VegVault dataset: linking global paleo-, and neo-vegetation data with functional traits and abiotic drivers
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11620%2F25%3A10508168" target="_blank" >RIV/00216208:11620/25:10508168 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00216208:11310/25:10508168
Výsledek na webu
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=qqzTay1r15" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=qqzTay1r15</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/s41597-025-06176-1" target="_blank" >10.1038/s41597-025-06176-1</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
VegVault dataset: linking global paleo-, and neo-vegetation data with functional traits and abiotic drivers
Popis výsledku v původním jazyce
Understanding the dynamics and persistence of biodiversity patterns over short (contemporary) and long (thousands of years) time scales is crucial for predicting ecosystem changes under global climate and land-use changes. A key challenge is integrating currently scattered ecological data to assess complex vegetation dynamics over time. Here, we present VegVault, an interdisciplinary SQLite database that uniquely integrates paleo- and neo-ecological plot-based vegetation data on a global and millennial scale, directly linking them with functional traits, soil, and climate information. VegVault currently comprises data from BIEN, sPlotOpen, TRY, Neotoma, CHELSA, and WoSIS, providing a comprehensive and ready-to-use resource for researchers across various fields to address questions about past and contemporary biodiversity patterns and their abiotic drivers. To further support the usability of the data, VegVault is complemented by the {vaultkeepr} R package, enabling streamlined data access, extraction, and manipulation. This study introduces the structure, content, and diverse applications of VegVault, emphasizing its potential role in advancing ecological research to improve predictions of biodiversity responses to global climate change.
Název v anglickém jazyce
VegVault dataset: linking global paleo-, and neo-vegetation data with functional traits and abiotic drivers
Popis výsledku anglicky
Understanding the dynamics and persistence of biodiversity patterns over short (contemporary) and long (thousands of years) time scales is crucial for predicting ecosystem changes under global climate and land-use changes. A key challenge is integrating currently scattered ecological data to assess complex vegetation dynamics over time. Here, we present VegVault, an interdisciplinary SQLite database that uniquely integrates paleo- and neo-ecological plot-based vegetation data on a global and millennial scale, directly linking them with functional traits, soil, and climate information. VegVault currently comprises data from BIEN, sPlotOpen, TRY, Neotoma, CHELSA, and WoSIS, providing a comprehensive and ready-to-use resource for researchers across various fields to address questions about past and contemporary biodiversity patterns and their abiotic drivers. To further support the usability of the data, VegVault is complemented by the {vaultkeepr} R package, enabling streamlined data access, extraction, and manipulation. This study introduces the structure, content, and diverse applications of VegVault, emphasizing its potential role in advancing ecological research to improve predictions of biodiversity responses to global climate change.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10611 - Plant sciences, botany
Návaznosti výsledku
Projekt
<a href="/cs/project/GN23-06386I" target="_blank" >GN23-06386I: BIODYNAMICS: Dynamika biotických interakcí v čase a prostoru</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Scientific Data
ISSN
2052-4463
e-ISSN
2052-4463
Svazek periodika
12
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
GB - Spojené království Velké Británie a Severního Irska
Počet stran výsledku
23
Strana od-do
1923
Kód UT WoS článku
001631364200004
EID výsledku v databázi Scopus
2-s2.0-105024029062