Ontology type: schema:ScholarlyArticle Open Access: True
2019-12
AUTHORSBrittany G. Sullivan, Shannon H. Clarke, Daniel P. Struthers, Mark K. Taylor, Steven J. Cooke
ABSTRACTManual tracking has been used since the 1970s as an effective radio telemetry approach for evaluating habitat use of fish in fluvial systems. Radio tags are often located by continually reducing the gain when approaching the tag along a watercourse to estimate its location, termed here as the ‘Gain Reduction Method’. However, to our knowledge the accuracy of this method has not been empirically evaluated and reported in the literature. Here, the longitudinal and lateral positional errors of radio tags are assessed when applying the Gain Reduction Method in a small stream environment. Longitudinal and lateral positional errors (i.e. the difference between the estimated and actual radio tag location) were evaluated based on the distance from the actual tag position, the gain recorded when estimating the tag position and a number of environmental parameters (i.e. stream depth, velocity, stream width and specific conductivity). The manual tracking trials produced an average lateral positional error of 0.91 m (± 1.4) and a longitudinal positional error of 0.66 m (± 0.87). A larger degree of longitudinal positional error was documented when the gain was higher (t = 2.21, p < 0.05). Larger lateral positional error was recorded when the tag was farther across the stream (t = 2.27, p < 0.01) and due to greater inaccuracy in longitudinal positioning (t = 3.2, p = 0.001). In addition, greater rates of lateral positional error were found when specific conductivity levels were higher (t = 2, p < 0.05). Longitudinal and lateral positional errors were not influenced by stream width (m), depth (m) or velocity (m/s). Although the Gain Reduction Method is commonly used to estimate habitat use of stream fishes, there appears to be a paucity of information in the literature that addresses the accuracy for obtaining fine-scale positioning of tagged fishes. This study is aimed to address this knowledge gap by identifying sources of locational error with the Gain Reduction Method. Overall, habitat variables were deemed to be unlikely to have a significant effect on estimating fish position in small streams. Researchers should be aware that error in the longitudinal direction will translate into larger errors in the lateral position. Further exploration of positional accuracy using this active tracking approach is recommended for larger and deeper fluvial systems. More... »
PAGES6
http://scigraph.springernature.com/pub.10.1186/s40317-019-0168-4
DOIhttp://dx.doi.org/10.1186/s40317-019-0168-4
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1113007460
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0909",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Geomatic Engineering",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Engineering",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Carleton University",
"id": "https://www.grid.ac/institutes/grid.34428.39",
"name": [
"Fish Ecology and Conservation Physiology Laboratory, Department of Biology and Institute of Environmental and Interdisciplinary Science, Carleton University, Ottawa, ON, Canada"
],
"type": "Organization"
},
"familyName": "Sullivan",
"givenName": "Brittany G.",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Carleton University",
"id": "https://www.grid.ac/institutes/grid.34428.39",
"name": [
"Fish Ecology and Conservation Physiology Laboratory, Department of Biology and Institute of Environmental and Interdisciplinary Science, Carleton University, Ottawa, ON, Canada"
],
"type": "Organization"
},
"familyName": "Clarke",
"givenName": "Shannon H.",
"type": "Person"
},
{
"affiliation": {
"name": [
"Parks Canada Agency, Banff National Park, Banff, AB, Canada"
],
"type": "Organization"
},
"familyName": "Struthers",
"givenName": "Daniel P.",
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Alberta",
"id": "https://www.grid.ac/institutes/grid.17089.37",
"name": [
"Parks Canada Agency, Banff National Park, Banff, AB, Canada",
"Department of Renewable Resources, University of Alberta, Edmonton, AB, Canada"
],
"type": "Organization"
},
"familyName": "Taylor",
"givenName": "Mark K.",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Carleton University",
"id": "https://www.grid.ac/institutes/grid.34428.39",
"name": [
"Fish Ecology and Conservation Physiology Laboratory, Department of Biology and Institute of Environmental and Interdisciplinary Science, Carleton University, Ottawa, ON, Canada"
],
"type": "Organization"
},
"familyName": "Cooke",
"givenName": "Steven J.",
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1111/j.1365-2427.2010.02459.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000105804"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-2427.2010.02459.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000105804"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/02705060.1998.9663618",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003667312"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/00288330.1993.9516563",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006310084"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1046/j.1467-2979.2000.00028.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012549674"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/eco.1429",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013686516"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/jfb.12334",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015140868"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/(sici)1099-1646(200003/04)16:2<189::aid-rrr570>3.0.co;2-n",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018442214"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1095-8649.1999.tb00859.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022651571"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1095-8649.1999.tb00859.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022651571"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/2050-3385-1-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027433735",
"https://doi.org/10.1186/2050-3385-1-5"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1139/f77-189",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1031488540"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1577/1548-8659(2000)129<1160:mposrc>2.0.co;2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034341159"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1139/f96-054",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053310764"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1577/1548-8675(2002)022<1301:iododd>2.0.co;2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1068059718"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1577/1548-8675(2002)022<1301:iododd>2.0.co;2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1068059718"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1577/m02-102",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1068060632"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1577/m02-102",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1068060632"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1577/m06-146.1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1068061175"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.fishres.2018.05.019",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1104285821"
],
"type": "CreativeWork"
}
],
"datePublished": "2019-12",
"datePublishedReg": "2019-12-01",
"description": "Manual tracking has been used since the 1970s as an effective radio telemetry approach for evaluating habitat use of fish in fluvial systems. Radio tags are often located by continually reducing the gain when approaching the tag along a watercourse to estimate its location, termed here as the \u2018Gain Reduction Method\u2019. However, to our knowledge the accuracy of this method has not been empirically evaluated and reported in the literature. Here, the longitudinal and lateral positional errors of radio tags are assessed when applying the Gain Reduction Method in a small stream environment. Longitudinal and lateral positional errors (i.e. the difference between the estimated and actual radio tag location) were evaluated based on the distance from the actual tag position, the gain recorded when estimating the tag position and a number of environmental parameters (i.e. stream depth, velocity, stream width and specific conductivity). The manual tracking trials produced an average lateral positional error of 0.91 m (\u00b1 1.4) and a longitudinal positional error of 0.66 m (\u00b1 0.87). A larger degree of longitudinal positional error was documented when the gain was higher (t = 2.21, p < 0.05). Larger lateral positional error was recorded when the tag was farther across the stream (t = 2.27, p < 0.01) and due to greater inaccuracy in longitudinal positioning (t = 3.2, p = 0.001). In addition, greater rates of lateral positional error were found when specific conductivity levels were higher (t = 2, p < 0.05). Longitudinal and lateral positional errors were not influenced by stream width (m), depth (m) or velocity (m/s). Although the Gain Reduction Method is commonly used to estimate habitat use of stream fishes, there appears to be a paucity of information in the literature that addresses the accuracy for obtaining fine-scale positioning of tagged fishes. This study is aimed to address this knowledge gap by identifying sources of locational error with the Gain Reduction Method. Overall, habitat variables were deemed to be unlikely to have a significant effect on estimating fish position in small streams. Researchers should be aware that error in the longitudinal direction will translate into larger errors in the lateral position. Further exploration of positional accuracy using this active tracking approach is recommended for larger and deeper fluvial systems.",
"genre": "research_article",
"id": "sg:pub.10.1186/s40317-019-0168-4",
"inLanguage": [
"en"
],
"isAccessibleForFree": true,
"isPartOf": [
{
"id": "sg:journal.1051155",
"issn": [
"2050-3385"
],
"name": "Animal Biotelemetry",
"type": "Periodical"
},
{
"issueNumber": "1",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "7"
}
],
"name": "The Gain Reduction Method for manual tracking of radio-tagged fish in streams",
"pagination": "6",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"764ad5d16620a73c0e11775c9096e1fdc4b5ed223b5bdab24c274451443d2bb3"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1186/s40317-019-0168-4"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1113007460"
]
}
],
"sameAs": [
"https://doi.org/10.1186/s40317-019-0168-4",
"https://app.dimensions.ai/details/publication/pub.1113007460"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T13:09",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000367_0000000367/records_88233_00000001.jsonl",
"type": "ScholarlyArticle",
"url": "https://link.springer.com/10.1186%2Fs40317-019-0168-4"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s40317-019-0168-4'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s40317-019-0168-4'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s40317-019-0168-4'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s40317-019-0168-4'
This table displays all metadata directly associated to this object as RDF triples.
138 TRIPLES
21 PREDICATES
43 URIs
19 LITERALS
7 BLANK NODES