Item talk:Q239695
From geokb
{
"USGS Publications Warehouse": { "@context": "https://schema.org", "@type": "Article", "additionalType": "Journal Article", "name": "Population genetics and demography unite ecology and evolution", "identifier": [ { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "70192403", "url": "https://pubs.usgs.gov/publication/70192403" }, { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 70192403 }, { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1016/j.tree.2016.12.002", "url": "https://doi.org/10.1016/j.tree.2016.12.002" } ], "journal": { "@type": "Periodical", "name": "Trends in Ecology and Evolution", "volumeNumber": "32", "issueNumber": "2" }, "inLanguage": "en", "isPartOf": [ { "@type": "CreativeWorkSeries", "name": "Trends in Ecology and Evolution" } ], "datePublished": "2017", "dateModified": "2018-03-26", "abstract": "The interplay of ecology and evolution has been a rich area of research for decades. A surge of interest in this area was catalyzed by the observation that evolution by natural selection can operate at the same contemporary timescales as ecological dynamics. Specifically, recent eco-evolutionary research focuses on how rapid adaptation influences ecology, and vice versa. Evolution by non-adaptive forces also occurs quickly, with ecological consequences, but understanding the full scope of ecology\u2013evolution (eco\u2013evo) interactions requires explicitly addressing population-level processes \u2013 genetic and demographic. We show the strong ecological effects of non-adaptive evolutionary forces and, more broadly, the value of population-level research for gaining a mechanistic understanding of eco\u2013evo interactions. 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"Organization", "name": "Division of Biological Sciences, University of Montana, Missoula, MT" } ] } ], "funder": [ { "@type": "Organization", "name": "Northern Rocky Mountain Science Center", "url": "https://www.usgs.gov/centers/norock" } ] }, "OpenAlex": { "abstract_inverted_index": { "Eco\u2013evo": [ 0 ], "interactions": [ 1, 155, 279 ], "are": [ 2, 359, 478, 615 ], "mediated": [ 3 ], "by": [ 4, 105, 110, 138, 229, 234, 262, 361, 464, 524 ], "population": [ 5, 17, 347, 350, 414, 431, 453, 457, 476, 509, 533, 545, 561, 627 ], "genetics": [ 6, 20, 458 ], "and": [ 7, 38, 50, 65, 76, 85, 134, 163, 209, 258, 287, 373, 400, 493, 557, 588, 620 ], "demography,": [ 8 ], "but": [ 9, 147, 271 ], "current": [ 10 ], "research": [ 11, 57, 93, 126, 182, 195, 217, 250, 306, 319 ], "often": [ 12 ], "fails": [ 13 ], "to": [ 14, 198, 322, 443, 454, 487, 500 ], "consider": [ 15 ], "this": [ 16, 101, 225 ], "context.": [ 18 ], "Population": [ 19 ], "theory": [ 21 ], "provides": [ 22 ], "a": [ 23, 89, 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