Item talk:Q236196
From geokb
{
"USGS Publications Warehouse": { "@context": "https://schema.org", "@type": "Article", "additionalType": "Journal Article", "name": "Seasonal weather patterns drive population vital rates and persistence in a stream fish", "identifier": [ { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "70215053", "url": "https://pubs.usgs.gov/publication/70215053" }, { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 70215053 }, { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1111/gcb.12837", "url": "https://doi.org/10.1111/gcb.12837" } ], "journal": { "@type": "Periodical", "name": "Global Change Biology", "volumeNumber": "21", "issueNumber": "5" }, "inLanguage": "en", "isPartOf": [ { "@type": "CreativeWorkSeries", "name": "Global Change Biology" } ], "datePublished": "2014", "dateModified": "2020-10-06", "abstract": "Climate change affects seasonal weather patterns, but little is known about the relative importance of seasonal weather patterns on animal population vital rates. Even when such information exists, data are typically only available from intensive fieldwork (e.g., mark\u2013recapture studies) at a limited spatial extent. Here, we investigated effects of seasonal air temperature and precipitation (fall, winter, and spring) on survival and recruitment of brook trout (Salvelinus fontinalis) at a broad spatial scale using a novel stage\u2010structured population model. The data were a 15\u2010year record of brook trout abundance from 72 sites distributed across a 170\u2010km\u2010long mountain range in Shenandoah National Park, Virginia, USA. Population vital rates responded differently to weather and site\u2010specific conditions. Specifically, young\u2010of\u2010year survival was most strongly affected by spring temperature, adult survival by elevation and per\u2010capita recruitment by winter precipitation. Low fall precipitation and high winter precipitation, the latter of which is predicted to increase under climate change for the study region, had the strongest negative effects on trout populations. Simulations show that trout abundance could be greatly reduced under constant high winter precipitation, consistent with the expected effects of gravel\u2010scouring flows on eggs and newly hatched individuals. However, high\u2010elevation sites would be less vulnerable to local extinction because they supported higher adult survival. Furthermore, the majority of brook trout populations are projected to persist if high winter precipitation occurs only intermittently (\u22643 of 5\u00a0years) due to density\u2010dependent recruitment. Variable drivers of vital rates should be commonly found in animal populations characterized by ontogenetic changes in habitat, and such stage\u2010structured effects may increase population persistence to changing climate by not affecting all life stages simultaneously. Yet, our results also demonstrate that weather patterns during seemingly less consequential seasons (e.g., winter precipitation) can have major impacts on animal population dynamics.", "description": "15 p.", "publisher": { "@type": "Organization", "name": "Wiley-Blackwell" }, "author": [ { "@type": "Person", "name": "Letcher, Benjamin", "givenName": "Benjamin", "familyName": "Letcher", "affiliation": [ { "@type": "Organization", "name": "Leetown Science Center", "url": "https://www.usgs.gov/centers/eesc" } ] }, { "@type": "Person", "name": "Kanno, Yoichiro ykanno@usgs.gov", "givenName": "Yoichiro", "familyName": "Kanno", "email": "ykanno@usgs.gov" }, { "@type": "Person", "name": "Hitt, Nathaniel P. nhitt@usgs.gov", "givenName": "Nathaniel P.", "familyName": "Hitt", "email": "nhitt@usgs.gov", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0002-1046-4568", "url": "https://orcid.org/0000-0002-1046-4568" }, "affiliation": [ { "@type": "Organization", "name": "Leetown Science Center", "url": "https://www.usgs.gov/centers/eesc" } ] }, { "@type": "Person", "name": "Boughton, David A.", "givenName": "David A.", "familyName": "Boughton" }, { "@type": "Person", "name": "Wofford, John E. B.", "givenName": "John E. B.", "familyName": "Wofford" }, { "@type": "Person", "name": "Zipkin, Elise ezipkin@usgs.gov", "givenName": "Elise", "familyName": "Zipkin", "email": "ezipkin@usgs.gov" } ], "funder": [ { "@type": "Organization", "name": "Leetown Science Center", "url": "https://www.usgs.gov/centers/eesc" }, { "@type": "Organization", "name": "John Wesley Powell Center for Analysis and Synthesis", "url": "https://www.usgs.gov/centers/john-wesley-powell-center-for-analysis-and-synthesis" } ], "spatialCoverage": [ { "@type": "Place", "additionalType": "country", "name": "United States", "url": "https://geonames.org/4074035" }, { "@type": "Place", "additionalType": "state", "name": "Virginia" }, { "@type": "Place", "additionalType": "unknown", "name": "Shenandoah National Park" }, { "@type": "Place", "geo": [ { "@type": "GeoShape", "additionalProperty": { "@type": "PropertyValue", "name": "GeoJSON", "value": { "type": "FeatureCollection", "features": [ { "type": "Feature", "properties": {}, "geometry": { "type": "Polygon", "coordinates": [ [ [ -79.9200439453125, 37.26530995561875 ], [ -79.310302734375, 37.54022177661216 ], [ -78.519287109375, 38.1777509666256 ], [ -78.1402587890625, 38.724090458956965 ], [ -78.2061767578125, 38.997841307500714 ], [ -78.387451171875, 39.0533181067413 ], [ -78.59069824218749, 38.7283759182398 ], [ -78.81591796875, 38.37611542403604 ], [ -79.6783447265625, 37.70120736474139 ], [ -79.969482421875, 37.45741810262938 ], [ -79.9200439453125, 37.26530995561875 ] ] ] } } ] } } }, { "@type": "GeoCoordinates", "latitude": 38.11971214168712, "longitude": -78.95160645628604 } ] } ] }, "OpenAlex": { "abstract_inverted_index": { "Abstract": [ 0 ], "Climate": [ 1 ], "change": [ 2, 154 ], "affects": [ 3 ], "seasonal": [ 4, 16, 50 ], "weather": [ 5, 17, 113, 279 ], "patterns,": [ 6 ], "but": [ 7 ], "little": [ 8 ], "is": [ 9, 148 ], "known": [ 10 ], "about": [ 11 ], "the": [ 12, 144, 156, 160, 183, 212 ], "relative": [ 13 ], "importance": [ 14 ], "of": [ 15, 49, 63, 87, 146, 186, 214, 230, 239 ], "patterns": [ 18, 280 ], "on": [ 19, 59, 164, 189, 293 ], "animal": [ 20, 247, 294 ], "population": [ 21, 79, 261, 295 ], "vital": [ 22, 108, 240 ], "rates.": [ 23 ], "Even": [ 24 ], "when": [ 25 ], "such": [ 26, 256 ], "information": [ 27 ], "exists,": [ 28 ], "data": [ 29, 82 ], "are": [ 30, 218 ], "typically": [ 31 ], "only": [ 32, 227 ], "available": [ 33 ], "from": [ 34, 91 ], "intensive": [ 35 ], "fieldwork": [ 36 ], "(e.g.,": [ 37, 286 ], "mark\u2013recapture": [ 38 ], "studies)": [ 39 ], "at": [ 40, 70 ], "a": [ 41, 71, 76, 84, 96 ], "limited": [ 42 ], "spatial": [ 43, 73 ], "extent.": [ 44 ], "Here,": [ 45 ], "we": [ 46 ], "investigated": [ 47 ], "effects": [ 48, 163, 185, 258 ], "air": [ 51 ], "temperature": [ 52 ], "and": [ 53, 57, 61, 114, 131, 140, 191, 255 ], "precipitation": [ 54, 139, 225 ], "(fall,": [ 55 ], "winter,": [ 56 ], "spring)": [ 58 ], "survival": [ 60, 119, 128 ], "recruitment": [ 62, 133 ], "brook": [ 64, 88, 215 ], "trout": [ 65, 89, 165, 170, 216 ], "(": [ 66 ], "Salvelinus": [ 67 ], "fontinalis": [ 68 ], ")": [ 69 ], "broad": [ 72 ], "scale": [ 74 ], "using": [ 75 ], "novel": [ 77 ], "stage\u2010structured": [ 78, 257 ], "model.": [ 80 ], "The": [ 81 ], "were": [ 83 ], "15\u2010year": [ 85 ], "record": [ 86 ], "abundance": [ 90, 171 ], "72": [ 92 ], "sites": [ 93, 197 ], "distributed": [ 94 ], "across": [ 95 ], "170\u2010km\u2010long": [ 97 ], "mountain": [ 98 ], "range": [ 99 ], "in": [ 100, 246, 253 ], "Shenandoah": [ 101 ], "National": [ 102 ], "Park,": [ 103 ], "Virginia,": [ 104 ], "USA": [ 105 ], ".": [ 106 ], "Population": [ 107 ], "rates": [ 109, 241 ], "responded": [ 110 ], "differently": [ 111 ], "to": [ 112, 150, 202, 220, 234, 263 ], "site\u2010specific": [ 115 ], "conditions.": [ 116 ], "Specifically,": [ 117 ], "young\u2010of\u2010year": [ 118 ], "was": [ 120 ], "most": [ 121 ], "strongly": [ 122 ], "affected": [ 123 ], "by": [ 124, 129, 134, 250, 266 ], "spring": [ 125 ], "temperature,": [ 126 ], "adult": [ 127, 209 ], "elevation": [ 130 ], "per\u2010capita": [ 132 ], "winter": [ 135, 142, 179, 224, 287 ], "precipitation.": [ 136 ], "Low": [ 137 ], "fall": [ 138 ], "high": [ 141, 178, 223 ], "precipitation,": [ 143, 180 ], "latter": [ 145 ], "which": [ 147 ], "predicted": [ 149 ], "increase": [ 151, 260 ], "under": [ 152, 176 ], "climate": [ 153, 265 ], "for": [ 155 ], "study": [ 157 ], "region,": [ 158 ], "had": [ 159 ], "strongest": [ 161 ], "negative": [ 162 ], "populations.": [ 166 ], "Simulations": [ 167 ], "show": [ 168 ], "that": [ 169, 278 ], "could": [ 172 ], "be": [ 173, 199, 243 ], "greatly": [ 174 ], "reduced": [ 175 ], "constant": [ 177 ], "consistent": [ 181 ], "with": [ 182 ], "expected": [ 184 ], "gravel\u2010scouring": [ 187 ], "flows": [ 188 ], "eggs": [ 190 ], "newly": [ 192 ], "hatched": [ 193 ], "individuals.": [ 194 ], "However,": [ 195 ], "high\u2010elevation": [ 196 ], "would": [ 198 ], "less": [ 200, 283 ], "vulnerable": [ 201 ], "local": [ 203 ], "extinction": [ 204 ], "because": [ 205 ], "they": [ 206 ], "supported": [ 207 ], "higher": [ 208 ], "survival.": [ 210 ], "Furthermore,": [ 211 ], "majority": [ 213 ], "populations": [ 217, 248 ], "projected": [ 219 ], "persist": [ 221 ], "if": [ 222 ], "occurs": [ 226 ], "intermittently": [ 228 ], "(\u22643": [ 229 ], "5": [ 231 ], "years)": [ 232 ], "due": [ 233 ], "density\u2010dependent": [ 235 ], "recruitment.": [ 236 ], "Variable": [ 237 ], "drivers": [ 238 ], "should": [ 242 ], "commonly": [ 244 ], "found": [ 245 ], "characterized": [ 249 ], "ontogenetic": [ 251 ], "changes": [ 252 ], "habitat,": [ 254 ], "may": [ 259 ], "persistence": [ 262 ], "changing": [ 264 ], "not": [ 267 ], "affecting": [ 268 ], "all": [ 269 ], "life": [ 270 ], "stages": [ 271 ], "simultaneously.": [ 272 ], "Yet,": [ 273 ], "our": [ 274 ], "results": [ 275 ], "also": [ 276 ], "demonstrate": [ 277 ], "during": [ 281 ], "seemingly": [ 282 ], "consequential": [ 284 ], "seasons": [ 285 ], "precipitation)": [ 288 ], "can": [ 289 ], "have": [ 290 ], "major": [ 291 ], "impacts": [ 292 ], "dynamics.": [ 296 ] }, "apc_list": { "value": 4120, "currency": "USD", "value_usd": 4120, "provenance": "doaj" }, "apc_paid": null, "authorships": [ { "author_position": "first", "author": { "id": "https://openalex.org/A5002523308", "display_name": "Yoichiro Kanno", "orcid": "https://orcid.org/0000-0001-8452-5100" }, "institutions": [ { "id": "https://openalex.org/I8078737", "display_name": "Clemson University", "ror": "https://ror.org/037s24f05", "country_code": "US", "type": "education", "lineage": [ "https://openalex.org/I8078737" ] } ], "countries": [ "US" ], "is_corresponding": true, "raw_author_name": "Yoichiro Kanno", "raw_affiliation_strings": [ "Department of Forestry and Environmental Conservation, Clemson University, 261 Lehotsky Hall, Clemson, SC 29634, USA" ], "affiliations": [ { "raw_affiliation_string": "Department of Forestry and Environmental Conservation, Clemson University, 261 Lehotsky 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