Improving inference for aerial surveys of bears: The importance of assumptions and the cost of unnecessary complexity
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Improving inference for aerial surveys of bears: The importance of assumptions and the cost of unnecessary complexity
Authors
Keywords
-
Journal
Ecology and Evolution
Volume 7, Issue 13, Pages 4812-4821
Publisher
Wiley
Online
2017-05-26
DOI
10.1002/ece3.2912
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A road map for designing and implementing a biological monitoring program
- (2016) Joel H. Reynolds et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
- Estimating demographic parameters using a combination of known-fate and openN-mixture models
- (2015) Joshua H. Schmidt et al. ECOLOGY
- An open-population hierarchical distance sampling model
- (2015) Rahel Sollmann et al. ECOLOGY
- A Unimodal Model for Double Observer Distance Sampling Surveys
- (2015) Earl F. Becker et al. PLoS One
- A hierarchical model combining distance sampling and time removal to estimate detection probability during avian point counts
- (2014) Courtney L. Amundson et al. AUK
- Habitat use and population status of Yellow-billed and Pacific loons in western Alaska, USA
- (2014) Joshua H. Schmidt et al. CONDOR
- Using double-observer aerial surveys to monitor nesting bald eagles in Alaska: Are all nests available for detection?
- (2014) Tammy L. Wilson et al. JOURNAL OF WILDLIFE MANAGEMENT
- The neglected tool in the Bayesian ecologist's shed: a case study testing informative priors' effect on model accuracy
- (2014) William K. Morris et al. Ecology and Evolution
- Accounting for incomplete detection: What are we estimating and how might it affect long-term passerine monitoring programs?
- (2013) Joshua H. Schmidt et al. BIOLOGICAL CONSERVATION
- Modeling structured population dynamics using data from unmarked individuals
- (2013) Elise F. Zipkin et al. ECOLOGY
- Reducing effort while improving inference: Estimating Dall's sheep abundance and composition in small areas
- (2013) Joshua H. Schmidt et al. JOURNAL OF WILDLIFE MANAGEMENT
- Advances and applications of occupancy models
- (2013) Larissa L. Bailey et al. Methods in Ecology and Evolution
- Occupancy in continuous habitat
- (2012) Murray G. Efford et al. Ecosphere
- Planning for success: Identifying effective and efficient survey designs for monitoring
- (2011) Joel H. Reynolds et al. BIOLOGICAL CONSERVATION
- Addressing challenges when studying mobile or episodic species: hierarchical Bayes estimation of occupancy and use
- (2011) Rua S. Mordecai et al. JOURNAL OF APPLIED ECOLOGY
- Using distance sampling and hierarchical models to improve estimates of Dall's sheep abundance
- (2011) Joshua H. Schmidt et al. JOURNAL OF WILDLIFE MANAGEMENT
- Models for Estimating Abundance from Repeated Counts of an Open Metapopulation
- (2010) D. Dail et al. BIOMETRICS
- Estimating Black Bear Density Using DNA Data From Hair Snares
- (2010) Beth Gardner et al. JOURNAL OF WILDLIFE MANAGEMENT
- Application of a Double-Observer Aerial Line-Transect Method to Estimate Brown Bear Population Density in Southwestern Alaska
- (2010) Patrick Walsh et al. Journal of Fish and Wildlife Management
- Hierarchical models for estimating density from DNA mark–recapture studies
- (2009) Beth Gardner et al. ECOLOGY
- A gamma-shaped detection function for line-transect surveys with mark-recapture and covariate data
- (2009) E. F. Becker et al. JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS
- MULTIPLE DATA SOURCES IMPROVE DNA-BASED MARK–RECAPTURE POPULATION ESTIMATES OF GRIZZLY BEARS
- (2008) John Boulanger et al. ECOLOGICAL APPLICATIONS
- Grizzly Bear Density in Glacier National Park, Montana
- (2008) Katherine C. Kendall et al. JOURNAL OF WILDLIFE MANAGEMENT
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now