environmental effects monitoring
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2019 ◽  
Vol 191 (11) ◽  
Author(s):  
Priscylla da Mata Pavione ◽  
Karla Gonçalves da Costa ◽  
Clayton Perônico ◽  
Mark E. McMaster ◽  
Joanne L. Parrott ◽  
...  

Diversity ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 155
Author(s):  
Kelly R. Munkittrick ◽  
Tim J. Arciszewski ◽  
Michelle A. Gray

In Canada, there is almost 30 years of experience in developing tiered and triggered adaptive monitoring programs focused on looking at whether environmental concerns remain when pulp and paper mills, or metal mines, are in compliance with their discharge limits. These environmental effects monitoring programs were based on nationally standardized designs. Many of the programs have been developed through multi-stakeholder working groups, and the evolution of the program faced repeated frictions and differing opinions on how to design environmental monitoring programs. This paper describes key guidance to work through the initial steps in program design, and includes scientific advice based on lessons learned from the development of the Canadian aquatic environmental effects monitoring program.


2019 ◽  
Vol 38 (9) ◽  
pp. 1890-1901 ◽  
Author(s):  
Bruce W. Kilgour ◽  
Kelly R. Munkittrick ◽  
Liza Hamilton ◽  
Catherine L. Proulx ◽  
Keith M. Somers ◽  
...  

FACETS ◽  
2018 ◽  
Vol 3 (1) ◽  
pp. 103-127 ◽  
Author(s):  
Michelle A. Gray ◽  
R. Allen Curry ◽  
Tim J. Arciszewski ◽  
Kelly R. Munkittrick ◽  
Sandra M. Brasfield

Recently, the use of small-bodied fish in environmental monitoring has increased, particularly within the Canadian environmental effects monitoring (EEM) and other adaptive programs. Although it is possible to measure changes with many small-bodied species, interpretation is often complicated by the absence of information on the biology and ecology of fish not of commercial, recreational, or traditional interest. Knowing and understanding the basic biology of these fishes aids in the sensitivity of study designs (i.e., ability to detect change) and the interpretation of all biological levels of responses (e.g., cellular to community). The increased use of slimy sculpin ( Cottus cognatus Richardson, 1836) in impact assessment studies in North America provides a considerable amount of information on life history aspects. The slimy sculpin has the most ubiquitous North American distribution among cottids but yet has a very small home range, thus integrating environmental conditions of localized areas. This paper describes aspects of slimy sculpin life cycle that affect collection efficiency and timing, and describes and provides data collected over more than 10 years of studies at more than 20 reference study sites. This overview provides a functional and informative compilation to support adaptive environmental monitoring and provide a baseline for comparative ecological study.


FACETS ◽  
2017 ◽  
Vol 2 (1) ◽  
pp. 212-232 ◽  
Author(s):  
K.E. Smokorowski ◽  
R.G. Randall

Often the Before-After-Control-Impact (BACI) design is suggested as being a statistically powerful experimental design in environmental impact studies. If the timing and location of the impact are known and adequate pre-data are collected, the BACI design is considered optimal to help isolate the effect of the development from natural variability. This paper presents 9 years of results from a long-term BACI experiment tested using a range of statistical models and post-impact monitoring designs. To explore suboptimal designs that are often utilized in environmental effects monitoring, the same data were also explored assuming either no control system was available (Before-After only), or that no pre-impact data were available (Control-Impact only). The results of the BACI design were robust to the statistical model used, and the BACI design was able to detect effects from the impact that the two suboptimal designs failed to detect. However, the BACI design demonstrated different conclusions depending on the number and configuration of post-impact years included in the analysis. Our results reinforce the idea that caution should be employed when using, or interpreting results from, a BACI design in an environmental impact study, but demonstrate that a well-designed BACI remains one of the best models for environmental effects monitoring programs.


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