...
首页> 外文期刊>Ecology and Evolution >Refining trophic dynamics through multi‐factor Bayesian mixing models: A case study of subterranean beetles
【24h】

Refining trophic dynamics through multi‐factor Bayesian mixing models: A case study of subterranean beetles

机译:通过多因素贝叶斯混合模型精炼营养动态:地下甲虫的案例研究

获取原文
   

获取外文期刊封面封底 >>

       

摘要

Food web dynamics are vital in shaping the functional ecology of ecosystems. However, trophic ecology is still in its infancy in groundwater ecosystems due to the cryptic nature of these environments. To unravel trophic interactions between subterranean biota, we applied an interdisciplinary Bayesian mixing model design (multi‐factor BMM) based on the integration of faunal C and N bulk tissue stable isotope data (δ13C and δ15N) with radiocarbon data (Δ14C), and prior information from metagenomic analyses. We further compared outcomes from multi‐factor BMM with a conventional isotope double proxy mixing model (SIA BMM), triple proxy (δ13C, δ15N, and Δ14C, multi‐proxy BMM), and double proxy combined with DNA prior information (SIA?+?DNA BMM) designs. Three species of subterranean beetles (Paroster macrosturtensis, Paroster mesosturtensis, and Paroster microsturtensis) and their main prey items Chiltoniidae amphipods (AM1: Scutachiltonia axfordi and AM2: Yilgarniella sturtensis), cyclopoids and harpacticoids from a calcrete in Western Australia were targeted. Diet estimations from stable isotope only models (SIA BMM) indicated homogeneous patterns with modest preferences for amphipods as prey items. Multi‐proxy BMM suggested increased—and species‐specific—predatory pressures on amphipods coupled with high rates of scavenging/predation on sister species. SIA?+?DNA BMM showed marked preferences for amphipods AM1 and AM2, and reduced interspecific scavenging/predation on Paroster species. Multi‐factorial BMM revealed the most precise estimations (lower overall SD and very marginal beetles' interspecific interactions), indicating consistent preferences for amphipods AM1 in all the beetles' diets. Incorporation of genetic priors allowed crucial refining of the feeding preferences, while integration of more expensive radiocarbon data as a third proxy (when combined with genetic data) produced more precise outcomes but close dietary reconstruction to that from SIA?+?DNA BMM. Further multidisciplinary modeling from other groundwater environments will help elucidate the potential behind these designs and bring light to the feeding ecology of one the most vital ecosystems worldwide.
机译:食物Web动态对于塑造生态系统的功能生态学至关重要。然而,由于这些环境的隐秘性质,营养生态仍处于地下水生态系统中的初期。为了在地下Biota之间的解开营养互动,我们基于与无线电碳数据(Δ14c)的群体C和N散装组织稳定同位素数据(Δ13c和Δ15n)的集成,应用了跨学科贝叶斯混合模型设计(多因素BMM),并以前的来自Metagenomic分析的信息。我们进一步将来自多因素BMM的结果与传统的同位素双代理混合模型(SIA BMM),三重代理(Δ13C,Δ15n和Δ14c,多代理bmm)和双代理与DNA先前信息组合(SIA?+ ?DNA BMM)设计。三种地下甲虫(Paroster MeSosturtensis,Paroster Mesosturtensis)及其主要猎物嗜酸剂(AM1:Scutachiltonia Axfordi和AM2:伊尔加里亚拉Sturtensis),澳大利亚澳大利亚州西澳大利亚州的单调和胡脂骨质的主要猎物。稳定同位素的饮食估计仅模型(SIA BMM)表明了均匀的模式,具有适度的偏美作为猎物物品的偏好。多功能BMM建议在AMphipods上增加和物种特异性压力,其伴随着姐妹种类的高稳定性/捕食。 SIA?+?DNA BMM显示出对Amphipods AM1和AM2的显着偏好,并降低了竖立物种的特异性清除/捕获。多因素BMM揭示了最精确的估计(较低的整体SD和非常边缘甲虫'间隙相互作用),表明在所有甲虫的饮食中对Amphipods AM1的一致偏好。纳入遗传前导者允许关键的饲料偏好,同时将更昂贵的无线电金数据作为第三代理(与遗传数据相结合时,将更精确的结果与Sia?+ + DNA Bmm的膳食重建融为一体。来自其他地下水环境的进一步多学科建模将有助于阐明这些设计背后的潜力,并将光线带来全球最重要的生态系统的喂养生态。

著录项

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号