生态系统工程师的寄生虫高流行率与当地和景观层面的因素都有关联。

IF 2.3 2区 环境科学与生态学 Q2 ECOLOGY
Oecologia Pub Date : 2024-06-01 Epub Date: 2024-06-19 DOI:10.1007/s00442-024-05581-4
Shelby L Ziegler, Wil E Atencio, John M Carroll, James E Byers
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引用次数: 0

摘要

寄生虫感染的空间变化可能有许多物理和生物驱动因素。对于生态系统工程师的寄生虫来说,揭示这些驱动因素可能尤为重要,因为生态系统工程师是其群落的基础。牡蛎是重要的沿岸生态系统工程师,但其数量在全球范围内急剧下降,部分原因是由原生动物寄生虫 Perkinsus marinus 和 Haplosporidium nelsoni 引起的致命性牡蛎疾病(如 Dermo 和 MSX)病例增多。除了水质和水动力之外,关于其他变量如何影响这些病原体在区域范围内牡蛎中的流行和强度的信息很少。为了研究这些牡蛎寄生虫空间变化的驱动因素,包括宿主大小、当地礁石特性和景观特性,我们对美国佐治亚州沿岸系统分布的 24 个礁石进行了采样。在各个地点,我们发现至少有一种寄生虫的牡蛎普遍感染率较高(91.02% ± 8.89,平均 ± SD)。高水平的寄生虫流行率不仅会给关键的生态系统工程师带来潜在的问题,而且低空间变异性可能会限制变量在区域范围内的解释能力。我们的统计模型解释了这些微寄生虫流行率和强度空间模式变化的 18% 到 42%。有趣的是,景观环境对 P. marinus 的预测是正向的,但对 H. nelsoni 的预测是负向的。总之,我们的研究结果表明,驱动寄生虫流行率和强度的因素跨越多个空间尺度,同一因素既能促进也能阻碍同一宿主物种中的不同寄生虫。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

High parasite prevalence in an ecosystem engineer correlated with both local- and landscape-level factors.

High parasite prevalence in an ecosystem engineer correlated with both local- and landscape-level factors.

Spatial variation in parasitic infection may have many physical and biological drivers. Uncovering these drivers may be especially important for parasites of ecosystem engineers because the engineers are foundational to their communities. Oysters are an important coastal ecosystem engineer that have declined drastically worldwide, in part due to enhanced cases of lethal oyster diseases, such as Dermo and MSX, caused by the protozoan parasites Perkinsus marinus and Haplosporidium nelsoni, respectively. Besides water quality and hydrodynamics, there is little information on how other variables influence the prevalence and intensity of these pathogens in oysters across a regional scale. To examine drivers of spatial variation in these oyster parasites-including host size, local reef properties, and landscape properties-we sampled 24 reefs systematically spread along the coast of Georgia, USA. Across sites, we found universally high prevalence of oysters with at least one of these parasites (91.02% ± 8.89, mean ± SD). Not only are high levels of parasite prevalence potentially problematic for a pivotal ecosystem engineer, but also low spatial variability may limit the explanatory power of variables across a regional scale. Our statistical models explained between 18 and 42% of the variation in spatial patterns of prevalence and intensity of these microparasites. Interestingly, landscape context was a positive predictor of P. marinus, but a negative predictor of H. nelsoni. Overall, our findings suggest that factors driving parasite prevalence and intensity operate across multiple spatial scales, and the same factor can both facilitate and hinder different parasites within the same host species.

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来源期刊
Oecologia
Oecologia 环境科学-生态学
CiteScore
5.10
自引率
0.00%
发文量
192
审稿时长
5.3 months
期刊介绍: Oecologia publishes innovative ecological research of international interest. We seek reviews, advances in methodology, and original contributions, emphasizing the following areas: Population ecology, Plant-microbe-animal interactions, Ecosystem ecology, Community ecology, Global change ecology, Conservation ecology, Behavioral ecology and Physiological Ecology. In general, studies that are purely descriptive, mathematical, documentary, and/or natural history will not be considered.
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