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Last modified
12/16/2009 7:48:48 AM
Creation date
12/15/2009 4:04:08 PM
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Water Conservation
Project Type
General OWC
Title
Designing Impact Assessments for Evaluating Ecological Effects of Agricultural Conservation Practices on Streams
Date
12/15/2009
Water Conservation - Doc Type
Reports
Supplemental fields
Drought Mitigation - Doc Type
News Article
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SMILEY, SHIELDS, AND KNIGHT <br />and multiple control streams before and after imple- <br />mentation of the treatment (Table 2). The impact vs. <br />control sites design is intended for situations where <br />the investigator is unable to replicate the treatment, <br />but can replicate the control. We consider unreplicat- <br />ed and unbalanced designs less desirable than repli- <br />cated designs. However, unreplicated BACI designs <br />and impact vs. control sites with an adequate tempo- <br />ral scale (i.e., a minimum of two years before and two <br />years after data) would be preferable to unreplicated <br />before —after studies because these experimental <br />designs incorporate a control site (or sites) for com- <br />parison with the treatment stream. <br />Large scale studies similar to monitoring studies <br />are also capable of providing useful information on <br />the influence of conservation practices if the selection <br />of sampling sites is conducted so a continuum of habi- <br />tat conditions encountered are within the context of <br />the a priori hypothesis. For example, one could exam- <br />ine the influence of streamside buffers by sampling <br />sites with riparian buffer widths ranging from 0 (no <br />buffer) to 100 m. This type of study would be consid- <br />ered a gradient design (Table 2), and its disadvantage <br />is that causality can not be inferred from correlation. <br />However, the gradient design is an effective tool that <br />enables investigators who lack the opportunity or <br />authority to control the implementation of conserva- <br />tion practices to document useful information about <br />the potential effects of conservation practices. <br />All experimental designs discussed above are <br />imperfect and have inherent flaws. It is feasible that <br />valuable information could be obtained from impact <br />assessments using alternative designs that we failed <br />to consider. However, we feel success in evaluating <br />ecological impacts does not depend on the experimen- <br />tal design alone, but selecting experimental designs <br />on the basis of the hypothesis of interest and recog- <br />nizing the limitations of the chosen experimental <br />design in determining causality. <br />Assess the Habitat and Biological Characteristics <br />With Quantitative and Repeatable Sampling Methods <br />measured once a year (e.g., sinuosity). Concurrent <br />assessment of habitat and biological characteristics <br />leads to more robust evaluations of conservation prac- <br />tices than evaluations that assess either type of char- <br />acteristics alone (Maddock, 1999). Concurrent <br />measurement of habitat and biota also enable the <br />investigator to identify habitat factors that contribute <br />to the biological changes and establish causal links to <br />conservation practices (Simonson et al., 1994). We are <br />not recommending the measurement of all possible <br />habitat variables, instead, we recommend that habi- <br />tat variables are selected based on the hypothesized <br />effects of the conservation practice on the habitat. We <br />anticipate the selection of taxonomic groups (e.g., <br />macroinvertebrate, fish, amphibian, or reptile) to <br />evaluate will depend on the research interests of the <br />investigator. We also recommend evaluating multiple <br />taxonomic groups when possible, because different <br />biota have different habitat criteria and will respond <br />differently to habitat changes (Lake, 2001). <br />Use of quantitative and repeatable methods is nec- <br />essary to assess how the habitat and biota change <br />through time and space. We focus on the importance <br />of this recommendation for habitat sampling because <br />of the prevalence of the use of qualitative habitat <br />measurements used by regulatory agencies in the <br />U.S. Specifically, these qualitative protocols involve <br />visual estimation of habitat variables such as water <br />velocity, substrate types, and riparian habitat condi- <br />tions. Qualitative assessments are quicker, but these <br />methods should be avoided because the introduction <br />of observer bias affects repeatability and objectivity <br />(Somerville and Pruitt, 2004). Specifically, we recom- <br />mend transect -based sampling (Gorman and Karr, <br />1978) using permanent transects for measurement of <br />geomorphology, riparian habitat characteristics, and <br />instream habitat. Additionally, systematically placing <br />transects throughout a site reduces observer bias. <br />Transect -based habitat measurements are widely and <br />successfully used to characterize stream habitat con- <br />ditions and ensure the repeatability and comparabil- <br />ity of habitat data across space and time (Simonson <br />et al., 1994; Wang et al., 1996; Shields et al., 1998). <br />Habitat characteristics include chemical, hydrologi- <br />cal, geomorphological, and other physical descriptors <br />of lotic ecosystems that form the space that living <br />things occupy. We recommend that habitat and bio- <br />logical characteristics be measured at spatial and <br />temporal scales that allow the investigator to explore <br />the relationships between the habitat and the biota. <br />For some habitat variables this might mean taking <br />measurements on the same day the biological vari- <br />ables are measured (e.g., water depth), while other <br />habitat factors that are not expected to fluctuate <br />significantly during the year may only need to be <br />JAWRA <br />Use Multiple Sampling Techniques for Collecting <br />Aquatic Organisms <br />All sampling techniques for aquatic organisms are <br />biased towards the capture of certain sizes and types <br />of organisms. The observed results of impact assess- <br />ments may differ among sampling techniques as a <br />result of sampling biases (Scarsbrook and Halliday, <br />2002). The use of more than one gear type is an effec- <br />tive way to account for sampling biases of individual <br />techniques and obtain data of sufficient quality (Karr, <br />872 JOURNAL. OF THE AMERICAN WATER RESOURCES ASSOCIATION <br />
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