Abstract
The natural populations of Oroxylum indicum—an important medicinal plant—is declining due to habitat loss and overexploitation. Modelling its potential distribution area can help in its conservation. We used maximum entropy (MaxEnt) model to predict the potential distribution of the species and identify the factors determining its niche. The model performance was consistent and good with area under curve (AUC) value of 0.827 and true skill statistic (TSS) of 0.658. The major environmental variables determining the niche of the species were precipitation of the warmest quarter (49.7%) and annual mean temperature (19.6%). The model predicted 6.01% as highly suitable, 23.29% as moderately suitable and 70.70% as least suitable. The model predictions could be is useful in identifying the critical habitats for conservation and restoration of important plant resources.
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References
Anderson BJ, Arroyo BE, Collingham YC, Etheridge B, Fernandez-De-Simon J, Gillings S, Gregory RD, Leckie FM, Sim IMW, Thomas CD, Travis J, Redpath SM (2009) Using distribution models to test alternative hypotheses about a species’ environmental limits and recovery prospects. Biol Conserv 142(3):488–499. https://doi.org/10.1016/j.biocon.2008.10.036
Baldwin R (2009) Use of maximum entropy modeling in wildlife research. Entropy 11:854–866. https://doi.org/10.3390/e11040854
Behera LK, Gunaga RP, Thakur NS, Mehta AA, Sukhadiya M, Dholariya CA (2019) Oroxylum indicum: detail on a medicinally important and rare tree species of India. MFP News 29(3):9–12
Bennet SSR, Gupta PC, Rao RV (1992) Venerated plants. Indian Council of Forestry Research & Education (ICFRE), Dehradun, pp 147–149
Bumrungsri S, Harbit A, Benzie C, Carmouche K, Sridith K, Racey P (2008) The pollination ecology of two species of Parkia (Mimosaceae) in southern Thailand. J Trop Ecol 24(5):467–475. https://doi.org/10.1017/S026646740800521X
Chauhan NS (1999) Medicinal and aromatic plants of Himachal Pradesh. Indus Publishing, New Delhi, pp 96–298
Chopra RN, Nayar SL, Chopra IC (2002) Glossary of Indian medicinal plants. National Institute of Science Communication and Information Resources, New Delhi, p 182
Deka DC, Kumar V, Prasad C, Kumar K, Gogoi BJ, Singh L, Srivastava RB (2013) Oroxylum indicum—a medicinal plant of North East India: an overview of its nutritional, remedial, and prophylactic properties. J Appl Pharmaceut Sci 3(Suppl. 1):S104–S112. https://doi.org/10.7324/JAPS.2013.34.S19
Dormann CF, Elith J, Bacher S, Buchmann C, Carl G, Carré G, Marquéz RG, Gruber B, Lafourcade B, Leitão PJ, Münkemüller T, McClean C, Osborne PE, Reineking B, Schröder B, Skidmore AK, Zurell D, Lautenbach S (2013) Collinearity: a review of methods to deal with it and a simulation study evaluating their performance. Ecography 36(1):27–46. https://doi.org/10.1111/j.1600-0587.2012.07348.x
Drury CH (2006) Ayurvedic useful plants of India. Asiatic Publishing House, Delhi, p 360
Elith J, Leathwick JR (2009) Species distribution models: ecological explanation and prediction across space and time. Annu Rev Ecol Evol Syst 40:677–697. https://doi.org/10.1146/annurev.ecolsys.110308.120159
Elith J, Kearney M, Phillips S (2010) The art of modelling range-shifting species. Methods Ecol Evol 1:330–342. https://doi.org/10.1111/j.2041-210X.2010.00036.x
Farrell A, Wang G, Rush SA, Martin JA, Belant JL, Butler AB, Godwin D (2019) Machine learning of large-scale spatial distributions of wild turkeys with high-dimensional environmental data. Ecol Evol 9(10):5938–5949. https://doi.org/10.1002/ece3.5177
Feng X, Park DS, Liang Y, Pandey R, Papeş M (2019) Collinearity in ecological niche modeling: confusions and challenges. Ecol Evol 9(18):10365–10376. https://doi.org/10.1002/ece3.5555
GBIF, The Global Biodiversity Information Facility (2022) What is GBIF? https://www.gbif.org/what-is-gbif. Accessed 5 Aug 2022
Glor RE, Warren D (2011) Testing ecological explanations for biogeographic boundaries. Evolution 65:673–683. https://doi.org/10.1111/j.1558-5646.2010.01177.x
Graham CH, Hijmans RJ (2006) A comparison of methods for mapping species ranges and species richness. Glob Ecol Biogeogr 15(6):578–587. https://doi.org/10.1111/j.1466-8238.2006.00257.x
Graham CH, Elith J, Hijmans RJ, Guisan A, Townsend Peterson A, Loiselle BA, NCEAS Predicting Species Distributions Working Group (2008) The influence of spatial errors in species occurrence data used in distribution models. J Appl Ecol 45(1):239–247. https://doi.org/10.1111/j.1365-2664.2007.01408.x
Gu Q, Luo H, Zheng W, Liu Z, Huang Y (2006) Pseudonocardia oroxyli sp. nov., a novel actinomycete isolated from surface-sterilized Oroxylum indicum root. Int J Syst Evol Microbiol 56(9):2193–2197. https://doi.org/10.1099/ijs.0.64385-0
Guisan A, Tingley R, Baumgartner JB, Naujokaitis-Lewis I, Sutcliffe PR, Tulloch AIT, Regan TJ, Brotons L, Mcdonald-Madden E, Mantyka-Pringle C, Martin TG, Rhodes JR, Maggini R, Setterfield SA, Elith J, Schwartz MW, Wintle BA, Broennimann O, Austin M, Ferrier S, Kearney MR, Possingham HP, Buckley YM (2013) Predicting species distributions for conservation decisions. Ecol Lett 16:1424–1435. https://doi.org/10.1111/ele.12189
Guisan A, Thuiller W, Zimmermann NE (2017) Habitat suitability and distribution models with applications in R (Ecology, Biodiversity and Conservation, p. I). Cambridge University Press, Cambridge. https://doi.org/10.1017/9781139028271
Hamann A, Wang T (2006) Potential effects of climate change on ecosystem and tree species distribution in British Columbia. Ecology 87(11):2773–2786
Hanley JA, McNeil BJ (1982) The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 143(1):29–36. https://doi.org/10.1148/radiology.143.1.7063747
Hernandez PA, Graham CH, Master LL, Albert DL (2006) The effect of sample size and species characteristics on performance of different species distribution modeling methods. Ecography 29(5):773–785. https://doi.org/10.1111/j.0906-7590.2006.04700.x
Hijmans RJ, Schreuder M, De la Cruz J, Guarino L (1999) Using GIS to check coordinates of germplasm accessions. Genet Resour Crop Evol 46:291–296. https://doi.org/10.1023/A:1008628005016
Huntley B, Collingham YC, Willis SG, Green RE (2008) Potential impacts of climatic change on European breeding birds. PLoS One 3(1):e1439. https://doi.org/10.1371/journal.pone.0001439
Jagetia GC (2021) A review on the medicinal and pharmacological properties of traditional ethnomedicinal plant sonapatha, Oroxylum indicum. Sinusitis 5(1):71–89. https://doi.org/10.3390/sinusitis5010009
Jayaram K, Prasad MNV (2008) Genetic diversity in Oroxylum indicum (L.) vent. (Bignoniaceae), a vulnerable medicinal plant by random amplified polymorphic DNA marker. Afr J Biotechnol 7(3):254–262. https://doi.org/10.5897/AJB07.096
Jeschke JM, Strayer DL (2008) Usefulness of bioclimatic models for studying climate change and invasive species. Ann N Y Acad Sci 1134:1–24. https://doi.org/10.1196/annals.1439.002
Julliard R, Jiguet F, Couvet D (2004) Common birds facing global changes: what makes a species at risk? Glob Chang Biol 10(1):148–154. https://doi.org/10.1111/j.1365-2486.2003.00723.x
Khare CP (2007) Indian medicinal plants. Springer Science Business Media, LLC, Berlin, p 453
Khongsai M, Kayang H, Saikia SP (2015) Ethnomedicinal plants used by different tribes of Arunachal Pradesh. Indian J Tradit Knowl 10(3):541–546
Kremen C, Cameron A, Moilanen A, Phillips SJ, Thomas CD, Beentje H, Dransfield J, Fisher BL, Glaw F, Good TC, Harper GJ, Hijmans RJ, Lees DC, Louis E Jr, Nussbaum RA, Raxworthy CJ, Razafimpahanana A, Schatz GE, Vences M, Vieites DR, Wright PC, Zjhra ML (2008) Aligning conservation priorities across taxa in Madagascar with high-resolution planning tools. Science 320(5873):222–226. https://doi.org/10.1126/science.1155193
Kumar D, Rawat S, Joshi R (2021) Predicting the current and future suitable habitat distribution of the medicinal tree Oroxylum indicum (L.) Kurz in India. J Appl Res Med Aromat Plants 23:100309. https://doi.org/10.1016/j.jarmap.2021.100309
Lawania RD, Mishra A, Gupta R (2010) Oroxylum indicum: a review. Pharm J 2(9):304–310. https://doi.org/10.5530/pj.2011.24.10
Manel S, Williams HC, Ormerod SJ (2001) Evaluating presence–absence models in ecology: the need to account for prevalence. J Appl Ecol 38(5):921–931. https://doi.org/10.1046/j.1365-2664.2001.00647.x
Manzoor SA, Griffiths G, Lukac M (2018) Species distribution model transferability and model grain size–finer may not always be better. Sci Rep 8(1):1–9. https://doi.org/10.1038/s41598-018-25437-1
Merow C, Smith MJ, Silander JA Jr (2013) A practical guide to MaxEnt for modeling species’ distributions: what it does, and why inputs and settings matter. Ecography 36(10):1058–1069. https://doi.org/10.1111/j.1600-0587.2013.07872.x
Mishra M (2011) Conservation of biodiversity in the natural forests of Central India: a case of critically endangered medicinal species Safed musli in Bhopal Forest (MP) India. Biosci Discov 2:299–308
Mishra M, Kotwal PC (2010) Unripe collection of musli (Chlorophytum spp.) and its impact on raw material quality-a case of Dhamtari forest Chhattisgarh, India. Life Sci Leafl 3:79–89
Murtem G, Chaudhry P (2016) An ethnobotanical note on wild edible plants of Upper Eastern Himalaya, India. Braz J Biol Sci 3(5):63–81
Nadkarni AK (1982) Indian materia medica. Popular Prakashan Pvt. Ltd., Bombay
Naimi B, Araújo MB (2016) Sdm: a reproducible and extensible R platform for species distribution modelling. Ecography 39(4):368–375. https://doi.org/10.1111/ecog.01881
Nimasow G, Nimasow OD, Rawat JS, Tsering G, Litin T (2016) Remote sensing and GIS-based suitability modeling of medicinal plant (Taxus baccata Linn.) in Tawang district, Arunachal Pradesh, India. Curr Sci 110:219–227. https://doi.org/10.18520/cs/v110/i2/219-227
Parmesan C, Yohe G (2003) A globally coherent fingerprint of climate change impacts across natural systems. Nature 421(6918):37–42. https://doi.org/10.1038/nature01286
Parolo G, Rossi G, Ferrarini A (2008) Toward improved species niche modelling: Arnica montana in the Alps as a case study. J Appl Ecol 45(5):1410–1418. https://doi.org/10.1111/j.1365-2664.2008.01516.x
Pearson RG, Dawson TP, Liu C (2004) Modelling species distributions in Britain: a hierarchical integration of climate and land-cover data. Ecography 27:285–298. https://doi.org/10.1111/j.0906-7590.2004.03740.x
Peterson AT, Papeş M, Soberón J (2008) Rethinking receiver operating characteristic analysis applications in ecological niche modeling. Ecol Model 213(1):63–72. https://doi.org/10.1016/j.ecolmodel.2007.11.008
Phillips SJ (2008) Transferability, sample selection bias and background data in presence-only modelling: a response to Peterson et al. (2007). Ecography 31(2):272–278. https://doi.org/10.1111/j.0906-7590.2008.5378.x
Phillips SJ, Anderson RP, Schapire RE (2006) Maximum entropy modeling of species geographic distributions. Ecol Model 190(3–4):231–259. https://doi.org/10.1016/j.ecolmodel.2005.03.026
Phillips SJ, Anderson RP, DudÃk M, Schapire RE, Blair ME (2017a) Opening the black box: an open-source release of Maxent. Ecography 40(7):887–893. https://doi.org/10.1111/ecog.03049
Phillips SJ, DudÃk M, Schapire RE (2017b) Maxent software for modeling species niches and distributions (Version 3.4.1). http://biodiversityinformatics.amnh.org/open_source/maxent/. Accessed 20 Aug 2022
Prakash P (2005) Indian medicinal plants. Chaukhamba Sanskrit Pratishthan, Delhi
Radosavljevic A, Anderson RP (2014) Making better Maxent models of species distributions: complexity, overfitting and evaluation. J Biogeogr 41(4):629–643. https://doi.org/10.1111/jbi.12227
RamÃrez-Villegas J, Bueno Cabrera A (2009) Working with climate data and niche modeling: I. creation of bioclimatic variables. International Center for Tropical Agriculture (CIAT), Cali
Rathod K, Ram Mayur L, Jaliya R, Dhaka R, Jha S, Desai BS (2022) Oroxylum indicum: ethnobotany, phytochemistry and therapeutic uses. Pharma Innov J SP-11(1):200–220
Singh HB, Prasad P, Rai LK (2002) Folk medicinal plants in the Sikkim Himalayas of India. Asian Folk Stud 61:295–310
Skov F (2000) Potential plant distribution mapping based on climatic similarity. Taxon 49:503–515. https://doi.org/10.2307/1224346
Sony RK, Sen S, Kumar S, Sen M, Jayahari KM (2018) Niche models inform the effects of climate change on the endangered Nilgiri Tahr (Nilgiritragus hylocrius) populations in the southern Western Ghats, India. Ecol Eng 120:355–363. https://doi.org/10.1016/j.ecoleng.2018.06.017
Tangjang S, Namsa ND, Aran C, Litin A (2011) An ethnobotanical survey of medicinal plants in the Eastern Himalayan zone of Arunachal P, Shrestha BB (2018) understanding the dynamics in distribution of invasive alien plant species under predicted climate change in Western Himalaya. PLoS One 13(4):e0195752. https://doi.org/10.1371/journal.pone.0195752
Thapa S, Chitale V, Rijal SJ, Bisht N, Shrestha BB (2018) Understanding the dynamics in distribution of invasive alien plant species under predicted climate change in Western Himalaya. PLoS One 13(4):e0195752. https://doi.org/10.1371/journal.pone.0195752
Theobald WL, Dassanayake MD, Fosberg MR (1981) A revised handbook to the flora of Ceylon. Amerind Publishing Co. Pvt. Ltd., New Delhi
Tripathi AK, Limasenla RS (2017) Ethno-medicinal plants used by Nyishi tribe of Arunachal Pradesh, India. World J Pharm Pharm Sci 6(5):1246–1253. https://doi.org/10.20959/wjpps20175-9213
Trisurat Y, Shrestha RP, Kjelgren R (2011) Plant species vulnerability to climate change in Peninsular Thailand. Appl Geogr 31(3):1106–1114. https://doi.org/10.1016/j.apgeog.2011.02.007
Vaughan IP, Ormerod SJ (2003) Improving the quality of distribution models for conservation by addressing shortcomings in the field collection of training data. Conserv Biol 17(6):1601–1611. https://doi.org/10.1111/j.1523-1739.2003.00359.x
Vikas GM, Tandon R, Ram HYM (2009) Pollination ecology and breeding system of Oroxylum indicum (Bignoniaceae) in the foothills of the Western Himalaya. Appl Geogr 25:93–96. https://doi.org/10.1017/S0266467408005634
Wisz MS, Hijmans RJ, Li J, Peterson AT, Graham CH, Guisan A, NCEAS Predicting Species Distributions Working Group (2008) Effects of sample size on the performance of species distribution models. Divers Distrib 14(5):763–773. https://doi.org/10.1111/j.1472-4642.2008.00482.x
Yasodha R, Ghosh M, Santan B, Gurumurthi K (2004) Importance of biotechnological research in tree species of Dashmula. Indian Forester 130:79–88. https://doi.org/10.36808/if/2004/v130i1/2221
Yi YJ, Cheng X, Yang ZF, Zhang SH (2016) MaxEnt modeling for predicting the potential distribution of endangered medicinal plant (H. riparia lour) in Yunnan, China. Ecol Eng 92:260–269. https://doi.org/10.1016/j.ecoleng.2016.04.010
Acknowledgements
The authors are thankful to the Soil and Limnological Laboratory, Department of Geography, Rajiv Gandhi University, Rono Hills, Doimukh, Arunachal Pradesh (India), for facilitating necessary infrastructural and laboratory facilities to accomplish this work. The authors also acknowledge WorldClim, ESRI land cover and World Soil Information (ISRIC) and GBIF for making available various data sources used in this study.
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Bushi, D., Nimasow, O.D., Nimasow, G. (2023). Modelling the Distribution of a Medicinal Plant Oroxylum indicum (L.) Kurz for Its Conservation in Arunachal Pradesh. In: Dhyani, S., Adhikari, D., Dasgupta, R., Kadaverugu, R. (eds) Ecosystem and Species Habitat Modeling for Conservation and Restoration. Springer, Singapore. https://doi.org/10.1007/978-981-99-0131-9_11
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