Analysis of the forest covers dynamics in the Samur-Yalama National Park of Azerbaijan

Year 2020, Volume: 6 Issue: 1, 23 - 30, 26.06.2020

Yusif Abiyev Fevzi Karslı Selçuk Gümüş Farid Seyfullayev

https://doi.org/10.33904/ejfe.724022

Cited By: 2

Abstract

Most forests in Azerbaijan are distributed in mountain ecosystems, and lowland forests cover very small area. The biodiversity of Caspian coastal lowlands has come face-to-face with the danger of depletion over the last 100 years. At the present, their main broad-leaved forest example remains in the Samur-Yalama zone. Due to a strong anthropogenic impact, forest-covered areas are decreasing. From this point of view, a comprehensive study of the forests of the Samur-Yalama National Park is of special importance. In the studying of the dynamics of the forest cover, the spectral vegetation indices are main technique. The aim of the research is to analyze the forest covers dynamics by using the Normalized Difference Vegetation Index for the Samur-Yalama National Park of Azerbaijan. For this study, multi-spectral images were obtained from the Landsat 5 TM and 8 OLI program of the United States between 1984-2019 years. According to the analysis, the dynamics of forest cover development show a negative value and gradually replacement of the densely forested areas by sparse forest-shrub vegetation. Although the overall condition of forests has deteriorated in recent years and it has been considered to fit the category of moderately healthy forests. If this decrease will continue with current speed, then next decades’ forests will move towards the weak healthy forests. That is why it needed to increase management, protection and awareness activities.

Keywords

Remote Sensing, Normalized Difference Vegetation Index, Forest, Landsat Images, Change Detection

Supporting Institution

Turkey Research Scholarship Program

Project Number

18AZ004196

Thanks

This research was carried out with the financial support of the Turkish Research Scholarship Program -2019 (№18AZ004196) in Karadeniz Technical University in Turkey and the Central Botanical Garden of Azerbaijan National Academy of Sciences within the PhD Thesis of Yusif Abiyev.

References

• Abbasova, T., 2010. Detection and analysis of changes in desertification in the Caspian Sea Region. MSc. Thesis, Stockholm University, 67 p.
• AL-Obaidey, E., 2019. The study of NDVI fluctuation in southern Iraq (Hor Ibn Najim) using remote sensing data. Al-Mustansiriyah Journal of Science. 30(1):1-6.
• Amanova, S., Ismayilov, M., Guliyeva, I., 2019. Investigation of The Dynamics of Landscapes on The Basis of Vegetation Indication (Sample Area along Kura River). Ankara Üniversitesi Çevrebilimleri Dergisi, 7(2):14-25.
• Arnegger, J., Dieterich, T., Rodina, V., 2014. Local awareness, acceptance, and tourism development: challenges and opportunities for protected area management in post-Soviet countries-the Samur-Yalama National Park, Azerbaijan. In: Proc. of the 7th International Conference on Monitoring and Management of Visitors in Recreational and Protected Areas. 20-23 August, Estonia. pp.148-150.
• Arlington, V., 2010. Biodiversity Analysis Update for Azerbaijan, United States Agency for International Development, Vol. I/II. 28 p.
• Asadov, K.S., Mammadov, F.M., Sadikhov, S.A., 2008. Dendroflora and forests of the north-eastern part of the Greater Caucasus. Baku State University, Baku. 274 p.
• Asadova, K.K., Abdiyeva, R.T., Mehdiyeva, N.P., Ali-zade, V.M., 2019. Forest Monitoring of Khachmaz District of Azerbaijan, Principles, and Methods. Biodiversity Conservation Materials, VII International Scientific Conference. 158-159.
• Asam, S., Da Ponte, E., Köstl, T., Wuttej, D., Abbasov, S., Köppler, M., 2019. Mapping Grassland Extent and Degradation in Azerbaijan. ESA Living Planet Symposium, 13-17 May, Mailand, Italy.
• Atlas of Ecology., 2009. Azerbaijan Republic, Baku Cartography Facility, Baku, 156 p.
• Bayramov, E., Schlager, P., Kada, M., Buchroithner, M., Bayramov, R., 2019. Quantitative assessment of climate change impacts onto predicted erosion risks and their spatial distribution within the land cover classes of the Southern Caucasus using GIS and remote sensing. Modeling Earth Systems and Environment. 5:659-667.
• Chouhan, R., Rao, N., 2012. Vegetation detection in multispectral remote sensing images: protective Role-analysis of coastal vegetation in 2004 Indian Ocean Tsunami. Geo-Information for Disaster Management”, Procedia Technology, 6:612 – 621.
• Dieterich, T., 2012. Report on Land Use and Rangeland Management in the future Samur Yalama National Park (Azerbaijan) and its support zone. 50 p. 10.13140/RG.2.2.17847.68005.
• Fescenko, A., Wohlgemuth, T., 2017. Spatio-temporal analyses of local biodiversity hotspots reveal the importance of historical land-use dynamics, Biodiversity Conservation, 26: 2401.
• Guliyev, F.A., Babayev, K.Y., Karimov, I.J., Tahirov R.I., Karimov R.T., 2015. The influence of anthropogenic factors on the soil and vegetative cover in the south-east part of Azerbaijan on the basis of space images. Annals of Agrarian Science 13(2).
• Gurbanov, V., 2015. Ecological problems and protection against them caused by natural destructive processes in the north-east and south-western slopes of Greater Caucasus. Baku, 99.
• Ismayilov, M., Amanova, S., Guliyeva, I., 2019. Investigation of the dynamics of landscapes on the basis of vegetation indication (Sample Area along Kura River). Ankara University Journal of Environmental Sciences, 7(2): 14-25.
• Ismayilov, M., Jabrayilov, E., 2019. Protected Areas in Azerbaijan: Landscape-Ecological Diversity and Sustainability, Ankara University Journal of Environmental Sciences, 7(2): 31-42.
• Ismailov, N.I., Alieva, G.J., Ismailova, P.M., Isaeva, H.E., 2018. Change in soil density in the forests of the forest park Samur-Yalama under the influence of recreational loads. Proceedings of the Central Botanical Garden of ANAS, XVI:277-283.
• Ke, Y., Im, J., Lee, J., Gong, H., Ryu, Y., 2015. Characteristics of Landsat 8 OLI-derived NDVI by comparison with multiple satellite sensors and in-situ observations, Remote Sens. Environ., 164: 298-313.
• MATLAB, 2019. MathWorks, Inc., MA https://www.mathworks.com/help/images/finding-vegetation-in-a-multispectral-image.html
• Meeragandhi, G., Arun, S.P., Thummala, N., Christy, A., 2015. Ndvi: Vegetation Change Detection Using Remote Sensing and GIS – A Case Study of Vellore District. Procedia Computer Science. 57: 1199-1210.
• Mehdiyeva, N.P., Asadova, K.K., Abdiyeva, R.T., 2017. Monitoring the state of vegetation strip of the Samur-Davachi lowland. Conference materials dedicated to the 90th anniversary of the Institute of Botany of ANAS and academician Vahid Jalal oglu Hajiyev of the Azerbaijan Botanical Society. Baku.
• MENR, 2014. Ministry of Ecology and Natural Resources of Azerbaijan (MENR). KFW - Kreditanstalt für Wiederaufbau and GFA Consulting Group.. Samur-Yalama National Park Report.
• Mirzayev, O.H., Sadikhova, S.A., 2009. Influence of anthropogenic factors on licking forests and their modern ecological condition. Scientific Works of the Institute of Botany of ANAS, 29: 243-248.
• Prasad, N., Semwal, M., Roy, P.S., 2015. Remote Sensing and GIS for Biodiversity Conservation. Springer India.
• Reyad, A., Venkataraman, L., 2019. Comparison of Normalized Difference Vegetation Index derived from Landsat, MODIS, and AVHRR for the Mesopotamian Marshes Between 2002 and 2018. Remote Sensing. 11(10):1245.
• Tan, K.C., Lim, H.S., Mat, J., Mohd, Z. Abdullah, K., 2011. A comparison of radiometric correction techniques in the evaluation of the relationship between LST and NDVI in Landsat imagery. Environ Monit Assess. 184: 3813-29.
• Seyfullayev, F., 2013 Dendrochronological study of chestnut-leaved oak in the forests of Samur-Absheron lowland. Proceedings of the Central Botanical Garden of ANAS. 11: 147-155.
• Schmidt, S., Uppenbrink, M., 2009. Potential Analysis for Further Nature Conservation in Azerbaijan: A Spatial and Political Investment Strategy, Greifswald: Michael Succow Foundation. 161 p.
• Xue, J., Baofeng, S., 2017. Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications. Journal of Sensors. 1-17.
• Yengoh, G.T., Dent, D., Olsson, L., Tengberg, A.E., Tucker III, C.J., 2016. Use of the Normalized Difference Vegetation Index (NDVI) to Assess Land Degradation at Multiple Scales: current status, future trends, and practical considerations. Springer International Publishing AG. ISSN 2191-5547. Cham, Switzerland. 110 p.