Clouds play an important role in maintaining the balance in the environment. Cloudiness can influence numerous important ecological drivers, including growth, survival and distribution of plants. The cloud cover dynamics and distribution may provide key information for delineating various types of plant and species distribution. During a year, different types of clouds on a territory can influence the distribution of plants and potential of cloud seeding. New properties of cloudiness may be important for new ecological patterns and new adapted values of ecological drivers. In the territory of the Republic of Moldova, 30 years of cloudiness were taken to show new distribution of clouds properties and their influence on sunflower (Helianthus annus L.) and grapes (Vitis vinifera). The main result of this research is the first established map with the location of water derived from cloud seeding. In the last decade (2010–2020), the cloudiness increased by more than 15%. Another important focus of this research is the possibility of cloud seeding in line with recent deficit of precipitation, especially in dry areas. The territory of Moldova has 37% of semiarid and 6% of arid zones. The distribution and the potential of cloud seeding has been analyzed by means of Remote Sensing and GIS techniques and methodology, along with the Moderate Resolution Imaging Spectroradiometer. Satellite data in the resolution of 1 km² were downloaded for the period between 1990 and 2020. The exact distribution of clouds helped to determine the belts for the potential irrigation of crops. Extremely low cloudiness and a long period of drought may jeopardize the agricultural sector in the Republic of Moldova, and therefore, the irrigation from alternative water sources is of utmost importance.

This study investigates travel behavior and psychosocial factors that influence it during the COVID-19 pandemic. In a cross-sectional study, using an online survey, we examined changes in travel behavior and preferences after lifting travel restrictions, and how these changes were influenced by exposure to COVID-19, COVID-19 travel-related risk and severity, personality, fear of travel, coping, and self-efficacy appraisals in the Romanian population. Our results showed that participants traveled less in the pandemic year than the year before—especially group and foreign travel—yet more participants reported individual traveling in their home county during the pandemic period. Distinct types of exposure to COVID-19 risk, as well as cognitive and affective factors, were related to travel behavior and preferences. However, fun-seeking personality was the only major predictor of travel intention, while fear of travel was the only predictor of travel avoidance. Instead, people traveled more cautiously when they perceived more risk of infection at the destination, and had higher levels of fear of travel, but also a high sense of efficacy in controlling the infection and problem-solving capacity. The results suggest that specific information about COVID-19, coping mechanisms, fear of travel, and neuropsychological personality traits may affect travel behavior in the pandemic period.