eBird: A citizen-based bird observation network in the biological sciences

Sullivan, Brian L.; Wood, Christopher; Iliff, Marshall J.; Bonney, Rick; Fink, Daniel; Kelling, Steve

doi:10.1016/j.biocon.2009.05.006

Cited by 1,497 publications

(1,322 citation statements)

References 8 publications

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“…Both are long-distance Neotropical migrants that winter in South America. During fall migration, vireos are regularly sited along most of the eastern U.S. coastline (Sullivan et al 2009). They reach the breeding grounds by either crossing or circumnavigating the Gulf of Mexico (Deppe et al 2015) and thus represent a short-jump migrant.…”

Section: Introductionmentioning

confidence: 99%

Prolonged stopover and consequences of migratory strategy on local-scale movements within a regional songbird staging area

Smetzer

King

2018

The Auk

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Section: Introductionmentioning

confidence: 99%

Prolonged stopover and consequences of migratory strategy on local-scale movements within a regional songbird staging area

Smetzer

King

2018

The Auk

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“…We surveyed managed moist soil wetlands [13] in Missouri, USA from August-October in 2012-2016 with ATV-based [19]. Building Strikes are records of either species from building strike monitoring programs [20].…”

Section: Migratory Phenologymentioning

confidence: 99%

“…figshare. doi:10.6084/m9.figshare.2760913.v2), eBird citizen science observations [19], and published data from building strikes [20]. We used observations from these datasets from 1 August through 30 November, and within latitudes 36.5 -40.5°N in the Mississippi Flyway because these areas represent primarily migratory habitat for both species [5][6] (Figure 2, Table 1).…”

Section: Introductionmentioning

confidence: 99%

Virginia and Yellow Rail autumn migration ecology: synthesis using multiple data sets

2017

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Virginia and Yellow Rails are among the least studied birds in North America, and there is a specific lack of information about their autumn migration ecology and migratory habitat use. We conducted nocturnal surveys across 11 public wetlands in Missouri, USA from 2012-2016, and compared the timing of autumn migration from our surveys with three opportunistic datasets: 1) eBird records, 2) building strikes, and 3) state ornithological records. The observed timing (start and end date and duration) of Virginia Rail autumn migration varied between the opportunistic data and our surveys. Virginia Rail opportunistic data were bimodal, while our surveys had a single peak the second week in October. Yellow Rail autumn migration through Missouri peaked earlier in our surveys than opportunistic datasets which peaked during the second week in October. Both rails were found in moist soil habitats, however Virginia Rails selected perennial vegetation more than was available, while Yellow Rails selected annual plant species. Both species showed no selection for water depth and used shallow flooded wetlands. Understanding the autumn migration period and habitat requirements will allow wetland managers to better manage lands for autumn migrating Virginia and Yellow Rails.

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“…Applications monitoring hazards through the collection of user-generated content are also reported: tweet distribution analysis for monitoring is employed in [23] for earthquakes and in [25] for floods. Examples exist of continuous monitoring applications in the environmental field: bird observation network [26], phenological studies [20], hydrological risk assessment [6], plant leaf status assessment [17] and geological surveys (http://britishgeologicalsurvey.crowdmap.com). Besides text, also visual content, such as Flickr photographs [27] and public touristic webcams [16] have been used to monitor environmental phenomena, such as coarse-grained snow cover maps [27], vegetation cover maps [28], flora distribution [27], cloud maps [16] and other meteorological processes [12].…”

Section: Related Workmentioning

confidence: 99%

A Framework for Outdoor Mobile Augmented Reality and Its Application to Mountain Peak Detection

Fedorov

Frajberg

Fraternali

2016

Lecture Notes in Computer Science

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Abstract. Outdoor augmented reality applications project information of interest onto views of the world in real-time. Their core challenge is recognizing the meaningful objects present in the current view and retrieving and overlaying pertinent information onto such objects. In this paper we report on the development of a framework for mobile outdoor augmented reality application, applied to the overlay of peak information onto views of mountain landscapes. The resulting app operates by estimating the virtual panorama visible from the viewpoint of the user, using an online Digital Terrain Model (DEM), and by matching such panorama to the actual image framed by the camera. When a good match is found, meta-data from the DEM (e.g, peak name, altitude, distance) are projected in real time onto the view. The application, besides providing a nice experience to the user, can be employed to crowdsource the collection of annotated mountain images for environmental applications.

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eBird: A citizen-based bird observation network in the biological sciences

Cited by 1,497 publications

References 8 publications

Prolonged stopover and consequences of migratory strategy on local-scale movements within a regional songbird staging area

Prolonged stopover and consequences of migratory strategy on local-scale movements within a regional songbird staging area

Virginia and Yellow Rail autumn migration ecology: synthesis using multiple data sets

A Framework for Outdoor Mobile Augmented Reality and Its Application to Mountain Peak Detection

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