By Michael L. Morrison, William M. Block, M. Dale Strickland, William L. Kendall (auth.)
Regardless of the variety of natural world and conservation experiences which are performed, researchers and source managers haven't had a finished consultant to making plans new stories. flora and fauna examine layout fills that want by means of overlaying all facets of research layout, together with surveys of significant forms of stories and variables, impression evaluation, sampling recommendations, inventorying and tracking, and research of information. The publication contains a functional, step by step advisor to developing a brand new research. minimum mathematical notation and examples drawn from box examine make utilized animal ecology either obtainable and correct. source managers, researchers, and scholars of natural world and conservation biology will locate this publication a primary source for enforcing and comparing applicable reviews.
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Extra info for Wildlife Study Design
Replication and the subsequent proper statistical inference must keep the proper experimental unit in mind. In studies of wildlife populations, the experimental unit may be an animal, a group of animals, or all the animals within a speciﬁc geographic area. Using the wrong experimental unit can lead to errors in the identiﬁcation of the proper sample size and estimates of sample variance. Conﬁdence in the results of studies improves with increased replication; generally speaking, the more replication in ﬁeld studies the better.
Torrie. 1980. Principles and Procedures of Statistics: A Biometrical Approach, 2d ed. McGraw-Hill, New York. P. Hayes, and E. Schauber. 1997. Statistical power analysis in wildlife research. J. Wildl. Manage. 61:270–279. W. R. Parker. 1986. Environmental impact assessment: “Pseudoreplication” in time? Ecology 67:929– 940. K. 1992. Sampling. Wiley, New York. J. 1994. On beyond BACI: Sampling designs that might reliably detect environmental disturbances. Ecol. Applic. 4:3–15. 1. J. 1986. Adaptive Management of Renewable Resources.
Measuring and Monitoring Biological Diversity: Standard Methods for Mammals, pp. 226– 29 234. , Washington, DC. , T. E. H. R. Sauer. 1998a. Estimating rates of local species extinction, colonization, and turnover in animal communities. Ecol. Applic. 8:1213– 1225. ———. 1998b. Inference methods for spatial variation in species richness and community composition when not all species are detected. Conserv. Biol. 12:1390–1398. E. R. W. E. J. Heglund (2000). A doubleobserver approach for estimating detection probability and abundance from point counts.