Linking camera‐trap data to taxonomy: Identifying photographs of morphologically similar chipmunks
出版年份 2021 全文链接
标题
Linking camera‐trap data to taxonomy: Identifying photographs of morphologically similar chipmunks
作者
关键词
-
出版物
Ecology and Evolution
Volume 11, Issue 14, Pages 9741-9764
出版商
Wiley
发表日期
2021-06-22
DOI
10.1002/ece3.7801
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Will Lynx Lose Their Edge? Canada Lynx Occupancy in Washington
- (2020) Travis W. King et al. JOURNAL OF WILDLIFE MANAGEMENT
- An empirical evaluation of camera trap study design: how many, how long, and when?
- (2020) Roland Kays et al. Methods in Ecology and Evolution
- Determining the efficacy of camera traps, live capture traps, and detection dogs for locating cryptic small mammal species
- (2020) Morgan L. Thomas et al. Ecology and Evolution
- Predicting the distribution of a rare chipmunk (Neotamias quadrivittatus oscuraensis): comparing MaxEnt and occupancy models
- (2020) Ian E Perkins-Taylor et al. JOURNAL OF MAMMALOGY
- Snap happy: camera traps are an effective sampling tool when compared with alternative methods
- (2019) Oliver R. Wearn et al. Royal Society Open Science
- Error rates in wildlife image classification
- (2019) TJ Gooliaff et al. Ecology and Evolution
- Maximising camera trap data: Using attractants to improve detection of elusive species in multi-species surveys
- (2019) David Mills et al. PLoS One
- Ecological factors associated with site occupancy of an endemic chipmunk
- (2018) Ian E. Perkins-Taylor et al. JOURNAL OF WILDLIFE MANAGEMENT
- The role of human outdoor recreation in shaping patterns of grizzly bear-black bear co-occurrence
- (2018) Andrew Ladle et al. PLoS One
- Species identification by conservation practitioners using online images: accuracy and agreement between experts
- (2018) Gail E. Austen et al. PeerJ
- Identifying animal species in camera trap images using deep learning and citizen science
- (2018) Marco Willi et al. Methods in Ecology and Evolution
- Machine learning to classify animal species in camera trap images: Applications in ecology
- (2018) Michael A. Tabak et al. Methods in Ecology and Evolution
- Measuring agreement among experts in classifying camera images of similar species
- (2018) TJ Gooliaff et al. Ecology and Evolution
- The importance of data quality for generating reliable distribution models for rare, elusive, and cryptic species
- (2017) Keith B. Aubry et al. PLoS One
- Identification of threatened rodent species using infrared and white-flash camera traps
- (2017) Phoebe A. Burns et al. AUSTRALIAN MAMMALOGY
- Camera-based occupancy monitoring at large scales: Power to detect trends in grizzly bears across the Canadian Rockies
- (2016) Robin Steenweg et al. BIOLOGICAL CONSERVATION
- A generalized approach for producing, quantifying, and validating citizen science data from wildlife images
- (2016) Alexandra Swanson et al. CONSERVATION BIOLOGY
- Scaling-up camera traps: monitoring the planet's biodiversity with networks of remote sensors
- (2016) Robin Steenweg et al. FRONTIERS IN ECOLOGY AND THE ENVIRONMENT
- Using camera trapping and hierarchical occupancy modelling to evaluate the spatial ecology of an African mammal community
- (2016) Lindsey N. Rich et al. JOURNAL OF APPLIED ECOLOGY
- 2016 Guidelines of the American Society of Mammalogists for the use of wild mammals in research and education:
- (2016) Robert S. Sikes et al. JOURNAL OF MAMMALOGY
- Species identification by experts and non-experts: comparing images from field guides
- (2016) G. E. Austen et al. Scientific Reports
- Landscape-scale factors determine occupancy of the critically endangered central rock-rat in arid Australia: The utility of camera trapping
- (2015) Peter J. McDonald et al. BIOLOGICAL CONSERVATION
- Spatiotemporal hierarchical modelling of species richness and occupancy using camera trap data
- (2015) Mathias W. Tobler et al. JOURNAL OF APPLIED ECOLOGY
- REVIEW: Wildlife camera trapping: a review and recommendations for linking surveys to ecological processes
- (2015) A. Cole Burton et al. JOURNAL OF APPLIED ECOLOGY
- Volunteer-run cameras as distributed sensors for macrosystem mammal research
- (2015) William J. McShea et al. LANDSCAPE ECOLOGY
- Using camera-trap technology to improve undergraduate education and citizen-science contributions in wildlife research
- (2015) Melissa Karlin et al. SOUTHWESTERN NATURALIST
- Factors affecting the identification of individual mountain bongo antelope
- (2015) Gwili E.M. Gibbon et al. PeerJ
- Quantifying levels of animal activity using camera trap data
- (2014) J. Marcus Rowcliffe et al. Methods in Ecology and Evolution
- Cryptic mammals caught on camera: Assessing the utility of range wide camera trap data for conserving the endangered Asian tapir
- (2013) Matthew Linkie et al. BIOLOGICAL CONSERVATION
- Observer effects and avian-call-count survey quality: Rare-species biases and overconfidence
- (2012) AUK
- Temporal activity patterns of the swamp rat (Rattus lutreolus) and other rodents in north-eastern New South Wales, Australia
- (2012) Paul D. Meek et al. AUSTRALIAN MAMMALOGY
- Improving occupancy estimation when two types of observational error occur: non-detection and species misidentification
- (2011) David A. Miller et al. ECOLOGY
- Spatially explicit inference for open populations: estimating demographic parameters from camera-trap studies
- (2010) Beth Gardner et al. ECOLOGY
- A comparison of the effectiveness of camera trapping and live trapping for sampling terrestrial small-mammal communities
- (2010) Natasha De Bondi et al. WILDLIFE RESEARCH
- An evaluation of camera traps for inventorying large- and medium-sized terrestrial rainforest mammals
- (2008) M. W. Tobler et al. ANIMAL CONSERVATION
- Using Anecdotal Occurrence Data for Rare or Elusive Species: The Illusion of Reality and a Call for Evidentiary Standards
- (2008) Kevin S. McKelvey et al. BIOSCIENCE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now