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  5. MedGermDB : A seed germination database for characteristic species of Mediterranean habitats.

MedGermDB : A seed germination database for characteristic species of Mediterranean habitats.

Resource type
Journal article
Creator (person)
Cruz‐Tejada, Diana María
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Fernández‐Pascual, Eduardo
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Mo, Alessio
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Mattana, Efisio
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Carta, Angelino
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Date published
April 9, 2024
Abstract
Seed germination is a crucial phase of plant responses in early life to current and future environmental conditions. However, germination data are still scarce or disaggregated for many plant lineages and regions, including global biodiversity hotspots such as the Mediterranean Basin. We present MedGermDB, the first germination database for characteristic species of Mediterranean habitats, as defined by the EUNIS classification. We also present a systematic approach to build germination databases using automatic and semi‐automatic data extraction from the literature. MedGermDB contains germination data for 4680 laboratory tests performed with 236 angiosperm species from 43 families, extracted from 125 literature sources (2837 sources screened). Each test is associated to a seed lot (i.e., a seed collection of a plant species obtained from a specific location at a specific time) and its metadata, recording geographical information and experimental conditions (storage, dormancy‐breaking treatments, incubation temperature, and photoperiod). MedGermDB is available as a file, and through a web app: . MedGermDB can be used to explore eco‐evolutionary questions and provides a backbone data set for informing effective seed‐based conservation and ecological restoration activities targeting EUNIS habitats. Our methodological approach to data extraction can be extended to other study systems, contributing to global efforts to mobilize germination data.
Funder
Funder nameAwards
Ministero dell'Università e della Ricerca, Italy
PON 2014–2020 “Research and Innovation” resources — Green/Innovation Action — DM MUR 1061/2022, Number: DOT13GFICX-2.
Journal title
Applied Vegetation Science
Volume
27
Issue
2
Article number
e12771
Publisher
Wiley
Place of publication
UK
ISSN
1402-2001
eISSN
1654-109X
Date accepted
March 15, 2024
Official URL
https://doi.org/10.1111/avsc.12771
Rights statement
In Copyright
DOI
10.1111/avsc.12771
Keywords
Macroevolution
Macroecology
MedGermDB
Seed traits
Restoration
Extraction tools
Mediterranean habitats
Seed germination
Boolean string
Regeneration
Climate change data
Primary data
Additional information
IF = 3.431 (2023-2024)
Managed by the British Library and supported by the AHRC

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