@article{CasasMarceMarmesatSorianoetal.2017,
  author    = {Casas-Marce, Mireia and Marmesat, Elena and Soriano, Laura and Martinez-Cruz, Begona and Lucena-Perez, Maria and Nocete, Francisco and Rodriguez-Hidalgo, Antonio and Canals, Antoni and Nadal, Jordi and Detry, Cleia and Bernaldez-Sanchez, Eloisa and Fernandez-Rodriguez, Carlos and Perez-Ripoll, Manuel and Stiller, Mathias and Hofreiter, Michael and Rodriguez, Alejandro and Revilla, Eloy and Delibes, Miguel and Godoy, Jose A.},
  title     = {Spatiotemporal Dynamics of Genetic Variation in the Iberian Lynx along Its Path to Extinction Reconstructed with Ancient DNA},
  series = {Molecular biology and evolution},
  volume    = {34},
  journal   = {Molecular biology and evolution},
  publisher = {Oxford Univ. Press},
  address   = {Oxford},
  issn      = {0737-4038},
  doi       = {10.1093/molbev/msx222},
  pages     = {2893 -- 2907},
  year      = {2017},
  abstract  = {There is the tendency to assume that endangered species have been both genetically and demographically healthier in the past, so that any genetic erosion observed today was caused by their recent decline. The Iberian lynx (Lynx pardinus) suffered a dramatic and continuous decline during the 20th century, and now shows extremely low genome- and species-wide genetic diversity among other signs of genomic erosion. We analyze ancient (N\&\#8201;=\&\#8201;10), historical (N\&\#8201;=\&\#8201;245), and contemporary (N\&\#8201;=\&\#8201;172) samples with microsatellite and mitogenome data to reconstruct the species' demography and investigate patterns of genetic variation across space and time. Iberian lynx populations transitioned from low but significantly higher genetic diversity than today and shallow geographical differentiation millennia ago, through a structured metapopulation with varying levels of diversity during the last centuries, to two extremely genetically depauperate and differentiated remnant populations by 2002. The historical subpopulations show varying extents of genetic drift in relation to their recent size and time in isolation, but these do not predict whether the populations persisted or went finally extinct. In conclusion, current genetic patterns were mainly shaped by genetic drift, supporting the current admixture of the two genetic pools and calling for a comprehensive genetic management of the ongoing conservation program. This study illustrates how a retrospective analysis of demographic and genetic patterns of endangered species can shed light onto their evolutionary history and this, in turn, can inform conservation actions.},
  language  = {en}
}
@article{GrimmRevillaBergeretal.2005,
  author    = {Grimm, Volker and Revilla, Eloy and Berger, Uta and Jeltsch, Florian and Mooij, Wolf M. and Railsback, Steven Floyd and Thulke, Hans-Hermann and Weiner, Jacob and Wiegand, Thorsten and DeAngelis, Donald L.},
  title     = {Pattern-oriented modeling of agend-based complex systems : lessons from ecology},
  year      = {2005},
  abstract  = {Agent-based complex systems are dynamic networks of many interacting agents; examples include ecosystems, financial markets, and cities. The search for general principles underlying the internal organization of such systems often uses bottom-up simulation models such as cellular automata and agent-based models. No general framework for designing, testing, and analyzing bottom-up models has yet been established, but recent advances in ecological modeling have come together in a general strategy we call pattern-oriented modeling. This strategy provides a unifying framework for decoding the internal organization of agent-based complex systems and may lead toward unifying algorithmic theories of the relation between adaptive behavior and system complexity},
  language  = {en}
}
@article{GrimmRevillaGroeneveldetal.2005,
  author    = {Grimm, Volker and Revilla, Eloy and Groeneveld, J{\"u}rgen and Kramer-Schadt, Stephanie and Schwager, Monika and Tews, J{\"o}rg and Wichmann, Matthias and Jeltsch, Florian},
  title     = {Importance of buffer mechanisms for population viability analysis},
  year      = {2005},
  language  = {en}
}