Laboratory of Aquatic Ecology, Evolution and Conservation, University of Leuven, Ch Deberiotstraat 32, 3000, Leuven, Belgium; Indiana University, The Center of Genomics and Bioinformatics, Myers Hall 915 E 3rd Street, Bloomingtonm, IN 47405-3700, United States; Institute for Environmental Sciences, University of Koblenz-Landau, 76829 Landau/Pfalz, Germany; Biodiversity and Climate Research Centre (BiK-F), Senckenberganlage 25, 60325 Frankfurt am Main, Germany; Department of Biological Sciences, Eck Institute for Global Health and Environmental Change Institute, Galvin Life Science Center, Notre Dame, IN 46556, United States; Department of Biology, Program in Ecology and Evolutionary Biology, University of Oklahoma, Norman, OK 73019, United States; School of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom
Recommended Citation:
Orsini L.,Schwenk K.,De Meester L.,et al. The evolutionary time machine: Using dormant propagules to forecast how populations can adapt to changing environments[J]. Trends in Ecology and Evolution,2013-01-01,28(5)