Journal of Earth Science & Climatic Change
Open Access

Research Article

Explaining Climate Variability Vis-A-Vis Spatio-Temporal Interactions in Bangladeshi Exclusive Economic Zone (BEEZ)

Nidhi Nagabhatla^1,2,3*, Sobhan Kumar Sahu², Altaf Arain M^3,4, Mahfuzul Haque ABM⁵ and Abhijit Mitra⁶

¹United Nations University, Institute for Water Environment and Health (UNU-INWEH), ON, L8P 0A1, Canada

²APEC Climate Center, Busan, South Korea

³School of Geography and Earth Sciences, McMaster University, ON, L8S 4K1, Canada

⁴4McMaster Centre for Climate Change, McMaster University, ON, L8S 4K1, Canada

⁵ The World Fish Center, Dhaka, Bangladesh

⁶Department of Marine Sciences, University of Calcutta, Kolkata, India

*Corresponding Author:

Nidhi Nagabhatla
United Nations University
Institute for Water Environment and Health
(UNU-INWEH), 204-175
Longwood Road South Hamilton
ON L8P 0A1, Canada
Tel no: 1 905 667 5511
Fax: 1 905 6675510
E-mail: nidhi.nagabhatla@unu.edu

Received date: July 25, 2016; Accepted date: July 30, 2016; Published date: August 04, 2016

Citation: Nagabhatla N, Sahu SK, Altaf Arain M, Mahfuzul Haque ABM, Mitra A (2016) Explaining Climate Variability Vis-A-Vis Spatio-Temporal Interactions in Bangladeshi Exclusive Economic Zone (BEEZ). J Earth Sci Clim Change 7:364. doi: 10.4172/2157-7617.1000364

Copyright: © 2016 Nagabhatla N, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

We present an application of time series remote sensing data and climatological information for improved understanding of complexity in the Bangladeshi Exclusive Economic Zone (BEEZ). Three seasonal slots from the annual climate calendar of the temporal slice 1998 to 2009 are selected: December-February [DJF], March-May [MAM] and September-November [SON]) to assess the relationship between marine fish productivity and climate induced variations in a pelagic system. The interdisciplinary approach, explained in two segments, integrates data on climatic variables, oceanography and fish landings. The first segment deals with explanation of spatio-temporal distribution of chlorophyll (Chll-a), derived using Sea-WiFS sensor. This is followed by correlation of Chll-a gradient with marine fish productivity, using a proxy indicator –annual fish landings. The second segment examines the relationship between the Chll-agradient and representative biophysical indicators of the marine environment viz., Sea Surface Temperature [SST] and Sea Surface Height (SSH). The analysis from 1998-2009 indicates decline in Chll-a concentration during SON (0.055 mg/m3), DJF (0.012 mg/m3) and MAM (0.033 mg/m3). Fluctuations in Chll-a is explained in terms of increase in SST’s during DJF and SON and correlation between SST and SSH established in order to compliment the explanation for variability in Chll-a concentration.

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