The REVEALS model, a new tool to estimate past regional plant abundance from pollen data in large lakes: validation in southern Sweden

2007 ◽  
Vol 23 (1) ◽  
pp. 21-42 ◽  
Author(s):  
Sofie Hellman ◽  
Marie-José Gaillard ◽  
Anna Broström ◽  
Shinya Sugita
Keyword(s):  
Southern Sweden ◽  
Pollen Data ◽  
Plant Abundance ◽  
Large Lakes ◽  
Reveals Model

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

2021 ◽  
Vol 5 (1) ◽  
pp. 86-93
Author(s):  
Stoyan Ivanov Vergiev ◽  
Mariana Filipova-Marinova ◽  
Daniela Toneva ◽  
Todorka Stankova ◽  
Diyana Dimova ◽  
...  
Keyword(s):  
Source Area ◽  
Critical Parameters ◽  
Vegetation Composition ◽  
Pollen Data ◽  
Plant Abundance ◽  
Pollen Type ◽  
Modern Pollen ◽  
Downstream Region ◽  
Pollen Productivity ◽  
Gis Environment

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.

Calibration of regional pollen data to construct maps of former forest types in southern Sweden

1996 ◽  
Vol 16 (1) ◽  
Author(s):  
Gisela Bj�rse ◽  
RichardH.W. Bradshaw ◽  
DanielB. Michelson
Keyword(s):  
Forest Types ◽  
Southern Sweden ◽  
Pollen Data ◽  
Construct Maps

Extending the applicability of the REVEALS model for pollen-based vegetation reconstructions to coastal lagoons

The Holocene ◽  
2019 ◽  
Vol 29 (7) ◽  
pp. 1109-1112
Author(s):  
Julien Azuara ◽  
Florence Mazier ◽  
Vincent Lebreton ◽  
Shinya Sugita ◽  
Nicolas Viovy ◽  
...  
Keyword(s):  
Environmental Changes ◽  
Coastal Lagoons ◽  
Pollen Dispersal ◽  
Local Scale ◽  
Mechanistic Models ◽  
Pollen Data ◽  
Plant Abundance ◽  
Quantitative Reconstruction ◽  
Quantitative Estimates ◽  
Lake Deposits

Quantitative reconstruction of past plant abundance from fossil pollen data is still a challenging task for palynologists. During the last decades, mechanistic methods have been developed to convert pollen assemblages from peat and lake deposits into vegetation abundance at regional and local scale. Coastal areas are particularly sensitive to climate and environmental hazards. Thus, quantitative estimates of past vegetation are important to better understand their history and address potential effects of future environmental changes. However, assumptions of the mechanistic models of pollen dispersal and deposition originally designed for near-circular lakes and bogs located inland are violated when applied to coastal sites because of different basin shape and wind direction distribution. This study investigates how to adapt a model of pollen dispersal and deposition developed for lakes to coastal lagoons. A new geometry is defined, and it is demonstrated how some of the major formulas from previous models can be used without any modification in this singular context.

Relative pollen productivity estimates and changes in Holocene vegetation cover in the deciduous forest of southeastern Quebec, Canada

Botany ◽  
2018 ◽  
Vol 96 (5) ◽  
pp. 299-317 ◽  
Author(s):  
Michelle A. Chaput ◽  
Konrad Gajewski
Keyword(s):  
Vegetation Cover ◽  
Deciduous Forest ◽  
Source Area ◽  
Species Level ◽  
Vegetation Survey ◽  
Pollen Data ◽  
Regional Estimates ◽  
Pollen Productivity ◽  
R Value ◽  
Reveals Model

The Regional Estimates of VEgetation Abundance from Large Sites (REVEALS) model was used to quantify Holocene changes in vegetation cover in the deciduous forest of southeastern Quebec, Canada. The Extended R-Value (ERV) model was used to obtain relative pollen productivity estimates (PPEs) for eight tree taxa and to determine the relevant source area of pollen (RSAP) for lakes in this ecosystem. Modern vegetation was estimated using pollen data from 16 small (<0.5 km2) lakes and a species-level vegetation survey of southern Quebec. The RSAP was estimated to be within 1600 m of the lakes. Tsuga, Fagus, and Quercus were the most productive taxa, and Populus and Acer were the lowest. Reconstructed changes in absolute vegetation cover show a high abundance of Picea followed by Populus in the early Holocene. The reconstructed values for Populus suggest that it was widely distributed across the landscape. Abies and Acer were dominant on the landscape during the late to mid-Holocene, and an increase in Picea during the Neoglacial is more significant than in percentage diagrams. The REVEALS results provide estimates of land-cover change that are more realistic and informative than the use of pollen percentages alone.

Testing the Landscape Reconstruction Algorithm for spatially explicit reconstruction of vegetation in northern Michigan and Wisconsin

2010 ◽  
Vol 74 (2) ◽  
pp. 289-300 ◽  
Author(s):  
Shinya Sugita ◽  
Tim Parshall ◽  
Randy Calcote ◽  
Karen Walker
Keyword(s):  
Permutation Test ◽  
Source Area ◽  
Reconstruction Algorithm ◽  
Training Data ◽  
Vegetation Composition ◽  
Pollen Data ◽  
Large Lakes ◽  
Quantitative Reconstruction ◽  
Landscape Reconstruction ◽  
Northern Michigan

AbstractThe Landscape Reconstruction Algorithm (LRA) overcomes some of the fundamental problems in pollen analysis for quantitative reconstruction of vegetation. LRA first uses the REVEALS model to estimate regional vegetation using pollen data from large sites and then the LOVE model to estimate vegetation composition within the relevant source area of pollen (RSAP) at small sites by subtracting the background pollen estimated from the regional vegetation composition. This study tests LRA using training data from forest hollows in northern Michigan (35 sites) and northwestern Wisconsin (43 sites). In northern Michigan, surface pollen from 152-ha and 332-ha lakes is used for REVEALS. Because of the lack of pollen data from large lakes in northwestern Wisconsin, we use pollen from 21 hollows randomly selected from the 43 sites for REVEALS. RSAP indirectly estimated by LRA is comparable to the expected value in each region. A regression analysis and permutation test validate that the LRA-based vegetation reconstruction is significantly more accurate than pollen percentages alone in both regions. Even though the site selection in northwestern Wisconsin is not ideal, the results are robust. The LRA is a significant step forward in quantitative reconstruction of vegetation.

scholarly journals Composition and abundance of oligochaetes in Scandinavian lakes in the 1970s in full compatibility with the ”morpho-edaphic index”. Do these relationships still hold 40 years later? 

Zoosymposia ◽  
2020 ◽  
Vol 17 (1) ◽  
pp. 77-88
Author(s):  
GÖRAN MILBRINK
Keyword(s):  
Sewage Treatment ◽  
Bottom Fauna ◽  
Southern Sweden ◽  
Large Lakes ◽  
Chironomid Larvae ◽  
Characteristic Species ◽  
The 1960S ◽  
Robust Measures ◽  
The Relationship ◽  
Trophic Change

In the 1960s it became fairly well-known that biological indices through their supposedly integrative power could be more robust measures of the water quality than separate chemical data. Oligochaetes and chironomid larvae in the bottom fauna hereby played an important role. Precision, however, increased dramatically if the relationship between oligochaetes and the so-called morpho-edaphic index, i.e. the average total phosphorus content in µg/l divided by the mean depth (in meters) of the lake (Ryder et al., 1974), was used in stead (Milbrink, 1978). The percentage composition and total abundance of oligochaetes in a number of lakes or selected basins of large lakes in southern Sweden and Norway were thus tested against this index in the 1970s. In logarithmic scales these relationships turned out to be more or less linear. The immediate conclusions were then that this method of classifying lakes could be of considerable scientific as well as practical value. Today we know a lot more about the ecological preferences of oligochaete species and characteristic species associations. The oligochaete fauna of the large lakes of southern Sweden, Mälaren, Vättern, Vänern and Hjälmaren, have been studied in detail over many years—over 100 years in the first three of these lakes and in the last lake for over 50-years. Effects of generally applied advanced sewage treatment in Sweden since the late 1960s are easily recognizable in the material. We have a situation of oligotrophication. With our new knowledge it comes natural today to study changes in species composition after trophic change and to investigate if the above close relationships in abundance are still largely linear.

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