Habitat suitability modeling for conservation of Ardisia blatteri: a narrow endemic and endangered species of the Western Ghats, India

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Research Articles | Published:

E-ISSN: 2229-4473.
Website: www.vegetosindia.org
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DOI: 10.1007/s42535-025-01430-8
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Keywords: Climate change, Endangered, MaxEnt, Western Ghats


Abstract


Climate change is significantly impacting the distribution of species. This study used Maximum Entropy (MaxEnt) modeling to predict the current and future habitat suitability of Ardisia blatteri Gamble, an endangered and narrowly endemic plant species in Western Ghats. We used five bioclimatic variables, and three non-bioclimatic variables (aspect, elevation, slope), and species occurrence points to predict suitable habitats. The study used Shared Socio-economic Pathways SSP2-4.5 and SSP5-8.5 scenarios for the 2050s and 2070s, relying on data from the HadGEM3-GC31-LL climate model. The MaxEnt model yielded an AUC value of 0.97, indicating an exceptional model accuracy. Key factors influencing A. blatteri habitat included precipitation of the driest month (Bio-14; 70.3%), elevation (14.2%), mean diurnal range (Bio-2; 11.8%), and precipitation of the warmest quarter (Bio-18; 1.8%) were major contributors. The study predicts a decline in A. blatteri habitat suitability under future climate change scenarios, providing valuable guidance for conservation efforts. Model predictions indicate a decline in moderate potential areas by 27%, 21%, 30%, and 90% under SSP2-4.5 and SSP5-8.5 scenarios for the 2050s and 2070s. Very high potential areas are projected to decline by 83%, 72%, 74%, and 93%, with the most severe reduction (93%) under SSP5-8.5 by the 2070s. Any change in rainfall patterns and temperature is expected to have detrimental effects on the future distribution of this species, and changes in mean diurnal range also impact on species survival in future. Our findings suggest that suitable habitat for A. blatteri would decrease under different climate change scenarios.

Climate change, Endangered, MaxEnt, Western Ghats


References


Ahmadi M, Hemami MR, Kaboli M, Shabani F (2023) MaxEnt brings comparable results when the input data are being completed; model parameterization of four species distribution models. Ecol Evol 13(2):e9827


Ahmadi M, Hemami MR, Kaboli M, Ghane-Ameleh S, Malekian M (2025) Conservation biogeography of mountain vipers: a phylogenetic niche modelling approach. Divers Distrib 31(1):e13955


Barnosky AD, Matzke N, Tomiya S, Wogan GO, 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


Brooke C (2008) Conservation and adaptation to climate change. Conserv Biol 22:1471–1476. https://doi.org/10.1111/j.1523-1739.2008.01031


BSI (2024) Plant discoveries 2023. Botanical survey of India, Kolkata. Available from: https://bsi.gov.in/uploads/documents/Plant%20Discoveries/Plant%20Discoveries%202023.pdf


Cassini MH (2011) Ranking threats using species distribution models in the IUCN red list assessment process. Biodivers Conserv 20:3689–3692


Chandran SMD, Rao GR, Gururaja KV, Ramachandra TV (2010) Ecology of the swampy relic forests of Kathalekan from central Western Ghats, India. Bioremed, Biodivers Bioavailab 4:54–68


Chen J, Pipoly JJ (1996) Myrsinaceae. In: Wu ZY, Raven PH (eds) Flora of China 15. Science Press, Miss Bot Gard Press, pp 10–29


Chethana HC, Ganesh T (2013) Reconciling natural history and species ecology: Myristica beddomei (Myristicaceae) in the Western Ghats, India. Trop Conserv Sci 6:663–673


Cincotta RP, Wisnewski J, Engelman R (2000) Human population in the biodiversity hotspots. Nature 404:990–992


Deb JC, Phinn S, Butt N, McAlpine CA (2017) Climatic-induced shifts in the distribution of teak (Tectona grandis) in tropical Asia: implications for forest management and planning. Environ Manage 60(3):422–435


Elith J, Leathwick J (2009) Species distribution models: ecological explanation and prediction across space and time. Annu Rev Ecol Evol Syst 40:677–697





Elith J, Phillips SJ, Hastie T, Dudík M, Chee YE, Yates CJ (2011) A statistical explanation of MaxEnt for ecologists. Divers Distrib 17(1):43–57


Elser JJ, Fagan WF, Kerkhoff AJ, Swenson NG, Enquist BJ (2010) Biological stoichiometry of plant production: metabolism, scaling and ecological response to global change. New Phytol 186(3):593–608





Fick SE, Hijmans RJ (2017) Worldclim 2: new 1-km spatial resolution climate surfaces for global land areas. Int J Climatol 37(12):4302–4315


Fivaz FP, Gonseth Y (2014) Using species distribution models for IUCN Red Lists of threatened species. J Insect Conserv 18:427–436


Flory AR, Kumar S, Stohlgren TJ, Cryan PM (2012) Environmental conditions associated with bat white nose syndrome mortality in the north-eastern United States. J Appl Ecol 49:680–689


Fortunel C, Paine C, Fine P, Kraft N, Baraloto C (2014) Environmental factors predict community functional composition in Amazonian forests. J Ecol 102:145–155


Franklin J (2010) Mapping species distributions: spatial inference and prediction. Cambridge University Press, Cambridge, United Kingdom


Goncalves E, Herrera I, Duarte M, Bustamante RO, Lampo M, Velasquez G, Sharma GP, Garcia-Rangel S (2014) Global invasion of Lantana camara: has the climatic niche been conserved across continents? PLoS ONE 9(10):111468


Gulcin D, Arslan ES, Orucu OK (2021) Effects of climate change on the ecological niche of common hornbeam (Carpinus betulus L.). Ecol Informatics 66:101478


Gupta R, Sharma LK, Rajkumar M, Mohammad N, Khan ML (2023) Predicting habitat suitability of Litsea glutinosa: a declining tree species, under the current and future climate change scenarios in India. Landsc Ecol Eng 19:2–3


Hulme PE (2021) Unwelcome exchange: international trade as a direct and indirect driver of biological invasions worldwide. One Earth 4(5):666–679


IMD (2016) Annual climate summary 2016. Indian Meteorological Department. Govt. of India, Pune, India


Jochum G, Mudge K, Thomas R (2007) Elevated temperatures increase leaf senescence and root secondary metabolite concentrations in the understory herb Panax quinquefolius (Araliaceae). Am J Bot 94(5):819–826


Julius A, Kajita T, Utteridge TMA (2020) Two new species of Ardisia subgenus Tetrardisia (Primulaceae–Myrsinoideae) from Borneo. Phytokeys 145:139–148


Kumar R, Kumar KK, Prasanna V, Kamala K, Deshpande NR, Patwardhan SK, Pant G (2003) Future climate scenarios. In: Shukla PR, Sharma SK, Ravindranath NH, Garg A, Bhattacharya S (eds) Climate change and India: vulnerability assessment and adaptation. Universities Press, Hyderabad, pp 69–127


Malik K, Saranya KRL, Reddy CS, Varghese AO (2022) Predicting the habitat suitability of Dipterocarpus indicus – an endemic and endangered species in the Western Ghats, India. Spat Inf Res 30(5):617–632


Mathur M, Mathur P, Purohit H (2023) Ecological niche modelling of a critically endangered species Commiphora wightii (Arn.) Bhandari using bioclimatic and non-bioclimatic variables. Ecol Process 12:8


Meinshausen M, Nicholls ZRJ, Lewis J, Gidden MJ, Vogel E, Freund M, Beyerle U, Nauels A et al (2020) The shared socioeconomic pathway (SSP) greenhouse gas concentration and their extension to 2500. Geosci Model Dev 13:3571–3605


Namitha LH, Achu AL, Reddy CS, Beevy Suhara (2022) Ecological modelling for the conservation of Gluta travancorica Bedd - an endemic tree species of southern Western Ghats, India. Ecol Inf 71:101823


Nazarudeen A, Rajkumar G, Prakashkumar R (2020) A new species of Ardisia (Primulaceae) from the Anamalai Hills of Western Ghats, India. Ann Plant Sci 9:3892–3898


Niknaddaf Z, Hemami MR, Pourmanafi S, Ahmadi M (2023) An integrative climate and land cover change detection unveils extensive range contraction in mountain newts. Glob Ecol Conserv 48:e02739


Phillips SJ, Dudik M (2008) Modelling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography 31:161–175


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


Polak T, Saltz D (2011) Reintroduction as an ecosystem restoration technique. Conserv Biol 25(3):424–424


Pownitha KV, Nagaraja HPB, Charles B, Vasudeva R, Aravind NA, Ravikanth G (2022) Ecological niche modelling to identify suitable sites for cultivation of two important medicinal lianas of the Western Ghats, India. Trop Ecol 63(3):423–432


Pradhan P (2016) Strengthening maxent modelling through screening of redundant explanatory bioclimatic variables with variance inflation factor analysis. Researcher 8(5):29–34


Pramanik M, Paudel U, Mondal B, Chakraborti S, Deb P (2018) Predicting climate change impacts on the distribution of the threatened Garcinia indica in the Western Ghats, India. Clim Risk Manag 19:94–105


Pramanik M, Diwakar AK, Dash P, Szabo S, Pal I (2021) Conservation planning of cash crops species (Garcinia gummi-gutta) under current and future climate in the Western Ghats, India. Environ Dev Sustain 23:5345–5370


Priti H, Aravind NA, Shaanker RU, Ravikanth G (2016) Modelling impacts of future climate on the distribution of Myristicaceae species in the Western Ghats, India. Ecol Eng 89:14–23


Pulparambil H, Pradeep NS (2023) Ecological niche modelling in identifying habitats for effective species conservation: a study on the endemic aquatic plant Crinum malabaricum. J Nat Conserv 76:126517


Ramachandran TV (2017) Reduction in forest area had led to deficit rainfall. Deccan Herald


Reddy CS, Jha CS, Dadhwal VK (2016) Assessment and monitoring of long-term forest cover changes (1920–2013) in the Western Ghats biodiversity hotspot. J Earth Syst Sci 125(1):103–114


Reddy CS, Anuja J, Gija AA, Sabu MM (2021) Patterns of animal and plant discoveries, distribution and endemism in India - implications on effectiveness of the protected area network. Environ Monit Assess 193:62





Sage RF (2020) Global change biology: a primer. Glob Change Biol 26(1):3–30


Scheper J, Holzschuh A, Kuussaari M, Potts S, Rundlof M, Smith H, Kleijn D (2013) Environmental factors driving the effectiveness of European agri-environmental measures in mitigating pollinator loss—a meta-analysis. Ecol Lett 16(7):912–920


Sen S, Gode A, Ramanujam S, Ravikanth G, Aravind NA (2016) Modeling the impact of climate change on wild Piper nigrum (Black Pepper) in the Western Ghats, India using ecological niche models. J Plant Res 129(6):1033–1040


Shameer TT, Ramesh B, Easa PS (2019) Recent records of rusty-spotted cat from southern Western Ghats, India. CATnews 70:12–15


Shilpa G, Giriraj A, Reddy CS, Jentsch A, Sudhakar S (2012) Species distribution models: ecological explanation and prediction of an endemic and endangered plant species (Pterocarpus santalinus L.f.). Curr Sci 102(8):1157–1165


Thuiller W, Broennimann O, Hughes G, Alkemade JRM, Midgley GF, Corsi F (2006) Vulnerability of African mammals to anthropogenic climate change under conservative land transformation assumptions. Glob Change Biol 12:424–440


Viswanathan MB, Manikandan U, Tangavelou AC (2002) Rediscovery of Ardisia blatteri Gamble (Myrsinaceae), an endemic and critically endangered species from the Kalakkad - Mundanthurai Tiger Reserve in India. Rheedea 12:193–196

 


Author Information


Botanical Research Centre, The Madura College (Autonomous), Madurai, India