分布滞后模式对巴西东北海岸弯心异常密度的降雨影响

S. Lima, H. Andrade, R. Sousa
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引用次数: 0

摘要

在本研究中,从变量间的时间延迟角度分析降水对弯心异常密度的影响。该系列于2016年4月至2018年2月在巴西伯南布哥州的Mangue Seco海滩每两个月进行一次。利用自相关和互相关函数对总密度和按大小(小、中、大)分类的密度与降水量进行分析,并进行长达12个月的回顾性分析。变量间采用分布滞后模型。中型个体的最大密度在2017年6月(378 ind.m2)。密度(总尺寸和平均尺寸)与降水之间存在显著的自相关。在互相关函数中,一个月的高降水量之后,总个体和平均个体的高密度持续两个月。分布滞后模型也显示密度(总密度和中等密度)和降水量之间存在显著值,这解释了这两组的50%以上的变异性。降水对弯沙沙密度的影响持续了2个月,主要是增加了中等壳长的个体。
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Rainfall effects on Anomalocardia flexuosa densities on the northeastern Brazilian coast using distributed lag models
In this study, the effects of precipitation on Anomalocardia flexuosa densities were analyzed from the perspective of temporal delays between the variables. The collections occurred bi-monthly between April 2016 and February 2018 at Mangue Seco beach, Pernambuco, Brazil. Total densities and densities according to the category of size (small, medium and large), and precipitation were analyzed with autocorrelation and cross-correlation functions, with a retrospective analysis of up to 12 months. Distributed lag models were used among the variables. The maximum density was found in June 2017 (378 ind.m2) for the medium-size category of individuals. Significant autocorrelations occurred for densities (total and average size) and precipitation. In cross-correlation functions, high precipitation for a given month was followed by high densities of total and average individuals for up to two months. Distributed lag models also showed significant values between densities (total and medium-sized) and precipitation, which explained more than 50% of the variability of these two groups. The effect of precipitation was responsible for the increase in the density of A. flexuosa for up to two months, mainly by increasing individuals with medium shell lengths.
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