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Volume 98, Issue 5 p. 1473-1473
Data Papers
Free Access

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

Davide Ascoli

Corresponding Author

Davide Ascoli

Dipartimento di Agraria, University of Naples Federico II, via Università 100, 80055 Portici, Napoli, Italy

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Janet Maringer

Janet Maringer

Institute for Landscape Planning and Ecology, University of Stuttgart, Keplerstrasse 11, 70174 Stuttgart, Germany

Insubric Research Group, Swiss Federal Research Institute WSL, a Ramèl 18, 6593 Cadenazzo, Switzerland

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Andy Hacket-Pain

Andy Hacket-Pain

Fitzwilliam College, Storeys Way, Cambridge, United Kingdom

St Catherine's College, Manor Road, Oxford, United Kingdom

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Marco Conedera

Marco Conedera

Insubric Research Group, Swiss Federal Research Institute WSL, a Ramèl 18, 6593 Cadenazzo, Switzerland

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Igor Drobyshev

Igor Drobyshev

Southern Swedish Forest Research Centre, Swedish University of Agricultural Sciences, P.O. Box 49, 230 53 Alnarp, Sweden

Chaire Industrielle CRSNG-UQAT-UQAM en Aménagement Forestier Durable, Université du Québec en Abitibi-Témiscamingue (UQAT), 445 boulevard de l'Université, Rouyn-Noranda, Québec, J9X 5E4 Canada

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Renzo Motta

Renzo Motta

Department of Agriculture, Forest and Food Sciences, University of Turin, Largo Braccini 2, 10095 Grugliasco, Italy

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Mara Cirolli

Mara Cirolli

Department of Agriculture, Forest and Food Sciences, University of Turin, Largo Braccini 2, 10095 Grugliasco, Italy

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Władysław Kantorowicz

Władysław Kantorowicz

Department of Silviculture and Genetics of Forest Trees, Forest Research Institute, Sekocin Stary, Poland

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Christian Zang

Christian Zang

TUM School of Life Sciences Weihenstephan, Technische Universität München, Freising, Germany

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Silvio Schueler

Silvio Schueler

Department of Forest Genetics, Federal Research and Training Centre for Forests, Natural Hazards and Landscapes (BFW), Seckendorff-Gudent-Weg 8, 1131 Vienna, Austria

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Luc Croisé

Luc Croisé

Département Recherche-Développement-Innovation, RENECOFOR, Office National des Forêts, Boulevard de Constance, 77300 Fontainebleau, France

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Pietro Piussi

Pietro Piussi

University of Firenze, Italy

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Roberta Berretti

Roberta Berretti

Department of Agriculture, Forest and Food Sciences, University of Turin, Largo Braccini 2, 10095 Grugliasco, Italy

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Ciprian Palaghianu

Ciprian Palaghianu

Forestry Faculty, Applied Ecology Lab, Stefan cel Mare University of Suceava, Universitatii Street 13, Suceava, 720229 Romania

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Marjana Westergren

Marjana Westergren

Slovenian Forestry Institute, Ljubljana, Slovenija

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Jonathan G. A. Lageard

Jonathan G. A. Lageard

Division of Geography and Environmental Management, Manchester Metropolitan University, Manchester, United Kingdom

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Anton Burkart

Anton Burkart

Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Disturbance Ecology, Züricherstrasse 111, 8903 Birmensdorf, Switzerland

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Regula Gehrig Bichsel

Regula Gehrig Bichsel

Federal Department of Home Affairs FDHA, Federal Office of Meteorology and Climatology MeteoSwiss, Zurich, Switzerland

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Peter A. Thomas

Peter A. Thomas

School of Life Sciences, Keele University, Newcastle under Lyme, United Kingdom

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Burkhard Beudert

Burkhard Beudert

Nationalparkverwaltung Bayerischer Wald, Sachgebiet Naturschutz und Forschung, Freyunger Strasse 2, D-94481 Grafenau, Germany

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Rolf Övergaard

Rolf Övergaard

Southern Swedish Forest Research Centre, Swedish University of Agricultural Sciences, P.O. Box 49, 230 53 Alnarp, Sweden

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Giorgio Vacchiano

Giorgio Vacchiano

Department of Agriculture, Forest and Food Sciences, University of Turin, Largo Braccini 2, 10095 Grugliasco, Italy

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First published: 27 February 2017
Citations: 41
Corresponding Editor: William K. Michener.

Abstract

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.

The complete data sets corresponding to abstracts published in the Data Papers section in the journal are published electronically as Supporting Information in the online version of this article at http://onlinelibrary.wiley.com/doi/10.1002/ecy.1785/suppinfo.