Deep learning is driving recent advances behind many everyday technologies, including
speech and image recognition, natural language processing and autonomous driving. It is …

We give a comprehensive review of Chesson's coexistence theory, summarizing, for the first
time, all its fundamental details in one single document. Our goal is for both theoretical and …

Clonal hematopoiesis, a condition in which individual hematopoietic stem cell clones
generate a disproportionate fraction of blood leukocytes, correlates with higher risk for …

This book is the first authored overview of resilience in tourism and its relationship to the
broader resilience literature. The volume takes a multi-scaled approach to examine …

A plethora of different theories, models, and concepts make up the field of community
ecology. Amid this vast body of work, is it possible to build one general theory of ecological …

As global warming continues, reef-building corals could avoid local population declines
through “genetic rescue” involving exchange of heat-tolerant genotypes across latitudes, but …

Bayesian modeling has become an indispensable tool for ecological research because it is
uniquely suited to deal with complexity in a statistically coherent way. This textbook provides …

Many animals, including humans, acquire valuable skills and knowledge by copying others.
Scientists refer to this as social learning. It is one of the most exciting and rapidly develo** …

Parasites and infectious diseases are everywhere and represent some of the most potent
forces sha** the natural world. They affect almost every aspect imaginable in the life of …

Ecological Models and Data in R is the first truly practical introduction to modern statistical
methods for ecology. In step-by-step detail, the book teaches ecology graduate students and …