Учредитель: Северный (Арктический) федеральный университет им. М.В. Ломоносова

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О журнале

Three-dimensional structure of tundra vegetation cover dominated by sedges. P. 132–140

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Рубрика: Geosciences





Сведения об авторах

IV Matelenok1, VV Melentyev1
1 St Petersburg State University of Aerospace Instrumentation (Saint Petersburg, Russian Federation)
Corresponding author: Igor Matelenok (igor_matelenok@mail.ru)


Modelling of radiation transfer through natural multilayer media is relevant for many climatological, hydrological and ecological issues. The possibility of using the models is determined by the comprehensiveness of the information on the properties and structure of certain layers: ground, vegetation, atmosphere. Three-dimensional spatial organisation of tundra vegetation cover is understudied compared to vegetation structure of the boreal zone. In the scope of the research, the structure of sedge-tundra vegetation cover in the Nenets Autonomous Area and the Murmansk Region was investigated using specialised hardware-software system which allows to take photos of the cover from different angles, construct virtual three-dimensional models and obtain the values of parameters characterising the structure. The field survey of the sites was carried out in August 2016 and 2017. Phytoelement angle distributions obtained differ from standard erectophile distribution frequently used for modelling orientation of phytoelements in cover formed by grasses/sedges. The shape of phytoelement angle distribution varies from site to site depending on the dominant species. Experiments on fitting real distributions by different functions established that the generalised shape of the distribution in the studied cover is best described by a rotated-ellipsoidal function with a parameter equal to 2.69. Information obtained on the structure of the vegetation cover can be used in modelling microwaves and solar radiation propagation.

Ключевые слова

Arctic, leaf angle distribution, radiation transfer, remote sensing, three-dimensional structure, tundra ecosystems, vegetation cover
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