Due to the soil formation factors and different geographic areas of Dukagjini Plain, particularly in Rahovec municipality, the variation of soil organic carbon is high. Soil organic carbon (SOC) has a crucial role in the determination of the physical, chemical and biological behaviour of the soil. The most common land use types of this area are vineyards, table grapes, horticulture such as peppers and cabbage, and arable lands such as maize, winter wheat, alfalfa, and meadows. Considering the lack of soil information data in Kosovo, it is necessary to have soil information about this territory. The main objectives of the present study are, therefore: i) to investigate and determine the concentration of the soil organic matter (SOM), SOC, nitrogen (N) and soil pH-H2O, using laboratory analysis, and ii) to show the spatial distribution of SOC, SOM, N and pH using the Kriging and inverse weighting interpolation methods. Spatial variability of soil chemical parameters such as SOM, SOC, N, and pH are important to be interpolated to view the changeable soil properties by kriging and inverse distance weighting method and to generate the continuous sample for site-specific management. Disturbed soil samples were collected from the top soil 0-30 cm and 30-60 cm depth, to determine selected soil chemical parameters, during June-July 2019. A large number of soil samples were collected, 2087 in the first horizon and 2065 in the second. The average of SOC of the first horizon was 0.91%, which variates from 0.07 to 4.06%, while in the second horizon was 0.0 to 2.84%, the average content of N in the first horizon was 0.09%, which variate from 0.01 to 0.60%, while in the second horizon was 0.0 to 0.39%, meanwhile, the average of soil pH-H2O in the first horizon was 7.67, which variates from 4.25 to 9.35, while in the second horizon was 7.79, which variate from 3.25 to 9.30.

Mediation of aquatic species has become an increasing problem for the last few decades. With the increasing commercial import, species' direct or indirect spread can gain more space. There are several ways for them to land in their new home and spread through the country. Most of the aquatic species are spread by waterways, boats, vehicles, or even with the help of humans. Cladocerans have a good dispersal ability, thanks to their small size, additionally they possess good adaptation, and mechanisms to develop resting eggs. Benthic or littoral species can be mediated much more easily due to their living space, and with the help of human activities (e.g., scientists, anglers and people working in water bodies) they have a higher chance to colonize new habitats. Our goal was to explore if Cladocera species might be mediated by a scientist chest wader, while sampling in similar-sized, close-to-each other lakes, with different utilization. Most of the species were found in abandoned fishing lakes, followed by oxbow lakes (protected), and ultimately in intensively fished lakes. NMDS showed that samples from lakes with the same utilization are similar to each other. Differently utilized lakes can have various Cladocera species, even though they are closely related to each other. Based on the results, scientists can mediate species on their chest wader from lake to lake and may deteriorate the results. We recommend a necessary chest wader cleaning after every sampling process, especially when samples are taken from differently utilized lakes.

Researches on the water-saving techniques in agriculture should be brought forward because of water resources shortages. The optimisation of irrigation strategies to increase water-use efficiency is an important factor in water security for the region. AquaCrop model based on FAO’s crop water productivity is used to simulate yield. In our study, the model was calibrated to the field measurements of the MATE ÖVKI Lysimeter Research Station. Four winter wheat cultivars were cultivated under non-limiting water range. Four different average yields were measured as 6.1 t/ha, 5.0 t/ha, 6.3 t/ha and 7.6 t/ha after the harvest on 6th of July 2020, respectively. The results of vegetative growth were inserted and simulated for the same climate conditions, field management, soil profile and groundwater parameters. Whereas we have achieved a yield of 6,1 t/ha 5,0 t/ha, 6,3 t/ha and 7,6 t/h with respective water productivity of 1.17 and 1.07 and 1.23 and 1.2 from the AquaCrop model schedule, respectively. In practice, water optimisation based on climate data and crop yield can help us achieve the goal. The crop cycle of the plants was a fixed value of 187 days and harvest index of 45% was used in model settings. Generation of sprinkler irrigation schedule developed from this research would provide information for farming communities to mitigate the occurrence of the adverse effect of climate change through innovative changes.