Schinina, Roberto (2025) Spatial and environmental drivers of zooplankton communities in Svalbard. Master's Internship Report, Applied Mathematics.
|
Text
mAppM2025SchininaR.pdf Download (1MB) | Preview |
|
![[img]](https://fse.studenttheses.ub.rug.nl/style/images/fileicons/text.png) |
Text
Toestemming Schinina.pdf Restricted to Registered users only Download (188kB) |
Abstract
The relationship between zooplankton in the Arctic region is poorly understood. This is particularly due to the region’s extreme environmental conditions, such as the limited presence of light during the year, little precipitation, and low temperatures that, in winter, cover the area with snow and ice. In this paper, we analyze data that was collected during the summer seasons between 2018 and 2024 in shallow freshwater ponds. In particular, we used redundancy analysis to find the main environmental drivers of zooplankton, which turn out to be conductivity, pH, and depth (but not temperature). Moreover, we performed spatial analysis on the data, where we proved that there are significant spatial structures that, however, cannot be traced back to the sampled environmental variables. Lastly, we study whether kriging can be a useful method for predicting diversity at a given pond by training a model that incorporates all studied years via a spatial trick.
| Item Type: | Thesis (Master's Internship Report) |
|---|---|
| Supervisor name: | Grzegorczyk, M.A. and Krijnen, W.P. |
| Degree programme: | Applied Mathematics |
| Thesis type: | Master's Internship Report |
| Language: | English |
| Date Deposited: | 03 Sep 2025 09:52 |
| Last Modified: | 03 Sep 2025 09:52 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/36974 |
Actions (login required)
 |
View Item |