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The Verijarv area, South Estonia over the last millennium: A high resolution quantitative land-cover reconstruction based on pollen and historical data

Poska, Anneli ; Saarse, Leili ; Koppel, Kalev ; Nielsen, Anne Birgitte LU orcid ; Avel, Eve ; Vassiljev, Jueri and Vaeli, Vivika (2014) In Review of Palaeobotany and Palynology 207. p.5-17
Abstract
Integration of palynological proxies with annual lamina counting, C-14, Pb-210, Cs-137 and Am-241 radiometric dating, historical documents and old cadastral maps enabled reconstruction of changes in the cultural landscape resulting from extensive forest clearance, arable farming and slash-and-burn practices in South Estonia over the last millennium. Changes in land-cover were quantitatively reconstructed using Landscape Reconstruction Algorithm (LRA) models. These reconstructions are in accordance with historical data from the last century, while reconstructions for the late 19th century time-slice exhibit a considerably more open landscape with a higher portion of cultivated land than that recorded on maps, and possible reasons for this... (More)
Integration of palynological proxies with annual lamina counting, C-14, Pb-210, Cs-137 and Am-241 radiometric dating, historical documents and old cadastral maps enabled reconstruction of changes in the cultural landscape resulting from extensive forest clearance, arable farming and slash-and-burn practices in South Estonia over the last millennium. Changes in land-cover were quantitatively reconstructed using Landscape Reconstruction Algorithm (LRA) models. These reconstructions are in accordance with historical data from the last century, while reconstructions for the late 19th century time-slice exhibit a considerably more open landscape with a higher portion of cultivated land than that recorded on maps, and possible reasons for this discrepancy are discussed. Taxa represented in the pollen spectrum with values <1% cannot be recommended in reconstructions, as standard deviations are usually larger than the mean cover estimates of the taxon in question. Pollen data and historical evidence suggest that the forest structure changed from fairly open wooded meadow type grazed forests during early periods to closed boreal forest communities typical of the area today. Maximum landscape openness was reached in the 1700s and 1800s, when almost all of the available land was cultivated or used for cattle rearing. Four different periods of landscape development have been differentiated: AD 1000 to 1600, semi-open (20-70%) landscape with increasing intensity of agriculture and openness; AD 1600 to 1870, open (>70%) landscape resulting from extensive agrarian activities including slash-and-burn agriculture; AD 1870 to 1950, cultural landscape with variable openness (70-80%) and AD 1950 to 2000, modern overgrowing semi-open (<70%) landscape. (C) 2014 Elsevier B.V. All rights reserved. (Less)
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author
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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Pollen analysis, Historical data, Landscape reconstruction, LRA models, Estonia
in
Review of Palaeobotany and Palynology
volume
207
pages
5 - 17
publisher
Elsevier
external identifiers
  • wos:000337879800002
  • scopus:84899936877
ISSN
0034-6667
DOI
10.1016/j.revpalbo.2014.04.001
language
English
LU publication?
yes
id
e97c3ece-893f-4946-bbb0-19048228e5b7 (old id 4608871)
date added to LUP
2016-04-01 13:34:06
date last changed
2022-02-26 21:52:43
@article{e97c3ece-893f-4946-bbb0-19048228e5b7,
  abstract     = {{Integration of palynological proxies with annual lamina counting, C-14, Pb-210, Cs-137 and Am-241 radiometric dating, historical documents and old cadastral maps enabled reconstruction of changes in the cultural landscape resulting from extensive forest clearance, arable farming and slash-and-burn practices in South Estonia over the last millennium. Changes in land-cover were quantitatively reconstructed using Landscape Reconstruction Algorithm (LRA) models. These reconstructions are in accordance with historical data from the last century, while reconstructions for the late 19th century time-slice exhibit a considerably more open landscape with a higher portion of cultivated land than that recorded on maps, and possible reasons for this discrepancy are discussed. Taxa represented in the pollen spectrum with values &lt;1% cannot be recommended in reconstructions, as standard deviations are usually larger than the mean cover estimates of the taxon in question. Pollen data and historical evidence suggest that the forest structure changed from fairly open wooded meadow type grazed forests during early periods to closed boreal forest communities typical of the area today. Maximum landscape openness was reached in the 1700s and 1800s, when almost all of the available land was cultivated or used for cattle rearing. Four different periods of landscape development have been differentiated: AD 1000 to 1600, semi-open (20-70%) landscape with increasing intensity of agriculture and openness; AD 1600 to 1870, open (&gt;70%) landscape resulting from extensive agrarian activities including slash-and-burn agriculture; AD 1870 to 1950, cultural landscape with variable openness (70-80%) and AD 1950 to 2000, modern overgrowing semi-open (&lt;70%) landscape. (C) 2014 Elsevier B.V. All rights reserved.}},
  author       = {{Poska, Anneli and Saarse, Leili and Koppel, Kalev and Nielsen, Anne Birgitte and Avel, Eve and Vassiljev, Jueri and Vaeli, Vivika}},
  issn         = {{0034-6667}},
  keywords     = {{Pollen analysis; Historical data; Landscape reconstruction; LRA models; Estonia}},
  language     = {{eng}},
  pages        = {{5--17}},
  publisher    = {{Elsevier}},
  series       = {{Review of Palaeobotany and Palynology}},
  title        = {{The Verijarv area, South Estonia over the last millennium: A high resolution quantitative land-cover reconstruction based on pollen and historical data}},
  url          = {{http://dx.doi.org/10.1016/j.revpalbo.2014.04.001}},
  doi          = {{10.1016/j.revpalbo.2014.04.001}},
  volume       = {{207}},
  year         = {{2014}},
}