat suitability and conserving Juniperus spp. habitat using SVM and maximum entropy machine learning techniques. Water 11:2049

    Article  Google Scholar 

  • Rawal RS, Pangtey YPS (1994) Distribution and structural-functional attributes of trees in the high-altitude zone of central Himalaya, India. Vegetatio 112:29–34

    Article  Google Scholar 

  • Rawat VS, Rawat YS, Shah S (2010) Indigenous knowledge and sustainable development in the Tones Valley of Garhwal Himalaya. J Med Plants Res 4:2043–2047

    Article  Google Scholar 

  • Rawat B, Gairola S, Bhatt A (2010) Habitat characteristics and ecological status of Paeonia emodi Wallich ex Royle: a high value medicinal plant of West Himalaya. Med Plants 2:121–125

    Google Scholar 

  • Ray R, Gururaja KV, Ramchandra TV (2011) Predictive distribution modeling for rare Himalayan medicinal plant Berberis aristata DC. J Environ Biol 32:725–730

    PubMed  Google Scholar 

  • Roy PS, Kushwaha SPS, Murthy MSR, Roy A, Kushwaha D, Reddy CS, Behera MD, Mathur VB, Padalia H, Saran S, Singh S, Jha CS, Porwal MC (2012) Biodiversity Characterization at Landscape level National Assessment. Indian Institute of Remote Sensing, Indian Space Research Organization, Dehradun. pp i–xx, 1–140

  • Santos X, Brito JC, Sillero N, Pleguezuelos JM, Llorente GA, Fahd S, Parellada X (2006) Inferring habitat suitability areas with ecological modelling techniques and GIS: a contribution to assess the conservation status of Vipera latastei. Biol Conserv 130:416–425

    Article  Google Scholar 

  • Semwal DP, Pardha Saradhi P, Nautiyal BP, Bhatt AB (2007) Current status, distribution and conservation of rare and endangered medicinal plants of Kedarnath Wildlife Sanctuary, Central Himalayas, India. Curr Sci 92:1733–1738

    Google Scholar 

  • Tariq M, Paul S, Bhatt ID, Chandrasekar K, Pande V, Nandi SK (2016) Paris Polyphylla Smith: an important high value himalayan medicinal herb. Int J Adv Res 4:850–857

    Article  CAS  Google Scholar 

  • Thriveni HN, Gunaga SV, Babu HNR, Vasudeva R (2015) Ecological niche modeling, population status and regeneration of Coscinium fenestratum colebr. (Menispermaceae): a medicinally important liana of the central Western Ghats. Trop Ecol 56:101–110

    Google Scholar 

  • Untalan MZG, Burgos DFM, Martinez KP (2019) Species distribution modelling of two species endemic to the Philippines to show the applicability of maxent. Int Archives Photogrammetry, Remote Sens Spatial Inf Sci XLII-4/W19:449–454

  • Yang XQ, Kushwaha SPS, Saran S, Xu J, Roy PS (2013) Maxent modelling for predicting the potential distribution of medicinal plant, Justicia adhatoda L. in Lesser Himalayan foothills. Ecol Eng 51:83–87

    Article  CAS  Google Scholar 

  • Yonzone R, Bhujel RB, Rai S (2012) Genetic resources, current ecological status and altitude wise distribution of medicinal plants diversity of Darjeeling Himalaya of West Bengal, India. Asian Pac J Trop Biomed 12:S439–S445

    Article  Google Scholar 

Download references

Acknowledgements

Authors are thankful to Dr. P.P. Dhyani, Former Director, GBPNIHE and Dr. R.S. Rawal, Director, GBPNIHE for providing necessary facilities. The authors wish to thank Dr. K.C Sekar, Scientist-E, GBPNIHE, Ms. Arti Joshi (GBPNIHE) and Rajkanti Kala (IIRS) for various types of help provided and continuous cooperation. Members of the Biotechnological Applications Group (GBPNIHE) are also thanked for their support and encouragement. Financial support from the Department of Biotechnology and, Council of Scientific and Industrial Research, Govt. of India, New Delhi through a research grant No. BT/Env./BC/01/2010 and CSIR-RA Fellowship Award Letter No. 09/560 (0003) 2019, respectively is greatly acknowledged.

Author information

Author notes

  1. Dhruval Bhavsar

    Present address: Punjab Remote Sensing Centre, Punjab Agriculture University Campus, Ludhiana, Punjab, 141004, India

Authors and Affiliations

  1. G. B. Pant National Institute of Himalayan Environment, Kosi-Katarmal, Almora, Uttarakhand, 263643, India

    Mohd. Tariq, S. K. Nandi & I. D. Bhatt

  2. Department of Biotechnology and Microbiology, Meerut Institute of Engineering and Technology, Meerut, 250005, India

    Mohd. Tariq

  3. Indian Institute of Remote Sensing, Indian Space Research Organization, Dehra Dun, Uttarakhand, 248001, India

    Dhruval Bhavsar & Arijit Roy

  4. Department of Biotechnology, Kumaun University, Bhimtal Campus, Bhimtal, Uttarakhand, 263136, India

    Veena Pande

Authors
  1. Mohd. Tariq
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. S. K. Nandi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. I. D. Bhatt
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Dhruval Bhavsar
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Arijit Roy
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Veena Pande
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mohd. Tariq.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tariq, M., Nandi, S.K., Bhatt, I.D. et al. Phytosociological and niche distribution study of Paris polyphylla smith, an important medicinal herb of Indian Himalayan region. Trop Ecol 62, 163–173 (2021). https://doi.org/10.1007/s42965-020-00125-2

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s42965-020-00125-2

Keywords

Search

Navigation