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Reproductive data Fagus sylvatica: Widespread masting breakdown in beech

Cite this dataset

Foest, Jessie et al. (2024). Reproductive data Fagus sylvatica: Widespread masting breakdown in beech [Dataset]. Dryad. https://doi.org/10.5061/dryad.qz612jmps

Abstract

Climate change effects on tree reproduction are poorly understood even though the resilience of populations relies on sufficient regeneration to balance increasing rates of mortality. Forest-forming tree species often mast, i.e. reproduce through synchronised year-to-year variation in seed production, which improves pollination and reduces seed predation. Recent observations in European beech show, however, that current climate change can dampen interannual variation and synchrony of seed production, and that this masting breakdown drastically reduces the viability of seed crops. Importantly, it is unclear under which conditions masting breakdown occurs, and how widespread breakdown is in this pan-European species. Here, we analysed 50 long-term datasets of population-level seed production, sampled across the distribution of European beech, and identified increasing summer temperatures as the general driver of masting breakdown. Specifically, increases in site-specific mean maximum temperatures during June and July were observed across most of the species range, while the interannual variability of population-level seed production (CVp) decreased. The declines in CVp were greatest where temperatures increased most rapidly. Additionally, the occurrence of crop failures and low-seed years has decreased during the last four decades, signalling altered starvation effects of masting on seed predators. Notably, CVp did not vary among sites according to site mean summer temperature. Instead, masting breakdown occurs in response to warming local temperatures (i.e. increasing relative temperatures), such that the risk is not restricted to populations growing in warm average conditions. As lowered CVp can reduce viable seed production despite the overall increase in seed count, our results warn that a covert mechanism is underway that may hinder the regeneration potential of European beech under climate change, with great potential to alter forest functioning and community dynamics.

README: Reproductive data Fagus sylvatica: Widespread masting breakdown in beech

https://doi.org/10.5061/dryad.qz612jmps

This dataset, used in the Global Change Biology article "Widespread breakdown in masting in European beech due to rising summer temperatures", contains 50 time series of population-level annual reproductive data by European beech (Fagus sylvatica, L) across Europe. The dataset builds on the open-access dataset MASTREE+, and expands it for European beech.

Description of the data

The dataset column names follow that of MASTREE+. A description of MASTREE+ column names (Modified from Table 1 in the MASTREE+ article):

Columns Description Contains NA?
Alpha_Number Unique code associated with each original source of data, that is, the publication, report or thesis containing extracted data, or the previously unpublished data set included in MASTREE+. No
Segment Temporal segment of a time-series containing gaps (note that years with no observations are not recorded). Individual timeseries can consist of multiple segments. No
Site_number Code to differentiate multiple sites from the same original source (Alpha_Number/Study_ID). No
Variable_number Code to differentiate multiple measures of reproductive output from the same species-site combination (e.g. where seeds and cones were recorded separately). No
Year Year of observation. No
Species Species identifier, standardised to The Plant List nomenclature. ‘spp.’ is used to indicate a record identified to the genus level only. ‘MIXED’ indicates a non-species-specific community-level estimate of annual reproductive effort. No
Species_code Six-character species identifier. No
Mono_Poly Monocarpic (semelparous) or Polycarpic (iteroparous) species. No
Value The measured value of annual reproductive output. No
VarType Continuous or ordinal data. Continuous time-series are recorded on a continuous scale. Ordinal series are recorded on an ordered categorical scale. All ordinal series are rescaled to start at 1 (lowest reproductive effort) and to contain only integer values. No
Max_value The unit of measurement, where VarType is continuous (otherwise: NA). No
Unit The maximum value in a time-series. No
Variable Categorical classification of the measured variable. Options limited to: cone, flower, fruit, seed, pollen, total reproduction organs. No
Collection_method Classification of the method used to measure reproductive effort. Options are limited to: cone count, cone scar count, flower count, fruit count, fruit scar sound, seed count, seed trap, pollen count, lake sediment pollen count, harvest record, visual crop assessment, other quantification, dendrochronological reconstruction. No
Latitude Latitude of the record, in decimal degrees. No
Longitude Longitude of the record, in decimal degrees. No
Coordinate_flag A flag to indicate the precision of the latitude and longitude. A = coordinates provided in the original source B = coordinates estimated by the compiler based on a map or other location information provided in the original source C = coordinates estimated by the compiler as the approximate centre point of the smallest clearly defined geographical unit provided in the original source (e.g. county, state, island), and potentially of low precision. No
Site A site name or description, based on information in the original source. No
Country The country where the observation was recorded. No
Elevation The elevation of the sample site in metres above sea level, where provided in the original source (otherwise: NA). Yes
Spatial_unit Categorical classification of spatial scale represented by the record, estimated by the compiler based on information provided in the original source. stand = <100 ha, patch = 100–10,000 ha, region = 10,000–1,000,000 ha, super-region = >1,000,000 ha. No
No_indivs Either the number of monitored individual plants, or the number of litter traps. NA indicates no information in the original source, and 9999 indicates that while the number of monitored individuals was not specified, the source indicated to the compiler that the sample size was likely ≥10 individuals or litter traps. No
Start The first year of observations for the complete time-series, including all segments. No
End The final year of observations for the complete time-series, including all segments. No
Length The number of years of observations. Note that may not be equal to the number of years between the Start and End of the time-series, due to gaps in the time-series. No
Reference Identification for the original source of the data. No
Record_type Categorisation of the original source. Peer-reviewed = extracted from peer reviewed literature Grey = extracted from grey literature Unpublished = unpublished data. No
ID_enterer Identification of the original compiler of the data. AHP, Andrew Hacket-Pain; ES, Eliane Schermer; JVM, Jose Moris; XTT, Tingting Xue; TC, Thomas Caignard; DV, Davide Vecchio; DA, Davide Ascoli; IP, Ian Pearse; JL, Jalene LaMontagne; JVD, Joep van Dormolen. No
Date_entry Date of data entry into MASTREE+ in the format yyyy-mm-dd. No
Note on data location Notes on the location of the data within the original source, such as page or figure number. If not provided, NA. Yes
Comments Additional comments. If not provided, NA. Yes
Study_ID Unique code associated with each source of data. M_ = series extracted from published literature; A_ = series incorporated from Ascoli et al. (2020), Ascoli, Maringer, et al. (2017) and Ascoli, Vacchiano, et al. (2017); PLK_ = series incorporated from Pearse et al. (2017); D_ = unpublished data sets. NA is attributed if no study ID has been previously associated with this time-series in MASTREE+ v.1. Yes

Note that the new beech reproductive data has been assigned an arbitrary Alpha_Number for the purpose of this study. Future MASTREE+ updates which incorporate this new data may alter the time series ID columns (e.g. Alpha_Number, Site_number, Variable_number). MASTREE+ updates can be found on GITHUB.

Funding

Natural Environment Research Council, Award: NE/S00713X/1

Natural Environment Research Council, Award: NE/S007857/1

European Research Council, Award: 101039066, ForestFuture

FWF Austrian Science Fund, Award: P14583; P30381

Austrian Ministry of Agriculture, Regions and Tourism, Waldfonds Project “FORSEE”

Swiss Federal Institute for Forest, Snow and Landscape Research

city of Lausanne, and cantons of St. Gallen and Solothurn

German Federal Environment Agency, Award: 117021

European Union, Award: 3528/86, Council Regulation (EEC)

European Union, Award: 2152/2003, Regulation (European Commission)

European Union, Award: LIFE 07 ENV/D/000218

European Union, Award: LIFE14 ENV/IT/000514

Foreste Casentinesi National Park, Pasciona

European Commission, Award: GOCECT-2003-505572, CarboEurope-IP

Max Planck Institute for Biogeochemistry

Georg-August-University Göttingen

Forestry Research and Competence Centre Gotha

ANR DECLIC, Award: ANR-20- CE32-0005-01

the Agritech National Research Center from the European Union Next-Generation EU, Award: MISSIONE 4 COMPONENTE 2

the Agritech National Research Center from the European Union Next-Generation EU, Award: CN00000022

the Agritech National Research Center from the European Union Next-Generation EU, Award: INVESTIMENTO 1.4 – D.D. 1032 17/06/2022