James Hines
Jim Hines is a computer scientist, working with USGS and non-agency biologists developing methods and computer software for estimation of ecological parameters. He also maintains a web-server used to communicate results of the North American Breeding Bird Survey as well as software written by current and former EESC scientists.
Jim Hines started with the USFWS in 1977 as a part-time computer clerk. After obtaining a BS in Math, he became a full-time computer programmer, then computer specialist and computer scientist. He is co-author on 2 books,
Professional Experience
1977-present USFWS, NBS, USGS - Computer clerk, programmer, specialist, scientist.
Education and Certifications
Hon Dsc. University of Florda, 2023
B.S. University of Maryland, Mathematics, 1979.
Honors and Awards
2016 - Biometrics Working Group Special Recognition Award
2015 - U.S. Geological Survey Distinguished Service Award
2012 - U.S. Geological Survey Meritorious Service Award
2012 - The Wildlife Society's Wildlife Publication Award for Book
1991 - The Wildlife Society's Wildlife Publication Award for Monograph
Science and Products
Estimating indices of range shifts in birds using dynamic models when detection is imperfect
The effects of habitat, climate, and Barred Owls on long-term demography of Northern Spotted Owls
Heterogeneous movement of insectivorous Amazonian birds through primary and secondary forest: A case study using multistate models with radiotelemetry data
Status assessment of the Endangered snow leopard Panthera uncia and other large mammals in the Kyrgyz Alay, using community knowledge corrected for imperfect detection
Age-specific survival of male golden-cheeked warblers on the Fort Hood Military Reservation, Texas
Multiseason occupancy models for correlated replicate surveys
fatalityCMR: capture-recapture software to correct raw counts of wildlife fatalities using trial experiments for carcass detection probability and persistence time
Testing metapopulation concepts: effects of patch characteristics and neighborhood occupancy on the dynamics of an endangered lagomorph
Band reporting probablilities of mallards, American black ducks, and wood ducks in eastern North America
Selecting among competing models of electro-optic, infrared camera system range performance
The roles of competition and habitat in the dynamics of populations and species distributions
Geographic variation in migration chronology and winter distribution of midcontinent greater white-fronted geese
SCATMAN
Tests the hypothesis of prey-selectivity based on random samples of predator scats.
ESTIMATE
Estimates fatalities using raw counts of wildlife fatalities, trial experiments for carcass detection probability and persistence time.
BAND2: A Computer Program for Sample Size Computations for Banding Studies
Computes the number of animals that must be banded in order to achieve a specified level of precision for survival rates estimated using band recovery models.
POWER
Computes the power of between-model likelihood ratio tests.
MULT
Computes estimates of survival and temporary emigration under the "Open Robust Design".
RELEASE
Computes estimates of survival and capture probability for capture-recapture experiments on open animal populations.
CAPTURE
Computes estimates of capture probability and population size for "closed" population capture-recapture data.
SURVIV
Computes estimates of survival (or any model parameter) with multinomially distributed data.
MAYFIELD
Computes estimates of daily survival rate for nest visitation data.
CAPQUOTA
Computes expected coefficients of variation of survival and capture probability for use in the design of capture-recapture-resighting experiments.
SPECRICH
Computes "species richness" or total number of species from emperical species abundance distribution data.
Science and Products
- Science
- Data
- Publications
Filter Total Items: 223
Estimating indices of range shifts in birds using dynamic models when detection is imperfect
There is intense interest in basic and applied ecology about the effect of global change on current and future species distributions. Projections based on widely used static modeling methods implicitly assume that species are in equilibrium with the environment and that detection during surveys is perfect. We used multiseason correlated detection occupancy models, which avoid these assumptions, toAuthorsMatthew J. Clement, James E. Hines, James D. Nichols, Keith L. Pardieck, David J. ZiolkowskiThe effects of habitat, climate, and Barred Owls on long-term demography of Northern Spotted Owls
Estimates of species' vital rates and an understanding of the factors affecting those parameters over time and space can provide crucial information for management and conservation. We used mark–recapture, reproductive output, and territory occupancy data collected during 1985–2013 to evaluate population processes of Northern Spotted Owls (Strix occidentalis caurina) in 11 study areas in WashingtoAuthorsKatie Dugger, Eric D. Forsman, Alan B. Franklin, Raymond J. Davis, Gary C. White, Carl J. Schwarz, Kenneth P. Burnham, James D. Nichols, James E. Hines, Charles B. Yackulic, Paul F. Doherty, Larissa Bailey, Darren A. Clark, Steven H. Ackers, Lawrence S. Andrews, Benjamin Augustine, Brian L. Biswell, Jennifer Blakesley, Peter C. Carlson, Matthew J. Clement, Lowell V. Diller, Elizabeth M. Glenn, Adam Green, Scott A. Gremel, Dale R. Herter, J. Mark Higley, Jeremy Hobson, Rob B. Horn, Kathryn P. Huyvaert, Christopher McCafferty, Trent McDonald, Kevin McDonnell, Gail S. Olson, Janice A. Reid, Jeremy Rockweit, Viviana Ruiz, Jessica Saenz, Stan G. SovernHeterogeneous movement of insectivorous Amazonian birds through primary and secondary forest: A case study using multistate models with radiotelemetry data
Given rates of deforestation, disturbance, and secondary forest accumulation in tropical rainforests, there is a great need to quantify habitat use and movement among different habitats. This need is particularly pronounced for animals most sensitive to disturbance, such as insectivorous understory birds. Here we use multistate capture–recapture models with radiotelemetry data to determine the sucAuthorsJames E. Hines, Luke L. Powell, Jared D. Wolfe, Erik l. Johnson, James D. Nichols, Phillip C. StoufferStatus assessment of the Endangered snow leopard Panthera uncia and other large mammals in the Kyrgyz Alay, using community knowledge corrected for imperfect detection
The Endangered snow leopard Panthera uncia occurs in the Central Asian Mountains, which cover c. 2 million km2. Little is known about its status in the Kyrgyz Alay Mountains, a relatively narrow stretch of habitat connecting the southern and northern global ranges of the species. In 2010 we gathered information on current and past (1990, the last year of the Soviet Union) distributions of snow leoAuthorsJulia Taubmann, Koustubh Sharma, Kubanychbek Zhumabai Uulu, James E. Hines, Charudutt MishraAge-specific survival of male golden-cheeked warblers on the Fort Hood Military Reservation, Texas
Population models are essential components of large-scale conservation and management plans for the federally endangered Golden-cheeked Warbler (Setophaga chrysoparia; hereafter GCWA). However, existing models are based on vital rate estimates calculated using relatively small data sets that are now more than a decade old. We estimated more current, precise adult and juvenile apparent survival (Φ)AuthorsAdam Duarte, James E. Hines, James D. Nichols, Jeffrey S. Hatfield, Floyd W. WeckerlyMultiseason occupancy models for correlated replicate surveys
Occupancy surveys collecting data from adjacent (sometimes correlated) spatial replicates have become relatively popular for logistical reasons. Hines et al. (2010) presented one approach to modelling such data for single-season occupancy surveys. Here, we present a multiseason analogue of this model (with corresponding software) for inferences about occupancy dynamics. We include a new parametAuthorsJames E. Hines, James D. Nichols, Jaime CollazofatalityCMR: capture-recapture software to correct raw counts of wildlife fatalities using trial experiments for carcass detection probability and persistence time
Many industrial and agricultural activities involve wildlife fatalities by collision, poisoning or other involuntary harvest: wind turbines, highway network, utility network, tall structures, pesticides, etc. Impacted wildlife may benefit from official protection, including the requirement to monitor the impact. Carcass counts can often be conducted to quantify the number of fatalities, but they nAuthorsGuillaume Peron, James E. HinesTesting metapopulation concepts: effects of patch characteristics and neighborhood occupancy on the dynamics of an endangered lagomorph
Metapopulation ecology is a field that is richer in theory than in empirical results. Many existing empirical studies use an incidence function approach based on spatial patterns and key assumptions about extinction and colonization rates. Here we recast these assumptions as hypotheses to be tested using 18 years of historic detection survey data combined with four years of data from a new monitorAuthorsMitchell J. Eaton, Phillip T. Hughes, James E. Hines, James D. NicholsBand reporting probablilities of mallards, American black ducks, and wood ducks in eastern North America
Estimates of band reporting probabilities are used for managing North American waterfowl to convert band recovery probabilities into harvest probabilities, which are used to set harvest regulations. Band reporting probability is the probability that someone who has shot and retrieved a banded bird will report the band. This probability can vary relative to a number of factors, particularly the insAuthorsPamela R. Garrettson, Robert V. Raftovich, James E. Hines, Guthrie S. ZimmermanSelecting among competing models of electro-optic, infrared camera system range performance
Range performance is often the key requirement around which electro-optical and infrared camera systems are designed. This work presents an objective framework for evaluating competing range performance models. Model selection based on the Akaike’s Information Criterion (AIC) is presented for the type of data collected during a typical human observer and target identification experiment. These metAuthorsJonathan M. Nichols, James E. Hines, James D. NicholsThe roles of competition and habitat in the dynamics of populations and species distributions
The role of competition in structuring biotic communities at fine spatial scales is well known from detailed process-based studies. Our understanding of competition's importance at broader scales is less resolved and mainly based on static species distribution maps. Here, we bridge this gap by examining the joint occupancy dynamics of an invading (barred owl: Strix varia) and a resident species (NAuthorsCharles Brandon Yackulic, Janice Reid, James D. Nichols, James E. Hines, Raymond Davis, Eric ForsmanGeographic variation in migration chronology and winter distribution of midcontinent greater white-fronted geese
We evaluated spatial and temporal differences in migratory behavior among different breeding groups of midcontinent greater white-fronted geese (Anser albifrons) using band-recovery data and observations of neck collared geese during migration and winter. Birds from different breeding areas were initially delineated by geographic distance into 6 banding reference areas (BRAs): 1) interior Alaska,AuthorsCraig R. Ely, Daniel J. Nieman, Ray T. Alisauskas, Joel A. Schmutz, James E. Hines - Web Tools
- Software
Filter Total Items: 35
SCATMAN
Tests the hypothesis of prey-selectivity based on random samples of predator scats.
ESTIMATE
Estimates fatalities using raw counts of wildlife fatalities, trial experiments for carcass detection probability and persistence time.
BAND2: A Computer Program for Sample Size Computations for Banding Studies
Computes the number of animals that must be banded in order to achieve a specified level of precision for survival rates estimated using band recovery models.
POWER
Computes the power of between-model likelihood ratio tests.
MULT
Computes estimates of survival and temporary emigration under the "Open Robust Design".
RELEASE
Computes estimates of survival and capture probability for capture-recapture experiments on open animal populations.
CAPTURE
Computes estimates of capture probability and population size for "closed" population capture-recapture data.
SURVIV
Computes estimates of survival (or any model parameter) with multinomially distributed data.
MAYFIELD
Computes estimates of daily survival rate for nest visitation data.
CAPQUOTA
Computes expected coefficients of variation of survival and capture probability for use in the design of capture-recapture-resighting experiments.
SPECRICH
Computes "species richness" or total number of species from emperical species abundance distribution data.
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