BookDOI
Camera Traps in Animal Ecology
About:
The article was published on 2011-01-01. It has received 430 citations till now. The article focuses on the topics: Animal ecology.read more
Citations
More filters
Journal ArticleDOI
Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning.
Mohammad Sadegh Norouzzadeh,Anh Nguyen,Margaret Kosmala,Alexandra Swanson,Meredith S. Palmer,Craig Packer,Jeff Clune +6 more
TL;DR: In this paper, the authors train deep convolutional neural networks to identify, count, and describe the behaviors of 48 species in the 3.2 million-image Snapshot Serengeti dataset.
Posted Content
Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning
Mohammad Sadegh Norouzzadeh,Anh Nguyen,Margaret Kosmala,Alexandra Swanson,Meredith S. Palmer,Craig Packer,Jeff Clune +6 more
TL;DR: The ability to automatically, accurately, and inexpensively collect such data, which could help catalyze the transformation of many fields of ecology, wildlife biology, zoology, conservation biology, and animal behavior into “big data” sciences is investigated.
Journal ArticleDOI
Snapshot Serengeti, high-frequency annotated camera trap images of 40 mammalian species in an African savanna
Alexandra Swanson,Margaret Kosmala,Chris Lintott,Robert Mark Simpson,Arfon M. Smith,Craig Packer +5 more
TL;DR: This work deployed 225 camera traps across Serengeti National Park, Tanzania, to evaluate spatial and temporal inter-species dynamics and classified the images via the citizen-science website www.snapshotsereNGeti.org, yielding a final classification for each image and a measure of agreement among individual answers.
Journal ArticleDOI
Big cats in our backyards: Persistence of large carnivores in a human dominated landscape in India
TL;DR: This study used photographic capture recapture analysis to assess the density of large carnivores in a human-dominated agricultural landscape with density >300 people/km2 in western Maharashtra, India and found evidence of a wide suite of wild carnivores inhabiting a cropland landscape devoid of wilderness and wild herbivore prey.
Journal ArticleDOI
Fear of large carnivores causes a trophic cascade.
TL;DR: It is suggested that the results reinforce the need to conserve large carnivores given the significant “ecosystem service” the fear of them provides.
References
More filters
Book
Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach
TL;DR: The second edition of this book is unique in that it focuses on methods for making formal statistical inference from all the models in an a priori set (Multi-Model Inference).
Journal ArticleDOI
Random-effects models for longitudinal data
Nan M. Laird,James H. Ware +1 more
TL;DR: In this article, a unified approach to fitting two-stage random-effects models, based on a combination of empirical Bayes and maximum likelihood estimation of model parameters and using the EM algorithm, is discussed.
Journal ArticleDOI
Program MARK: survival estimation from populations of marked animals
Gary C. White,Kenneth P. Burnham +1 more
TL;DR: Mark as discussed by the authors provides parameter estimates from marked animals when they are re-encountered at a later time as dead recoveries, or live recaptures or re-sightings.
Journal ArticleDOI
Bootstrap Methods for Standard Errors, Confidence Intervals, and Other Measures of Statistical Accuracy
Bradley Efron,Robert Tibshirani +1 more
TL;DR: The bootstrap is extended to other measures of statistical accuracy such as bias and prediction error, and to complicated data structures such as time series, censored data, and regression models.
Journal ArticleDOI
Quantifying biodiversity: procedures and pitfalls in the measurement and comparison of species richness
TL;DR: A series of common pitfalls in quantifying and comparing taxon richness are surveyed, including category‐subcategory ratios (species-to-genus and species-toindividual ratios) and rarefaction methods, which allow for meaningful standardization and comparison of datasets.