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Review paper

COMPARATIVE ANALYSIS OF OLD-GROWTH STANDS JANJ AND LOM USING VEGETATION INDICES

By
Zoran Govedar ,
Zoran Govedar
Contact Zoran Govedar

Faculty of Forestry, University of Banja Luka , Banja Luka , Bosnia and Herzegovina

Nemanja Anikić ,
Nemanja Anikić

Research Develop and Project Centre , Banja Luka , Bosnia and Herzegovina

Srđan Bilić
Srđan Bilić

Faculty of Forestry, University of Banja Luka , Banja Luka , Bosnia and Herzegovina

Abstract

Old-growth forests represent a very valuable field for research of natural processes. The application of remote sensing was carried out on two old-growth forests in the northwestern part of the Republic of Srpska. The sample plots from OG Janj show relatively higher mean values (NDVI, SAVI and EVI) compared to OG Lom, with the exception of the VARI. Karstified terrain and poor delay of snags in the top-layer of stand due to the impact of weather disasters and the tendency of OG Janj toward the terminal phase of old-growth forest development are potential reasons for the higher mean value of the VARI index.

References

1.
Milanović Đ, Brujić J, Stupar V, Bucalo V, Travar J, Cvjetićanin R. VASKULARNA FLORA PLANINE KLEKOVAČE U BOSNI I HERCEGOVINI. ГЛАСНИК ШУМАРСКОГ ФАКУЛТЕТА УНИВЕРЗИТЕТА У БАЊОЈ ЛУЦИ. 1(23).
2.
Motta R, Maunaga Z, Berretti R, Castagneri D, Lingua E, Meloni F. Structure of an old-growth stand (Reserve of Lom, Republic of Bosnia Herzegovina) and two over-mature forest stands from the Italian eastern Alps (Ludrin, TN, and Val Navarza, UD). Forest@ - Rivista di Selvicoltura ed Ecologia Forestale. 5(1):100–11.
3.
Govedar Z. Methods of natural regeneration of mixed fir and spruce forests (Abieti-Piceetum illyricum) in the western part of the Republic of Srpska. 2005.
4.
Keren S, Motta R, Govedar Z, Lucic R, Medarevic M, Diaci J. Comparative Structural Dynamics of the Janj Mixed Old-Growth Mountain Forest in Bosnia and Herzegovina: Are Conifers in a Long-Term Decline? Forests. 5(6):1243–66.
5.
Motta R, Garbarino M, Berretti R, Meloni F, Nosenzo A, Vacchiano G. Development of old-growth characteristics in uneven-aged forests of the Italian Alps. European Journal of Forest Research. 2015;134(1):19–31.
6.
Silva VS, Salami G, Silva MIO, Silva EA, Monteiro Junior JJ, Alba E. Methodological evaluation of vegetation indexes in land use and land cover (LULC) classification. Geology, Ecology, and Landscapes. 2019;4(2):159–69.
7.
She X, Zhang L, Cen Y, Wu T, Huang C, Baig M. Comparison of the Continuity of Vegetation Indices Derived from Landsat 8 OLI and Landsat 7 ETM+ Data among Different Vegetation Types. Remote Sensing. 7(10):13485–506.
8.
Maeda E, Moura Y, Wagner F, Hilker T, Lyapustin A, Wang Y, et al. Consistency of vegetation index seasonality across the Amazon rainforest. International Journal of Applied Earth Observation and Geoinformation. 2016;52:42–53.
9.
Huete AR, Jackson RD. Suitability of spectral indices for evaluating vegetation characteristics on arid rangelands. Remote Sensing of Environment. 1987;23(2):213-IN8.
10.
Rouse JW, Haas RH, Schell JA, Deering DW. Monitoring vegetation systems in the Great Plains with ERTS. NASA special publication. 1974;351:309.
11.
Privette JL, Riggs G, Strahler A, Lucht W, Myneni RB, Knyazikhin Y, et al. The Moderate Resolution Imaging Spectroradiometer (MODIS): land remote sensing for global change research. IEEE Transactions on Geoscience and Remote Sensing. 1998;36(4):1228–49.
12.
Vela E, Medved I, Miljkovic V. Geostatistical analysis of vegetation indices in forest ecosystem Česma. Geodetski List. 2017;71:25–40.
13.
Gitelson AA, Kaufman YJ, Stark R, Rundquist D. Novel algorithms for remote estimation of vegetation fraction. Remote Sensing of Environment. 2002;80(1):76–87.
14.
Kaufman YJ, Tanre D. Atmospherically resistant vegetation index (ARVI) for EOS-MODIS. IEEE Transactions on Geoscience and Remote Sensing. 1992;30(2):261–70.
15.
Gitelson AA, Stark R, Grits U, Rundquist D, Kaufman Y, Derry D. Vegetation and soil lines in visible spectral space: A concept and technique for remote estimation of vegetation fraction. International Journal of Remote Sensing. 2002;23(13):2537–62.
16.
Megat Mohamed Nazir MN, Terhem R, Norhisham AR, Mohd Razali S, Meder R. Early Monitoring of Health Status of Plantation-Grown Eucalyptus pellita at Large Spatial Scale via Visible Spectrum Imaging of Canopy Foliage Using Unmanned Aerial Vehicles. Forests. 2021;12(10):1393.
17.
Valtonen A, Korkiatupa E, Holm S, Malinga GM, Nakadai R. Remotely sensed vegetation greening along a restoration gradient of a tropical forest, Kibale National Park, Uganda. Land Degradation & Development. 2021;32(18):5166–77.

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