@misc{BalintPfenningerGrossartetal.2018,
  author    = {B{\´a}lint, Mikl{\´o}s and Pfenninger, Markus and Grossart, Hans-Peter and Taberlet, Pierre and Vellend, Mark and Leibold, Mathew A. and Englund, Goran and Bowler, Diana},
  title     = {Environmental DNA time series in ecology},
  series = {Trends in ecology \& evolution},
  volume    = {33},
  journal   = {Trends in ecology \& evolution},
  number    = {12},
  publisher = {Elsevier},
  address   = {London},
  issn      = {0169-5347},
  doi       = {10.1016/j.tree.2018.09.003},
  pages     = {945 -- 957},
  year      = {2018},
  abstract  = {Ecological communities change in time and space, but long-term dynamics at the century-to-millennia scale are poorly documented due to lack of relevant data sets. Nevertheless, understanding long-term dynamics is important for explaining present-day biodiversity patterns and placing conservation goals in a historical context. Here, we use recent examples and new perspectives to highlight how environmental DNA (eDNA) is starting to provide a powerful new source of temporal data for research questions that have so far been overlooked, by helping to resolve the ecological dynamics of populations, communities, and ecosystems over hundreds to thousands of years. We give examples of hypotheses that may be addressed by temporal eDNA biodiversity data, discuss possible research directions, and outline related challenges.},
  language  = {en}
}