Applied Ecology and Environmental Sciences
ISSN (Print): 2328-3912 ISSN (Online): 2328-3920 Website: https://www.sciepub.com/journal/aees Editor-in-chief: Alejandro González Medina
Open Access
Journal Browser
Go
Applied Ecology and Environmental Sciences. 2023, 11(3), 99-103
DOI: 10.12691/aees-11-3-4
Open AccessArticle

Predicting Potential Habitat Distribution of Acacia catechu in India

Pragya Sourabh1, , Ritu Patel1 and Vivek Singh1

1Mansarovar Global University, Sehore-466001 (Madhya Pradesh)

Pub. Date: October 30, 2023

Cite this paper:
Pragya Sourabh, Ritu Patel and Vivek Singh. Predicting Potential Habitat Distribution of Acacia catechu in India. Applied Ecology and Environmental Sciences. 2023; 11(3):99-103. doi: 10.12691/aees-11-3-4

Abstract

Acacia catechu, commonly known as Khair, is a multipurpose tree with high social, economic and ecological value. It has been exploited commercially in tannin and Katha industry for decades. Besides its commercial importance, it is equally significant for the people particularly rural communities living in the vicinity of catechu forests, since these people are dependent on this plant to fulfill their day to day need of fuel, fodder, building material and others. Due to their high commercial and social value, Khair forests are susceptible to a high degree of anthropogenic pressure, especially illicit logging. Despite its vast ecological and socio-economic significance, there is a lack of information on its suitable habitat distribution range. Therefore, the present study was carried out to predict the current and future suitable distribution of A. catechu in India using Maxent species distribution model. Output of maxent model reveal that the suitable habitat for distribution is Middle, South west and Northern part of India. Future prediction model for 2050 showed decrease of habitat area. The strongest predictors for the distribution of A. catechu were precipitation of wettest month, precipitation seasonality and max temperature of warmest month. The probability of presence of A. catechu increased with an increase in precipitation of wettest month.

Keywords:
Acacia catechu Maxent habitat distribution

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Figures

Figure of 4

References:

[1]  Lakshmi, T., & Kumar, A.. Preliminary phytochemical analysis & invitro antibacterial activity of Acacia catechu willd Bark against Streptococcus mitis, Streptococcus sanguis & Lactobacillus acidophilus. International Journal of Phytomedicine. 3(4) 579. 2011.
 
[2]  Kumar, D., Thakur, C. L., Bhardwaj, D. R., Sharma, N., Sharma, P., & Sankhyan, N. Biodiversity conservation and carbon storage of Acacia catechu Willd. dominated northern tropical dry deciduous forest ecosystems in north-western Himalaya: Implications of different forest management regimes. Frontiers in Environmental Science, 1638. 2022.
 
[3]  Elith J, Graham CH, Anderson RP, Dudík M, Ferrier S, Guisan A, ... & Zimmermann NE. Novel methods improve prediction of species’ distributions from occurrence data. Ecography. 29(2). 129-151. 2006.
 
[4]  Pearson RG, Raxworthy CJ, Nakamura M, & Townsend Peterson A. Predicting species distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar. Journal of biogeography. 34(1). 102-117. 2007.
 
[5]  Kumar, S., & Stohlgren, T. J. Maxent modeling for predicting suitable habitat for threatened and endangered tree Canacomyrica monticola in New Caledonia. Journal of Ecology and natural Environment 1(4). 94-98. 2009.
 
[6]  Elith J, Phillips SJ, Hastie T, Dudík M, CheeYE & Yates CJ. A statistical explanation of MaxEnt for ecologists. Diversity and distributions. 17(1). 43-57. 2011.
 
[7]  Singh, S., Verma, A. D., & Naik, R. Study on regeneration of tree species in TFRI campus plantations, Jabalpur, Madhya Pradesh. Indian Journal of Tropical Biodiversity. 25(1): 20-30. 2017.
 
[8]  Damaiyani, J., & Prabowo, H. Conservation strategy of a vulnerable species of ‘Rosewood’(Dalbergia latifolia Roxb) by insect pollinator identification. In Journal of Physics: Conference Series (Vol. 1363, No. 1, p. 012005). IOP Publishing. 2019.
 
[9]  Hijmans RJ, Cameron SE, Parra JL, Jones PG & Jarvis A. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology: A Journal of the Royal Meteorological Society. 25(15). 1965-1978. 2005.
 
[10]  Sanchez, A. C., Osborne, P. E., & Haq, N. Climate change and the African baobab (Adansonia digitata L.): the need for better conservation strategies. African Journal of Ecology, 49(2), 234-245. 2011.
 
[11]  Khanum, R., Mumtaz, A. S., & Kumar, S.. Predicting impacts of climate change on medicinal asclepiads of Pakistan using Maxent modeling. Acta Oecologica, 49. 23-31. 2013.
 
[12]  Adhikari, U., Nejadhashemi, A. P., & Herman, M. R. A review of climate change impacts on water resources in East Africa. Transactions of the ASABE. 58(6). 1493-1507. 2015.
 
[13]  Evangelista, P. H., Kumar, S., Stohlgren, T. J., Jarnevich, C. S., Crall, A. W., Norman III, J. B., & Barnett, D. T. Modelling invasion for a habitat generalist and a specialist plant species. Diversity and Distributions 14(5). 808-817. 2008.
 
[14]  Phillips, S. J., Anderson, R. P., & Schapire, R. E. (2006). Maximum entropy modeling of species geographic distributions. Ecological modelling 190(3-4), 231-259.
 
[15]  Phillips, S. J., & Dudík, M. Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography 31(2). 161-175. 2008.
 
[16]  Fielding, A. H., & Bell, J. F. A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental conservation. 24(1), 38-49. 1997.
 
[17]  Swets, J. A. Measuring the accuracy of diagnostic systems. Science. 240(4857), 1285-1293. 1988.
 
[18]  Khanum, R., Mumtaz, A. S., & Kumar, S. Predicting impacts of climate change on medicinal asclepiads of Pakistan using Maxent modeling. Acta Oecologica. 49. 23-31. 2013.