Fine scale waterbody data improve prediction of waterbird occurrence despite coarse species data
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Fine scale waterbody data improve prediction of waterbird occurrence despite coarse species data
Original language description
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
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10618 - Ecology
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Ecography
ISSN
0906-7590
e-ISSN
1600-0587
Volume of the periodical
42
Issue of the periodical within the volume
3
Country of publishing house
US - UNITED STATES
Number of pages
10
Pages from-to
511-520
UT code for WoS article
000460078900011
EID of the result in the Scopus database
2-s2.0-85056301572