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: 418
Methods for estimating dispersal probabilities and related parameters using marked animals Methods for estimating dispersal probabilities and related parameters using marked animals
Deriving valid inferences about the causes and consequences of dispersal from empirical studies depends largely on our ability reliably to estimate parameters associated with dispersal. Here, we present a review of the methods available for estimating dispersal and related parameters using marked individuals. We emphasize methods that place dispersal in a probabilistic framework. In this
Authors
R.E. Bennetts, J.D. Nichols, R. Pradel, J.D. Lebreton, W.M. Kitchens
Inferences about nested subsets structure when not all species are detected Inferences about nested subsets structure when not all species are detected
Comparisons of species composition among ecological communities of different size have often provided evidence that the species in communities with lower species richness form nested subsets of the species in larger communities. In the vast majority of studies, the question of nested subsets has been addressed using information on presence-absence, where a '0' is interpreted as the...
Authors
E. Cam, J.D. Nichols, J.E. Hines, J.R. Sauer
Ecological status and conservation of tigers in India. Final Technical Report (February 1995 to January 2000) Ecological status and conservation of tigers in India. Final Technical Report (February 1995 to January 2000)
No abstract available.
Authors
K. U. Karanth, J.D. Nichols
Monitoring is not enough: on the need for a model-based approach to migratory bird management Monitoring is not enough: on the need for a model-based approach to migratory bird management
Informed management requires information about system state and about effects of potential management actions on system state. Population monitoring can provide the needed information about system state, as well as information that can be used to investigate effects of management actions. Three methods for investigating effects of management on bird populations are (1) retrospective...
Authors
J.D. Nichols
The role of population monitoring in the management of North American waterfowl The role of population monitoring in the management of North American waterfowl
Despite the effort and expense devoted to large-scale monitoring programs, few existing programs have been designed with specific objectives in mind and few permit strong inferences about the dynamics of monitored systems. The waterfowl population monitoring programs of the U.S. Fish and Wildlife Service, Canadian Wildlife Service and state and provincial agencies provide a nice example...
Authors
J.D. Nichols, B. Kenneth Williams, Fred A. Johnson
A removal model for estimating detection probabilities from point-count surveys A removal model for estimating detection probabilities from point-count surveys
We adapted a removal model to estimate detection probability during point count surveys. The model assumes one factor influencing detection during point counts is the singing frequency of birds. This may be true for surveys recording forest songbirds when most detections are by sound. The model requires counts to be divided into several time intervals. We used time intervals of 2, 5, and...
Authors
G.L. Farnsworth, K. H. Pollock, J.D. Nichols, T.R. Simons, J.E. Hines, J.R. Sauer
Science and Products
Filter Total Items: 418
Methods for estimating dispersal probabilities and related parameters using marked animals Methods for estimating dispersal probabilities and related parameters using marked animals
Deriving valid inferences about the causes and consequences of dispersal from empirical studies depends largely on our ability reliably to estimate parameters associated with dispersal. Here, we present a review of the methods available for estimating dispersal and related parameters using marked individuals. We emphasize methods that place dispersal in a probabilistic framework. In this
Authors
R.E. Bennetts, J.D. Nichols, R. Pradel, J.D. Lebreton, W.M. Kitchens
Inferences about nested subsets structure when not all species are detected Inferences about nested subsets structure when not all species are detected
Comparisons of species composition among ecological communities of different size have often provided evidence that the species in communities with lower species richness form nested subsets of the species in larger communities. In the vast majority of studies, the question of nested subsets has been addressed using information on presence-absence, where a '0' is interpreted as the...
Authors
E. Cam, J.D. Nichols, J.E. Hines, J.R. Sauer
Ecological status and conservation of tigers in India. Final Technical Report (February 1995 to January 2000) Ecological status and conservation of tigers in India. Final Technical Report (February 1995 to January 2000)
No abstract available.
Authors
K. U. Karanth, J.D. Nichols
Monitoring is not enough: on the need for a model-based approach to migratory bird management Monitoring is not enough: on the need for a model-based approach to migratory bird management
Informed management requires information about system state and about effects of potential management actions on system state. Population monitoring can provide the needed information about system state, as well as information that can be used to investigate effects of management actions. Three methods for investigating effects of management on bird populations are (1) retrospective...
Authors
J.D. Nichols
The role of population monitoring in the management of North American waterfowl The role of population monitoring in the management of North American waterfowl
Despite the effort and expense devoted to large-scale monitoring programs, few existing programs have been designed with specific objectives in mind and few permit strong inferences about the dynamics of monitored systems. The waterfowl population monitoring programs of the U.S. Fish and Wildlife Service, Canadian Wildlife Service and state and provincial agencies provide a nice example...
Authors
J.D. Nichols, B. Kenneth Williams, Fred A. Johnson
A removal model for estimating detection probabilities from point-count surveys A removal model for estimating detection probabilities from point-count surveys
We adapted a removal model to estimate detection probability during point count surveys. The model assumes one factor influencing detection during point counts is the singing frequency of birds. This may be true for surveys recording forest songbirds when most detections are by sound. The model requires counts to be divided into several time intervals. We used time intervals of 2, 5, and...
Authors
G.L. Farnsworth, K. H. Pollock, J.D. Nichols, T.R. Simons, J.E. Hines, J.R. Sauer