Works (31)

Updated: July 19th, 2023 21:17

2017 journal article

Quantifying mammal biodiversity co-benefits in certified tropical forests

DIVERSITY AND DISTRIBUTIONS, 23(3), 317–328.

By: R. Sollmann n, A. Mohamed*, J. Niedballa*, J. Bender*, L. Ambu*, P. Lagan*, S. Mannan*, R. Ong* ...

author keywords: Borneo; carbon payment; community occupancy model; forest stewardship council; REDD; Southeast Asia; sustainable forestry
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2016 journal article

Factors Affecting Occupancy and Abundance of American Alligators at the Northern Extent of Their Range

JOURNAL OF HERPETOLOGY, 50(4), 541–547.

By: B. Gardner*, L. Garner*, D. Cobb* & C. Moorman*

TL;DR: Assessment of the distribution of alligators in North Carolina using a site-occupancy design and a repeated sampling design for population estimation showed that both occupancy and abundance decreased in more northern sites, in sites with higher salinity, and in sites that were generally more westward. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
14. Life Below Water (Web of Science; OpenAlex)
15. Life on Land (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2016 journal article

Predicting the offshore distribution and abundance of marine birds with a hierarchical community distance sampling model

ECOLOGICAL APPLICATIONS, 26(6), 1797–1815.

By: H. Goyert n, B. Gardner n, R. Sollmann n, R. Veit*, A. Gilbert*, E. Connelly*, K. Williams*

author keywords: Bayesian; marine spatial planning; multi-species models; offshore wind energy development; seabird conservation; foraging ecology
MeSH headings : Animal Distribution; Animals; Charadriiformes / physiology; Conservation of Natural Resources; Models, Biological; Population Density
TL;DR: The results show the importance of quantifying detection and determining the ecological drivers of a community's distribution and abundance, within and among species, for evaluating the potential exposure of marine birds to offshore development. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
14. Life Below Water (Web of Science)
15. Life on Land (Web of Science)
Source: Web Of Science
Added: August 6, 2018

2015 journal article

A hierarchical distance sampling model to estimate abundance and covariate associations of species and communities

METHODS IN ECOLOGY AND EVOLUTION, 7(5), 529–537.

author keywords: Bayesian P-value; cluster size; hierarchical model; seabirds; sparse data; wildlife surveys
TL;DR: The HDS model allowed us to make inference about ecology of species communities, including rarely observed species, which is particularly important in conservation and management, and holds great potential to improve inference on species communities that can be surveyed with distance sampling. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2015 journal article

Estimating Population Size for Capercaillie (Tetrao urogallus L.) with Spatial Capture-Recapture Models Based on Genotypes from One Field Sample

PLOS ONE, 10(6).

By: P. Mollet*, M. Kery*, B. Gardner n, G. Pasinelli* & J. Royle*

MeSH headings : Animals; Female; Galliformes / genetics; Genotype; Male; Models, Theoretical; Population Density; Switzerland
TL;DR: A subsampling simulation study indicated that a reduced sampling effort representing 75% of the actual detections would still yield practically acceptable estimates of total size and sex ratio in the population of an endangered and cryptic forest grouse. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2015 journal article

Investigating the effects of forest structure on the small mammal community in frequent-fire coniferous forests using capture-recapture models for stratified populations

MAMMALIAN BIOLOGY, 80(4), 247–254.

By: R. Sollmann n, A. White*, B. Gardner n & P. Manley*

author keywords: Abundance; Distribution; Disturbance regime; Live trapping; Forest management
TL;DR: It is suggested that it is important to understand the disturbance regimes when investigating habitat requirements, coexistence and evolutionary ecology of small mammal species, as these patterns could arise if suitable habitat is monopolized by socially dominant individuals. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2015 journal article

Key seabird areas in southern New England identified using a community occupancy model

MARINE ECOLOGY PROGRESS SERIES, 533, 277–290.

By: N. Flanders, B. Gardner*, K. Winiarski, P. Paton, T. Allison & . Allan F. O'Connell

author keywords: Aerial strip-transect survey; Community occupancy model; Imperfect detection; Seabird habitat relationships; Species distribution models
TL;DR: Community occupancy models are applied to detection/non-detection data collected from repeated aerial striptransect surveys conducted in 2 large study plots off southern New England, USA to provide new information on detection of species, areas of use, and relationships with environmental variables that will be valuable for biologists and planners interested in seabird conservation in the region. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
14. Life Below Water (Web of Science; OpenAlex)
15. Life on Land (Web of Science)
Source: Web Of Science
Added: August 6, 2018

2015 journal article

Point-count methods to monitor butterfly populations when traditional methods fail: a case study with Miami blue butterfly

JOURNAL OF INSECT CONSERVATION, 19(3), 519–529.

author keywords: Conservation; Distance sampling; Subtropics; Endangered species
TL;DR: A novel use of point transect distance sampling is presented to monitor the Miami blue, a highly endangered butterfly that occupies dense shrub habitat, and the determinants of adult flight phenology are identified to target monitoring efforts during periods of high adult abundance. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2015 journal article

Repeated count surveys help standardize multi-agency estimates of American Oystercatcher (Haematopus palliatus) abundance

The Condor, 117(3), 354–363.

By: N. Hostetter n, B. Gardner n, S. Schweitzer*, R. Boettcher*, A. Wilke*, L. Addison*, W. Swilling, K. Pollock n, T. Simons n

author keywords: American Oystercatcher; detection probability; Haematopus palliatus; population size; N-mixture models
TL;DR: The results indicate that standardized replicated count surveys coordinated across multiple agencies and conducted during a relatively short time window (closure assumption) provide tremendous potential to meet both agency-level and regional-level objectives in large-scale shorebird monitoring programs. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
14. Life Below Water (Web of Science; OpenAlex)
15. Life on Land (Web of Science)
Sources: Web Of Science, Crossref, NC State University Libraries
Added: August 6, 2018

2015 journal article

Using Fecal DNA and Spatial Capture-Recapture to Characterize a Recent Coyote Colonization

NORTHEASTERN NATURALIST, 22(1), 144–162.

By: C. Bozarth*, B. Gardner*, L. Rockwood* & J. Maldonado*

TL;DR: This study incorporates a new class of models on individual animals identified by genotype data derived from fecal DNA and demonstrates the utility of these models in surveying elusive animals. (via Semantic Scholar)
UN Sustainable Development Goal Categories
14. Life Below Water (OpenAlex)
15. Life on Land (Web of Science)
Source: Web Of Science
Added: August 6, 2018

2014 journal article

A spatial capture-recapture model for territorial species

Environmetrics, 25(8), 630–637.

By: B. Reich n & B. Gardner n

TL;DR: A new statistical model is proposed, which allows for dependence between locations to account for avoidance or territorial behavior and it is shown via a simulation study that accounting for this can improve population size estimates. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

2014 journal article

An open-population hierarchical distance sampling model

ECOLOGY, 96(2), 325–331.

author keywords: Aphelocoma insularis; demography; distance sampling; Island Scrub-Jay; Markov model; population trend estimation; power analysis; Santa Cruz Island; California; USA; temporal autocorrelation
MeSH headings : Animals; Birds / physiology; Computer Simulation; Environmental Monitoring / methods; Models, Biological; Population Dynamics; Sample Size
TL;DR: A model that uses temporal correlation in abundance arising from underlying population dynamics to estimate demographic parameters from repeated distance sampling surveys and can be widely adopted for wildlife population monitoring is developed. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2014 journal article

Estimating Upper Bounds for Occupancy and Number of Manatees in Areas Potentially Affected by Oil from the Deepwater Horizon Oil Spill

PLOS ONE, 9(3).

By: J. Martin*, H. Edwards*, F. Bled*, C. Fonnesbeck*, J. Dupuis*, B. Gardner n, S. Koslovsky*, A. Aven* ...

MeSH headings : Alabama; Animals; Ecosystem; Environmental Monitoring; Florida; Geography; Mississippi; Petroleum Pollution; Surveys and Questionnaires; Trichechus / physiology
TL;DR: An innovative modeling approach was applied to obtain upper estimates for occupancy and for number of manatees in areas potentially affected by the Deepwater Horizon oil spill to illustrate that it is possible to derive estimates of occupancy rate and upper estimates of the number ofManatees present at the time of sampling, even when no manatee were observed in sampled plots during surveys. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
14. Life Below Water (OpenAlex)
15. Life on Land (Web of Science)
Source: Web Of Science
Added: August 6, 2018

2014 journal article

Trap Array Configuration Influences Estimates and Precision of Black Bear Density and Abundance

PLOS ONE, 9(10).

By: C. Wilton*, E. Puckett*, J. Beringer*, B. Gardner n, L. Eggert* & J. Belant*

MeSH headings : Animals; Computer Simulation; DNA / chemistry; Female; Genetics, Population; Genotype; Geography; Hair; Likelihood Functions; Male; Microsatellite Repeats; Missouri; Population Density; Population Dynamics; Ursidae / physiology
TL;DR: Results demonstrated that in low density populations with non-uniform distribution of population density, optimizing the tradeoff among snare spacing, coverage, and sample size is of critical importance to estimating parameters with high precision and accuracy. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2014 journal article

Use of Multispecies Occupancy Models to Evaluate the Response of Bird Communities to Forest Degradation Associated with Logging

CONSERVATION BIOLOGY, 28(4), 1034–1044.

By: E. Carrillo-Rubio*, M. Kery*, S. Morreale*, P. Sullivan*, B. Gardner n, E. Cooch*, J. Lassoie*

author keywords: Chihuahua; community analysis; Cumbres de Majalca National Park; forest management; occupancy models; Sierra Tarahumara; species richness estimation
MeSH headings : Animals; Bayes Theorem; Biodiversity; Birds / physiology; Conservation of Natural Resources; Forestry; Mexico; Models, Theoretical; Population Density; Population Dynamics
TL;DR: This work compared bird community composition and size in managed and unmanaged forests in the Sierra Tarahumara region, Mexico, using multispecies occupancy models and data from a 2-year breeding bird survey to assess the influence of management and degradation on biodiversity and system state in areas subject to rapid environmental change. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2013 journal article

A spatial capture-recapture model to estimate fish survival and location from linear continuous monitoring arrays

CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES, 71(1), 120–130.

By: J. Raabe n, B. Gardner n & J. Hightower n

TL;DR: A spatially explicit version of the Cormack–Jolly–Seber model, analyzed using a Bayesian framework, correlates movement between periods and can incorporate environmental or other covariates. (via Semantic Scholar)
UN Sustainable Development Goal Categories
14. Life Below Water (OpenAlex)
15. Life on Land (Web of Science)
Source: Web Of Science
Added: August 6, 2018

2013 journal article

Empirical move-on rules to inform fishing strategies: a New England case study

FISH AND FISHERIES, 15(3), 359–375.

By: D. Dunn*, A. Boustany*, J. Roberts*, E. Brazer, M. Sanderson, B. Gardner n, P. Halpin*

author keywords: Choke species; discards; move-on rules; New England multispecies fishery; real-time closures; spatiotemporal autocorrelation
UN Sustainable Development Goal Categories
14. Life Below Water (Web of Science; OpenAlex)
15. Life on Land (Web of Science)
Source: Web Of Science
Added: August 6, 2018

2013 journal article

Evaluating Methodological Assumptions of Catch-Curve Survival Estimation for Unmarked Precocial Shorebird Chicks

WATERBIRDS, 36(1), 82–87.

By: C. McGowan* & B. Gardner n

author keywords: Charadrius melodus; daily survival estimates; fecundity; Piping Plovers; precocial shorebirds; simulation study; validating assumptions
TL;DR: A simulation model was developed to mimic Piping Plovers, a fairly representative shorebird, and age-based count-data collection and the daily survival estimates calculated from the simulated data corresponded well with true survival rates of the simulation. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
14. Life Below Water (Web of Science; OpenAlex)
15. Life on Land (Web of Science)
Source: Web Of Science
Added: August 6, 2018

2013 journal article

Explaining Local-Scale Species Distributions: Relative Contributions of Spatial Autocorrelation and Landscape Heterogeneity for an Avian Assemblage

PLOS ONE, 8(2).

By: B. Mattsson*, E. Zipkin*, B. Gardner n, P. Blank*, J. Sauer* & J. Royle*

MeSH headings : Animals; Birds; Ecology; Ecosystem; Population Dynamics; Spatial Analysis
TL;DR: A hierarchical Bayes approach was developed to model the relationships between bird species occupancy and local landcover variables accounting for spatial autocorrelation, species similarities, and partial observability, supporting the hypothesis that local land cover heterogeneity is important as an exogenous driver for species distributions. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2013 journal article

Influence of Landscape Composition on Northern Bobwhite Population Response to Field Border Establishment

JOURNAL OF WILDLIFE MANAGEMENT, 78(1), 93–100.

By: S. Bowling n, C. Moorman n, C. Deperno n & B. Gardner n

author keywords: agriculture; Colinus virginianus; colonization; extinction; field border; landscape; northern bobwhite; occupancy
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities (OpenAlex)
13. Climate Action (Web of Science)
14. Life Below Water (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2013 journal article

Separating mortality and emigration: modelling space use, dispersal and survival with robust-design spatial capture-recapture data

METHODS IN ECOLOGY AND EVOLUTION, 5(12), 1327–1336.

By: T. Ergon* & B. Gardner n

author keywords: arvicoline (Arvicolinae) rodents; Bayesian analysis; competing risks; dispersal ecology; hierarchical modelling; individual random effects; life-history evolution; OpenBUGS; WinBUGS; JAGS; posterior predictive checks; spacing behaviour
UN Sustainable Development Goal Categories
3. Good Health and Well-being (OpenAlex)
15. Life on Land (Web of Science)
Source: Web Of Science
Added: August 6, 2018

2013 journal article

Using multiple data sources provides density estimates for endangered Florida panther

JOURNAL OF APPLIED ECOLOGY, 50(4), 961–968.

By: R. Sollmann n, B. Gardner n, R. Chandler, D. Shindle, D. Onorato*, J. Royle, . Allan F. O'Connell

author keywords: camera-trapping; mark-resight; population estimation; Puma concolor coryi; spatial capture-recapture; telemetry; unmarked populations
TL;DR: A spatial capture–recapture model is developed that requires only a portion of the individuals in the population to be identifiable, using data from two 9-month camera-trapping surveys conducted within the core range of panthers in southwestern Florida, and provides a framework for monitoring the Florida panther. (via Semantic Scholar)
UN Sustainable Development Goal Categories
15. Life on Land (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2012 journal article

A spatial mark-resight model augmented with telemetry data

ECOLOGY, 94(3), 553–559.

By: R. Sollmann n, B. Gardner n, A. Parsons n, J. Stocking n, B. McClintock*, T. Simons n, K. Pollock n, . Allan F. O'Connell

author keywords: abundance; Bayesian statistics; camera trapping; density; mark-resight; Metropolis-within-Gibbs sampler; population estimation; Procyon lotor; raccoons; spatial capture-recapture; telemetry
MeSH headings : Animal Identification Systems; Animals; Bayes Theorem; Models, Biological; Population Dynamics; Raccoons / physiology; Telemetry / veterinary
TL;DR: A spatial mark--resight model for estimating population density that combines spatial resighting data and telemetry data is developed that will have widespread utility in future applications, especially for species that are not naturally marked. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2012 journal article

Comparison of density estimation methods for mammal populations with camera traps in the Kaa-Iya del Gran Chaco landscape

ANIMAL CONSERVATION, 15(5), 527–535.

By: A. Noss*, B. Gardner n, L. Maffei, E. Cuellar*, R. Montano, A. Romero-Munoz*, R. Sollman n, A. O'Connell*

author keywords: Leopardus; Panthera; Puma; SPACECAP; Spatial Capture Recapture (SCR); Tapirus
TL;DR: Two spatially explicit capture–recapture software packages are compared: secr, a likelihood‐based approach, and SPACECAP, a Bayesian approach, both of which are implemented within the R environment and can be used to estimate animal density from photographic records of individual animals that simultaneously employ spatial information about the capture location relative to the sample location. (via Semantic Scholar)
UN Sustainable Development Goal Categories
15. Life on Land (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2012 journal article

Estimating Distribution of Hidden Objects with Drones: From Tennis Balls to Manatees

PLOS ONE, 7(6).

By: J. Martin*, H. Edwards*, M. Burgess*, H. Percival*, D. Fagan*, B. Gardner n, J. Ortega-Ortiz*, P. Ifju*, B. Evers*, T. Rambo*

MeSH headings : Aircraft; Animals; Computer Simulation; Environment; Humans; Models, Statistical; Pattern Recognition, Automated; Sports Equipment; Tennis; Trichechus
TL;DR: An experiment in which tennis balls were used as surrogates of organisms to be surveyed and UAV technology can be used to create precise distribution maps in which discrete regions of the study area are assigned a probability of presence of an object. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2012 journal article

How Does Spatial Study Design Influence Density Estimates from Spatial Capture-Recapture Models?

PLOS ONE, 7(4).

By: R. Sollmann n, B. Gardner n & J. Belant*

MeSH headings : Animals; Behavior, Animal; Female; Male; Models, Animal; Space Simulation; Ursidae
TL;DR: This study analysed black bear data collected with 123 hair snares with an SCR model accounting for differences in detection and movement between sexes and across the trapping occasions and found that results were similar across trap arrays, except when only 20% of the array was used. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2012 journal article

Imperfect detection is the rule rather than the exception in plant distribution studies

JOURNAL OF ECOLOGY, 101(1), 183–191.

By: G. Chen*, M. Kery*, M. Plattner, K. Ma* & B. Gardner n

author keywords: Bayesian analysis; biodiversity monitoring; detection probability; hierarchical model; occupancy; plant population and community dynamics; plant traits; Switzerland
TL;DR: The findings suggest that even in a standardized monitoring program, imperfect detection of plants may be common and maps in plant distribution studies will be confounded with spatial patterns in detection probability. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2012 journal article

Temporal sampling frame selection in DNA-based capture-mark-recapture investigations

URSUS, 23(1), 42–51.

By: M. Wegan*, P. Curtis*, R. Rainbolt* & B. Gardner n

TL;DR: Examination of several measures of hair trapping success and sample quality, such as DNA amplification rates and the mean number of black bear hair samples collected per trap visit, from hair-snare samples collected in 2 non-overlapping, multi-interval sampling frames conducted during 2005 and 2006 at Fort Drum Military Installation in northern New York. (via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018

2011 journal article

Accounting for non-independent detection when estimating abundance of organisms with a Bayesian approach

METHODS IN ECOLOGY AND EVOLUTION, 2(6), 595–601.

By: J. Martin*, J. Royle*, D. Mackenzie*, H. Edwards*, M. Kery* & B. Gardner n

author keywords: beta-binomial distribution; binomial mixture; correlated Bernoulli outcomes; correlated behaviour; manatees; truncated Poisson distribution
TL;DR: This work has shown that correlated behaviour, affecting the non‐independence of individual detections, may also be relevant in other systems (e.g. correlated patterns of singing in birds and amphibians). (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2011 journal article

Comparison of five modelling techniques to predict the spatial distribution and abundance of seabirds

BIOLOGICAL CONSERVATION, 156, 94–104.

author keywords: Species distribution model; Machine learning; Marine protected area; Important bird area (IBA); Shearwater; Portugal
TL;DR: This paper advocates the use of ensemble modelling that combines the output of several methods to predict the spatial distribution of seabirds, and uses these predictions to target separate surveys assessing the abundance of seABirds in areas of regular use. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
14. Life Below Water (Web of Science; OpenAlex)
15. Life on Land (Web of Science)
Source: Web Of Science
Added: August 6, 2018

2011 journal article

Improving density estimates for elusive carnivores: Accounting for sex-specific detection and movements using spatial capture-recapture models for jaguars in central Brazil

BIOLOGICAL CONSERVATION, 144(3), 1017–1024.

By: R. Sollmann*, M. Furtado*, B. Gardner n, H. Hofer*, A. Jacomo, N. Torres*, L. Silveira

author keywords: Bayesian analysis; Camera trapping; Cerrado; Panthera onca; Sex-specific movements
TL;DR: To estimate jaguar density in Emas National Park in the central Brazilian Cerrado grassland, an ecological hotspot of international importance, spatially explicit sex-specific capture–recapture models were used and the spatial model is preferable because it explicitly considers animal movements and allows incorporating site-specific and individual covariates. (via Semantic Scholar)
UN Sustainable Development Goal Categories
15. Life on Land (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

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