Browsing by Subject "Forest ecology"
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Item Data and code for remote spectral detection of biodiversity effects on forest biomass(2020-08-26) Williams, Laura J; Cavender-Bares, Jeannine; Townsend, Philip A; Couture, John J; Wang, Zhihui; Stefanski, Artur; Messier, Christian; Reich, Peter B; will3972@umn.edu; Williams, Laura JQuantifying how biodiversity affects ecosystem functions through time over large spatial extents is needed to meet global biodiversity goals yet is infeasible with field-based approaches alone. Imaging spectroscopy is a tool with potential to help address this challenge. In this study, we demonstrated a spectral approach to assess biodiversity effects in young forests that provides insight into its underlying drivers and could potentially be applied at large spatial scales. Using airborne imaging (NASA AVIRIS-NG) of a tree diversity experiment (IDENT-Cloquet in Cloquet, MN), spectral differences among plots enabled us to quantify net biodiversity effects on stem biomass and canopy nitrogen. In this repository, we present the spectral data and field data along with spectral model coefficients and example code for fitting and applying spectral models to calculate spectral biodiversity effects.Item Evaluation Plan for an Earthworm Rapid Assessment Tool Training Program for Land Managers in Northern Hardwood Forest Types in the Western Great Lakes Region(2012) Hueffmeier, Ryan MInvasive species are causing environmental and economic harm all across the globe. Stopping the introduction of non-native species is the most effective way to deal with them. Non-native earthworms are one particular invasive species affecting the Great Lakes region. There is a need for a rapid assessment method to understand current impacts and identifying areas still earthworm-free. Through research in Minnesota and Wisconsin an Invasive Earthworm Rapid Assessment Tool (IERAT) was developed. The IERAT is a tool for the identification of earthworm impacts using visual indicators. Once earthworms are established there is no known effective way to remove them from the landscape and it is proposed that outreach and education are an effective method to prevent new introductions and to slow the spread of earthworms in northern hardwood forests of the Great Lakes region. This project develops the evaluation framework of the IERAT training. Using the framework evaluators will be assessing the tools’ validity, reliability of land mangers to use the tool, ability of trainers to conduct workshops, best dissemination techniques, changes in participants’ knowledge, attitudes and behaviors from before and after the training, and effects on management decisions. The evaluation plan will be carried out during the second year of training season. The results of the evaluation will be used to make appropriate adjustments to the IERAT and trainings. With earthworm distribution data that the IERAT provides, land managers will be able to develop important areas of protection and work with other interested parties to protect these areas for future generations.