
Theoretical Ecology: concepts and applications continues the authoritative and established sequence of theoretical ecology books initiated by Robert M. May which helped pave the way for ecology to become a more robust theoretical science, encouraging the modern biologist to better understand the mathematics behind their theories. This latest instalment builds on the legacy of its predecessors with a completely new set of contributions. Rather than placing emphasis on the historical ideas in theoretical ecology, the Editors have encouraged each contribution to: synthesize historical theoretical ideas within modern frameworks that have emerged in the last 10-20 years (e.g. bridging population interactions to whole food webs); describe novel theory that has emerged in the last 20 years from historical empirical areas (e.g. macro-ecology); and finally to cover the rapidly expanding area of theoretical ecological applications (e.g. disease theory and global change theory). The result is a forward-looking synthesis that will help guide the field through a further decade of discovery and development. It is written for upper level undergraduate students, graduate students, and researchers seeking synthesis and the state of the art in growing areas of interest in theoretical ecology, genetics, evolutionary ecology, and mathematical biology.
This volume investigates the current state and future trajectory of theoretical ecology by synthesizing historical concepts with modern mathematical frameworks and emerging empirical research. Editors Gabriel Gellner and Kevin S. McCann curate a collection of contributions that bridge the gap between foundational ecological theory and contemporary challenges. The text serves as a successor to the influential series initiated by Robert M. May, providing a rigorous update for researchers and students navigating the intersection of biology and mathematics.
What You Will Find
Scope Limits
Experts recognize this work as a significant continuation of the foundational literature in theoretical ecology, particularly for its focus on bridging population interactions with whole food webs. Readers frequently note the high level of technical density, making it a standard reference for graduate students and researchers in mathematical biology.
Page Count:
320
Publication Date:
2020-01-01
Publisher:
OUP Oxford
ISBN-10:
0192557785
ISBN-13:
9780192557780
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