Conservation of Wildlife Populations: Demography, Genetics, and Management

Conservation of Wildlife Populations: Demography, Genetics, and Management

L. Scott Mills

Language: English

Pages: 342

ISBN: 0470671491

Format: PDF / Kindle (mobi) / ePub


Population ecology has matured to a sophisticated science with astonishing potential for contributing solutions to wildlife conservation and management challenges.  And yet, much of the applied power of wildlife population ecology remains untapped because its broad sweep across disparate subfields has been isolated in specialized texts.  In this book, L. Scott Mills covers the full spectrum of applied wildlife population ecology, including genomic tools for non-invasive genetic sampling, predation, population projections, climate change and invasive species, harvest modeling, viability analysis, focal species concepts, and analyses of connectivity in fragmented landscapes. With a readable style, analytical rigor, and hundreds of examples drawn from around the world, Conservation of Wildlife Populations (2nd ed) provides the conceptual basis for applying population ecology to wildlife conservation decision-making.  Although targeting primarily undergraduates and beginning graduate students with some basic training in basic ecology and statistics (in majors that could include wildlife biology, conservation biology, ecology, environmental studies, and biology), the book will also be useful for practitioners in the field who want to find - in one place and with plenty of applied examples - the latest advances in the genetic and demographic aspects of population ecology.

Additional resources for this book can be found at: www.wiley.com/go/mills/wildlifepopulations.

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Good recent update with descriptions of both promise and pitfalls for conservation. Leopold, A. (1933) Game Management. Charles Scribner’s Sons, New York. Leopold’s insights are as timely now as they were 80 years ago; the book also provides an excellent history of harvest management. CHAPTER 2 Designing studies and interpreting population biology data: how do we know what we know? ‘ It is not enough to say that we cannot know or judge because all the information is not in. The process of.

Changes and ever-deepening insights since this book went to press in 2006. I have added more than 225 new references, including 181 published since 2006, and substantially revised all chapters. Examples outside the US have been especially emphasized. A partial list of some of the most substantial expansions and additions in this edition includes: key concepts in hypothesis testing and information theoretic approaches; new advances in genomics and gene expression; estimating trend from real field.

Integrity, and intelligence. I also thank Blackwell Publishing – especially Rosie Hayden – for helping me throughout this project. Copy-editor Nik Prowse read the manuscript with sharp eyes that caught several embarrassing typos, and Janey Fisher expertly managed the project. My student helpers – Anna Semple, Aira Kidder, and Mike McDonald – helped keep things organized, as did Administrative Assistant Jeanne Franz. Finally, I thank my family, both here in Montana and elsewhere, for helping in so.

Human population size and the ability to harvest enough food to feed us; the paradox catalyzed Charles Darwin’s theory of natural selection as a driver of evolutionary change. Whether or not Malthus was right is a matter of hot debate that we will not wade into (at least 20 books address the topic in my local university library). Rather, the quotation helps us transition from considering conceptual pieces (e.g. study design, genetic tools, and measurements of vital rates) to understanding the.

Next year First year survival =0.019 Pre-juveniles Juveniles P (Becoming adult)=0.08 Adult survival=0.43 Adults Sample t + 1 Adults Female eggs per adult female =650 Juveniles Adults (b) 0 P (First year survival) 0 P (Juvenile becoming adult × eggs/adult) P (Remaining juvenile) P (Juvenile becoming adult) P (Adult survival × eggs/adult) 0 P (Adult survival) Fig. 6.3  A real-life example of a female-based post-birth-pulse matrix model for the common frog (Fig. 6.1). Female eggs per.

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