An evaluation of a citizen science data collection program for recording wildlife observations along a highway.
Citizen science programs that record wildlife observations on and along roads can help reduce the underreporting of wildlife-vehicle collisions and identify and prioritize road sections where mitigation measures may be required. It is important to evaluate potential biases in opportunistic citizen s...
| Publicado en: | Journal of Environmental Management Vol. 139; pp. 180 - 188 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
| Publicado: |
Academic Press Inc.
Jun2014
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=95987458&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 95987458 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 03014797 EMJ jtl: Journal of Environmental Management issn: 03014797 maglogo: N pubinfo: dt: Jun2014 vid: 139 pid: 735 pub: Academic Press Inc. artinfo: ui: 95987458 10.1016/j.jenvman.2014.02.018 ppf: 180 ppct: 8 formats: tig: atl: An evaluation of a citizen science data collection program for recording wildlife observations along a highway. aug: au: Paul, Kylie Quinn, Michael S. Huijser, Marcel P. Graham, Jonathan Broberg, Len affil: Environmental Studies Program, The University of Montana, Jeannette Rankin Hall 106A, Missoula, MT 59812-4320, USA Institute for Environmental Sustainability, Mount Royal University, 4825 Mount Royal Gate SW, Calgary Alberta T3E 6K6, Canada Western Transportation Institute, Montana State University, PO Box 174250, Bozeman, MT 59717-4250, USA Department of Mathematical Sciences, The University of Montana, Missoula, MT 59812-0864, USA su: Alberta Traffic accidents Citizen science Scientific observation Effect of roads on animals Acquisition of data Research methodology evaluation Statistical reliability sug: subj: Traffic accidents Alberta Citizen science Scientific observation Effect of roads on animals Acquisition of data Research methodology evaluation Statistical reliability keyword: Highway Hotspot Mitigation Wildlife Highway Hotspot Mitigation Wildlife ab: Citizen science programs that record wildlife observations on and along roads can help reduce the underreporting of wildlife-vehicle collisions and identify and prioritize road sections where mitigation measures may be required. It is important to evaluate potential biases in opportunistic citizen science data. We investigated whether the opportunistic observations of live animals by volunteers along a 46-km section of Highway 3 in the Crowsnest Pass area (“Road Watch in the Pass” data collection program) in Alberta, Canada, had a similar spatial pattern as systematically collected data by the researchers along the same road section. A permutation modeling process that compared the number of observations between the two datasets for each 1-km segment, a randomization method that tested for and compared hotspot observation locations, and a bivariate Ripley's L -function analysis along a continuum of spatial scales all showed spatial agreement between the two datasets. There was spatial agreement at a scale between 1 and 4 km, and three clear hotspots of wildlife observation activity were identified for both processes. This suggests that the data collected by the volunteers are reliable and robust enough to be used to help identify road sections that may require mitigation measures. In addition, volunteers proved to be able to collect a sufficient number of observations relatively quickly. Within one year, 24 volunteers collected 640 wildlife observations, and we found that using only 150 or more of these observations always resulted in spatial similarity with the systematic observations collected by the researchers. We conclude with recommendations for other citizen science data collection programs and for further research. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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