Smartphone-based distributed data collection enables rapid assessment of shorebird habitat suitability
This is an open access article, free of all copyright. The definitive version was published in PLoS ONE 11 (2016): e0164979, doi:10.1371/journal.pone.0164979. Understanding and managing dynamic coastal landscapes for beach-dependent species requires biological and geological data across the range of...
Published in: | PLOS ONE |
---|---|
Main Authors: | , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Public Library of Science
2016
|
Subjects: | |
Online Access: | https://hdl.handle.net/1912/8605 |
id |
ftwhoas:oai:darchive.mblwhoilibrary.org:1912/8605 |
---|---|
record_format |
openpolar |
spelling |
ftwhoas:oai:darchive.mblwhoilibrary.org:1912/8605 2023-05-15T17:33:46+02:00 Smartphone-based distributed data collection enables rapid assessment of shorebird habitat suitability Thieler, E. Robert Zeigler, Sara L. Winslow, Luke A. Hines, Megan K. Read, Jordan S. Walker, Jordan I. 2016-11-09 https://hdl.handle.net/1912/8605 en_US eng Public Library of Science https://doi.org/10.5066/F70V89X3 https://doi.org/10.1371/journal.pone.0164979 PLoS ONE 11 (2016): e0164979 https://hdl.handle.net/1912/8605 doi:10.1371/journal.pone.0164979 CC0 1.0 Universal http://creativecommons.org/publicdomain/zero/1.0/ CC0 PDM PLoS ONE 11 (2016): e0164979 doi:10.1371/journal.pone.0164979 Article 2016 ftwhoas https://doi.org/10.1371/journal.pone.0164979 https://doi.org/10.5066/F70V89X3 2022-05-28T22:59:48Z This is an open access article, free of all copyright. The definitive version was published in PLoS ONE 11 (2016): e0164979, doi:10.1371/journal.pone.0164979. 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. This work was supported by the North Atlantic Landscape Conservation Cooperative through the U.S. Department of the Interior Hurricane Sandy recovery program under the Disaster Relief Appropriations Act of 2013, and the U.S. Geological Survey Coastal and Marine Geology Program. Article in Journal/Newspaper North Atlantic Woods Hole Scientific Community: WHOAS (Woods Hole Open Access Server) PLOS ONE 11 11 e0164979 |
institution |
Open Polar |
collection |
Woods Hole Scientific Community: WHOAS (Woods Hole Open Access Server) |
op_collection_id |
ftwhoas |
language |
English |
description |
This is an open access article, free of all copyright. The definitive version was published in PLoS ONE 11 (2016): e0164979, doi:10.1371/journal.pone.0164979. 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. This work was supported by the North Atlantic Landscape Conservation Cooperative through the U.S. Department of the Interior Hurricane Sandy recovery program under the Disaster Relief Appropriations Act of 2013, and the U.S. Geological Survey Coastal and Marine Geology Program. |
format |
Article in Journal/Newspaper |
author |
Thieler, E. Robert Zeigler, Sara L. Winslow, Luke A. Hines, Megan K. Read, Jordan S. Walker, Jordan I. |
spellingShingle |
Thieler, E. Robert Zeigler, Sara L. Winslow, Luke A. Hines, Megan K. Read, Jordan S. Walker, Jordan I. Smartphone-based distributed data collection enables rapid assessment of shorebird habitat suitability |
author_facet |
Thieler, E. Robert Zeigler, Sara L. Winslow, Luke A. Hines, Megan K. Read, Jordan S. Walker, Jordan I. |
author_sort |
Thieler, E. Robert |
title |
Smartphone-based distributed data collection enables rapid assessment of shorebird habitat suitability |
title_short |
Smartphone-based distributed data collection enables rapid assessment of shorebird habitat suitability |
title_full |
Smartphone-based distributed data collection enables rapid assessment of shorebird habitat suitability |
title_fullStr |
Smartphone-based distributed data collection enables rapid assessment of shorebird habitat suitability |
title_full_unstemmed |
Smartphone-based distributed data collection enables rapid assessment of shorebird habitat suitability |
title_sort |
smartphone-based distributed data collection enables rapid assessment of shorebird habitat suitability |
publisher |
Public Library of Science |
publishDate |
2016 |
url |
https://hdl.handle.net/1912/8605 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
PLoS ONE 11 (2016): e0164979 doi:10.1371/journal.pone.0164979 |
op_relation |
https://doi.org/10.5066/F70V89X3 https://doi.org/10.1371/journal.pone.0164979 PLoS ONE 11 (2016): e0164979 https://hdl.handle.net/1912/8605 doi:10.1371/journal.pone.0164979 |
op_rights |
CC0 1.0 Universal http://creativecommons.org/publicdomain/zero/1.0/ |
op_rightsnorm |
CC0 PDM |
op_doi |
https://doi.org/10.1371/journal.pone.0164979 https://doi.org/10.5066/F70V89X3 |
container_title |
PLOS ONE |
container_volume |
11 |
container_issue |
11 |
container_start_page |
e0164979 |
_version_ |
1766132373476343808 |