Spatial and temporal dynamics of coffee-leaf-miner and predatory wasps in organic coffee field in formation

The coffee production is an economic mainstay for many countries in the world. Brazil is the world's largest producer and exporter of coffee, being responsible for about 25% of the world production. It is well known that coffee plantations are susceptible to more than 850 fungal and insect pests. Among these pests, the most important significant throughout Brazil is the coffee-leaf-miner, [Leucoptera coffeella (Guérin-Mèneville & Perrottet, 1842) (Lepidoptera: Lyonetiidae)]. It is estimated that the loss in yield due to infestation by L. coffeella moths can increase to as much as 80% in areas where the coffee-leaf-miner larvae are not controlled. Though it is effective, the chemical control of the pest substantially increases the cost of production and constitutes a risk to the environment. The knowledge about the spatial-temporal dynamics of coffee-leaf-miner and predatory wasps may provide valuable information about the biological management pest context. One way to investigate the spatial-temporal synchronism of predator and prey is to calculate and compare an index of spatial randomness within a sequence time. This paper advocates using the Morisita's index, coupled with the bootstrap method, in a temporal sequence to characterize the spatial- temporal dynamics of coffee-leaf-miner and predatory wasp (Hymenoptera: Vespidae) in one hectare of an organic coffee plantation. The results showed that coffee-leaf-miner and predatory wasps presented a seasonal behavior with a temporal synchronism. The results also showed that both new and preyed mines were aggregated during the peak population (dry season). There was little evidence for space-time interaction between coffee-leaf-miner and predatory wasps.

Saved in:
Bibliographic Details
Main Authors: Scalon,João Domingos, Avelar,Maria Betania Lopes, Alves,Gabriela de Freitas, Zacarias,Maurício Sérgio
Format: Digital revista
Language:English
Published: Universidade Federal de Santa Maria 2011
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782011000400016
Tags: Add Tag
No Tags, Be the first to tag this record!
id oai:scielo:S0103-84782011000400016
record_format ojs
spelling oai:scielo:S0103-847820110004000162011-10-13Spatial and temporal dynamics of coffee-leaf-miner and predatory wasps in organic coffee field in formationScalon,João DomingosAvelar,Maria Betania LopesAlves,Gabriela de FreitasZacarias,Maurício Sérgio Leucoptera coffeella Hymenoptera: Vespidae bootstrap Morisita The coffee production is an economic mainstay for many countries in the world. Brazil is the world's largest producer and exporter of coffee, being responsible for about 25% of the world production. It is well known that coffee plantations are susceptible to more than 850 fungal and insect pests. Among these pests, the most important significant throughout Brazil is the coffee-leaf-miner, [Leucoptera coffeella (Guérin-Mèneville & Perrottet, 1842) (Lepidoptera: Lyonetiidae)]. It is estimated that the loss in yield due to infestation by L. coffeella moths can increase to as much as 80% in areas where the coffee-leaf-miner larvae are not controlled. Though it is effective, the chemical control of the pest substantially increases the cost of production and constitutes a risk to the environment. The knowledge about the spatial-temporal dynamics of coffee-leaf-miner and predatory wasps may provide valuable information about the biological management pest context. One way to investigate the spatial-temporal synchronism of predator and prey is to calculate and compare an index of spatial randomness within a sequence time. This paper advocates using the Morisita's index, coupled with the bootstrap method, in a temporal sequence to characterize the spatial- temporal dynamics of coffee-leaf-miner and predatory wasp (Hymenoptera: Vespidae) in one hectare of an organic coffee plantation. The results showed that coffee-leaf-miner and predatory wasps presented a seasonal behavior with a temporal synchronism. The results also showed that both new and preyed mines were aggregated during the peak population (dry season). There was little evidence for space-time interaction between coffee-leaf-miner and predatory wasps.info:eu-repo/semantics/openAccessUniversidade Federal de Santa MariaCiência Rural v.41 n.4 20112011-04-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782011000400016en10.1590/S0103-84782011005000037
institution SCIELO
collection OJS
country Brasil
countrycode BR
component Revista
access En linea
databasecode rev-scielo-br
tag revista
region America del Sur
libraryname SciELO
language English
format Digital
author Scalon,João Domingos
Avelar,Maria Betania Lopes
Alves,Gabriela de Freitas
Zacarias,Maurício Sérgio
spellingShingle Scalon,João Domingos
Avelar,Maria Betania Lopes
Alves,Gabriela de Freitas
Zacarias,Maurício Sérgio
Spatial and temporal dynamics of coffee-leaf-miner and predatory wasps in organic coffee field in formation
author_facet Scalon,João Domingos
Avelar,Maria Betania Lopes
Alves,Gabriela de Freitas
Zacarias,Maurício Sérgio
author_sort Scalon,João Domingos
title Spatial and temporal dynamics of coffee-leaf-miner and predatory wasps in organic coffee field in formation
title_short Spatial and temporal dynamics of coffee-leaf-miner and predatory wasps in organic coffee field in formation
title_full Spatial and temporal dynamics of coffee-leaf-miner and predatory wasps in organic coffee field in formation
title_fullStr Spatial and temporal dynamics of coffee-leaf-miner and predatory wasps in organic coffee field in formation
title_full_unstemmed Spatial and temporal dynamics of coffee-leaf-miner and predatory wasps in organic coffee field in formation
title_sort spatial and temporal dynamics of coffee-leaf-miner and predatory wasps in organic coffee field in formation
description The coffee production is an economic mainstay for many countries in the world. Brazil is the world's largest producer and exporter of coffee, being responsible for about 25% of the world production. It is well known that coffee plantations are susceptible to more than 850 fungal and insect pests. Among these pests, the most important significant throughout Brazil is the coffee-leaf-miner, [Leucoptera coffeella (Guérin-Mèneville & Perrottet, 1842) (Lepidoptera: Lyonetiidae)]. It is estimated that the loss in yield due to infestation by L. coffeella moths can increase to as much as 80% in areas where the coffee-leaf-miner larvae are not controlled. Though it is effective, the chemical control of the pest substantially increases the cost of production and constitutes a risk to the environment. The knowledge about the spatial-temporal dynamics of coffee-leaf-miner and predatory wasps may provide valuable information about the biological management pest context. One way to investigate the spatial-temporal synchronism of predator and prey is to calculate and compare an index of spatial randomness within a sequence time. This paper advocates using the Morisita's index, coupled with the bootstrap method, in a temporal sequence to characterize the spatial- temporal dynamics of coffee-leaf-miner and predatory wasp (Hymenoptera: Vespidae) in one hectare of an organic coffee plantation. The results showed that coffee-leaf-miner and predatory wasps presented a seasonal behavior with a temporal synchronism. The results also showed that both new and preyed mines were aggregated during the peak population (dry season). There was little evidence for space-time interaction between coffee-leaf-miner and predatory wasps.
publisher Universidade Federal de Santa Maria
publishDate 2011
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782011000400016
work_keys_str_mv AT scalonjoaodomingos spatialandtemporaldynamicsofcoffeeleafminerandpredatorywaspsinorganiccoffeefieldinformation
AT avelarmariabetanialopes spatialandtemporaldynamicsofcoffeeleafminerandpredatorywaspsinorganiccoffeefieldinformation
AT alvesgabrieladefreitas spatialandtemporaldynamicsofcoffeeleafminerandpredatorywaspsinorganiccoffeefieldinformation
AT zacariasmauriciosergio spatialandtemporaldynamicsofcoffeeleafminerandpredatorywaspsinorganiccoffeefieldinformation
_version_ 1756406053578211328