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首页> 外文期刊>Northeastern Naturalist >Validation of a Macroinvertebrate-based Index of Nutrient Status in Streams Using Macroinvertebrate, Water-chemistry, and Diatom Data
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Validation of a Macroinvertebrate-based Index of Nutrient Status in Streams Using Macroinvertebrate, Water-chemistry, and Diatom Data

机译:使用大型无脊椎动物,水化学和硅藻数据验证河流中基于大型无脊椎动物的营养状况指数

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摘要

Determination of the causes of water-impairment is a critical part of bioassessment, and it is useful to be able to infer causes from the same sampling data used to assess the impairment. Determination of excess nutrient inputs to a waterbody as a cause of impairment is especially important because of the severity and ubiquity of nutrient-related water-quality problems nationwide. To that end, we tested and validated in New Jersey waters a macroinvertebrate-based nutrient biotic index (NBI) for phosphorus and nitrogen developed by the New York State Department of Environmental Conservation (NYSDEC). We used macroinvertebrate, water-chemistry, and diatom data from New Jersey streams collected in the state biomonitoring program and a study of diatom-nutrient relationships. We calculated tolerance values for widespread taxa based on frequency of occurrence in samples from sites with a range of nutrient concentrations. The NBI of a sample was calculated as a sum of the tolerance values of taxa in a sample weighted by the relative abundances of taxa. We developed tolerance values from the New Jersey data because relatively few taxa present in the New Jersey samples were rated in the New York study. NBIs for the New Jersey data calculated using the New Jersey-based tolerance values were significantly related to nutrient concentrations with correlations similar to, or greater than, those observed in the New York study. For taxa in common, the New Jersey-based tolerance values were only weakly correlated with the analogous New York values. To validate the NBI approach, we calculated NBI scores via a "leave-one-out" procedure for a data set not used to estimate tolerance values. These comparisons yielded statistically significant but weak correlations between the NBIs and nutrient concentrations. Factors that weaken these relationships are related to: (1) the specific data used (e.g., the lack of tolerance values for many taxa in independent data sets and weak temporal matching of macroinvertebrate and nutrient samples), (2) estimation issues (e.g., variability in estimates of tolerance values and NBIs), and (3) problems inherent in the approach (e.g., the effects of other factors on macroinvertebrate relationships). However, for all data sets examined, nitrogen and phosphorus concentrations were positively correlated, as were nitrogen and phosphorus tolerance values for taxa, and nitrogen and phosphorus NBI scores for sites. These correlations need to be considered in the selection of sampling sites for the development of tolerance values, the weighting of taxa in calculation of NBIs, and the interpretation of NBI values for the 2 nutrients.
机译:确定缺水原因是生物评估的关键部分,并且能够从用于评估损害的相同采样数据中推断出原因,这很有用。由于造成全国范围内与营养有关的水质问题的严重性和普遍性,确定造成损害的水体过量营养输入尤为重要。为此,我们在新泽西州水域测试并验证了纽约州环境保护局(NYSDEC)开发的基于大型无脊椎动物的磷和氮营养生物指数(NBI)。我们使用了新泽西州溪流中的大型无脊椎动物,水化学和硅藻数据,该数据是在州生物监测计划中收集的,并研究了硅藻与营养的关系。我们根据养分浓度范围不同的地区的样本中出现的频率,计算了广泛的分类单元的耐受性值。样品的NBI计算为样品中分类单元的公差值的总和,并按分类单元的相对丰度加权。我们从新泽西州的数据中得出了公差值,因为在纽约研究中对新泽西州样品中存在的分类单元的评价相对较少。使用基于新泽西州的耐受性值计算的新泽西州数据的NBI与营养物浓度显着相关,其相关性类似于或大于在纽约研究中观察到的相关性。对于常见的分类单元,基于新泽西州的公差值与类似的纽约值仅弱相关。为了验证NBI方法,我们通过“留一法”程序为未用于估计公差值的数据集计算了NBI分数。这些比较在NBIs和养分浓度之间产生了统计学上显着但弱的相关性。削弱这些关系的因素涉及:(1)使用的特定数据(例如,独立数据集中许多分类群的耐受值不足,以及大型无脊椎动物和营养物样品的时间匹配性较弱),(2)估计问题(例如, (3)方法固有的问题(例如,其他因素对无脊椎动物关系的影响)。但是,对于所有检查的数据集,氮和磷的浓度均呈正相关,分类群的氮和磷耐受性值以及位点的氮和磷NBI分数也呈正相关。这些相关性在选择耐受性值的采样点时需要考虑,在计算NBI时要对分类单元进行加权,并解释两种营养素的NBI值。

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