By Robert A. Gitzen, Joshua J. Millspaugh, Andrew B. Cooper, Daniel S. Licht
To supply invaluable and significant info, long term ecological courses have to enforce good and effective statistical techniques for amassing and studying information. This quantity presents rigorous tips on quantitative matters in tracking, with contributions from international specialists within the box. those specialists have huge adventure in educating basic and complex principles and strategies to usual source managers, scientists, and scholars. The chapters current quite a number instruments and techniques, together with distinctive insurance of variance part estimation and quantitative choice between substitute designs; spatially balanced sampling; sampling options integrating layout- and model-based ways; and complex analytical techniques resembling hierarchical and structural equation modelling. Making those instruments extra obtainable to ecologists and different tracking practitioners throughout quite a few disciplines, this can be a beneficial source for any specialist whose paintings offers with ecological tracking. Supplementary instance software program code is accessible on-line at www.cambridge.org/9780521191548.
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Design and Analysis of Long-term Ecological Monitoring Studies
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Extra resources for Design and Analysis of Long-term Ecological Monitoring Studies
Example text
The non-mechanical issues involved are highly technical (Chapters 8, 9), conceptual, and practical: what quality of information do we need from monitoring data, what is the best benchmark of quality (power for trend, power to assess whether a defined threshold has been crossed, precision, value in updating model weights as in Chapter 4), what analysis will we use to turn data into conclusions, what are the sources of significant variance and bias affecting the study, and how do we estimate and address these components?
Metrics may be related to predictive accuracy or ability to correctly select from a set of alternative statistical models tied to subject-matter scientific hypotheses (Burnham and Anderson 2002; Chapter 15). Clearly, in most broad-scale long-term monitoring studies, there will be numerous unintended uses of data, unexpected changes in objectives or questions of interest, and the potential for new analytical methods. Monitoring programs have to count on, Ecological monitoring 15 and plan for, the unexpected.
Increasingly, few monitoring programs focused on occurrence of species with imperfect detectability would even propose a monitoring design that does not take advantage of developments in this field that are only a few years old, and few reviewers of proposed study designs or subsequent results would be tolerant of those that ignored these developments. g. biases due to incomplete detection of individuals and species present on measured plots). Opportunities for continued progress However, these aren’t all happy days.