@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}
}
@article{JeltschGroeneveldWisseletal.2005,
  author    = {Jeltsch, Florian and Groeneveld, J{\"u}rgen and Wissel, Christian and Wucherer, W. and Dimeyeva, L.},
  title     = {Seed dispersal by cattle may cause shrub encroachment of Grewia flava on southern Kalahari rangelands},
  isbn      = {3-86537-386-0},
  year      = {2005},
  language  = {en}
}
@article{WichmannGroeneveldJeltschetal.2005,
  author    = {Wichmann, Matthias and Groeneveld, J{\"u}rgen and Jeltsch, Florian and Grimm, Volker},
  title     = {Mitigation of climate change impacts on raptors by behavioural adaptation : ecological buffering mechanisms},
  issn      = {0921-8181},
  year      = {2005},
  abstract  = {The predicted climate change causes deep concerns on the effects of increasing temperatures and changing precipitation patterns on species viability and, in turn, on biodiversity. Models of Population Viability Analysis (PVA) provide a powerful tool to assess the risk of species extinction. However, most PVA models do not take into account the potential effects of behavioural adaptations. Organisms might adapt to new environmental situations and thereby mitigate negative effects of climate change. To demonstrate such mitigation effects, we use an existing PVA model describing a population of the tawny eagle (Aquila rapax) in the southern Kalahari. This model does not include behavioural adaptations. We develop a new model by assuming that the birds enlarge their average territory size to compensate for lower amounts of precipitation. Here, we found the predicted increase in risk of extinction due to climate change to be much lower than in the original model. However, this "buffering" of climate change by behavioural adaptation is not very effective in coping with increasing interannual variances. We refer to further examples of ecological "buffering mechanisms" from the literature and argue that possible buffering mechanisms should be given due consideration when the effects of climate change on biodiversity are to be predicted. (c) 2004 Elsevier B.V. All rights reserved},
  language  = {en}
}
@article{WichmannGroeneveldJeltschetal.2005,
  author    = {Wichmann, Matthias and Groeneveld, J{\"u}rgen and Jeltsch, Florian and Grimm, Volker},
  title     = {Mitigation of climate change impacts on raptors by behavioural adaption : ecological buffering mechanism},
  year      = {2005},
  language  = {en}
}
@article{WichmannJohstSchwageretal.2005,
  author    = {Wichmann, Matthias and Johst, Karin and Schwager, Monika and Jeltsch, Florian and Blasius, Bernd},
  title     = {Extinction risk, coloured noise and the scaling of variance},
  year      = {2005},
  abstract  = {The impact of temporally correlated fluctuating environments (coloured noise) on the extinction risk of populations has become a main focus in theoretical population ecology. In this study we particularly focus on the extinction risk in strongly autocorrelated environments. Here, in contrast to moderate autocorrelation, we found the extinction risk to be highly dependent on the process of noise generation, in particular on the method of variance scaling. Such variance scaling is commonly applied to avoid variance-driven biases when comparing the extinction risk for white and coloured noise. In this study we found an often-used scaling technique to lead to high variability in the resulting variances of different time series for strong auto-correlation eventually leading to deviations in the projected extinction risk. Therefore, we present an alternative method that always delivers the target variance, even in the case of strong temporal correlation. Furthermore, in contrast to the earlier method, our very intuitive method is not bound to auto-regressive processes but can be applied to all types of coloured noises. We recommend the method introduced here to be used when the target of interest is the effect of noise colour on extinction risk not obscured by any variance effects.},
  language  = {en}
}