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Environmental parasitology deals with the interactions between parasites and pollutants in the environment. Their sensitivity to pollutants and environmental disturbances makes many parasite taxa useful indicators of environmental health and anthropogenic impact. Over the last 20 years, three main research directions have been shown to be highly promising and relevant, namely parasites as accumulation indicators for selected pollutants, parasites as effect indicators, and the role of parasites interacting with established bioindicators. The current paper focuses on the potential use of parasites as indicators of environmental pollution and the interactions with their hosts. By reviewing some of the most recent findings in the field of environmental parasitology, we summarize the current state of the art and try to identify promising ideas for future research directions. In detail, we address the suitability of parasites as accumulation indicators and their possible application to demonstrate biological availability of pollutants; the role of parasites as pollutant sinks; the interaction between parasites and biomarkers focusing on combined effects of parasitism and pollution on the health of their hosts; and the use of parasites as indicators of contaminants and ecosystem health. Therefore, this review highlights the application of parasites as indicators at different biological scales, from the organismal to the ecosystem

The study presents a bioindication complex and a technology of the experiment based on a submersible digital holographic camera with advanced monitoring capabilities for the study of plankton and its behavioral characteristics in situ. Additional mechanical and software options expand the capabilities of the digital holographic camera, thus making it possible to adapt the depth of the holographing scene to the parameters of the plankton habitat, perform automatic registration of the “zero” frame and automatic calibration, and carry out natural experiments with plankton photostimulation. The paper considers the results of a long-term digital holographic experiment on the biotesting of the water area in Arctic latitudes. It shows additional possibilities arising during the spectral processing of long time series of plankton parameters obtained during monitoring measurements by a submersible digital holographic camera. In particular, information on the rhythmic components of the ecosystem and behavioral characteristics of plankton, which can be used as a marker of the ecosystem well-being disturbance, is thus obtained.

DNA metabarcoding of freshwater communities typically relies on PCR amplification of a fragment of the mitochondrial cytochrome c oxidase I (COI) gene with degenerate primers. The advantage of COI is its taxonomic resolution and the availability of an extensive reference database. However, when universal primers are used on environmental DNA (eDNA) isolated from water, benthic invertebrate read and OTU numbers are typically “watered down,” that is, under represented, compared to whole specimen “bulk samples” due to greater co‐amplification of abundant nontarget taxa (e.g., fungi, algae, and bacteria). Because benthic stream invertebrate taxa are of prime importance for regulatory biomonitoring, more effective ways to capture their diversity via eDNA isolated from water are important. In this study, we aimed to improve benthic invertebrate assessment from eDNA by minimizing nontarget amplification. Therefore, we generated eDNA data using universal primers BF2/BR2 on samples collected throughout 15 months from a German Long‐Term Ecological Research site (Rhine‐Main‐Observatory, Kinzig River) to identify most abundant nontarget taxa. Based on these data, we designed a new reverse primer (EPTDr2n) with 3’‐specificity toward benthic invertebrate taxa and validated its specificity in silico together with universal forward primer fwhF2 using available data from GenBank and BOLD. We then performed in situ tests using 20 Kinzig River eDNA samples. We found that the percentage of target reads was much higher for the new primer combination compared to two universal benthic invertebrate primer pairs, BF2/BR2 and fwhF2/fwhR2n (99.6% versus 25.89% and 39.04%, respectively). Likewise, the number of detected benthic invertebrate species was substantially higher (305 versus 113 and 185) and exceeded the number of 153 species identified by expert taxonomists at nearby sites across two decades of sampling. While few taxa, such as flatworms, were not detected, we show that the optimized primer avoids the nontarget amplification bias and thus significantly improves benthic invertebrate detection from eDNA. Capturing benthic invertebrate biodiversity from environmental DNA (eDNA) isolated from water is difficult because of abundant nontarget taxa PCR amplification. A new primer combination maximizes target‐specific eDNA amplification for freshwater macroinvertebrate species. It detects especially more species than reported for two decades of extensive morphotaxonomic research at the studied Long‐Term Ecological Research (LTER) site.

Aims : To develop a consistent ecological indicator value system for Europe for five of the main plant niche dimensions: soil moisture (M), soil nitrogen (N), soil reaction (R), light (L) and temperature (T). Study area : Europe (and closely adjacent regions). Methods : We identified 31 indicator value systems for vascular plants in Europe that contained assessments on at least one of the five aforementioned niche dimensions. We rescaled the indicator values of each dimension to a continuous scale, in which 0 represents the minimum and 10 the maximum value present in Europe. Taxon names were harmonised to the Euro+Med Plantbase. For each of the five dimensions, we calculated European values for niche position and niche width by combining the values from the individual EIV systems. Using T values as an example, we externally validated our European indicator values against the median of bioclimatic conditions for global occurrence data of the taxa. Results : In total, we derived European indicator values of niche position and niche width for 14,835 taxa (14,714 for M, 13,748 for N, 14,254 for R, 14,054 for L, 14,496 for T). Relating the obtained values for temperature niche position to the bioclimatic data of species yielded a higher correlation than any of the original EIV systems ( r = 0.859). The database : The newly developed Ecological Indicator Values for Europe (EIVE) 1.0, together with all source systems, is available in a flexible, harmonised open access database. Conclusions : EIVE is the most comprehensive ecological indicator value system for European vascular plants to date. The uniform interval scales for niche position and niche width provide new possibilities for ecological and macroecological analyses of vegetation patterns. The developed workflow and documentation will facilitate the future release of updated and expanded versions of EIVE, which may for example include the addition of further taxonomic groups, additional niche dimensions, external validation or regionalisation. Abbreviations : EIV = Ecological indicator value; EIVE = Ecological Indicator Values for Europe; EVA = European Vegetation Archive; GBIF = Global Biodiversity Information Facility; i = index for taxa; j = index for EIV systems; L = ecological indicator for light; M = ecological indicator for moisture; N = ecological indicator for nitrogen availability; R = ecological indicator for reaction; T = ecological indicator for temperature.

Protecting rivers and lakes from pollution is crucial for maintaining the health of aquatic ecosystems and ensuring the well-being of both wildlife and humans. Present study intends to examine the water quality of the Suna River (Eastern Fennoscandia in the European North of Russia) to assess the ecological risk. Widespread methods for assessing water quality based on macrozoobenthos and phytoperiphoton were applied. It was found that in conditions of ultra-fresh waters with high humus content, biotic indicators may indicate pollution of water bodies that do not actually experience significant anthropogenic impact. Ratings ranging from ‘poor’ to ‘excellent’ were obtained for different stations, reflecting the influence of natural features of different sections of the river. ‘Good’ water quality was noted at the river stones biotopes. In river gravel, sand and silt biotopes, as well as all lake biotopes, ‘mediocre’ water quality was found. The low anthropogenic income on the river catchment allows us to conclude that most indices for assessing water quality significantly underestimate the results in the natural conditions of Eastern Fennoscandia. Biotic indices EPT, BBI and EBI are most accurate for assessing the water quality of rivers and lakes in Eastern Fennoscandia.

This article presents the results of a study assessing the state of morphological changes in the male generative organs of Scots pine (Pinus sylvestris L.) in Kazakhstan and Poland. The purpose of this study is to assess the transformation of pine pollen under different environmental conditions. Research and pollen sampling were carried out in 2023 in different environmental conditions and in different geographical areas: Astana (Kazakhstan), Bayanaul State National Natural Park (BSNNP) (Kazakhstan) and Poznan (Poland). For cytological analysis, microsporophylls were selected from the middle part of the microstrobilus, the material was stained with 1% Lugol's pharmaceutical solution, the preparations were studied on a Nikon eclipse E 200 microscope with a magnification of 10x15x40. The results of the analysis showed that the maximum number of disturbances in pine pollen was detected in samples from Poznan - 63%. In the Bayanaul Natural Park and in Astana, pine has fewer anomalies in pollen - 57% and 55%. The most common types of anomalies found in Scots pine pollen in the study areas are: deformed (26.3%), pollen with impaired shell formation (19%) and degraded (7.4%). Under conditions of technogenic pollution in coniferous trees (Pinus sylvestris L.), a higher level of abnormality of pollen grains was revealed than in relatively clean conditions, and a wide spectrum (sterile, deformed and small pollen grains with disturbances (without air sacs, with one and three air bags).

Diatoms are commonly used in environmental assessments to detect pollution and eutrophication. The specific pollution sensitivity index (SPI) is one of the most frequently used indices, which assigns scores to diatom taxa based on their sensitivity to pollution. The study analyzed diatom communities in the Duero River basin in Spain to examine the relationship between SPI scores and various limnological variables. A GLM model showed that phosphates, nitrites, and water temperature were the main factors explaining SPI variability. The study also reviews previous results using SPI for water quality monitoring in different world regions, highlighting the role of nutrients in general as major drivers of SPI values worldwide. Overall, the findings reinforce the reliability of SPI as a metric for biological monitoring in various watercourses.

Semi-quantitative microscope counts of phytoplankton are often a compromise between time-consuming cell biomass analyses and no phytoplankton data. We demonstrate how semiquantitative data from a monitoring program can be used to study phytoplankton community composition, its annual cycle, and aspects of the ecosystem it inhabits. Semi-quantitative counts from Agmon Wetlands, Israel, collected monthly from 2008 to 2021, were generated by allocating a score from 1 (rare) to 6 (extremely abundant) to each taxon observed in a sample. Five samples could be analyzed at the time it takes to count one sample by the conventional Utermöhl method. Using an exponential regression equation, the scores were transformed to estimated concentrations (algal units/ml), then summed into taxonomic or other groups of species. A strong annual pattern of the sum of scores for each taxonomic group was observed. The method was useful for assessing ecosystem features based on indicator species, and for presenting the contribution of morpho-functional groups to the phytoplankton community. If making a species list is planned, we recommend assigning scores, creating calibration curves, converting the scores to concentration estimates, and using those estimates to achieve higher resolution and better conclusions than possible with a species list alone.

QUESTION: Is it possible to construct indicator values that would place individual species on gradients of disturbance frequency and severity? We suggest that such indicator values could be defined on the basis of the disturbance regimes under which individual species occur, to be independent of their traits. They should also separate disturbance frequency from disturbance severity. LOCATION: Czech Republic. METHODS: We used a stratified set of 30 115 vegetation‐plot records sampled over the whole country and classified into 39 phytosociological vegetation classes. Each class was assigned values of disturbance frequency and severity by expert judgement. A Disturbance Frequency Index for each species was calculated as the mean of the common logarithm of the disturbance frequency of all vegetation classes weighted by occurrence frequencies of this species in those classes. A Disturbance Severity Index was defined as mean disturbance severity of all vegetation classes weighted by occurrence frequencies of this species in those classes. For forest vegetation, indices were computed separately for the whole community and for the herb layer, which experiences different types of disturbance. Further, we constructed a disturbance index from vegetation structural parameters, viz. summed covers and community‐weighted mean of height at maturity of species recorded in each plot for each vegetation class. We assessed all indices by comparing their values with data on functional traits of the species. RESULTS: We calculated values of the indices for 1248 species. The Disturbance Frequency Index and Disturbance Severity Index were correlated, but still described different responses of individual species to disturbance. The index based on vegetation structure was correlated mainly with the Disturbance Frequency Index. All indices showed strong relationships to plant traits: species with high values of all disturbance indices tended to have small seeds, to be annual and non‐clonal or able to spread clonally over large distances. CONCLUSIONS: Constructing species disturbance indices based on vegetation characteristics, not plant traits, is feasible and provides meaningful scores. A similar approach can be used in any region where sufficient vegetation data are available. Disturbance indices can be used to address a number of questions in plant evolution and community or landscape ecology.