Literature DB >> 31833162

Developmental trap or demographic bonanza? Opposing consequences of earlier phenology in a changing climate for a multivoltine butterfly.

Natalie Z Kerr1,2, Tyson Wepprich3, Fritzi S Grevstad3, Erik B Dopman1, Frances S Chew1, Elizabeth E Crone1.   

Abstract

A rapidly changing climate has the potential to interfere with the timing of environmental cues that ectothermic organisms rely on to initiate and regulate life history events. Short-lived ectotherms that exhibit plasticity in their life history could increase the number of generations per year under warming climate. If many individuals successfully complete an additional generation, the population experiences an additional opportunity to grow, and a warming climate could lead to a demographic bonanza. However, these plastic responses could become maladaptive in temperate regions, where a warmer climate could trigger a developmental pathway that cannot be completed within the growing season, referred to as a developmental trap. Here, we incorporated detailed demography into commonly used photothermal models to evaluate these demographic consequences of phenological shifts due to a warming climate on the formerly widespread, multivoltine butterfly (Pieris oleracea). Using species-specific temperature- and photoperiod-sensitive vital rates, we estimated the number of generations per year and population growth rate over the set of climate conditions experienced during the past 38 years. We predicted that populations in the southern portion of its range have added a fourth generation in recent years, resulting in higher annual population growth rates (demographic bonanzas). We predicted that populations in the northeastern US have experienced developmental traps, where increases in the thermal window initially caused mortality of the final generation and reduced growth rates. These populations may recover if more growing degree days are added to the year. Our framework for incorporating detailed demography into commonly used photothermal models demonstrates the importance of using both demography and phenology to predict consequences of phenological shifts.
© 2019 John Wiley & Sons Ltd.

Entities:  

Keywords:  zzm321990Pieris oleraceazzm321990; diapause; growing degree days; mustard white; photoperiod; population growth rates; voltinism

Year:  2019        PMID: 31833162     DOI: 10.1111/gcb.14959

Source DB:  PubMed          Journal:  Glob Chang Biol        ISSN: 1354-1013            Impact factor:   10.863


  5 in total

1.  Phenological sensitivity and seasonal variability explain climate-driven trends in Mediterranean butterflies.

Authors:  Pau Colom; Miquel Ninyerola; Xavier Pons; Anna Traveset; Constantí Stefanescu
Journal:  Proc Biol Sci       Date:  2022-04-27       Impact factor: 5.530

2.  Consistent trait-temperature interactions drive butterfly phenology in both incidental and survey data.

Authors:  Elise A Larsen; Michael W Belitz; Robert P Guralnick; Leslie Ries
Journal:  Sci Rep       Date:  2022-08-04       Impact factor: 4.996

3.  Local adaptation to seasonal cues at the fronts of two parallel, climate-induced butterfly range expansions.

Authors:  Mats Ittonen; Alexandra Hagelin; Christer Wiklund; Karl Gotthard
Journal:  Ecol Lett       Date:  2022-08-15       Impact factor: 11.274

4.  Beyond thermal melanism: association of wing melanization with fitness and flight behaviour in a butterfly.

Authors:  Elena Rosa; Marjo Saastamoinen
Journal:  Anim Behav       Date:  2020-09       Impact factor: 2.844

5.  Urbanization extends flight phenology and leads to local adaptation of seasonal plasticity in Lepidoptera.

Authors:  Thomas Merckx; Matthew E Nielsen; Janne Heliölä; Mikko Kuussaari; Lars B Pettersson; Juha Pöyry; Juha Tiainen; Karl Gotthard; Sami M Kivelä
Journal:  Proc Natl Acad Sci U S A       Date:  2021-10-05       Impact factor: 11.205

  5 in total

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