Plant Strategies by Daniel C. Laughlin

£39.99
Available
Product Ref. (e.g. ISBN, SKU)
9780192867957
Published:
27 Jul 2023
Format:
Paperback
Number of pages:
512 pages
Dimensions:
245x172x22mm
Weight:
0.882kgs
The goal of this accessible book is to articulate a coherent framework that unifies life history theory with comparative functional ecology to advance prediction in plant ecology. Predicting how species respond to global change is perhaps the most important challenge of our time.
How do plants make a living? Some plants are gamblers, others are swindlers. Some plants are habitual spenders while others are strugglers and miserly savers. Plants have evolved a spectacular array of solutions to the existential problems of survival and reproduction in a world where resources are scarce, disturbances can be deadly, and competition is cut-throat. Few topics have both captured the imagination and furrowed the brows of plant ecologists, yet no topic is more important for understanding the assembly of plant communities, predicting plant responses to global change, and enhancing the restoration of our rapidly degrading biosphere. The vast array of plant strategy models that characterize the discipline now require synthesis. These models tend to emphasize either life history strategies based on demography, or functional strategies based on ecophysiology. Indeed, this disciplinary divide between demography and physiology runs deep and continues to this today. The goal of this accessible book is to articulate a coherent framework that unifies life history theory with comparative functional ecology to advance prediction in plant ecology. Armed with a deeper understanding of the dimensionality of life history and functional traits, we are now equipped to quantitively link phenotypes to population growth rates across gradients of resource availability and disturbance regimes. Predicting how species respond to global change is perhaps the most important challenge of our time. A robust framework for plant strategy theory will advance this research agenda by testing the generality of traits for predicting population dynamics.

About the Author: Daniel C. Laughlin is Associate Professor, Department of Botany, University of Wyoming, USA. His laboratory develops quantitative approaches to understand and predict how plant species and communities respond to global change. He currently teaches courses in ecological modelling and vegetation ecology, and is Associate Editor of Ecology & Ecological Monographs.

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Number of pages 512

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