The effect of positional error on fine scale species distribution models increases for specialist species

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F20%3A82202" target="_blank" >RIV/60460709:41330/20:82202 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989592:15310/20:73599473

Výsledek na webu

<a href="https://onlinelibrary.wiley.com/doi/full/10.1111/ecog.04687" target="_blank" >https://onlinelibrary.wiley.com/doi/full/10.1111/ecog.04687</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/ecog.04687" target="_blank" >10.1111/ecog.04687</a>

Jazyk výsledku

angličtina

Název v původním jazyce

The effect of positional error on fine scale species distribution models increases for specialist species

Popis výsledku v původním jazyce

Species occurrences inherently include positional error. Such error can be problematic for species distribution models (SDMs), especially those based on fine resolution environmental data. It has been suggested that there could be a link between the influence of positional error and the width of the species ecological niche. Although positional errors in species occurrence data may imply serious limitations, especially for modelling species with narrow ecological niche, it has never been thoroughly explored. We used a virtual species approach to assess the effects of the positional error on fine scale SDMs for species with environmental niches of different widths. We simulated three virtual species with varying niche breadth, from specialist to generalist. The true distribution of these virtual species was then altered by introducing different levels of positional error. The models performance and niche overlap were compared to assess the effect of positional error with varying niche breadth in the g

Název v anglickém jazyce

The effect of positional error on fine scale species distribution models increases for specialist species

Popis výsledku anglicky

Species occurrences inherently include positional error. Such error can be problematic for species distribution models (SDMs), especially those based on fine resolution environmental data. It has been suggested that there could be a link between the influence of positional error and the width of the species ecological niche. Although positional errors in species occurrence data may imply serious limitations, especially for modelling species with narrow ecological niche, it has never been thoroughly explored. We used a virtual species approach to assess the effects of the positional error on fine scale SDMs for species with environmental niches of different widths. We simulated three virtual species with varying niche breadth, from specialist to generalist. The true distribution of these virtual species was then altered by introducing different levels of positional error. The models performance and niche overlap were compared to assess the effect of positional error with varying niche breadth in the g

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10618 - Ecology

Projekt

<a href="/cs/project/GJ17-17156Y" target="_blank" >GJ17-17156Y: Spojení LiDARu a multispektrálních dat z UAV pro posouzení fyziografické diverzity posttěžebních lokalit</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

Ecography

ISSN

0906-7590

e-ISSN

1600-0587

Svazek periodika

43

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

14

Strana od-do

256-269

Kód UT WoS článku

000510594800009

EID výsledku v databázi Scopus

2-s2.0-85074575157