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We suggest (Proposition 5) that a community is functionally assembled when there is at least one species representing each functional type that is adapted to the habitat. We suggest (Proposition 6) that a community is fully assembled when each functional type has the maximum number of species that can coexist. Much biological diversity lies in the lower tail of the log-normal distribution, yet ecologists frequently trim this tail of rare species to construct models. The rising tide of species extinctions requires us to revisit this procedure, and to consider how to include conservation of rare species in models for community assembly. This requires us to recognize that there are two types of “rare” species in ecological data sets: those that are merely rare in samples and those that are designated as globally rare and at risk of extinction. Most communities arise from pre-existing communities, so when filters change there is often inertia in community response, and this inertia is related to traits. The principles laid out in this book provide a guide not only to theoretical understanding but for the challenges of ecological restoration.
This book addresses an important problem in ecology: how are communities assembled from species pools? This pressing question underlies a broad array of practical problems in ecology and environmental science, including restoration of damaged landscapes, management of protected areas, and protection of threatened species. This book presents a simple logical structure for ecological assembly and addresses key areas including species pools, traits, environmental filters, and functional groups. It demonstrates the use of two predictive models (CATS and Traitspace) and consists of many wide-ranging examples including plants in deserts, wetlands, and forests, and communities of fish, amphibians, birds, mammals, and fungi. Global in scope, this volume ranges from the arid lands of North Africa, to forests in the Himalayas, to Amazonian floodplains. There is a strong focus on applications, particularly the twin challenges of conserving biodiversity and understanding community responses to climate change.
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