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Natural Resources Research Institute Technical Report
No full textMinnesota Forest Resources Council
Minnesota Department of Natural Resources
Contract # 12-DG-11242307-12Host, George E; Kovalenko, Katya; Meysembourg, Paul. (2018). Assessing forest land conversion risk to maintain water quality in North Central Minnesota. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/241674
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Watershed-based Stressors for the Great Lakes Basin
No full textThe Watershed-based Stressors for the Great Lakes Basin dataset includes component and aggregated measures of environmental stress to coastal ecosystems from watersheds of the Great Lakes Basin. Stressors include the amount of agricultural and developed land use, as well as road and population density. These summaries are based on a set of 5971 watersheds that cover the US and Canadian Great Lakes basin, derived using methods from Hollenhorst et al. (2007). Indices presented in this dataset include SumRel (Host et al. 2011) and the more recent combined Agriculture and Development - AgDev index (Host et al. 2019). A brief description of the AgDev "Euclidean Distance" stressor integration, with R code, is here:
https://github.com/NRRI/stressor_lib/tree/master/euc_distance
Use agdevbasn in preference to sumrel. For historical reference, for SumRel: we evaluated a number of normalizing transformations for each variable, including log, ln, and arcsine transformations. The use of high-resolution watersheds resulted in a large number of zeros (i.e. non-occurrence of the stressor) for many of the variables. The best results were obtained using a log10 transformation of non-zero values. Each of the five variables data values (x) were transformed to log10 (x), using the minimum non-zero value of x to replace zero values. These transformed (x') values were then standardized, (x'-m)/s, with m and s being the mean and standard-deviation for all x', respectively. These standardized values (x'') were then normalized, (x''-min)/(max-min), with min and max being the minimum and maximum for all x'', respectively. Finally the five x'' values for each variable in each watershed were summed and the summed values normalized again to give a single number - SumRel - for each watershed. SumRel ranges from 0.0-1.0, with 1.0 representing the maximum composite stress within a geographic coverage of interest. Note that this design allows stressor scores to be calculated for any given spatial extent - from local watersheds to an ecoregion, lake, or basin.The Watershed-based Stressors for the Great Lakes Basin dataset includes component and aggregated measures of environmental stress to coastal ecosystems from watersheds of the Great Lakes Basin. Stressors include the amount of agricultural and developed land use, as well as road and population density. These summaries are based on a set of 5971 watersheds that cover the US and Canadian Great Lakes basin, derived using methods from Hollenhorst et al. (2007). Indices presented in this dataset include SumRel (Host et al. 2011) and the more recent combined Agriculture and Development - AgDev index (Host et al. 2019). These were developed as part of the Great Lakes Environmental Indicators II (GLEI-II) project, funded through the Great Lakes Restoration Initiative and used to quantify the response of biota (birds, fish, macroinvertebrates, diatoms and wetland vegetation) to varying degrees of watershed stress (Kovalenko et al. 2014). As of 2015, a more recent version of watersheds has been created by the Great Lakes Aquatic Habitat Framework and stressors recalculated based on those watersheds.GLEI-II was funded by a Great Lakes Restoration Initiative grant through the U.S. Environmental Protection Agency Great Lakes National Program Office (GL-00E00623-0).Host, George; Kovalenko, Katya; Brown, Terry; Johnson, Lucinda; Ciborowski, Jan. (2024). Watershed-based Stressors for the Great Lakes Basin. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/28r6-bq38
Natural Resources Research Institute Technical Report
No full textThe original version of this report (published April 2020) contained a calculations error; this revised version (published June 2020) has been corrected.Beavers (Castor canadensis) play a substantial role in coastal Lake Superior ecosystems, as the creation of beaver dams and ponds results in riparian habitat that can be vastly different from habitats before beaver activity (Naiman et al. 1988, Rosell et al. 2005). Beaver dams can influence water temperatures, flow regimes, channel morphology, and sediment dynamics (Gurnell 1998, Pollock et al. 2003, Westbrook et al. 2006, Burchsted et al. 2010, Bouwes et al. 2016). Understanding where beavers are likely to build dams and ponds has many practical implications for resource managers and citizens. Current climate models have predicted an increase in the prevalence of extreme precipitation events that may cause an increase in erosion and flooding events in the North Shore (Herb et al. 2016). Beaver dams have been shown to mitigate the downstream effects of high-precipitation events by reducing stream energy and increasing water retention time (Law et al. 2016, Puttock et al. 2017, Karran et al. 2017); their presence in the North Shore may be an important natural mechanism for minimizing impacts from natural hazards. But they also may have an adverse effect on fisheries, particularly steelhead (Oncorhynchus mykiss) and brook trout (Salvelinus fontinalis) (Johnson-Bice et al. 2018), leading to controversy within coastal communities and complex management decisions.
The goal of this study was to create a model that predicts potential beaver dam locations based on existing habitat characteristics, stream gradient, and stream power and flow estimates. Building from an existing data set that includes spatial information of beaver-created wetlands within five North Shore watersheds, we also conducted a rapid assessment of water and sediment storage contained within beaver ponds across the North Shore. The key deliverables of this project are:
● An interactive online map showing historic and potential beaver dam locations
● Estimates of water and sediment storage in North Shore beaver wetlands
● A downloadable spatial database of existing and predicted beaver dam locations, with FGDC-compliant metadata
● This report describing methods, results, and interpretations
These products will be important for resource managers that make land-use decisions based on current and future hydrologic and sediment pathways in Lake Superior tributaries.Johnson-Bice, Sean; Gorzo, Jessica; Kovalenko, Katya; Brown, Terry; Host, George E. (2020). Predicting Potential Beaver Dam Sites on Lake Superior's North Shore. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/213760
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