Methodological Aspects of Using Indicator Values in Biodiversity Analysis

Зверев, А. А.

doi:10.1134/s1995425520040125

Cited by 14 publications

(8 citation statements)

References 19 publications

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“…The phytoindication assessment of environmental factors has advantages in comparison with instrumental methods of the measurement of environmental properties (Zverev, 2020). Plants represent an integrated expression of environmental variables that can fluctuate greatly in time and space and that cannot be estimated by single measurements.…”

Section: Figmentioning

confidence: 99%

Phytoindication approach to assessing factors determining the habitat preferences of red deer (Cervus elaphus)

2021

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The study examined the possibility of using the phytoindication technique to describe habitat preferences of red deer in a relatively homogeneous area. Two alternative hypotheses were tested. Hypothesis 1 suggests that the relationship between red deer and vegetation is due to a trophic factor, so preferences for individual plant species cause vegetation to influence the distribution of animal numbers. Hypothesis 2 suggests that environmental factors influence vegetation, structuring and determining the productive level of the community as a whole. Therefore, environmental factors, rather than individual plant species, cause vegetation-animal interactions. The research was conducted on Biryuchiy Island Spit, where the Azov-Sivash National Nature Park is located. The geobotanical surveys were performed in three types of ecosystems: sandy steppe (vegetation class Festucetea vaginatae), saline meadows (vegetation class Festuco–Puccinellietea), and artificial forest plantation (vegetation class Robinietea). 250 releves were recorded according to the Brown-Blanquet approach. The number of fecal pellets and the number of groups of pellets of red deer was recorded together with geobotanical surveys in the same sample plots. The pellet groups counted in the field were converted to deer densities in specific vegetation classes taking into account the number of pellet groups on the site and the decay rate of the fecal pellets. The vegetation types were distinguished by the number of deer fecal pellets per unit area. The highest number of fecal pellets was found for the plant class Festucetea vaginatae, somewhat fewer fecal pellets were in the plant class Robinietea, and the lowest number was in the plant class Festuco-Puccinellietea. A geometric distribution model is adequate for explaining the experimental data on the number of fecal pellets. A total of 59 species of flowering plants were found. Based on the species composition and projective cover of species, the ecological regimes of ecotopes were identified by phytoindication. The correspondence analysis of the vegetation revealed two ordination axes. The ordination axis 1 (CA1) was able to explain 11.3% of community inertia, and the ordination axis 2 (CA2) was able to explain 5.2% of community inertia. The maximum excretory activity of animals was recorded for the central part of the ordination space, indicating the presence of an optimum zone in the gradient of environmental factors that structure plant communities. The forward selection procedure allowed the Nutrients Availability variable to be selected as the most important variable to explain variation in the plant community structure. The number of deer fecal pellets exhibited different patterns of response in the Nutrients Availability gradient. The response within the plant class Festucetea vaginatae could best be explained by Model III from the list of HOF-models. The response of the excretory activity of deer within the class Festuco-Puccinellietea could best be fitted by the model IV, which represents a symmetric Gaussian curve. The response of excretory activity in the Robinietea vegetation class was asymmetrical bimodal. The ecological properties of the red deer ecological niche in both the drier and less mineralized part of the range of ecological conditions and the wetter and more mineralized part should be assessed in the context of the prospects for future studies.

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Section: Figmentioning

confidence: 99%

Phytoindication approach to assessing factors determining the habitat preferences of red deer (Cervus elaphus)

2021

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“…The mean hemeroby status for the association was obtained by averaging the statuses of all relevés of phytocoenoses within the association. When performing IVA, relevés' statuses were calculated by the double weighted averaging (by the amplitudes of tolerance and the covers in a 9-point geometric scale [7]) the individual statuses of indicator taxa [2]. The statuses were normalized to the number of scale gradations, so the values were in the range 0.0÷1.0.…”

Section: Evaluation Of Hemerobymentioning

confidence: 99%

“…The set of model relevés was created in the form of a database of the integrated botanical information system IBIS v.7.2. [2,7]. The IVA module of this software was used for all calculations of hemeroby status of phytocoenosis; the homogeneity assessment module calculates all homotoneity indicators.…”

Section: Data Management and Statistical Analysismentioning

confidence: 99%

“…An effective means of quantitatively assessing anthropogenic transformation is the method of indicator values analysis (IVA), or phytoindication, which is based on an indirect probabilistic assessment of this complex factor according to the reference synecological statuses of indicator taxa registered in the plant communities in the study area. To assess an ecosystem disruption several scales of hemeroby have been developed and successfully used [1,2]. In collaboration with Dr. A. Ebel we developed such scale of hemeroby tolerance for Southern Siberia [3].…”

Section: Introductionmentioning

confidence: 99%

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Hemeroby and homotoneity of plant communities: can we detect evident codependencies?

2021

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“…Варианты при отсутствии свойственных им доминантов могут выделяться только по детерминантам (Кучеров, 2019). Обработка фитоценотических таблиц проводилось с помощью ботанической информационной системы IBIS 7.2 (Зверев, 2007;Zverev, 2020).…”

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Swampy mesotrophic peatmoss spruce forests of European Russia and Urals

Кучеров¹,

Kutenkov²

2021

Herald of Tver State University. Series: Biology and Ecology

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На основе выборки из 130 геоботанических описаний, сделанных авторами в 1995-2019 гг. или взятых из литературы, проведена доминантно-детерминантная классификация топких мезотрофных (Picea abies s.l.) ельников сфагновых, развивающихся при подтоплении либо периодическом затоплении в Европейской России и на Урале. Ценотическое разнообразие этих сообществ определяется спецификой названных процессов в сочетании с климатическими факторами, тогда как роль почвообразующих пород почти не выражена. Выделено 6 ассоциаций с 6 субассоциациями и 2 вариантами, всего 11 синтаксонов (табл. 1). В их числе подтопленные ельники вейниковые сфагновые с господством Calamagrostis purpurea s.l. и Equisetum sylvaticum в травяном ярусе (4 субассоциации в разных подзонах тайги либо долготных секторах), вздутоосоковые с Carex rostrata и C. vesicaria и вахтовые с Menyanthes trifoliata (2 субассоциации). Кроме того, выделены эндемичные для Южного Урала ельники малоцветковоосоковые с C. pauciflora и Rubus chamaemorus, развивающиеся на поверхностном дождевом стоке (2 варианта), приречные северотаежные водноосоковые с Carex aquatilis и затопленные южно- и подтаежные белокрыльниковые с Calla palustris. Для большинства синтаксонов характерны Swampy mesotrophic peatmoss spruce forests, dominated by Picea abies s.l. and originated due to inundation or periodical flooding, have been classified in European Russia and the Urals using the dominant-determinant approach to vegetation. The data set involves 130 relevés made by the authors in 1996-2019 or taken from the published sources. 11 syntaxa are totally recognized (see Table 1). Inundated reedgrass-peatmoss (with the dominance of Calamagrostis purpurea s.l. and Equisetum sylvaticum in the field layer; 4 subassociations in different subzones or longitudinal sectors), sedge-peatmoss (with Carex rostrata and C. vesicaria), and trefoil-peatmoss (with Menyanthes trifoliata; 2 subassociations) spruce forests are recognized. In addition, one can distinguish sedge-cloudberry-peatmoss spruce forests with Carex pauciflora и Rubus chamaemorus in the subalpine belt of the Southern Urals, developing due to surficial rain flow, also riverine northern-boreal sedge-peatmoss forests with Carex aquatilis and flooded southern- and hemiboreal calla-peatmoss spruce forests with Calla palustris. The observed syntaxonomic diversity is governed by inundation/flooding intensity and longevity together with latitudinal zonation and climate continentality, whereas the role of bedrock type influence is minimal. Multi-dominance and mutual replaceability are typical for peatmosses in most of the syntaxa.

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Methodological Aspects of Using Indicator Values in Biodiversity Analysis

Cited by 14 publications

References 19 publications

Phytoindication approach to assessing factors determining the habitat preferences of red deer (Cervus elaphus)

Phytoindication approach to assessing factors determining the habitat preferences of red deer (Cervus elaphus)

Hemeroby and homotoneity of plant communities: can we detect evident codependencies?

Swampy mesotrophic peatmoss spruce forests of European Russia and Urals

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