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Two centuries of masting data for European beech and Norway spruce across the European continent.

  • Ascoli D Dipartimento di Agraria, University of Naples Federico II, via Università 100, 80055, Portici, Napoli, Italy.
  • Maringer J Institute for Landscape Planning and Ecology, University of Stuttgart, Keplerstrasse 11, 70174, Stuttgart, Germany.
  • Hacket-Pain A Fitzwilliam College, Storeys Way, Cambridge, United Kingdom.
  • Conedera M Insubric Research Group, Swiss Federal Research Institute WSL, a Ramèl 18, 6593, Cadenazzo, Switzerland.
  • Drobyshev I Southern Swedish Forest Research Centre, Swedish University of Agricultural Sciences, P.O. Box 49, 230 53, Alnarp, Sweden.
  • Motta R Department of Agriculture, Forest and Food Sciences, University of Turin, Largo Braccini 2, 10095, Grugliasco, Italy.
  • Cirolli M Department of Agriculture, Forest and Food Sciences, University of Turin, Largo Braccini 2, 10095, Grugliasco, Italy.
  • Kantorowicz W Department of Silviculture and Genetics of Forest Trees, Forest Research Institute, Sekocin Stary, Poland.
  • Zang C TUM School of Life Sciences Weihenstephan, Technische Universität München, Freising, Germany.
  • Schueler S Department of Forest Genetics, Federal Research and Training Centre for Forests, Natural Hazards and Landscapes (BFW), Seckendorff-Gudent-Weg 8, 1131, Vienna, Austria.
  • Croisé L Département Recherche-Développement-Innovation, RENECOFOR, Office National des Forêts, Boulevard de Constance, 77300, Fontainebleau, France.
  • Piussi P University of Firenze, Italy.
  • Berretti R Department of Agriculture, Forest and Food Sciences, University of Turin, Largo Braccini 2, 10095, Grugliasco, Italy.
  • Palaghianu C Forestry Faculty, Applied Ecology Lab, Stefan cel Mare University of Suceava, Universitatii Street 13, Suceava, 720229, Romania.
  • Westergren M Slovenian Forestry Institute, Ljubljana, Slovenija.
  • Lageard JGA Division of Geography and Environmental Management, Manchester Metropolitan University, Manchester, United Kingdom.
  • Burkart A Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Disturbance Ecology, Züricherstrasse 111, 8903, Birmensdorf, Switzerland.
  • Gehrig Bichsel R Federal Department of Home Affairs FDHA, Federal Office of Meteorology and Climatology MeteoSwiss, Zurich, Switzerland.
  • Thomas PA School of Life Sciences, Keele University, Newcastle under Lyme, United Kingdom.
  • Beudert B Nationalparkverwaltung Bayerischer Wald, Sachgebiet Naturschutz und Forschung, Freyunger Strasse 2, D-94481, Grafenau, Germany.
  • Övergaard R Southern Swedish Forest Research Centre, Swedish University of Agricultural Sciences, P.O. Box 49, 230 53, Alnarp, Sweden.
  • Vacchiano G Department of Agriculture, Forest and Food Sciences, University of Turin, Largo Braccini 2, 10095, Grugliasco, Italy.
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  • 2017-02-28
Published in:
  • Ecology. - 2017
fructification
mast fruiting
mast seeding
pollen
reproduction
synchrony
tree regeneration
Europe
Fagus
Forests
Norway
Picea
Trees
English Tree masting is one of the most intensively studied ecological processes. It affects nutrient fluxes of trees, regeneration dynamics in forests, animal population densities, and ultimately influences ecosystem services. Despite a large volume of research focused on masting, its evolutionary ecology, spatial and temporal variability, and environmental drivers are still matter of debate. Understanding the proximate and ultimate causes of masting at broad spatial and temporal scales will enable us to predict tree reproductive strategies and their response to changing environment. Here we provide broad spatial (distribution range-wide) and temporal (century) masting data for the two main masting tree species in Europe, European beech (Fagus sylvatica L.) and Norway spruce (Picea abies (L.) H. Karst.). We collected masting data from a total of 359 sources through an extensive literature review and from unpublished surveys. The data set has a total of 1,747 series and 18,348 yearly observations from 28 countries and covering a time span of years 1677-2016 and 1791-2016 for beech and spruce, respectively. For each record, the following information is available: identification code; species; year of observation; proxy of masting (flower, pollen, fruit, seed, dendrochronological reconstructions); statistical data type (ordinal, continuous); data value; unit of measurement (only in case of continuous data); geographical location (country, Nomenclature of Units for Territorial Statistics NUTS-1 level, municipality, coordinates); first and last record year and related length; type of data source (field survey, peer reviewed scientific literature, gray literature, personal observation); source identification code; date when data were added to the database; comments. To provide a ready-to-use masting index we harmonized ordinal data into five classes. Furthermore, we computed an additional field where continuous series with length >4 yr where converted into a five classes ordinal index. To our knowledge, this is the most comprehensive published database on species-specific masting behavior. It is useful to study spatial and temporal patterns of masting and its proximate and ultimate causes, to refine studies based on tree-ring chronologies, to understand dynamics of animal species and pests vectored by these animals affecting human health, and it may serve as calibration-validation data for dynamic forest models.
Language
  • English
Open access status
bronze
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Persistent URL
https://folia.unifr.ch/global/documents/197193
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