Surveying Natural Populations
'Splendidly useful for undergraduates, fieldworkers and academics' --New Scientist
NEW EDITION
TEXTBOOK
Lee-Ann C Hayek and Martin A Buzas
563 pages, figs, tabs.
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Surveying Natural Populations is a user-friendly primer to the essential methodologies of quantitative field ecology or paleoecology. Combining the
intuitive methods of the field researcher with the mathematical precision of the statistician, the volume determines, through real biodiversity and
ecological examples, the necessary measures for a complete community assessment while clarifying the confusions between biological and statistical
terminology. Focusing on underlying mathematical concepts, it describes how to complete incrementally a quantitative sampling of any recent or fossil
population.
The first half of the book explains the fundamentals of ecological assessment. Employing a single data set throughout, initial chapters navigate such topics as estimating densities, relative abundance, occurrences, the determination of adequate sample sizes and field sampling schemes. The second half covers the newest advances in biodiversity measurement. Through the use of information mathematics and decomposition, the authors mathematically examine the relationship among a number of proposed diversity indices and discard inappropriate measures.
What remains is a simple, all-encompassing system called SHE analysis, in which species density, richness, information, and evenness are all shown to be related explicitly. This biodiversity data is then integrated into a simple graphic, a plot called a biodiversitygram, which provides the researcher with a cohesive descriptive and inferential tool to assess any community's biodiversity.
The first half of the book explains the fundamentals of ecological assessment. Employing a single data set throughout, initial chapters navigate such topics as estimating densities, relative abundance, occurrences, the determination of adequate sample sizes and field sampling schemes. The second half covers the newest advances in biodiversity measurement. Through the use of information mathematics and decomposition, the authors mathematically examine the relationship among a number of proposed diversity indices and discard inappropriate measures.
What remains is a simple, all-encompassing system called SHE analysis, in which species density, richness, information, and evenness are all shown to be related explicitly. This biodiversity data is then integrated into a simple graphic, a plot called a biodiversitygram, which provides the researcher with a cohesive descriptive and inferential tool to assess any community's biodiversity.
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