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Pest population dynamics are related to a continental overwintering gradient.
Lawton, Douglas; Huseth, Anders S; Kennedy, George G; Morey, Amy C; Hutchison, William D; Reisig, Dominic D; Dorman, Seth J; Dillard, DeShae; Venette, Robert C; Groves, Russell L; Adamczyk, John J; Barbosa Dos Santos, Izailda; Baute, Tracey; Brown, Sebe; Burkness, Eric; Dean, Ashley; Dively, Galen P; Doughty, Hélène B; Fleischer, Shelby J; Green, Jessica; Greene, Jeremy K; Hamilton, Krista; Hodgson, Erin; Hunt, Thomas; Kerns, David; Leonard, Billy Rogers; Malone, Sean; Musser, Fred; Owens, David; Palumbo, John C; Paula-Moraes, Silvana; Peterson, Julie A; Ramirez, Ricardo; Rondon, Silvia I; Schilder, Tracy L; Seaman, Abby; Spears, Lori; Stewart, Scott D; Taylor, Sally; Towles, Tyler; Welty, Celeste; Whalen, Joanne; Wright, Robert; Zuefle, Marion.
Afiliação
  • Lawton D; Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC 27695.
  • Huseth AS; North Carolina Plant Sciences Initiative, North Carolina State University, Raleigh, NC 27606.
  • Kennedy GG; Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC 27695.
  • Morey AC; North Carolina Plant Sciences Initiative, North Carolina State University, Raleigh, NC 27606.
  • Hutchison WD; Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC 27695.
  • Reisig DD; Department of Entomology, University of Minnesota, St. Paul, MN 55108.
  • Dorman SJ; Department of Entomology, University of Minnesota, St. Paul, MN 55108.
  • Dillard D; Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC 27695.
  • Venette RC; Forage Seed and Cereal Research Unit, Agricultural Research Service, US Department of Agriculture (USDA), Corvallis, OR 97331.
  • Groves RL; Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC 27695.
  • Adamczyk JJ; Northern Research Station, USDA Forest Service, St. Paul, MN 55108.
  • Barbosa Dos Santos I; Department of Entomology, University of Wisconsin, Madison, WI 53706.
  • Baute T; Thad Cochran Southern Horticultural Laboratory, USDA-Agricultural Research Service, Poplarville, MS 39470.
  • Brown S; West Florida Research and Education Center, University of Florida, Jay, FL 32565.
  • Burkness E; Great Lakes and Maritimes Pest Monitoring Network, Food and Rural Affairs, Ontario Ministry of Agriculture, Ridgetown, ON, N0P 2C0, Canada.
  • Dean A; Department of Entomology and Plant Pathology, University of Tennessee, Jackson, TN 38301.
  • Dively GP; Department of Entomology, University of Minnesota, St. Paul, MN 55108.
  • Doughty HB; Department of Entomology, Iowa State University, Ames, IA 50011.
  • Fleischer SJ; Department of Entomology, University of Maryland, College Park, MD 20742.
  • Green J; Eastern Shore Agricultural Research and Extension Center, Virginia Tech, Painter, VA 23420.
  • Greene JK; Department of Entomology, Pennsylvania State University, University Park, PA 16802.
  • Hamilton K; Department of Horticulture, Oregon State University, Corvallis, OR 97331.
  • Hodgson E; Department of Plant and Environmental Sciences, Clemson University, Blackville, SC 29817.
  • Hunt T; Pest Survey Program, Wisconsin Department of Agriculture, Trade and Consumer Protection, La Crosse, WI 54601.
  • Kerns D; Department of Entomology, Iowa State University, Ames, IA 50011.
  • Leonard BR; Department of Entomology, University of Nebraska-Lincoln, Lincoln, NE 68588.
  • Malone S; Department of Entomology, Texas A&M University, College Station, TX 77843.
  • Musser F; Department of Entomology, Louisiana State University Agricultural Center, Baton Rouge, LA 70803.
  • Owens D; Department of Entomology, Virginia Tech, Suffolk, VA 23437.
  • Palumbo JC; Department of Biochemistry, Molecular Biology, Entomology, and Plant Pathology, Mississippi State University, Mississippi State, MS 39762.
  • Paula-Moraes S; Carvel Research and Education Center, University of Delaware, Georgetown, DE 19947.
  • Peterson JA; Yuma Agricultural Center, University of Arizona, Yuma, AZ 85364.
  • Ramirez R; West Florida Research and Education Center, University of Florida, Jay, FL 32565.
  • Rondon SI; Department of Entomology, University of Nebraska-Lincoln, North Platte, NE 69101.
  • Schilder TL; Department of Biology, Utah State University, Logan, UT 84321.
  • Seaman A; Oregon Integrated Pest Management (IPM) Center, College of Agricultural Sciences, Oregon State University, Corvallis, OR 97333.
  • Spears L; Hermiston Agricultural Research and Extension Center, College of Agricultural Sciences, Oregon State University, Corvallis, OR 97838.
  • Stewart SD; Pest Survey Program, Wisconsin Department of Agriculture, Trade and Consumer Protection, Madison, WI 53718.
  • Taylor S; New York State IPM Program, College of Agriculture and Life Sciences, Cornell University, Geneva, NY 14456.
  • Towles T; Department of Biology, Utah State University, Logan, UT 84321.
  • Welty C; Department of Entomology and Plant Pathology, University of Tennessee, Jackson, TN 38301.
  • Whalen J; Department of Entomology, Virginia Tech, Suffolk, VA 23437.
  • Wright R; Macon Ridge Research Station, Louisiana State University, Winnsboro, LA 71295.
  • Zuefle M; Department of Entomology, Ohio State University, Columbus, OH 43210.
Proc Natl Acad Sci U S A ; 119(37): e2203230119, 2022 09 13.
Article em En | MEDLINE | ID: mdl-36067290
Overwintering success is an important determinant of arthropod populations that must be considered as climate change continues to influence the spatiotemporal population dynamics of agricultural pests. Using a long-term monitoring database and biologically relevant overwintering zones, we modeled the annual and seasonal population dynamics of a common pest, Helicoverpa zea (Boddie), based on three overwintering suitability zones throughout North America using four decades of soil temperatures: the southern range (able to persist through winter), transitional zone (uncertain overwintering survivorship), and northern limits (unable to survive winter). Our model indicates H. zea population dynamics are hierarchically structured with continental-level effects that are partitioned into three geographic zones. Seasonal populations were initially detected in the southern range, where they experienced multiple large population peaks. All three zones experienced a final peak between late July (southern range) and mid-August to mid-September (transitional zone and northern limits). The southern range expanded by 3% since 1981 and is projected to increase by twofold by 2099 but the areas of other zones are expected to decrease in the future. These changes suggest larger populations may persist at higher latitudes in the future due to reduced low-temperature lethal events during winter. Because H. zea is a highly migratory pest, predicting when populations accumulate in one region can inform synchronous or lagged population development in other regions. We show the value of combining long-term datasets, remotely sensed data, and laboratory findings to inform forecasting of insect pests.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Estações do Ano / Mudança Climática / Mariposas Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Estações do Ano / Mudança Climática / Mariposas Idioma: En Ano de publicação: 2022 Tipo de documento: Article