We investigated the mineral concentrations of 61 honey samples from eight Romanian regions, employing advanced techniques to assess 30 chemical elements. Potassium emerged as the dominant element, showcasing significant variations across geographical locations. Essential minerals like calcium, magnesium, sodium, and manganese maintained consistent levels, while zinc, copper, and chromium were present in smaller proportions. Critically, lead and cadmium levels exceeded established safety limits in some samples, suggesting potential environmental contamination. Additionally, elevated levels of lithium, strontium, nickel, and aluminum were detected, hinting at possible atmospheric pollution. These findings highlight the importance of regional analysis, as mineral content varied significantly between locations. Furthermore, correlation analysis revealed interdependencies among elements, suggesting shared environmental influences. Advanced statistical techniques like hierarchical clustering and principal component analysis effectively captured the impact of geographical origin on honey composition. These insights contribute valuable information for future efforts in honey quality control, traceability systems, and regulatory measures. By providing valuable insights into environmental influences on honey composition, this study informs future research endeavors and paves the way for the development of robust regulatory measures to ensure honey safety for consumers.

The overall yield and sugar content of sugar beet (Beta vulgaris L.) were determined by the genotype and its interaction with the environment. This study aimed to analyze the interaction of 23 genotypes with different environmental conditions during two growing seasons. To estimate the variance of genotypes, environment, and genotype function of the environment, the R 3.5.1 software package was used. In addition, the multivariate stability method was used to explain the G (genotype) × E (environment) interaction based on the GGE (Genotype plus Genotype-by-Environment) and AMMI (additive main effects and multiplicative interaction) biplots. The AMMI ASV (AMMI stability value) and biplot analysis revealed that only two genotypes (G10 and G11) showed higher values for yield and sugar content and production compared to the other genotypes. The AMMI ASV analysis also showed that the environment significantly influenced the sugar beet yield, sugar content, and sugar production, which were the descriptors for production in this study.

Heavy metal contamination in agricultural soils presents serious environmental and health risks. This study assessed the bioaccumulation and spatial distribution of nickel, cadmium, zinc, lead, and copper within a sheep-based food chain in the Baia Mare region, Romania, which includes soil, green grass, sheep serum, and dairy products. Using inductively coupled plasma mass spectrometry (ICP-MS), we analyzed the concentrations of these metals and calculated bioconcentration factors (BCFs) to evaluate their transfer through trophic levels. Spatial analysis revealed that copper (up to 2528.20 mg/kg) and zinc (up to 1821.40 mg/kg) exceeded permissible limits, particularly near former mining sites. Elevated lead (807.59 mg/kg) and cadmium (2.94 mg/kg) were observed in industrial areas, while nickel and cobalt showed lower concentrations, but with localized peaks. Zinc was the most abundant metal in grass, while cadmium transferred efficiently to milk and cheese, raising potential health concerns. The results underscore the complex interplay between soil properties, contamination sources, and biological processes in heavy metal accumulation. These findings highlight the importance of continuous monitoring, risk assessment, and mitigation strategies to protect public health from potential exposure through contaminated dairy products.

The paper aims to review literature data with respect to Romanian native cattle breeds which are considered at risk of extinction. In the last decades, the number of individuals of Romanian indigenous cows decreased significantly, as a consequence of the intensification and specialization of animal productions and agriculture modernization. Some of the native cattle breeds are already lost, due to their crossing with improved breeds. However, after the accession of Romania to the European Union, various preservation programs were initiated, and most of them included biochemical research and studies of molecular or quantitative genetics. All these, associated with the application of reproduction biotechnologies, give a chance to these animals, which are extremely valuable in terms of their genetic resistance to diseases and environmental factors. The reviewed literature on Romanian indigenous endangered cattle breeds confirms that these animals are carriers of a valuable gene pool, which can be kept and bred while applying different reproductive biotechnologies. Consequently, this paper raises awareness on two issues: the decrease of genetic diversity in two Romanian native cow breeds threatened with extinction (Grey Steppe and Romanian Pinzgauer); and the benefits of genetic diversity of the two breeds.

In this context, functional saturation is defined as the state in which a system’s capacity to sustain additional productive or regulatory functions becomes constrained due to cumulative anthropogenic pressures, even if some physical space remains available. This review examines whether the progressive contraction of terrestrial plant communities under intensifying anthropogenic pressure can be functionally compensated by the expansion of marine macroalgal systems in a high-CO ₂ world. Integrating perspectives from Earth system ecology, biogeochemistry, and spatial analysis, the study evaluates three interdependent dimensions: the saturation of habitable terrestrial space, the relative openness yet ecological constraint of marine environments, and the dynamic coupling between atmospheric CO ₂ and ocean chemistry. The synthesis reveals a fundamental asymmetry between land and ocean systems. Terrestrial ecosystems are undergoing direct structural transformation through land-use change, resulting in a measurable contraction of ecologically functional space and increasing transgression of planetary boundaries. In contrast, marine systems retain substantial geometric space but are subject to diffuse, cumulative stressors, particularly in productive coastal zones where macroalgal communities are most viable. Elevated CO ₂ exerts dual effects on marine primary producers, simultaneously enhancing photosynthetic potential while intensifying ocean acidification, with temporally lagged responses mediated by air–sea exchange dynamics. Although macroalgae may exhibit localized increases in productivity, their capacity to provide long-term carbon sequestration and ecosystem stability remains inherently limited due to rapid biomass turnover, susceptibility to regime shifts, and the interaction of multiple stressors. The available evidence suggests that marine macroalgal expansion is unlikely to fully compensate for terrestrial vegetation loss at global ecological and biogeochemical scales. Instead, the Earth system is undergoing a net reduction in biospheric resilience, characterized by declining terrestrial complexity and increasingly unstable marine productivity. These findings challenge assumptions of compensatory redistribution of primary production and underscore the necessity of preserving terrestrial ecosystems alongside mitigating pressures on marine environments.

This review synthesizes current knowledge on how animals shape plant evolution through a complex network of mutualistic and antagonistic interactions operating across ecological and evolutionary timescales. Plant–animal interactions, ranging from pollination and seed dispersal to herbivory and parasitism, generate reciprocal selective pressures that drive diversification in plant reproductive, defensive, and dispersal traits. Coevolutionary dynamics are increasingly understood within a network framework, where indirect interactions and community structure play a critical role in shaping adaptive landscapes. Animal pollinators have been central to the evolution of floral traits, including morphology, color, scent, and phenology, while herbivores impose selection on plant defenses, often leading to trade-offs between reproduction and resistance. Similarly, frugivores influence the evolution of fruit and seed traits, contributing to the emergence of dispersal syndromes and large-scale diversification patterns in angiosperms. Interactions such as synzoochory highlight the continuum between mutualism and antagonism, emphasizing context dependency in ecological outcomes. Recent advances extend classical coevolutionary frameworks to include microbiome-mediated interactions, revealing that plant–animal relationships are frequently embedded within tripartite systems involving microbial communities that modulate signals, rewards, and defenses. Additionally, phenotypic plasticity emerges as a key mechanism enabling rapid plant responses to fluctuating biotic and abiotic environments, often preceding longer-term genetic adaptation. The review also integrates spatial and temporal perspectives, including the geographic mosaic of coevolution, eco-evolutionary feedbacks, and the persistence of evolutionary anachronisms resulting from past interactions. Anthropogenic pressures—such as climate change, habitat fragmentation, and species invasions—are profoundly reshaping plant–animal interactions, altering selection regimes and driving rapid evolutionary responses. Overall, this synthesis highlights that plant evolution cannot be fully understood without considering the dynamic, multi-layered, and context-dependent influences of animal interactions, which operate across scales from genes to ecosystems and from historical legacies to contemporary global change.