Monitoring Animal Populations and Their Habitats: A Practitioner's Guide

摘要: Introduction Monitoring Resources of High Value as a Part Resource Planning in Response to Crisis Legal Challenges Adaptive Management An Example and Use Summary References Lessons Learned from Current Programs Federal Nongovernmental Organizations Initiatives Learning Citizen-Based Community-Based A Conflict Over Benefits Designing Implementing Program Suggestions for Scientists Goals Objectives Now Into the Future Targeted Versus Surveillance Incorporating Stakeholder Identifying Information Needs The Anatomy an Effective Objective Articulating Scales Population Data Collected Meet Which Species Should be Monitored? Intended Users Plans Plan Questions Answered Inventory, Monitoring, Research Are Already Available? Types Designs Beginning SummaryReferences Factors Consider When Existing Inform Sampling Design Cost Stratification Samples Peer Review Putting Work on Ground Creating Standardized Scheme Selection Sample Sites Logistics Biological Study Ethics Voucher Specimens Schedule Coordination Qualifications Personnel Unit Marking Monuments Documenting Field Critical Areas Standardization Budgets Techniques Estimation Requirements Spatial Extent Frequently Used Animals Life History Characteristics Effects Terrain Vegetation Merits Limitations Indices Compared Estimators Estimating Community Structure Protocol Budget Constraints Habitat Selecting Appropriate Scale Remotely Sensed Consistent Documentation Measurements Elements Methods Ground-Based Using Estimates Assess Availability Suitability Assessing Distribution Across Landscape Linking Inventory Satellite Imagery GIS Measuring Change Database Basics General Digital Databases Forms Storage Metadata Manager System: FAUNA Analysis Visualization I: Getting Know Your II: Model Possible Remedies if Parametric Assumptions Violated Statistical Abundance Counts Occurrences Trend Cause-and-Effect Paradigms Inference: Saying Something with Models Retrospective Power Reporting Format Report Uses Data: Synthesis, Risk Assessment, Decision Making Thresholds Trigger Points Forecasting Trends Predicting Patterns Space Time Synthesis Changing Approach Precautions Methodology Make Emerging Technologies New Conceptual Framework Appendix Scientific Names Mentioned Text Index