Spiller David A, Schoener Thomas W
Section of Evolution and Ecology and Center for Population Biology, Division of Biological Sciences, University of California, 95616, Davis, CA, USA.
Oecologia. 1995 Aug;103(2):133-139. doi: 10.1007/BF00329072.
The objective of this study was to ascertain whether the impact of lizards on spiders varies temporally, and if so, whether this variability is related to rainfall. We compared annual censuses of orb-spider populations on 24 islands with diurnal lizards present, and on 20 islands with diurnal lizards absent, to rainfall over a 10-year period. A strong positive correlation (Pearson r=0.877) was found between mean spider density on nolizard islands and the number of days of rain that occurred 2 months prior to spider censuses; correlation coefficients declined with longer and shorter time periods prior to censuses. Correlation coefficients between mean spider density on lizard islands and rainfall showed a similar pattern but were generally lower than those for no-lizard islands. The strength of the impact of lizards on spiders, measured as the ratio of mean spider density on no-lizard islands to mean spider density on lizard islands, varied considerably and was positively correlated with rainfall; the correlation was highest with number of rain days 6 months prior to spider censuses (r=0.741). Repeated-measures analysis of variance on the time series of spider densities showed that the lizard factor (present versus absent) varied significantly among years. Split-plot ANOVA with rainfall as a covariate indicated that spider density and the impact of lizards on spider density were both significantly correlated with rainfall. We discuss several hypotheses on the causal mechanisms that integrate abiotic and biotic factors.
本研究的目的是确定蜥蜴对蜘蛛的影响是否随时间变化,若如此,这种变化是否与降雨有关。我们将24个有昼行性蜥蜴的岛屿和20个没有昼行性蜥蜴的岛屿上圆蛛种群的年度普查数据与10年期间的降雨量进行了比较。在无蜥蜴岛屿上的平均蜘蛛密度与蜘蛛普查前2个月的降雨天数之间发现了强烈的正相关(皮尔逊r = 0.877);相关系数在普查前更长和更短的时间段内均下降。蜥蜴岛屿上的平均蜘蛛密度与降雨量之间的相关系数呈现类似模式,但总体上低于无蜥蜴岛屿。蜥蜴对蜘蛛的影响强度,以无蜥蜴岛屿上的平均蜘蛛密度与蜥蜴岛屿上的平均蜘蛛密度之比衡量,变化很大,且与降雨量呈正相关;与蜘蛛普查前6个月的降雨天数相关性最高(r = 0.741)。对蜘蛛密度时间序列进行的重复测量方差分析表明,蜥蜴因素(存在与否)在不同年份间有显著变化。以降雨为协变量的裂区方差分析表明,蜘蛛密度以及蜥蜴对蜘蛛密度的影响均与降雨量显著相关。我们讨论了关于整合非生物和生物因素的因果机制的几种假设。