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Quantitative vegetation reconstruction from pollen analysis and historical inventory data around a Danish small forest hollow

Overballe-Petersen, Mette Venas ; Nielsen, Anne Birgitte LU orcid and Bradshaw, Richard H. W. (2013) In Journal of Vegetation Science 24(4). p.755-771
Abstract
Questions Can the model performance of the landscape reconstruction algorithm (LRA) for small forest hollows be validated through comparison to inventory-based vegetation reconstructions from the last 150yrs? Does the application of LRA and the comparison to historical data enhance interpretation of the pollen record? Location Denmark. The Gribskov-Ostrup small forest hollow (56 degrees N, 12 degrees 20E, 44m a.s.l.) in the forest of Gribskov, eastern Denmark. Methods Pollen analysis was carried out on a small forest hollow, and LRA used to derive pollen-based quantitative estimates of past vegetation. Historical forest inventory data and maps were used to reconstruct the vegetation within three different circles around the hollow (20, 50... (More)
Questions Can the model performance of the landscape reconstruction algorithm (LRA) for small forest hollows be validated through comparison to inventory-based vegetation reconstructions from the last 150yrs? Does the application of LRA and the comparison to historical data enhance interpretation of the pollen record? Location Denmark. The Gribskov-Ostrup small forest hollow (56 degrees N, 12 degrees 20E, 44m a.s.l.) in the forest of Gribskov, eastern Denmark. Methods Pollen analysis was carried out on a small forest hollow, and LRA used to derive pollen-based quantitative estimates of past vegetation. Historical forest inventory data and maps were used to reconstruct the vegetation within three different circles around the hollow (20, 50 and 200m ring widths) for five time periods during the last 150yrs. The results of the two approaches were compared in order to evaluate model performance, and the LRA-based reconstruction used to describe how the model changes interpretation of vegetation development during the last ca. 6500yrs compared to the use of pollen percentages alone. Results Distance-weighted inventory-based reconstructions within 200m of the hollow's edge provide the best match with the LRA-modelled vegetation. Precise validation of the model is not possible due to insufficient historical data, but the comparison indicates that the LRA reconstruction for Gribskov tends to (1) underestimate tree cover and overestimate open areas, (2) give a too high representation of on-site pollen types, (3) give an underestimation of Fagus and (4) a small overestimation of Quercus and Corylus. Despite these uncertainties, application of the LRA model shows a higher degree of openness than would be apparent from the uncorrected pollen diagram, and makes it possible to attempt to distinguish changes at the local scale from regional vegetation changes, thus giving a clearer picture of the vegetation changes at the site. Conclusions We demonstrate that the estimates of the LRA model applied to pollen data from small forest hollows can be compared with small-scale historical data to evaluate model performance. (Less)
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author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Denmark, Forest history, Gribskov, Historical maps, LOVE, LRA, Palynology, REVEALS
in
Journal of Vegetation Science
volume
24
issue
4
pages
755 - 771
publisher
International Association of Vegetation Science
external identifiers
  • wos:000320114600017
  • scopus:84880318809
ISSN
1654-1103
DOI
10.1111/jvs.12007
language
English
LU publication?
yes
id
a1eacce5-b720-4a21-8105-129a74e6ee30 (old id 3921083)
date added to LUP
2016-04-01 10:23:43
date last changed
2022-03-19 20:20:57
@article{a1eacce5-b720-4a21-8105-129a74e6ee30,
  abstract     = {{Questions Can the model performance of the landscape reconstruction algorithm (LRA) for small forest hollows be validated through comparison to inventory-based vegetation reconstructions from the last 150yrs? Does the application of LRA and the comparison to historical data enhance interpretation of the pollen record? Location Denmark. The Gribskov-Ostrup small forest hollow (56 degrees N, 12 degrees 20E, 44m a.s.l.) in the forest of Gribskov, eastern Denmark. Methods Pollen analysis was carried out on a small forest hollow, and LRA used to derive pollen-based quantitative estimates of past vegetation. Historical forest inventory data and maps were used to reconstruct the vegetation within three different circles around the hollow (20, 50 and 200m ring widths) for five time periods during the last 150yrs. The results of the two approaches were compared in order to evaluate model performance, and the LRA-based reconstruction used to describe how the model changes interpretation of vegetation development during the last ca. 6500yrs compared to the use of pollen percentages alone. Results Distance-weighted inventory-based reconstructions within 200m of the hollow's edge provide the best match with the LRA-modelled vegetation. Precise validation of the model is not possible due to insufficient historical data, but the comparison indicates that the LRA reconstruction for Gribskov tends to (1) underestimate tree cover and overestimate open areas, (2) give a too high representation of on-site pollen types, (3) give an underestimation of Fagus and (4) a small overestimation of Quercus and Corylus. Despite these uncertainties, application of the LRA model shows a higher degree of openness than would be apparent from the uncorrected pollen diagram, and makes it possible to attempt to distinguish changes at the local scale from regional vegetation changes, thus giving a clearer picture of the vegetation changes at the site. Conclusions We demonstrate that the estimates of the LRA model applied to pollen data from small forest hollows can be compared with small-scale historical data to evaluate model performance.}},
  author       = {{Overballe-Petersen, Mette Venas and Nielsen, Anne Birgitte and Bradshaw, Richard H. W.}},
  issn         = {{1654-1103}},
  keywords     = {{Denmark; Forest history; Gribskov; Historical maps; LOVE; LRA; Palynology; REVEALS}},
  language     = {{eng}},
  number       = {{4}},
  pages        = {{755--771}},
  publisher    = {{International Association of Vegetation Science}},
  series       = {{Journal of Vegetation Science}},
  title        = {{Quantitative vegetation reconstruction from pollen analysis and historical inventory data around a Danish small forest hollow}},
  url          = {{http://dx.doi.org/10.1111/jvs.12007}},
  doi          = {{10.1111/jvs.12007}},
  volume       = {{24}},
  year         = {{2013}},
}