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.
摘要：
共现相关概况是由不同的因素（外源和内源）驱动的，并根据共现绘制物种之间的关联概况，如果不评估这些物种在生态位方面的变化，可能会导致错误的结论。目的是确定油菜作物中植食性昆虫的共同发生和相关模式，并评估这些模式如何根据作物阶段（物候-生物）和播种时间（农业实践-非生物）而变化。我们发现，由于油菜的物候和播种时间，物种之间的共生和相关性模式反映了种群变化。多物种丰度矩阵的变化受平均气温和累积降雨量的影响。巴西南部与油菜有关的主要物种，就丰度而言，是P.xylostella,D.speciosa,和N.viridula.这些物种大多呈负相关。当评估他们的人口变化时，我们发现他们探索不同的时空生态位，无论是物候还是播种时间。最后,我们凭经验证明，尽管很重要，应根据对生态位开发模式和物种时间变化的理解来解释基于共生和相关性的关联模式。
