Journal ArticleDOI
The eBird enterprise: An integrated approach to development and application of citizen science
Brian L. Sullivan,Jocelyn L. Aycrigg,Jessie H. Barry,Rick Bonney,Nicholas E. Bruns,Caren B. Cooper,Theo Damoulas,André A. Dhondt,Thomas G. Dietterich,Andrew Farnsworth,Daniel Fink,John W. Fitzpatrick,Thomas Fredericks,Jeff Gerbracht,Carla P. Gomes,Wesley M. Hochachka,Marshall J. Iliff,Carl Lagoze,Frank A. La Sorte,Matt Merrifield,Will Morris,Tina B. Phillips,Mark D. Reynolds,Amanda D. Rodewald,Kenneth V. Rosenberg,Nancy M. Trautmann,Andrea Wiggins,David W. Winkler,Weng-Keen Wong,Christopher L. Wood,Jun Yu,Steve Kelling +31 more
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The eBird project as mentioned in this paper has become a major source of biodiversity data, increasing our knowledge of the dynamics of species distributions, and having a direct impact on the conservation of birds and their habitats.About:
This article is published in Biological Conservation.The article was published on 2014-01-01. It has received 682 citations till now. The article focuses on the topics: Population & Citizen science.read more
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Next Steps for Citizen Science
Rick Bonney,Jennifer L. Shirk,Tina B. Phillips,Andrea Wiggins,Andrea Wiggins,Heidi L. Ballard,Abraham J. Miller-Rushing,Julia K. Parrish +7 more
TL;DR: Around the globe, thousands of research projects are engaging millions of individuals—many of whom are not trained as scientists—in collecting, categorizing, transcribing, or analyzing scientific data, known as citizen science.
Journal ArticleDOI
Assessing data quality in citizen science
TL;DR: Each citizen-science dataset should be judged individually, according to project design and application, and not assumed to be substandard simply because volunteers generated it.
Journal ArticleDOI
A call for full annual cycle research in animal ecology.
TL;DR: It is shown that the understanding of the fundamental ecology of four vertebrate classes has been limited by a severe breeding season research bias and that studies of individual and population-level responses to natural and anthropogenic change would benefit from a full annual cycle perspective.
Journal ArticleDOI
Citizen science and the United Nations Sustainable Development Goals
Steffen Fritz,Linda See,Tyler Carlson,Mordechai Haklay,Jessie L. Oliver,Jessie L. Oliver,Dilek Fraisl,Dilek Fraisl,Rosy Mondardini,Martin Brocklehurst,Lea Shanley,Sven Schade,Uta Wehn,Tommaso Abrate,Janet Anstee,Janet Anstee,Stephan Arnold,Matthew Billot,Jillian Campbell,Jessica Espey,Margaret Gold,Gerid Hager,Shan He,Libby Hepburn,Angel Hsu,Deborah Long,Joan Masó,Ian McCallum,Maina Muniafu,Inian Moorthy,Michael Obersteiner,Alison Parker,Maike Weisspflug,Sarah West +33 more
TL;DR: In this article, the authors present a roadmap that outlines how citizen science can be integrated into the formal sustainable development goals reporting mechanisms, which will require leadership from the United Nations, innovation from National Statistical Offices and focus from the citizen-science community to identify the indicators for which citizen scientists can make a real contribution.
Journal ArticleDOI
Remotely Sensed High-Resolution Global Cloud Dynamics for Predicting Ecosystem and Biodiversity Distributions.
Adam M. Wilson,Walter Jetz +1 more
TL;DR: It is demonstrated that cloud cover varies strongly in its geographic heterogeneity and that the direct, observation-based nature of cloud-derived metrics can improve predictions of habitats, ecosystem, and species distributions with reduced spatial autocorrelation compared to commonly used interpolated climate data.
References
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Journal ArticleDOI
Species Distribution Models: Ecological Explanation and Prediction Across Space and Time
Jane Elith,John R. Leathwick +1 more
TL;DR: Species distribution models (SDMs) as mentioned in this paper are numerical tools that combine observations of species occurrence or abundance with environmental estimates, and are used to gain ecological and evolutionary insights and to predict distributions across landscapes, sometimes requiring extrapolation in space and time.
Journal ArticleDOI
Global Biodiversity: Indicators of Recent Declines
Stuart H. M. Butchart,Stuart H. M. Butchart,Matt Walpole,Ben Collen,Arco J. van Strien,Jörn P. W. Scharlemann,Rosamunde E. A. Almond,Jonathan E. M. Baillie,Bastian Bomhard,Ciaire Brown,John F. Bruno,Kent E. Carpenter,Geneviève M. Carr,Janice Chanson,Anna M. Chenery,Jorge Csirke,Nick C. Davidson,Frank Dentener,Matthew N. Foster,Alessandro Galli,James N. Galloway,Piero Genovesi,Richard D. Gregory,Marc Hockings,Valerie Kapos,Valerie Kapos,Jean-Francois Lamarque,Fiona Leverington,Jonathan Loh,Melodie A. McGeoch,Louise McRae,Anahit Minasyan,Monica Hernández Morcillo,Thomasina E.E. Oldfield,Daniel Pauly,Suhel Quader,Carmen Revenga,John R. Sauer,Benjamin Skolnik,Dian Spear,Damon Stanwell-Smith,Simon N. Stuart,Andy Symes,Megan Tierney,Tristan D. Tyrrell,Jean Christophe Vié,Reg Watson +46 more
TL;DR: Most indicators of the state of biodiversity showed declines, with no significant recent reductions in rate, whereas indicators of pressures on biodiversity showed increases, indicating that the Convention on Biological Diversity’s 2010 targets have not been met.
Journal ArticleDOI
Estimating site occupancy rates when detection probabilities are less than one
Darryl I. MacKenzie,James D. Nichols,Gideon B. Lachman,Sam Droege,J. Andrew Royle,Catherine A. Langtimm +5 more
TL;DR: In this paper, a model and likelihood-based method for estimating site occupancy rates when detection probabilities are 0.3 was proposed for American toads (Bufo americanus) and spring peepers (Pseudacris crucifer).
Book
Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence
TL;DR: This chapter discusses single-species, Single-season Occupancy Models with Heterogeneous Detection Probabilities, and interspecific Relationships Between Species.