Indian Journal of Geo-Marine Sciences

Open Access Open Access  Restricted Access Subscription Access

Spatio-Temporal Changes in the Godavari Mangroves: A Study Examining Land-Use Change and Sustainable Management


Affiliations
1 Centre for Remote Sensing and Geoinformatics, Sathyabama Institute of Science and Technology, Rajiv Gandhi Road, Jeppiaar Nagar, Sholinganallur, Chennai – 600 119, India
 

Geospatial approaches were used to explore the socio-economic and environmental aspects of land use changes in the mangroves of Godavari, Andhra Pradesh, India. Large-scale changes were discovered through satellite images in mangroves. Socio-economic information was also gathered using GPS and environmental changes were examined and correlated. Additional parameters were recorded, including precipitation, temperature, freshwater flow, geomorphology, and topography to relate to modifications in the Godavari mangroves. The area of mangrove forest rose from 15,024 ha to 19,694 ha over 35 years (1977 to 2012), indicating the success of government and private afforestation measures. A socioeconomic survey in villages showed that 57 % of the population felt that the main reasons for the enhanced mangrove region were restoration activities and natural phenomena, while 37 % thought that the mangrove area had decreased owing to aquaculture, agriculture, illegal harvesting, local consumption, and enhanced industrial activity, while the remaining 6 % thought that the mangrove area is decreased.

Keywords

Afforestation, Aquaculture, Mangroves, Remote sensing, Restoration, Socioeconomics, Wetland
User
Notifications
Font Size

  • Giri C, Recent Advancement in Mangrove Forests Mapping and Monitoring of the World Using Earth Observation Satellite Data, Remote Sens, 13 (4) (2021) p. 563.

  • Maurya K, Mahajan S & Chaube N, Remote Sensing Techniques: Map and monitoring of mangrove ecosystem – a review, Complex Intell Syst, 7 (2021) 2797-2818.

  • Strain E M A, Kompas T, Boxshall A, Kelvin J, Swearer S, et al., Assessing the coastal protection services of natural mangrove forests and artificial rock revetments, Ecosyst Serv, 55 (2022) p. 101429.

  • Hossain M S, Coastal Community Resilience Assessment: Using Analytical Hierarchy Process, In: Climate Change Resilience by Mangrove Ecosystem, edited by M. S. Hossain, (PRDI, Dhaka, Bangladesh), 2009, pp. 1-11.

  • Chan H T, Spalding M, Baba S, Kainuma M, Sarre A, et al. (Eds.), Tropical Forest Update, A newsletter from the International Tropical Timber Organization to promote the conservation and sustainable development of tropical forests, 21 (2) (2012) 1-24.

  • Vaiphasa C, Skidmore A K & De Boer W F, A postclassifier for mangrove mapping using ecological data, ISPRS J Photogramm Remote Sens, 61 (1) (2006) 1-10.

  • Srinivasa Kumar T, Mahendra R S, Nayak S, Radhakrishnan K & Sahu K C, Coastal Vulnerability Assessment for Orissa State, East Coast of India, J Coast Res, 26 (3) (2010) 523-534.

  • Gedan K B, Kirwan M L, Wolanski E, Barbier E B & Silliman B R, The present and future role of coastal wetland vegetation in protecting shorelines: answering recent challenges to the paradigm, Clim Change, 106 (2011) 7-29. https://doi.org/10.1007/s10584-010-0003-7

  • Space Applications Centre – ISRO, Coastal Zones of India (CZI), (Ahmedabad, Ministry of Environment and Forests, Government of India), 2012, pp. 609. https://mahenvis.nic.in/Pdf/Report/report_nrm1.pdf

  • Selvam V, Environmental classifications of mangrove wetlands of India, Curr Sci, 84 (6) (2003) 757-765.

  • Selvam V & Karunagaran V M, Ecology and Biology of Mangroves - Orientation Guide, (M. S. Swaminathan Research Foundation, Chennai, India), 2004, pp. 61.

  • Giesen W, Wulffraat S, Zieren M & Scholten L, Mangrove Guidebook for Southeast Asia, (FAO and Wetlands International, RAP Publication, Bangkok, Thailand), 2006, pp. 186.

  • Jayanthi M, Ravichandran P & Ponniah A G, Status of Mangroves in relation to Brackishwater Aquaculture Development in Tamil Nadu, (Central Institute of Brackishwater Aquaculture, Chennai), 21 (2010), pp. 34.

  • Van L H, Spalding M, Alongi D, Kainuma M, Clusener G M, et al., Securing the Future of Mangroves, a Policy Brief, (UNU-INWEH, UNESCO-MAB with ISME, ITTO, FAO, UNEP-WCMC and TNC), 2012, pp. 53.

  • Kathiresan K & Qasim S Z, Biodiversity of Mangrove Ecosystem, (Hindustan Publishing Corporation, New Delhi, India), 2005, pp. 251.

  • FAO, World Wide Web electronic publication, http://www.aquaculture.tn.nic.in/pdf/FAO%20Aqua41-79.pdf, version (2002).

  • Paez O F, The environmental impact of shrimp aquaculture: causes, effects, and mitigating alternatives, J Environ Manage, 28 (2001) 131-140. https://doi.org/10.1007/s002670010212

  • Dahdouh-Guebas F, Verheyden A, De Genst W, Hettiarachchi S & Koedam N, Four decade vegetation dynamics in Sri Lankan mangroves as detected from sequential aerial photography: a case study in Galle, Bull Mar Sci, 67 (2) (2000) 741-759.

  • Ramachandran S, Sundaramoorthy S, Krishnamoorthy R, Devasenapathy J & Thanikachalam M, Application of remote sensing and GIS to coastal wetland ecology of Tamil Nadu and Andaman and Nicobar group of islands with special reference to mangroves, Curr Sci, 75 (3) (1998) 236-244.

  • Mc Phearson P T & Wallace O C (eds), Remote Sensing Applications to Biodiversity Conservation, (Center for Biodiversity and Conservation of the American Museum of Natural History, New York), 2008, pp. 61.

  • Yang C, Everitt J H, Fletcher R S, Jensen R R & Mausel P W, Evaluating AISA + Hyperspectral Imagery for Mapping Black Mangrove along the South Texas Gulf Coast, Photogramm Eng Remote Sens, 75 (4) (2009) 425-435.

  • Satyanarayana B, Mohamad K A, Idris I F, Husain M L & Dahdouh-Gueba F, Assessment of mangrove vegetation based on remote sensing and ground-truth measurements at Tumpat, Kelantan Delta, East Coast of Peninsular Malaysia, Int J Remote Sens, 32 (6) (2011) 1635-1650.

  • Jayakumar K & Malarvannan S, An assessment of shoreline changes over the Northern Tamil Nadu Coast using open source based WebGIS techniques, J Coast Conserv, 20 (6) (2016) 477–487.

  • Jayakumar K, Selvam V & Prabavathy V R, A WebGISBased Study for Managing Mangroves of Godavari Wetland, Andhra Pradesh, India, J Indian Soc Remote Sens, 47 (2) (2019) 2027–2045.

  • German A J T, Radhika R S R, Dilip Kumar J & Sriganesh J, Assessment of wetland change dynamics of Chennai Coast, Tamil Nadu, India using satellite remote sensing, Indian J Geo-Mar Sci, 48 (08) (2019) 1258-1266.

  • Ramasubramanian R, Gnanappazham L, Ravishankar T & Navamuniyammal M, Mangroves of Godavari - analysis through remote sensing approach, Wetl Ecol Manag, 14 (1) (2006) 29-37.

  • Rahawarin Y, Gandhi Y, Hardiono M, Nugroho J & Manusawai J, Interpretation of Mangrove Ecosystem Dynamics in Bintuni Bay Nature Reserve Using Geographic Information System, Biodiversitas, 9 (2) (2008) 156-159.

  • Jayakumar K, Managing mangrove forests using open source-based WebGIS, In: Coastal management: Global challenges and innovations, edited by Krishnamurthy R R, Jonathan M P, Srinivasalu S & Glaeser B, (Candic Janco: Academic Press), 2019, 301–321.

  • Lillesand T, Kiefer R W & Chipman J, Remote Sensing and Image Interpretation, (John Wiley & Sons, New York), 2014, pp. 735.

  • Selvam V, Eganathan P, Karunagaran V M, Ravishankar T & Ramasubramanian R, Mangrove Plants of Tamil Nadu, (M S Swaminathan Research Foundation, Chennai, India), 2004, pp. 56.

  • Ravishankar T, Gnanappazham L, Ramasubramaniam R, Sridhar D, Navamuniyammal M, et al., Atlas of Mangrove Wetlands of India, Part – II Andhra Pradesh, (M S Swaminathan Research Foundation, Chennai, India), 2004, pp. 136.

  • Andhra Pradesh Remote Sensing Application Centre (APRSAC), Environmental management and monitoring of shrimp culture project, East Godavari District, Andhra Pradesh – land use/land cover, (Hyderabad, India), 1999.

  • ICMAM, Critical Habitat Information System using GIS for Pichavaram mangroves, South India, (Department of Ocean Development, Chennai), Technical report No. 4, 2001.

  • Hong P N & San H T, Mangroves of Vietnam, (IUCN, Bangkok, Thailand), 1993, pp. 173.

  • IPCC, Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, edited by Pachauri R K & Meyer L A, (IPCC, Geneva, Switzerland), 2014, pp. 151.

  • Sandilyan S, Impact of Climate Change on Indian Mangroves: A Review Paper, Glob J Environ Res, 8 (1) (2014) 1-10.

  • Hamilton L S & Snedaker S, Handbook for mangrove area management, In: United Nations Environment Program and East West Center, edited by Honolulu H I, (Environment and Policy Institute), 1984, pp. 123.


Abstract Views: 104

PDF Views: 55




  • Spatio-Temporal Changes in the Godavari Mangroves: A Study Examining Land-Use Change and Sustainable Management

Abstract Views: 104  |  PDF Views: 55

Authors

K. Jayakumar
Centre for Remote Sensing and Geoinformatics, Sathyabama Institute of Science and Technology, Rajiv Gandhi Road, Jeppiaar Nagar, Sholinganallur, Chennai – 600 119, India

Abstract


Geospatial approaches were used to explore the socio-economic and environmental aspects of land use changes in the mangroves of Godavari, Andhra Pradesh, India. Large-scale changes were discovered through satellite images in mangroves. Socio-economic information was also gathered using GPS and environmental changes were examined and correlated. Additional parameters were recorded, including precipitation, temperature, freshwater flow, geomorphology, and topography to relate to modifications in the Godavari mangroves. The area of mangrove forest rose from 15,024 ha to 19,694 ha over 35 years (1977 to 2012), indicating the success of government and private afforestation measures. A socioeconomic survey in villages showed that 57 % of the population felt that the main reasons for the enhanced mangrove region were restoration activities and natural phenomena, while 37 % thought that the mangrove area had decreased owing to aquaculture, agriculture, illegal harvesting, local consumption, and enhanced industrial activity, while the remaining 6 % thought that the mangrove area is decreased.

Keywords


Afforestation, Aquaculture, Mangroves, Remote sensing, Restoration, Socioeconomics, Wetland

References