IS THE GBIF APPROPRIATE FOR USE AS INPUT IN MODELS OF PREDICTING SPECIES DISTRIBUTIONS? STUDY FROM THE CZECH REPUBLIC

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F24%3A00584902" target="_blank" >RIV/86652079:_____/24:00584902 - isvavai.cz</a>

Výsledek na webu

<a href="https://ncr-journal.bear-land.org/article/437" target="_blank" >https://ncr-journal.bear-land.org/article/437</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.24189/ncr.2024.008" target="_blank" >10.24189/ncr.2024.008</a>

Jazyk výsledku

angličtina

Název v původním jazyce

IS THE GBIF APPROPRIATE FOR USE AS INPUT IN MODELS OF PREDICTING SPECIES DISTRIBUTIONS? STUDY FROM THE CZECH REPUBLIC

Popis výsledku v původním jazyce

Questions concerning species diversity have attracted ecologists and biogeographers for over a century, mainly because the diversity of life on Earth is in rapid decline, which is expected to continue in the future. One of the most important current database on species distribution data is the Global Biodiversity Information Facility (GBIF), which contains more than 2 billion occurrences for all organisms, and this number is continuously increasing with the addition of new data and by combining with other applications. Such data also exist in several national databases, most of which are unfortunately often not freely available and not included in GBIF. We suspected that the national databases, mostly professionally maintained by governmental organisations, may be more comprehensive than GBIF, which is not centrally organised and therefore the national databases may give more accurate predictions than GBIF. To test our assumptions, we have compared: (i) the amount of data included in the Czech database called Nalezova databaze ochrany prirody (NDOP, Discovery database of nature protection) with the amount of data in GBIF after its restriction to the Czech Republic, and (ii) the overlap of the predictions of species distributions for the Czech Republic, based on these two databases. We have used the family Orchidaceae as a model group. We found that: (i) there is a significantly larger number of records per studied region (Czech Republic) in NDOP, compared with GBIF, and (ii) the predictions of Maxent based on orchid records in NDOP are overlapping to a great degree with the predictions based on data based on orchid records in GBIF. Bearing in mind these results, we suggest that if only one database is available for the region studied, we must use this one. If more databases are available for the region studied, we should use the database containing most locations (usually some of the local ones, like NDOP), because using more locations implies larger significance of predictions of species distributions.

Název v anglickém jazyce

IS THE GBIF APPROPRIATE FOR USE AS INPUT IN MODELS OF PREDICTING SPECIES DISTRIBUTIONS? STUDY FROM THE CZECH REPUBLIC

Popis výsledku anglicky

Questions concerning species diversity have attracted ecologists and biogeographers for over a century, mainly because the diversity of life on Earth is in rapid decline, which is expected to continue in the future. One of the most important current database on species distribution data is the Global Biodiversity Information Facility (GBIF), which contains more than 2 billion occurrences for all organisms, and this number is continuously increasing with the addition of new data and by combining with other applications. Such data also exist in several national databases, most of which are unfortunately often not freely available and not included in GBIF. We suspected that the national databases, mostly professionally maintained by governmental organisations, may be more comprehensive than GBIF, which is not centrally organised and therefore the national databases may give more accurate predictions than GBIF. To test our assumptions, we have compared: (i) the amount of data included in the Czech database called Nalezova databaze ochrany prirody (NDOP, Discovery database of nature protection) with the amount of data in GBIF after its restriction to the Czech Republic, and (ii) the overlap of the predictions of species distributions for the Czech Republic, based on these two databases. We have used the family Orchidaceae as a model group. We found that: (i) there is a significantly larger number of records per studied region (Czech Republic) in NDOP, compared with GBIF, and (ii) the predictions of Maxent based on orchid records in NDOP are overlapping to a great degree with the predictions based on data based on orchid records in GBIF. Bearing in mind these results, we suggest that if only one database is available for the region studied, we must use this one. If more databases are available for the region studied, we should use the database containing most locations (usually some of the local ones, like NDOP), because using more locations implies larger significance of predictions of species distributions.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10619 - Biodiversity conservation

Projekt

<a href="/cs/project/LM2023048" target="_blank" >LM2023048: Česká infrastruktura sledování uhlíku</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název periodika

Nature Conservation Research

ISSN

2500-008X

e-ISSN

2500-008X

Svazek periodika

9

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

RU - Ruská federace

Počet stran výsledku

12

Strana od-do

84-95

Kód UT WoS článku

001170275700001

EID výsledku v databázi Scopus

2-s2.0-85185692696