Designing, Managing and Monitoring
Conservation and Development Projects
Ecological theories and hypotheses are usually complex because of natural variability in space and time, which often makes the design of experiments difficult. The statistical tests we use require data to be collected carefully and with proper regard to the needs of these tests.  These textbook resources, many being university curriculum, provide the methodology for successfully monitoring wildlife biodiversity, and for plant and animal studies.

Drawing from his graduate course, Ebert (biology, State U. of San Diego) introduces students who have completed an elementary course in ecology to the analysis of animal and plant life cycles as a central element in managing and conserving species.   He emphasizes analyzing population data from a wide variety of organisms, and makes examples of terrestrial and aquatic plants and of animals from equatorial rain forests to the arctic tundra.  Plant and Animal Populations is a bridge from introductory ecology to both applied and theoretical demography.   Emphasis is on the analysis of population data taken from a wide variety of organisms. Examples come from terrestrial and aquatic plants and also from animals found in equatorial rain forests to the arctic tundra.   The computer programs provided are written in BASIC and include tools for population projection, matrix analysis using both sensitivity and elasticity, individual growth and more.  From Book News, Inc.

Anyone working with wildlife must be concerned with its habitats identification, measurement, and analysis.    Wildlife-Habitat Relationships goes beyond introductory wildlife biology texts and specialised studies of single species to provide a broad but advanced understanding of habitat relationships applicable to all terrestrial species.    It also includes coverage of spatial analysis, landscape ecology, animal populations and their quantification, behavioural studies, and resources available.

Comprises 27 exercises targeted towards upper-level conservation biology and wildlife management college students.   The exercises touch upon: population issues such as habitat fragmentation, genetic drift, and ecological monitoring; species issues including the invasion of foreign species, and population reintroduction; ecosystem problems such as forest harvesting an land use planning; and finally, governmental policy issues. Book News, Inc.®, Portland, OR

A guide to successful conservation and development projects.   Measures of Success is a practical, hands-on guide to designing, managing, and measuring the impacts of community-oriented conservation and development projects.   It presents a simple, clear, logical, and yet comprehensive approach to developing and implementing effective programs, and can help conservation and development practitioners use principles of adaptive management to test assumptions about their projects and learn from the results.

Virtually any exercise in ecology will require some knowledge of the techniques for carrying out a census of population numbers.    This practical text outlines clearly, with worked examples, the main techniques used by field ecologists to enumerate plants and animals.

A corrected fourth printing providing a synthesis of useful methods of ecological data analysis. The volume was first published by Pudoc (Wageningen), 1987.   Includes examples, exercises, and case studies. Annotation c. by Book News, Inc., Portland, Or.
Originally published in 1987, the purpose of this reissue is to show ecologists and environmental scientists the most useful numerical and statistical methods and how to interpret results and avoid pitfalls.   Written for ecologists, it explains such techniques as logistic regression, canonical correspondence analysis, and "kriging."

Experiments in ecology require careful planning to produce data that can be used correctly in statistical tests.    Analysis of variance is an important set of tests which allow attention to be focussed on details of experimental design, such as the effect of different fertiliser treatments. This book introduces the need for a logical structure to experiments, describes procedures and explains the problems.

The modern ecologist usually works in both the field and laboratory, uses statistics and computers, and often works with ecological concepts that are model based, if not model driven. How do we make the field and laboratory coherent?   How do we link models and data?  How do we use statistics to help experimentation?   How do we integrate modelling and statistics?   How do we confront multiple hypotheses with data and assign degrees of belief to different hypotheses?