Classification and mapping of habitats in the northwestern part of the Bolshezemelskaya tundra

Author:

Lavrinenko I. A.1,Lavrinenko O. V.2

Affiliation:

1. Komarov Botanical Institute of the Russian Academy of Sciences

2. Komarov Botanical Institute of the Russian Academy of Sciences; Nenets State Nature Reserve

Abstract

The integrity and preservation of natural habitats is the basis for the existence of flora and fauna, as well as many aspects of the life of the indigenous population. The high sensitivity of Arctic landscapes and natural ecosystems to anthropogenic and climatic factors predetermines the need for monitoring of habitats. Classification and inventory of Arctic habitats is made on the example of a key site in the Bolshezemelskaya tundra — adjacent tundra to the Bolvansky Nos Cape (23.7 km2) (Fig. 1). The diagnostics of biotopes was carried out on the basis of a previously developed typological scheme of territorial units of vegetation (TUV), which, along with the syntaxonomic composition, takes into account the features of ecology and spatial organization (Lavrinenko, 2020b; Lavrinenko, Lavrinenko, 2021). The diagnostics of higher units of habitats is based on their position on the generalized geomorphological profile and relief elements, which predetermine the peculiarities of the impact of the entire variety of en vironmental and climatic factors on biotopes. The types of spatial structures (temporal and ecological series, complexes, and combinations) of heterogeneous TUVs, reflecting the location features, intensity, direction, and the result of the environmental factors interaction, are the main diagnostic characteristics of habitats. The classification of vegetation and position of syntaxa, taking into account their confinement to TUVs, underlie the accurate diagnosis of biotopes. The phytosociological (= Braun-Blanquet) classification is the basis of the TUVs nomenclature. The list of syntaxa of different ranks (Matveyeva, Lavrinenko, 2021) is the basis for the formation of the TUVs categories names that diagnose biotopes. A digital elevation model (DEM) of the key area was made using ArcticDEM data (https://www.pgc.umn.edu/data/arcticdem/) to estimate the location of TUVs as habitat indicators (Fig. 2a). NDWI (Normalized Difference Water Index) (McFeeters, 1996) and NDVI (Normalized Difference Vegetation Index), which reflects the reserves of green phytomass (Walker et al., 2003) (Fig. 2b) were calculated from Sentinel-2A satellite images. Spatial combination of several layers – high-resolution satellite images, DEM, spectral indices (Fig. 3), in GIS made it possible to characterize the important indicators of biotopes. Habitats of two categories of the highest, first level — AB and CB, confined to large elements of the landscape, are found in a key area in the tundra zone. The categories of the second level (AB1, …, CB3) differ in their position on the generalized geomorphological profile, from the highest positions (AB1 — eluvial locations) to the lowest ones (CB3 — accumulative marine terraces). The features of the substrate, along with the position on the profile, were taken into account when identifying categories of biotopes of the third categories. Thus, in the AB1 category, habitats of a lower level differ significantly in terms of soil characteristics: AB1.1, sandy; AB1.2 — loamy-gravelly carbonate, AB1.3 — gleyzems and peat-gleyzems. The well-pronounced physiognomic (color, texture) and spectral (indices, signatures) characteristics of the TUVs levels, along with the position in the relief and features of the substrate, were used to distinguish the fourth and lower habitat categories. Diagnostics of plant communities forming TUVs was carried out on the basis of reference signatures (using Sentinel-2 images) of those phytocoenoses in which geobotanical relevés were made with coordinate reference and syntaxonomic affiliation was established. Terrestrial plots are assigned to 2 categories of habitats of the first level, 7 — of the second, 13 — of the third and 18 — of the fourth, which include all the diversity of biotopes of the key site and unite those that are close in their position on the geomorphological profile and ecological indicators. All categories of habitats of the third level, and in some cases the fourth one, are diagnosed with TUVs classes (Lavrinenko, 2020b), represented by simple and complex combinations of plant communities of different syntaxa. The characteristics of vegetation and soils, the composition of syntaxa (those that are described) are given for categories of the second – third levels. More than 1100 contours, including 140 represented by water bodies, have been identified in the key area. The habitats map of the northwestern part of the Bolshezemelskaya tundra was prepared on a scale of 1 : 25 000. It demonstrates the diversity of biotopes in the study site; terrestrial plots classified as habitat categories of the first —fourth levels are presented on it (Fig. 29, 30). The main emphasis in the identification and characterization of habitats is made on their resource potential for species and communities of plants and animals, as well as for humans. This immediately transfers the question of the significance and relevance of such works from the field of fundamental academic research on the study and mapping of biotopes, to the field of direct practical application of the results obtained. Different categories of habitats have different resource values for certain biological objects, which makes it possible to characterize them from the standpoint of ecological, economic and environmental significance.

Publisher

Komarov Botanical Institute of the Russian Academy of Sciences

Subject

General Engineering,Energy Engineering and Power Technology

Reference40 articles.

1. Agroclimaticheskiye usloviya vypasa olenei na severe Komi АSSR i v Nenetskom avtonomnom okruge Аrkhangelskoi oblasti [Agroclimatic conditions of reindeer grazing in the north of the Komi ASSR and in the Nenets Autonomous District of the Arkhangelsk Region]. 1986. Syktyvkar. 283 p. (In Russian).

2. Arafat S., Farg E., Shokr M., Al-Kzaz G. 2013. Internet-based Spectral Database for Different Land Covers in Egypt. Advances in Remote Sensing. 2(2): 85–92. https://doi.org/10.4236/ars.2013.22012.

3. Artemov I. I., Korolyuk A. Yu., Lashchinskiy N. N., Smelyanskiy I. E. 2007. Kriterii vydeleniya klyuchevykh botanicheskikh territoriy v Altaye-Sayanskom ekoregione: metodicheskoye posobiye [Criteria for identifying of the key botanical areas in the Altai-Sayan ecoregion: a methodological guide]. Novosibirsk. 106 p. (In Russian).

4. Braslavskaya T. Yu., Tikhonova E. V. 2020. Forest and shrub habitats within the «Smolenskoe Poozerie» national park: on the EUNIS habitat classification application for invention and conservation of biodiversity. Raznoobrazie rastitelnogo mira. 1(4): 17–35. (In Russian). https://doi.org/10.22281/2686-9713-2020-1-17-35.

5. Chytrý M., Tichý L., Hennekens S. M., Knollová I., Janssen J. A. M., Rodwell J. S., Peterka T., Marcenò C., Landucci F., Danihelka J., Hájek M., Dengler J., Novák P., Zukal D., Jiménez-Alfaro B., Mucina L., Abdulhak S., Aćić S., Agrillo E., Attorre F., Bergmeier E., Biurrun I., Boch S., Bölöni J., Bonari G., Braslavskaya T., Bruelheide H., Campos J. A., Casella L., Ćuk M., Ćušterevska R., Čarni A., Els De Bie, Demina O., Didukh Y., Dítě D.l, Dziuba T., Ewald J., Gavilán R. G., Gégout J.-C., Giusso del Galdo G., Golub V., Goral F., Graf U., Indreica A., Isermann M., Jandt U., Jansen F., Jansen J., Jašková A., Jiroušek M., Kącki Z., Kalníková V., Kavgacı A., Khanina L., Korolyuk A. Yu., Kozhevnikova M., Kuzemko A., Küzmič F., Laiviņš M., Lavrinenko I., Lavrinenko O., Lebedeva M., Lysenko T., Maciejewski L., Mardari C., Onyshchenko V., Pérez-Haase A., Pielech R., Prokhorov V., Rašomavičius V., Rodríguez Rojo M. P., Rūsiņa S., Schrautzer J., Stančić Z., Stanisci A., Šibík J., Šilc U., Škvorc Ž., Tikhonova E., Tonteri T., Uogintas D., Valachovič M., Vassilev K., Willner W., Yamalov S., Evans D., Lund M. P., Spyropoulou R., Tryfon E., Schaminée J. H. J. 2020. EUNIS Habitat Classification: Expert system, characteristic species combinations and distribution maps of European habitats. Applied Vegetation Science. https://doi.org/10.1111/avsc.12519.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3