Integrating dynamic and statistical modelling approaches in order to improve predictions for scenarios of environmental change [Elektronische Ressource] / Damaris Zurell. Betreuer: Boris Schröder

Institut für Erd- und Umweltwissenschaften Arbeitsgruppe Environmental Modelling Integrating dynamic and statistical modelling approaches in order to improve predictions for scenarios of environmental change Kumulative Dissertation zur Erlangung des akademischen Grades "doctor rerum naturalium" (Dr. rer. nat.) in der Wissenschaftsdisziplin "Geoökologie" eingereicht an der Mathematisch-Naturwissenschaftlichen Fakultät der Universität Potsdam von Damaris Zurell aus Templin Potsdam, den 05.05.2011 Published online at the Institutional Repository of the University of Potsdam: URL http://opus.kobv.de/ubp/volltexte/2011/5684/ URN urn:nbn:de:kobv:517-opus-56845 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-56845 if tha eva does owt for nowt do it for thi sen Yorkshire saying Contents Contents CONTENTS I SUMMARY V ZUSAMMENFASSUNG VII 1 GENERAL INTRODUCTION 1 1.1 Motivation and objectives 2 1.2 State of the art 6 1.2.1 Correlative species distribution models 6 1.2.2 Mechanistic models of species distributions 11 1.2.3 ‘Hybrid’ models of species distributions 15 1.3 Thesis structure 16 2 THE VIRTUAL ECOLOGIST APPROACH: SIMULATING DATA AND OBSERVERS 19 2.1 Abstract 20 2.2 Introduction 20 2.3 The virtual ecologist approach 23 2.4 Past use of VE 26 2.4.