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Origin of Plant Trait Data Matters: Shared Species of Northwestern Europe and the Pannonian Ecoregion have Different Trait Values in the Two Regions.

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Názov: Origin of Plant Trait Data Matters: Shared Species of Northwestern Europe and the Pannonian Ecoregion have Different Trait Values in the Two Regions.
Autori: Sonkoly, J., Török, P.
Zdroj: Acta Botanica Hungarica; Dec2025, Vol. 67 Issue 4, p443-455, 13p
Predmety: DATABASES, ECOLOGICAL regions, VEGETATION patterns, ECOLOGICAL impact, APPLIED ecology, ENVIRONMENTAL databases, PHENOTYPIC plasticity
Geografický termín: EUROPE
Abstrakt: Trait-based research considerably increased our comprehension of various fields related to ecology and evolution. As measuring traits can be time-consuming and costly, analyses regularly use trait data from databases instead of carrying out new measurements. However, intraspecific trait variability can cause substantial differences between trait values of different populations and regions. Here we evaluated whether intraspecific trait variability causes considerable differences in trait values measured in two regions of Europe. We tested whether regionally measured trait values from the Pannonian Ecoregion differ from trait values for the same species originating from northwestern Europe by comparing data from the Pannonian Database of Plant Traits (PADAPT) and the LEDA Traitbase. We evaluated six traits: thousand-seed mass (TSM), seed bank persistence index (SBPI), leaf area (LA), leaf dry matter content (LDMC), specific leaf area (SLA), and leaf dry mass. We found that trait data from the two databases significantly differed for TSM, SBPI, SLA, and LDMC. We can assume that the markedly different climates of the two regions can be the reason behind the observed intraspecific trait differences; therefore, the geographical origin of trait data matters in trait-based analyses. The findings support the assumption that regionally measured trait data are essential for reliable regional-scale trait-based studies, and compiling these data into regional databases is the most efficient way to facilitate their use. We conclude that for studies analysing traits in the Pannonian Ecoregion (and possibly in eastern and central Europe in general), it is advisable to use PADAPT instead of databases compiling data from regions with markedly different climatic conditions. [ABSTRACT FROM AUTHOR]
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Databáza: Complementary Index
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Abstrakt:Trait-based research considerably increased our comprehension of various fields related to ecology and evolution. As measuring traits can be time-consuming and costly, analyses regularly use trait data from databases instead of carrying out new measurements. However, intraspecific trait variability can cause substantial differences between trait values of different populations and regions. Here we evaluated whether intraspecific trait variability causes considerable differences in trait values measured in two regions of Europe. We tested whether regionally measured trait values from the Pannonian Ecoregion differ from trait values for the same species originating from northwestern Europe by comparing data from the Pannonian Database of Plant Traits (PADAPT) and the LEDA Traitbase. We evaluated six traits: thousand-seed mass (TSM), seed bank persistence index (SBPI), leaf area (LA), leaf dry matter content (LDMC), specific leaf area (SLA), and leaf dry mass. We found that trait data from the two databases significantly differed for TSM, SBPI, SLA, and LDMC. We can assume that the markedly different climates of the two regions can be the reason behind the observed intraspecific trait differences; therefore, the geographical origin of trait data matters in trait-based analyses. The findings support the assumption that regionally measured trait data are essential for reliable regional-scale trait-based studies, and compiling these data into regional databases is the most efficient way to facilitate their use. We conclude that for studies analysing traits in the Pannonian Ecoregion (and possibly in eastern and central Europe in general), it is advisable to use PADAPT instead of databases compiling data from regions with markedly different climatic conditions. [ABSTRACT FROM AUTHOR]
ISSN:02366495
DOI:10.1556/034.67.2025.4.5