Neinvazivno ekološko praćenje četinarskih šuma primenom statističke analize i modelovanja podataka
DOI:
https://doi.org/10.5937/ror2501035LKljučne reči:
održivi razvoj, klimatske promene, ekologija, ekološko praćenjeApstrakt
Klima ima ključnu ulogu u uspostavljanju odnosa između zdravlja četinarskih šuma i vodnog bilansa, što je od suštinskog značaja za efikasnu biosintezu u uslovima promenljivih meteoroloških faktora. U ovom radu se ističe da starost šume (mlade šume <30 godina i stare šume >200 godina) doprinosi poboljšanoj ekofiziologiji u održavanju vodnog bilansa kroz odgovor drveća na vremenske uslove (padavine, temperatura i vodni bilans u različitim sezonama). Globalne klimatske promene, pre svega porast temperatura, imaju značajan uticaj na životnu sredinu planinskih ekosistema Alpa. Subalpske šume poboljšavaju raspodelu padavina, pri čemu procesi presretanja u krošnjama stabala određuju stabilnost udela vode koja dospeva do tla, kao i količinu vode koja isparava. Ovi procesi doprinose globalnom unapređenju šumskih ekosistema na nivou slivova, jer na presretanje utiču struktura i gustina krošnji stabala, kao i prisustvo epifita. Istraživanje je pokazalo da četinarske šume (jela, smrča i bor) značajno utiču na količinu vode koja se zadržava i otpušta u zemljištu i biljkama. Presretanje u gustim subalpskim šumama može predstavljati značajan deo ukupnih padavina. Analiza podataka korišćenjem modelovanja zasnovanog na Python-u pokazala je da starost šume doprinosi povećanoj biosintezi putem unapređenja protoka vode. Ova studija naglašava značaj otkrivanja skrivenih klimatsko-ekoloških činilaca koji vode ka unapređenju šumske hidrologije i ekofiziologije, sa ciljem poboljšanja biosinteze i vodnog bilansa u četinarskim šumama Alpa.Reference
Akkala A., Boubrahimi S.F., Hamdi S.M., Hosseinzadeh P., Nassar A., Spatio-Temporal Graph Neural Networks for Streamflow Prediction in the Upper Colorado Basin. Hydrology, 12 (3), 2025, 60
https://doi.org/10.3390/hydrology12030060
Alnmr A., Ray R., Alzawi M.O. A Novel Approach to Swell Mitigation: Machine-Learning-Powered Optimal Unit Weight and Stress Prediction in Expansive Soils. Applied Sciences, 14 (4), 2024, 1411
https://doi.org/10.3390/app14041411
Beswick K. M., Hargreaves K., Gallagher M. W., Choularton T. W., Fowler D., Size-resolved measurements of cloud droplet deposition velocity to a forest canopy using an eddy correlation technique. Quarterly Journal of the Royal Meteorological Society, 117, 1991, 623-645
https://doi.org/10.1256/smsqj.49909
Breuer L., Eckhardt K., Frede H.-G., Plant parameter values for models in temperate climates. Ecological Modelling, 169, 2-3, 2003, 237-293
https://doi.org/10.1016/S0304-3800(03)00274-6
Brunner I., Herzog C., Dawes M., Arend M., Sperisen C., How tree roots respond to drought. Frontiers in Plant Science, 6, 2015, 1-16
https://doi.org/10.3389/fpls.2015.00547
Caldwell P.V., Miniat C.F., Elliott K.J., Swank W.T., Brantley S.T., Laseter S.H., Declining water yield from forested mountain watersheds in response to climate change and forest mesophication. Global Change Biology, 22, 2016, 2997-3012
https://doi.org/10.1111/gcb.13309
Cattivelli V., Climate Adaptation Strategies and Associated Governance Structures in Mountain Areas. The Case of the Alpine Regions. Sustainability, 13(5), 2021, 2810
https://doi.org/10.3390/su13052810
Cattivelli V., Macro-Regional Strategies, Climate Policies and Regional Climatic Governance in the Alps. Climate, 11(2), 2023, 37
https://doi.org/10.3390/cli11020037
Chandel A. K., Khot L. R., Stöckle C. O., Kalcsits L., Mantle S., Rathnayake A. P., Peters T. R., Canopy Transpiration Mapping in an Apple Orchard Using High-Resolution Airborne Spectral and Thermal Imagery with Weather Data. AgriEngineering, 7(5), 2025, 154
https://doi.org/10.3390/agriengineering7050154
Chen J., Zhang H., Liu Z., Che M., Chen B., Evaluating Parameter Adjustment in the MODIS Gross Primary Production Algorithm Based on Eddy Covariance Tower Measurements. Remote Sensing, 6(4), 2014, 3321-3348
https://doi.org/10.3390/rs6043321
Chen Z., Hartmann A., Wagener T., Goldscheider N., Dynamics of water fluxes and storages in an Alpine karst catchment under current and potential future climate conditions. Hydrology and Earth System Sciences, 22 (7), 2018, 3807-3823
https://doi.org/10.5194/hess-22-3807-2018
Dohnal M., Černý T., Votrubová J., Tesař M., Rainfall interception and spatial variability of throughfall in spruce stand. Journal of Hydrology and Hydromechanics, 62(4), 2014, 277-284
https://doi.org/10.2478/johh-2014-0037
Evrendilek F., Karakaya N., Aslan G., Ertekin C., Using Eddy Covariance Sensors to Quantify Carbon Metabolism of Peatlands: A Case Study in Turkey. Sensors, 11(1), 2011, 522-538
https://doi.org/10.3390/s110100522
Feng M., Li Y., Xu L, Zhang T., Basin Ecological Zoning Based on Supply-Demand Assessment and Matching of Green Infrastructure: A Case Study of the Jialing River Basin. Forests, 16(4), 2025, 561
https://doi.org/10.3390/f16040561
Gerula D., Gąbka J., The Effect of Land Cover on the Nectar Collection by Honeybee Colonies in Urban and Rural Areas. Applied Sciences, 15(8), 2025, 4497
https://doi.org/10.3390/app15084497
Kandel B., Bhattacharjee J., Net Radiation Drives Evapotranspiration Dynamics in a Bottomland Hardwood Forest in the Southeastern United States: Insights from Multi-Modeling Approaches. Atmosphere, 15(5), 2024, 527
https://doi.org/10.3390/atmos15050527
Karinou F., Agathangelidis I., Cartalis C., Assessing the Combined Impact of Land Surface Temperature and Droughts to Heatwaves over Europe Between 2003 and 2023. Remote Sensing, 17(9), 2025, 1655
https://doi.org/10.3390/rs17091655
Klaučo M, Gregorová B, Stankov U, Marković V, Lemenkova P., Determination of ecological significance based on geostatistical assessment: a case study from the Slovak Natura 2000 protected area. Central European Journal of Geography, 5, 2013, 28-42
https://doi.org/10.2478/s13533-012-0120-0
Klaučo M., Gregorová B., Koleda P., Stankov U., Marković V., Lemenkova P., Land Planning as a Support for Sustainable Development Based on Tourism: A Case Study of Slovak Rural Region, Environmental Engineering and Management Journal, 16(2), 2017, 449-458
https://doi.org/10.30638/eemj.2017.045
Klemm O., Wrzesinsky T., Fog deposition fluxes of water and ions to a mountainous site in Central Europe, Tellus B, Chemical and Physical Meteorology, 59(4), 2007, 705-714
https://doi.org/10.1111/j.1600-0889.2007.00287.x
Kulshreshtha K., Narayanan S. H. K., Bessac J., MacIntyre K., Efficient computation of derivatives for solving optimization problems in R and Python using SWIG-generated interfaces to ADOL-C†. Optimization Methods and Software, 33(4-6), 2018, 1173-1191
https://doi.org/10.1080/10556788.2018.1425861
Kustura K., Conti D., Sammer M., Riffler M., Harnessing Multi-Source Data and Deep Learning for High-Resolution Land Surface Temperature Gap-Filling Supporting Climate Change Adaptation Activities. Remote Sensing, 17(2), 2025, 318
https://doi.org/10.3390/rs17020318
Kupec P., Deutscher J., Futter, M., Longer Growing Seasons Cause Hydrological Regime Shifts in Central European Forests. Forests, 12(12), 2021, 1656
https://doi.org/10.3390/f12121656
Lemenkova P. Generic Mapping Tools and Matplotlib Package of Python for Geospatial Data Analysis in Marine Geology. International Journal of Environment and Geoinformatics, 6(3), 2019a, 225-237
https://doi.org/10.30897/ijegeo.567343
Lemenkova P., Processing oceanographic data by python libraries numpy, scipy and pandas. Aquatic Research, 2(2), 2019b, 73-91
https://doi.org/10.3153/AR19009
Lemenkova P., Statistical analysis of the Mariana Trench geomorphology using R programming language. Geodesy and Cartography, 45(2), 2019c, 57-84
https://doi.org/10.3846/gac.2019.3785
Lemenkova P., Mapping environmental and climate variations by GMT: A case of Zambia, Central Africa. Zemljište i biljka,70(1), 2021a, 117-36
https://doi.org/10.5937/ZemBilj2101117L
Lemenkova P., Comparative analysis of climate and topography in Chaco and Oriental, Paraguay, Caderno de Geografia, 31(66), 2021b, 865-888
https://doi.org/10.5752/P.2318-2962.2021v31n66p865
Lemenkova P., Mapping Climate Parameters over the Territory of Botswana Using GMT and Gridded Surface Data from TerraClimate, ISPRS International Journal of Geo-Information, 11(9), 2022a, 473
https://doi.org/10.3390/ijgi11090473
Lemenkova P., Evapotranspiration, vapour pressure and climatic water deficit in Ethiopia mapped using GMT and TerraClimate dataset, Journal of Water and Land Development, 54(7-9), 2022b, 201-209
https://doi.org/10.24425/jwld.2022.141573
Lemenkova P., Mapping Wetlands of Kenya Using Geographic Resources Analysis Support System (GRASS GIS) with Remote Sensing Data. Transylvanian Review of Systematical and Ecological Research, 25(2), 2023, 1-18
https://doi.org/10.2478/trser-2023-0008
Lemenkova P., Mapping Woodlands in Angola, Tropical Africa: Calculation of Vegetation Indices From Remote Sensing Data, The Journal Agriculture and Forestry, 70(3), 2024a, 185-202
https://doi.org/10.17707/AgricultForest.70.3.13
Lemenkova P., Support Vector Machine Algorithm for Mapping Land Cover Dynamics in Senegal, West Africa, Using Earth Observation Data. Earth, 5(3), 2024b, 420-462
https://doi.org/10.3390/earth5030024
Lemenkova P., Automation of image processing through ML algorithms of GRASS GIS using embedded Scikit-Learn library of Python, Examples and Counterexamples, 7, 2025a, 100180
https://doi.org/10.1016/j.exco.2025.100180
Lemenkova P., Improving Bimonthly Landscape Monitoring in Morocco, North Africa, by Integrating Machine Learning with GRASS GIS. Geomatics, 5(1), 2025b, 5
https://doi.org/10.3390/geomatics5010005
Lemenkova P., Data integration for environmental mapping and monitoring in South Tyrol. Western Balkan Journal of Agricultural Economics and Rural Development, 7(1), 2025c, 37-51
https://doi.org/10.5937/WBJAE2501037L
Lemenkova P., Python-based statistical analysis of the ecological variables in the Italian Alps, Journal of Process Management and New Technologies 13, 1-2, 2025d, 102-112
https://doi.org/10.5937/jpmnt13-57672
Li H., Rex J., Reconstructing Evapotranspiration in British Columbia Since 1850 Using Publicly Available Tree-Ring Plots and Climate Data. Remote Sensing, 17(5), 2025, 930
https://doi.org/10.3390/rs17050930
Li X., An F., Wang Y., Gong M., Xu H., Zheng B., Dong L., Yu R. Comparative Analysis of Drought-Driven Water-Use Strategies in Mangroves and Forests. Forests, 16(3), 2025, 396
https://doi.org/10.3390/f16030396
Liu J., Gao G., Zhang B., Effect of Shrub Components on Soil Water and Its Response to Precipitation at Different Time Scales in the Loess Plateau. International Journal of Environmental Research and Public Health, 20(6), 2023, 4722
https://doi.org/10.3390/ijerph20064722
Liu J., Zhao J., He J., Qu J., Xing Y., Du R., Chen S., Tang X., Wang L., Yue C., Spatiotemporal Trend and Influencing Factors of Surface Soil Moisture in Eurasian Drylands over the Past Four Decades, Forests, 16(4), 2025, 589
https://doi.org/10.3390/f16040589
Los S. O., Pollack N. H., Parris M. T., Collatz G. J., Tucker C. J., Sellers P. J., Malmström C. M., DeFries R. S., Bounoua L., Dazlich, D. A., A Global 9-yr Biophysical Land Surface Dataset from NOAA AVHRR Data. Journal of Hydrometeorology, 1(2), 2000, 183-199
https://doi.org/10.1175/1525-7541(2000)001<0183:AGYBLS>2.0.CO;2
Los S. O., Collatz G. J., Bounoua L., Sellers P. J., Tucker C. J., Global Interannual Variations in Sea Surface Temperature and Land Surface Vegetation, Air Temperature, and Precipitation. Journal of Climate, 14(7), 2001, 1535-1549
https://doi.org/10.1175/1520-0442(2001)014<1535:GIVISS>2.0.CO;2
Menzel A. Trends in phenological phases in Europe between 1951 and 1996. International Journal of Biometeorology, 44, 2000, 76-81
https://doi.org/10.1007/s004840000054
Nikić Z., Letić L., Nikolić V., Formation of useful waters on the Stara Planina Mountain, in the area Visok Kraj, Glasnik Šumarskog fakulteta, 105, 2012, 139-56
https://doi.org/10.2298/GSF110919001N
Ranković N, Nedeljković J, Zlatić M, Stanišić M, Nonić D., Trends in the extent of damages from natural hazards in forests in Serbia and the influence of temperature and precipitation. Glasnik Šumarskog fakulteta, 114, 2016, 201-18
https://doi.org/10.2298/GSF1614201R
Ratknić T, Ratknić M, Vukadinović L., The regional climate model (REG-IN) for forecasting the adaptivity of forest ecosystems in Belgrade. Sustainable Forestry: Collection, 79-80, 2019, 127-39
https://doi.org/10.5937/SustFor1979127R
Scavotto N., Siegert C. M., Alexander H. D., Varner J. M., Leaf Water Storage Capacity Among Eight US Hardwood Tree Species: Differences in Seasonality and Methodology. Hydrology, 12(2), 2025, 40
https://doi.org/10.3390/hydrology12020040
Schermer M., Stotten R., Strasser U., Meißl G., Marke T., Förster K., Formayer H., The Role of Transdisciplinary Research for Agricultural Climate Change Adaptation Strategies. Agronomy, 8(11), 2018, 237
https://doi.org/10.3390/agronomy8110237
She B., Hu T., Zhu X., Bao S., Bridging open source tools and Geoportals for interactive spatial data analytics. Geo-Spatial Information Science, 22(3), 2019, 185-192
https://doi.org/10.1080/10095020.2019.1645497
Skalova V., Dohnal M., Votrubova J., Vogel T., Sanda, M., Inter-annual variability of catchment water balance in a montane spruce forest. Hydrological Sciences Journal, 67(10), 2022, 1546-1560
https://doi.org/10.1080/02626667.2022.2093643
Stajić S., Čokeša V., Eremija S., Miletić Z., Rakonjac L., Martać N., et al. Floristic diversity of artificially established stands of different coniferous species in the area of Kosmaj (Serbia). Sustainable Forestry: Collection, 87-88, 2023, 47-56
https://doi.org/10.5937/SustFor2388047S
Studer S., Stöckli R., Appenzeller C., Vidale P.L., A comparative study of satellite and ground-based phenology. International Journal of Biometeorology, 51, 2007, 405-414
https://doi.org/10.1007/s00484-006-0080-5
Swidrak I., Schuster R., Oberhuber, W., Comparing growth phenology of co-occurring deciduous and evergreen conifers exposed to drought. Flora - Morphology, Distribution, Functional Ecology of Plants, 208, 2013, 609-617
https://doi.org/10.1016/j.flora.2013.09.004
Tanovski V., Matović B., Kesić L., Stojanović D. B., A review of the influence of climate change on coniferous forests in the Balkan peninsula. Topola, 210, 2022, 41-64
https://doi.org/10.5937/topola2210041T
Thorne R., Arain M. A., Influence of Low Frequency Variability on Climate and Carbon Fluxes in a Temperate Pine Forest in Eastern Canada. Forests, 6(8), 2015, 2762-2784
https://doi.org/10.3390/f6082762
Uehara Y., Kume, A., Canopy Rainfall Interception and Fog Capture by Pinus pumila Regal at Mt. Tateyama in the Northern Japan Alps, Japan. Arctic, Antarctic, and Alpine Research, 44(1), 2012, 143-150
https://doi.org/10.1657/1938-4246-44.1.143
van Rossum, G. Python tutorial, Technical Report CS-R9526, Centrum voor Wiskunde en Informatica (CWI), Amsterdam, 1995
Vázquez-Luna M., Ellis E. A., Navarro-Martínez M. A., Cerdán-Cabrera C. R., Ortiz-Ceballos G. C., Evaluating the Spatial Relationships Between Tree Cover and Regional Temperature and Precipitation of the Yucatán Peninsula Applying Spatial Autoregressive Models. Land, 14(5), 2025, 943
https://doi.org/10.3390/land14050943
Wang L, Wu B, Zhu W, Elnashar A, Yan N, Ma Z., Evapotranspiration Disaggregation Using an Integrated Indicating Factor Based on Slope Units. Remote Sensing. 17(7), 2025a, 1201
https://doi.org/10.3390/rs17071201
Wang J., Wang S., Li Y., Ding S., Wei Z., Shi A., Yang D., Distribution Pattern and Change Prediction of Luprops orientalis (Coleoptera: Tenebrionidae) Suitable Area in East Asia Under Climate Change. Insects, 16(6), 2025b, 626
https://doi.org/10.3390/insects16060626
Węgrzyn M. H., Fałowska P., Alzayany K., Waszkiewicz K., Dziurowicz P., Wietrzyk-Pełka P., Seasonal Changes in the Photosynthetic Activity of Terrestrial Lichens and Mosses in the Lichen Scots Pine Forest Habitat. Diversity, 13(12), 2021, 642
https://doi.org/10.3390/d13120642
Weng F., Li X., Xie Y., Xu Z., Ding F, Ding Z, Zheng Y. Study on Multidimensional Perception of National Forest Village Landscape Based on Digital Footprint Support-Anhui Xidi Village as an Example. Forests, 14(12), 2023, 2345
https://doi.org/10.3390/f14122345
White P., Powell S., Code-Literacy for GIS Librarians: A Discussion of Languages, Use Cases, and Competencies. Journal of Map and Geography Libraries, 15(1), 2019, 45-67
https://doi.org/10.1080/15420353.2019.1660754
Yu W., Sheng L., Wang X., Tang X., Yuan J., Luo W., Soil Microbial Carbon Use Efficiency in Natural Terrestrial Ecosystems. Biology, 14(4), 2025, 348
https://doi.org/10.3390/biology14040348
Zhang L., Tian J., He H., Ren X., Sun X., Yu G., Lu Q., Lv, L., Evaluation of Water Use Efficiency Derived from MODIS Products against Eddy Variance Measurements in China. Remote Sensing, 7(9), 2015, 11183-11201
https://doi.org/10.3390/rs70911183
Zhang Q., Feng Q., Su Y., Jian C., Evapotranspiration Partitioning of the Populus euphratica Forest Ecosystem in the Drylands of Northwestern China. Plants. 14(5), 2025, 680
https://doi.org/10.3390/plants14050680
Zhu H., Lin A., Wang L., Xia Y., Zou L., Evaluation of MODIS Gross Primary Production across Multiple Biomes in China Using Eddy Covariance Flux Data. Remote Sensing, 8(5), 2016, 395
##submission.downloads##
Objavljeno
Broj časopisa
Rubrika
Licenca
Sva prava zadržana (c) 2025 CC BY 4.0 by Authors

Ovaj rad je pod Creative Commons Autorstvo 4.0 Internacionalna licenca.