The effect of positional error on fine scale species distribution models increases for specialist species
The result's identifiers
Result code in 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>
Alternative codes found
RIV/61989592:15310/20:73599473
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
The effect of positional error on fine scale species distribution models increases for specialist species
Original language description
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
Czech name
—
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
—
OECD FORD branch
10618 - Ecology
Result continuities
Project
<a href="/en/project/GJ17-17156Y" target="_blank" >GJ17-17156Y: Fusion of LiDAR and UAV borne multispectral data to assess physiographic diversity of post-mining sites</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
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
43
Issue of the periodical within the volume
2
Country of publishing house
US - UNITED STATES
Number of pages
14
Pages from-to
256-269
UT code for WoS article
000510594800009
EID of the result in the Scopus database
2-s2.0-85074575157