Dynamics of Indicators of the Ecological State of Shrubs, Taking into Account their Taxonomic and Age Specifics for the Prediction of their Longevity

• Autorzy: Semenyutina Alexandra V. , Khuzhakhmetova Aliya Sh. , Semenyutina Victoria A.

Identyfikatory

DOI

10.12912/27197050/147144

• Języki publikacji: EN

Abstrakty

EN

As part of a plant Group, species with different limits of individual tolerance coexist. According to the principle of emergence, in synecological studies, it is advisable to evaluate the response of biocenoses as an integral structure to changes in environmental parameters. To reveal the organizational structure of groups, their functional activity allows the study of the relationships of various hierarchical levels, as a result of which ectomorphic matrices are formed that reflect the general emergent properties of ecological groups (for example, trophic, topical their structure) since the organizational structure of groups is environmentally determined. The study of plants of cultivated species at various ecological levels allows us to obtain information on plant viability strategies that are important in managing and expanding the functionality of species and varietal diversity and harmonizing vegetation with environmental conditions. The systematic approach of plant research makes it possible to fully realize the genetic potential of productivity, establish the limits of environmental tolerance, stability, genetic flexibility, etc. So, for a complex study of a cultural plant species (variety, line, Hybrid), a systematic approach of research involves the study of plants at different levels of integration of living matter (genetic-molecular, cellular, tissue, morphological, organizational), as well as Dem –, son – and ecosystem. Given that most of the characteristics, properties, and characteristics of plant organisms are determined not only genetically, but also ecologically, it is important to study plant organisms under changing conditions in Sita, revealing the Out –, Dem –, synecological, and ecosystem levels.

Słowa kluczowe

EN

ecology; dynamic indicator; ecological state; shrub

• Wydawca: Lubelski Oddział Polskiego Towarzystwo Inżynierii Ekologicznej ; Lublin University of Technology ; WNGB Wydawnictwo Naukowe
• Czasopismo: Ecological Engineering & Environmental Technology
• Rocznik: 2022
• Tom: Vol. 23, iss. 3
• Strony: 23--29
• Opis fizyczny: Bibliogr. 13 poz., rys., tab.

Twórcy

autor

Semenyutina Alexandra V.

• Federal Research Centre of Agroecology, Complex Melioration, and Forest Reclamations RAS, Volgograd, Russian Federation

• https://orcid.org/0000-0003-3250-6877

autor

Khuzhakhmetova Aliya Sh.

• Federal Research Centre of Agroecology, Complex Melioration, and Forest Reclamations RAS, Volgograd, Russian Federation

• https://orcid.org/0000-0001-5127-8844

autor

Semenyutina Victoria A.

• Federal Research Centre of Agroecology, Complex Melioration, and Forest Reclamations RAS, Volgograd, Russian Federation

• https://orcid.org/0000-0002-7345-2740

Bibliografia

• 1. Belitskaya M. 2019. Dendrophages Ulmus spp. in the forest plantation of the Volga region. World Ecology Journal, 9(1), 24–39. https://doi.org/https://doi.org/10.25726/NM.2019.77.24.002
• 2. Chamberlain S. et al. 2020. Taxize: Taxonomic in-formation from around the web. R package version 0.9.98. https://github.com/ropensci/taxize.
• 3. Döring M. 2017. Zeigerwerte von Pflanzen & Flechten in Mitteleuropa. GBIF Secretariat https://doi.org/10.15468/tpngma
• 4. Hill M.O., Mountford J.O., Roy D.B., Bunce R.G.H. 1999. Ellenberg’s indicator values for British plants. ECOFACT Volume 2 Technical Annex, 2. Institute of Terrestrial Ecology
• 5. IPNI. 2020. International Plant Names Index. Published on the Internet http://www.ipni.org, The Royal Botanic Gardens, Kew, Harvard University Herbaria & Libraries and Australian National Botanic Gardens
• 6. Jones L. et al. 2021. Barcode UK: A complete DNA barcoding resource for the flowering plants and conifers of the United Kingdom. Molecular Ecology Resources 21(6): 2050–2062 https://doi.org/10.1111/1755–0998.13388
• 7. Kattge J. et al. 2020. TRY plant trait database – enhanced coverage and open access. Global Change Biology 26, 119–188, https://doi.org/10.1111/gcb.14904.
• 8. Pierce S. et al. 2017. A global method for calculating plant CSR ecological strategies applied across biomes world-wide. Functional Ecology 31(2), 444–457.
• 9. Schleuning M. et al. 2020. Trait-based assessments of climate-change impacts on interacting species. Trends in Ecology & Evolution 35(4), 319–328.
• 10. Semenyutina A., Lazarev S., Melnik K. 2019. Assessment of reproductive capacity of representatives of ancestral complexes and especially their selection of seed in dry conditions. World Ecology Journal, 9(1), 1–23. https://doi.org/https://doi.org/10.25726/NM.2019.66.65.001
• 11. Taran S. & Kolganova I. 2018. Optimization of park plantings in the regions of Rostov-on-Don and Novocherkassk by introducing into gardening species of the genus ACER L. World Ecology Journal, 8(3), 56–70. https://doi.org/https://doi.org/10.25726/NM.2019.31.46.004
• 12. Tikhonov G. et al. 2020. Joint species distribution modelling with the R package HMSC. Methods in Ecology and Evolution 11(3), 442–447.
• 13. Tsembelev M. 2018. Studies on the drought tolerance of species of the genus CELTIS L. for forest reclamation plantations. World Ecology Journal, 8(3), 71–85. https://doi.org/https://doi.org/10.25726/NM.2019.44.92.005