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Estimation of gross primary productivity of Indian Sundarbans mangrove forests using field measurements and Landsat 8 Operational Land Imager data

Abstract

Mangroves are considered to be one of the vital coastal ecosystems in the world and Sundarbans is one of the largest blocks of mangrove ecosystem. It covers an area of about 1 mha, of which 60% is located in Bangladesh and the remaining 40% lies in India. For sustainable management of mangrove forests, there is a need to study the health of the mangrove vegetation in terms of their productivity. In the present study, Landsat 8 Operational Land Imager (OLI) surface reflectance data of 2017–18 over Indian Sundarbans, encompassing three seasons (summer, winter and post-monsoon) were used for computing certain spectral/ vegetation indices. Subsequently, a satellite-based vegetation photosynthesis–light use efficiency model was adopted to estimate Gross Primary Productivity (GPP) using the above indices along with in-situ data measured using portable gas exchange system and soil salinity information. The mean GPP value of post monsoon period was found to be higher than the winter and the summer seasons. Furthermore, the mean GPP values were estimated for the different Reserve Forests, islands and localities of Indian Sundarbans. These GPP estimates provide an insight into the mangrove health in terms of their photosynthetic efficiency and carbon sequestration. The reported methodology can be used for estimating primary productivity of other mangrove areas or forests at landscape-level. This study reveals integration of satellite data and in-situ measurements towards assessment of GPP of mangrove forests and thereby serves as one of the major applications in studying mangrove physiology and ecology.

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Acknowledgements

The authors express their sincere gratitude to Director, National Remote Sensing Centre, Hyderabad, Chief General Manager, Regional Centres, NRSC and former General Managers, Regional Remote Sensing Centre-East (RRSC-East) and former Heads, RRSC-East for providing the necessary support and overall encouragement to take up this study. The authors express their thankfulness to the Principal Chief Conservator of Forests (PCCF), Director, Sundarban Biosphere Reserve and other forest officials of West Bengal Forest Department for granting permission for field data collection in the forests. The authors are also grateful to the field supporters for their help during in-situ data collection.

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Correspondence to Tanumi Kumar.

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Supplementary Information

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42965_2022_256_MOESM1_ESM.tif

Supplementary file1 (TIF 23705 KB) Boundaries of different Reserve Forests, islands and localities with mangrove forests overlaid on the TCC of Landsat 8 OLI image)

Supplementary file2 (TIF 314 KB) Bitterlich variable plot method for sampling

42965_2022_256_MOESM3_ESM.tif

Supplementary file3 (TIF 25544 KB) Simple Ratio (SR) outputs for the mangroves of Indian Sundarbans overlaid on the TCC of the respective Landsat images. a 14.04.17; b 16.05.17; c 08.11.17; d 24.11.17 and e 11.01.18

42965_2022_256_MOESM4_ESM.tif

Supplementary file4 (TIF 26037 KB) Fraction of photosynthetically active radiation absorbed by leaf chlorophyll of the canopy (fPARchl) outputs for the mangroves of Indian Sundarbans overlaid on the TCC of the respective Landsat images. a 14.04.17; b 16.05.17; c 08.11.17; d 24.11.17 and e 11.01.18

42965_2022_256_MOESM5_ESM.tif

Supplementary file5 (TIF 24972 KB) Land Surface Water Index (LSWI) outputs for the mangroves of Indian Sundarbans overlaid on the TCC of the respective Landsat images. a 14.04.17; b 16.05.17; c 08.11.17; d 24.11.17 and e 11.01.18

42965_2022_256_MOESM6_ESM.tif

Supplementary file6 (TIF 25797 KB) Water modifier (Wm) outputs for the mangroves of Indian Sundarbans overlaid on the TCC of the respective Landsat images. a 14.04.17; b 16.05.17; c 08.11.17; d 24.11.17 and e 11.01.18

42965_2022_256_MOESM7_ESM.tif

Supplementary file7 (TIF 26095 KB) Light-Use Efficiency (LUE) outputs for the mangroves of Indian Sundarbans overlaid on the TCC of the respective Landsat images. a 14.04.17; b 16.05.17; c 08.11.17; d 24.11.17 and e 11.01.18

42965_2022_256_MOESM8_ESM.tif

Supplementary file8 (TIF 18560 KB) Mangrove community zonations of some of the important Islands and Reserve Forests of Indian Sundarbans

Supplementary file9 (TIF 17254 KB)

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Kumar, T., Das, P.K. Estimation of gross primary productivity of Indian Sundarbans mangrove forests using field measurements and Landsat 8 Operational Land Imager data. Trop Ecol (2022). https://doi.org/10.1007/s42965-022-00256-8

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  • DOI: https://doi.org/10.1007/s42965-022-00256-8

Keywords

  • Gross primary productivity
  • Satellite imagery
  • Sundarbans
  • Vegetation photosynthesis–light use efficiency model