Volunteer-run cameras as distributed sensors for macrosystem mammal research

[1]  Tavis D. Forrester,et al.  Cats are Rare Where Coyotes Roam , 2015 .

[2]  P. Caley,et al.  Estimating population density from presence–absence data using a spatially explicit model , 2015 .

[3]  Peter P. Marra,et al.  Linking place-based citizen science with large-scale conservation research: A case study of bird-building collisions and the role of professional scientists , 2015 .

[4]  M. Keller,et al.  Big questions, big science: meeting the challenges of global ecology , 2015, Oecologia.

[5]  W. McShea What are the roles of species distribution models in conservation planning? , 2014, Environmental Conservation.

[6]  M. Hebblewhite,et al.  Status and Ecological Effects of the World’s Largest Carnivores , 2014, Science.

[7]  H. Nagendra,et al.  Remote sensing for conservation monitoring: Assessing protected areas, habitat extent, habitat condition, species diversity, and threats , 2013 .

[8]  Jiangping Wang,et al.  Automated identification of animal species in camera trap images , 2013, EURASIP J. Image Video Process..

[9]  William A. Link,et al.  The North American Breeding Bird Survey 1966–2011: Summary Analysis and Species Accounts , 2013 .

[10]  Tony X. Han,et al.  Ensemble Video Object Cut in Highly Dynamic Scenes , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

[11]  Roy Turkington,et al.  Frontiers inEcology and the Environment Coordinated distributed experiments : an emerging tool for testing global hypotheses in ecology and environmental science , 2012 .

[12]  Philippe Bouché,et al.  Unmanned Aerial Survey of Elephants , 2013, PloS one.

[13]  Antony J. Lynam,et al.  TERRESTRIAL ACTIVITY PATTERNS OF WILD CATS FROM CAMERA-TRAPPING , 2013 .

[14]  Sheng Li,et al.  Gauging the impact of management expertise on the distribution of large mammals across protected areas , 2012 .

[15]  M. Kinnaird,et al.  Effects of Private‐Land Use, Livestock Management, and Human Tolerance on Diversity, Distribution, and Abundance of Large African Mammals , 2012, Conservation Biology.

[16]  Jami J. Belt,et al.  Citizen science and observer variability during American pika surveys , 2012 .

[17]  Caren B. Cooper,et al.  Data validation in citizen science: a case study from Project FeederWatch , 2012 .

[18]  Rick Bonney,et al.  The current state of citizen science as a tool for ecological research and public engagement , 2012 .

[19]  M. D. Schwartz,et al.  From Caprio's lilacs to the USA National Phenology Network , 2012 .

[20]  Fatih Murat Porikli,et al.  Changedetection.net: A new change detection benchmark dataset , 2012, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

[21]  Steve Kelling,et al.  Data-intensive science applied to broad-scale citizen science. , 2012, Trends in ecology & evolution.

[22]  Thomas J. Stohlgren,et al.  Assessing citizen science data quality: an invasive species case study , 2011 .

[23]  Courtney J. Conway,et al.  Standardized North American Marsh Bird Monitoring Protocol , 2011 .

[24]  R. Kays,et al.  Quantifying the sensitivity of camera traps: an adapted distance sampling approach , 2011 .

[25]  A. Prasad,et al.  Lessons Learned While Integrating Habitat, Dispersal, Disturbance, and Life-History Traits into Species Habitat Models Under Climate Change , 2011, Ecosystems.

[26]  Chih-Jen Lin,et al.  LIBSVM: A library for support vector machines , 2011, TIST.

[27]  David N. Bonter,et al.  Citizen Science as an Ecological Research Tool: Challenges and Benefits , 2010 .

[28]  Zhihai He,et al.  Monitoring wild animal communities with arrays of motion sensitive camera traps , 2010, ArXiv.

[29]  Timothy G. O'Brien,et al.  The Wildlife Picture Index: monitoring top trophic levels , 2010 .

[30]  Arco J. van Strien,et al.  Wild Bird Indicators: Using Composite Population Trends of Birds as Measures of Environmental Health , 2010 .

[31]  Brian L. Sullivan,et al.  eBird: A citizen-based bird observation network in the biological sciences , 2009 .

[32]  J. Elith,et al.  Species Distribution Models: Ecological Explanation and Prediction Across Space and Time , 2009 .

[33]  Yihong Gong,et al.  Linear spatial pyramid matching using sparse coding for image classification , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[34]  Miroslav Dudík,et al.  Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation , 2008 .

[35]  J. Cohn Citizen Science: Can Volunteers Do Real Research? , 2008 .

[36]  David G. Delaney,et al.  Marine invasive species: validation of citizen science and implications for national monitoring networks , 2007, Biological Invasions.

[37]  D. Niven,et al.  Combining Data from the Christmas Bird Count and the Breeding Bird Survey to Determine the Continental Status and Trends of North America Birds , 2007 .

[38]  A. W. Galloway,et al.  The Reliability of Citizen Science: A Case Study of Oregon White Oak Stand Surveys , 2006 .

[39]  A. F. O'connell,et al.  Estimating Site Occupancy and Detection Probability Parameters for Meso- And Large Mammals in a Coastal Ecosystem , 2006 .

[40]  R. Kays,et al.  A Comparison of Noninvasive Techniques to Survey Carnivore Communities in Northeastern North America , 2006 .

[41]  R. Bonney,et al.  Scientific knowledge and attitude change: The impact of a citizen science project , 2005 .

[42]  C. S. Robbins,et al.  ENHANCING THE SCIENTIFIC VALUE OF THE CHRISTMAS BIRD COUNT , 2005 .

[43]  David W. Macdonald,et al.  Validating mammal monitoring methods and assessing the performance of volunteers in wildlife conservation—“Sed quis custodiet ipsos custodies ?” , 2003 .

[44]  J. Nichols,et al.  ESTIMATING SITE OCCUPANCY, COLONIZATION, AND LOCAL EXTINCTION WHEN A SPECIES IS DETECTED IMPERFECTLY , 2003 .

[45]  B. McGill A test of the unified neutral theory of biodiversity , 2003, Nature.

[46]  Richard J. Delahay,et al.  A review of methods to estimate the abundance of terrestrial carnivores using field signs and observation , 2001 .

[47]  David L. Smith,et al.  The use of photographic rates to estimate densities of tigers and other cryptic mammals , 2001, Animal Conservation.

[48]  Leska S. Fore,et al.  Assessing the performance of volunteers in monitoring streams. , 2001 .

[49]  J. Nichols,et al.  ESTIMATION OF TIGER DENSITIES IN INDIA USING PHOTOGRAPHIC CAPTURES AND RECAPTURES , 1998 .

[50]  W. Link,et al.  ESTIMATING POPULATION CHANGE FROM COUNT DATA: APPLICATION TO THE NORTH AMERICAN BREEDING BIRD SURVEY , 1998 .

[51]  David J. Mladenoff,et al.  Assessing potential gray wolf restoration in the northeastern United States : A spatial prediction of favorable habitat and potential population levels , 1998 .

[52]  J. Swenson,et al.  Size, trend, distribution and conservation of the brown bear Ursus arctos population in Sweden , 1994 .