Understanding people’s interactions with urban greenspace: Case studies in Eastern Europe

This study explored and compared people’s interactions with urban greenspace (UGS) using case studies in three Eastern European countries – Armenia, Georgia and Ukraine. These countries have experienced radical changes in governance systems and socio-economic structures, characteristic of a transition from planned to market economies. Recently, Armenia, Georgia and Ukraine have been arenas for armed conflicts, which have dramatically heightened instability throughout the region. Urban planners in Eastern Europe therefore urgently need context-relevant knowledge to facilitate the critical work of (re-)building more inclusive, safe, resilient and sustainable cities. An unrestricted, self-selected online survey was used to collect data in 2021–2022. A total of 3573 respondents completed the survey (N = 1142 in Armenia, N = 1069 in Georgia and N = 1362 in Ukraine). We identified 12 key explanatory factors linked to the frequency of people’s interactions with UGS using multiple ordinal logistic regressions. The core findings are: (i) most factors are country-specific; (ii) age of respondents had a large effect on the frequency of UGS use in Armenia and Georgia, where older people were mostly infrequent users of UGS; (iii) those who lived further from UGS or could not access it on foot were less likely to use it often; and (iv) the only common key factor across three countries was that people who ‘do not want’ to use UGS are infrequent users. The study shows that only 10–18% of respondents were satisfied with the UGS availability and quality. Among many constraints related to UGS use, litter in UGS and lack of time were the most mentioned. Large parks were the most preferred types of UGS. Our findings confirm the need for urban planners in Eastern Europe to consider and integrate diverse factors influencing people’s willingness to interact with urban nature. A priority is to understand how to bring infrequent users to UGS, particularly older people in various cultural settings in Eastern European countries

On the generalized Hartley-Hilbert and Fourier-Hilbert transforms

In this paper, we discuss Hartley-Hilbert and Fourier-Hilbert transforms on a certain class of generalized functions. The extended transforms considered in this article are shown to be well-defined, one-to-one, linear and continuous mappings with respect to δ and Δ convergence. Certain theorems are also established

The PREDICTS database: a global database of how local terrestrial biodiversity responds to human impacts

Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of species’ threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that support computation of a range of biodiversity indicators, is necessary to enable better understanding of historical declines and to project – and avert – future declines. We describe and assess a new database of more than 1.6 million samples from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. The database contains measurements taken in 208 (of 814) ecoregions, 13 (of 14) biomes, 25 (of 35) biodiversity hotspots and 16 (of 17) megadiverse countries. The database contains more than 1% of the total number of all species described, and more than 1% of the described species within many taxonomic groups – including flowering plants, gymnosperms, birds, mammals, reptiles, amphibians, beetles, lepidopterans and hymenopterans. The dataset, which is still being added to, is therefore already considerably larger and more representative than those used by previous quantitative models of biodiversity trends and responses. The database is being assembled as part of the PREDICTS project (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems – www.predicts.org.uk). We make site-level summary data available alongside this article. The full database will be publicly available in 2015