James Nichols, Ph.D.
Dr. Jim Nichols conducts research on animal population dynamics and management
Recent Accomplishments
Education
- B.S. Wake Forest University, Biology, 1971
- M.S. Louisiana State University, Wildlife Management, 1973
- Ph.D. Michigan State University, Wildlife Ecology, 1976
Professional Studies/Experience
- Adaptive management and assessment of habitat changes on migratory birds
- Development of models of mallard population dynamics for adaptive harvest management
- Development of methods to estimate parameters associated with animal population dynamics
- Statistical methods for species richness estimation
- Technical Assistance -Tiger Monitoring and Population Research
- Development of methods for estimating patch occupancy and patch-dynamic parameters from detection-nondetection survey data
- Development of methods to estimate species richness and community-dynamic parameters from species list data
Mentorship/Outreach
Professional societies/affiliations/committees/editorial boardsScientific/Oral Presentations, Abstracts
Honors, awards, recognition, elected offices
- 2005 - U.S. Presidential Rank Award (Meritorious Senior Professional)
- 2004 - U.S. Geological Survey Meritorious Service Award
- 2004 - IFAS Scholar Award, University of Florida
- 1998 - Promoted to Senior Scientist, U.S. Geological Survey
- 1991 - The George W. Snedecor Award of the American Statistical Association
- 1991 - The Wildlife Society's Wildlife Publication Award for Monograph
- 1984 - Southeastern Section of the Wildlife Society, Outstanding Publication Award
Scientific/Oral Presentations, Abstracts
Science and Products
Filter Total Items: 417
The need for accuracy in modelling: An example The need for accuracy in modelling: An example
The need for accurate information in modelling depends on the objectives of the effort. but trustworthy data are essential for a model intended for use in the management of natural resources. This point is illustrated by referring to a recently published model of canvasback ducks. We demonstrate that several key assumptions are not supported by biological evidence, and that inferences...
Authors
Douglas H. Johnson, M.J. Conroy, J.D. Nichols
Goodness-of-fit tests for open capture-recapture models Goodness-of-fit tests for open capture-recapture models
General goodness-of-fit tests for the Jolly-Seber model are proposed. These tests are based on conditional arguments using minimal sufficient statistics. The tests are shown to be of simple hypergeometric form so that a series of independent contingency table chi-square tests can be performed. The relationship of these tests to other proposed tests is discussed. This is followed by a
Authors
K. H. Pollock, J.E. Hines, J.D. Nichols
The need for accuracy in modelling: An example The need for accuracy in modelling: An example
The need for accurate information in modelling depends on the objectives of the effort, but trustworthy data are essential for a model intended for use in the management of natural resources. This point is illustrated by referring to a recently published model of canvasback ducks. We demonstrate that several key assumptions are not supported by biological evidence, and that inferences...
Authors
Douglas H. Johnson, Michael J. Conroy, James D. Nichols
On condition bias and band-recovery data from large-scale waterfowl banding programs On condition bias and band-recovery data from large-scale waterfowl banding programs
No abstract available.
Authors
K.P. Burnham, J.D. Nichols
Optimal timing in biological processes Optimal timing in biological processes
A general approach for obtaining solutions to a class of biological optimization problems is provided. The general problem is one of determining the appropriate time to take some action, when the action can be taken only once during some finite time frame. The approach can also be extended to cover a number of other problems involving animal choice (e.g., mate selection, habitat...
Authors
Byron K. Williams, James D. Nichols
The use of auxiliary variables in capture-recapture and removal experiments The use of auxiliary variables in capture-recapture and removal experiments
The dependence of animal capture probabilities on auxiliary variables is an important practical problem which has not been considered in the development of estimation procedures for capture-recapture and removal experiments. In this paper the linear logistic binary regression model is used to relate the probability of capture to continuous auxiliary variables. The auxiliary variables...
Authors
K. H. Pollock, J.E. Hines, J.D. Nichols
Science and Products
Filter Total Items: 417
The need for accuracy in modelling: An example The need for accuracy in modelling: An example
The need for accurate information in modelling depends on the objectives of the effort. but trustworthy data are essential for a model intended for use in the management of natural resources. This point is illustrated by referring to a recently published model of canvasback ducks. We demonstrate that several key assumptions are not supported by biological evidence, and that inferences...
Authors
Douglas H. Johnson, M.J. Conroy, J.D. Nichols
Goodness-of-fit tests for open capture-recapture models Goodness-of-fit tests for open capture-recapture models
General goodness-of-fit tests for the Jolly-Seber model are proposed. These tests are based on conditional arguments using minimal sufficient statistics. The tests are shown to be of simple hypergeometric form so that a series of independent contingency table chi-square tests can be performed. The relationship of these tests to other proposed tests is discussed. This is followed by a
Authors
K. H. Pollock, J.E. Hines, J.D. Nichols
The need for accuracy in modelling: An example The need for accuracy in modelling: An example
The need for accurate information in modelling depends on the objectives of the effort, but trustworthy data are essential for a model intended for use in the management of natural resources. This point is illustrated by referring to a recently published model of canvasback ducks. We demonstrate that several key assumptions are not supported by biological evidence, and that inferences...
Authors
Douglas H. Johnson, Michael J. Conroy, James D. Nichols
On condition bias and band-recovery data from large-scale waterfowl banding programs On condition bias and band-recovery data from large-scale waterfowl banding programs
No abstract available.
Authors
K.P. Burnham, J.D. Nichols
Optimal timing in biological processes Optimal timing in biological processes
A general approach for obtaining solutions to a class of biological optimization problems is provided. The general problem is one of determining the appropriate time to take some action, when the action can be taken only once during some finite time frame. The approach can also be extended to cover a number of other problems involving animal choice (e.g., mate selection, habitat...
Authors
Byron K. Williams, James D. Nichols
The use of auxiliary variables in capture-recapture and removal experiments The use of auxiliary variables in capture-recapture and removal experiments
The dependence of animal capture probabilities on auxiliary variables is an important practical problem which has not been considered in the development of estimation procedures for capture-recapture and removal experiments. In this paper the linear logistic binary regression model is used to relate the probability of capture to continuous auxiliary variables. The auxiliary variables...
Authors
K. H. Pollock, J.E. Hines, J.D. Nichols