Pollen productivity estimates and relevant source area of pollen for selected plant taxa in a pasture woodland landscape of the Jura Mountains (Switzerland)
(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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https://lup.lub.lu.se/record/1034202
- author
- Mazier, Florence ; Broström, Anna LU ; Gaillard, M-J ; Sugita, S ; Vittoz, P and Buttler, A
- organization
- publishing date
- 2008
- 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}},
}