Key parameters for landscape evolution and anthropogenisation estimation in the Kamchia River downstream region (Eastern Bulgaria)

  • Stoyan Ivanov Vergiev Technical University of Varna, Department of Ecology and Environmental Protection, 9010, 1 Studentska Street, Varna, Bulgaria http://orcid.org/0000-0003-4921-669X
  • Mariana Filipova-Marinova Museum of Natural History, 9000, 41 Maria Louisa Blvd., Varna, Bulgaria http://orcid.org/0000-0002-0786-9476
  • Daniela Toneva Technical University of Varna, Department of Ecology and Environmental Protection, 9010, 1 Studentska Street, Varna, Bulgaria http://orcid.org/0000-0003-1599-395X
  • Todorka Stankova Technical University of Varna, Department of Ecology and Environmental Protection, 9010, 1 Studentska Street, Varna, Bulgaria
  • Diyana Dimova Technical University of Varna, Department of Ecology and Environmental Protection, 9010, 1 Studentska Street, Varna, Bulgaria
  • Krasimir Lesidrenski Technical University of Varna, Department of Ecology and Environmental Protection, 9010, 1 Studentska Street, Varna, Bulgaria
Keywords: Landscape simulation, Pollen-vegetation relationship, Pollen Productivity Estimates, Relevant Source Area of Pollen, Northeastern Bulgaria

Abstract

Pollen productivity еstimate (PPE) and relevant source area of pollen (RSAP) are critical parameters for quantitative interpretations of pollen data in palaeolandscape and palaeoecological reconstructions, and for analyses of the landscapes evolution and anthropogenisation as well. In light of this, the present paper endeavours to calculate PPE of key plant taxa and to define the RSAP in the Kamchia River Downstream Region (Eastern Bulgaria) in order to use them in landscape simulations and estimations. For the purposes of this research, a dataset of pollen counts from 10 modern pollen samples together with corresponding vegetation data, measured around each sample point in concentric rings, were collected in 2020. Three submodels of the Extended R-Value (ERV) model were used to relate pollen percentages to vegetation composition. Therewith, in order to create a calibrated model, the plant abundance of each pollen type was weighed by distance in GIS environment. The findings led to the conclusion that most of the tree taxa have PPE higher than 1 (ERV3 submodel). Cichoriceae, Fabaceae and Asteraceae have lower PPE.

References

Andersen, S. (1970). The relative pollen productivity and pollen representation of North European trees and correction factors for tree pollen spectra. Danm. Unders., 96(2),1-99.
Crossref


Birks, H. J. B., & Birks, H. H. (1980). Quaternary palaeoecology. London: Edward Arnold.
Google Scholar


Bondev, I. (2002). Vegetation. in I. Kopralev (Ed.), Geography of Bulgaria (pp. 336–338).ForKom Publishers, Sofia (in Bulgarian).


Broström, A., Sugita, S., & Gaillard, M-J. (2004). Pollen productivity estimates for the reconstruction of past vegetation cover in the cultural landscape of southern Sweden. The Holocene. 14(3):368-381.
Crossref


Braun-Blanquet, J. (1964) Pflanzensociologie: Grundzuge der Vegetationskunde. 3te aufl. Springer-Verlag, Wein.


Bunting, M., & Middleton, R. (2005). Modelling pollen dispersal and deposition using HUMPOL software, including simulating windroses and irregular lakes. Review of Palaeobotany and Palynology, 134,185–196.
Crossref


Bunting, M., Farrell, M., Broström, A., Hjelle, K., Mazier, F., Middleton, R., Nielsen, A., Rushton, E., Shaw, H., & Twiddle, C. (2013). Palynological perspectives on vegetation survey: a critical step for model-based reconstruction of Quaternary land cover. Quaternary Science Reviews, 82,41-55.
Crossref


Coulthard, T. J. (2001). Landscape evolution models: a software review. Hydrological Processes, 15(1),165-173.
Crossref


Faegri, K., & Iversen, J. (1989). Textbook of pollen analysis. John Wiley, Sons, Chichester.


Fredh, D., Broström, A., Zillén, L., Mazier, F., Rundgren, M., & Lagerås, P. (2012). Floristic diversity in the transition from traditional to modern land-use in southern Sweden A.D. 1800–2008. Vegetation History and Archaeobotany 21(6),439-452.
Crossref


Jackson, S., & Lyford, M. (1999). Pollen dispersal models in quaternary plant ecology: assumptions, parameters, and prescriptions. Bot. Rev., 65, 39–75.
Crossref


Mazier, F., Broström, A., Gaillard, M., Sugita, S., Vittoz, P., & Buttler, A. (2008). Pollen productivity estimates and relevant source area of pollen for selected plant taxa in a pasture woodland landscape of the Jura Mountains (Switzerland). Vegetation History and Archaeobotany, 17(5), 479–495.
Crossref


Overpeck, J., Webb III, T., & Prentice, I. (1985). Quantitative interpretation of fossil pollen spectra: dissimilarity coefficients and the method of modern analogs. Quaternary Research, 23(1), 87–108.
Crossref


Parsons, R., & Prentice, I. (1981). Statistical approaches to R-values and the pollen-vegetation relationship. Review of Palaeobotany and Palynology, 32,127–152.
Crossref


Prentice, I., & Parsons, R. (1983). Maximum likelihood linear calibration of pollen spectra in terms of forest composition. Biometrics, 39,1051–1057.
Crossref


Popov, V. & Mishev K. (1974). Geomorphology of the Bulgarian Black Sea Coast and Shelf. Publishing House of the Bulgarian Academy of Sciences, Sofia, pp. 267, (in Bulgarian).


Real, L. (1983). Pollination biology. Orlando, FL: Academic Press Inc.
Google Scholar


Sugita, S. (1994). Pollen representation of vegetation in quaternary sediments: theory and method in patchy vegetation. Journal of Ecology, 881–897.
Crossref


Sugita, S., Gaillard, M., Broström, A. (1999). Landscape openness and pollen records: a simulation approach, Holocene, 9, 409–421.
Crossref


Velev. S. (2002). Climatic regions, in Geography of Bulgaria. In I. Kopralev (Ed.) Geography of Bulgaria (pp. 155–157). ForKom Publishers, Sofia, , (in Bulgarian).


Vergiev, S. (2014). Palaeoecology and geoarchaeology of upper Pleistocene and Holocene sediments from the Black Sea deep water zone and the Varna Lake. Ph. D. Thesis. IO-BAN, Varna, AI „prof. M. Drinov“, BAN, Sofia, (in Bulgarian).
Google Scholar


Vergiev, S., Filipova-Marinova, M., Giosan, L., Pavlov, & D., Slavchev, V. (2014). Pollen-based quantitative reconstruction of holocene vegetation in Varna Lake area (Northeastern Bulgaria) using modelling and simulation approach. Comptes Rendus de L'Academie Bulgare des Sciences, 67(6), 831–834
Google Scholar


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Published
2021-06-15
How to Cite
Vergiev, S., Filipova-Marinova, M., Toneva, D., Stankova, T., Dimova, D., & Lesidrenski, K. (2021, June 15). Key parameters for landscape evolution and anthropogenisation estimation in the Kamchia River downstream region (Eastern Bulgaria). ANNUAL JOURNAL OF TECHNICAL UNIVERSITY OF VARNA, BULGARIA, 5(1), 86-93. https://doi.org/10.29114/ajtuv.vol5.iss1.240
Section
TRANSPORT, NAVIGATION AND AVIATION
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