Nathan G Swenson – författare
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Plant Function Traits: Linking Climate and Ecosystem Functioning, part of the Plant Biology, Sustainability and Climate Change series, presents a wholistic understanding of Plant Functional Traits. As global climate change advances, natural resources are facing increasing survival challenges, hence this book directly addresses that need, exploring the morphological, physiological, and phenological properties of a plant that can be used as a proxy to understand plant environment interactions. Users will find great illustrations throughout individual chapters, along with case studies that demonstrate applications of functional traits in classifying vegetation of a region into distinct type groups as Plant Functional Types (PFTs).Additional information includes applications in the development of new generation of Dynamic Global Vegetation Model (DGVM) and an understanding of the response of vegetation to changing environments.
Presents foundational insights into multiple functional trait axesDescribes the quantification of functional traits from individuals to regionsIncludes the role of functional traits in developing new vegetation models for assessing the impact of climate change on plants1 756 kr
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Functional and Phylogenetic Ecology in R is designed to teach readers to use R for phylogenetic and functional trait analyses. Over the past decade, a dizzying array of tools and methods were generated to incorporate phylogenetic and functional information into traditional ecological analyses. Increasingly these tools are implemented in R, thus greatly expanding their impact. Researchers getting started in R can use this volume as a step-by-step entryway into phylogenetic and functional analyses for ecology in R. More advanced users will be able to use this volume as a quick reference to understand particular analyses. The volume begins with an introduction to the R environment and handling relevant data in R. Chapters then cover phylogenetic and functional metrics of biodiversity; null modeling and randomizations for phylogenetic and functional trait analyses; integrating phylogenetic and functional trait information; and interfacing the R environment with a popular C-based program. This book presents a unique approach through its focus on ecological analyses and not macroevolutionary analyses. The author provides his own code, so that the reader is guided through the computational steps to calculate the desired metrics. This guided approach simplifies the work of determining which package to use for any given analysis. Example datasets are shared to help readers practice, and readers can then quickly turn to their own datasets.