Demography is everywhere in our lives: from birth to death. Indeed,
the universal currencies of survival, development, reproduction,
and recruitment shape the performance of all species, from microbes
to humans. The number of techniques for demographic data
acquisition and analyses across the entire tree of life (microbes,
fungi, plants, and animals) has drastically increased in recent
decades. These developments have been partially facilitated by the
advent of technologies such as GIS and drones, as well as
analytical methods including Bayesian statistics and
high-throughput molecular analyses. However, despite the
universality of demography and the significant research potential
that could emerge from unifying: (i) questions across taxa, (ii)
data collection protocols, and (iii) analytical tools, demographic
methods to date have remained taxonomically siloed and
methodologically disintegrated. This is the first book to attempt a
truly unified approach to demography and population ecology in
order to address a wide range of questions in ecology, evolution,
and conservation biology across the entire spectrum of life. This
novel book provides the reader with the fundamentals of data
collection, model construction, analyses, and interpretation across
a wide repertoire of demographic techniques and protocols. It
introduces the novice demographer to a broad range of demographic
methods, including abundance-based models, life tables, matrix
population models, integral projection models, integrated
population models, individual based models, and more. Through the
careful integration of data collection methods, analytical
approaches, and applications, clearly guided throughout with fully
reproducible R scripts, the book provides an up-to-date and
authoritative overview of the most popular and effective
demographic tools. Demographic Methods across the Tree of Life is
aimed at graduate students and professional researchers in the
fields of demography, ecology, animal behaviour, genetics,
evolutionary biology, mathematical biology, and wildlife
management.
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