Data for: Growing faster, longer or both? Modelling plastic response of Juniperus communis growth phenology to climate change
Creators
- 1. University of Greifswald
- 2. Technical University Munich
- 3. Instituto Pirenaico de Ecología
- 4. University of Padua
- 5. Jan Evangelista Purkyně University in Ústí nad Labem
- 6. Institute of Botany
- 7. University of Valladolid
Description
Aim: Plant growth and phenology plastically respond to changing climatic conditions both in space and time. Species-specific levels of growth plasticity determine biogeographical patterns and the adaptive capacity of species to climate change. However, a direct assessment of spatial and temporal variability in radial-growth dynamics is complicated, as long records of cambial phenology do not exist.
Location: 16 sites across European distribution margins of Juniperus communis L. (the Mediterranean, the Arctic, the Alps and the Urals).
Time period: 1940-2016
Major taxa studied: Juniperus communis
Methods: We applied the Vaganov-Shashkin process-based model of wood formation to estimate trends in growing season duration and growth kinetics since 1940. We assumed that J. communis would exhibit spatially and temporally variable growth patterns reflecting local climatic conditions.
Results: Our simulations indicate regional differences in growth dynamics and plastic responses to climate warming. Mean growing season duration is the longest at Mediterranean sites and, recently, there is a significant trend towards its extension of up to 0.44 days per year. However, this stimulating effect of longer growing season is counteracted by declining summer growth rates caused by amplified drought stress. Consequently, overall trends in simulated ring-widths are marginal in the Mediterranean. By contrast, durations of growing seasons in the Arctic show lower and mostly non-significant trends. However, spring and summer growth rates follow increasing temperatures, leading to a growth increase of up to 0.32 % per year.
Main conclusions: This study highlights the plasticity in growth phenology of widely distributed shrubs to climate warming–an earlier onset of cambial activity that offsets the negative effects of summer droughts in the Mediterranean and, conversely, an intensification of growth rates during the short growing seasons in the Arctic. Such plastic growth responsiveness allows woody plants to adapt to the local pace of climate change.
Notes
The data are related to 16 analyzed sites spread across the European part of J. communis distribution. For the full spatial identification (coordinates), please, see Figure 1 in the above-referenced paper.
The site codes are used as follows:
ARCTIC SITES
ABI = Abisko (Sweden)
FIN = Finse (Norway)
KEV = Kevo (Finland)
KIR = Kirkenes (Norway)
KOB = Kobbefjord (Denmark, Greenland)
URAL SITES
PUR = Polar Ural
NUR = Northern Ural
SUR = Southern Ural (all Russia)
ALPINE SITES
CDL = Croda de Lago
SEL = Sella Nevea
RHE = Val di Rheme
VEN = Val Ventina (all Italy)
MEDITERRANEAN SITES
ALI = Aliaga (Spain)
PEN = Penarroya (Spain)
POL = Pollino (Italy)
VIL = Villarroya de los Pinares (Spain)
Folder 'OBSERVATION' contains raw (non-detrended) ring-width series for each sampled shrub. For sites, where multiple radii and/or cross-sections were measured, individual raw measurements were averaged to the level of individual shrubs. Data are stored in standard format RWL which can be loaded by most of dendrochronological programs (including the dplR package for R). One RWL file is presented for each site.
Simulated daily growth ratesDaily growth rates simulated by the VS-model are stored in 'SIMULATION-Growth Rates' subfolders. Simulated integral growth rates and partial growth rates to temperature have a format of a semicolon-separated matrix. The first row of the matrix represents a header. Each of the 365 rows indicates simulated growth rates for specific DOY (starting with DOY 1 in the first row and DOY 365 in the last row). Columns indicate individual calendar years of simulations (starting with the year 1940 in the first column).
Because partial growth rates to photoperiod are invariant from year to year, the respective matrix is simplified to 365 rows and 1 column.
Numbers of differentiated cells since the beginning of the calendar year are for each day stored in the 'SIMULATION-Cell differentiation' folder. Individual files have a format of a semicolon-separated matrix. The first row of the matrix represents a header. Each of 365 rows indicates the numbers of differentiated cells since the beginning of the growing season for each DOY (starting with DOY 1 in the first row and DOY 365 in the last row). Columns indicate individual calendar years of simulations (starting with the year 1940 in the first column).
Simulated cambial phenologyKey dates of simulated cambial phenology are stored in the 'SIMULATION-Phenology' folder. Each file contains a semicolon-separated table with 3 columns. The first one indicates the calendar year, the second one simulated DOY of cambial activity onset and the last one simulated DOY of cambial activity cessation.
Simulated site chronologiesSimulated site chronologies are stored in the 'SIMULATION-Chronology' folder. Each file contains a semicolon-separated table with 2 columns. The first one indicates the calendar year, the second one value of the simulated chronology.
Funding provided by: Alexander von Humboldt-Stiftung
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100005156
Award Number:
Funding provided by: Horizon 2020
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100007601
Award Number: 262693
Funding provided by: Seventh Framework Programme
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100011102
Award Number: TreeClim ERA.Net RUS Pilot Joint Call for Collaborative S&T Projects
Funding provided by: Russian Scientific Foundation*
Crossref Funder Registry ID:
Award Number: RSF-17-14-01112
Funding provided by: Ministerio de Economía, Industria y Competitividad, Gobierno de España
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100010198
Award Number: FJCI 2016-30121
Funding provided by: Grantová Agentura České Republiky
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001824
Award Number: 20-05840Y
Funding provided by: Ministerstvo Školství, Mládeže a Tělovýchovy
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001823
Award Number: INTER-EXCELLENCE LTAUSA19137
Funding provided by: Akademie Věd České Republiky
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100004240
Award Number: RVO 67985939
Funding provided by: SURTUR*
Crossref Funder Registry ID:
Award Number: UJEP-SGS-2020-44-003-3
Funding provided by: Horizon 2020
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100007601
Award Number: 730938
Funding provided by: Russian Scientific Foundation
Crossref Funder Registry ID:
Award Number: RSF-17-14-01112
Funding provided by: SURTUR
Crossref Funder Registry ID:
Award Number: UJEP-SGS-2020-44-003-3
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Additional details
Related works
- Is source of
- 10.5061/dryad.cc2fqz659 (DOI)