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This book has been peer-reviewed
- Book launch 27-Ago-2014!!
Mariana Benítez, Octavio
Prologue by Stuart A. Kauffman
biology, complex systems, theoretical ecology, biogeography,
biodiversity, non-linear science, evolution, social evolution,
modularity, complex networks, ecosytem restoration, agroecology,
pangenomics, microbiology, linguistics, cancer ecosystems, population
ecology, cooperation, chaos, criticality, self-organization.
Trends in Science Series
In co-Edition with EditoraC3
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in molecular biology, remote sensing, systems biology, bioinformatics,
non-linear science, the physics of complex systems and other fields
have rendered a great amount of data that remain to be integrated into
models and theories that are capable of accounting for the complexity
of ecological systems and the evolutionary dynamics of life. It is thus
necessary to provide a solid basis to discuss and reflect on these and
other challenges both at the local and global scales. This volume aims
to delineate an integrative and interdisciplinary view that suggests
new avenues in research and teaching, critically discusses the scope of
the diverse methods in the study of complex systems, and points at key
open questions. Finally, this book will provide students and
specialists with a collection of high quality open access essays that
will contribute to integrate Ecology, Evolution and Complexity in the
context of basic research and in the field of Sustainability Sciences.
is a full-time researcher at the Ecology Institute of the Universidad
Nacional Autónoma de México (UNAM) in Mexico City and a member of the
Board of Directors at the Center for Complexity Sciences, C3-UNAM.
Octavio Miramontes is a full-time researcher at the
Physics Institute of the Universidad Nacional Autónoma de México (UNAM)
in Mexico City and a founding member of the Board of Directors at the
Complexity Sciences, C3-UNAM.
a full-time researcher at the Ecology Institute of the
Universidad Nacional Autónoma de México (UNAM) in Mexico City and an
member of the Center for Complexity Sciences,