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Disentangling endogenous versus exogenous pattern formation in spatial ecology: a case study of the ant Azteca sericeasur in southern Mexico

机译:解析空间生态学中的内源性模式与外源性模式形成:以墨西哥南部蚂蚁Azteca sericeasur为例

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摘要

Spatial patterns in ecology can be described as reflective of environmental heterogeneity (exogenous), or emergent from dynamic relationships between interacting species (endogenous), but few empirical studies focus on the combination. The spatial distribution of the nests of Azteca sericeasur, a keystone tropical arboreal ant, is thought to form endogenous spatial patterns among the shade trees of a coffee plantation through self-regulating interactions with controlling agents (i.e. natural enemies). Using inhomogeneous point process models, we found evidence for both types of processes in the spatial distribution of A. sericeasur. Each year's nest distribution was determined mainly by a density-dependent relationship with the previous year's lagged nest density; but using a novel application of a Thomas cluster process to account for the effects of nest clustering, we found that nest distribution also correlated significantly with tree density in the later years of the study. This coincided with the initiation of agricultural intensification and tree felling on the coffee farm. The emergence of this significant exogenous effect, along with the changing character of the density-dependent effect of lagged nest density, provides clues to the mechanism behind a unique phenomenon observed in the plot, that of an increase in nest population despite resource limitation in nest sites. Our results have implications in coffee agroecological management, as this system provides important biocontrol ecosystem services. Further research is needed, however, to understand the effective scales at which these relationships occur.
机译:生态学中的空间格局可以描述为环境异质性(外源性)的反映,或者是相互作用物种之间的动态关系(内源性)的涌现,但是很少有经验研究关注这种组合。人们认为,Azteca sericeasur(一种重要的热带树栖蚂蚁)的巢的空间分布是通过与控制剂(即天敌)的自我调节相互作用在咖啡种植园的荫凉树之间形成内源性空间格局。使用非均匀点过程模型,我们发现了A. sericeasur的空间分布中两种过程的证据。每年的巢穴分布主要取决于与上一年滞后巢穴密度的密度相关关系。但是使用Thomas聚类过程的新颖应用来说明巢聚类的影响,我们发现在研究的后期,巢的分布也与树木密度显着相关。恰逢农业集约化和咖啡农场砍伐树木的开始。这种显着的外源性效应的出现,以及滞后巢穴密度的密度依赖性效应的变化特征,为该地块中观察到的独特现象背后的机理提供了线索,尽管巢穴中的资源有限,但巢穴种群的增加网站。我们的结果对咖啡农业生态管理产生了影响,因为该系统提供了重要的生物防治生态系统服务。但是,需要进一步的研究,以了解这些关系发生的有效尺度。

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