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The autecology, or physiological optima and tolerance, of algal species for various water-quality contaminants and conditions is relatively well understood for certain groups of freshwater algae, notably diatoms. However, applications of autecological information for water-quality assessments have been limited because of challenges associated with compiling autecological literature from disparate sources, tracking name changes for a large number of algal species, and creating an autecological data base from which algal-indicator metrics can be calculated. A comprehensive summary of algal autecological attributes for North American streams and rivers does not exist. This report describes a large, digital data file containing 28,182 records for 5,939 algal taxa, generally species or variety, collected by the U.S. Geological Survey?s National Water-Quality Assessment (NAWQA) Program. The data file includes 37 algal attributes classified by over 100 algal-indicator codes or metrics that can be calculated easily with readily available software. Algal attributes include qualitative classifications based on European and North American autecological literature, and semi-quantitative, weighted-average regression approaches for estimating optima using regional and national NAWQA data. Applications of algal metrics in water-quality assessments are discussed and national quartile distributions of metric scores are shown for selected indicator metrics.", "description": "Report: iv, 18 p.; Data Files", "publisher": { "@type": "Organization", "name": "Geological Survey (U.S.)" }, "author": [ { "@type": "Person", "name": "Porter, Stephen D.", "givenName": "Stephen D.", "familyName": "Porter" } ], "funder": [ { "@type": "Organization", "name": "U.S. Geological Survey", "url": "https://www.usgs.gov/" } ] } }, "OpenAlex": { "abstract_inverted_index": { "Algae": [ 0 ], "are": [ 1, 14, 205, 214 ], "excellent": [ 2 ], "indicators": [ 3, 15 ], "of": [ 4, 16, 35, 51, 58, 68, 85, 104, 199, 211 ], "water-quality": [ 5, 40, 62, 203 ], "conditions,": [ 6 ], "notably": [ 7, 54 ], "nutrient": [ 8 ], "and": [ 9, 12, 21, 24, 33, 42, 88, 112, 179, 184, 194, 207 ], "organic": [ 10 ], "enrichment,": [ 11 ], "also": [ 13 ], "major": [ 17 ], "ion,": [ 18 ], "dissolved": [ 19 ], "oxygen,": [ 20 ], "pH": [ 22 ], "concentrations": [ 23 ], "stream": [ 25 ], "microhabitat": [ 26 ], "conditions.": [ 27 ], "The": [ 28, 147 ], "autecology,": [ 29 ], "or": [ 30, 134, 160 ], "physiological": [ 31 ], "optima": [ 32, 191 ], "tolerance,": [ 34 ], "algal": [ 36, 86, 105, 130, 152, 200 ], "species": [ 37, 133 ], "for": [ 38, 48, 61, 81, 108, 128, 189, 216 ], "various": [ 39 ], "contaminants": [ 41 ], "conditions": [ 43 ], "is": [ 44 ], "relatively": [ 45 ], "well": [ 46 ], "understood": [ 47 ], "certain": [ 49 ], "groups": [ 50 ], "freshwater": [ 52 ], "algae,": [ 53 ], "diatoms.": [ 55 ], "However,": [ 56 ], "applications": [ 57 ], "autecological": [ 59, 73, 91, 106, 182 ], "information": [ 60 ], "assessments": [ 63, 204 ], "have": [ 64 ], "been": [ 65 ], "limited": [ 66 ], "because": [ 67 ], "challenges": [ 69 ], "associated": [ 70 ], "with": [ 71, 167 ], "compiling": [ 72 ], "literature": [ 74 ], "from": [ 75, 94 ], "disparate": [ 76 ], "sources,": [ 77 ], "tracking": [ 78 ], "name": [ 79 ], "changes": [ 80 ], "a": [ 82, 120 ], "large": [ 83 ], "number": [ 84 ], "species,": [ 87 ], "creating": [ 89 ], "an": [ 90 ], "data": [ 92, 123, 148 ], "base": [ 93 ], "which": [ 95 ], "algal-indicator": [ 96, 158 ], "metrics": [ 97, 161, 201 ], "can": [ 98, 163 ], "be": [ 99, 164 ], "calculated.": [ 100 ], "A": [ 101 ], "comprehensive": [ 102 ], "summary": [ 103 ], "attributes": [ 107, 153, 172 ], "North": [ 109, 180 ], "American": [ 110, 181 ], "streams": [ 111 ], "rivers": [ 113 ], "does": [ 114 ], "not": [ 115 ], "exist.": [ 116 ], "This": [ 117 ], "report": [ 118 ], "describes": [ 119 ], "large,": [ 121 ], "digital": [ 122 ], "file": [ 124, 149 ], "containing": [ 125 ], "28,182": [ 126 ], "records": [ 127 ], "5,939": [ 129 ], "taxa,": [ 131 ], "generally": [ 132 ], "variety,": [ 135 ], "collected": [ 136 ], "by": [ 137, 155 ], "the": [ 138 ], "U.S.": [ 139 ], "Geological": [ 140 ], "Survey?s": [ 141 ], "National": [ 142 ], "Water-Quality": [ 143 ], "Assessment": [ 144 ], "(NAWQA)": [ 145 ], "Program.": [ 146 ], "includes": [ 150 ], "37": [ 151 ], "classified": [ 154 ], "over": [ 156 ], "100": [ 157 ], "codes": [ 159 ], "that": [ 162 ], "calculated": [ 165 ], "easily": [ 166 ], "readily": [ 168 ], "available": [ 169 ], "software.": [ 170 ], "Algal": [ 171 ], "include": [ 173 ], "qualitative": [ 174 ], "classifications": [ 175 ], "based": [ 176 ], "on": [ 177 ], "European": [ 178 ], "literature,": [ 183 ], "semi-quantitative,": [ 185 ], "weighted-average": [ 186 ], "regression": [ 187 ], "approaches": [ 188 ], "estimating": [ 190 ], "using": [ 192 ], "regional": [ 193 ], "national": [ 195, 208 ], "NAWQA": [ 196 ], "data.": [ 197 ], "Applications": [ 198 ], "in": [ 202 ], "discussed": [ 206 ], "quartile": [ 209 ], "distributions": [ 210 ], "metric": [ 212 ], "scores": [ 213 ], "shown": [ 215 ], "selected": [ 217 ], "indicator": [ 218 ], "metrics.": [ 219 ] }, "apc_list": null, "apc_paid": null, "authorships": [ { "author_position": "first", "author": { "id": "https://openalex.org/A5090004344", "display_name": "Stephen D. 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