@article{RudnerSchroederEsselbachBiedermannetal.2003,
  author    = {Rudner, Michael and Schr{\"o}der-Esselbach, Boris and Biedermann, Robert and M{\"u}ller, Mark},
  title     = {Habitat modelling in GIMOLUS - webGIS-based e-learning modules using logistic regression to assess species- habitat relationships},
  year      = {2003},
  language  = {en}
}
@article{RudnerSchroederEsselbachBiedermannetal.2003,
  author    = {Rudner, Michael and Schr{\"o}der-Esselbach, Boris and Biedermann, Robert and Kleyer, Michael},
  title     = {Habitatmodellierung in der Landschafts{\"o}kologie},
  isbn      = {3-87907-417-8},
  year      = {2003},
  abstract  = {Das Teilprojekt Landschafts- und Aut{\"o}kologie (L{\"O}K) hat den Schwerpunkt auf die Erarbeitung einer e- Learning-Einheit zur Habitatmodellierung im allgemeinen und dem Verfahren der logistischen Regression im speziellen gelegt. In den sechs Lernmodulen der Lerneinheit werden alle f{\"u}r eine erfolgreiche Modellierung der Habitateignung erforderlichen Arbeitsschritte sequentiell behandelt. Die wesentlichen Schritte werden mit interaktiven Aufgaben vertieft, in welchen an entscheidenden Stellen WebGIS eingesetzt wird. Der r{\"a}umliche Bezug wird in der Regel {\"u}ber WebGIS- Anwendungen zu einer virtuellen Landschaft hergestellt, die in das GIMOLUS-System integriert ist. Die erforderlichen Datens{\"a}tze f{\"u}r die Analyse von Art-Habitat- Beziehungen werden bereitgestellt oder k{\"o}nnen interaktiv aus der virtuellen Landschaft erzeugt werden.},
  language  = {de}
}
@article{SchroederEsselbachRudnerBiedermannetal.2004,
  author    = {Schr{\"o}der-Esselbach, Boris and Rudner, Michael and Biedermann, Robert and Kleyer, Michael},
  title     = {{\"O}kologische \& sozio-{\"o}konomische Bewertung von Managementsystemen f{\"u}r die Offenhaltung von Landschaften - ein integriertes Landschaftsmodell},
  year      = {2004},
  language  = {de}
}
@article{KleyerSchroederEsselbachBiedermannetal.2004,
  author    = {Kleyer, Michael and Schr{\"o}der-Esselbach, Boris and Biedermann, Robert and Rudner, Michael and Fritzsch, K. and K{\"u}hner, A. and Poschlod, P. and Kahmen, S. and Tackenberg, O. and Talmon, E. and Poethke, H.-J. and Obermaier, E. and Hein, S. and Hinsch, M. and Henle, K. and Settele, Josef and Binzenh{\"o}fer, Birgit and Pfeifer, A. and K{\"o}gl, H.},
  title     = {Freie Beweidung mit geringer Besatzdichte und Fr{\"a}sen als alternative Verfahren zur Pflege von Magerrasen},
  issn      = {0341-7026},
  year      = {2004},
  language  = {de}
}
@article{RudnerSchroederEsselbachBiedermannetal.2004,
  author    = {Rudner, Michael and Schr{\"o}der-Esselbach, Boris and Biedermann, Robert and Kleyer, Michael},
  title     = {Habitatmodellierung in GIMOLUS : e-Learning Module zur Verwendung der logistischen Regression zur Analyse der Art-Umwelt-Beziehungen},
  year      = {2004},
  language  = {de}
}
@article{BinzenhoeferSchroderStraussetal.2005,
  author    = {Binzenh{\"o}fer, Birgit and Schroder, B. and Strauss, B. and Biedermann, Robert and Settele, Josef},
  title     = {Habitat models and habitat connectivity analysis for butterflies and burnet moths : the example of Zygaena carniolica and Coenonympha arcania},
  year      = {2005},
  abstract  = {In this paper, habitat models were used to predict potential habitat for endangered species, which is an important question in landscape and conservation planning. Based on logistic regression, we developed habitat distribution models for the burnet moth Zygaena carniolica and the nymphalid butterfly Coenonympha arcania in Northern Bavaria, Germany. The relation between adult occurrence and habitat parameters, including the influence of landscape context, was analyzed on, 118 sites. Habitat connectivity analyses were carried out on the basis of (1) habitat suitability maps generated from these models and (2) dispersal data from mark recapture studies. Our results showed that (1) the presence of the burnet depended mainly on the presence of nectar plants and of nutrient-poor dry grasslands in direct vicinity, that of the nymphalid on larger areas of extensively used dry grasslands within 100 m vicinity in combination with small patches of higher shrubs and bushes. (2) Internal as well as external validation indicated the robustness and general applicability of the models. Transferability in time and space indicated their high potential relevance for applications in nature conservation, such as predicting possible effects of land use changes. (3) Habitat connectivity analyses revealed a high degree of habitat connectivity within the study area. Thus, we could show no effects of isolation or habitat size for both species. (c) 2005 Elsevier Ltd. All rights reserved},
  language  = {en}
}
@article{PagelFritzschBiedermannetal.2008,
  author    = {Pagel, J{\"o}rn and Fritzsch, Katrin and Biedermann, Robert and Schr{\"o}der-Esselbach, Boris},
  title     = {Annual plants under cyclic disturbance regime : better understanding through model aggregation},
  issn      = {1051-0761},
  year      = {2008},
  abstract  = {In their application for conservation ecology, 'classical' analytical models and individual-based simulation models (IBMs) both entail their specific strengths and weaknesses, either in providing a detailed and realistic representation of processes or in regard to a comprehensive model analysis. This well-known dilemma may be resolved by the combination of both approaches when tackling certain problems of conservation ecology. Following this idea, we present the complementary use of both an IBM and a matrix population model in a case study on grassland conservation management. First, we develop a spatially explicit IBM to simulate the long-term response of the annual plant Thlaspi perfoliatum (Brassicaceae), claspleaf pennycress, to different management schemes (annual mowing vs. infrequent rototilling) based on field experiments. In order to complement the simulation results by further analyses, we aggregate the IBM to a spatially nonexplicit deterministic matrix population model. Within the periodic environment created by management regimes, population dynamics are described by periodic products of annual transition matrices. Such periodic matrix products provide a very conclusive framework to study the responses of species to different management return intervals. Thus, using tools of matrix model analysis (e.g., loop analysis), we can both identify dormancy within the age-structured seed bank as the pivotal strategy for persistence under cyclic disturbance regimes and reveal crucial thresholds in some less certain parameters. Results of matrix model analyses are therefore successfully tested by comparing their results to the respective IBM simulations. Their implications for an enhanced scientific basis for management decisions are discussed as well as some general benefits and limitations of the use of aggregating modeling approaches in conservation.},
  language  = {en}
}