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首页> 外文期刊>Ecological indicators >Characterizing benthic macroinvertebrate and algal biological condition gradient models for California wadeable Streams, USA
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Characterizing benthic macroinvertebrate and algal biological condition gradient models for California wadeable Streams, USA

机译:美国弯曲弯曲的底栖近似物流和藻类生物条件梯度模型的特征

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摘要

The Biological Condition Gradient (BCG) is a conceptual model that describes changes in aquatic communities under increasing levels of anthropogenic stress. The BCG helps decision-makers connect narrative water quality goals (e.g., maintenance of natural structure and function) to quantitative measures of ecological condition by linking index thresholds based on statistical distributions (e.g., percentiles of reference distributions) to expert descriptions of changes in biological condition along disturbance gradients. As a result, the BCG may be more meaningful to managers and the public than indices alone. To develop a BCG model, biological response to stress is divided into 6 levels of condition, represented as changes in biological structure (abundance and diversity of pollution sensitive versus tolerant taxa) and function. We developed benthic macroinvertebrate (BMI) and algal BCG models for California perennial wadeable streams to support interpretation of percentiles of reference-based thresholds for bioassessment indices (i.e., the California Stream Condition Index [CSCI] for BMI and the Algal Stream Condition Index [ASCI] for diatoms and soft-bodied algae). Two panels (one of BMI ecologists and the other of algal ecologists) each calibrated a general BCG model to California wadeable streams by first assigning taxa to specific tolerance and sensitivity attributes, and then independently assigning test samples (264 BMI and 248 algae samples) to BCG Levels 1 & ndash;6. Consensus on the assignments was developed within each assemblage panel using a modified Delphi method. Panels then developed detailed narratives of changes in BMI and algal taxa that correspond to the 6 BCG levels. Consensus among experts was high, with 81% and 82% expert agreement within 0.5 units of assigned BCG level for BMIs and algae, respectively. According to both BCG models, the 10th percentiles index scores at reference sites corresponded to a BCG Level 3, suggesting that this type of threshold would protect against moderate changes in structure and function while allowing loss of some sensitive taxa. The BCG provides a framework to interpret changes in aquatic biological condition along a & nbsp;gradient of stress. The resulting relationship between index scores and BCG levels and narratives can help de-cision-makers select thresholds and communicate how these values protect aquatic life use goals.
机译:生物条件梯度(BCG)是一种概念模型,描述了在增加的人为压力水平下的水生群变化。 BCG通过将基于统计分布(例如,参考分布百分比)连接到生物学的改变的专家描述,帮助决策者通过将指数阈值联系到生态条件的定量测量来实现生态条件的定量测量。沿扰动梯度的条件。结果,BCG对管理人员和公众比单独的指数更为有意义。为了开发BCG模型,对应激的生物反应分为6个条件,表示为生物结构的变化(污染敏感与耐受性分类的丰富和多样性)和功能。我们开发了Benthic Macroinvertebrete(BMI)和藻类BCG模型,用于加州多年生较令的流,以支持对生物标记指数的基于参考阈值百分比的解释(即,BMI的加州流条件指数[CSCI]以及藻类流条件指数[ASCI ]对于硅藻和软体藻类)。每次面板(BMI生态学家和其他藻类生态学家之一)每次校准一般的BCG模型到加州可挥之平流,首先将分类群分配给特定的公差和敏感性属性,然后独立分配测试样本(264 BMI和248藻类样品)到BCG水平1– 6。使用修改的Delphi方法在每个组合面板中开发了对分配的共识。然后,面板在与6 bcg水平相对应的BMI和藻类分类群中开发了详细的变化叙述。专家之间的共识很高,分别在0.5个单位的BMI和藻类单位内的81%和82%的专家协议。根据BCG模型,参考站点的第10百分位数在参考网站上进行相对应的BCG级别3,表明这种类型的阈值将防止结构和功能的中等变化,同时允许丢失一些敏感的分类群。 BCG提供了一种框架,可以沿A&NBSP解释水生生物状况的变化;压力的梯度。索引分数和BCG水平和叙述之间产生的关系可以帮助De-Circis-Makers选择阈值并传达这些值如何保护水生寿命使用目标。

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