Testing the pressure-specific invertebrate index (PSI) as a tool for determining ecologically relevant targets for reducing sedimentation in streams

Testing the pressure-specific invertebrate index (PSI) as a tool for determining ecologically relevant targets for reducing sedimentation in streams
复制标题

测试压力特定无脊椎动物指数(PSI)作为确定减少溪流沉积的生态相关目标的工具

DOI:
--
复制
发表时间:
2014
期刊:
影响因子:
--
通讯作者:
R. Brazier
R. Brazier
中科院分区:
--
文献类型:
--
作者:
M. Glendell;C. Extence;R. Chadd;R. Brazier

文献摘要

被引文献

相似文献

总结 泥沙淤积是世界范围内河流受损和水污染的主要原因。然而,由于对沉积与生态反应之间的定量联系以及不同类型的地表沃茨之间的变异性的理解存在重大差距,因此确定一个具有生态意义的沉积目标具有挑战性。本研究评估了一个新的压力特定的大型无脊椎动物指数,沉积物敏感的无脊椎动物(PSI)的比例,作为一个简单的工具,测量沉积的影响和设置生态相关的沉积目标的效用。 五个大型无脊椎动物指数计算从13个采样点在两个相邻的51个样本,但对比研究集水区在2010年和2011年春季和秋季。对于其中四个,环境质量指数(EQI)也计算为观察到的比例,预期(O:E)的大型无脊椎动物的分数,这是预测的理论原始的无脊椎动物群落使用河流无脊椎动物预测和分类系统模型。 主成分分析表明,一个明确的水文形态和沉积梯度内的两个研究集水区。作为一个随机因素和%细床沉积物作为一个固定的因素,发现一个广义的分层混合模型PSI和O:E PSI和%细床沉积物覆盖在达到规模的采样分辨率在一个中等梯度的影响之间的显着关系。流动评价(LIFE)分数和蜉蝣目-鳞翅目-毛翅目(EPT)%丰度也与%细床沉积物覆盖有关。然而,PSI是更强烈的相关性%细床沉积物覆盖比无论是生命或EPT %丰度。虽然PSI和O:E PSI与LIFE和O:E LIFE相关,但PSI与EPT %丰度不相关,这表明这些指标对多种压力源的差异化反应。 PSI和其他无脊椎动物指标之间的关系应受到进一步的测试沿着一个明显的梯度的多个压力,我们的研究结果表明,PSI和%细床沉积物覆盖有可能提供简单,敏感和有效的工具,设置“双胞胎”生态和物理沉积目标,并增加额外的探索权力,现有的套件的大型无脊椎动物指数。
Summary Sedimentation is a major cause of river impairment and water pollution worldwide. However, setting an ecologically meaningful sedimentation target is proving challenging due to significant gaps in the understanding of quantitative links between sedimentation and ecological response as well as variability between different types of surface waters. This study evaluates the utility of a new pressure-specific macroinvertebrate index, Proportion of Sediment-sensitive Invertebrates (PSI), to act as a simple tool for measuring sedimentation impacts and setting ecologically relevant sedimentation targets. Five macroinvertebrate indices were calculated from 51 samples taken from 13 sampling locations across two neighbouring, but contrasting study catchments in spring and autumn 2010 and 2011. For four of these, environmental quality indices (EQIs) were also calculated as a proportion of observed to expected (O:E) macroinvertebrate scores, which were predicted for a theoretical pristine invertebrate community using the River Invertebrate Prediction and Classification System model. Principal component analysis has shown a clear hydromorphological and sedimentation gradient within the two study catchments. A generalised hierarchical mixed model with site as a random factor and % fine bed sediment as a fixed factor found a significant relationship between PSI and O:E PSI and % fine bed sediment cover at reach-scale sampling resolution over a moderate gradient of impact. Lotic Index for Flow Evaluation (LIFE) scores and Ephemeroptera–Plecoptera–Trichoptera (EPT) % abundance were also related to % fine bed sediment cover. However, PSI was more strongly related to % fine bed sediment cover than either LIFE or EPT % abundance. While PSI and O:E PSI were correlated with LIFE and O:E LIFE, PSI was not correlated with EPT % abundance, which suggests a differentiated response of these metrics to multiple stressors. The relationship between PSI and other invertebrate metrics should be subjected to further testing along a pronounced gradient of multiple stressors, as our findings suggest that PSI and % fine bed sediment cover have the potential to provide simple, sensitive and effective tools for setting of ‘twin’ ecological and physical sedimentation targets and add additional exploratory power to the existing suite of macroinvertebrate indices.