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Relationship between pest grasshopper densities and climate variables in the southern Pampas of Argentina

Published online by Cambridge University Press:  31 January 2022

Y. Mariottini*
Affiliation:
Instituto Multidisciplinario sobre Ecosistemas y Desarrollo Sustentable (UNICEN-CICPBA), Arroyo seco S/N Campus Universitario, 7000, Tandil, Argentina
C. Marinelli
Affiliation:
Instituto Multidisciplinario sobre Ecosistemas y Desarrollo Sustentable (UNICEN-CICPBA), Arroyo seco S/N Campus Universitario, 7000, Tandil, Argentina
R. Cepeda
Affiliation:
Instituto Multidisciplinario sobre Ecosistemas y Desarrollo Sustentable (UNICEN-CICPBA), Arroyo seco S/N Campus Universitario, 7000, Tandil, Argentina
M. L. De Wysiecki
Affiliation:
Centro de Estudios Parasitológicos y de Vectores (CONICET-UNLP), Boulevard 120 entre 60 y 64, 1900, La Plata, Argentina Facultad de Ciencias Naturales y Museo (UNLP), Av. 122 y 60, 1900, La Plata, Argentina
C. E. Lange
Affiliation:
Centro de Estudios Parasitológicos y de Vectores (CONICET-UNLP), Boulevard 120 entre 60 y 64, 1900, La Plata, Argentina Comisión de Investigaciones Científicas de la Provincia de Buenos Aires (CICPBA), 526 entre 10 y 11, 1900, La Plata, Argentina
*
Author for correspondence: Y. Mariottini, Email: ymariottini@cepave.edu.ar

Abstract

Grasshoppers are one of the most predominant insects in the grasslands of the southern Pampas. In this region, Dichroplus elongatus, Dichroplus maculipennis, Dichroplus pratensis and Borellia bruneri are the most abundant species and have the greatest economic importance. This study aimed to assess the relationship between temporal changes in the density of these species and climate variables associated with temperature and rainfall over an 11-year study period., We monitored 22 sites in different areas of Laprida county from 2005 to 2016. A total of 25 grasshopper species were collected. The most abundant species were D. maculipennis and B. bruneri which reached the highest densities from 2008–2009 to 2010–2011. The rainfall accumulated from September (RAS) to the sampling date and the number of rainy days (RD) largely explained the density variation of B. bruneri. Besides RD and RAS, winter rainfall, rainfall accumulated from October to the sampling date, and thermal amplitude of October (TAO) influenced the density of D. maculipennis. Our results indicated that seasons with less rainfall and fewer RD favored these two species’ abundance. We identified that the RD and TAO contributed significantly to variations in the density of D. elongatus. In contrast to the other two species, we recorded D. elongatus in seasons with high rainfall and high RD. A better understanding of the climate influence on the life cycle of these economically important insects may identify key factors in their population dynamics which in turn may improve management options.

Type
Research Paper
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press

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