David R Smith, Ph.D.
Dave is a Research Statistician (Biology) at the Eastern Ecological Science Center in Kearneysville, WV.
Dave Smith graduated from Colorado State (MS in Fish and Wildlife Biology) and University of Georgia (MS in Statistics and PhD in Forest Resources). Currently, he is a biological statistician at the USGS Leetown Science Center where he focuses on applied quantitative ecology in support of natural resource management and environmental decision making.
His research activities mostly focus on the following topics:
- Adaptive sampling of rare and clustered populations
- Conservation and science of horseshoe crabs in North America and Asia
- Conservation of freshwater mussels
- Application of structured decision making and adaptive management to natural resource management
Science and Products
Filter Total Items: 118
Addressing disease risk to develop a health program for bighorn sheep in Montana Addressing disease risk to develop a health program for bighorn sheep in Montana
No abstract available.
Authors
Sarah N. Sells, Michael S. Mitchell, Justin A. Gude
Introduction to multi-criteria decision analysis Introduction to multi-criteria decision analysis
No abstract available.
Authors
Sarah J. Converse
Introduction to prediction and the value of information Introduction to prediction and the value of information
Predicting the consequences of alternative actions in terms of the objectives is central to decision making. Modeling in the broadest sense, from simple to complex and based on data or expert judgment, comprises the essential toolkit for making decision-relevant predictions. Gaps in knowledge and the resulting uncertainty can make predictive modeling challenging. Gathering information to
Authors
David R. Smith
Introduction to structuring decisions Introduction to structuring decisions
Decision structuring, also known as decision framing, provides the foundation and roadmap for analyzing a decision. For decisions that warrant a systematic approach, structuring begins with identifying the problem for analysis, which sounds simple but can be deceptively difficult because decision problems are often ill-formed at the start. Many have worked on a problem, alone or with...
Authors
David R. Smith
Strategic conservation of an imperiled freshwater mussel, the Dwarf Wedgemussel, in North Carolina Strategic conservation of an imperiled freshwater mussel, the Dwarf Wedgemussel, in North Carolina
To be effective, managers of imperiled species must face the unavoidable tradeoff between conservation benefits and constrained budgets and must not be paralyzed by scientific uncertainty. Decision analysis can help meet these challenges when used to develop cost-effective strategies to recover or improve the status of species. The U.S. Fish and Wildlife Service, along with state...
Authors
David R. Smith, Sarah E McCrae
Reserve network design for prairie-dependent taxa in South Puget Sound Reserve network design for prairie-dependent taxa in South Puget Sound
Conserving species requires managing threats, including habitat loss. One approach to managing habitat loss is to identify and protect habitat in networks of reserves. Reserve network design is a type of resource allocation problem: how can we choose the most effective reserve network design given available resources? We undertook development and implementation of a patch dynamics model...
Authors
Sarah J. Converse, Beth Gardner, Steve Morey
Science and Products
Filter Total Items: 118
Addressing disease risk to develop a health program for bighorn sheep in Montana Addressing disease risk to develop a health program for bighorn sheep in Montana
No abstract available.
Authors
Sarah N. Sells, Michael S. Mitchell, Justin A. Gude
Introduction to multi-criteria decision analysis Introduction to multi-criteria decision analysis
No abstract available.
Authors
Sarah J. Converse
Introduction to prediction and the value of information Introduction to prediction and the value of information
Predicting the consequences of alternative actions in terms of the objectives is central to decision making. Modeling in the broadest sense, from simple to complex and based on data or expert judgment, comprises the essential toolkit for making decision-relevant predictions. Gaps in knowledge and the resulting uncertainty can make predictive modeling challenging. Gathering information to
Authors
David R. Smith
Introduction to structuring decisions Introduction to structuring decisions
Decision structuring, also known as decision framing, provides the foundation and roadmap for analyzing a decision. For decisions that warrant a systematic approach, structuring begins with identifying the problem for analysis, which sounds simple but can be deceptively difficult because decision problems are often ill-formed at the start. Many have worked on a problem, alone or with...
Authors
David R. Smith
Strategic conservation of an imperiled freshwater mussel, the Dwarf Wedgemussel, in North Carolina Strategic conservation of an imperiled freshwater mussel, the Dwarf Wedgemussel, in North Carolina
To be effective, managers of imperiled species must face the unavoidable tradeoff between conservation benefits and constrained budgets and must not be paralyzed by scientific uncertainty. Decision analysis can help meet these challenges when used to develop cost-effective strategies to recover or improve the status of species. The U.S. Fish and Wildlife Service, along with state...
Authors
David R. Smith, Sarah E McCrae
Reserve network design for prairie-dependent taxa in South Puget Sound Reserve network design for prairie-dependent taxa in South Puget Sound
Conserving species requires managing threats, including habitat loss. One approach to managing habitat loss is to identify and protect habitat in networks of reserves. Reserve network design is a type of resource allocation problem: how can we choose the most effective reserve network design given available resources? We undertook development and implementation of a patch dynamics model...
Authors
Sarah J. Converse, Beth Gardner, Steve Morey