The progressive development of economic valuations of biodiversity in recent decade enables the application of the concept of payments for ecosystem services (PES) in order to conservation of forest biodiversity in protected areas. In this article, the PES concept principles are applied for the monetary valuation of natural forest habitats, which were mapped in the Czech Republic in order to create the Natura 2000 European network. The method is based on expert evaluation of every type of mapped habitat by a point value (ranging from 1 to 6 points) for specific ecological evaluating criteria. The monetary value of every point of specific natural forest habitats was defined from the economic analysis of financial expenses of realised ecological restoration projects in the Czech Republic. This method is therefore based on a rather exceptional application of the PES concept, which is still rare in literature because it is based on actual invested financial means, not only on the potential willingness to spend these financial means. The presented results of the monetary valuation of the natural forest habitats in the Czech Republic indicate that the method used for the monetization of forest biodiversity in protected areas can represent a promising decision support tool in countries where habitat mapping results are available.

Given the significance of national carbon inventories, the importance of large-scale estimates of carbon stocks is increasing. Accurate biomass estimates are essential for tracking changes in the carbon stock through repeated assessment of carbon stock, widely used for both vegetation and soil, to estimate carbon sequestration. Objectives: The aim of our study was to determine the variability of several aspects of the carbon stock value when the input matrix was (1) expressed either as a vector or as a raster; (2) expressed as in local (1:10,000) or regional (1:100,000) scale data; and (3) rasterized with different pixel sizes of 1, 10, 100, and 1000 m. Method: The look-up table method, where expert carbon content values are attached to the mapped landscape matrix. Results: Different formats of input matrix did not show fundamental differences with exceptions of the biggest raster of size 1000 m for the local level. At the regional level, no differences were notable. Conclusions: The results contribute to the specification of best practices for the evaluation of carbon storage as a mitigation measure, as well as the implementation of national carbon inventories.

Global and regional biodiversity loss is caused by several drivers including urban development, land use intensification, overexploitation of natural resources, environmental pollution, and climate change. The main aim of our study was to adapt the GLOBIO3 model to the conditions of the Czech Republic (CR) to assess loss of naturalness and biodiversity vulnerability at the habitat level on a detailed scale across the entire CR. An additional aim was to assess the main drivers affecting the biodiversity of habitat types. The GLOBIO3 model was adapted to CZ-GLOBIO by adapting global to local scales and using habitat quality and naturalness data instead of species occurrence data. The total mean species abundance (MSA) index of habitat quality, calculated from the spatial overlay of the four MSA indicators by our new equation, reached the value 0.62. The total value of MSA for natural and near-natural habitats was found to be affected mainly by infrastructure development and fragmentation. Simultaneously, intensity of land use change and atmospheric nitrogen deposition contributed primarily to the low total value of MSA for distant natural habitats. The CZ-GLOBIO model can be an important tool in political decision making to reduce the impact of the main drivers on habitat biodiversity in the CR.

Floodplain forests are considered important forest ecosystems, and providers of ecosystem functions and services. The subject of this research was to assess the level of provision of five selected ecosystem functions (climate regulation and regulation of short water cycle, biomass production, oxygen production, and carbon sequestration) and biodiversity by relevant groups of forest habitats, and their mutual comparison. Assessment of ecosystem functions was performed in biophysical units based on published data, our own research, and expert knowledge. The results showed the high importance of floodplain forests. In the majority of the services that were studied, this habitat reached high values and, in comparison with the other habitats, took one of the leading positions. When comparing the ranking in the provision of individual ecosystem functions per unit area, the best-assessed habitat in all assessed functions was floodplain and wetland forests, followed by ravine forests and beech forests, but the analysis of the rate of ecosystem function provision, related to the total area of interest, showed a different order of values. Understanding the context of the individual ecosystem functions of natural ecosystems and those close to nature, in comparison with anthropogenically altered ecosystems is a suggested route for ecologically and economically balanced landscape decision-making, which may increase the efficiency of nature and landscape protection.

As urban areas expand worldwide, the importance of ecosystem services provided by urban and peri-urban areas (ESs) increases, especially those that mitigate the effects of ongoing climate change. We present a relatively simple method to assess the performance of three ecosystem functions (EFs: evapotranspiration, carbon production, and habitat- and landscape-level biodiversity) in urban and peri-urban areas, indicating their capacity to provide relevant regulative ESs. The method was applied to two Czech foothill cities, Liberec and Děčín, and the results showed that the EFs of both cities were at comparable or even higher levels than the average values for the whole Czech Republic. The peri-urban area showed surprisingly high values for all EFs and habitat connectivity. The urban–rural gradient of EFs also showed higher values for EFs in the peri-urban area than in the adjacent rural (forest and agricultural) landscape. The method can serve as a useful tool to quickly identify valuable urban habitats (strong ESs providers) to support their protection or to identify places with low functional values that should be considered and sorted in urban adaptation strategies to global climate change to support the creation of functional green infrastructure.