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Impact of changing urban landscapes on forest degradation: A study on a part of Western Ghats, India

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The current research is focused on studying the land use changes in selected sites (total area of 3488 sq. km) of the Uttara Kannada district and the impacts of urbanization of forest degradation. Topographical maps from the Survey of India have been used to mark the study area’s boundary. Forest degradation mapping has been conducted through spatiotemporal analysis of LANDSAT and Google Earth imageries for the years 1989, 2001, 2013, and 2020. The decadal change was evaluated throughout the period to delineate the sites of encroachment. The change analysis revealed that 56.6% of the forest area has remained primarily dense; 6.46% of the area has remained unchanged as agricultural area, while almost 0.95% of the total agricultural area has been converted into built-up land or has become barren. Spatiotemporal change analysis also revealed that, overall, 85.1% of the study area has remained unchanged and 4.7% of the area has changed in some form or other. Ground truthing through Google Earth imageries for various periods reveals an increase in the built-up land along the coastal stretch and the north-eastern part of the region. In some places, agricultural lands have been abandoned, which have then been converted into shrublands. The unorganized growth of built-up land and decrease in the forest and agricultural lands have necessitated extensive fieldwork for developing guidelines for the protection of forest areas and planning of built-up and agricultural lands.

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References

  • AbdelRahman, M. A. E. (2023). An overview of land degradation, desertification and sustainable land management using GIS and remote sensing applications. Rendiconti Lincei Scienze Fisiche e Naturali, 34, 767–808. https://doi.org/10.1007/s12210-023-01155-3

    Article  ADS  Google Scholar 

  • AbdelRahman, M. A. E., Natarajan, A., & Hegde, R. (2015a). Climate and its impact on soil biological degradation using GIS and remote sensing (I): Biological degradation as a result of deterioration of organic matter by climate. Journal of Soil Biology and Ecology, 35(1&2), 192–201.

    Google Scholar 

  • AbdelRahman, M. A. E., Natarajan, A., & Hegde, R. (2015b). Climate and its impact on soil biological degradation using GIS and remote sensing (II): Biological degradation as a result of removing organic matter by water erosion. Journal of Soil Biology and Ecology, 35(1&2), 208–216.

    Google Scholar 

  • AbdelRahman, M. A. E., Natarajan, A., & Hegde, R. (2016a). Assessment of land suitability and capability by integrating remote sensing and GIS for agriculture in Chamarajanagar district, Karnataka, India. The Egyptian Journal of Remote Sensing and Space Science, 19(1), 125–141. https://doi.org/10.1016/j.ejrs.2016.02.001

    Article  Google Scholar 

  • AbdelRahman, M. A. E., Natarajan, A., Srinivasamurty, C. A., & Hegde, R. (2016b). Estimating soil fertility status in physically degraded land using GIS and remote sensing techniques in Chamarajanagar district, Karnataka, India. The Egyptian Journal of Remote Sensing and Space Science, 19(1), 95–108. https://doi.org/10.1016/j.ejrs.2015.12.002

    Article  Google Scholar 

  • AbdelRahman, M. A., Natarajan, A., Srinivasamurthy, C. A., Hegde, R., & Prakash, S. S. (2018a). Assessment of soil quality by using remote sensing and GIS techniques; a case study, Chamrajanagar District, Karnataka India. Acta Scientific Agriculture, 2(1), 5–12.

    Google Scholar 

  • AbdelRahman, M. A., Natarajan, A., Srinivasamurthy, C. A., Hegde, R., & Prakash, S. S. (2018b). Assessment of land degradation using comprehensive geostatistical approach and remote sensing data in GIS-model builder. The Egyptian Journal of Remote Sensing and Space Science, 22(3), 323–334. https://doi.org/10.1016/j.ejrs.2018.03.002

    Article  Google Scholar 

  • Ahenkan, A., Boon, E. (2008). Enhancing food security, poverty reduction and sustainable forest management in Ghana through non-timber forest products farming. Case study of Sefwi Wiawso district, retrieved from April 12, 2022. https://www.researchgate.net/publication/221915219_Improving_the_Supply_Chain_of_Non-Timber_Forest_Products_in_Ghana

  • Aithal, B. H., & Ramachandra, T. V. (2016). Visualization of urban growth pattern in Chennai using geoinformatics and spatial metrics. Journal of the Indian Society of Remote Sensing, 44, 617–633. https://doi.org/10.1007/s12524-015-0482-0

    Article  Google Scholar 

  • Ansari, M. J., Thakur, T. K., Patel, D. K., Dutta, J., Kumar, A., & Kaushik, S. (2020). Assessment of decadal land use dynamics of upper catchment area of Narmada River, the lifeline of Central India assessment of decadal land use dynamics of upper catchment area of Narmada River, the lifeline of Central India. Journal of King Saud University - Science, 33(2), 101322. https://doi.org/10.1016/j.jksus.2020.101322

    Article  Google Scholar 

  • Apps, C., & McLellan, B. (2006). Factors influencing the dispersion and fragmentation of endangered mountain caribou populations. Biological Conservation, 130(1), 84–97. https://doi.org/10.1016/j.biocon.2005.12.004

    Article  Google Scholar 

  • Barua, U., Islam, I., & Ahmed, M. (2020). Integration of earthquake risk- sensitivity into landuse planning : An approach for a local level area at development phase. International Journal of Disaster Risk Reduction, 50(April), 101836. https://doi.org/10.1016/j.ijdrr.2020.101836

    Article  Google Scholar 

  • Bell, J., Batty, M., Ganachaud, A., Gehrke, P., Hobday, A., Hoegh-Guldberg, O., ... & Waycott, M. (2009). Preliminary assessment of the effects of climate change on fisheries and aquaculture in the Pacific. Secretariat of the Pacific Community, Noumea, New Caledonia. Pp 1–15 accessed from Microsoft Word - Preliminary Assessment of the Effects of Climate Change on Fisheries and Aquaculture in the Pacific - final ve (sprep.org)

  • Belton, S., & Stewart, T. S. (2002). Multiple criteria decision analysis. Kluwer Academic Publishers, Massachusetts. https://doi.org/10.1007/s10668-005-7316-0

    Book  Google Scholar 

  • Bera, B., Saha, S., & Bhattacharjee, S. (2020). Forest cover dynamics (1998 to 2019) and prediction of deforestation probability using binary logistic regression (BLR) model of Silabati watershed, India. Trees, Forests and People, 2, 100034. https://doi.org/10.1016/j.wsee.2022.12.003

    Article  Google Scholar 

  • Bhattacharya, R. K., Chatterjee, N. D., & Das, K. (2020). Groundwater for sustainable development An integrated GIS approach to analyze the impact of land use change and land cover alteration on ground water potential level : A study in Kangsabati. Groundwater for Sustainable Development, 11(March), 100399. https://doi.org/10.1016/j.gsd.2020.100399

    Article  Google Scholar 

  • Daigle, P. (2010). A summary of the environmental impacts of roads, management responses, and research gaps. A literature review. BC Journal of Ecosystems and Management, 10(3), 65–89. https://doi.org/10.22230/jem.2010v10n3a38

  • Dasgupta, R., Shaw, R. (2016). Sustainable development and coastal disasters: Linking policies to practices. In: J. Uitto, R. Shaw (eds), Sustainable Development and Disaster Risk Reduction. Disaster Risk Reduction (1st ed., pp. 161–172). Springer, Tokyo, https://doi.org/10.1007/978-4-431-55078-5_10

  • El Baroudy, A. A., & Moghanm, F. S. (2014). Combined use of remote sensing and GIS for degradation risk assessment in some soils of the Northern Nile Delta. The Egyptian Journal of Remote Sensing and Space Science, 17(1), 77–85. https://doi.org/10.1016/j.ejrs.2014.01.001

    Article  Google Scholar 

  • Food and Agriculture Organization (FAO). (1997). Wildlife utilization and food security in Africa (p. 8). Food and Agriculture Organization of the United Nations.

    Google Scholar 

  • Jha, C., Goparaju, L., Tripathi, A., et al. (2005). Forest fragmentation and its impact on species diversity: an analysis using remote sensing and GIS. Biodivers Conserv, 14, 1681–1698. https://doi.org/10.1007/s10531-004-0695-y

    Article  Google Scholar 

  • Kanninen, M., Murdiyarso, D., Seymour, F., Angelsen, A., Wunder, S., German, L., (2007). Do trees grow on money? The implications of deforestation research for policies to promote REDD. Center for International Forestry Research, Bogor,  (Vol. 4). https://doi.org/10.17528/cifor/002347

  • Kazemi, H., Sadeghi, S., & Akinci, H. (2016). Developing a land evaluation model for faba bean cultivation using geographic information system and multi-criteria analysis (A case study: Gonbad-Kavous region, Iran). Ecological Indicators, 63, 37–47. https://doi.org/10.1016/j.ecolind.2015.11.021

    Article  Google Scholar 

  • Keshtkar, H., & Voigt, W. (2016). A spatiotemporal analysis of landscape change using an integrated Markov chain and cellular automata models. Modeling Earth Systems and Environment, 2(1), 1–13. https://doi.org/10.1007/s40808-015-0068-4

    Article  Google Scholar 

  • Manjunathaa, B. R., Balakrishna, K., Shanka, R., Thiruvengadasamib, A., Prabhub, R. K., Mahalingamb, T. R., & Iyengar, M. A. R. (1996). The transport of elements from soils around Kaiga to the Kali river, southwest coast of India. Science of the Total Environment, 191(1–2), 109–118. https://doi.org/10.1016/0048-9697(96)05252-7

    Article  ADS  Google Scholar 

  • Mbuvi, D., & Boon, E. (2008). The livelihood potential of non-wood forest products. The case of Mbooni Division in Makueni District Kenya. Environment Development and sustainability, 11, 989–1004. https://doi.org/10.1007/s10668-008-9163-2

    Article  Google Scholar 

  • Mendoza, G. A., & Martins, H. (2006). Multi-criteria decision analysis in natural resource management: A critical review of methods and new modelling paradigms. Forest Ecology and Management, 230(1), 1–22. https://doi.org/10.1016/j.foreco.2006.03.023

    Article  Google Scholar 

  • Neumann, R.P., Hirsch, E. (2000). Commercialisation of non-timber forest products. Review and analysis of research. Center for International Forestry Research, Bogor, Indonesia, (pp. 1–187). Retrieved from April 12, 2022. https://www.cifor.org/publications/pdf_files/mgntfp3.pdf

  • Omeja, P. A., Obua, J., Rwetsiba, A., & Chapman, C. A. (2012). Biomass accumulation in tropical lands with different disturbance histories. Contrasts within one landscape and across regions. Forest Ecology and Management, 269, 293–300. https://doi.org/10.1016/j.foreco.2011.12.044

    Article  Google Scholar 

  • Panigrahy, R. K., Kale, M. P., Dutta, U., Mishra, A., Banerjee, B., & Singh, S. (2010). Forest cover change detection of Western Ghats of Maharashtra using satellite remote sensing based visual interpretation technique. Current Science, 657–664. Retrived from April 12, 2022. https://www.jstor.org/stable/24111818

  • Prakasam, C., Aravinth, R., Sanjeevi Prasad, S. (2022a). Long-term shoreline change analysis and impact of hard coastal structures on shorelines—a case study of the Nagapattinam-Ramanathapuram shoreline. In: A. Saikia, P. Thapa (eds), Environmental change in South Asia. Springer, Cham. https://doi.org/10.1007/978-3-030-47660-1_6

  • Prakasam, C., Aravinth, R., Prasad, S.S., Murugesan, J. (2022b). Decadal monitoring of coastline shifts and recommendation of non-structural protection measures along the coast of Rameshwaram, Tamil Nadu, India. In: V.S. Kanwar, S.K. Sharma, C. Prakasam (eds), Proceedings of International Conference on Innovative Technologies for Clean and Sustainable Development (ICITCSD – 2021). Springer, Cham. https://doi.org/10.1007/978-3-030-93936-6_29

  • Prakasam, C., Aravinth, R. (2022c). Application of numerical modelling for geomorphological evolution and river bank shifting part of Damodar River. In: R. Jha, V.P. Singh, V. Singh, L.B. Roy, R. Thendiyath (eds), Hydrological modeling. Water Science and Technology Library, vol 109. Springer, Cham. https://doi.org/10.1007/978-3-030-81358-1_28

  • Prizzia, R. (2002). The impact of development and privatization on environmental protection An International Perspective. Environment Development and Sustainability, 4, 315–331. https://doi.org/10.1023/A:1021121232552

    Article  Google Scholar 

  • Ramachandra, T. V., Bharath, S., & Bharath, H. A. (2014). Spatiotemporal dynamics along the terrain gradient of diverse landscape. Journal of Environmental Engineering and Landscape Management, 22(1), 50–63. https://doi.org/10.3846/16486897.2013.808639

    Article  Google Scholar 

  • Ramachandra, T. V., Setturu, B., Rajan, K. S., & Chandran, M. D. S. (2016). Stimulus of developmental projects to landscape dynamics in Uttara Kannada, Central Western Ghats. The Egyptian Journal of Remote Sensing and Space Sciences, 19(2), 175–193. https://doi.org/10.1016/j.ejrs.2016.09.001

    Article  Google Scholar 

  • Ramachandra, T.V., Setturu, B., Bharath, H.A. (2012). Periurban to urban landscape patterns elucidation through spatial metrics. International Journal of Engineering Research and Development. 2(12), 58–81. Retrieved from April 14, 2022. https://wgbis.ces.iisc.ac.in/energy/water/paper/ijerd_periurban/method.htm

  • Rawat, J. S., Biswas, V., & Kumar, M. (2013). Changes in land use/cover using geospatial techniques: A case study of Ramnagar town area, district Nainital, Uttarakhand, India. The Egyptian Journal of Remote Sensing and Space Science, 16(1), 111–117. https://doi.org/10.1016/j.ejrs.2013.04.002

    Article  Google Scholar 

  • Renofalt, B., Jansson, R., & Nilsson, C. (2010). Effects of hydropower generation and opportunities for environmental flow management in Swedish riverine ecosystems. Freshwater Biology, 55(1), 49–67. https://doi.org/10.1111/j.1365-2427.2009.02241.x

    Article  Google Scholar 

  • Rosenberg, D. M., McCully, P., & Pringle, C. M. (2000). Global-scale environmental effects of hydrological alterations introduction. Bioscience, 50(9), 746–751. https://doi.org/10.1641/0006-3568(2000)050[0746:GSEEOH]2.0.CO;2

    Article  Google Scholar 

  • Rosenberg, D.M., Berkes, F., Bodaly, R.A., Hecky, R.E., Kelly, C.A., Rudd, J.W.M. (1997). Large-scale impacts of hydroelectric development. Environmental Reviews, 5, 27–54. https://www.jstor.org/stable/envirevi.5.1.27

  • Saha, S., Bhattacharjee, S., Shit, P. K., Sengupta, N., & Bera, B. (2022). Deforestation probability assessment using integrated machine learning algorithms of Eastern Himalayan foothills (India). Resources, Conservation & Recycling Advances, 14, 200077. https://doi.org/10.1016/j.rcradv.2022.200077

    Article  Google Scholar 

  • Salghuna, N. N., Chandra, P. R., & Kumari, J. A. (2018). The Egyptian Journal of Remote Sensing and Space Sciences Assessing the impact of land use and land cover changes on the remnant patches of Kondapalli reserve forest of the Eastern Ghats, Andhra Pradesh, India. The Egyptian Journal of Remote Sensing and Space Sciences, 21(3), 419–429. https://doi.org/10.1016/j.ejrs.2018.01.005

    Article  Google Scholar 

  • Scoones, I., Melnyk, M., & Pretty, J. N. (1992). The hidden harvest. IIED, London: Wild foods and agricultural systems.

    Google Scholar 

  • Singh, S., Bhardwaj, A., & Verma, V. K. (2020). Remote sensing and GIS based analysis of temporal land use / land cover and water quality changes in Harike wetland ecosystem, Punjab India. Journal of Environmental Management, 262(March), 110355. https://doi.org/10.1016/j.jenvman.2020.110355

    Article  CAS  PubMed  Google Scholar 

  • Stickler, C., Coe, M., Nepstad, D., Fiske, G., Lefebvre, P. (2007). Reducing emissions from deforestation and forest degradation (REDD). Readiness for REDD – a preliminary global assessment of tropical forested land suitability for agriculture. A Report for the United Nations Framework Convention on Climate Change (UNFCCC) Conference of the Parties (COP), Thirteenth Session, 3–14 December 2007, Bali. Woods Hole Research Center, Falmouth, MA

  • Suja, S., Kessarkar, P. M., Fernandes, L. L., Kurian, S., & Tomer, A. (2017). Estuarine, Coastal and Shelf Science Spatial and temporal distribution of metals in suspended particulate matter of the Kali estuary, India. Estuarine, Coastal and Shelf Science, 196, 10–21. https://doi.org/10.1016/j.ecss.2017.06.024

    Article  CAS  ADS  Google Scholar 

  • Taylor, P., Markose, V. J., & Jayappa, K. S. (2011). Hypsometric analysis of Kali River Basin , Karnataka , India , using geographic information system, (May 2015), 37–41. https://doi.org/10.1080/10106049.2011.608438

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Prakasam, C., R, A. Impact of changing urban landscapes on forest degradation: A study on a part of Western Ghats, India. Environ Monit Assess 196, 256 (2024). https://doi.org/10.1007/s10661-024-12379-7

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