Smartphone-Based Distributed Data Collection Enables Rapid Assessment of Shorebird Habitat Suitability
| العنوان: | Smartphone-Based Distributed Data Collection Enables Rapid Assessment of Shorebird Habitat Suitability |
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| المؤلفون: | Jordan Walker, Megan K. Hines, Jordan S. Read, E. Robert Thieler, Sara L. Zeigler, Luke A. Winslow |
| المصدر: | PLoS ONE PLoS ONE, Vol 11, Iss 11, p e0164979 (2016) |
| بيانات النشر: | Public Library of Science (PLoS), 2016. |
| سنة النشر: | 2016 |
| مصطلحات موضوعية: | 0106 biological sciences, Topography, Atmospheric Science, 010504 meteorology & atmospheric sciences, Beaches, Data management, lcsh:Medicine, 01 natural sciences, Computer Applications, Nesting Behavior, Consumer Electronics, Charadriiformes, Environmental monitoring, lcsh:Science, Atlantic Ocean, Data Management, Islands, Climatology, Multidisciplinary, Geography, biology, Data Collection, Plover, Environmental resource management, Charadrius, Habitats, Data Acquisition, Habitat, Web-Based Applications, Engineering and Technology, Smartphone, Environmental Monitoring, Research Article, Conservation of Natural Resources, Computer and Information Sciences, Climate Change, Equipment, 010603 evolutionary biology, Bathing Beaches, Animals, Ecosystem, 0105 earth and related environmental sciences, Communication Equipment, Landforms, Data collection, business.industry, lcsh:R, Ecology and Environmental Sciences, Reproducibility of Results, Geomorphology, biology.organism_classification, United States, Field (geography), Data quality, Earth Sciences, lcsh:Q, Animal Migration, Cell Phones, Electronics, business, Software |
| الوصف: | Understanding and managing dynamic coastal landscapes for beach-dependent species requires biological and geological data across the range of relevant environments and habitats. It is difficult to acquire such information; data often have limited focus due to resource constraints, are collected by non-specialists, or lack observational uniformity. We developed an open-source smartphone application called iPlover that addresses these difficulties in collecting biogeomorphic information at piping plover (Charadrius melodus) nest sites on coastal beaches. This paper describes iPlover development and evaluates data quality and utility following two years of collection (n = 1799 data points over 1500 km of coast between Maine and North Carolina, USA). We found strong agreement between field user and expert assessments and high model skill when data were used for habitat suitability prediction. Methods used here to develop and deploy a distributed data collection system have broad applicability to interdisciplinary environmental monitoring and modeling. |
| تدمد: | 1932-6203 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32acede3119f0b2f1c807b8db06cb3caTest https://doi.org/10.1371/journal.pone.0164979Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....32acede3119f0b2f1c807b8db06cb3ca |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 19326203 |
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