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Predicting global dynamics from local interactions: individual-based models predict complex features of marine epibenthic communities
Institution:1. Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA;2. Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA;3. Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA;4. Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, USA;1. Donostia International Physics Center, Paseo Manuel de Lardizabal 4, Donostia 20018, Spain;2. CIC biomaGUNE, Paseo de Miramón 182, Donostia 20014, Spain;3. Ikerbasque, Basque Foundation for Science, Bilbao 48011, Spain;1. School of Chemistry and Chemical Engineering, Ningxia University, Yinchuan 750021, PR China;2. Department of Chemistry, Ningxia Medical University, Yinchuan 750004, PR China;1. Aragón Institute of Engineering Research (I3A), EINA, Department of Analytical Chemistry, University of Zaragoza, María de Luna 3 (Torres Quevedo Bldg.), 50018 Zaragoza, Spain;2. Goglio S.p.A. Packaging Division, Via dell''Industria 7, 21020 Daverio (VA), Italy;1. Asclepios Research Project, INRIA Sophia Antipolis, Sophia Antipolis, France;2. IRCCS Fatebenefratelli, Brescia, Italy;3. Memory Clinic, University Hospitals and University of Geneva, Geneva, Switzerland
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