Item talk:Q234717
From geokb
{
"USGS Publications Warehouse": { "@context": "https://schema.org", "@type": "Article", "additionalType": "Journal Article", "name": "Non-lethal assessment of freshwater mussel physiological response to changes in environmental factors", "identifier": [ { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "70173593", "url": "https://pubs.usgs.gov/publication/70173593" }, { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 70173593 }, { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1139/cjfas-2014-0565", "url": "https://doi.org/10.1139/cjfas-2014-0565" } ], "journal": { "@type": "Periodical", "name": "Canadian Journal of Fisheries and Aquatic Sciences", "volumeNumber": "72", "issueNumber": "10" }, "inLanguage": "en", "isPartOf": [ { "@type": "CreativeWorkSeries", "name": "Canadian Journal of Fisheries and Aquatic Sciences" } ], "datePublished": "2015", "dateModified": "2016-06-13", "abstract": "The development of effective nonlethal biomonitoring techniques is imperative for the preservation of imperiled freshwater mussel populations. Changes in hemolymph chemistry profiles and tissue glycogen are potential biomarkers for nonlethally monitoring stress in mussels. We sampled three species in the Flint River Basin over 2 years to evaluate how these hemolymph and tissue biomarkers responded to environmental changes. We used hierarchical linear models to evaluate the relationships between variation in the biomarkers and environmental factors and found that the responses of the hemolymph and tissue parameters were strongly related to stream discharge. Shifts in alanine aminotransferase and glycogen showed the largest relations with discharge at the time of sampling, while magnesium levels were most explained by the discharge for 5 days prior to sampling. Aspartate aminotransferase, bicarbonate, and calcium showed the strongest relations with mean discharge for 15 days prior to sampling. The modeling results indicated that biomarker responses varied substantially among individuals of different size, sex, and species and illustrated the value of hierarchical modeling techniques to account for the inherent complexity of aquatic ecosystems.", "description": "9 p.", "publisher": { "@type": "Organization", "name": "NRC Research Press" }, "author": [ { "@type": "Person", "name": "Fritts, Andrea K.", "givenName": "Andrea K.", "familyName": "Fritts" }, { "@type": "Person", "name": "Wisniewski, Jason M.", "givenName": "Jason M.", "familyName": "Wisniewski" }, { "@type": "Person", "name": "Bringolf, Robert B.", "givenName": "Robert B.", "familyName": "Bringolf" }, { "@type": "Person", "name": "Peterson, James james_peterson@usgs.gov", "givenName": "James", "familyName": "Peterson", "email": "james_peterson@usgs.gov", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0002-7709-8590", "url": "https://orcid.org/0000-0002-7709-8590" }, "affiliation": [ { "@type": "Organization", "name": "Coop Res Unit Seattle", "url": "https://www1.usgs.gov/coopunits/unit/Washington" } ] } ], "funder": [ { "@type": "Organization", "name": "Coop Res Unit Seattle", "url": "https://www1.usgs.gov/coopunits/unit/Washington" } ] }, "OpenAlex": { "abstract_inverted_index": { "The": [ 0, 142 ], "development": [ 1 ], "of": [ 2, 12, 80, 107, 153, 163, 173 ], "effective": [ 3 ], "nonlethal": [ 4 ], "biomonitoring": [ 5 ], "techniques": [ 6, 166 ], "is": [ 7 ], "imperative": [ 8 ], "for": [ 9, 28, 118, 136, 169 ], "the": [ 10, 39, 65, 70, 78, 81, 99, 105, 116, 130, 161, 170 ], "preservation": [ 11 ], "imperiled": [ 13 ], "freshwater": [ 14 ], "mussel": [ 15 ], "populations.": [ 16 ], "Changes": [ 17 ], "in": [ 18, 32, 38, 69, 93 ], "hemolymph": [ 19, 50, 82 ], "chemistry": [ 20 ], "profiles": [ 21 ], "and": [ 22, 51, 72, 75, 83, 96, 127, 157, 159 ], "tissue": [ 23, 52, 84 ], "glycogen": [ 24, 97 ], "are": [ 25 ], "potential": [ 26 ], "biomarkers": [ 27, 53, 71 ], "nonlethally": [ 29 ], "monitoring": [ 30 ], "stress": [ 31 ], "mussels.": [ 33 ], "We": [ 34, 58 ], "sampled": [ 35 ], "three": [ 36 ], "species": [ 37, 158 ], "Flint": [ 40 ], "River": [ 41 ], "Basin": [ 42 ], "over": [ 43 ], "2": [ 44 ], "years": [ 45 ], "to": [ 46, 55, 63, 89, 122, 140, 167 ], "evaluate": [ 47, 64 ], "how": [ 48 ], "these": [ 49 ], "responded": [ 54 ], "environmental": [ 56, 73 ], "changes.": [ 57 ], "used": [ 59 ], "hierarchical": [ 60, 164 ], "linear": [ 61 ], "models": [ 62 ], "relationships": [ 66 ], "between": [ 67 ], "variation": [ 68 ], "factors": [ 74 ], "found": [ 76 ], "that": [ 77, 146 ], "responses": [ 79, 148 ], "parameters": [ 85 ], "were": [ 86, 112 ], "strongly": [ 87 ], "related": [ 88 ], "stream": [ 90 ], "discharge.": [ 91 ], "Shifts": [ 92 ], "alanine": [ 94 ], "aminotransferase": [ 95 ], "showed": [ 98, 129 ], "largest": [ 100 ], "relations": [ 101, 132 ], "with": [ 102, 133 ], "discharge": [ 103, 117, 135 ], "at": [ 104 ], "time": [ 106 ], "sampling,": [ 108 ], "while": [ 109 ], "magnesium": [ 110 ], "levels": [ 111 ], "most": [ 113 ], "explained": [ 114 ], "by": [ 115 ], "5": [ 119 ], "days": [ 120, 138 ], "prior": [ 121, 139 ], "sampling.": [ 123, 141 ], "Aspartate": [ 124 ], "aminotransferase,": [ 125 ], "bicarbonate,": [ 126 ], "calcium": [ 128 ], "strongest": [ 131 ], "mean": [ 134 ], "15": [ 137 ], "modeling": [ 143, 165 ], "results": [ 144 ], "indicated": [ 145 ], "biomarker": [ 147 ], "varied": [ 149 ], "substantially": [ 150 ], "among": [ 151 ], "individuals": [ 152 ], "different": [ 154 ], "size,": [ 155 ], "sex,": [ 156 ], "illustrated": [ 160 ], "value": [ 162 ], "account": [ 168 ], "inherent": [ 171 ], "complexity": [ 172 ], "aquatic": [ 174 ], "ecosystems.": [ 175 ] }, "apc_list": null, "apc_paid": null, "authorships": [ { "author_position": "first", "author": { "id": "https://openalex.org/A5086938725", "display_name": "Andrea K. 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