Techniques in Wildlife Investigations: Design and Analysis of Capture Data
Techniques for Wildlife Investigations emphasizes the design of field studies and the statistical inferences that can be made from observed changes in animal abundance and populations. The information presented here is of value not only for wildlife management but also for social and economic decision-making related to the environmental effects of human activities on wildlife populations. Biologists, ecologists, biometricians, fish and game managers will find this book invaluable in their work.
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Chapter 2 Use of Preliminary Survey Data
Chapter 3 Surveys of Animal Abundance
Chapter 4 Comparative Censuses
Chapter 5 Manipulative Experiments
Chapter 6 Environmental Assessment Studies
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a-level absolute abundance abun abundance estimates abundance studies accident assessment alternative animal abundance approximately assumptions block capture data capture probabilities catch indices coefﬁcient comparative census completely randomized design contingency table control and treatment cost function CTP design deﬁned degrees of freedom distributed error variance ﬁeld design ﬁeld experiments ﬁeld study Figure ﬁrst ﬁxed heterogeneity inﬂuence interpopulation homogeneity interval estimate Lincoln Index manipulative experiments mean abundance ment multiple-mark—recapture noncentral F-distribution noncentrality parameter normally distributed null hypothesis number of animals odd’s ratio design one-tailed open-population paired design per-period capture probability Peromyscus maniculatus plot-to-plot variance Poisson power calculations precision probability of capture proportional abundance randomization replication sampling error sampling periods signiﬁcant Skalski spatial speciﬁc statistical inference statistical population study plots sufﬁcient survey model temporal test of impact test statistic tests of homogeneity tion trap density trapping effort treatment effects treatment sites Var(N variance component wildlife investigations