TY - BOOK A1 - Brzoska, Patrick A1 - Voigtländer, Sven A1 - Reutin, Barbara A1 - Yilmaz-Aslan, Yüce A1 - Barz, Irina A1 - Starikow, Klara A1 - Reiss, Katharina A1 - Dröge, Angela A1 - Hinz, Julia A1 - Exner, Anne A1 - Striedelmeyer, Lena A1 - Krupa, Elzbieta A1 - Spallek, Jacob A1 - Berg-Beckhoff, Gabriele A1 - Schott, Thomas A1 - Razum, Oliver T1 - Rehabilitative Versorgung und gesundheitsbedingte Frühberentung von Personen mit Migrationshintergrund in Deutschland : Abschlussbericht Y1 - 2010 PB - Bundesministerium für Arbeit und Soziales CY - Bonn ER - TY - GEN A1 - Berg, Gabriele A1 - Spallek, Jacob A1 - Schüz, Joachim A1 - Schlehofer, Brigitte A1 - Böhler, Eva A1 - Schlaefer, Klaus A1 - Hettinger, Iris A1 - Kunna-Grass, Katharina A1 - Wahrendorf, Jürgen A1 - Blettner, Maria T1 - Occupational exposure of radiofrequency radiation and risk of brain tumors T2 - American Journal of Epidemiology Y1 - 2006 U6 - https://doi.org/10.1093/aje/kwj247 SN - 1476-6256 SN - 0002-9262 VL - 164 IS - 6 SP - 538 EP - 548 ER - TY - RPRT A1 - Brzoska, Patrick A1 - Voigtländer, Sven A1 - Reutin, Barbara A1 - Yilmaz-Aslan, Yüce A1 - Barz, Irina A1 - Starikow, Klara A1 - Reiss, Katharina A1 - Dröge, Angela A1 - Hinz, Julia A1 - Exner, Anne A1 - Striedelmeyer, Lena A1 - Krupa, Elzbieta A1 - Spallek, Jacob A1 - Berg-Beckhoff, Gabriele A1 - Schott, Thomas A1 - Razum, Oliver T1 - Rehabilitative Versorgung und gesundheitsbedingte Frühberentung von Personen mit Migrationshintergrund in Deutschland Y1 - 2010 PB - Bundesministerium für Arbeit und Soziales CY - Bonn ER - TY - GEN A1 - Jeltsch, Florian A1 - Roeleke, Manuel A1 - Abdelfattah, Ahmed A1 - Arlinghaus, Robert A1 - Berg, Gabriele A1 - Blaum, Niels A1 - De Meester, Luc A1 - Dittmann, Elke A1 - Eccard, Jana Anja A1 - Fournier, Bertrand A1 - Gaedke, Ursula A1 - Gallagher, Cara A1 - Govaert, Lynn A1 - Hauber, Mark A1 - Jeschke, Jonathan M. A1 - Kramer-Schadt, Stephanie A1 - Linstädter, Anja A1 - Lucke, Ulrike A1 - Mazza, Valeria A1 - Metzler, Ralf A1 - Nendel, Claas A1 - Radchuk, Viktoriia A1 - Rillig, Matthias C. A1 - Ryo, Masahiro A1 - Scheiter, Katharina A1 - Tiedemann, Ralph A1 - Tietjen, Britta A1 - Voigt, Christian C. A1 - Weithoff, Guntram A1 - Wolinska, Justyna A1 - Zurell, Damaris T1 - The need for an individual-based global change ecology T2 - Individual-based ecology N2 - Biodiversity loss and widespread ecosystem degradation are among the most pressing challenges of our time, requiring urgent action. Yet our understanding of their causes remains limited because prevailing ecological concepts and approaches often overlook the underlying complex interactions of individuals of the same or different species, interacting with each other and with their environment. We propose a paradigm shift in ecological science, moving from simplifying frameworks that use species, population or community averages to an integrative approach that recognizes individual organisms as fundamental agents of ecological change. The urgency of the biodiversity crisis requires such a paradigm shift to advance ecology towards a predictive science by elucidating the causal mechanisms linking individual variation and adaptive behaviour to emergent properties of populations, communities, ecosystems, and ecological interactions with human interventions. Recent advances in computational technologies, sensors, and analytical tools now offer unprecedented opportunities to overcome past challenges and lay the foundation for a truly integrated Individual-Based Global Change Ecology (IBGCE). Unravelling the potential role of individual variability in global change impact analyses will require a systematic combination of empirical, experimental and modelling studies across systems, while taking into account multiple drivers of global change and their interactions. Key priorities include refining theoretical frameworks, developing benchmark models and standardized toolsets, and systematically incorporating individual variation and adaptive behaviour into empirical field work, experiments and predictive models. The emerging synergies between individual-based modelling, big data approaches, and machine learning hold great promise for addressing the inherent complexity of ecosystems. Each step in the development of IBGCE must systematically balance the complexity of the individual perspective with parsimony, computational efficiency, and experimental feasibility. IBGCE aims to unravel and predict the dynamics of biodiversity in the Anthropocene through a comprehensive study of individual organisms, their variability and their interactions. It will provide a critical foundation for considering individual variation and behaviour for future conservation and sustainability management, taking into account individual-to-ecosystem pathways and feedbacks. KW - Agent-based KW - Biodiversity crisis KW - Climate change KW - Ecological theory KW - Individual trait variation KW - Predictions KW - Scaling up Y1 - 2025 U6 - https://doi.org/10.3897/ibe.1.148200 SN - 3033-0947 VL - 1 SP - 1 EP - 18 PB - Pensoft Publishers CY - Sofia ER -