Smartphone-Based Distributed Data Collection Enables Rapid Assessment of Shorebird Habitat Suitability

Thieler, E. Robert; Zeigler, Sara L.; Winslow, Luke; Hines, Megan K.; Read, Jordan S.; Walker, Jordan

doi:10.1371/journal.pone.0164979

Cited by 11 publications

(11 citation statements)

References 26 publications

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“…We developed the smartphone application ‘iPlover’ [56] and partnered with individuals representing the U.S. Fish and Wildlife Service, U.S. National Park Service, several state wildlife or environmental agencies, and several private conservation organizations [34] to collect data on piping plover nesting habitat-use patterns that could be used to parameterize the Plover Habitat BN.…”

Section: Methodsmentioning

confidence: 99%

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Using a Bayesian network to understand the importance of coastal storms and undeveloped landscapes for the creation and maintenance of early successional habitat

Zeigler¹,

Gutierrez²,

Sturdivant³

et al. 2019

PLoS ONE

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Coastal storms have consequences for human lives and infrastructure but also create important early successional habitats for myriad species. For example, storm-induced overwash creates nesting habitat for shorebirds like piping plovers ( Charadrius melodus ). We examined how piping plover habitat extent and location changed on barrier islands in New York, New Jersey, and Virginia after Hurricane Sandy made landfall following the 2012 breeding season. We modeled nesting habitat using a nest presence/absence dataset that included characterizations of coastal morphology and vegetation. Using a Bayesian network, we predicted nesting habitat for each study site for the years 2010/2011, 2012, and 2014/2015 based on remotely sensed spatial datasets (e.g., lidar, orthophotos). We found that Hurricane Sandy increased piping plover habitat by 9 to 300% at 4 of 5 study sites but that one site saw a decrease in habitat by 27%. The amount, location, and longevity of new habitat appeared to be influenced by the level of human development at each site. At three of the five sites, the amount of habitat created and the time new habitat persisted were inversely related to the amount of development. Furthermore, the proportion of new habitat created in high-quality overwash was inversely related to the level of development on study areas, from 17% of all new habitat in overwash at one of the most densely developed sites to 80% of all new habitat at an undeveloped site. We also show that piping plovers exploited new habitat after the storm, with 14–57% of all nests located in newly created habitat in the 2013 breeding season. Our results quantify the importance of storms in creating and maintaining coastal habitats for beach-nesting species like piping plovers, and these results suggest a negative correlation between human development and beneficial ecological impacts of these natural disturbances.

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Section: Methodsmentioning

confidence: 99%

“…An identical protocol was employed at the locations of random, non-nesting points disseminated to our partners at the start of each breeding season. For additional details on the smartphone application, protocol, and dataset, see Thieler et al [56], Zeigler et al [34], and Sturdivant et al [57].…”

Section: Methodsmentioning

confidence: 99%

Using a Bayesian network to understand the importance of coastal storms and undeveloped landscapes for the creation and maintenance of early successional habitat

Zeigler¹,

Gutierrez²,

Sturdivant³

et al. 2019

PLoS ONE

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“…Since archaeological data can only be studied once in its primary form, it is essential to keep the information collected carefully and in a sustainable manner (Chaillou, 2003;Marshall et al, 2018). With the democratization of computers, tablets, smartphones, the data acquisition and exploration on archaeological sites is changing significantly (Albert et al, 2016;Barreau et al, 2013;Egharevba et al, 2019;Thieler et al, 2016). The digitization of information allows a faster, more efficient and standardized recording of data that facilitates the synthesis work required by the discipline.…”

Section: Introductionmentioning

confidence: 99%

HumanOS: an open source nomadic software database for physical anthropology and archaeology

Colleter¹,

Romain²,

Barreau

2020

Virtual archaeol. rev.

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With the democratization of computers, tablets and smartphones, the data acquisition and exploration on archaeological sites are changing significantly. The digitization of information allows a faster, more eﬃcient and more standardized data recording that facilitates the synthesis work required by the discipline. Numerous database programmes are being developed in archaeology and physical anthropology, notably with targeted tools developed to meet specific needs. However, to the authors’ knowledge, no efficient, free and open-source program for the recording of human bones in an archaeological context exists yet. In this paper, a mobile application for the intuitive recording of human bones from archaeological sites is described; this app, defined for the field and biological anthropologists, allows making an inventory of the burials from site to the laboratory from archaeological digs in an intuitive style. In addition to the recording of the skeleton, the application permits the recording of the discovery context. The application also gives significant freedom to the user, who can easily create research fields to their own research objectives. Finally, it permits exporting the information, either as text (automatic report) and/or as tables for statistical use. It is a modular, ergonomic and portable tool which meets researchers' requirements without needing an internet connection; it stores the recorded information in several formats (CSV, SVG, HTML and/or JSON), in a sustainable computer language, permitting complementary modules development. The system is implemented in the form of a free and open-source web application, programmed in JavaScript (available from http://www.humanos.cnrs.fr/) and supplied in the form of a simple ZIP file to decompress. The application does not require any special installation, as it opens by clicking on the executable "HumanOS.html" with any web browser, even without an Internet connection.Highlights:<ul><li>We have developed a mobile application which allows "field anthropologists" to record burials inventories from archaeological excavations on site and in the laboratory, in an intuitive way.</li><li>In addition to recording the skeleton, the application makes it possible to note the context of the discovery and to create fields of investigation according to its own research objectives.</li><li>It allows data export in the form of text (automatic report) and/or tables for statistical uses.</li></ul>

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“…For additional details on the smartphone application, protocol, and dataset, seeThieler et al (2016),Zeigler et al For the habitat assessment, categorical values were assigned for the geomorphic setting, substrate type, vegetation type and vegetation density that best described the 5 × 5-m area immediately surrounding the nest or random point.…”

mentioning

confidence: 99%

“…For the habitat assessment, categorical values were assigned for the geomorphic setting, substrate type, vegetation type and vegetation density that best described the 5 × 5-m area immediately surrounding the nest or random point. For additional details on the smartphone application, protocol, and dataset, seeThieler et al (2016),Zeigler et al (2017), and Sturdivant et al…”

mentioning

confidence: 99%

A pragmatic approach for comparing species distribution models to increasing confidence in managing piping plover habitat

Maslo

Zeigler

Drake

et al. 2019

Conservat Sci and Prac

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Conservation management often requires decision-making without perfect knowledge of the at-risk species or ecosystem. Species distribution models (SDMs) are useful but largely under-utilized due to model uncertainty. We used an ensemble modeling approach of two independently derived SDMs to explicitly address common modeling impediments and directly inform conservation decision-making for piping plovers in a heavily populated mid-Atlantic (USA) coastal zone. We summarized previously published Bayesian network and maximum entropy models to highlight similarities and differences in structure, and we compared the relative importance of predictors used. Despite differences in analytical approach, relative importance of factors driving nest-site selection was consistent. Models demonstrated considerable agreement when comparing a binary (suitable/ unsuitable) measure of suitability. Instances of model consensus (i.e., overlapping areas of predicted piping plover nesting habitat between models) provide a stronger "signal" in model results, reducing uncertainty related to biases or errors associated with either model. We tested model accuracy using a common dataset of plover nests initiated within the focal areas between 2013 and 2015, and we examined congruency in model outputs. Nearly, 90% of all nests occurred in areas predicted suitable by at least one model, and at least 33% of the total nests were predicted in areas suitable by both. Because models predominantly agreed on what drives piping plover nest-site selection, areas predicted suitable by a single model should not be discounted. This case study demonstrates how models can effectively inform conservation planning by explicitly identifying the management objective, presenting robust evidence to allow managers to evaluate outcomes of alternative management decisions, and clearly communicating results that address real-world conservation problems. Our results can

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Smartphone-Based Distributed Data Collection Enables Rapid Assessment of Shorebird Habitat Suitability

Cited by 11 publications

References 26 publications

Using a Bayesian network to understand the importance of coastal storms and undeveloped landscapes for the creation and maintenance of early successional habitat

Using a Bayesian network to understand the importance of coastal storms and undeveloped landscapes for the creation and maintenance of early successional habitat

HumanOS: an open source nomadic software database for physical anthropology and archaeology

A pragmatic approach for comparing species distribution models to increasing confidence in managing piping plover habitat

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