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Proper design and implementation of environmental sampling and monitoring programs need to be considered, based on the sound application of physical, chemical, and biological processes.
Finally, funding mechanisms capable of supporting long-term monitoring programs need to be established, with programs in Michigan and Minnesota serving as potential models.
Bat monitoring programs need to correct for this, most importantly through the use of sampling protocols that rely on strictly standardized approaches and a well-balanced design, or a posteriori by using appropriate statistical models so as to avoid the detection of spurious trends.
Consequently, standardized global monitoring programs need to be implemented to assess changes in biodiversity and relate those changes to possible causes.
Secondly, monitoring programs need to be designed with adequate estimator precision and statistical power to detect a desired change, for example an increase in species abundance in response to interventions [11] [13].
When conservation biologists and stakeholders realize this, sampling and monitoring programs need to be changed accordingly.
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This work provides a baseline against which to compare future changes in water quality and may be used to design future monitoring programs needed to assess restoration strategy efficacy.
Finally, a global monitoring program needs to facilitate and secure funding for the collection of long-term data and to detect and fill gaps in under-observed regions and taxa.
Future projects are likely to continue to have significant amounts of regulatory uncertainty as their respective project designs and monitoring programs will need to be evaluated by regulators on a case-by-case basis.
To support the development and implementation of biological monitoring programs, we need quantitative technologies for measuring xenobiotic exposure.
An integrated research and monitoring program is needed to link the processes and mechanisms of MeHg production, bioaccumulation, and transfer with MeHg exposure in humans.
Related(20)
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