Predicting the resting sites of Eurygaster integriceps Put. (Hemiptera: Scutelleridae) using a geographic information system

Predicting the resting sites of Eurygaster integriceps Put. (Hemiptera: Scutelleridae) using a... Sunn pest Eurygaster integriceps Puton is the most destructive insect pest of wheat and barley in Iran. This pest is a univoltine insect that feeds and reproduces in the fields for only 2–3 months of the year and spends the rest of the year in resting sites. In Sunn pest management programs, the pest populations in the fields are estimated by monitoring populations in the resting sites. The objectives of this study were to find variables associated with Sunn pest resting sites, using statistical tools and a geographic information system; and predict resting sites using these variables. This study was conducted in East Azarbaijan province of Iran. Six hundred points were sampled during a three year study. The twelve topographic and environmental variables including elevation, relative elevation, slope, aspect, north–south aspect data, landshape, slope steepness, slope configuration, topographic position, soil moisture potential, sun index and normalized difference vegetation index (NDVI) were examined. The models and variables were evaluated using corrected Akaike’s information criterion (AICC). NDVI, relative elevation, elevation, topographic position, soil moisture potential, north–south aspect and aspect which had high AICC weight were used in the prediction model. The resting sites of Sunn pest in Marand County of East Azarbaijan province was predicted using the model obtained with the purpose of testing it. Comparing the predicted resting sites with the actual ones revealed that large parts of the predicted areas in south were in accordance with the actual resting sites in Marand. The generated prediction map for E. integriceps can have several applications. Targeted monitoring and management of overwintering populations of Sunn pest using this map will save time and money. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Precision Agriculture Springer Journals

Predicting the resting sites of Eurygaster integriceps Put. (Hemiptera: Scutelleridae) using a geographic information system

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Publisher
Springer Journals
Copyright
Copyright © 2014 by Springer Science+Business Media New York
Subject
Life Sciences; Agriculture; Soil Science & Conservation; Remote Sensing/Photogrammetry; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Atmospheric Sciences
ISSN
1385-2256
eISSN
1573-1618
D.O.I.
10.1007/s11119-014-9356-7
Publisher site
See Article on Publisher Site

Abstract

Sunn pest Eurygaster integriceps Puton is the most destructive insect pest of wheat and barley in Iran. This pest is a univoltine insect that feeds and reproduces in the fields for only 2–3 months of the year and spends the rest of the year in resting sites. In Sunn pest management programs, the pest populations in the fields are estimated by monitoring populations in the resting sites. The objectives of this study were to find variables associated with Sunn pest resting sites, using statistical tools and a geographic information system; and predict resting sites using these variables. This study was conducted in East Azarbaijan province of Iran. Six hundred points were sampled during a three year study. The twelve topographic and environmental variables including elevation, relative elevation, slope, aspect, north–south aspect data, landshape, slope steepness, slope configuration, topographic position, soil moisture potential, sun index and normalized difference vegetation index (NDVI) were examined. The models and variables were evaluated using corrected Akaike’s information criterion (AICC). NDVI, relative elevation, elevation, topographic position, soil moisture potential, north–south aspect and aspect which had high AICC weight were used in the prediction model. The resting sites of Sunn pest in Marand County of East Azarbaijan province was predicted using the model obtained with the purpose of testing it. Comparing the predicted resting sites with the actual ones revealed that large parts of the predicted areas in south were in accordance with the actual resting sites in Marand. The generated prediction map for E. integriceps can have several applications. Targeted monitoring and management of overwintering populations of Sunn pest using this map will save time and money.

Journal

Precision AgricultureSpringer Journals

Published: Apr 4, 2014

References

  • Spatial analysis of gypsy moth populations in Sardinia using geostatistical and climate models
    Cocco, A; Cossu, AQ; Erre, P; Nieddu, G; Luciano, P
  • Geostatistics and geographic information systems in applied insect ecology
    Liebhold, AM; Rossi, RE; Kemp, WP
  • An integrated geographic information system approach for modeling the suitability of conifer habitat in an alpine environment
    McGregor, S

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