Ecological Niche modelling for Predicting Suitable Habitat for Conservation of Vulnerable Tree Species Buchnania lanzan (Spreng.) in Degraded Ecosystem of Vindhya region of Uttar Pradesh, India
DOI:
https://doi.org/10.36808/if/2026/v152i6A/171221Keywords:
Ecological niche, Conservation, Climate change, Vindhya region.Abstract
A study was carried out to predict the future distribution range of Chironji (Buchanania lanzan) and characterization of ecological niche in the degraded ecosystem of Vindhya region of Uttar Pradesh. Two different ecological niche models (BioClim and MaxEnt) were applied to determine future species distribution ranges and identify limiting bioclimatic variables for real occurrence data of 57 locations. The GeoCAT and Digital Elevation Model (DEM) were used to find out the population size and topography. Results of the study showed soil pH varied from 6.46 to 7.92, Nitrogen from low (213 kg/ha) to medium (389 kg/ha), Phosphorus was medium (13.50-22.50 kg/ha), and Potassium low (84 kg/ha) to high (662 kg/ha), with 210m to 520m elevation and population size 4.515km2 (Extent of Occurrence) and 23 km2 (Area of Occupancy) with Mahua (Madhuka longifolia var. latifolia), Tendu (Diospuros melanoxylon), and Sal (Shorea robusta) as associates. The distribution ranges were found with 80% overlap between the baseline (2030) and predicted (2100) habitat suitability for the focal species, which were primarily determined by the mean temperature of the warmest quarter (Bio_10) and precipitation of the driest quarter (Bio_17) that emerged to be the most sensitive with the contribution of 29.5% and 22.3% respectively. The present (2030) and future (2100) projections suggest 13.73% low suitable, 86.27% medium suitable and 1.52% low suitable, 98.48% medium suitable area respectively for the distribution and cultivation of the chironji. The findings of the study provide insight into the suitable habitats of B. lanzan for its promotion and conservation in Banda, Hamirpur, Kaushambi, Bhadohi, Prayagraj, and Chitrakoot forest divisions of Uttar Pradesh.
References
Adhikari D., Barik S.K. and Upadhaya K. (2012). Habitat distribution modelling for reintroduction of Ilex khasiana Purk., a critically endangered tree species of northeastern India. Ecological Engineering, 40: 37-43.
Araujo M.B., Cabeza M., Thuiller W., Hannah L. and Williams P.H. (2004). Would climate change drive species out of reserves? An assessment of existing reserve-selection methods. Global Change Biology, 10(9): 1618–1626.
Austin M.P. and Niel K.P. (2011). Improving species distribution models for climate change studies: variable selection and scale. Journal of Biogeography, 38: 1–8.
Avani P., Bauri F.K. and Sarkar S.K. (2015). Chironji: A golden nut fruit of Indian tribes. In III International Symposium on Underutilized Plant Species, 1241: 37-42.
Chefaoui R.M., Hortal J. and Lobo J.M. (2005). Potential distribution modelling, niche characterization and conservation status assessment using GIS tools: a case study of Iberian Copris species. Biological conservation, 122(2): 327-338.
Duthie J.F. (1929). Flora of the upper Gangetic plain, and of the adjacent Siwalik and sub- Himalayan tracts (Vol. 1). Superintendent of Government Printing.
Elith J., Graham H.C., Anderson P., Dudík R., Ferrier M., Guisan S., Hijmans A.J., Huettmann R., Leathwick F.R., Lehmann J.A. and Li J. (2006). Novel methods improve prediction of species' distributions from occurrence data. Ecography, 29(2): 129-151.
Finch D.M., Butler J.L., Runyon J.B., Fettig C.J., Kilkenny F.F., Jose S., Frankel S.J., Cushman S.A., Cobb R.C., Dukes J.S. and Hicke J.A. (2021). Effects of climate change on invasive species. Invasive species in forests and rangelands of the United States: a comprehensive science synthesis for the United States forest sector. 57-83.
Ganglo J.C. (2023). Ecological niche model transferability of the white star apple (Chrysophyllum albidum G. Don) in the context of climate and global changes. Scientific Report, 13: 2430.
Garai S., Mishra Y., Malakar A., Kumar R., Singh R., Sharma J. and Tiwari S. (2023). Buchanania cochinchinensis (Lour.) MR Almedia habitat exhibited robust adaptability to diverse socioeconomic scenarios in eastern India. Research Square.(1).
Graham C.H. and Hijmans R.J. (2006). A comparison of methods for mapping species ranges and species richness. Global Ecology and Biogeography, 15: 578–587.
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. http://dx.doi.org/10.1002/joc.1276
IPCC (2022). Provisional State of the Global Climate. https://story maps. arcgis. com/ stories/5417c d9148 c248c 0985a 5b6d0 28b 02 77, Accessed 23rd December 2022.
IUCN (2001). IUCN Red List Categories and Criteria: Version 3.1. IUCN Species Survival Commission. IUCN, Gland, Switzerland and Cambridge, UK: 30.
Jackson M.L. (1973). Soil chemical analysis. Prentice Hall of India Private Ltd. New Delhi.
Kanjilal P.C. (1933). A forest flora of Pilibhit, Oudh, Gorakhpur and Bundelkhand, Allahabad. Govt. Printing Press Allahabad.
Kumar S. and Stohlgren T.J. (2009). Maxent modeling for predicting suitable habitat for threatened and endangered tree Canacomyrica monoticola in New Caledonia. Journal of Ecology and Natural Environment, 1(4): 94–98.
Lobo J.M., Jimenez-Valverde A. and Real R. (2008). AUC: a misleading measure of the performance of predictive distribution models. Global Ecological Biogeography, 17: 145–151. https://doi.org/10.1111/j.1466- 8238.2007.00358.x
Malakar A., Sahoo H., Sinha A. and Kumar A. (2023). Necessity of genetic diversity study and conservation practices in chironji (Buchanania cochinchinensis (Lour.) MR Almedia). Environment Conservation Journal, 24(1): 253-260.
Martinez I., Carreno F., Escudero A. and Rubio A. (2006). Are threatened lichen species well protected in Spain? Effectiveness of a protected areas network. Biological Conservation, 133(4): 500–511.
Mathur M., Mathur P. and Purohit H. (2023). Ecological niche modelling of a critically endangered species Commiphora wightii (Arn.) Bhandari using bioclimatic and non-bioclimatic variables. Ecological Process, 12: 8.
Mehta M. (2012). Conservation of chironji and cultivation of offseason rainfed tomato. Current Science, 102(2): 158.
Metson A.J. (1956). Methods of chemical analysis for soil survey samples. Department. Sci. Md. Res. Soil Bur., 12.
Mishra S.N., Gupta H.S. and Kulkarni N. (2021a). Impact of climate change on the distribution of Sal species. Ecological Informatics, 61: 101244.
Mishra S.N., Kumar D., Kumar B. and Tiwari S. (2021b). Assessing impact of varying climatic conditions on distribution of Buchanania cochinchinensis in Jharkhand using species distribution modeling approach. Current Research in Environmental Sustainability, 3: 100025 https://doi.org/10.1016/j.crsust.2021.100025.
Olsen S., Cole C., Watanabe F. and Dean L. (1954). Estimation of available phosphorus in soils by extraction with sodium bicarbonate. USDA Circular Nr 939, US Gov. Print. Office, Washington, D.C.
Ortega-Huerta M.A. and Peterson A.T. (2004). Modelling spatial patterns of biodiversity for conservation prioritization in Northeastern Mexico. Diversity and Distributions, 10: 39-54
Padalia H., Srivastava V. and Kushwaha S.P.S. (2014). Modeling potential invasion range of alien invasive species, Hyptis suaveolens (L.) Poit. in India: comparison of MaxEnt and G A R P. E c o l o g i c a l I n f o r m a t i c s , 2 2 : 3 6 – 4 3 . https://doi.org/10.1016/j.ecoinf.2014.04.002
Pal A.K., Vaishnav V., Meena B., Pandey N. and Rana T.S. (2020). Adaptive fitness of Sapindus emarginatus Vahl populations towards future climatic regimes and the limiting factors of its distribution. Scientific Reports, 10: 380| https://doi.org/10.1038/s41598-020-60219-8.
Panda R.M., Behera M.D. and Roy P.S. (2018). Assessing distributions of two invasive species of contrasting habits in future climate. Journal of Environmental Management, 213: 478–488. https://doi.org/10.1016/j.jenvman.2017.12.053.
Pearson R.G. (2007). Species distribution modelling for conservation educators and practitioners. Synthesis. American Museum of Natural History. http://ncep.amnh.org.
Peterson A.T. (2006). Uses and requirements of ecological niche models and related distributional models.Biodiversity Informatics, https://doi.org/10.17161/bi.v3i0.29
Phillips S.J., Dudik M. and Schepire R.E. (2022). Maxent software for modeling species niches and distributions (version 3.4.4). https: //biodiversityinformatics.amnh.org/ open_source/maxent/. Accessed on 10 October 2022.
Prasad S. (2020). Chironji (Buchanania lanzan): A retreating valuable resource of central India. International Journal of Bioresource Science, 7(1): 01–04.
Rajput B.S., Gupta D., Kumar S., Singh K. and Tiwari C. (2018). Buchanania lanzan Spreng (Chironji): A vulnerable multipurpose tree species in Vindhyan region. Journal of Pharmacognosy and Phytochemistry, 7(5): 833-836.
Ray R., Gururaja K.V. and Ramchandra T.V. (2011). Predictive distribution modeling for rare Himalayan medicinal plant Berberis aristata DC. Journal of Environmental Biology, 32(6): 725.
Sara R., Weiskopf A., Madeleine A., Rubenstein Lisa G. Crozier b., Sarah Gaichas C., Roger Griffis D., Jessica E., Halofsky E., Kimberly J.W., Hyde F., Toni Lyn Morelli G., Jeffrey T., Morisette H., Roldan C., Muñoz Pershing A.J., Peterson D.L., Rajendra Poudel R., Staudinger M.D., Sutton-Grier A.E., Thompson L., Vose J., Weltzin J.F. and Hyte K.P. (2020). Climate change effects on biodiversity, ecosystems, ecosystem services, and natural resource management in the United States, Science of the Total environment, 733: 137782
Saran S. (2015). New Room to Manoeuvre: An Indian Approach to Climate Change. London: Global Policy and Observer Research Foundation.
Satya N. (2010). Changing tree diversity of Bundelkhand Region (UP) India. Indian Journal of Forestry, 33(2): 235-243.
Thakur K.K., Bhat P., Kumar A., Ravikanth G. and Saiki P. (2022). Distribution mapping of Bauhinia vahlii Wight & Arn. in India using ecological niche modelling. Tropical Ecology, 63: 286–299.
Troup R.S. (1921). The Silviculture of Indian Trees, Vol. I-III; Clarendon Press, Oxford.
Verma D.M., Balakrishnana N.P. and Dixit R.D. (1993). Flora of Madhya Pradesh Vol. I, Botanical Survey of India, Calcutta.
Verma M. and Pal A. (2019). Species diversity, dominance and equitability in tropical dry deciduous forest of Bundelkhand region, India. Biodiversity International Journal, 3(4): 145-154.
Walkley A. and Black C.A. (1934). An examination of digestion methods for determining soil organic matter and a proposed modification of the chromic acid titration method. Soil Science, 37: 29- 38.
West J.M., Julius S.H., Kareiva P., Enquist C., Lawler J.J., Petersen B., Johnson A.E. and Shaw M.R. (2009). U.S. natural resources and climate change: concepts and approaches for management adaptation Environmental Management, 44: 1001- 1021, 10.1007/s00267-009-9345-1
Young N., Carter L. and Evangelista P. (2011). A MaxEnt model v3. 3.3 e tutorial (ArcGIS v10). Natural Resource Ecology Laboratory, Colorado State University and the National Institute of Invasive Species Science.
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