IoES Critical Ecology Lab Practicum Team
IoES Critical Ecology Lab Practicum Team
A snippet of Oxholm's 1778 map of Christiansted featuring Company's Quarter estate #5, estate Little Princess, commonly labeled Little Princesfe on the Dutch maps of the time.
source: Windmills of St. Croix, "1778 Oxholm Map of Little Princess"
Paper which reads, "Practicum Group is in 7127B, off the AOS admin office," our beloved meeting place throughout the quarters.
Find and decipher historical documents to provide us with quantifiable factors such as sugar production output and enslaved population
2. Conduct spatial analyses on the abiotic factors of St. Croix
3. Understand how characteristics of soil samples collected from regions impacted by plantation activity vary from soil samples collected within old-growth forests on St. Croix
4. Aid the Critical Ecology Lab in understanding the impact of Danish colonial plantations on St. Croix’s ecology today
How have Danish colonial plantations impacted secondary forest regrowth on St. Croix today?
2. What specific historical variables are readily available and quantifiable to measure plantation intensity?
3. What can remotely sensed data, specifically Landsat data, tell us about forests (primary and secondary) on St. Croix?
4. How do the characteristics of soil samples collected from regions impacted by plantation activity vary from soil samples collected within old-growth forests on St. Croix?
5. Does plantation use intensity impact the biogeochemical state of soils in the area today?
GIS (Geographic Information System) : a system that creates, manages, analyzes, and maps all types of geographically referenced information.
Will Be Used To:
identify and digitize historical plantation data
conduct a variety of spatial analyses of data
create informational and aesthetically pleasing figures depicting how plantation intensity on St. Croix impacts forest structure on the island today.
conduct various analyses on this data within ArcGIS
i.e., spatial joins
raster calculations and overlays
terrain analysis
table to point conversions
to produce figures of use for our client.
Will Be Used To:
create a time series showing changes in forests over the past 50 years
predict modern forest health by creating an NDVI (normalized difference vegetation index) to indicate forest health
retrieve Landsat data from EarthExplorer, and analyze in SNAP (Sentinel Application Platform) or ArcGIS Pro
examine vertical structures and canopy density as another way to look at secondary forests with LiDAR data from NOAA
further to supplement GIS spatial analyses. Given enough time, remote sensing assistants will determine evapotranspiration (ET) values for St Croix forests as a secondary measure of forest health
Labwork will consist of:
extracting eDNA from soil samples, including archived and fresh, from plantations and primary forests
conduct a polymerase chain reaction (PCR) and gel electrophoresis to find the concentration of eDNAs
sending eDNA to an off-campus facility to get sequenced for future analysis
quantify the bacterial and fungal concentration in the soil samples via quantitative PCR (qPCR)
possibly conduct proteomics on the soil to evaluate and identify the proteins present in the soil