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Pollen productivity estimates and relevant source area of pollen for selected plant taxa in a pasture woodland landscape of the Jura Mountains (Switzerland)

Mazier, Florence ; Broström, Anna LU ; Gaillard, M-J ; Sugita, S ; Vittoz, P and Buttler, A (2008) In Vegetation History and Archaeobotany 17(5). p.479-495
Abstract
Abstract in Undetermined
Relevant source area of pollen (RSAP) and pollen productivity for 11 key taxa characteristic of the pasture woodland landscape of the Jura Mountains, Switzerland, were estimated using pollen assemblages from moss polsters at 20 sites. To obtain robust pollen productivity estimates (PPEs), we used vegetation survey data at a fine spatial-resolution (1 x 1 m(2)) and randomized locations for sampling sites, techniques rarely used in palynology. Three Extended R value (ERV) submodels and three distance-weighting methods for plant abundance calculation were applied. Different combinations of the submodels and distance-weighting methods provide slightly different estimates of RSAP and PPEs. Although ERV submodel 1... (More)
Abstract in Undetermined
Relevant source area of pollen (RSAP) and pollen productivity for 11 key taxa characteristic of the pasture woodland landscape of the Jura Mountains, Switzerland, were estimated using pollen assemblages from moss polsters at 20 sites. To obtain robust pollen productivity estimates (PPEs), we used vegetation survey data at a fine spatial-resolution (1 x 1 m(2)) and randomized locations for sampling sites, techniques rarely used in palynology. Three Extended R value (ERV) submodels and three distance-weighting methods for plant abundance calculation were applied. Different combinations of the submodels and distance-weighting methods provide slightly different estimates of RSAP and PPEs. Although ERV submodel 1 using 1/d (d = distance in meters) best fits the dataset, PPE values for heavy pollen types (e.g. Abies) were sensitive to the method used for distance-weighting. Taxon-specific distance-weighting methods, such as Prentice's model, emphasize the intertaxonomic differences in pollen dispersal and deposition, and are thus theoretically sound. For the dataset obtained in this project, Prentice's model was more appropriate than other distance-weighting methods to estimate PPEs. Most of the taxa have PPEs equal to (Fagus, Plantago media and Potentilla-type), or higher (Abies, Picea, Rubiaceae and Trollius europaeus) than Poaceae (PPE = 1). Acer, Cyperaceae, and Plantago montana-type are low pollen producers. This set of PPEs will be useful for reconstructing heterogeneous, mountainous pasture woodland landscapes from fossil pollen records. The RSAP for moss polsters in this semi-open landscape region is ca. 300 m. (Less)
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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
pasture woodland landscape, relevant source area of pollen (RSAP), pollen productivity estimates (PPE), extended R value submodels, distance-weighting methods, pollen-vegetation relationship, moss polsters
in
Vegetation History and Archaeobotany
volume
17
issue
5
pages
479 - 495
publisher
Springer
external identifiers
  • wos:000258317500005
  • scopus:49549100879
ISSN
0939-6314
DOI
10.1007/s00334-008-0143-0
language
English
LU publication?
yes
id
6cf2e45d-ca6c-4172-b1ea-9605bc65b095 (old id 1034202)
date added to LUP
2016-04-01 13:56:03
date last changed
2022-04-22 00:32:44
@article{6cf2e45d-ca6c-4172-b1ea-9605bc65b095,
  abstract     = {{Abstract in Undetermined<br/>Relevant source area of pollen (RSAP) and pollen productivity for 11 key taxa characteristic of the pasture woodland landscape of the Jura Mountains, Switzerland, were estimated using pollen assemblages from moss polsters at 20 sites. To obtain robust pollen productivity estimates (PPEs), we used vegetation survey data at a fine spatial-resolution (1 x 1 m(2)) and randomized locations for sampling sites, techniques rarely used in palynology. Three Extended R value (ERV) submodels and three distance-weighting methods for plant abundance calculation were applied. Different combinations of the submodels and distance-weighting methods provide slightly different estimates of RSAP and PPEs. Although ERV submodel 1 using 1/d (d = distance in meters) best fits the dataset, PPE values for heavy pollen types (e.g. Abies) were sensitive to the method used for distance-weighting. Taxon-specific distance-weighting methods, such as Prentice's model, emphasize the intertaxonomic differences in pollen dispersal and deposition, and are thus theoretically sound. For the dataset obtained in this project, Prentice's model was more appropriate than other distance-weighting methods to estimate PPEs. Most of the taxa have PPEs equal to (Fagus, Plantago media and Potentilla-type), or higher (Abies, Picea, Rubiaceae and Trollius europaeus) than Poaceae (PPE = 1). Acer, Cyperaceae, and Plantago montana-type are low pollen producers. This set of PPEs will be useful for reconstructing heterogeneous, mountainous pasture woodland landscapes from fossil pollen records. The RSAP for moss polsters in this semi-open landscape region is ca. 300 m.}},
  author       = {{Mazier, Florence and Broström, Anna and Gaillard, M-J and Sugita, S and Vittoz, P and Buttler, A}},
  issn         = {{0939-6314}},
  keywords     = {{pasture woodland landscape; relevant source area of pollen (RSAP); pollen productivity estimates (PPE); extended R value submodels; distance-weighting methods; pollen-vegetation relationship; moss polsters}},
  language     = {{eng}},
  number       = {{5}},
  pages        = {{479--495}},
  publisher    = {{Springer}},
  series       = {{Vegetation History and Archaeobotany}},
  title        = {{Pollen productivity estimates and relevant source area of pollen for selected plant taxa in a pasture woodland landscape of the Jura Mountains (Switzerland)}},
  url          = {{http://dx.doi.org/10.1007/s00334-008-0143-0}},
  doi          = {{10.1007/s00334-008-0143-0}},
  volume       = {{17}},
  year         = {{2008}},
}