Daniel B Fitzgerald (Former Employee)
Science and Products
Multispecies approaches to status assessments in support of endangered species classifications
Multispecies risk assessments have developed within many international conservation programs, reflecting a widespread need for efficiency. Under the United States Endangered Species Act (ESA), multispecies assessments ultimately lead to species-level listing decisions. Although this approach provides opportunities for improved efficiency, it also risks overwhelming or biasing the assessment proces
Authors
Daniel Bruce Fitzgerald, Mary Freeman, Kelly O. Maloney, John A. Young, Amanda E. Rosenberger, David C. Kazyak, David R. Smith
How do lizard niches conserve, diverge or converge? Further exploration of saurian evolutionary ecology
Environmental conditions on Earth are repeated in non-random patterns that often coincide with species from different regions and time periods having consistent combinations of morphological, physiological and behavioral traits. Observation of repeated trait combinations among species confronting similar environmental conditions suggest that adaptive trait combinations are constrained by functiona
Authors
Nicolás Pelegrin, Kirk O. Winemiller, Laurie J. Vitt, Daniel Bruce Fitzgerald, Eric R. Pianka
Using expert knowledge to support Endangered Species Act decision‐making for data‐deficient species
Many questions relevant to conservation decision making are characterized by extreme uncertainty due to lack of empirical data and complexity of the underlying ecological processes, leading to a rapid increase in the use of structured protocols to elicit expert knowledge. Published ecological applications often employ a modified Delphi method, where experts provide judgments anonymously and mathem
Authors
Daniel Bruce Fitzgerald, David R. Smith, David C. Culver, Daniel Feller, Daniel W. Fong, Jeff Hajenga, Matthew L. Niemiller, Daniel C. Nolfi, Wil D. Orndorff, Barbara Douglas, Kelly O. Maloney, John A. Young
Genetic and morphological characterization of the freshwater mussel clubshell species complex (Pleurobema clava and Pleurobema oviforme) to inform conservation planning
The shell morphologies of the freshwater mussel species Pleurobema clava (federally endangered) and Pleurobema oviforme (species of concern) are similar, causing considerable taxonomic confusion between the two species over the last 100 years. While P. clava was historically widespread throughout the Ohio River basin and tributaries to the lower Laurentian Great Lakes, P. oviforme was confined to
Authors
Cheryl Morrison, Nathan A. Johnson, Jess W Jones, Michael S. Eackles, Aaron Aunins, Daniel Bruce Fitzgerald, Eric M. Hallerman, Timothy L. King
A Bayesian framework for assessing extinction risk based on ordinal categories of population condition and projected landscape change
Many at-risk species lack standardized surveys across their range or quantitative data capable of detecting demographic trends. As a result, extinction risk assessments often rely on ordinal categories of risk based on explicit criteria or expert elicitation. This study demonstrates a Bayesian approach to assessing extinction risk based on this common data structure, using three freshwater mussel
Authors
Daniel Bruce Fitzgerald, Andrew R Henderson, Kelly O. Maloney, Mary Freeman, John A. Young, Amanda E. Rosenberger, David C. Kazyak, David R. Smith
Science and Products
Multispecies approaches to status assessments in support of endangered species classifications
Multispecies risk assessments have developed within many international conservation programs, reflecting a widespread need for efficiency. Under the United States Endangered Species Act (ESA), multispecies assessments ultimately lead to species-level listing decisions. Although this approach provides opportunities for improved efficiency, it also risks overwhelming or biasing the assessment proces
Authors
Daniel Bruce Fitzgerald, Mary Freeman, Kelly O. Maloney, John A. Young, Amanda E. Rosenberger, David C. Kazyak, David R. Smith
How do lizard niches conserve, diverge or converge? Further exploration of saurian evolutionary ecology
Environmental conditions on Earth are repeated in non-random patterns that often coincide with species from different regions and time periods having consistent combinations of morphological, physiological and behavioral traits. Observation of repeated trait combinations among species confronting similar environmental conditions suggest that adaptive trait combinations are constrained by functiona
Authors
Nicolás Pelegrin, Kirk O. Winemiller, Laurie J. Vitt, Daniel Bruce Fitzgerald, Eric R. Pianka
Using expert knowledge to support Endangered Species Act decision‐making for data‐deficient species
Many questions relevant to conservation decision making are characterized by extreme uncertainty due to lack of empirical data and complexity of the underlying ecological processes, leading to a rapid increase in the use of structured protocols to elicit expert knowledge. Published ecological applications often employ a modified Delphi method, where experts provide judgments anonymously and mathem
Authors
Daniel Bruce Fitzgerald, David R. Smith, David C. Culver, Daniel Feller, Daniel W. Fong, Jeff Hajenga, Matthew L. Niemiller, Daniel C. Nolfi, Wil D. Orndorff, Barbara Douglas, Kelly O. Maloney, John A. Young
Genetic and morphological characterization of the freshwater mussel clubshell species complex (Pleurobema clava and Pleurobema oviforme) to inform conservation planning
The shell morphologies of the freshwater mussel species Pleurobema clava (federally endangered) and Pleurobema oviforme (species of concern) are similar, causing considerable taxonomic confusion between the two species over the last 100 years. While P. clava was historically widespread throughout the Ohio River basin and tributaries to the lower Laurentian Great Lakes, P. oviforme was confined to
Authors
Cheryl Morrison, Nathan A. Johnson, Jess W Jones, Michael S. Eackles, Aaron Aunins, Daniel Bruce Fitzgerald, Eric M. Hallerman, Timothy L. King
A Bayesian framework for assessing extinction risk based on ordinal categories of population condition and projected landscape change
Many at-risk species lack standardized surveys across their range or quantitative data capable of detecting demographic trends. As a result, extinction risk assessments often rely on ordinal categories of risk based on explicit criteria or expert elicitation. This study demonstrates a Bayesian approach to assessing extinction risk based on this common data structure, using three freshwater mussel
Authors
Daniel Bruce Fitzgerald, Andrew R Henderson, Kelly O. Maloney, Mary Freeman, John A. Young, Amanda E. Rosenberger, David C. Kazyak, David R. Smith