More information
Description
The essence of the project is to use modern geo-information methods and current knowledge to create new procedures for integrated management to minimize annually recurring calamitous mosquito populations, with special attention to the conservation of biodiversity in Litovelské Pomoraví Protected Landscape Area (PLA). The project''s objectives are following the State Environmental Policy of the Czech Republic 2030 with a view to 2050, as well as the Strategy for Adaptation to Climate Change in the Czech Republic. An advanced landscape model, which will be created using continuously updated sensor and image data, will concentrate and evaluate knowledge about the landscape, record planned and implemented interventions, and predict the state of the territory in terms of the risk of calamity. With the precautionary principle in mind, the concentration of larvicides will be reduced. The application of larvicides will be more precise, thereby significantly reducing the input of foreign substances into the floodplain forest habitat. The selective application will maintain the necessary presence of mosquitoes in the floodplain forest ecosystem. They are part of the food chain for many important organisms (fish, birds, bats). The decrease of this group can lead to a significant impact on the life cycle of associated predators of other organisms. With developed management, it will be possible to control calamity conditions according to strategic documents. The Norwegian University of Science and Technology partner will help to implement contemporary knowledge about the Citizen Science approach and bring valuable experience in developing a prediction model responding to climate change.
Summary of project results
The MOSPREMA project was launched to address mosquito calamities impacting ecosystems and biodiversity. It aimed to reduce the need and quantity of larvicides, minimizing their indiscriminate environmental impacts. The project introduced integrated management to protect biodiversity in sensitive floodplain forests by addressing specific conditions. Innovative technologies like sensor networks and 3D modeling enabled more efficient mosquito monitoring and management based on real-time data and predictions. Public awareness about mosquito-related issues was enhanced, involving citizens in environmental protection. The project effectively protected local ecosystems from adverse effects of improper management practices, responding to complex challenges of nature conservation and health in specific regional contexts.
The following key activities were implemented within the project: data collection using airborne laser scanning for 3D terrain modeling, establishment and operation of a sensor network, hydrobiological and zoological surveys and biochemical analyses. These activities have contributed to understanding mosquito-environment linkages and optimizing the use of larvicides, which protect aquatic ecosystems and contribute to biodiversity conservation. Implementing sensor networks and predictive models has enabled more effective monitoring and the ability to respond adequately to emerging calamities.
3D models of the area allowed more accurate identification and monitoring of mosquito hatcheries. Sesnosr network integration provided real-time monitoring of climatic and hydrological conditions. The monitoring application developed facilitated field collection. Biochemical analyses found the optimal concentration and method of evaluating product efficacy, which increased efficiency and reduced the economic cost of applications. Information campaigns have increased public awareness of the problems associated with unmanaged mosquito eradication and the importance of biodiversity. The reduction of mosquitoes in selected areas has contributed to improving the quality of life of residents and increasing the attractiveness of the region for tourism. The capacity of local governments has been increased through newly introduced technologies and methods. The project has resulted in a methodology that will enable similar management measures to be applied in other areas.
The project has fundamental importance for protecting and promoting biodiversity in the protected landscape area of Litovelské Pomoraví, which is sensitive to intervention. The project''s long-term impact is a lasting change in the approach to managing mosquito calamity. The methods and technologies introduced are expected to serve as a model for similar projects in other protected areas. The project also raises public awareness of environmental issues and strengthens cooperation between the scientific community, local authorities, and the public, which are key aspects of sustainable environmental protection.
Summary of bilateral results
The cooperation with the Norwegian University of Science and Technology (NTNU) was crucial for the success of the MOSPREMA project. NTNU provided expertise in crowdsourcing, predictive modeling, climate data analysis, and geospatial visualization, all of which were integrated to improve the project''s ability to monitor and predict mosquito calamities. This collaboration added an international dimension, offering new perspectives for applying the methods in the Czech context. NTNU also helped disseminate results and increase visibility, aiding the spread of good practices. Their cutting-edge technologies and methods were vital in achieving the project''s goals, enhancing biodiversity and environmental protection in the Litovelské Pomoraví area.Key outcomes of the cooperation included the joint development of prediction models, which improved response to calamity dynamics, and a crowdsourcing methodology for better public engagement and data collection. Workshops and joint research deepened understanding of local ecological conditions, leading to strengthened ties between Czech institutions and NTNU, paving the way for future projects. Joint publications documented the project''s international impact.