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Norway Spruce (Picea abies (L.) H. Karst.), a timber species of significant economic and ecological importance in the Northern Hemisphere, faces increasing threats imposed by drought and bark beetle infestation intensified by ongoing climate change. Despite the extensive mortality within stands, a small proportion of mature trees remarkably survive during severe bark beetle outbreaks. Hypothesizing that bark beetle resilience is genetically determined and thus is under natural selection, we anticipated that there is a genetic variation in genome regions linked to the respective resistance in surviving trees. In the Bohemian Forest, restricted to the area of the Czech–Austrian–German border, we identified those resistant individuals, referred to as the "Last Trees Standing" (LTS). Concurrently, we collected reference samples from randomly selected individuals from natural regeneration within concerned sites (seedlings, young trees) and in adjacent unaffected stands (mature trees). Genomic data were generated on a 50K SNPs genotyping array. We conducted a population genetic study based on the Discriminant Analysis of Principal Components (DAPC) method as well as the Genome-Wide Association Study (GWAS). We identified 12 markers (SNPs) significantly associated with tree survival using this approach. Three of those SNPs are located within the genes with the known function in Arabidopsis thaliana orthologs. After further confirmation, we argue that the identified SNPs can be instrumental in identifying trees of higher resistance to bark beetle infestation. [ABSTRACT FROM AUTHOR]

As a result of climate change, Norway spruce (Picea abies [L.] Karst.) is dying across Europe. One of the primary reasons for this is the cultivation of unsuitable spruce provenances and ecotypes. This study deals with the growth and genetics of the ecotypes of Norway spruce, the most important tree species of the Czech Republic. At the study site, namely Cukrák, an experimental site was established in 1964 to plant three basic spruce ecotypes: low-elevation (LE), medium-elevation (ME) and high-elevation (HE) ecotype. A dendrometric inventory, dendrochronological sampling and genetic analyses were carried out on individual trees in 45 to 46 years old spruce stands. The ME ecotype was the most productive in terms of its carbon sequestration potential, while the HE ecotype had the lowest radial growth. All ecotypes exhibited a noteworthy negative correlation between tree-ring growth and seasonal temperature, annual temperature, previous year September to current year August temperature, June to July temperature, as well as individual monthly temperatures from previous May to current August. The relationship of annual and seasonal precipitation to growth was significant only for the LE and ME ecotypes, but precipitation from previous year September to current year August and precipitation from current June to July were the most significant for all ecotypes, where the ME had the highest r value. The HE ecotype does not adapt well to a dry climate and appears to be unsuitable compared to the other ecotypes under the studied conditions. This study also documented intra-population genetic variation within years of low growth, as evidenced by significant clonal heritability. The selection of the appropriate spruce ecotypes is essential for the stability and production of future stands and should become an important pillar of forest adaptation to climate change. [ABSTRACT FROM AUTHOR]

With reference to the existing literature, this paper investigates the heterogenous effect on the attainment of circular economy by government policies in the form of government stringency and government financial support, environmentally related innovations, and human capital. The study was carried out in 26 countries of the OECD from 2010–2019 using the Poisson pseudo-maximum likelihood (PPML) model and data from Eurostat and OECD datasets. Indicators for the independent variables were non-market-based stringency, market-based subsidy, gross domestic expenditure on R&D by source of funds, R&D expenditure intramural, national expenditure on environmental protection environmental protection, environmentally related patents with co-inventors, and employees involved in education and training. The results revealed that a significant effect of government stringency in the form of non-market-based stringency, environmental innovation, government financing on R&D, and national expenditure on environmental protection have significant impact on the attainment of circular economy within OECD countries. Surprisingly, there was no significant effect of the market-based subsidy on domestic material consumption (dmc). We conclude that a blend of government policies is the effective means of achieving a circular economy. [ABSTRACT FROM AUTHOR]

Scholars who study compulsory voting realize their research in countries where compulsory voting already exists. On the contrary, there are not many studies that deal with ex ante analyses of the economic and political consequences of voter behavior caused by a new element in public elections—compulsory voting. Therefore, the aim of this paper is to find out what voters' reactions will cause when compulsory voting is introduced in the Czech Republic. This paper has the ambition to contribute to the understanding of the economic and political context of sanctions for non-voters. The analysis of non-voters' willingness to change their behavior due to the fine and the determination of the amount of this fine in the Czech Republic are the practical benefits of this study. In this way, we determine the "abstention price" of a vote. The input data of the analysis are data obtained by a questionnaire survey conducted in the Czech Republic in 2020; the target group is 807 respondents. The basic statistical operations, and binary and multinomial logistic regressions were employed in this study. The results of the research show that compulsory voting has only a minimal effect on the turnout. The introduction of compulsory voting changes the characteristics of the typical voter. Voters with lower political interest and political knowledge will take part in the elections more often. The fine that non-voters would be willing to pay is approx. 6% of their average monthly income. [ABSTRACT FROM AUTHOR]

Simple Summary: Applying assisted reproductive technologies (ARTs) to the conservation of endangered species may be the only way to save them from extinction. However, ART application can raise relevant ethical issues and could benefit from a comprehensive ethical assessment. Unfortunately, there is a lack of attention to the topic in the scientific literature and, to our knowledge, there is no tool for the ethical assessment of ARTs in the context of conservation that has been described. In the present paper, we show the effects of applying a dedicated ethical self-assessment tool, the Ethical Assessment Tool (ETHAS), to ovum pick-up and in vitro fertilization procedures performed within the BioRescue project. The BioRescue project is an international enterprise using ARTs to save the northern white rhinoceros from extinction. The situation of the northern white rhinoceros is particularly critical as there are only two individuals of this subspecies still alive and they are both infertile females. The application of the ETHAS to the procedures contributed to the overall acceptability of the project and improved communication among the project's partners. In turn, the tool itself was also refined through an iterative consultation process between experts (both ethicists and scientists) and stakeholders. Assisted reproductive technologies (ARTs) can make a difference in biodiversity conservation. Their application, however, can create risks and raise ethical issues that need addressing. Unfortunately, there is a lack of attention to the topic in the scientific literature and, to our knowledge, there is no tool for the ethical assessment of ARTs in the context of conservation that has been described. This paper reports the first applications of the Ethical Assessment Tool (ETHAS) to trans-rectal ovum pick-up (OPU) and in vitro fertilization (IVF) procedures used in a northern white rhinoceros (Ceratotherium simum cottoni) conservation project. The ETHAS consists of two checklists, the Ethical Evaluation Sheet and the Ethical Risk Assessment, and is specifically customized for each ART procedure. It provides an integrated, multilevel and standardized self-assessment of the procedure under scrutiny, generating an ethical acceptability ranking (totally, partially, not acceptable) and a risk rank (low, medium, high), and, hence, allows for implementing measures to address or manage issues beforehand. The application of the ETHAS to the procedures performed on the northern white rhinoceros was effective in ensuring a high standard of procedures, contributing to the acceptability and improved communication among the project's partners. In turn, the tool itself was also refined through an iterative consultation process between experts and stakeholders. [ABSTRACT FROM AUTHOR]

Nowadays, with the growing importance of providing digital services, public libraries offer a wide range of e-books. However, current studies show that reading preferences vary across countries, and identifying e-book demand is therefore difficult. For these reasons, this article focuses on different groups of e-book readers (pensioners, students, economically active) and on factors affecting their attitude to reading e-books, willingness to receive new library services and willingness to pay for them. For the purpose of this analysis, we are using unique data from an online questionnaire survey among readers of the Municipal Library of Prague in 2019 and own binary logistic models. The results show how e-book genres, information preferences and devices for reading e-books primarily affect selected groups of e-book readers. The unwillingness of e-book readers to pay for library services is also evident, especially among students. In the last section, we propose some practical implications that could help to library management and possibly attract more e-book readers from different groups. [ABSTRACT FROM AUTHOR]

There is a growing consensus that knowledge drives firms' process and product innovations. An important source of these innovations is from firms networking with R&D partners, such as those in the science system and other industries in the enterprise group. This paper aimed to examine firms' innovation collaborations with science systems and enterprise group partners and how these influence their product and process innovations. We focused on firms in the manufacturing sectors in the Czech Republic and Hungary. For our empirical analysis, we used the truncated data from the Eurostat Community Innovation Survey (CIS) 2012–2014, and the binary logistic regression model. Our results have demonstrated that firms' collaborations with these actors have a discernible positive influence on their product innovations. Conversely, the collaborations with these R&D partners for process innovations produced mixed results for both countries. [ABSTRACT FROM AUTHOR]

Innovation, in contemporary times, has been established as the lynchpin of growth and national competitive advantage among countries. Supranational and national resources have jointly combined to create sound innovation strategies and diffusion policies for member states in recent times. However, there is the question of whether increased innovation translates to effective diffusion of innovation. With this in mind, the present research aims to comparatively assess and evaluate the efficiency of diffusion of innovation of European Union member states in reference to their European Innovation Scoreboard (EIS) rankings. Using the Charnes, Cooper and Rhodes (CCR) model of Data Envelopment Analysis (DEA), the present research found contrasting diffusion efficiency scores of member states with different innovation performances as most innovative member states had much lower efficiency scores compared to some supposedly weak innovating member states. We also computed the input-redundancy and output-deficiency of member states, provided recommendations for efficient input-output combinations based on findings of respective member states and innovation groups, and finally, outlined directions for future studies. [ABSTRACT FROM AUTHOR]

Currently, there has been an increasing demand on seed orchard designs with respect to mitigating inbreeding in advanced generations or facing severe mortality at sites. Optimum Neighborhood Algorithm design (ONA) excels in solving these issues, as shown in two case studies. The first demonstrates the application of the ONA for populating empty positions in an existing orchard. Following this concept, the ONA can be used for upgrading existing orchards, where only high-value parents are retained and new parents are introduced, thus avoiding the genetic penalty associated with the establishment of new-generation seed orchards. The second illustrates benefits of combining the ONA with the Minimum Inbreeding (MI) seed orchard design. Utilizing the MI, distances among clonal rows of selected clones were maximized on the orchard grid while the remaining single-tree positions were populated by ONA. [ABSTRACT FROM AUTHOR]

This paper investigates the influence of research and development (R&D) cooperation on the creation of spillover effects for sustainable firms in the chemical industry. We explore the evidence for the origin of knowledge spillovers derived from cooperation amongst firms and universities and R&D organizations as well as to test the influence of internal/external financial support on these effects. The results confirm that when firms acquire knowledge from internal sources, this leads to increased innovation and sustainable performance. We have proved that internal expenditure results in increased internal knowledge spillovers. These findings may be specific for Central and Eastern (CEE) transition countries, indicating their efforts to build path-dependent structures based on knowledge institutions and businesses as well as knowledge networks. However, this study also provides a more “global” contribution to the knowledge spillover effect theory. It shows that a firm’s cooperation both with universities and with other firms promotes different types of knowledge spillovers and can affect diverse modes of sustainable activities in innovation. [ABSTRACT FROM AUTHOR]