caa a22 4500 475750888 CHVBK 20180406123523.0 cr unu---uuuuu 170329e20000401xx s 000 0 eng 10.1023/A:1009897822424 doi (NATIONALLICENCE)springer-10.1023/A:1009897822424 A probabilist model of the relations between pollen and climate and its application to 80 European annual spectra [Elektronische Daten] [G. Grandjouan, P. Cour, R. Gros] The relation between pollen and climate is commonly computed by regressing the climatical factor. The disadvantage of this method is that it does not respect the ordinal and intermittent nature of field data. This paper overcomes the artefacts created by this problem by using a probabilist calibration, that quantifies the ecological linkage between a taxon T and a factor with a general parameter, the probability PROX for an abundance A being confined near the rank F of the factor. Confining simulates the effect of the factor upon the concentration of presences and ordering of abundances, and calibrates the climatical behaviour of a taxon with the set of PROX for all possible pairs (A,F). It summarizes a behaviour with the probable position of each abundance A in the range of the factor. Calibration was applied to 130 pollen taxa observed in a network of 80 standardized annual aeropollinic spectra. Spectra were mostly from France, the rest being from a transect stretching from Sweden to Algeria. Spectra were characterized by the values of 10 climatic factors, as well as the presence and abundance of 130 pollen taxa. The influence of geographical climate differences upon pollen content in the atmosphere was quantified by comparing the spectra. Pairs from different localities but the same year were compared. The reliability of indicator taxa was tested by estimating the climate in the 80 spectra using calibration. For all the taxa observed in a spectrum, the envelope of confinings generally followed an unimodal gradient, whose mode was the probable position of the spectrum. Reliability of the estimate was measured by its accuracy, being the agreement between estimates and measures; and by its stability, being the agreement between two estimates from the same climate according to two different flora (the two halves of a spectrum for instance). Average accuracy was 72%, and average stability 87%. Kluwer Academic Publishers, 2000 Accuracy nationallicence Concentration nationallicence Indicator nationallicence Intermittence nationallicence Ordering nationallicence Stability nationallicence Grandjouan G. Laboratoire de Palynologie, Université de Montpellier 2, Place Eugène Batillon, F34095, Montpellier Cedex 5, France aut Cour P. Laboratoire de Palynologie, Université de Montpellier 2, Place Eugène Batillon, F34095, Montpellier Cedex 5, France aut Gros R. Laboratoire de Palynologie, Université de Montpellier 2, Place Eugène Batillon, F34095, Montpellier Cedex 5, France aut Plant Ecology Kluwer Academic Publishers 147/2(2000-04-01), 147-163 1385-0237 147:2<147 2000 147 11258 https://doi.org/10.1023/A:1009897822424 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1023/A:1009897822424 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Grandjouan G. Laboratoire de Palynologie, Université de Montpellier 2, Place Eugène Batillon, F34095, Montpellier Cedex 5, France aut NATIONALLICENCE 700 1- Cour P. Laboratoire de Palynologie, Université de Montpellier 2, Place Eugène Batillon, F34095, Montpellier Cedex 5, France aut NATIONALLICENCE 700 1- Gros R. Laboratoire de Palynologie, Université de Montpellier 2, Place Eugène Batillon, F34095, Montpellier Cedex 5, France aut NATIONALLICENCE 773 0- Plant Ecology Kluwer Academic Publishers 147/2(2000-04-01), 147-163 1385-0237 147:2<147 2000 147 11258 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer