Will Ethulia gracilis Del Become Invasive in India? An Analysis Using Ecological Niche Modelling Approach

Neelavar Ananthram Aravind, Bipin Ananthram Charles, Gudasalamani Ravikanth

Abstract


In the era of Anthropocene, an ability to predict the rate at which an alien invasive species spreads its range in anew habitat in response to climate change is of growing importance. The ability of modelling tools to predict thepotential areas of spread can help in prioritizing for effective management of invasive species. Further, themethods used for modelling range spread of an alien invasive species can also be employed to assess thedistributional implications of the species in response to climate change. An exotic weed Ethulia gracilis (FamilyAsteraceae), was recently found for the first time in India growing along the road side and in fallow lands. Thisraised serious issue of concern as the species can invade rapidly. In this study, we identified potential habitats ofthe species & areas where the species can invade both under current and future climate scenarios using ecologicalniche model. Our study highlights that climate change can accelerate the potential spread of the species infuture.

Keywords


Niche modelling, Invasion, Climate change, Species introduction, Asteraceae

References


Ahamed, R., Khuroo, A., Charles, B.,Hamid, M.,Rashid, I. and Aravind, N.A. 2019. Global distribution modelling, invasion risk assessment and niche shift patterns of Ox-eye Daisy (Leucanthemum vulgare) under climate change. Scientific Reports, 9, 11395.

Aiello-Lammens, M.E., Boria, R.A., Radosavljevic, A.,Vilela, B. and Anderson, R.P. 2015. spThin: An R package for spatial thinning of species occurrence records for use in ecological niche models. Ecography, 38, 541–545.

Atwater, D.Z., Ervine, C. and Barney, J.N. 2018. Climatic niche shifts are common in introduced plants. Nature Ecology and Evolution, 2, 34–43.

Baek, H.-J., Lee, J., Lee, H.-S., Hyun, Y.-K., Cho, C.-H.,Kwon, W.-T.,Marzin, C., Gan, S.-Y.,Kim, M.-J., Choi, D.-H., Lee, J., Lee, J., Boo, K.-O., Kang, H.-S. and Byun, Y.-H. 2013. Climate change in the 21st century simulated by HadGEM2-AO under representative concentration pathways. Asia-Pacific Journal of Atmospheric Science, 49, 603–618.

Barbosa, C., Otalora, J.M., Giehl, E.L.H.,Villalobos, F., Loyola, R., Tessarolo, G., Machado, N. and Castellani, T.T. 2017. Changes in the realized niche of the invasive succulent CAM plant Furcraea foetida. Austral Ecology, 42, 643-654.

Bradley, B.A., Blumenthal, D.M., Wilcove, D.S. and Ziska, L.H. 2010. Predicting plant invasions in an era of global change. Trends Ecology and Evolution, 25(5), 310–318.

Dalavi, J., Bramhadand, S., Narayankar, C., Patil, S. and Yadav, S. 2018. Ethulia gracilis Delile (Asteraceae), a new weed record for India. Current Science, 115(10), 1856–1857.

Dormann, C.F., Elith, J., Bacher, S., Buchmann, C., Carl, G., Carré, G., García Marquéz, J.R., Gruber, B., Lafourcade, B., Leitão, P.J., Münkemüller, T., McClean, C., Osborne, P.E., Reineking, B., Schröder, B., Skidmore, A.K., Zurell, D. and Lautenbach, S. 2013. Collinearity: A review of methods to deal with it and a simulation study evaluating their performance. Ecography, 36, 27–46.

Elton, C.S. 1958. The Ecology of Invasions by Animals and Plants. Methuen, London.

Fitzpatrick, M.C. and Weltzin, J.F. 2005. Ecological niche models and the geography of biological invasions: a review and a novel application. pp. 45-60 In: Inderjit (Ed.). Invasive Plants: Ecological and Agricultural Aspects, Birkhäuser Basel. https://doi.org/10.1007/3-7643-7380-6_3

GBIF. 2021.Ethulia gracilis Delile in GBIF Secretariat, GBIF Backbone Taxonomy. Checklist dataset https://doi.org/10.15468/39omei accessed via GBIF.org on 2021-04-10.

Gharde, Y., Singh, P.K., Dubey, R.P. and Gupta, P.K. 2018. Assessment of yield and economic losses in agriculture due to weeds in India. Crop Protection, 107, 12-18

Gormley, A.M., Forsyth, D.M., Griffioen, P., Lindeman, M., Ramsey, D.S.L., Scroggie, M.P. and Woodford, L. 2011. Using presence- only and presence-absence data to estimate the current and potential distributions of established invasive species. Journal of Applied Ecology, 48, 25–34

Guisan, A., Tingley, R., Baumgartner, J.B., Naujokaitis-Lewis, I., Sutcliffe, P.R., Tulloch, A.I.T., Regan, T.J., Brotons, L., McDonald-Madden, E., Mantyka-Pringle, C., Martin, T.G., Rhodes, J.R., Maggini, R., Setterfield, S.A., Elith, J., Schwartz, M.W., Wintle, B.A., Broennimann, O., Austin, M., Ferrier, S., Kearney, M.R., Possingham, H.P. and Buckley, Y.M.2013. Predicting species distributions for conservation decisions. Ecology Letters, 16(12), 1424–1435.

Gupta, A.K. 2011. Ethulia conyzoides. The IUCN Red List of Threatened Species 2011: e.T164429A5864268. http://dx.doi.org/10.2305/IUCN.UK.2011-2.RLTS.T164429A5864268.en. Downloaded on 11 April 2021.

Hijmans, R.J.,Cameron, S.E., Parra, J.L., Jones, P.G. and Jarvis, A. 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology, 25, 1965–1978.

Hijmans, R.J., Guarino, L., Cruz, M. and Rojas, E., 2001. Computer tools for spatial analysis of plant genetic resources data: 1. DIVA-GIS. Plant Genetic Resources Newsletter, pp.15-19.

Hulme, P.E. 2003. Biological invasions: winning the science battles but losing the conservation war? Oryx, 37, 178–193.

Jimenez-Valverde, A., Peterson, A.T.,Soberon, J.,Overton, J.M.,Aragon, P.and Lobo, J.M. 2013. Use of niche models in invasive species risk assessments. Biological Invasions 13, 2785–2797.

Kariyawasam, C.S., Kumar, L. and Ratnayake, S.S. 2019. Invasive Plants Distribution Modelling: A Tool for Tropical Biodiversity Conservation. With Special Reference to Sri Lanka. Tropical Conservation Science, 12, 1–12

Mack, R.N., Simberloff, D., Lonsdale, W.M.,Evans, H., Clout, M.andBazzae, F.A. 2000. Biotic invasions: causes, epidemiology, global consequences, and control. Ecological Applications 10(10), 689–710.

Martin, G.M., Bellouin, N., Collins, W.J., Culverwell, I.D., Halloran, P.R., Hardiman, S.C., Hinton, T.J., Jones, C.D., McDonald, R.E., McLaren, A.J., O'Connor, F.M., Roberts, M.J., Rodriguez, J.M., Woodward, S., Best, M.J., Brooks, M.E., Brown, A.R., Butchart, N., Dearden, C., Derbyshire, S.H., Dharssi, I., Doutriaux-Boucher, M., Edwards, J.M., Falloon, P.D., Gedney, N., Gray, L.J., Hewitt, H.T., Hobson, M., Huddleston, M.R., Hughes, J., Ineson, S., Ingram,, W.J., James, P.M., Johns, T.C., Johnson, C.E., Jones, A., Jones, C.P., Joshi, M.M. Keen, A.B., Liddicoat, S., Lock, A. P., Maidens, A.V., Manners, J.C., Milton, S.F., Rae, J.G.L., Ridley, J.K., Sellar, A. Senior, C.A., Totterdell, I.J., Verhoef, A., Vidale, P.L. and Wiltshire, A. 2011. The HadGEM2 family of Met Office Unified Model climate configurations. Geoscientific Model Development,4, 723–757.

MEA. 2005. Millennium Ecosystem Assessment. Ecosystems and Human Well-being: synthesis World Resources Institute.

Moss, R.H., Edmonds, J.A., Hibbard, K.A.,R. Manning, M.R.,K. Rose, S.K., Van Vuuren, D.P., Carter, T.R.; Emori, S.; Kainuma, M.; Kram, T.and Meehls. G.A. 2010. The next generation of scenarios for climate change research and assessment. Nature 463(7282), 747.

Raja, N. and Ravikanth, G. 2020. The Enemy of My Enemy is Still My Enemy: The Biological Invasion and Management of Gambusia in Peninsular India. Current Science, 119(11), 1752-1759.

Parmesan, C. 2006. Ecological and evolutionary responses to recent climate change. Annual Review of Ecology, Evolution and Systematics. 37: 637-669.

Phillips, S.J., Anderson, R.P.and Schapire, R.E. 2006. Maximum entropy modelling of species geographic distributions. Ecological Modelling, 190, 231–259.

Priti, H., Aravind, N.A., Uma Shaanker, R.and Ravikanth, G. 2016. Modeling impacts of future climate on the distribution of Myristicaceae species in the Western Ghats, India. Ecological Engineering, 89, 14–23.

Roskov, Y.,Ower, G.,Orrell, T., Nicolson, D., Bailly, N., Kirk, P.M.,Bourgoin, T., DeWalt, R.E.,Decock, W.,Nieukerken E. van,Zarucchi J. andPenev, L. (eds). 2019. Species 2000 & ITIS Catalogue of Life, 2019 Annual Checklist. Digital resource at www.catalogueoflife.org/annual-checklist/2019. Species 2000: Naturalis, Leiden, the Netherlands.

Roura-Pascual, N., Suarez, A., Gomez, C., Pons, P.,Touyama, Y., Wild, A.L. and Peterson, A.T. 2005. Geographic potential of Argentine ants (Linepithemahumile Mayr) in the face of global climate change. Proceedings of Royal Society London (B), 271, 2527–2535.

Roy, H.E., Pocock, M.J.O.,Preston, C.D., Roy, D.B.,Savage, J.,Tweddle, J.C.and Robinson, L.D. 2012) Understanding Citizen Science and Environmental Monitoring. Final Report on behalf of UK-EOF. NERC Centre for Ecology and Hydrology and Natural History Museum.

Sarma, R.R.,Munsi, M.and Aravind, N.A. 2015. Effect of Climate change on invasion risk of Giant African Snail (AchatinafulicaFérussac, 1821: Achatinidae) in India. PLoS One, 10(11), e0143724.

Swets, J. A. (1988) Measuring the accuracy of diagnostic systems. Science, 240(4857), 1285–1293.

Uma Shaanker, R., Joseph, G., Aravind, N.A., Kannan, R. and. Ganeshaiah, K.N. 2010. Invasive plants in tropical human-dominated landscapes: Need for an inclusive management strategy. In:Perrings, C., Mooney, H. and Williamson, M. (Eds.). Bioinvasions and Globalization: Ecology, Economics, Management and Policy, pp. [202–219].Oxford: OxfordUniversity Press.

Wei, J., Zhang, H., Zhao, W.and Zhao, Q. 2017. Niche shifts & the potential distribution of Phenacoccussolenopsis (Hemiptera: Pseudococcidae) under climate change. PLoS ONE, 12(7), e0180913.

Yackulic, C.B., Chandler, R.,Zipkin, E.F.,Royle, J.A.,Nichols, J.D.,Campbell, E.H. and Veran, G.S. 2013. Presence‐only modelling using MAXENT: when can we trust the inferences? Methods in Ecology and Evolution, 4, 236-243.

Yi, Y.,Cheng, X., Yang, Z. and Zhang, S.H. 2016. Maxent modeling for predicting the potential distribution of endangered medicinal plant (H. riparia Lour) in Yunnan, China. Ecological Engineering, 92, 260–269.


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