Browsing by Author "Windmuller-Campione, Marcella A."
Now showing 1 - 6 of 6
Results Per Page
Sort Options
Item Current Status and Trends of Silvicultural and Forest Health Practices in Minnesota: A 2017 Assessment(University of Minnesota, 2019-04) Windmuller-Campione, Marcella A.; Russell, Matthew B.; Sagor, Eli S.; Rodman, Madison G.Item Economic-threshold-based classification of soybean aphid, Aphis glycines, infestations in commercial soybean fields using Sentinel-2 satellite data(Crop Protection, 2023-12) Ribeiro, Arthur V.; Lacerda, Lorena N.; Windmuller-Campione, Marcella A.; Cira, Theresa M.; Marston, Zachary P.D.; Alves, Tavvs M.; Hodgson, Erin W.; MacRae, Ian V.; Mulla, David J.; Koch, Robert L.The soybean aphid (SBA), Aphis glycines Matsumura (Hemiptera: Aphididae), is a significant insect pest of soybean, Glycine max (L.) Merrill (Fabales: Fabaceae), and field treatment decisions for this pest are based on average field populations. Previous studies indicated that ground- and drone-based red-edge and near-infrared remote sensing can be used to detect plant stress caused by SBA infestations in soybean. However, it remains to be determined if remote sensing for SBA can be expanded to field or landscape scale using satellite-based platforms. Thus, this research was conducted in three steps to determine the potential of using Sentinel-2 satellite data for the classification of SBA infestations in soybean fields using simulated and actual Sentinel-2 satellite spectral reflectance. In the first step, as a proof of concept, hyperspectral data from cage studies were used to simulate Sentinel-2 bands and vegetation indices (VIs), conducted in nine trials at multiple locations between 2013 and 2021. The effects of SBA from caged plants on simulated data were evaluated with random intercept linear mixed models. The satellite simulation indicated a significant effect of SBA on the spectral reflectance of caged soybean plants (p < 0.05) for four satellite bands (5, 6, 7, and 8A) and five VIs (NDVI, GNDVI, SAVI, OSAVI, and NDRE). In the second step, actual Sentinel-2 spectral reflectance and corresponding aphid counts of commercial soybean fields, collected from 2017 to 2019, were obtained. The relationship between SBA counts and Sentinel-2 spectral reflectance from commercial soybean fields were evaluated with general linear models. A significant effect of SBA was observed for three satellite bands (6, 7, and 8A) and three VIs (NDVI, SAVI, and OSAVI). In the third step, linear support vector machine (LSVM) models for the classification of SBA infestations as above or below a previously determined economic threshold of 250 aphids per plant were developed using simulated Sentinel-2 bands and VIs from the caged plots, and were tested on actual Sentinel-2 data from commercial soybean fields. The best LSVM model for the classification of aphids in soybean reached 91% accuracy, 85.7% sensitivity, and 93.3% specificity. Thus, simulations with caged plots can be used as an indication of the potential of using satellite data for the detection of plant stresses on a larger scale. Furthermore, this study advances decision-making for SBA, and the developed LSVM model can be used to update regional and local monitoring for the management of SBA.Item Identification of Annual Flood Durations Associated with Tree Species in the Upper Mississippi River System Floodplain, with Applications to Forest Restoration(University of Minnesota, 2020-05) Ingvalson, Derek S.; Windmuller-Campione, Marcella A.; Meier, Andrew R.The Upper Mississippi River System (UMRS) is a highly altered river complex in the Midwestern United States that has been managed to provide a unique balance of economic, recreational, and environmental benefits to society. Manipulation of the river’s flows to support this multipurpose system has resulted in dramatic changes to the structure and function of various aquatic and terrestrial habitats, including floodplain forests. There is increased interest in restoring floodplain forests in the UMRS; however, the silvics of individual species and dynamics of floodplain forest stands are only marginally understood. The purpose of this study was to i) identify growing season flood durations that are suitable for individual tree species in the UMRS and (ii) demonstrate how those results can be applied at the project scale for use in forest restoration and management. The 10th, 50th, and 90th percentile values of average annual growing season flood duration were identified for 17 UMRS tree species by integrating a spatially explicit forest inventory dataset from Mississippi River pools 3-10 with plot level elevation data and estimates of average annual growing season flood duration for the nearest river mile. This range was used to describe the ecological amplitude of each species related to hydrologic conditions, with annual days of inundation providing a measure of hydrologic variability. The results of this study demonstrate the varying flood tolerance of UMRS floodplain forest trees at the species level and can be used by river managers to aid in the development of planting plans and the design of habitat restoration and enhancement efforts.Item Remote and Seasonal Field Detection of Eastern Spruce Dwarf Mistletoe in Northern Minnesota(St. Paul, Minnesota : School of Forestry, University of Minnesota, 2022-01) Windmuller-Campione, Marcella A.; Moser, R. LaneItem Stand Inventories as an Early Detection System for Forest Health Threats(Forest Science, 2023) Klockow, Paul A.; Edgar, Christopher B.; Windmuller-Campione, Marcella A.; Baker, Fred A.Pest-specific inventories require substantial resources and are often infeasible, creating a need for alternative means of early pest detection. We examined the potential for stand inventories to detect forest health threats by using a unique dataset of mapped eastern spruce dwarf mistletoe (Arceuthobium pusillum Peck.) infestations in black spruce (Picea mariana Mill. B.S.P) stands of northern Minnesota, USA. We simulated stand inventories across a range of sampling intensities; that is, current standard (S) methods in Minnesota, adding one plot (S + 1), doubling the intensity (2S), and halving the intensity (S/2), using fixed-radius plots and transect buffers for detection. We categorized stands into low, moderate, and high infestation severity. We simulated detection at multiple viewing distances along S inventory transects in low severity infestation stands. Detection probability increased as sampling intensity increased. Plot-based detection averaged > 50% for moderate and high severity infestations except S/2 in moderate severity infestations. Notably, transect-based detection averaged ≥ 85% at viewing distances of 25 to 100 m. Results suggest stand inventories could provide opportunities to detect forest health threats with unique signatures when transect observations are included. Thus, forest health specialists may consider including pest-specific training for foresters in current inventory methods, requiring modest investment of time and effort.Item Two years of monitoring health and growth of planted seedlings in a floodplain forest at Kains Switch South(2022-06-27) Windmuller-Campione, Marcella A.; Van Appledorn, Molly; Meier, Andrew; Reuling, Laura; mwind@umn.edu; Windmuller-Campione, Marcella AThe study site is within the Kains Switch South (KSS) forest management site, a U. S. Army Corps of Engineers’ forest management site located on the western edge of the Upper Mississippi River floodplain between river miles 668.2 and 670.3 and within navigation Pool 9. The site is approximately 5 miles (8 km) south of New Albin, IA, and the Minnesota/Iowa border in Allamakee County, IA. Nine plots were established at KSS spanning an elevation gradient, with three plots per elevation quantile (high, 626.5 to 628.5 ft [190.9 to 191.6 m]; intermediate, 624.5 to 626.5 ft [190.3 – 190.9 m]; and low, 622.5 to 624.5 ft [189.7 to 190.3 m]). A total of 64 seedlings were planted in each plot in an 8 x 8 grid with 10 ft x 10 ft cell sizes (3 by 3 m), with 16 individuals representing each of the following species: swamp white oak (Quercus bicolor Willd.), silver maple (Acer saccharinum L.), sycamore (Platanus occidentalis L.), and hackberry (Celtis occidentalis L.). Orientation of the grid was north/south. Species’ cell assignments were random and placement within the 10 ft x 10 ft (3 by 3 m) cell was also random. Initial measurements of species, basal diameter, height, and initial notes regarding seedling vigor and health and evidence of herbivory occurred in June 2020. End-of-growing-season measurements (same as initial variables) occurred in September 2020 and October 2021 and included the same measurements as the initial measurements. An additional survival assessment occurred in June 2021.