Eurasian Journal of Soil Science

Volume 10, Issue 3, Jul 2021, Pages 251-258
DOI: 10.18393/ejss.926882
Stable URL: http://ejss.fess.org/10.18393/ejss.926882
Copyright © 2021 The authors and Federation of Eurasian Soil Science Societies



Transformation of plant and soil covers of the Botanical nature monument “Pine forest near Venetsiya village” (Russia) as a result of a windfall

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Suleymanov,R., Yakimov,M., Liebelt,P., Shirokikh,P., Suleymanov,A., Abakumov,E., Adelmurzina,I., Bakieva,E., Asylbaev,I., 2021. Transformation of plant and soil covers of the Botanical nature monument “Pine forest near Venetsiya village” (Russia) as a result of a windfall. Eurasian J Soil Sci 10(3):251-258. DOI : 10.18393/ejss.926882
Suleymanov,R.,Yakimov,M.Liebelt,P.Shirokikh,P.Suleymanov,A.Abakumov,E.Adelmurzina,I.Bakieva,E.,& Asylbaev,I. Transformation of plant and soil covers of the Botanical nature monument “Pine forest near Venetsiya village” (Russia) as a result of a windfall Eurasian Journal of Soil Science, 10(3):251-258. DOI : 10.18393/ejss.926882
Suleymanov,R.,Yakimov,M.Liebelt,P.Shirokikh,P.Suleymanov,A.Abakumov,E.Adelmurzina,I.Bakieva,E., and ,Asylbaev,I."Transformation of plant and soil covers of the Botanical nature monument “Pine forest near Venetsiya village” (Russia) as a result of a windfall" Eurasian Journal of Soil Science, 10.3 (2021):251-258. DOI : 10.18393/ejss.926882
Suleymanov,R.,Yakimov,M.Liebelt,P.Shirokikh,P.Suleymanov,A.Abakumov,E.Adelmurzina,I.Bakieva,E., and ,Asylbaev,I. "Transformation of plant and soil covers of the Botanical nature monument “Pine forest near Venetsiya village” (Russia) as a result of a windfall" Eurasian Journal of Soil Science,10(Jul 2021):251-258 DOI : 10.18393/ejss.926882
R,Suleymanov.M,Yakimov.P,Liebelt.P,Shirokikh.A,Suleymanov.E,Abakumov.I,Adelmurzina.E,Bakieva.I,Asylbaev "Transformation of plant and soil covers of the Botanical nature monument “Pine forest near Venetsiya village” (Russia) as a result of a windfall" Eurasian J. Soil Sci, vol.10, no.3, pp.251-258 (Jul 2021), DOI : 10.18393/ejss.926882
Suleymanov,Ruslan ;Yakimov,Mikhail ;Liebelt,Peter ;Shirokikh,Pavel ;Suleymanov,Azamat ;Abakumov,Evgeny ;Adelmurzina,Ilgiza ;Bakieva,Elvera ;Asylbaev,Ilgiz Transformation of plant and soil covers of the Botanical nature monument “Pine forest near Venetsiya village” (Russia) as a result of a windfall. Eurasian Journal of Soil Science, (2021),10.3:251-258. DOI : 10.18393/ejss.926882

How to cite

Suleymanov, R., Yakimov, M., Liebelt, P., Shirokikh, P., Suleymanov, A., Abakumov, E., Adelmurzina, I., Bakieva, E., Asylbaev, I., 2021. Transformation of plant and soil covers of the Botanical nature monument “Pine forest near Venetsiya village” (Russia) as a result of a windfall. Eurasian J. Soil Sci. 10(3): 251-258. DOI : 10.18393/ejss.926882

Author information

Ruslan Suleymanov , Ufa Institute of Biology, Ufa Federal Research Center Russian Academy of Sciences, Ufa, Russia & Bashkir State University, Faculty of Earth Sciences and Tourism, Department of Geodesy, Cartography and Geographical Information Systems, Ufa, Russia
Mikhail Yakimov , Bashkir State University, Faculty of Earth Sciences and Tourism, Department of Geodesy, Cartography and Geographical Information Systems, Ufa, Russia
Peter Liebelt , Martin Luther University Halle-Wittenberg, Institute of Geosciences and Geography, Halle (Saale), Germany
Pavel Shirokikh , Ufa Institute of Biology, Ufa Federal Research Center Russian Academy of Sciences, Ufa, Russia
Azamat Suleymanov , Ufa Institute of Biology, Ufa Federal Research Center Russian Academy of Sciences, Ufa, Russia
Evgeny Abakumov , Saint Petersburg State University, Faculty of Biology, Department of Applied Ecology, Saint Petersburg, Russia
Ilgiza Adelmurzina , Bashkir State University, Faculty of Earth Sciences and Tourism, Department of Geodesy, Cartography and Geographical Information Systems, Ufa, Russia
Elvera Bakieva , Bashkir State University, Faculty of Earth Sciences and Tourism, Department of Geodesy, Cartography and Geographical Information Systems, Ufa, Russia
Ilgiz Asylbaev , Bashkir State Agrarian University, Faculty of Agrotechnologies and Forestry, Department of Soil Science, Agrochemistry and Precision Agriculture, Ufa, Russia

Publication information

Article first published online : 23 Apr 2021
Manuscript Accepted : 18 Apr 2021
Manuscript Received: 16 Oct 2020
DOI: 10.18393/ejss.926882
Stable URL: http://ejss.fesss.org/10.18393/ejss.926882

Abstract

The article presents the results of complex research (research was conducted in 2019) of the Botanical natural monument territory “Pine forest near Venetsiya village” (Russia). In 2007, part of the nature monument territory was destroyed by a hurricane, resulting in massive windfall. The purpose of the research was to study the processes of evolution of natural complexes (vegetation and soil cover) in the areas affected by the hurricane. Classification of vegetation was done according to the Braun-Blanquet and Kopečký and Hejný approaches. NDVI (Normalized Difference Vegetation Index) was used to estimate the amount of photosynthetically active biomass. Changes in morphological, physical and chemical properties were studied in the soil cover. The conducted research showed that the vegetation of the natural monument is represented by relict pine and broad-leaved pine forests. Under the pine canopy linden and birch are dominated. In the herb layer grow in various combinations of nemoral and boreal species. Soil cover is represented by Gray-humus (Umbric Luvisol). There is a strong transformation of vegetation in the areas damaged by the hurricane in 12 years (2007-2019). There is an active formation of highly productive herbaceous vegetation and renewal of deciduous stands, which leads to an increase in biomass (confirmed by changes in NDVI). The terminal stage of the restoration succession will be the formation of secondary deciduous and mixed nemoral forests. The active development of grass vegetation leads to the formation of a sod horizon on the surface of the soil with a thickness of about 14 cm. There is also an increase in the content of organic carbon, alkaline-hydrolyzable nitrogen and mobile phosphorus, the value of electrical resistivity increases and acidification of the soil solution.

Keywords

Pine forest, soil properties, vegetation type, windfall.

Corresponding author

References

Adamovich, T.A., Kantor, G.Ya., Ashikhmina, T.Ya., Savinykh, V.P. 2018. The analysis of seasonal and long-term dynamics of the vegetative NDVI index in the territory of the State Nature Reserve «Nurgush». Theoretical and Applied Ecology 1: 18–24. [in Russian].

Alekseev, I., Kostecki, J., Abakumov, E., 2017. Vertical electrical resistivity sounding (VERS) of tundra and forest tundra soils of Yamal region. International Agrophysics 31: 1–8.

Arinushkina, E.V., 1970. Soil chemical analysis guide. Moscow State University, Moscow, Russia. 488 p. [in Russian].

Baker, C., Sterling, M., Jesson, M., 2020. The lodging of crops by tornadoes. Journal of Theoretical Biology 500: 110309.

Barrett, B.S., Marin, J.C., Jacques-Coper, M., 2020. A multiscale analysis of the tornadoes of 30–31 May 2019 in south-central Chile. Atmospheric Research 236: 104811.

Beck, H.E., Zimmermann, N.E., McVicar, T.R., Vergopolan, N., Berg, A., Wood, E.F., 2018. Present and future Köppen-Geiger climate classification maps at 1-km resolution. Scientific Data 5: 180214.

Cadastral report on protected areas natural monument of regional importance «Pine forest near Venetsiya village», 2019. Information and analytical system «Specially Protected Natural Areas of Russia». Available at [Access date: 16.10.2020]: http://oopt.aari.ru [in Russian].

Chakraborty, A., Seshasai, M.V.R., Reddy, C.S., Dadhwal, V.K., 2018. Persistent negative changes in seasonal greenness over different forest types of India using MODIS time series NDVI data (2001–2014). Ecological Indicators 85: 887–903.

Chernetskiy, M., Pasko, I., Shevyrnogov, A., Slyusar, N., Khodyayev, A., 2011. A study of forest vegetation dynamics in the south of the Krasnoyarskii Krai in spring. Advances in Space Research 48: 819–825.

Chernokulsky, A., Shikhov, A., 2018. 1984 Ivanovo tornado outbreak: Determination of actual tornado tracks with satellite data. Atmospheric Research 207: 111–121.

Cui, W., Caracoglia, L., 2019. A new stochastic formulation for synthetic hurricane simulation over the North Atlantic Ocean. Engineering Structures 199: 109597.

Czerepanov, S.K., 1995. Vascular plants of Russia and adjacent states (within the limits of the former USSR). World and Family-95 Ltd, Moscow, Russia. 992 p. [in Russian].

De Beurs, K.M., McThompson, N.S., Owsley, B.C., Henebry, G.M., 2019. Hurricane damage detection on four major Caribbean islands. Remote Sensing of Environment 229: 1–13.

Diaz, J., Joseph, M.B., 2019. Predicting property damage from tornadoes with zero-inflated neural networks. Weather and Climate Extremes 25: 100216.

Ezer, T., 2020. The long-term and far-reaching impact of hurricane Dorian (2019) on the Gulf Stream and the coast. Journal of Marine Systems 208: 103370.

Fern, R.R., Foxley, E.A., Bruno, A., Morrison, M.L., 2018. Suitability of NDVI and OSAVI as estimators of green biomass and coverage in a semi-arid rangeland. Ecological Indicators 94: 16–21.

Hoffmann, P., Merker, C., Lengfeld, K., Ament, F., 2018. The Hamburg Tornado (7 June 2016) from the perspective of low-cost high-resolution radar data and weather forecast model. Atmospheric Research 211: 1–11.

Kadilnikov, I.P., 1964. Physiographic zoning of Bashkir ASSR. Bashkir State University, Ufa, Bashkortostan. 191p. [in Russian].

Kopecký, K., Hejný, S., 1974. A new approach to the classification of anthropogenic plant communities. Vegetatio 29: 17–20.

Long, J.A., Stoy, P.C., Gerken, T., 2018. Tornado seasonality in the southeastern United States. Weather and Climate Extremes 20: 81–91.

Majidzadeh, H., Uzun, H., Chen, H., Bao, S., Tsui, M.T.K., Karanfil, T., Chow, A.T., 2020. Hurricane resulted in releasing more nitrogenous than carbonaceous disinfection byproduct precursors in coastal watersheds. Science of The Total Environment 705: 135785.

Meixler, M.S., 2017. Assessment of Hurricane Sandy damage and resulting loss in ecosystem services in a coastal-urban setting. Ecosystem Services 24: 28–46.

Mo, Y., Kearney, M.S., Turner, R.E., 2020. The resilience of coastal marshes to hurricanes: The potential impact of excess nutrients. Environment International 138: 105409.

Moore, T.W., 2017. On the temporal and spatial characteristics of tornado days in the United States. Atmospheric Research 184: 56–65.

Novais, S., Sáyago, R., Cristóbal-Perez, E.J., Salguero-Hernández, G., Martén-Rodríguez, S., Lopezaraiza-Mikel, M., Quesada, M., 2020. Anthropogenic and hurricane disturbances had similar negative effects on epiphytic Tillandsia species in a tropical dry forest. Forest Ecology and Management 458: 117797.

Peng, W., Kuang, T., Tao, S., 2019. Quantifying influences of natural factors on vegetation NDVI changes based on geographical detector in Sichuan, western China. Journal of Cleaner Production 233: 353–367.

Pisek, J., Rautiainen, M., Nikopensius, M., Raabe, K., 2015. Estimation of seasonal dynamics of understory NDVI in northern forests using MODIS BRDF data: Semi-empirical versus physically-based approach. Remote Sensing of Environment 163: 42–47.

Pisman, T.I., Botvich, I.Yu., Shevyrnogov, A.P., 2018. Assessment of the state of forest vegetation in Krasnoyarsk Territory (Stolby Nature Reserve) according to satellite data. Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli Iz Kosmosa 15: 130–140. [in Russian].

Pozdnyakov, A.I., 2008. Electrical parameters of soils and pedogenesis. Eurasian Soil Science 41: 1050–1058.

Riihimäki, H., Heiskanen, J., Luoto, M., 2017. The effect of topography on arctic-alpine aboveground biomass and NDVI patterns. International Journal of Applied Earth Observation and Geoinformation 56: 44–53.

Sahoo, B., Jose, F., Bhaskaran, P.K., 2019. Hydrodynamic response of Bahamas archipelago to storm surge and hurricane generated waves – A case study for Hurricane Joaquin. Ocean Engineering 184: 227–238.

Santoro, J.A., D’Amato, A.W., 2019. Structural, compositional, and functional responses to tornado and salvage logging disturbance in southern New England hemlock-hardwood forests. Forest Ecology and Management 444: 138–150.

Shikhov, A., Chernokulsky, A., 2018. A satellite-derived climatology of unreported tornadoes in forested regions of northeast Europe. Remote Sensing of Environment 204: 553–567.

Shirokikh, P.S., Suleymanov, R.R., Kotlugalyamova, E.Yu., Martynenko V.B., 2017. Changes in the vegetation and soil cover after the windfall in the broad-leaved forest of the National park «Bashkiria». In: Proceedings of the RAS Ufa Scientific Centre 3(1): 214–220. [in Russian].

Sokolov, A.V. (Ed.), 1975. Agrochemical Methods of Soil Studies. Nauka, Moscow, Russia. 656 p. [in Russian].

Strader, S.M., Ashley, W.S., Pingel, T.J., Krmenec, A.J., 2018. How land use alters the tornado disaster landscape. Applied Geography 94: 18–29.

The Red Book of the Republic of Bashkortostan, 2011. Media Print, Ufa, Bashkortostan. 384 p. [in Russian].

The Register of especially protected natural territories of republican importance of Bashkortostan Republic, 2016. Belaya reka, Ufa, Bashkortostan. 400 p. [in Russian].

Tucker, R., Callaham, J.A., Zeidler, C., Paul, A.-L., Ferl, R.J., 2020. NDVI imaging within space exploration plant growth modules – A case study from EDEN ISS Antarctica. Life Sciences in Space Research 26: 1–9.

Weber, H.E., Moravec, J., Theurillat, J.-P., 2000. International Code of Phytosociological Nomenclature. 3rd edition. Journal of Vegetation Science 11: 739–768.

Westhoff, V., Van Der Maarel, E., 1978. The Braun-Blanquet Approach. In: Classification of Plant Communities. Whittaker, R.H. (Ed.), Springer Netherlands, Dordrecht, pp. 287–399.

Zhu, X., Liu, D., 2015. Improving forest aboveground biomass estimation using seasonal Landsat NDVI time-series. ISPRS Journal of Photogrammetry and Remote Sensing 102: 222–231.

Abstract

The article presents the results of complex research (research was conducted in 2019) of the Botanical natural monument territory “Pine forest near Venetsiya village” (Russia). In 2007, part of the nature monument territory was destroyed by a hurricane, resulting in massive windfall. The purpose of the research was to study the processes of evolution of natural complexes (vegetation and soil cover) in the areas affected by the hurricane. Classification of vegetation was done according to the Braun-Blanquet and Kopečký and Hejný approaches. NDVI (Normalized Difference Vegetation Index) was used to estimate the amount of photosynthetically active biomass. Changes in morphological, physical and chemical properties were studied in the soil cover. The conducted research showed that the vegetation of the natural monument is represented by relict pine and broad-leaved pine forests. Under the pine canopy linden and birch are dominated. In the herb layer grow in various combinations of nemoral and boreal species. Soil cover is represented by Gray-humus (Umbric Luvisol). There is a strong transformation of vegetation in the areas damaged by the hurricane in 12 years (2007-2019). There is an active formation of highly productive herbaceous vegetation and renewal of deciduous stands, which leads to an increase in biomass (confirmed by changes in NDVI). The terminal stage of the restoration succession will be the formation of secondary deciduous and mixed nemoral forests. The active development of grass vegetation leads to the formation of a sod horizon on the surface of the soil with a thickness of about 14 cm. There is also an increase in the content of organic carbon, alkaline-hydrolyzable nitrogen and mobile phosphorus, the value of electrical resistivity increases and acidification of the soil solution.

Keywords: Pine forest, soil properties, vegetation type, windfall.

References

Adamovich, T.A., Kantor, G.Ya., Ashikhmina, T.Ya., Savinykh, V.P. 2018. The analysis of seasonal and long-term dynamics of the vegetative NDVI index in the territory of the State Nature Reserve «Nurgush». Theoretical and Applied Ecology 1: 18–24. [in Russian].

Alekseev, I., Kostecki, J., Abakumov, E., 2017. Vertical electrical resistivity sounding (VERS) of tundra and forest tundra soils of Yamal region. International Agrophysics 31: 1–8.

Arinushkina, E.V., 1970. Soil chemical analysis guide. Moscow State University, Moscow, Russia. 488 p. [in Russian].

Baker, C., Sterling, M., Jesson, M., 2020. The lodging of crops by tornadoes. Journal of Theoretical Biology 500: 110309.

Barrett, B.S., Marin, J.C., Jacques-Coper, M., 2020. A multiscale analysis of the tornadoes of 30–31 May 2019 in south-central Chile. Atmospheric Research 236: 104811.

Beck, H.E., Zimmermann, N.E., McVicar, T.R., Vergopolan, N., Berg, A., Wood, E.F., 2018. Present and future Köppen-Geiger climate classification maps at 1-km resolution. Scientific Data 5: 180214.

Cadastral report on protected areas natural monument of regional importance «Pine forest near Venetsiya village», 2019. Information and analytical system «Specially Protected Natural Areas of Russia». Available at [Access date: 16.10.2020]: http://oopt.aari.ru [in Russian].

Chakraborty, A., Seshasai, M.V.R., Reddy, C.S., Dadhwal, V.K., 2018. Persistent negative changes in seasonal greenness over different forest types of India using MODIS time series NDVI data (2001–2014). Ecological Indicators 85: 887–903.

Chernetskiy, M., Pasko, I., Shevyrnogov, A., Slyusar, N., Khodyayev, A., 2011. A study of forest vegetation dynamics in the south of the Krasnoyarskii Krai in spring. Advances in Space Research 48: 819–825.

Chernokulsky, A., Shikhov, A., 2018. 1984 Ivanovo tornado outbreak: Determination of actual tornado tracks with satellite data. Atmospheric Research 207: 111–121.

Cui, W., Caracoglia, L., 2019. A new stochastic formulation for synthetic hurricane simulation over the North Atlantic Ocean. Engineering Structures 199: 109597.

Czerepanov, S.K., 1995. Vascular plants of Russia and adjacent states (within the limits of the former USSR). World and Family-95 Ltd, Moscow, Russia. 992 p. [in Russian].

De Beurs, K.M., McThompson, N.S., Owsley, B.C., Henebry, G.M., 2019. Hurricane damage detection on four major Caribbean islands. Remote Sensing of Environment 229: 1–13.

Diaz, J., Joseph, M.B., 2019. Predicting property damage from tornadoes with zero-inflated neural networks. Weather and Climate Extremes 25: 100216.

Ezer, T., 2020. The long-term and far-reaching impact of hurricane Dorian (2019) on the Gulf Stream and the coast. Journal of Marine Systems 208: 103370.

Fern, R.R., Foxley, E.A., Bruno, A., Morrison, M.L., 2018. Suitability of NDVI and OSAVI as estimators of green biomass and coverage in a semi-arid rangeland. Ecological Indicators 94: 16–21.

Hoffmann, P., Merker, C., Lengfeld, K., Ament, F., 2018. The Hamburg Tornado (7 June 2016) from the perspective of low-cost high-resolution radar data and weather forecast model. Atmospheric Research 211: 1–11.

Kadilnikov, I.P., 1964. Physiographic zoning of Bashkir ASSR. Bashkir State University, Ufa, Bashkortostan. 191p. [in Russian].

Kopecký, K., Hejný, S., 1974. A new approach to the classification of anthropogenic plant communities. Vegetatio 29: 17–20.

Long, J.A., Stoy, P.C., Gerken, T., 2018. Tornado seasonality in the southeastern United States. Weather and Climate Extremes 20: 81–91.

Majidzadeh, H., Uzun, H., Chen, H., Bao, S., Tsui, M.T.K., Karanfil, T., Chow, A.T., 2020. Hurricane resulted in releasing more nitrogenous than carbonaceous disinfection byproduct precursors in coastal watersheds. Science of The Total Environment 705: 135785.

Meixler, M.S., 2017. Assessment of Hurricane Sandy damage and resulting loss in ecosystem services in a coastal-urban setting. Ecosystem Services 24: 28–46.

Mo, Y., Kearney, M.S., Turner, R.E., 2020. The resilience of coastal marshes to hurricanes: The potential impact of excess nutrients. Environment International 138: 105409.

Moore, T.W., 2017. On the temporal and spatial characteristics of tornado days in the United States. Atmospheric Research 184: 56–65.

Novais, S., Sáyago, R., Cristóbal-Perez, E.J., Salguero-Hernández, G., Martén-Rodríguez, S., Lopezaraiza-Mikel, M., Quesada, M., 2020. Anthropogenic and hurricane disturbances had similar negative effects on epiphytic Tillandsia species in a tropical dry forest. Forest Ecology and Management 458: 117797.

Peng, W., Kuang, T., Tao, S., 2019. Quantifying influences of natural factors on vegetation NDVI changes based on geographical detector in Sichuan, western China. Journal of Cleaner Production 233: 353–367.

Pisek, J., Rautiainen, M., Nikopensius, M., Raabe, K., 2015. Estimation of seasonal dynamics of understory NDVI in northern forests using MODIS BRDF data: Semi-empirical versus physically-based approach. Remote Sensing of Environment 163: 42–47.

Pisman, T.I., Botvich, I.Yu., Shevyrnogov, A.P., 2018. Assessment of the state of forest vegetation in Krasnoyarsk Territory (Stolby Nature Reserve) according to satellite data. Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli Iz Kosmosa 15: 130–140. [in Russian].

Pozdnyakov, A.I., 2008. Electrical parameters of soils and pedogenesis. Eurasian Soil Science 41: 1050–1058.

Riihimäki, H., Heiskanen, J., Luoto, M., 2017. The effect of topography on arctic-alpine aboveground biomass and NDVI patterns. International Journal of Applied Earth Observation and Geoinformation 56: 44–53.

Sahoo, B., Jose, F., Bhaskaran, P.K., 2019. Hydrodynamic response of Bahamas archipelago to storm surge and hurricane generated waves – A case study for Hurricane Joaquin. Ocean Engineering 184: 227–238.

Santoro, J.A., D’Amato, A.W., 2019. Structural, compositional, and functional responses to tornado and salvage logging disturbance in southern New England hemlock-hardwood forests. Forest Ecology and Management 444: 138–150.

Shikhov, A., Chernokulsky, A., 2018. A satellite-derived climatology of unreported tornadoes in forested regions of northeast Europe. Remote Sensing of Environment 204: 553–567.

Shirokikh, P.S., Suleymanov, R.R., Kotlugalyamova, E.Yu., Martynenko V.B., 2017. Changes in the vegetation and soil cover after the windfall in the broad-leaved forest of the National park «Bashkiria». In: Proceedings of the RAS Ufa Scientific Centre 3(1): 214–220. [in Russian].

Sokolov, A.V. (Ed.), 1975. Agrochemical Methods of Soil Studies. Nauka, Moscow, Russia. 656 p. [in Russian].

Strader, S.M., Ashley, W.S., Pingel, T.J., Krmenec, A.J., 2018. How land use alters the tornado disaster landscape. Applied Geography 94: 18–29.

The Red Book of the Republic of Bashkortostan, 2011. Media Print, Ufa, Bashkortostan. 384 p. [in Russian].

The Register of especially protected natural territories of republican importance of Bashkortostan Republic, 2016. Belaya reka, Ufa, Bashkortostan. 400 p. [in Russian].

Tucker, R., Callaham, J.A., Zeidler, C., Paul, A.-L., Ferl, R.J., 2020. NDVI imaging within space exploration plant growth modules – A case study from EDEN ISS Antarctica. Life Sciences in Space Research 26: 1–9.

Weber, H.E., Moravec, J., Theurillat, J.-P., 2000. International Code of Phytosociological Nomenclature. 3rd edition. Journal of Vegetation Science 11: 739–768.

Westhoff, V., Van Der Maarel, E., 1978. The Braun-Blanquet Approach. In: Classification of Plant Communities. Whittaker, R.H. (Ed.), Springer Netherlands, Dordrecht, pp. 287–399.

Zhu, X., Liu, D., 2015. Improving forest aboveground biomass estimation using seasonal Landsat NDVI time-series. ISPRS Journal of Photogrammetry and Remote Sensing 102: 222–231.



Eurasian Journal of Soil Science