Sampling and modelling rare species: Conceptual guidelines for the neglected majority

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F22%3A91601" target="_blank" >RIV/60460709:41330/22:91601 - isvavai.cz</a>

Výsledek na webu

<a href="https://onlinelibrary.wiley.com/doi/epdf/10.1111/gcb.16114" target="_blank" >https://onlinelibrary.wiley.com/doi/epdf/10.1111/gcb.16114</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/gcb.16114" target="_blank" >10.1111/gcb.16114</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Sampling and modelling rare species: Conceptual guidelines for the neglected majority

Popis výsledku v původním jazyce

Biodiversity conservation faces a methodological conundrum: Biodiversity measurement often relies on species, most of which are rare at various scales, especially prone to extinction under global change, but also the most challenging to sample and model. Predicting the distribution change of rare species using conventional species distribution models is challenging because rare species are hardly captured by most survey systems. When enough data are available, predictions are usually spatially biased towards locations where the species is most likely to occur, violating the assumptions of many modelling frameworks. Workflows to predict and eventually map rare species distributions imply important trade-offs between data quantity, quality, representativeness and model complexity that need to be considered prior to survey and analysis. Our opinion is that study designs need to carefully integrate the different steps, from species sampling to modelling, in accordance with the different types of rarity a

Název v anglickém jazyce

Sampling and modelling rare species: Conceptual guidelines for the neglected majority

Popis výsledku anglicky

Biodiversity conservation faces a methodological conundrum: Biodiversity measurement often relies on species, most of which are rare at various scales, especially prone to extinction under global change, but also the most challenging to sample and model. Predicting the distribution change of rare species using conventional species distribution models is challenging because rare species are hardly captured by most survey systems. When enough data are available, predictions are usually spatially biased towards locations where the species is most likely to occur, violating the assumptions of many modelling frameworks. Workflows to predict and eventually map rare species distributions imply important trade-offs between data quantity, quality, representativeness and model complexity that need to be considered prior to survey and analysis. Our opinion is that study designs need to carefully integrate the different steps, from species sampling to modelling, in accordance with the different types of rarity a

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10619 - Biodiversity conservation

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

GLOBAL CHANGE BIOLOGY

ISSN

1354-1013

e-ISSN

1365-2486

Svazek periodika

28

Číslo periodika v rámci svazku

12

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

24

Strana od-do

3754-3777

Kód UT WoS článku

000763304300001

EID výsledku v databázi Scopus

2-s2.0-85126041930