Predicting Tachypleus gigas Spawning Distribution with Climate Change in Northeast Coast of India
Horseshoe Crab Research Unit, Department of Biosciences and Biotechnology, Fakir Mohan University, Balasore, India
Association of Biodiversity Conservation and Research, Devine Colony, 756001 Balasore,Odisha, India.
Centre of Excellence, Khallikote University, Berhampur, 761008 Ganjam, Odisha, India
Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia.
Department of Remote Sensing and GIS, North Orissa University, Takatpur, 757003, Odisha, India.
Malda Polytechnic, West Bengal State Council of Technical Education, 73210,West Bengal, India.
Department of Food Technology and Biochemical Engineering, Faculty of Engineering and Technology, Jadavpur University, Jadavpur, Kolkata 700032, West Bengal, India
Faculty of Fisheries and Food Science, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia.
School of Biotechnology, GIET University, Gunupur 765022, Odisha, India
University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India.
INOCEM Research Station, Kulliyyah of Science, International Islamic University Malaysia, 25200 Kuantan, Pahang, Malaysia.
Institute of Tropical Biodiversity and Sustainable Development, University Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia
Forensic Science Programme, School of Health Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian 16150, Kelantan, Malaysia
Data publikacji: 01-03-2021
Autor do korespondencji
Siddhartha Pati   

Centre of Excellence, Khallikote University, Berhampur, 761008 Ganjam, Odisha, India
J. Ecol. Eng. 2021; 22(3):211-220
Species distribution models are used to predict ideal grounds, species range, and spatial shifts in an ecology over a span of time. With an aim to use Maximum entropy model (MaxEnt), presence records and pseudo-absence points are used to predict the Tachypleus gigas spawning activity for 2030 and 2050 in northeast India. The bearings of sixty T. gigas spawning grounds identified in 2018 were inserted into ArcGIS v.10.1. Meanwhile, 19 environment variables were inserted into MaxEnt v. 3.3.3, before the model performance was tested using receiver operational characteristics and area under curve (AUC). With an AUC of 0.978,85% was achieved for isothermality (bio3) and 74% for temperature (x̄= average) of the wettest quarter (bio8), all of which were inserted into ArcGIS to produce spatial maps. Although we learnt that T. gigas are still spawning in Odisha in 2030 and 2050, their distribution range is predicted to shrink due to the coastal morphology change. The climate conditions in Odisha revolve with the monsoon, summer and winter seasons from which, temperature variations do not only influence the annual absence/presence of spawning adults but also, the survival of juveniles in natal beaches. The use of MaxEnt offers novelty to predict population sustainability of arthropods characterized by oviparous spawning (horseshoe crabs, turtles, terrapins and crocodiles) through which, the government of India can take advantage of the present data to initiate the coastal rehabilitation measures to preserve their spawning grounds.
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