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Novel application of species richness estimators to predict the host range of parasites

机译:物种丰富性估算器的新型应用预测寄生虫的宿主范围

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摘要

Host range is a critical life history trait of parasites, influencing prevalence, virulence and ultimately determining their distributional extent. Current approaches to measure host range are sensitive to sampling effort, the number of known hosts increasing with more records. Here, we develop a novel application of results-based stopping rules to determine how many hosts should be sampled to yield stable estimates of the number of primary hosts within regions, then use species richness estimation to predict host ranges of parasites across their distributional ranges. We selected three mistletoe species (hemiparasitic plants in the Loranthaceae) to evaluate our approach: a strict host specialist (Amyema lucasii, dependent on a single host species), an intermediate species (Amyema quandang, dependent on hosts in one genus) and a generalist (Lysiana exocarpi, dependent on many genera across multiple families), comparing results from geographically-stratified surveys against known host lists derived from herbarium specimens. The results-based stopping rule (stop sampling bioregion once observed host richness exceeds 80% of the host richness predicted using the Abundance-based Coverage Estimator) worked well for most bioregions studied, being satisfied after three to six sampling plots (each representing 25 host trees) but was unreliable in those bioregions with high host richness or high proportions of rare hosts. Although generating stable predictions of host range with minimal variation among six estimators tri-ailed, distribution-wide estimates fell well short of the number of hosts known from herbarium records. This mismatch, coupled with the discovery of nine previously unrecorded mistletoe-host combinations, further demonstrates the limited ecological relevance of simple host-parasite lists. By collecting estimates of host range of constrained completeness, our approach maximises sampling efficiency while generating comparable estimates of the number of primary hosts, with broad applicability to many host parasite systems. (C) 2016 Australian Society for Parasitology. Published by Elsevier Ltd. All rights reserved.
机译:宿主范围是寄生虫的关键生命历史特征,影响患病率,毒力,最终确定其分布程度。测量主机范围的电流方法对采样工作敏感,已知主机的数量随着更多记录而增加。在这里,我们开发了基于结果的停止规则的新颖应用,以确定应该采样多少个主机,以产生区域内的主要宿主数量的稳定估计,然后使用物种丰富性估计来预测跨越其分布范围的寄生位的寄主范围。我们选择了三种槲寄生物种(Loranthaceae的偏马肌植物)来评估我们的方法:严格的寄主专家(艾米玛卢西西,依赖于单个宿主物种),中间物种(Amyema Quangang,依赖于一个属的宿主)和一般主义者(Lysiana Exocarpi,依赖于多个家庭的许多属性),比较来自来自植物标目标本的已知宿主列表的地理上分层调查结果。基于结果的停止规则(一旦观察到的宿主丰富,宿主丰富的宿主估计的80%超过了使用丰富的覆盖估计值的80%)对于大多数生物导致研究的工作良好,在三到六个采样图之后满足(每个代表25主机树木)但在那些具有高宿主丰富或高比例的稀有宿主的生物中不可靠。尽管在三维估计器之间的六个估计器之间产生稳定的宿主范围预测,但分布范围的分布估计差异很大,从植物标本型记录中已知的宿主数量缩短。这种不匹配与九个以前未记录的槲寄生宿主组合相结合,进一步证明了简单宿主寄生虫列表的有限生态相关性。通过收集受约束完整性的主机范围的估计,我们的方法可以最大限度地提高采样效率,同时产生主要宿主数量的可比估计,具有广泛适用于许多宿主寄生虫系统。 (c)2016澳大利亚寄生虫学会。 elsevier有限公司出版。保留所有权利。

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