New York State's WAVE Method - Evaluation of a Method for Water Quality Monitoring by Citizen Scientists using Benthic Macroinvertebrates.
New York State Department of Environmental Conservation (NYSDEC) has developed a robust citizen science macroinvertebrate sampling method. The metric relies on the presence and not the absence of key macroinvertebrates and therefore is resistant to collection and sorting errors. It identifies unimpa...
| Publicado en: | Environmental Management Vol. 71; no. 2; pp. 432 - 439 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Feb2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=161655319&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 161655319 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 0364152X O5H jtl: Environmental Management issn: 0364152X maglogo: N pubinfo: dt: Feb2023 vid: 71 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 161655319 160613053 10.1007/s00267-022-01753-1 161655319 ppf: 432 ppct: 7 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: New York State's WAVE Method - Evaluation of a Method for Water Quality Monitoring by Citizen Scientists using Benthic Macroinvertebrates. aug: au: Onion, Alene M. Smith, Alexander J. Duffy, Brian T. affil: New York State Department of Environmental Conservation, 625 Broadway, 12233, Albany, NY, USA sug: ab: New York State Department of Environmental Conservation (NYSDEC) has developed a robust citizen science macroinvertebrate sampling method. The metric relies on the presence and not the absence of key macroinvertebrates and therefore is resistant to collection and sorting errors. It identifies unimpaired streams with high confidence (0.1% type 1 errors) and at a reasonable efficiency compared to NYSDEC's multimetric index of biological integrity (54%). We rank remaining stream samples for further investigation using a calculated probability of impairment. This method is valuable as a tool for large monitoring programs with limited resources for quality assurance checks. The value of this method goes beyond data collection, however, as data of known quality is an effective communication tool between citizen scientists and state regulatory agencies and/or local decision makers. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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