1,721,157 research outputs found
Evaluating Old Age for Forests in Minnesota from Forest Inventory Records
Wilson, David C.; Ek, Alan R.. (2017). Evaluating Old Age for Forests in Minnesota from Forest Inventory Records. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/216443
Description and Implementation of the Great Lakes Forest Projection System (GLFPS)
Wilson, David C.; Ek, Alan R.. (2020). Description and Implementation of the Great Lakes Forest Projection System (GLFPS). Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/216450
Evidence of Rapid Forest Change in Minnesota
Wilson, David C.; Ek, Alan R.. (2018). Evidence of Rapid Forest Change in Minnesota. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/216445
Minnesota moose population: using forest inventory data to assess changes in habitat
Wilson, David C.; Ek, Alan R.. (2013). Minnesota moose population: using forest inventory data to assess changes in habitat. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/170429
Stand Volume, Biomass and Carbon Equations for the Upper Great Lakes Region
Wilson, David C.; Ek, Alan R.. (2019). Stand Volume, Biomass and Carbon Equations for the Upper Great Lakes Region. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/216448
FACCS Application
Wilson, David C.; Domke, Grant M.; Ek, Alan R.. (2014). FACCS Application. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/169534
Cost-effective Forest Inventory Designs: Field Data Collection
Ek, Alan R.; Wilson, David C.; Edgar, Christopher B.; Zobel, John M.. (2018). Cost-effective Forest Inventory Designs: Field Data Collection. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/216444
Forest Age Class Change Simulator (FACCS): A spreadsheet-based model for estimation of forest change and biomass availability
1 electronic resource (PDF; 21 pages)This research was funded by the Interagency Information Cooperative, University of Minnesota Department of Forest Resources and the Minnesota Agricultural Experiment Station under project MIN 42-019.Wilson, David C.; Domke, Grant M.; Ek, Alan R.. (2014). Forest Age Class Change Simulator (FACCS): A spreadsheet-based model for estimation of forest change and biomass availability. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/170674
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
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