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The Co-occurrence Matrix and the Correlation Network of Phytophagous Insects Are Driven by Abiotic and Biotic Variables: the Case of Canola.
Engel, Eduardo; de Paula Ribeiro, Ana Lúcia; Lúcio, Alessandro Dal'Col; Pasini, Mauricio Paulo Batistella; Buzzatti, Jerônimo Zamberlan; Rodrigues, Francisco Teixeira; Cassol, Luthyana Oliveira; Godoy, Wesley Augusto Conde.
Afiliación
  • Engel E; Dept of Entomology and Acarology, University of São Paulo, ESALQ, Piracicaba, SP, Brazil. agron.engel@gmail.com.
  • de Paula Ribeiro AL; Laboratory of Entomology, Federal Institut Farroupilha, Campus São Vicente Do Sul, São Vicente do Sul, RS, Brazil.
  • Lúcio AD; Department of Crop Science, Federal University of Santa Maria, Santa Maria, Rio Grande Do Sul, Brazil.
  • Pasini MPB; INTAGRO Pesquisa & Desenvolvimento, Cruz Alta, RS, Brazil.
  • Buzzatti JZ; Laboratory of Entomology, Federal Institut Farroupilha, Campus São Vicente Do Sul, São Vicente do Sul, RS, Brazil.
  • Rodrigues FT; Laboratory of Entomology, Federal Institut Farroupilha, Campus São Vicente Do Sul, São Vicente do Sul, RS, Brazil.
  • Cassol LO; Laboratory of Entomology, Federal Institut Farroupilha, Campus São Vicente Do Sul, São Vicente do Sul, RS, Brazil.
  • Godoy WAC; Dept of Entomology and Acarology, University of São Paulo, ESALQ, Piracicaba, SP, Brazil.
Neotrop Entomol ; 53(3): 541-551, 2024 Jun.
Article en En | MEDLINE | ID: mdl-38358647
ABSTRACT
Co-occurrence a correlation profiles are driven by different factors (exogenous and endogenous) and drawing a profile of association between species based on co-occurrence, without assessing how these species vary in terms of ecological niche can lead to wrong conclusions. The objective was to determine the co-occurrence and correlation patterns of phytophagous insects in canola crop and to evaluate how these patterns varied according to the crop stage (phenology-biotic) and sowing times (agricultural practice-abiotic). We found that the patterns of co-occurrence and correlation between species were reflections of population variations due to the phenology and sowing times of canola. Variations in the multi-species abundance matrix were influenced by mean air temperature and accumulated rainfall. The main species associated with canola in southern Brazil, in terms of abundance, were P. xylostella, D. speciosa, and N. viridula. These species were mostly negatively associated. When evaluating their population variations, we found that they explore different temporal niches, whether in terms of phenology or sowing times. Finally, we demonstrate empirically that despite being important, association patterns based on co-occurrence and correlation should be interpreted in light of the understanding of patterns of niche exploitation and temporal variation of species.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Brassica napus Límite: Animals País/Región como asunto: America do sul / Brasil Idioma: En Revista: Neotrop Entomol Asunto de la revista: BIOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Países Bajos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Brassica napus Límite: Animals País/Región como asunto: America do sul / Brasil Idioma: En Revista: Neotrop Entomol Asunto de la revista: BIOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Países Bajos