Abstract
Cyclone disturbances can cause significant damage to forest vegetation. The Sundarbans spreading across Bangladesh and India, the world’s largest mangrove forest, is frequently exposed to cyclones of various magnitudes. However, the extent and pattern of forest disturbances caused by cyclones in the Sundarbans (both parts) remain poorly understood, and a long-term dataset focused on cyclones and forest disturbances is required. In this study, Google Earth Engine and Landsat images were used to evaluate changes in the normalized difference vegetation index (NDVI) before versus after 21 cyclones that occurred between 1988 and 2016. Supervised classification successfully classified the forest area with an overall accuracy of 86% and Kappa coefficient of 0.80. The percentage of affected forest area (i.e., the area that exhibited negative changes in NDVI values following a cyclone) ranged from 0.5 to 24.1% of the total forest area. Of the 21 focal cyclones, 18 affected less than 10% of the forest area, while two cyclones, Sidr in 2007 (category H5) and a cyclone in 1988 (category H3), affected 24.1% and 20.4%, respectively. Among the cyclone parameters (i.e., maximum wind speed, distance from the Sundarbans, and river water level), wind speed was significantly and positively correlated with affected forest area. Wind speed and affected forest area were nonlinearly related indicated by the piecewise linear regression and cubic regression. The piecewise model estimated a threshold point, suggesting that wind speed had little effects below a breakpoint of 101.9 km h−1. Our analyses, based on a 29-year dataset, suggest that, although the region experienced cyclones almost every year, only the largest cyclones (i.e., in the H3 category or higher) affected 20% or more of the mangrove forest area, and these occurred around once per 7- to 12-year period. Trees with broken stems or uprooted canopies as a result of strong winds are likely to contribute to the reduction in NDVI in the aftermath of a cyclone. From a long-term perspective, such rare yet intense cyclones may have a significant effect on regeneration and species composition in the Sundarbans mangrove forest. Since previous studies only focused on a few cyclones, our results based on 21 cyclones will certainly help better understanding of the effects of cyclones on mangrove forest disturbance.
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References
Akhter M, Iqbal Z, Chowdhury RM (2008) ASTER imagery of forest areas of Sundarban damaged by cyclone Sidr. ISME/GLOMIS Electron J 6(1):1–3
Aziz A, Paul A (2015) Bangladesh Sundarbans: present status of the environment and biota. Diversity 7(3):242–269. https://doi.org/10.3390/d7030242
Azmy MM, Hashim M, Numata S, Hosaka T, Noor NSM, Fletcher C (2016) Satellite-based characterization of climatic conditions before large-scale general flowering events in Peninsular Malaysia. Sci Rep 6:32329
Baldwin AH, Platt WJ, Gathen KL, Lessmann JM, Rauch TJ (1995) Hurricane damage and regeneration in fringe mangrove forests of southeast Florida, USA. J Coas Res SI 21:169–183
Bhowmik AK, Cabral P (2013) Cyclone Sidr impacts on the Sundarbans floristic diversity. Earth Sci Res 2(2):62
Chambers JQ, Fisher JI, Zeng H, Chapman EL, Baker DB, Hurtt GC (2007) Hurricane Katrina's carbon footprint on US Gulf Coast forests. Science 318(5853):1107–1107
Cornforth WA, Fatoyinbo TE, Freemantle TP, Pettorelli N (2013) Advanced land observing satellite phased array type L-band SAR (ALOS PALSAR) to inform the conservation of mangroves: Sundarbans as a case study. Remote Sens 5(1):224–237
Dutta D, Das PK, Paul S, Sharma JR, Dadhwal VK (2015) Assessment of ecological disturbance in the mangrove forest of Sundarbans caused by cyclones using MODIS time-series data (2001–2011). Nat Hazards 79(2):775–790
Everham EM, Brokaw NV (1996) Forest damage and recovery from catastrophic wind. Bot Rev 62(2):113–185
Foster DR, Boose ER (1992) Patterns of forest damage resulting from catastrophic wind in central New England, USA. J Ecol 80(1):79–98
Francis JK, Gillespie AJ (1993) Hurricane Hugo, 1989. J Arboricult 19(6):368
Giri C, Pengra B, Zhu Z, Singh A, Tieszen LL (2007) Monitoring mangrove forest dynamics of the Sundarbans in Bangladesh and India using multi-temporal satellite data from 1973 to 2000. Estuarine Coas Shelf Sci 73(1–2):91–100
GOB (2008) Super Cyclone Sidr 2007: impacts and strategies for interventions. Ministry of Food and Disaster Management. Bangladesh Secretariat, Dhaka, Bangladesh. https://www.preventionweb.net/english/professional/policies/v.php?id=9470. Accessed on 02 Dec 2018
Gorelick N, Hancher M, Dixon M, Ilyushchenko S, Thau D, Moore R (2017) Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sens Environ 202:18–27
Hansen MC, Potapov PV, Moore R, Hancher M, Turubanova SAA, Tyukavina A et al (2013) High-resolution global maps of 21st-century forest cover change. Science 342(6160):850–853
Han X, Feng L, Hu C, Kramer P (2018) Hurricane-induced changes in the everglades national park mangrove forest: landsat observations between 1985 and 2017. J Geophys Res Biogeosci 123(11):3470–3488
Hogarth PJ (2015) The biology of mangroves and seagrasses. Oxford University Press, Oxford
Hoque MAA, Phinn S, Roelfsema C, Childs I (2016) Assessing tropical cyclone impacts using object-based moderate spatial resolution image analysis: a case study in Bangladesh. Int J Remote Sens 37(22):5320–5343
Hossain M, Begum M (2011) Vegetation of Sundarban mangrove forest after the devastating Cyclone Sidr in Bangladesh. Soc Change 5:72–78
Imbert D (2018) Hurricane disturbance and forest dynamics in east Caribbean mangroves. Ecosphere 9(7):e02231
IMD (2019) Tracks of cyclones and depressions in the Bay of Bengal and Arabian Sea 1891–2018, Electronic version, June 2008
Ishtiaque A, Myint SW, Wang C (2016) Examining the ecosystem health and sustainability of the world's largest mangrove forest using multi-temporal MODIS products. Sci Total Environ 69:1241–1254
Islam MT (2014) Vegetation changes of Sundarbans based on Landsat Imagery analysis between 1975 and 2006. Acta Geogr Debr Landsc Environ Ser 8(1):1
Islam S, Rahman M, Chakma S (2014) Plant diversity and forest structure of the three protected areas (Wildlife Sanctuaries) of Bangladesh Sundarbans: current status and management strategies. Mangrove ecosystems of Asia. Springer, New York, pp 127–152
Kamruzzaman M, Ahmed S, Osawa A (2017) Biomass and net primary productivity of mangrove communities along the Oligohaline zone of Sundarbans, Bangladesh. For Ecosyst 4(1):16
Kamruzzaman M, Ahmed S, Paul S, Rahman MM, Osawa A (2018) Stand structure and carbon storage in the oligohaline zone of the Sundarbans mangrove forest, Bangladesh. For Sci Technol 14(1):23–28
Knapp KR, Kruk MC, Levinson DH, Diamond HJ, Neumann CJ (2010) The International Best Track Archive for Climate Stewardship (IBTrACS): Unifying tropical cyclone best track data. Bull Am Meteor Soc 91:363–376. https://doi.org/10.1175/2009BAMS2755.1
Lee MF, Lin TC, Vadeboncoeur MA, Hwong JL (2008) Remote sensing assessment of forest damage in relation to the 1996 strong typhoon Herb at Lienhuachi Experimental Forest, Taiwan. For Ecol Manag 255(8–9):3297–3306
Lugo AE (2008) Visible and invisible effects of hurricanes on forest ecosystems: an international review. Aust Ecol 33(4):368–398
Muggeo VM (2008) Segmented: an R package to fit regression models with broken-line relationships. R News 8(1):20–25
Negrón-Juárez R, Baker DB, Zeng H, Henkel TK, Chambers JQ (2010) Assessing hurricane-induced tree mortality in US Gulf Coast forest ecosystems. J Geophy Res Biogeosci 115(G4):G04030
Negrón-Juárez R, Baker DB, Chambers JQ, Hurtt GC, Goosem S (2014) Multi-scale sensitivity of Landsat and MODIS to forest disturbance associated with tropical cyclones. Remote Sens Environ 140:679–689
Parker G, Martínez-Yrízar A, Álvarez-Yépiz JC, Maass M, Araiza S (2018) Effects of hurricane disturbance on a tropical dry forest canopy in western Mexico. For Ecol Manag 426:39–52
Paul B, Rashid H (2016) Climatic hazards in coastal Bangladesh: non-structural and structural solutions. Butterworth-Heinemann, Oxford
Paul AK, Ray R, Kamila A, Jana S (2017) Mangrove degradation in the Sundarbans. In: Finkl C, Makowski C (eds) Coastal wetlands: alteration and remediation. Springer, Cham, pp 357–392
Peierls BL, Christian RR, Paerl HW (2003) Water quality and phytoplankton as indicators of hurricane impacts on a large estuarine ecosystem. Estuaries 26(5):1329–1343
R Core Team (2014). R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. https://www.R-project.org
Rahman LM (2000) The Sundarbans: a unique wilderness of the world. In: USDA Forest Service Proceedings RMRS-P-15, vol 2, pp 143–148.
Rahman MM, Rahman MM, Islam KS (2010) The causes of deterioration of Sundarban mangrove forest ecosystem of Bangladesh: conservation and sustainable management issues. Aquacult Aqua Conserv Legis Int J Bioflux Soc (AACL Bioflux) 3(2):77–90
Rahman S, Rahman H, Shahid S, Khan RU, Jahan N, Ahmed ZU et al (2017) The impact of cyclone Aila on the Sundarban forest ecosystem. Int J Ecol Dev 32(1):88–97
Reddy CS, Pasha SV, Jha CS, Diwakar PG, Dadhwal VK (2016) Development of national database on long-term deforestation (1930–2014) in Bangladesh. Global Planet Change 139:173–182
Roy DP, Wulder MA, Loveland TR, Woodcock CE, Allen RG, Anderson MC et al (2014) Landsat-8: Science and product vision for terrestrial global change research. Remote Sens Environ 145:154–172
Solomon, S., Qin, D., Manning, M., Averyt, K., & Marquis, M. (Eds.). (2007). Climate change 2007-the physical science basis: Working group I contribution to the fourth assessment report of the IPCC (Vol. 4). Cambridge University Press, Cambridge
Tanaka K (2008) Effectiveness and limitation of the coastal vegetation for storm surge disaster mitigation. Investigation report on the storm surge disaster by Cyclone Sidr in 2007, Bangladesh. Published by the Investigation Team of Japan Society of Civil Engineering. URL: https://www.jsce.or.jp/report/46/files/Bangladesh_Investigation.pdf. Accessed on 02 Dec 2018
Uddin, M. S., Shah, M. A. R., Khanom, S., & Nesha, M. K. (2013). Climate change impacts on the Sundarbans mangrove ecosystem services and dependent livelihoods in Bangladesh. Asian J Conserv Biol s2(2), 152–156.
Van Bloem SJ, Murphy PG, Lugo AE, Ostertag R, Costa MR, Bernard IR, Mora MC (2005) The influence of hurricane winds on caribbean dry forest structure and nutrient pools 1. Biotropica J Biol Conserv 37(4):571–583
Vandermeer J, de la Cerda IG (2004) Height dynamics of the thinning canopy of a tropical rain forest: 14 years of succession in a post-hurricane forest in Nicaragua. For Ecol Manag 199(1):125–135
Walker JJ, De Beurs KM, Wynne RH, Gao F (2012) Evaluation of Landsat and MODIS data fusion products for analysis of dryland forest phenology. Remote Sens Environ 117:381–393
Wang H, Hall CAS (2004) Modeling the effects of Hurricane Hugo on spatial and temporal variation in primary productivity and soil carbon and nitrogen in the Luquillo Experimental Forest Puerto Rico. Plant Soil 263(1):69–84
Xi W, Peet RK, Urban DL (2008) Changes in forest structure, species diversity and spatial pattern following hurricane disturbance in a Piedmont North Carolina forest, USA. J Plant Ecol 1(1):43–57
Zeng H, Chambers JQ, Negrón-Juárez RI, Hurtt GC, Baker DB, Powell MD (2009) Impacts of tropical cyclones on US forest tree mortality and carbon flux from 1851 to 2000. In: Proceedings of the National Academy of Sciences, pnas-0808914106.
Zhang K, Thapa B, Ross M, Gann D (2016) Remote sensing of seasonal changes and disturbances in mangrove forest: a case study from South Florida. Ecosphere 7(6):e01366
Zhao F, Huang C, Goward SN, Schleeweis K, Rishmawi K, Lindsey MA et al (2018) Development of landsat-based annual US forest disturbance history maps (1986–2010) in support of the North American Carbon Program (NACP). Remote Sensi Environ 209:312–326
Acknowledgements
The authors would like to acknowledge the Ministry of Education, Culture, Sports, Science, and Technology (MEXT), Japan, for providing MSHM with a scholarship. We are also grateful to Drs. Kensuke Kawamura and Rempei Suwa (Japan International Research Center for Agricultural Sciences) and Drs. Md. Kamruzzaman (Khulna University, Bangladesh) for their valuable comments and suggestions regarding this study.
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Mandal, M.S.H., Hosaka, T. Assessing cyclone disturbances (1988–2016) in the Sundarbans mangrove forests using Landsat and Google Earth Engine. Nat Hazards 102, 133–150 (2020). https://doi.org/10.1007/s11069-020-03914-z
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DOI: https://doi.org/10.1007/s11069-020-03914-z