Testing the effect of site selection and parameter setting on REVEALS-model estimates of plant abundance using the Czech Quaternary Palynological Database

Mazier, Florence; Gaillard, Marie-José; Kuneš, Petr; Sugita, S.; Trondman, Anna-Kari; Broström, Anna

doi:10.1016/j.revpalbo.2012.07.017

Cited by 153 publications

(329 citation statements)

References 40 publications

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“…This assumption has effectively also been made previously (Hellman et al, 2008) and more recently by the LANDCLIM project (Gaillard et al, 2010). Mazier et al (2012a) showed that different values of Z max (i.e. 50, 100 and 200 km) did not affect the vegetation reconstruction obtained from fossil pollen data via the LRA approach.…”

Section: Location Of the Sample Pointsupporting

confidence: 54%

“…Sugita, 2007aSugita, , 2007bBunting and Middleton, 2009) assume that the pollen productivity of a given taxon relative to other taxa is effectively constant in space and time (that is, that the pollen production of all the taxa of interest responds to changes in climate or landscape structure in the same way). Considerable research effort has been invested in measuring Relative Pollen Productivity and multiple studies in northern Europe since 2001 have indicated wide variations in estimated values for common taxa (reviewed in Broström et al, 2008;Mazier et al 2012a). Bunting and Hjelle (2010) showed that one important element in the range of RPP estimates from different studies is variation in the methods of vegetation data collection.…”

Section: Introductionmentioning

confidence: 99%

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Palynological perspectives on vegetation survey: a critical step for model-based reconstruction of Quaternary land cover

Bunting

Farrell

Broström

et al. 2013

Quaternary Science Reviews

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Pollen dispersal and deposition models Pollen surface sample PrenticeeSugita model of pollen dispersal and deposition Remote sensing data Sutton model Vegetation data processing a b s t r a c t 1. Quantitative reconstruction of past vegetation distribution and abundance from sedimentary pollen records provides an important baseline for understanding long term ecosystem dynamics and for the calibration of earth system process models such as regional-scale climate models, widely used to predict future environmental change. Most current approaches assume that the amount of pollen produced by each vegetation type, usually expressed as a relative pollen productivity term, is constant in space and time.2. Estimates of relative pollen productivity can be extracted from extended R-value analysis (Parsons and Prentice, 1981) using comparisons between pollen assemblages deposited into sedimentary contexts, such as moss polsters, and measurements of the present day vegetation cover around the sampled location. Vegetation survey method has been shown to have a profound effect on estimates of model parameters (Bunting and Hjelle, 2010), therefore a standard method is an essential pre-requisite for testing some of the key assumptions of pollen-based reconstruction of past vegetation; such as the assumption that relative pollen productivity is effectively constant in space and time within a region or biome.3. This paper systematically reviews the assumptions and methodology underlying current models of pollen dispersal and deposition, and thereby identifies the key characteristics of an effective vegetation survey method for estimating relative pollen productivity in a range of landscape contexts.4. It then presents the methodology used in a current research project, developed during a practitioner workshop. The method selected is pragmatic, designed to be replicable by different research groups, usable in a wide range of habitats, and requiring minimum effort to collect adequate data for model calibration rather than representing some ideal or required approach. Using this common methodology will allow project members to collect multiple measurements of relative pollen productivity for major plant taxa from several northern European locations in order to test the assumption of uniformity of these values within the climatic range of the main taxa recorded in pollen records from the region.

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Section: Location Of the Sample Pointsupporting

confidence: 54%

Section: Introductionmentioning

confidence: 99%

Palynological perspectives on vegetation survey: a critical step for model-based reconstruction of Quaternary land cover

Bunting

Farrell

Broström

et al. 2013

Quaternary Science Reviews

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“…The variability of pollen assemblages from small sites is often high, which explains the large error estimates on REVEALS results based on pollen data from small sites. Empirical tests (Mazier et al 2012;Fyfe et al 2013) using pollen data from multiple small sites (lakes and/or bogs) support the theory, i.e. the results from Sugita simulations (2007a).…”

Section: Figmentioning

confidence: 65%

“…Moreover, pollen productivity estimates (PPEs)-a parameter required for the application of REVEALS-are available for the major plant taxa of the region (e.g. Broström et al 2008;Mazier et al 2012) and the REVEALS model was tested using modern pollen and vegetation data of that same region and was shown to perform satisfactorily (Hellman et al 2008a, b).…”

Section: Figmentioning

confidence: 99%

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Are pollen records from small sites appropriate for REVEALS model-based quantitative reconstructions of past regional vegetation? An empirical test in southern Sweden

Trondman

Gaillard

Sugita

et al. 2015

Veget Hist Archaeobot

103

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In this paper we test the performance of the Regional Estimates of VEgetation Abundance from Large Sites (REVEALS) model using pollen records from multiple small sites. We use Holocene pollen records from large and small sites in southern Sweden to identify what is/are the most significant variable(s) affecting the REVEALS-based reconstructions, i.e. type of site (lakes and/or bogs), number of sites, site size, site location in relation to vegetation zones, and/or distance between small sites and large sites. To achieve this objective we grouped the small sites according to (i) the two major modern vegetation zones of the study region, and (ii) the distance between the small sites and large lakes, i.e. small sites within 50, 100, 150, or 200 km of the large lakes. The REVEALS-based reconstructions were performed using 24 pollen taxa. Redundancy analysis was performed on the results from all REVEALS-model runs using the groups within (i) and (ii) separately, and on the results from all runs using the groups within (ii) together. The explanatory power and significance of the variables were identified using forward selection and Monte Carlo permutation tests. The results show that (a) although the REVEALS model was designed for pollen data from large lakes, it also performs well with pollen data from multiple small sites in reconstructing the percentage cover of groups of plant taxa (e.g. open land taxa, summer-green trees, evergreen trees) or individual plant taxa; however, in the case of this study area, the reconstruction of the percentage cover of Calluna vulgaris, Cyperaceae, and Betula may be problematic when using small bogs; (b) standard errors of multiple small-site REVEALS estimates will generally be larger than those obtained using pollen records from large lakes, and they will decrease with increasing size of pollen counts and increasing number of small sites; (c) small lakes are better to use than small bogs if the total number of small sites is low; and (d) the size of small sites and the distance between them do not play a major role, but the distance between the small sites and landscape/vegetation boundaries is a determinant factor for the accuracy of the vegetation reconstructions.

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When beggars are choosers—How nesting of a solitary bee is affected by temporal dynamics of pollen plants in the landscape

Persson

Mazier

Smith

2018

Ecology and Evolution

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Wild bees are declining in intensively farmed regions worldwide, threatening pollination services to flowering crops and wild plants. To halt bee declines, it is essential that conservation actions are based on a mechanistic understanding of how bee species utilize landscapes. We aimed at teasing apart how foraging resources in the landscape through the nesting season affected nesting and reproduction of a solitary bee in a farmland region. We investigated how availability of floral resources and potentially resource‐rich habitats surrounding nests affected nest provisioning and reproduction in the solitary polylectic bee Osmia bicornis. The study was performed in 18 landscape sectors dominated by agriculture, but varying in agricultural intensity in terms of proportion of organic crop fields and seminatural permanent pastures. Pasture‐rich sectors contained more oak (Quercus robur), which pollen analysis showed to be favored forage in early season. More oaks ≤100 m from nests led to higher proportions of oak pollen in nest provisions and increased speed of nest construction in early season, but this effect tapered off as flowering decreased. Late‐season pollen foraging was dominated by buttercup (Ranunculus spp.), common in various noncrop habitats. Foraging trips were longer with more oaks and increased further through the season. The opposite was found for buttercup. Oak and buttercup interacted to explain the number of offspring; buttercup had a positive effect only when the number of oaks was above the mean for the studied sectors. The results show that quality of complex and pasture‐rich landscapes for O. bicornis depends on preserving existing and generating new oak trees. Lignose plants are key early‐season forage resources in agricultural landscapes. Increasing habitat heterogeneity with trees and shrubs and promoting suitable late‐flowering forbs can benefit O. bicornis and other wild bees active in spring and early summer, something which existing agri‐environment schemes seldom target.

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Testing the effect of site selection and parameter setting on REVEALS-model estimates of plant abundance using the Czech Quaternary Palynological Database

Cited by 153 publications

References 40 publications

Palynological perspectives on vegetation survey: a critical step for model-based reconstruction of Quaternary land cover

Palynological perspectives on vegetation survey: a critical step for model-based reconstruction of Quaternary land cover

Are pollen records from small sites appropriate for REVEALS model-based quantitative reconstructions of past regional vegetation? An empirical test in southern Sweden

When beggars are choosers—How nesting of a solitary bee is affected by temporal dynamics of pollen plants in the landscape

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