Cel Understanding how ecological and evolutionary processes shape patterns of biodiversity remains a central challenge for ecological and biogeographic theory. Oceanic islands, because of their spatiotemporal properties, provide the most promising arena to address this challenge. UNISLAND will advance general theory by applying novel ecological, evolutionary and genomics approaches to explicitly test mechanistic predictions derived from the recently developed General Dynamic Model (GDM). The GDM, while an island focused model, is of broad ecological relevance, because it encompasses generally held ecological relationships, such as the species area relationship (SAR) and the species abundance distribution (SAD). Two key mechanistic predictions derived from the GDM have so far been untested, and are the focus of UNISLAND. The first is that the older an island is, the more old are the single island endemic species (SIEs) that evolved on that island. The second is that single island endemic species (SIEs) have higher extinction probabilities that other species. UNISLAND is embedded in a multidisciplinary framework involving: comparative phylogenetics; community-level modeling; ‘museum’ genomics; and spatially-explicit coalescent-based analysis. Data generated by UNISLAND will evaluate the range shift and extinction risk (species-level and ecosystem-level), thus addressing international and European-level research priorities. Through the collaborative phase between the ER and OPS, UNISLAND will provide the ER with state of the art skills in historical DNA genomics and ecological modelling that will be transferred to the CSIC during the return phase. The complementary research profiles of the OPS, RPS and ER, their mutual interests in the spatial structuring of biodiversity, and the application of modern fit for purpose methodology, underpin the strength of UNISLAND. Dziedzina nauki natural sciencesbiological sciencesbiological morphologycomparative morphologynatural sciencesbiological sciencesevolutionary biologynatural sciencesbiological sciencesecologyecosystemsnatural sciencesearth and related environmental sciencesatmospheric sciencesclimatologyclimatic changesnatural sciencesearth and related environmental sciencesphysical geography Słowa kluczowe angiosperms arthropods Canary Islands extinction General Dynamic Model global change Hawaii historical demography islands oceanic island biogeography single island endemic species Program(-y) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Temat(-y) MSCA-IF-2016 - Individual Fellowships Zaproszenie do składania wniosków H2020-MSCA-IF-2016 Zobacz inne projekty w ramach tego zaproszenia System finansowania MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF) Koordynator AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS Wkład UE netto € 257 191,20 Adres CALLE SERRANO 117 28006 Madrid Hiszpania Zobacz na mapie Region Comunidad de Madrid Comunidad de Madrid Madrid Rodzaj działalności Research Organisations Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Uczestnictwo w unijnych programach w zakresie badań i innowacji Opens in new window sieć współpracy HORIZON Opens in new window Koszt całkowity € 257 191,20 Partnerzy (1) Sortuj alfabetycznie Sortuj według wkładu UE netto Rozwiń wszystko Zwiń wszystko Partner Organizacje partnerskie biorą udział w realizacji działania, jednak nie podpisują umowy o grant. THE REGENTS OF THE UNIVERSITY OF CALIFORNIA Stany Zjednoczone Wkład UE netto € 0,00 Adres FRANKLIN STREET 1111 12 FLOOR 94607 OAKLAND CA Zobacz na mapie Rodzaj działalności Higher or Secondary Education Establishments Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Uczestnictwo w unijnych programach w zakresie badań i innowacji Opens in new window sieć współpracy HORIZON Opens in new window Koszt całkowity € 172 130,40