We compared simple mathematical pollen dispersal–deposition models with Gaussian plume models. The simple mathematical models proved equal or better approximations of real world pollen dispersal–deposition. We concluded that for most standard applications, such as estimating pollen productivity or quantitative vegetation reconstructions, simple mathematical models would perform satisfactory. Such easy-to-use models may lower the threshold to employ quantitative tools to palaeoecological questions
International audiencePalaeoclimate reconstructions are based on the relationship between climate an...
Information on the spatial distribution of past vegetation on local, regional and global scales is i...
International audience1. Debate continues regarding the ecological impacts of genetically modified (...
Modelling pollen dispersal is essential to make predictions of cross-pollination rates in various en...
Pollen-trap results from the Swiss Alps 1996–2009 were used to assess the pollen dispersal–depositio...
Quantitative reconstruction of vegetation from fossil pollen data makes is possible to learn about h...
1. Quantitative reconstruction of past vegetation distribution and abundance from sedimentary pollen...
Our present understanding of pollen dispersal by wind (anemophily) is quite limited. Due to the sto...
1. Quantitative reconstruction of past vegetation distribution and abundance from sedimentary pollen...
In this paper we use a simulation approach to explore the effect of variation in taxon parameters an...
Modeling pollen dispersal to predict cross-pollination is of great importance for the ongoing discu...
SIGLEAvailable from British Library Document Supply Centre- DSC:5406.34(v.3 pt.6) / BLDSC - British ...
International audienceInformation on the spatial distribution of past vegetation on local, regional ...
Quantitative understanding of vegetation dynamics over timespans beyond a century remains limited. I...
We develop a prognostic model called Pollen Emissions for Climate Models (PECM) for use within regi...
International audiencePalaeoclimate reconstructions are based on the relationship between climate an...
Information on the spatial distribution of past vegetation on local, regional and global scales is i...
International audience1. Debate continues regarding the ecological impacts of genetically modified (...
Modelling pollen dispersal is essential to make predictions of cross-pollination rates in various en...
Pollen-trap results from the Swiss Alps 1996–2009 were used to assess the pollen dispersal–depositio...
Quantitative reconstruction of vegetation from fossil pollen data makes is possible to learn about h...
1. Quantitative reconstruction of past vegetation distribution and abundance from sedimentary pollen...
Our present understanding of pollen dispersal by wind (anemophily) is quite limited. Due to the sto...
1. Quantitative reconstruction of past vegetation distribution and abundance from sedimentary pollen...
In this paper we use a simulation approach to explore the effect of variation in taxon parameters an...
Modeling pollen dispersal to predict cross-pollination is of great importance for the ongoing discu...
SIGLEAvailable from British Library Document Supply Centre- DSC:5406.34(v.3 pt.6) / BLDSC - British ...
International audienceInformation on the spatial distribution of past vegetation on local, regional ...
Quantitative understanding of vegetation dynamics over timespans beyond a century remains limited. I...
We develop a prognostic model called Pollen Emissions for Climate Models (PECM) for use within regi...
International audiencePalaeoclimate reconstructions are based on the relationship between climate an...
Information on the spatial distribution of past vegetation on local, regional and global scales is i...
International audience1. Debate continues regarding the ecological impacts of genetically modified (...