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Sustainability 2017, 9(5), 805; doi:10.3390/su9050805

Climate Variability and Mangrove Cover Dynamics at Species Level in the Sundarbans, Bangladesh

1
School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia
2
Geography and Environmental Studies, University of Rajshahi, Rajshahi 6205, Bangladesh
*
Author to whom correspondence should be addressed.
Academic Editor: Vincenzo Torretta
Received: 14 February 2017 / Revised: 3 May 2017 / Accepted: 10 May 2017 / Published: 11 May 2017
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Abstract

Mangrove ecosystems are complex in nature. For monitoring the impact of climate variability in this ecosystem, a multidisciplinary approach is a prerequisite. Changes in temperature and rainfall pattern have been suggested as an influential factor responsible for the change in mangrove species composition and spatial distribution. The main aim of this study was to assess the relationship between temperature, rainfall pattern and dynamics of mangrove species in the Sundarbans, Bangladesh, over a 38 year time period from 1977 to 2015. To assess the relationship, a three stage analytical process was employed. Primarily, the trend of temperature and rainfall over the study period were identified using a linear trend model; then, the supervised maximum likelihood classifier technique was employed to classify images recorded by Landsat series and post-classification comparison techniques were used to detect changes at species level. The rate of change of different mangrove species was also estimated in the second stage. Finally, the relationship between temperature, rainfall and the dynamics of mangroves at species level was determined using a simple linear regression model. The results show a significant statistical relationship between temperature, rainfall and the dynamics of mangrove species. The trends of change for Heritiera fomes and Sonneratia apelatala show a strong relationship with temperature and rainfall, while Ceriops decandra shows a weak relationship. In contrast, Excoecaria agallocha and Xylocarpus mekongensis do not show any significant relationship with temperature and rainfall. On the basis of our results, it can be concluded that temperature and rainfall are important climatic factors influencing the dynamics of three major mangrove species viz. H. fomes, S. apelatala and C. decandra in the Sundarbans. View Full-Text
Keywords: sundarbans; landsat; mangroves; simple linear regression; remote sensing sundarbans; landsat; mangroves; simple linear regression; remote sensing
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Ghosh, M.K.; Kumar, L.; Roy, C. Climate Variability and Mangrove Cover Dynamics at Species Level in the Sundarbans, Bangladesh. Sustainability 2017, 9, 805.

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