Pregled bibliografske jedinice broj: 328478
WOMBSOFT – Wombling-based method for boundary detection in ecology and population genetics
WOMBSOFT – Wombling-based method for boundary detection in ecology and population genetics // Knjiga sazetaka : 2. hrvatski botanicki kongres 2007 = Book of Abstracts : 2nd croatian Botanical Congress 2007 / Britvec, Mihaela ; Skvorc, Zeljko (ur.).
Zagreb: Hrvatsko Botaničko Društvo, 2007. (poster, domaća recenzija, sažetak, znanstveni)
CROSBI ID: 328478 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
WOMBSOFT – Wombling-based method for boundary detection in ecology and population genetics
Autori
Crida, Ameline ; Safner, Toni ; Manel, Stéphanie ; INTRABIODIV consortium
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
Knjiga sazetaka : 2. hrvatski botanicki kongres 2007 = Book of Abstracts : 2nd croatian Botanical Congress 2007
/ Britvec, Mihaela ; Skvorc, Zeljko - Zagreb : Hrvatsko Botaničko Društvo, 2007
Skup
2. Hrvatski botanički kongres s međunarodnim sudjelovanjem
Mjesto i datum
Zagreb, Hrvatska, 20.09.2007. - 22.09.2007
Vrsta sudjelovanja
Poster
Vrsta recenzije
Domaća recenzija
Ključne riječi
Boundary detection; landscape ecology; wombling
Sažetak
Identification of the spatial pattern of biodiversity is one of the requirements for the successful conservation planning. Delineation of boundaries (i.e. detection of areas of sharp change for the variable of interest) is potential approach to describe such patterns. Boundary detection methods are widely used in ecology, and are recently receiving more attention in population genetics (for detection of boundaries to gene flow). Here we introduce an original Wombling-based method for detection and testing the significance of boundaries in which the values of the systemic function are estimated using a local polynomial regression. Wombsoft is implemented as R package and it can be applied to codominant (i.e. microsatellites) or dominant markers (i.e. AFLP), as well as contingency (i.e. species frequency) data on geo-referenced sampling points (or individuals). Detected boundaries can be projected on a map using GIS software and correlated to environmental variables in a landscape ecology perspective. The typical application is illustrated by the analysis of a dataset from INTRABIODIV project.
Izvorni jezik
Engleski
Znanstvena područja
Biologija, Poljoprivreda (agronomija)
POVEZANOST RADA
Projekti:
178-1780691-0688 - Povećanje učinkovitosti istraživanja primjenom naprednih biometrijskih modela (Gunjača, Jerko, MZOS ) ( CroRIS)
Ustanove:
Agronomski fakultet, Zagreb
Profili:
Toni Safner
(autor)