Influence of Temperature on Age-Stage, Two-Sex Life Tables for a Minnesota-Acclimated Population of the Brown Marmorated Stink Bug (Halyomorpha halys)

Abstract

Temperature is a critical single factor influencing insect population dynamics, and is foundational for improving our understanding of the phenology of invasive species adapting to new agroecosystems or in the process of range expansion. An age-stage, two-sex life table was therefore developed to analyze fundamental demographic features such as development, survival, and reproduction of a Minnesota-acclimated population of the invasive brown marmorated stink bug (Halyomorpha halys), in the north central USA. All salient life history parameters were estimated to better understand the population growth potential of H. halys at the current limit of its northern range in North America. We examined the effect of selected constant temperatures on immature development and survival (15–39 °C), adult reproduction and longevity (17–36 °C) of H. halys in the laboratory. The Minnesota population developed faster and survived at higher rates relative to a population that had previously established in Pennsylvania, USA. Mean generation time for the Minnesota population was minimized at 30 °C, while survival and fecundity were maximized at 27 and 23 °C, respectively. Given these findings, we assessed the effect of temperature on the intrinsic rate of increase ( r m ), the life table parameter that integrates the effects of temperature on development, survival, and reproduction. A Ratkowsky model predicted r m was maximized (0.0899) at 27.5 °C. We discuss the implications of our findings for understanding population growth rates for H. halys in the context of a warming climate, and potential to emerge as a serious crop pest in the Midwest U.S. region.

Low‐temperature tolerance in coprophagic beetle species (Coleoptera: Scarabaeidae): implications for ecological services

“…Empirical evidence exists that these anomalies will increase with climate change, albeit more for heat waves (Timmermann et al, 1999;Easterling et al, 2000) than cold waves (but see Wang et al, 2010;Adriaan & Fitchett, 2021). Several empirical studies have, nevertheless, shown that low temperatures can affect species population phenology and fitness (Angilleta, 2009;Denlinger & Lee, 2010;Ma et al, 2017;Govindan et al, 2020), and are a major constraint to organismal function and ecological services through limiting insect activity (Denlinger & Lee, 2010). Given the historical, current, and projected climate change trajectories associated with extreme events (see Kodra et al, 2011;Jury, 2013;LTAS, 2013;Peings et al, 2013;Harnik et al, 2016;Kim & Lee, 2019), although biased toward increases in mean temperatures, low-temperature events remain a critical concern because they are likely to increase in frequency or duration concurrent with increasing mean temperature (see e.g.…”

Thermal Effects on the Population Parameters and Growth of Acyrthosiphon pisum (Harris) (Hemiptera: Aphididae)

“…Their rates of development, survival, longevity and reproduction depend on biotic (e.g., host plants) and abiotic factors (e.g., temperature, humidity and photoperiod). Temperature is a notable abiotic factor that facilitates the development and fecundity of the insects [ 11 , 12 , 13 , 14 ]. Many studies have introduced temperature-dependent development models based on the developmental rates of insects at different temperatures [ 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 ].…”

High‐Resolution Climate Projections Over Minnesota for the 21st Century

“…While snow depth over the northernmost part of the state remains virtually unchanged, the simulations show significant decreases in snow depth along the Minnesota North Shore and into much of Wisconsin exceeding 12 cm. These regions include part of the U.S. National Forest system and are at risk of decreasing revenues in winter recreation as well as threats to ecosystem health from pests that may survive warmer winters (Govindan & Hutchison, 2020; Venette & Hutchison, 2021).…”

“…The present study describes a high‐resolution regional climate modeling effort over the U.S. state of Minnesota that is already providing input for various projects, including improved projections of weather extremes, management of infrastructure, industry, and water resources (Noe et al., 2019) as well as the tracking of invasive species (Govindan & Hutchison, 2020; Venette & Hutchison, 2021). This state‐level downscaling effort links climate projections to decision‐making within regional communities.…”