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Habitat translocation is a method of habitat salvation conducted in cases of its inevitable destruction during construction projects. To evaluate the large-scale turf translocation of wet meadows to derelict land, with consideration of the possible impact of the surrounding area on the translocated habitat, salvaged Molinion meadows were compared to reference meadows near the donor site and to varied plots in the receptor area. The study included the soil, vegetation and selected groups of invertebrates at different motility and food levels. Pollinators (wild bees, butterflies), grasshoppers, ants and soil mesofauna, with emphasis on springtails, were counted and identified to the species level. Lower numbers of springtails and higher numbers of grasshoppers were observed in the translocated plots than in the reference plots. For springtails, the decreased soil porosity was a clear disadvantage. Mobile animals with a high food specificity responded dynamically to the habitat translocation. The translocated plots maintained their biodiversity. However, an influx of cosmopolitan species was noticeable, especially for the plants and pollinators. A few vulnerable species declined in number. The habitat translocation to derelict land was associated with a deterioration of the ecological condition of the habitat; thus, natural habitats should be preserved where they are if possible. However, in the case of their inevitable destruction, translocation is better than nothing. Revitalised areas can be a valuable spot for local pollinators, as well as for other animals, as far as their biodiversity is maintained. Caring for pollinators, which are under threat on a global scale, should be a particular concern for the safety of crops and phytocoenoses., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier B.V. All rights reserved.)

Among the main challenges in modelling biological invasion is a lack of valid data on the absence of invasive species. Absence data are important for assessing the reliability of models, but multiple surveys at a location are needed. In practice, omission errors are more frequent than commission errors. We therefore quantified how eliminating potentially biased areas from invasive species distribution models (iSDMs) affected the models' performance, and we assessed how the distribution of biased areas correlated with environmental factors. We hypothesized that for neophytes, the distribution of biased areas corresponds to specific land relief and/or particular landscape and land use, but not the density of roads and urbanized areas. The data on neophytes were obtained from a distribution atlas covering approximately 31,000 km 2 in Central Europe overlaid with a 2 × 2 km square grid. One hundred fifty-three species were used for modelling neophyte richness, and negative residuals from the model were assumed to indicate biased squares. Twenty invasive species were used as an independent dataset for testing the effect of excluding the biased squares on iSDM performance. The exclusion of biased squares increased the iSDM performance from an area under the curve value of 0.73 to 0.78. The best results were obtained by excluding 30 % of the squares from the original dataset. The presence of damp sites explained the distribution of biased squares; the density of roads and urbanized areas had no impact. The applied method allows distinguishing biased, plausibly undersampled squares in a species distribution atlas, the exclusion of which significantly improves iSDM performance. The results suggest that the commonly observed low sampling effort in areas distant from communication routes and urbanized areas was not crucial in modelling invasive species distribution, which can be related to smaller neophyte richness in remote areas resulting from low propagule pressure., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.)

The phenomenon that some vascular plant species grow mainly or exclusively in the large river valleys of Central Europe constitutes a long-standing distribution puzzle. In our study, we focused on determining which physicochemical properties of soil affect the distribution of river corridor plant (RCP) species. Research that included RCP coverage, the physicochemical properties of soil as well as several topographic and spatial variables were conducted in 10 transects perpendicular to the San River (SE Poland). The sampled plots were located both in close proximity to the river, where the greatest number of RCP populations are concentrated, and along anthropogenic linear landscape elements which have proven to be important for RCP occurrence in areas located away from the riverbed. Spearman rank correlation matrices were constructed to observe the general relationships between particular variables and Boosted Regression Tree models were used for explaining RCP coverage. Our study indicated that in the case of plots located in proximity to the river, the expected coverage of RCP species was highest in plots characterized by a higher soil exchangeable potassium (K) content, as well as in those located closer to the San River and at lower altitudes. In plots situated along anthropogenic linear landscape elements, the expected coverage of RCPs was highest in plots with a high soil exchangeable K content and in those with a high soil pH. The analyses clearly showed that the physicochemical properties of soils indeed affect RCP species occurrence and they require soils with a high exchangeable K content and a high pH. Since these two soil parameters are closely related to soil fertility, and additionally K enhances root development, we suppose that both factors strengthen the competitiveness of RCPs in floodplain ecosystems., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Agnieszka Nobis reports financial support was provided by National Science Centre (Poland)., (Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.)

Predicting the composition and function of microbial communities at a bio-geographical scale, across ecosystems, is challenging. We compared six abandoned fields to six meadows to see whether soil microbial community structure and activity are more similar within the ecosystem type than between the types. We implemented bacteria and fungi phylogenetic markers profiling, phospholipids analysis, fluorescence counts of total bacteria and algae and microscopy of arbuscular mycorrhizal fungi (AMF). The functional performance of microbial communities was assessed using enzymes activity measurements as well as culturing and incubation experiments. The studied fallows and meadows had similar biomass and general structure of soil microbial communities. However, the AMF root colonization frequency was higher in the meadows than in the fallows. The AMF colonization was promoted in meadows characterised by lower availability of NO 3 - , P and K as well as higher soil pH, which additionally hampered plant acquisition of P at the P-limited ecosystem. Fallow and meadow microbial communities showed characteristic functional traits. Meadow soils exhibited higher basal respiration rate, while cellulose decomposition and nitrogen mineralization were faster in fallows. Even when no major differences in community structure could have been detected soil microbial communities adapted to local and/or instantaneous environmental conditions and formed functionally-specific ecotypes. This work points out the relevance of preserving meadows as reservoirs of plant diversity, which cope excellent in nutrient depleted conditions and in mountain regions thanks to microbial components of ecosystem., (Copyright © 2017 Elsevier B.V. All rights reserved.)