Phytogeography of the Fungal Genus Lycoperdon in Relation to the Opening of the Atlantic

Demoulin, V.

doi:10.1038/242123a0

Cited by 16 publications

(5 citation statements)

References 31 publications

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“…Ecological biogeographical studies in which the present distribution of organisms is analysed with regard to characteristics of the physical environment, involving modelling and predictions of distributions, have been carried out for many types of organism, but so far not for macrofungi. Historical mycogeography has, however, been established as a research field over the past few decades (Demoulin, 1973;Lange, 1974;Eckblad, 1981;Redhead, 1989;Baroni et al, 1997;Wu & Mueller, 1997;Watling, 2001;Tullos, 2005), and some studies also exist in which habitat requirements of fungi have been analysed quantitatively (ecological mycogeography; Bendiksen et al, 2004;Mathiassen & Økland, 2007). The general lack of ecological biogeographical studies of macrofungi is probably caused mainly by practical difficulties related to their largely cryptic life cycles.…”

Section: Introductionmentioning

confidence: 99%

Modelling and predicting fungal distribution patterns using herbarium data

Wollan

Bakkestuen

Kauserud

et al. 2008

Journal of Biogeography

112

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Aim The main aims of this study are: (1) to test if temperature and related parameters are the primary determinants of the regional distribution of macrofungi (as is commonly recognized for plants) ; (2) to test if the success of modelling fungal distribution patterns depends on species and distribution characteristics; and (3) to explore the potential of using herbarium data for modelling and predicting fungal species' distributions.Location The study area, Norway, spans 58-71°N latitude and 4-32°E longitude, and embraces extensive ecological gradients in a small area. MethodsThe study is based on 1020 herbarium collections of nine selected species of macrofungi and a set of 75 environmental predictor variables, all recorded in a 5 · 5-km grid covering Norway. Primarily, generalized linear model (GLM; logistic regression) analyses were used to identify the environmental variables that best accounted for the species' recorded distributions in Norway. Second, Maxent analyses (using variables identified by GLM) were used to produce predictive potential distribution maps for these species.Results Variables relating to temperature and radiation were most frequently included in the GLMs, and between 24.8% and 59.8% of the variation in singlespecies occurrence was accounted for. The fraction of variation explained by the GLMs ranged from 41.6% to 59.8% for species with restricted distributions, and from 24.8% to 39.3% for species with widespread/scattered and intermediate distributions. The two-step procedure of GLM followed by Maxent gave predictions with very high values for the area under the curve (0.927-0.997), and maps of potential distribution were generally credible.Main conclusions We show that temperature is a key factor governing the distribution of macrofungi in Norway, indicating that fungi may respond strongly to global warming. We confirm that modelling success depends partly on species and distribution characteristics, notably on how the distribution relates to the extent of the study area. Our study demonstrates that the combination of GLM and Maxent may be a fruitful approach for biogeography. We conclude that herbarium data improve insight into factors that control the distributions of fungi, of particular value for research on fleshy fungi (mushrooms), which have largely cryptic life cycles.

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Section: Introductionmentioning

confidence: 99%

Modelling and predicting fungal distribution patterns using herbarium data

Wollan

Bakkestuen

Kauserud

et al. 2008

Journal of Biogeography

112

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“…Many, if not most, of these studies deal with particular taxonomic groups at various systematic levels: an eclectic list would include Schuster (1972) and Whitmore (1973) on vascular plants; Demoulin (1973) Ascension Island in order to breed reflects behaviour continuous since the early Cenozoic when the two localities were still closely adjacent. If this explanation has generality, then Green Turtle migration routes in other parts of the world could be used to infer drift hypotheses.…”

Section: Biogeography and Earth Historymentioning

confidence: 99%

Biogeography

Stoddart

1978

Progress in Physical Geography: Earth and Environment

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In my previous report I concentrated on developments in island biogeography resulting from the influence of MacArthur and Wilson's (1967) book; 1 this year I review another revolution in the concepts and methods of biogeography, deriving in large part from the recent realization of the reality of continental mobility over geological time (Axelrod and Raven, i9~2).2 Whereas island biogeography has appealed primarily to ecologists and those working over shorter time scales, this second revolution has had its greatest effects among systematists and those concerned with evolutionary relationships in the Mesozoic and Cenozoic. Perhaps for this reason the reaction to the new understanding of historical biogeography has been muted among geographers.Paradoxically the vigorous debate now taking place has sought to deny the reality of MacArthur and Wilson's primary process of dispersal; and as it becomes more concerned with methodological and philosophical issues, the new biogeography has made increasing claims to be considered predictive as well as explanatory in its formulations. I Methods and techniquesBall (1976) draws a firm distinction between three methods of operation in historical biogeography: the empirical-descriptive; the narrative; and the analytical. The first of these is the classic method of establishing distributions and their boundaries; its data are derived from the present rather than the past; and its results are given in terms of regional schemes and identified disjunctions (e.g. Wallace's Line). The narrative method seeks to provide a reasonable explanation for the patterns so established; these explanations are usually inductively-based and circumstantial, are not predictive, and are not readily testable. Most of the biogeographic syntheses of workers such as P.

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“…La micogeografía "Mycogeografia sensu Lichtwardt (1995)" también llamada biogeografía de los hongos, estudia y explica los patrones de distribución de los mismos. Es un campo relativamente nuevo con una historia reciente, en comparación a la de otros grupos de organismos (Baroni et al, 1997;Demoulin, 1973;Eckblad, 1981;Hibbett, 2001;Lange, 1974;Lumbsch et al, 2008;Pringle y Vellinga, 2006;Redhead, 1989;Skrede et al, 2011;Watling, 2001;Wu y Mueller, 1997). En las últimas décadas ha sido fuertemente impulsada por la sistemática molecular (Hibbett, 2001;Lumbsch et al, 2008;Pringle y Vellinga, 2006;Skrede et al, 2011;Watling, 2001).…”

Section: Introductionunclassified