INIBIOMA   20415
INSTITUTO DE INVESTIGACIONES EN BIODIVERSIDAD Y MEDIOAMBIENTE
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Landscape conservation in Patagonia: molecular clues to past reconstruction, present analysis, and prediction of future scenarions
Autor/es:
PREMOLI A.C.
Reunión:
Congreso; IUFRO Landscape ecology Conference. Sustaining humans and forests in changing landscapes: Forests, society and global change; 2012
Resumen:
Spatially and temporally dynamic landscapes characterize areas occupied by native forests within temperate and subtropical montane areas. Any widespread species inhabiting such forests most probably consist of populations whose genetic characteristics will reflect past and current natural and anthropogenic disturbances shaping their gene pools. Spatially explicit sampling of natural populations and the use of different molecular markers can help to trace historical events occurring at distinct timelines. While the use of slow-evolving genetic markers with cytoplasmic mode of inheritance may help to elucidate past events, other more rapidly evolving ones such as nuclear markers may assist to interpret contemporaneous processes. In addition, molecular data can be crossed with independent proxy information such as ecological niche modeling and fossil data to understand past and current gene flow rates. Genetic studies were performed on dominant tree species of temperate forests of southern Argentina and Chile and montane subtropical woodlands of northern Argentina and southern Bolivia. These were conducted sampling multiple populations along their total species? ranges which were analyzed by nuclear and cytoplasmically inherited markers. In addition, other studies were performed at the local scale in temperate areas to understand species-specific responses to natural disturbances, i.e. fire and fragmentation. Past events such as changes in climate and disturbances occurring at distinct spatial scales have had a profound imprint on the gene pool of native trees and species? responses varied according to their ecological and life history traits. This information can be used to model future responses under changing climates.