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Invasive pests are of special importance, and knowledge about their distribution and abundance is fundamental to minimize economic losses and prioritize management activities. Occurrence models are a common tool used to identify suitable zones and map priority areas (i.e., risk maps) for noxious species management, although they provide a simplified description of species dynamics (i.e., no indication on species density). An alternative is to use abundance models, but translating abundance data into risk maps is often challenging. Here, we describe a general framework for generating abundance\u2010based risk maps using multi\u2010year pest data. We used an extensive data set of 3968 records collected between 2003 and 2013 in Wisconsin during annual surveys of soybean aphid (<jats:styled-content style=\"fixed-case\">SBA<\/jats:styled-content>), an exotic invasive pest in this region. By using an integrative approach, we modelled <jats:styled-content style=\"fixed-case\">SBA<\/jats:styled-content> responses to weather, seasonal, and habitat variability using generalized additive models (<jats:styled-content style=\"fixed-case\">GAM<\/jats:styled-content>s). Our models showed good to excellent performance in predicting <jats:styled-content style=\"fixed-case\">SBA<\/jats:styled-content> occurrence and abundance (<jats:styled-content style=\"fixed-case\">TSS<\/jats:styled-content>\u00a0=\u00a00.70, <jats:styled-content style=\"fixed-case\">AUC<\/jats:styled-content>\u00a0=\u00a00.92; <jats:italic>R<\/jats:italic><jats:sup>2<\/jats:sup>\u00a0=\u00a00.63). We found that temperature, precipitation, and growing degree days were the main drivers of <jats:styled-content style=\"fixed-case\">SBA<\/jats:styled-content> trends. In addition, a significant positive relationship between <jats:styled-content style=\"fixed-case\">SBA<\/jats:styled-content> abundance and the availability of overwintering habitats was observed. Our models showed aphid populations were also sensitive to thresholds associated with high and low temperatures, likely related to physiological tolerances of the insects. Finally, the resulting aphid predictions were integrated using a spatial prioritization algorithm (\u201cZonation\u201d) to produce an abundance\u2010based risk map for the state of Wisconsin that emphasized the spatiotemporal consistency and magnitude of past infestation patterns. This abundance\u2010based risk map can provide information on potential foci of pest outbreaks where scouting efforts and prophylactic measures should be concentrated. The approach we took is general, relatively simple, and can be applied to other species, habitats and geographical areas for which species abundance data and biotic and abiotic data are available.<\/jats:p>","DOI":"10.1002\/eap.1467","type":"journal-article","created":{"date-parts":[[2016,11,14]],"date-time":"2016-11-14T17:40:48Z","timestamp":1479145248000},"page":"575-588","source":"Crossref","is-referenced-by-count":17,"title":["From pest data to abundance\u2010based risk maps combining eco\u2010physiological knowledge, weather, and habitat variability"],"prefix":"10.1002","volume":"27","author":[{"given":"Federica","family":"Lacasella","sequence":"first","affiliation":[{"name":"Department of Entomology University of Wisconsin  Madison Wisconsin 53706 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Silvio","family":"Marta","sequence":"additional","affiliation":[{"name":"Department of Entomology University of Wisconsin  Madison Wisconsin 53706 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aditya","family":"Singh","sequence":"additional","affiliation":[{"name":"Department of Forest and Wildlife Ecology University of Wisconsin  Madison Wisconsin 53706 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaitlin","family":"Stack Whitney","sequence":"additional","affiliation":[{"name":"Department of Entomology University of Wisconsin  Madison Wisconsin 53706 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Krista","family":"Hamilton","sequence":"additional","affiliation":[{"name":"Wisconsin Department of Agriculture, Trade and Consumer Protection  Madison Wisconsin 54601 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Phil","family":"Townsend","sequence":"additional","affiliation":[{"name":"Department of Forest and Wildlife Ecology University of Wisconsin  Madison Wisconsin 53706 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christopher J.","family":"Kucharik","sequence":"additional","affiliation":[{"name":"Department of Agronomy and Nelson Institute Center for Sustainability and Global Change University of Wisconsin  Madison Wisconsin 53706 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Timothy D.","family":"Meehan","sequence":"additional","affiliation":[{"name":"Department of Entomology University of Wisconsin  Madison Wisconsin 53706 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Claudio","family":"Gratton","sequence":"additional","affiliation":[{"name":"Department of Entomology University of Wisconsin  Madison Wisconsin 53706 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2017,2,24]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2664.2006.01214.x"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2664.2010.01847.x"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2699.2006.01584.x"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1466-8238.2007.00359.x"},{"key":"e_1_2_7_6_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2664.2006.01164.x"},{"key":"e_1_2_7_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecolmodel.2006.07.005"},{"key":"e_1_2_7_8_1","doi-asserted-by":"publisher","DOI":"10.1093\/ee\/37.4.973"},{"key":"e_1_2_7_9_1","doi-asserted-by":"publisher","DOI":"10.1111\/afe.12051"},{"key":"e_1_2_7_10_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1466-8238.2007.00331.x"},{"key":"e_1_2_7_11_1","unstructured":"Bivand R. andC.Rundel.2014.rgeos: interface to geometry engine\u2014open source (GEOS). 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