Literature DB >> 22374453

Climate change impact on development rates of the codling moth (Cydia pomonella L.) in the Wielkopolska region, Poland.

Radosław Juszczak1, Leszek Kuchar, Jacek Leśny, Janusz Olejnik.   

Abstract

The main goal of this paper is to estimate how the observed and predicted climate changes may affect the development rates and emergence of the codling moth in the southern part of the Wielkopolska region in Poland. In order to simulate the future climate conditions one of the most frequently used A1B SRES scenarios and two different IPCC climate models (HadCM3 and GISS modelE) are considered. A daily weather generator (WGENK) was used to generate temperature values for present and future climate conditions (time horizons 2020-2040 and 2040-2060). Based on the generated data set, the degree-days values were then calculated and the emergence dates of the codling moth at key stages were estimated basing on the defined thresholds. Our analyses showed that the average air surface temperature in the Wielkopolska region may increase from 2.8°C (according to GISS modelE) even up to 3.3°C (HadCM3) in the period of 2040-2060. With the warming climate conditions the cumulated degree-days values may increase at a rate of about 142 DD per decade when the low temperature threshold (T(low)) of 0°C is considered and 91 DD per decade when T(low) = 10°C. The key developmental stages of the codling moth may occur much earlier in the future climate conditions than currently, at a rate of about 3.8-6.8 days per decade, depending on the considered GCM model and the pest developmental stage. The fastest changes may be observed in the emergence dates of 95% of larvae of the second codling moth generation. This could increase the emergence probability of the pest third generation that has not currently occurred in Poland.

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Year:  2012        PMID: 22374453      PMCID: PMC3527741          DOI: 10.1007/s00484-012-0531-0

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  4 in total

1.  An improved model for determining degree-day values from daily temperature data.

Authors:  C Cesaraccio; D Spano; P Duce; R L Snyder
Journal:  Int J Biometeorol       Date:  2001-11       Impact factor: 3.787

2.  Fingerprints of global warming on wild animals and plants.

Authors:  Terry L Root; Jeff T Price; Kimberly R Hall; Stephen H Schneider; Cynthia Rosenzweig; J Alan Pounds
Journal:  Nature       Date:  2003-01-02       Impact factor: 49.962

3.  Combining population-dynamic and ecophysiological models to predict climate-induced insect range shifts.

Authors:  Lisa Crozier; Greg Dwyer
Journal:  Am Nat       Date:  2006-06       Impact factor: 3.926

4.  A physiologically based approach for degree-day calculation in pest phenology models: the case of the European corn borer (Ostrinia nubilalis Hbn.) in Northern Italy.

Authors:  Andrea Maiorano
Journal:  Int J Biometeorol       Date:  2011-07-02       Impact factor: 3.787

  4 in total
  2 in total

1.  Effects of climate change on the economic output of the Longjing-43 tea tree, 1972-2013.

Authors:  Weiping Lou; Shanlei Sun; Lihong Wu; Ke Sun
Journal:  Int J Biometeorol       Date:  2014-07-24       Impact factor: 3.787

2.  Generic calibration of a simple model of diurnal temperature variations for spatial analysis of accumulated degree-days.

Authors:  Raphael Felber; Sibylle Stoeckli; Pierluigi Calanca
Journal:  Int J Biometeorol       Date:  2017-12-07       Impact factor: 3.787

  2 in total

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