Elevation-Dependent NDVI Dynamics in Arevik National Park (Syunik Province, Armenia): a 40-Year Spatio-Temporal Analysis (1985–2025)

Authors

DOI:

https://doi.org/10.11137/1982-3908_2026_49_75078

Keywords:

Climatic warming, Mountain ecosystems, Remote sensing

Abstract

Mountain ecosystems are highly sensitive to climate change due to pronounced environmental gradients and strong climatic variability. Understanding vegetation responses to ongoing warming is therefore essential for assessing ecosystem resilience and developing effective conservation strategies. This study investigates long-term vegetation dynamics and their relationship with climatic warming in Arevik National Park, located in the Syunik Province of southern Armenia. The analysis was conducted using Normalized Difference Vegetation Index (NDVI) data derived from Landsat 5 TM, 7 ETM+, 8 OLI, and 9 OLI-2 imagery for the period 1985–2025 at five-year intervals. Elevation data derived from a Digital Elevation Model (DEM) and August minimum and maximum temperature data obtained from the WorldClim database were integrated within a GIS environment to evaluate elevation-dependent vegetation responses. August was selected because it represents the driest period in the study area, minimizing the influence of seasonal precipitation variability and providing more reliable NDVI-based assessments of forest vegetation dynamics. The results revealed a clear warming trend across the study area, with both minimum and maximum August temperatures showing a gradual increase during the study period. NDVI analysis indicated an overall decline in vegetation greenness and productivity, although significant spatial heterogeneity was observed. Elevation-based analysis demonstrated contrasting vegetation responses along the altitudinal gradient. Negative NDVI trends were identified in elevation zones between 450 and 2400 m a.s.l., where vegetation greenness declined by up to 16.05%. In contrast, positive NDVI trends were recorded above 2400 m a.s.l., with the strongest increase (+25.77%) observed in the 2800–3200 m elevation range. Spatial change-detection analysis further confirmed the coexistence of areas exhibiting vegetation decline and vegetation expansion throughout the study area. The findings indicate that vegetation dynamics in Arevik National Park are strongly elevation-dependent and suggest that ongoing climatic warming affects mountain ecosystems differently across altitude zones. The integration of remote sensing, GIS analysis, and climatic datasets provides valuable insights into climate–vegetation relationships in the South Caucasus and supports evidence-based conservation and management of protected mountain landscapes under changing climatic conditions.

Downloads

Download data is not yet available.

Author Biographies

Sargis Sargsyan, Yerevan State University, Faculty of Geography and Geology, Chair of Cartography and Geomorphology, Yerevan, Armenia

2025-09 to present | PHd student (Geography and geology) Employment

Paruyr Efendyan, Yerevan State University, Faculty of Geography and Geology, Chair of Cartography and Geomorphology, Yerevan, Armenia

Professor (Yerevan state university, Faculty of Geography and Geology) Employment

References

Chang, C.-T., Chiang, J.-M. & Dai, J. 2023, ‘Remote Sensing of Climate-Vegetation Dynamics and Their Effects on Ecosystems’, Remote Sensing, vol. 15, no. 21, art. 5097, DOI: 10.3390/rs15215097

EcoPortal Armenia 2025, Climate of the Republic of Armenia, Ministry of Environment of the Republic of Armenia, viewed 02 Jun. 2026, https://ecoportal.am/en/page/Climat/

EOS Data Analytics 2025, EOSDA LandViewer, viewed 10 Jun. 2026, https://eos.com/landviewer/

Fick, S.E. & Hijmans, R.J. 2017, ‘WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas’, International Journal of Climatology, vol. 37, no. 12, pp. 4302–4315, DOI: 10.1002/joc.5086

JAXA 2025, Earth Observation Data Sets, Japan Aerospace Exploration Agency (JAXA), viewed 09 Jun. 2026, https://data.earth.jaxa.jp/en/datasets/

Kooistra, L., Berger, K., Brede, B., Graf, L.V., Aasen, H., Roujean, J.-L., Machwitz, M., Schlerf, M., Atzberger, C., Prikaziuk, E., Ganeva, D., Tomelleri, E., Croft, H., Muñoz, P.R., Millan, V.G., Darvishzadeh, R., Koren, G., Herrmann, I., Rozenstein, O., Belda, S., Rautiainen, M., Karlsen, S.R., Silva, C.F., Cerasoli, S., Pierre, J., Kayıkçı, E.T., Halabuk, A., Gormus, E.T., Fluit, F., Cai, Z., Kycko, M., Udelhoven, T. & Verrelst, J. 2024, ‘Reviews and syntheses: Remotely sensed optical time series for monitoring vegetation productivity’, Biogeosciences, vol. 21, no. 2, pp. 473–518, DOI: 10.5194/bg-21-473-2024

Körner, C. 2007, ‘The use of "altitude" in ecological research’, Trends in Ecology & Evolution, vol. 22, no. 11, pp. 569–574, DOI: 10.1016/j.tree.2007.09.006

Lenoir, J., Gégout, J.-C., Marquet, P.A., de Ruffray, P. & Brisse, H. 2008, ‘A Significant Upward Shift in Plant Species Optimum Elevation During the 20th Century’, Science, vol. 320, no. 5884, pp. 1768–1771, DOI: 10.1126/science.1156831

Liu, L., Gou, X., Wang, X., Yang, M., Qie, L., Pang, G., Wei, S., Zhang, F., Li, Y., Wang, Q. & Wang, T. 2024, ‘Relationship between extreme climate and vegetation in arid and semi-arid mountains in China: A case study of the Qilian Mountains’, Agricultural and Forest Meteorology, vol. 348, art. 109938, DOI: 10.1016/j.agrformet.2024.109938

Nakhutsrishvili, G. 2013, The Vegetation of Georgia (South Caucasus), Springer, Berlin Heidelberg, DOI: 10.1007/978-3-642-29915-5

NASA EarthData 2025, Digital Elevation and Terrain Model (DEM), National Aeronautics and Space Administration (NASA), viewed 09 Jun. 2026, https://www.earthdata.nasa.gov/topics/land-surface/digital-elevation-terrain-model-dem

Nemani, R.R., Keeling, C.D., Hashimoto, H., Jolly, W.M., Piper, S.C., Tucker, C.J., Myneni, R.B. & Running, S.W. 2003, ‘Climate-driven increases in global terrestrial net primary production from 1982 to 1999’, Science, vol. 300, no. 5625, pp. 1560–1563, DOI: 10.1126/science.1082750

Parmesan, C. 2006, ‘Ecological and Evolutionary Responses to Recent Climate Change’, Annual Review of Ecology, Evolution, and Systematics, vol. 37, pp. 637–669, DOI: 10.1146/annurev.ecolsys.37.091305.110100

Pepin, N., Bradley, R.S., Diaz, H.F., Baraer, M., Cáceres, B., Forsythe, N., Fowler, H.J., Greenwood, G., Hashmi, M.Z.U.R., Liu, X.D., Miller, J.R., Ning, L., Ohmura, A., Palazzi, E., Rangwala, I., Schöner, W., Severskiy, I., Shahgedanova, M., Wang, M.B., Williamson, S.N. & Yang, D. 2015, ‘Elevation-dependent warming in mountain regions of the world’, Nature Climate Change, vol. 5, no. 5, pp. 424–430, DOI: 10.1038/nclimate2563

Republic of Armenia 2014, Fifth National Report of the Republic of Armenia to the Convention on Biological Diversity, Ministry of Nature Protection of the Republic of Armenia, Yerevan, viewed 03 Jun. 2026, https://www.cbd.int/doc/world/am/am-nr-05-en.pdf

Shen, X. & Liu, B. 2022, ‘Vegetation and Climate Relationships’, Atmosphere, vol. 13, no. 11, art. 1881, DOI: 10.3390/atmos13111881

Tucker, C.J. 1979, ‘Red and photographic infrared linear combinations for monitoring vegetation’, Remote Sensing of Environment, vol. 8, no. 2, pp. 127–150, DOI: 10.1016/0034-4257(79)90013-0

UNDP 2015, United Nations Development Programme, viewed 04 Jun. 2026, https://erc.undp.org/evaluation/documents/download/8244.

UNEP-WCMC & IUCN 2025, Arevik National Park, Protected Planet Database, viewed 05 Jun. 2026, https://www.protectedplanet.net/555787182?site_pid=555787182

USGS 2025, Landsat Normalized Difference Vegetation Index (NDVI), United States Geological Survey, viewed 10 Jun. 2026, https://www.usgs.gov/landsat-missions/landsat-normalized-difference-vegetation-index

WorldClim 2025, Monthly Weather and Climate Data, WorldClim Global Climate Data, viewed 10 Jun. 2026, https://www.worldclim.org/data/monthlywth.html

Downloads

Published

2026-08-25

How to Cite

Sargsyan, S. and Efendyan, P. (2026) “Elevation-Dependent NDVI Dynamics in Arevik National Park (Syunik Province, Armenia): a 40-Year Spatio-Temporal Analysis (1985–2025)”, Anuário do Instituto de Geociências. Rio de Janeiro, BR, 49. doi: 10.11137/1982-3908_2026_49_75078.

Issue

Section

Environmental Sciences