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首页> 外文期刊>Hydrobiologia >River condition assessment may depend on the sub-sampling method: field live-sort versus laboratory sub-sampling of invertebrates for bioassessment
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River condition assessment may depend on the sub-sampling method: field live-sort versus laboratory sub-sampling of invertebrates for bioassessment

机译:河流状况评估可能取决于子采样方法:用于生物评估的无脊椎动物的实地分类与实验室子采样

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摘要

Aquatic macroinvertebrates are commonly used biological indicators for assessing the health of freshwater ecosystems. However, counting all the invertebrates in the large samples that are usually collected for rapid site assessment is time-consuming and costly. Therefore, sub-sampling is often done with fixed time or fixed count live-sorting in the field or with preserved material using sample splitters in the laboratory. We investigate the differences between site assessments provided when the two sub-sampling approaches (Live-sort and Lab-sort) were used in conjunction with predictive bioassessment models. The samples showed a method bias. The Live-sort sub-samples tended to have more large, conspicuous invertebrates and often fewer small and, or cryptic animals that were more likely to be found in Lab-sort samples where a microscope was used. The Live-sort method recovered 4-6 more taxa than Lab-sorting in spring, but not in autumn. The magnitude of the significant differences between Live-sort and Lab-sort predictive model outputs, observed to expected (O/E) taxa scores, for the same sites ranged from 0.12 to 0.53. These differences in the methods resulted in different assessments of some sites only and the number of sites that were assessed differently depended on the season, with spring samples showing most disparity. The samples may differ most in spring because many of the invertebrates are larger at that time (and thus are more conspicuous targets for live-sorters). The Live-sort data cannot be run through a predictive model created from Lab-sort data (and vice versa) because of the taxonomic differences in sub-sample composition and the sub-sampling methods must be standardized within and among studies if biological assessment is to provide valid comparisons of site condition. Assessments that rely on the Live-sorting method may indicate that sites are 'less impaired' in spring compared to autumn because more taxa are retrieved in spring when they are larger and more visible. Laboratory sub-sampling may return fewer taxa in spring, which may affect assessments relying on taxonomic richness.
机译:水生大型无脊椎动物是评估淡水生态系统健康的常用生物指标。但是,对通常用于快速站点评估的大型样本中的所有无脊椎动物进行计数是既费时又昂贵的。因此,子采样通常是在现场使用固定时间或固定数量的实时分选进行的,或者使用实验室中的样品分离器对保存的材料进行的。我们调查了两种亚采样方法(实时分类和实验室分类)与预测性生物评估模型结合使用时提供的现场评估之间的差异。样品显示出方法偏差。 Live-sort子样本倾向于具有更大,更显眼的无脊椎动物,并且通常更少的小型和/或隐秘动物在使用显微镜的Lab-sort样本中更容易发现。在春季,但不是在秋天,实时分类法比实验室分类回收了4-6个分类单元。对于相同站点,Live-sort和Lab-sort预测模型输出之间的显着差异(观察到的预期(O / E)分类群分数)的范围为0.12至0.53。这些方法的不同导致仅对某些地点进行了不同的评估,而被评估的地点数量因季节而异,春季样品显示出最大的差异。春季的样品可能差异最大,因为当时许多无脊椎动物都较大(因此是活体分类器的主要目标)。由于子样品成分的分类学差异,不能通过实验室分类数据创建的预测模型来运行实时分类数据(反之亦然),并且如果要进行生物学评估,则必须在研究之内和之中对子采样方法进行标准化。提供有效的现场条件比较。依靠实时排序方法进行的评估可能表明,与秋季相比,春季站点的受损程度较小,这是因为春季较大且更明显时,会在春季检索到更多的分类单元。在春季,实验室子采样可能会返回较少的分类单元,这可能会影响依赖分类学丰富性的评估。

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