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Bivariate scatterplots and Pearson correlation coefficients (r) comparing water chemistry and quality measures collected at the random 'X' and associated modified-random 'B' sites
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The Wisconsin Department of Natural Resources (WDNR), with support from the U.S. EPA, conducted an assessment of wadeable streams in the Driftless Area ecoregion in western Wisconsin using a probabilistic sampling design. This ecoregion encompasses 20% of Wisconsin's land area and contains 8,800 miles of perennial streams. Randomly-selected stream...
Citations
... resulting from inter-annual variation in recruitment) and baseline turnover ( Dornelas et al., 2014). Here, analysis of statistical power should avoid Type II errors, i.e. the probability of not detecting a trend, when in fact there is one (Fairweather, 1991;Miller et al., 2009). ...
Freshwater ecosystems constitute only a small fraction of the planet's water resources, yet support much of its diversity, with freshwater fish accounting for more species than birds, mammals, amphibians or reptiles. Fresh waters are, however, particularly vulnerable to anthropogenic impacts, including habitat loss, climate and land use change, pollution and biological invasions. This environmental degradation, combined with unprecedented rates of biodiversity change, highlights the importance of robust and replicable programmes to monitor freshwater fish. Such monitoring programmes can have diverse aims, including confirming the presence of a single species (e.g., early detection of alien species), tracking changes in the abundance of threatened species, or documenting long-term temporal changes in entire communities. Irrespective of their motivation, monitoring programmes are only fit for purpose if they have clearly articulated aims and collect data that can meet those aims. This review, therefore, highlights the importance of identifying the key aims in monitoring programmes and outlines the different methods of sampling freshwater fish that can be used to meet these aims. We emphasize that investigators must address issues around sampling design, statistical power, species' detectability, taxonomy and ethics in their monitoring programmes. Additionally, programmes must ensure that high-quality monitoring data are properly curated and deposited in repositories that will endure. Through fostering improved practice in freshwater fish monitoring, this review aims to help programmes improve understanding of the processes that shape the Earth's freshwater ecosystems and help protect these systems in face of rapid environmental change.
... resulting from inter-annual variation in recruitment) and baseline turnover (Dornelas et al., 2014). Here, analysis of statistical power should avoid Type II errors, i.e. the probability of not detecting a trend, when in fact there is one (Fairweather, 1991;Miller et al., 2009). ...
Freshwater ecosystems constitute only a small fraction of the planet's water resources, yet support much of its diversity, with freshwater fish accounting for more species than birds, mammals, amphibians, or reptiles. Freshwaters are, however, particularly vulnerable to anthropogenic impacts, including habitat loss, climate and land use change, nutrient enrichment, and biological invasions. This environmental degradation, combined with unprecedented rates of biodiversity change, highlights the importance of robust and replicable programmes to monitor freshwater fish assemblages. Such monitoring programmes can have diverse aims, including confirming the presence of a single species (e.g. early detection of alien species), tracking changes in the abundance of threatened species, or documenting long-term temporal changes in entire communities. Irrespective of its motivation, monitoring programmes are only fit for purpose if they have clearly articulated aims and collect data that can meet those aims. This review, therefore, highlights the importance of identifying the key aims in monitoring programmes, and outlines the different methods of sampling freshwater fish that can be used to meet these aims. We emphasise that investigators must address issues around sampling design, statistical power, species' detectability, taxonomy, and ethics in their monitoring programmes. Additionally, programmes must ensure that high-quality monitoring data are properly curated and deposited in repositories that will endure. Through fostering improved practice in freshwater fish monitoring, this review will help programmes improve understanding processes that shape the Earth's freshwater ecosystems, and help protect these systems in face of rapid environmental change.
With the goal of making full use of water resources, a risk assessment of regional water resources and a forewarning model was studied in this paper. The model is built upon risk indexes in the system, proceeding from the whole structure and its component parts at different time scales. A long-term approach is taken to establish the long-term forewarning model of regional water resources with three levels of prediction, assessment, and forewarning. An hydrological model is employed to simulate the further value of an index. Set pair analysis method is adopted to calculate the connection degree of index risk and systematic risk through a multivariate connection number, while the weight of a single index is determined on the different influences and their respective connection degrees are updated. The comprehensive assessment is made by an assessment matrix with connection degree of comprehensive index. The comparison judging method is used to compartmentalize the warning degree of water resources on risk assessment comprehensive index with forewarning standards, and then the long-term local conditions for proposing the planning scheme of water resources. A real-time forewarning approach is also used to establish the real-time forewarning model of regional water resources, which introduces the real-time correction technique of the Kalman filter based on the long-term forewarning model, and then the real-time local conditions for proposing an emergency plan for water resources. The application results show that the proposed model has strong logical superiority and regional adaptability with a strict theoretical system, flexible methods, correct and reasonable results, and simple implementation, providing a new way for researching on the risk assessment and forewarning of regional water resources. (C) 2013 American Society of Civil Engineers.
