The devil is in the detail: Metabarcoding of arthropods provides a sensitive measure of biodiversity response to forest stand composition compared with surrogate measures of biodiversity
The devil is in the detail: Metabarcoding of arthropods provides a sensitive measure of biodiversity response to forest stand composition compared with surrogate measures of biodiversity
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DOI：
10.1016/j.ecolind.2019.01.023
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发表时间：
2019-06-01
影响因子：
6.9
通讯作者：
Yu, Douglas W.
中科院分区：
文献类型：
--
作者：
Barsoum, N.;Bruce, Catharine;Yu, Douglas W.
衡量森林生物多样性的趋势并将其与森林管理实践和环境变化联系起来，需要对森林生物多样性的时空趋势进行有效监测和评估。基于分类群和栖息地的生物多样性替代度量，或“生物多样性指标”，通常用于传达关于生物群落状态的信息，因为它们可以由非专家相对快速和廉价地进行评估。利用DNA元条形码对生物多样性组成部分进行直接测量也越来越可行；“下一代测序”通过对多个物种的DNA条形码进行并行测序，促进了对组合的多个物种样本的快速表征，同时减少了对分类学专业知识的需求，以及在广泛的分类学群体中获取生物多样性数据所需的时间和成本。我们研究了从大量捕获节肢动物的DNA元条形码和一系列基于分类的生物多样性替代测量（如瓢虫、维管植物）中获得的生物多样性信息是否提供：1)α和β多样性的相似估计，2)提供与森林管理相关的相似结论。我们还探讨了基于栖息地的生物多样性替代测量（如林分结构、枯木量）如何预测观察到的生物多样性模式。这项研究是在英国的塞特福德森林进行的，在15个人工林中（5个苏格兰松-橡树混合种植，4个苏格兰松和6个单一种植的橡树）。我们的研究结果表明，元条形码和基于分类的生物多样性替代测量之间具有高度的一致性。使用元条形码方法鉴定的分类类群范围更广，这为鉴定对实验操纵的环境变量（即林分组成）敏感的分类群提供了潜力。大多数基于生境的生物多样性测量都不能预测林分之间的物种组合差异。
Gauging trends in forest biodiversity and relating these to forest management practice and environmental change requires effective monitoring and assessment of spatio-temporal trends in forest biodiversity. Taxa- and habitat-based surrogate measures of biodiversity, or 'biodiversity indicators', are commonly used to convey information about the state of the biological community since they can be assessed relatively quickly and cheaply by non-experts. Direct measures of a component of biodiversity are also increasingly feasible using DNA metabarcoding; 'Next Generation Sequencing' has facilitated the rapid characterisation of combined multiple species samples by sequencing their DNA barcodes in parallel, simultaneously reducing the need for taxonomic expertise and the time and cost required to obtain biodiversity data across a wide range of taxonomic groups.We investigated whether biodiversity information obtained from DNA metabarcoding of mass-trapped arthropods and from a range of taxa-based surrogate measures of biodiversity (e.g. carabid beetles, vascular plants) provide: 1) similar estimates of alpha and beta diversity and 2) provide similar forest management related conclusions. We also explored how well habitat-based surrogate measures of biodiversity (e.g. stand structure, volume of deadwood) predict observed biodiversity patterns. The study was conducted in Thetford Forest, UK within 15 forest plantation stands (5 Scots pine-oak mixtures, 4 Scots pine and 6 oak monocultures).Our results demonstrated a high level of congruence between the metabarcoding and taxa-based surrogate measures of biodiversity. The wider range of taxonomic groups identified using a metabarcoding approach offered the potential to identify taxa sensitive to the environmental variable that was being manipulated experimentally (i.e. the composition of forest stands). Most habitat-based measures of biodiversity failed to predict species assemblage differences between stands.