Analysis of Wildlife Radio-Tracking Data (eBook)

Robert A. Garrott, Gary C. White (Autoren)

eBook Download: PDF | EPUB

2012 | 1. Auflage
383 Seiten
Elsevier Science (Verlag)
978-0-08-092657-5 (ISBN)

Infos

With the substantial advances in the miniaturization of electronic components, wildlife biologists now routinely monitor the movements of free-ranging animals with radio-tracking devices. This book explicates the many analytical techniques and computer programs available to extract biological information from the radio tracking data. - Presentation of software programs for solving specific problems - Design of radio-tracking studies - Mechanics of data collection - Estimation of position by triangulation - Graphic presentation of animal migration, dispersal, fidelity, and association - Home range estimation, habitat utilization, and estimation of survival rates and population size

Inhalt

Front Cover 1
Analysis of Wildlife Radio-Tracking Data 4
Copyright Page 5
Table of Contents 6
Preface 12
Chapter 1. Preliminaries 16
Map Coordinate Systems 17
Entry of Data for Computer Processing 21
Summary 25
References 25
Chapter 2. Design of Radio-Tracking Studies 28
Radio-Tracking Studies and the Scientific Method 28
Treatments, Controls, and Replicates 32
Sampling and Statistical Considerations 34
Field Considerations 36
Final Thoughts 37
Summary 38
References 38
Chapter 3. Effects of Tagging on the Animal 42
Design of Experiments to Detect Effects of Transmitters on Animals 43
Effects of Transmitters on Animals 50
Summary 53
References 53
Chapter 4. Estimating Animal Locations 56
Nontriangulation Location Techniques 57
Triangulation Location Techniques 62
Performance of Lenth's Estimators 84
Data Quality Control and Censoring 87
Summary 89
References 90
Chapter 5. Designing and Testing Triangulation Systems 94
Measuring Accuracy of Directional Bearings 95
Special Considerations for Mobile Triangulation Systems 105
Designing the Triangulation System 109
Summary 125
References 126
Chapter 6. Simple Movements 128
Identifying and Correcting Data Errors 128
Still Graphics 130
Animated Graphics 134
Migration and Dispersal 136
Measuring Fidelity 148
Animal Association 152
Sample Size 155
Summary 156
References 156
Chapter 7. Home Range Estimation 160
Independence of Observations 162
Minimum Convex Polygon 163
Bivariate Normal Models 170
Nonparametric Approaches 181
Computer Programs for Home Range Calculation 188
Extension of Home Range Estimators 189
Evaluating Home Range Estimators 189
Similarity of Home Ranges 190
Preferred Home Range Estimator 193
Usefulness of the Home Range Concept 193
Summary 194
References 195
Chapter 8. Habitat Analysis 198
Availability 198
Utilization 200
Preference 201
Critical Habitat 213
Accuracy of Radio-Tracking Locations 215
Home Range Approach 216
Sample Size 217
Summary 218
References 219
Chapter 9. Survival Rate Estimation 222
Binomial Distribution 223
Parameter Estimation by Numerical Methods 228
Program SURVIV 230
Methods Incorporating Time Until Death 241
Medical Survival Analysis 257
Summary 266
References 267
Chapter 10. Population Estimation 270
Capture—Recapture Estimation 270
Line Transects 284
Aerial Surveys 284
Summary 284
References 285
Chapter 11. Data Analysis System 286
Need for Analysis System for Radio-Tracking Data 286
Data Analysis System Design 288
Current Directions 289
Summary 290
References 290
Appendix 1. Introduction 292
Appendix 2. FIELDS: Radio-Tracking Data Preprocessor 308
Appendix 3. BIOCHECK: Radio-Tracking Data Checking 310
Appendix 4. BIOPLOT: Radio-Tracking Data Plotting and Editing 314
Appendix 5. HOMER: Home Range Estimation 316
Appendix 6 PC SURVIV User's Manual Version 1.4 322
Appendix 7. SAS Home Range Estimation Procedures 358
Appendix 8. Survival Estimation Computer Listings 376
Appendix 9. SAS Monte Carlo Simulation of Capture-Recapture 382
Index 388

Textauszug

Chapter 2

Design of Radio-Tracking Studies

Radio-tracking provides a useful technique for studying the mechanics of wildlife populations. Movements (Chapter 6) provide information on how animals use the environment, migration patterns, dispersal, and activity patterns. Home range estimates (Chapter 7) quantify the area used by an animal. Habitat use studies provide information on habitat preference and, if properly defined, can provide information on the need for various habitat types (Chapter 8). Survival studies provide estimates of mortality rates (Chapter 9), and population estimation (Chapter 10) studies estimate the number of animals in the population. However, whether radio-tracking should be used in a study depends on the objectives of the study, the type of data to be collected, and the constraints put on the investigator regarding funding, field conditions, equipment limitations, and the species under study. The purpose of this chapter is to discuss the design of wildlife radio-tracking studies, with particular emphasis on conducting experiments to demonstrate cause-and-effect relationships.

Radio-Tracking Studies and the Scientific Method

A key step in the implementation of any radio-tracking study is careful design. Although this may seem obvious to most readers, it is an extremely important point which is occasionally overlooked or ignored by telemetry users. Sargeant (1980:58) stated, “It is likely that more money and effort have been wasted on ill-conceived radio-tracking studies than on the use of any other field technique.” It appears that the reason for these “ill-conceived” studies is the general attitude of some investigators that, by placing transmitters on a handful of animals and “tracking” them, one is guaranteed to obtain good biological data. This fact could not be further from the truth. Radio-tracking is nothing more than a specialized technique available to the investigator along with hundreds of other techniques for collecting information. A similar opinion has been expressed by Lance and Watson (1979:113):

… the purely descriptive study based on no apparent hypothesis and in which the objective is merely general information. Such a use of radio-tracking might be legitimate for exploring a wholly unknown subject, but these are few in ecology nowadays, and miscellaneous data-gathering is a poor reflection of the technique’s true potential.

To avoid this pitfall when planning a radio-tracking study we suggest applying the five steps of the basic scientific method. The first step is defining the scope of the problem to be addressed. Some studies may have very specific objectives and, hence, a detailed definition of the problem can be formulated at the very outset of the planning process. Often, however, the scope of a study is quite broad, leading to a very general definition. The second step is to study existing information that pertains to the defined problem. This can be a tedious and time-consuming process if a large body of literature has been published in the field of interest, but the time is well spent. Reviewing the results of previous studies allows one to become familiar with the current “state of knowledge” and aids in the formulation of specific hypotheses, the third step in the scientific method. This is an important step in the planning process, as explicitly defining each hypothesis to be tested before the study begins allows the investigator to design data collection procedures and statistical tests that will optimize one’s chance of obtaining conclusive results. Once methodology and sample size decisions have been made, the fourth step, data collection, is initiated. The final step in the scientific method is careful analysis of the data, allowing the investigator to draw conclusions about rejecting the hypotheses tested.

Wildlife radio-tracking studies can be divided into three basic conceptual designs: descriptive, correlational, and manipulative. The procedures outlined in the scientific method can be applied in all three designs, but are routinely used only in manipulative studies. Descriptive studies use radio-tracking to observe natural behavioral processes, usually with no attempt at hypothesis formulation or testing before the data are collected. Such studies are very common among telemetry users and include general investigations of home range size and shape and seasonal and daily movements. These studies are useful in learning more about the natural history of a species, but are limited to learning what an animal does, not why the animal is doing it (Sanderson 1966). To illustrate this point, consider a study of habitat utilization. A group of instrumented ungulates is located at random times throughout the day to determine the habitats used. Thus, the primary result of this descriptive study is the proportion of time an individual animal spends in each habitat type. The investigator now knows the animal’s location, but not why the animal used a particular habitat type or what it was doing while in that habitat.

A more informative approach would be to formulate one or more hypotheses and design a correlational study to determine whether the behavior of the monitored animals supports this hypothesis. For example, the instrumented animals have available three habitat types, a grass–forb community, a low shrub community, and a closed-canopy forest community. One possible hypothesis is that as the ambient air temperature increases, the ungulates select habitats with a vegetative structure that provides thermal cover (i.e., reduced temperatures). To test this hypothesis, the investigator monitors the microclimate temperatures in each of the habitat communities while simultaneously tracking the ungulates. Results of the study may support the hypothesis, in that the temperatures within the forest community were consistently lower than the temperatures in the grassland and shrub communities. In addition, as the temperatures rose in the nonforested communities, the animals tended to avoid these habitats and occupy the forested community. In this example, a correlation is developed between elevated air temperatures and use of the forest habitat type, providing the investigator with more information than a descriptive study. However, the investigator must be aware that in a correlational study, a relationship between two or more variables does not imply cause and effect. In other words, the data do not indicate that higher air temperatures caused the animals to move from the grassland and shrub communities to the forest community, although a correlation is present. Other factors not monitored during the study may have been responsible for the observed response. In our temperature–ungulate example, lack of harassment from parasitic insects, rather than air temperature, may cause the animal to use the forest habitat. Similarly, evidence that a habitat was selectively used (i.e., occupied in higher proportion than its availability) does not imply that the habitat is “critical” to the animal’s well-being.

Manipulative studies require that the system be perturbated. In order to conclusively demonstrate that a particular habitat type is needed to insure the welfare of a population, that habitat must be made unavailable to the population and the decline in the individual’s health and/or the fitness of the population demonstrated. Thus, the study design requires an experimental approach, with appropriate manipulations (treatments), controls, and replicates. One experimental approach to the ungulate habitat example would be to monitor microclimate temperature in each of the three habitats on four study areas while simultaneously tracking instrumented animals. After the preliminary data are collected, showing a correlation between increased air temperatures and use of the forest habitat, two of the study areas are randomly selected for treatment. Ideally, the treatment should only involve altering the variable of interest, in this case, artificially increasing the air temperature within the forest habitat. A more practical treatment, however, may be removal of the forest canopy. Data on air temperature and habitat use would again be collected on all four areas and results compared between times for each study area and between the treatment and control areas. If the data from the controls were similar between monitoring periods, there were no effects due to time, and any changes in the treatments could be attributed to the perturbation.

The above example is an over-simplification, but it illustrates the importance of manipulative studies. While descriptive and correlational studies may provide insights into why animals behave in a particular manner, manipulative experiments, including both time and geographic controls, are needed to obtain conclusive results about why animals behave as they do.

Consider another, even simpler, example of the importance of experimental manipulations as opposed to correlational studies. You are watching television, when the screen begins to scroll. Two possible explanations (hypotheses) are: (1) your television failed or (2) the broadcasting station failed. How do you decide which of these hypotheses is incorrect? Without hesitating, you switch channels, performing the manipulative experiment to distinguish between the two possible hypotheses. Without the manipulation of changing channels, you have no information to decide between the two explanations. Even in everyday life, we use experimental manipulations to collect...

Produkt-Details

• Erscheint lt. Verlag: 2.12.2012
• Sprache: englisch
• Themenwelt: Sachbuch/Ratgeber ► Natur / Technik ► Naturführer
• Themenwelt: Naturwissenschaften ► Biologie ► Ökologie / Naturschutz
• Themenwelt: Naturwissenschaften ► Biologie ► Zoologie
• Themenwelt: Technik
• Themenwelt: Weitere Fachgebiete ► Land- / Forstwirtschaft / Fischerei
• ISBN-10: 0-08-092657-6 / 0080926576
• ISBN-13: 978-0-08-092657-5 / 9780080926575