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.

Modern pollen-vegetation-climate relationships and pollen productivity estimates for common East Siberian taxa

2021 ◽  
Author(s):  
Rongwei Geng ◽  
Andrei Andreev ◽  
Stefan Kruse ◽  
Yan Zhao ◽  
Ulrike Herzschuh ◽  
...  
Keyword(s):  
Field Survey ◽  
Source Area ◽  
Soil Samples ◽  
Lake Surface ◽  
East Siberia ◽  
Climate Conditions ◽  
Modern Pollen ◽  
Pollen Productivity ◽  
Paleoclimate Reconstructions ◽  
R Value

&lt;p&gt;East Siberia is an ideal area for investigating the relationships between modern pollen assemblages and vegetation under the extremely cold and dry climate conditions. These relationships are the basis of paleovegetation and paleoclimate reconstructions from fossil pollen records. Pollen productivity estimates (PPE) are required for reliable pollen-based quantitative vegetation reconstructions. Here, we present a new pollen dataset of 48 moss/soil and 24 lake surface sediment samples collected from Chukotka and Yakutia. Generally, tundra and taiga vegetation sites can be well distinguished in the surface pollen assemblages from East Siberia. Moss/soil and lake samples have mostly similar pollen assemblages but contents of some pollen taxa may vary significantly in different sample types. We classified drone images based on field survey to obtain high-resolute vegetation data. Pollen counts in moss/soil samples and vegetation data can? be used in the Extended R-Value (ERV) model to estimate the relevant source area of pollen (RSAP) and the PPEs of major plant taxa. The result of PPE calculation for most common taxa (Alnus, Betula, Cyperaceae, Ericaceae, Larix, Pinus and Salix) can be used to improve vegetation reconstructions.&lt;/p&gt;

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.

More reliable pollen productivity estimates and relative source area of pollen in a forest-steppe ecotone with improved vegetation survey

The Holocene ◽  
2017 ◽  
Vol 27 (10) ◽  
pp. 1567-1577 ◽  
Author(s):  
Yue Han ◽  
Hongyan Liu ◽  
Qian Hao ◽  
Xu Liu ◽  
Weichao Guo ◽  
...  
Keyword(s):  
Source Area ◽  
Forest Steppe ◽  
Vegetation Survey ◽  
Pollen Productivity

The diet and vegetation composition of Egyptian tortoise habitat in North Sinai, Egypt

2021 ◽  
pp. 1-12
Author(s):  
Omar Attum ◽  
Basem Rabia ◽  
Magdy El-Bana ◽  
Sherif Baha El Din
Keyword(s):  
Vegetation Cover ◽  
Diversity Index ◽  
Food Preferences ◽  
Arid Environment ◽  
Vegetation Composition ◽  
Vegetation Survey ◽  
Direct Observations ◽  
High Species Richness ◽  
Line Transects ◽  
North Sinai

Abstract We studied the diet and vegetation composition of Egyptian tortoise, Testudo kleinmanni, habitat in North Sinai, Egypt. Dietary data was recorded through direct observations and the vegetation composition was recorded through the use of quadrats and line transects in 66 sampling points (33 in tortoise areas and 33 in non-tortoise areas). Our results showed that vegetation of Egyptian tortoise habitat had high species richness, Simpson’s diversity index, and vegetation cover in contrast to areas without Egyptian tortoises. These tortoises ate thirty four species of plants, a majority of these being perennials, with most feeding observations occurring in spring and winter. The consumption of perennials may enable Egyptian tortoises to find and consume food in an arid environment with low, variable and unpredictable rainfall. The plants most consumed were rare in our vegetation survey, suggesting food preferences. Our study suggests that Egyptian tortoises, which rely on vegetation for food and refugia, may suffer if vegetation cover and richness decrease.

Pollen productivity estimates for quantitative reconstruction of vegetation cover on the Swiss Plateau

The Holocene ◽  
2007 ◽  
Vol 17 (1) ◽  
pp. 65-77 ◽  
Author(s):  
Welmoed Soepboer ◽  
Shinya Sugita ◽  
André F. Lotter ◽  
Jacqueline F.N. van Leeuwen ◽  
Willem O. van der Knaap
Keyword(s):  
Vegetation Cover ◽  
Quantitative Reconstruction ◽  
Pollen Productivity ◽  
Swiss Plateau

scholarly journals GIS modelling for locating the risk zone of soil erosionin a deciduous forest

2013 ◽  
Vol 59 (No. 2) ◽  
pp. 87-91 ◽  
Author(s):  
M. Nasiri
Keyword(s):  
Land Use ◽  
Soil Erosion ◽  
Water Conservation ◽  
Vegetation Cover ◽  
Deciduous Forest ◽  
Pairwise Comparison ◽  
Geographical Information ◽  
Conservation Areas ◽  
Erosion Risk ◽  
Highest Weight

The maps of altitude, geology, vegetation cover and land use were prepared and classified as the main criteria to locate soil and water conservation programs. Analytical Hierarchy Process (AHP) was used to determine the relative priorities of these criteria by pairwise comparison. All the thematic maps were then integrated using the overlay process in Geographical Information System (GIS) and the final map of soil erosion risk was produced. Results indicated that vegetation cover was given the highest weight (0.494). The geology was assigned the second highest weight (0.313), as the main cause of initiation of the erosion of erodible lands. Land-use change has a local influence on soil erosion, so it was assigned the third weight (0.151). Altitude is a low-impact variable for predicting the water and soil conservation areas. &nbsp;

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 Estimates of catchment area of pitfall traps for carabids

2019 ◽  
Vol 2 ◽  
Author(s):  
Colin Bergeron
Keyword(s):  
Boreal Forest ◽  
Catchment Area ◽  
Linear Models ◽  
Deciduous Forest ◽  
Species Level ◽  
Pitfall Traps ◽  
Circular Field ◽  
C 30 ◽  
Mixedwood Boreal Forest ◽  
The Relationship

Relationships between beetle abundance in the field and data collected from pitfall traps has generated much interest from several generations of carabidologists. Despite the argument and controversy about this relationship, pitfall data remain the main source of knowledge about carabid populations and assemblages in nature. In order to estimate the relationship between pitfall catches of carabids and catchment area in a homogenous deciduous forest, we constructed circular field enclosures of three sizes (radii: 2.5m, 5m and 10m) and sampled carabids using single pitfall traps located in the centre of each enclosure over 3 seasons (2014-2016). We found that overall beetle catches increased linearly with enclosure area during all three years, and the linear models were nearly identical for the two years (2014 and 2016) in which the data were comparable. We then extrapolated the relationship to predict the catchment area using unenclosed traps run simultaneously. For data from both 2014 and 2016, the catchment area for the assemblage is predicted to be 620-640 m2, representing a radius of c. 14.3 m. Interestingly, this value is consistent with the published inter-trap distance required for independence of trap captures at the same site. Unfortunately, but as expected, calibration of pitfall data at the species level is challenging because the best linear model fits vary considerably among species. Trap catchment area also increased during breeding season. Clearly, pitfall traps need to be set at least c. 30 meters apart to ensure independence of samples in mixedwood boreal forest.

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