Pregled bibliografske jedinice broj: 929609
Impact of biased sampling effort and spatial Uncertainty of locations on models of plant invasion
Impact of biased sampling effort and spatial Uncertainty of locations on models of plant invasion // UseR 2017!
Bruxelles, Belgija, 2017. (poster, podatak o recenziji nije dostupan, pp prezentacija, znanstveni)
CROSBI ID: 929609 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Impact of biased sampling effort and spatial Uncertainty of locations on models of plant invasion
Autori
Radović, Andreja ; Schindler, Stefan ; Rossiter, David ; Nikolić, Toni
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, pp prezentacija, znanstveni
Skup
UseR 2017!
Mjesto i datum
Bruxelles, Belgija, 04.07.2017. - 07.07.2017
Vrsta sudjelovanja
Poster
Vrsta recenzije
Podatak o recenziji nije dostupan
Ključne riječi
invasive plant species, databases, spatial modeling
Sažetak
Biological databases are often used in analysing distribution of different taxa but are usually characterised by variable sampling effort and spatial uncertainty of locations. We tested the influence of geographically biased sampling effort and spatial uncertainty of locations, on models of species richness (invasive plants).
Izvorni jezik
Engleski