Big data integration: Pan-European fungal species observations' assembly for addressing contemporary questions in ecology and global change biology

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F17%3A00124571" target="_blank" >RIV/00216224:14310/17:00124571 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/86652079:_____/17:00521220

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S1749461316300926#" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1749461316300926#</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.fbr.2017.01.001" target="_blank" >10.1016/j.fbr.2017.01.001</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Big data integration: Pan-European fungal species observations' assembly for addressing contemporary questions in ecology and global change biology

Popis výsledku v původním jazyce

Species occurrence observations are increasingly available for scientific analyses through citizen science projects and digitization of museum records, representing a largely untapped ecological resource. When combined with open-source data, there is unparalleled potential for understanding many aspects of the ecology and biogeography of organisms. Here we describe the process of assembling a pan-European mycological meta-database (ClimFun) and integrating it with open-source data to advance the fields of macroecology and biogeography against a backdrop of global change. Initially 7.3 million unique fungal species fruit body records, spanning nine countries, were processed and assembled into 6 million records of more than 10,000 species. This is an extraordinary amount of fungal data to address macro-ecological questions. We provide two examples of fungal species with different life histories, one ectomycorrhizal and one wood decaying, to demonstrate how such continental-scale meta-databases can offer unique insights into climate change effects on fungal phenology and fruiting patterns in recent decades.

Název v anglickém jazyce

Big data integration: Pan-European fungal species observations' assembly for addressing contemporary questions in ecology and global change biology

Popis výsledku anglicky

Species occurrence observations are increasingly available for scientific analyses through citizen science projects and digitization of museum records, representing a largely untapped ecological resource. When combined with open-source data, there is unparalleled potential for understanding many aspects of the ecology and biogeography of organisms. Here we describe the process of assembling a pan-European mycological meta-database (ClimFun) and integrating it with open-source data to advance the fields of macroecology and biogeography against a backdrop of global change. Initially 7.3 million unique fungal species fruit body records, spanning nine countries, were processed and assembled into 6 million records of more than 10,000 species. This is an extraordinary amount of fungal data to address macro-ecological questions. We provide two examples of fungal species with different life histories, one ectomycorrhizal and one wood decaying, to demonstrate how such continental-scale meta-databases can offer unique insights into climate change effects on fungal phenology and fruiting patterns in recent decades.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10500 - Earth and related environmental sciences

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Fungal Biology Reviews

ISSN

1749-4613

e-ISSN

1878-0253

Svazek periodika

31

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

11

Strana od-do

88-98

Kód UT WoS článku

000400719900003

EID výsledku v databázi Scopus

2-s2.0-85010996151