Fine scale waterbody data improve prediction of waterbird occurrence despite coarse species data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F19%3A77135" target="_blank" >RIV/60460709:41330/19:77135 - isvavai.cz</a>

Výsledek na webu

<a href="https://onlinelibrary.wiley.com/doi/full/10.1111/ecog.03724" target="_blank" >https://onlinelibrary.wiley.com/doi/full/10.1111/ecog.03724</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/ecog.03724" target="_blank" >10.1111/ecog.03724</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Fine scale waterbody data improve prediction of waterbird occurrence despite coarse species data

Popis výsledku v původním jazyce

While modelling habitat suitability and species distribution, ecologists must deal with issues related to the spatial resolution of species occurrence and environmental data. Indeed, given that the spatial resolution of species and environmental datasets range from centimeters to hundreds of kilometers, it underlines the importance of choosing the optimal combination of resolutions to achieve the highest possible modelling prediction accuracy. We evaluated how the spatial resolution of land cover or waterbody datasets (meters to 1 km) affect waterbird habitat suitability models based on atlas data (grid cell of 12x11 km). We hypothesized that the area, perimeter and number of waterbodies computed from high resolution datasets would explain distributions of waterbirds better because coarse resolution datasets omit small waterbodies affecting species occurrence. Specifically, we investigated which spatial resolution of waterbodies better explain the distribution of seven waterbirds nesting on ponds or

Název v anglickém jazyce

Fine scale waterbody data improve prediction of waterbird occurrence despite coarse species data

Popis výsledku anglicky

While modelling habitat suitability and species distribution, ecologists must deal with issues related to the spatial resolution of species occurrence and environmental data. Indeed, given that the spatial resolution of species and environmental datasets range from centimeters to hundreds of kilometers, it underlines the importance of choosing the optimal combination of resolutions to achieve the highest possible modelling prediction accuracy. We evaluated how the spatial resolution of land cover or waterbody datasets (meters to 1 km) affect waterbird habitat suitability models based on atlas data (grid cell of 12x11 km). We hypothesized that the area, perimeter and number of waterbodies computed from high resolution datasets would explain distributions of waterbirds better because coarse resolution datasets omit small waterbodies affecting species occurrence. Specifically, we investigated which spatial resolution of waterbodies better explain the distribution of seven waterbirds nesting on ponds or

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10618 - Ecology

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

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

42

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

10

Strana od-do

511-520

Kód UT WoS článku

000460078900011

EID výsledku v databázi Scopus

2-s2.0-85056301572