Forest Ecosystems under climate change
Volga State University of Technology
1. APPLYING GIS AND REMOTE SENSING TO DETERMINE POTENTIAL DISTRIBUTION AREAS OF TURTLE IN NAM DONG NATURAL RESERVE, THANH HOA PROVINCE
Ho Thu Phuong, Tran Quang Bao, Luca Luiselli, Bui Manh Hungp. 6-22; https://doi.org/10.25686/foreco.2024.83.62.001
2. IMPACT OF VEGETATION CHANGE ON ECOSYSTEM SERVICES IN LAOS FROM 2000 TO 2020
Jun Ma, Vadim Khromykh, Jinliang Wang, Jianpeng Zhang, Suling He, Xuzheng Zhongp. 23-38; https://doi.org/10.25686/foreco.2024.70.21.002
3. THE ROLE OF CLIMATIC INFLUENCES ON FOREST VEGETATION PRODUCTIVITY CHANGES IN EUROPEAN RUSSIAN OLD-DEVELOPED AREAS
V.V. Elsakov, T. A. Mylnikova, V. M. Shchanovp. 39-46; https://doi.org/10.25686/foreco.2024.88.25.003
4. CURRENT INCREMENT OF SMALL-LEAVED LINDEN STANDS (TILIA CORDATA MILL.) IN CONDITIONS OF CHANGING CLIMATE
A.K. Gabdelkhakov, D.I. Akhmetkuzhin. A.A. Bikmukhametov, M.R. Enikeev, A.R. Musabirovap. 47-57; https://doi.org/10.25686/foreco.2024.53.28.004
5. USING EARTH REMOTE SENSING DATA TO ASSESS THE SPREAD OF SIBERIAN SPRUCE POPULATION IN THE MOUNTAIN TUNDRA OF THE SOUTHERN URALS
G.I. Lozhkin, A.A. Grigorievp. 58-65; https://doi.org/10.25686/foreco.2024.24.47.005
6. ASSESSMENT OF VEGETATION COVER OF THE NAKHCHIVAN AUTONOMOUS REPUBLIC BASED ON NDVI DATA
G.H. Gurbanovp. 66-71; https://doi.org/10.25686/foreco.2024.44.53.006
7. ON THE PROBLEMATIC SITUATION OF FORECASTING WILDFIRES IN THE CONTEXT OF CLIMATE CHANGE
E.V. Ivanov, A.A. Kondratiev, A.V. Dmitrievp. 72-79; https://doi.org/10.25686/foreco.2024.31.31.007
8. IMPROVING THE ACCURACY OF FOREST CLASSIFICATION USING SOIL AND METEOROLOGICAL DATA
A.K. Popovap. 80-91; https://doi.org/10.25686/foreco.2024.26.21.008
9. APPLICATION OF DIFFERENT REMOTE SENSING DATA TYPES FOR THE ANALYSIS OF FOREST VEGETATION DISTRIBUTION ON POSTAGROGENIC LANDS IN THE SOUTH OF THE CENTRAL RUSSIAN UPLAND
E.A. Terekhinp. 92-104; https://doi.org/10.25686/foreco.2024.53.76.009
10. ASSESSMENT OF ABOVE GROUND PHYTOMASS DYNAMICS IN THE FORESTS OF THE PENZA REGION USING MACHINE LEARNING ALGORITHM
D.M. Dergunovp. 105-122; https://doi.org/10.25686/foreco.2024.38.64.010
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