3 research outputs found

    Mining of Red Marble Quarry, Washington

    No full text
    The Red Marble Quarry is located near Chewelah, Washington within the Huckleberry Mountains. The quarry is an open pit mine that was once sourced for Magnesite, and it remains an active waste pile that sources materials such as basalt, sand, and gravel. Magnesite is a significant iron ore deposit. The area can be characterized by the red magnesite rock outcrops known as the Crosby Deposit and a belt of quartzite that underlays the Crosby Deposit. The Deer Trail group, Stensgar dolomite, and Huckleberry Greenstone can also be found in the area. The magnesite sourced from the quarry did not show enough economic value to continue its mining operation at the time. By analyzing LiDAR imagery of the area, the amount of material removed during the mining operation from Red Marble Quarry may be determined. Possibilities for reclamation or continued mining can also be concluded

    Spatial Reconstruction of Historical Fires in the Pine Rocklands on Big Pine Key, Florida

    No full text
    Fire is essential in ecosystems for maintaining habitat and vegetation. Fire regimes in pine rocklands naturally follow a pattern of high-frequency, low-intensity fires. This curtails fuel load accumulation and preserves fire-tolerant plant species composition. In 2011, a prescribed fire escaped control in pine rocklands on Big Pine Key and burned near a residential area, causing community backlash. South Florida Slash Pine (Pinus elliottii var. densa) is the dominant canopy tree species in the dry rockland ecosystem of the National Key Deer Refuge on Big Pine Key. Previous work reconstructed fire regimes for pre- (1911- 1956) and post-management (1957-2014) periods, evaluating fire history metrics for two levels of burn percentages. This previous work found fire return intervals were statistically different for both periods (p \u3c 0.01), but similar for \u3e 10% and \u3e 25% fires (p \u3e 0.10). To build on the reconstructed fire activity, we used GIS to spatially analyze fire activity for each of the 21 major fire years (\u3e 25%). We generated raster surfaces of large fires using Inverse Distance Weighted and Kriging methods on the fire-scarred tree data. We found that fires burned in different spatial arrangements for each major fire year in various locations across the study area. The 2011 fire was no more spatially extensive than other large fires in the dataset. These results support those of the time series analyses previously conducted and help show the 2011 fire was a healthy, beneficial fire to the ecosystem