架起科学与社会的桥梁:为意大利的河流生态系统开发公民科学生物监测方法

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Ecological Indicators Pub Date : 2025-02-01 Epub Date: 2025-02-12 DOI:10.1016/j.ecolind.2025.113199
Samuele Roccatello , Alessandro Lagrotteria , Chiara Andrà , Alberto Doretto
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引用次数: 0

摘要

河流是地球上变化和受影响最大的淡水生态系统之一,因此应由专业人员和社会共同努力,实施其生物监测和保护。公民科学被认为是一种强有力的方法,但它在河流生物监测中的应用仍然很少,特别是在意大利。本研究旨在开发和验证一种基于底栖大型无脊椎动物群落分析的河流生态系统公民科学生物监测方法。利用由932个采样事件组成的校准数据集,通过选择36个具有代表性的类群,首次获得了一个简化的大型无脊椎动物群落。在简化群落和校准群落中计算了四种不同但常规应用的度量,并显示出强烈而显著的相关性。根据官方方法,对四个选定指标的阈值进行了统计推导,并在区分未受影响和受影响的条件方面提供了很好的一致性。该方法的性能在10个独立的公民科学志愿者抽样活动中得到了验证,并与基准站点进行了比较。36个类群中有33个至少记录了一次,表明简化的大型无脊椎动物群落是有效的和有代表性的。生态状况评估和选择的指标与基准地点的值大致相当,尽管根据不同的指标观察到一些差异。这项研究代表了在意大利开发一种基于大型无脊椎动物的公民科学河流生物监测方法的第一次努力之一,它支持采用多度量方法。
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Bridging science and society: Developing a citizen science biomonitoring approach for river ecosystems in Italy
Rivers are among the most altered and impacted freshwater ecosystems on Earth, so that collective efforts should be fuelled by professionals and societies to implement their biomonitoring and conservation. Citizen science is recognized as a powerful approach but its application in river biomonitoring is still scarce, especially in Italy. This study was aimed at developing and validating a citizen science biomonitoring approach for river ecosystems based on the analysis of benthic macroinvertebrate communities. By using a calibration dataset composed of 932 sampling events performed by professionals, a simplified macroinvertebrate community was first obtained by selecting only 36 representative taxa. Four different, but routinely applied, metrics were calculated on both the simplified and calibration communities and showed strong and significant correlations. Thresholds for the four selected metrics were statistically derived and offered a good agreement in discriminating not-impacted and impacted conditions according to the official methodology. The performance of the proposed approach was validated on ten independent sampling campaigns with citizen science volunteers and compared to benchmark sites. Since 33 out of 36 taxa were recorded at least once, results showed that the simplified macroinvertebrate community was effective and representative. The ecological status assessment and the selected metrics were generally comparable to the values of the benchmark sites, despite some differences being observed depending on the metric. This study represents one of the first efforts in the direction of developing a citizen science macroinvertebrate-based methodology for river biomonitoring in Italy and it supports the adoption of a multi-metric approach.
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来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
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