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Plant–soil feedback (PSF) is an important driver of plant community dynamics. Many studies have emphasized the role of pathogens and symbiotic mutualists in PSFs; however, less is known about the contribution of decomposing litter, especially that of roots. We conducted a PSF experiment, where soils were conditioned by living early- and mid-successional grasses and forbs with and without decomposing roots of conspecific species (conditioning phase). These soils were used to test growth responses of conspecific and heterospecific plant species (feedback phase). The addition of the roots of conspecifics decreased the biomass of both early- and mid-successional plant species in the conditioning phase. In the feedback phase, root addition had positive effects on the biomass of early-successional species and neutral effects on mid-successional species, except when mid-successional grasses were grown in soils conditioned by conspecifics, where effects were negative. Biomass of early- and mid-successional forbs was generally reduced in soils conditioned by conspecifics. We conclude that root decomposition may increase short-term negative PSF effects, but that the effects can become neutral to positive over time, thereby counteracting negative components of PSF. This implies that root decomposition is a key element of PSF and needs to be included in future studies.

QUESTIONS: Do both current and past (short‐term) farming practices and landscape characteristics have an effect on the diversity of characteristic and rare arable plant communities in organic fields? What is the role of farm management strategies, apart from farm spatial configuration, in determining the diversity components of these species sets? LOCATION: Thirty‐two farms scattered across NE Spain (Catalonia). METHODS: Specialist species of arable fields, belonging to the Secalietalia cerealis Br‐Bl. 1936, were surveyed at the edges of organically managed fields. We assessed the effects of farm management and landscape characteristics at the field and farm scales on α‐, β‐ and γ‐diversity values of these characteristic arable species. Analyses were also conducted on a subset of Secalietalia species that are considered to be rare. Statistical analyses were performed using multimodel inference determined on the basis of all possible models from an a priori set. RESULTS: Field variables, such as years since conversion to organic management, proportion of cereal crops in the rotation and autumn sowing, had a positive effect, whereas growing non‐cereal crops and fertilization had a negative effect on the richness of characteristic species. The field area had a positive effect on the species richness of characteristic and rare arable plants. At the farm level, the proportion of cereal crop fields to the total amount of fields affected both β and γ characteristic diversity. The landscape variables at the farm level only influenced the β‐diversity of rare species. CONCLUSIONS: The effects of management and landscape on arable weed diversity depended on whether the field or the farm is the focus of the analysis. Characteristic and rare arable species were more affected by factors operating at local scales. Characteristic species richness responded positively to sowing cereal crops, autumn sowing and periodic soil disturbances but was negatively affected by slurry fertilization. Thus, policies promoting some of the former practices should favour characteristic arable species and mitigate the decline of the rare arable species.

Questions: Is it possible to restore a target herbaceous plant community on exarable land by sowing foundation species? What is the impact of sheep grazing on the restoration of this ecosystem? How can we rapidly evaluate the success of restoration methods? Location: Nature reserve of the plain of La Crau, southeast France (43° 31'N, 4º 50' E) Methods: In an ex-arable field, we sowed an indigenous species mix in 2007. This was composed of two perennial species dominant in the reference grassland ecosystem (Brachypodium retusum, Thymus vulgaris) and one annual species (Trifo lium subterraneum) also found on the reference grassland and which is wellknown for its ability to quickly cover bare soil. These three species are called foundation species as they play an essential role in structuring the restored ecosystem community. To investigate the significances of the foundation species on community dynamics, four subordinate species were sown 1 yr later: Taeniathe rum caput-medusae, Linum strictum, Evax pygmaea and Asphodelus ayardii. The sub ordinate species are typical plants of the reference grassland which describe well this vegetation type. Results: Sowing foundation species was an effective means of reintroducing them. Their presence in the ex-arable field very rapidly promoted establishment of grassland species and impeded establishment of weeds. When grazing was excluded, the foundation species covered the ground, particularly with Trifolium subterraneum, which reached 54% ground cover. Subordinate species established better on the foundation species sown treatment and on the grazed treatment. Conclusion: In the short term, sowing indigenous foundation species and maintaining grazing seems to be a good method to restore grassland plant communities that have a poor ability to re-establish spontaneously. This study also demonstrates that sowing and monitoring of subordinate species is an effective method to rapidly test whether a particular restoration protocol will have a positive effect on community assembly and development.

In arable fields, plant species richness consistently increases at field edges. This potentially makes the field edge an important habitat for the conservation of the ruderal arable flora (or ‘weeds’) and the invertebrates and birds it supports. Increased diversity and abundance of weeds in crop edges could be owing to either a reduction in agricultural inputs towards the field edge and/or spatial mass effects associated with dispersal from the surrounding landscape. We contend that the diversity of weed species in an arable field is a combination of resident species, that can persist under the intense selection pressure of regular cultivation and agrochemical inputs (typically more ruderal species), and transient species that rely on regular dispersal from neighbouring habitats (characterised by a more ‘competitive’ ecological strategy). We analysed a large dataset of conventionally managed arable fields in the UK to study the effect of the immediate landscape on in‐field plant diversity and abundance and to quantify the contribution of spatial mass effects to plant diversity in arable fields in the context of the ecological strategy of the resulting community. We demonstrated that the decline in diversity with distance into an arable field is highly dependent on the immediate landscape, indicating the important role of spatial mass effects in explaining the increased species richness at field edges in conventionally managed fields. We observed an increase in the proportion of typical arable weeds away from the field edge towards the centre. This increase was dependent on the immediate landscape and was associated with a higher proportion of more competitive species, with a lower fidelity to arable habitats, at the field edge. Synthesis and applications. Conserving the ruderal arable plant community, and the invertebrates and birds that use it as a resource, in conventionally managed arable fields typically relies on the targeted reduction of fertilisers and herbicides in so‐called ‘conservation headlands’. The success of these options will depend on the neighbouring habitat and boundary. They should be placed along margins where the potential for ingress of competitive species, that may become dominant in the absence of herbicides, is limited. This will enhance ecosystem services delivered by the ruderal flora and reduce the risk of competitive species occurring in the crop. Conserving the ruderal arable plant community, and the invertebrates and birds that use it as a resource, in conventionally managed arable fields typically relies on the targeted reduction of fertilisers and herbicides in so‐called ‘conservation headlands’. The success of these options will depend on the neighbouring habitat and boundary. They should be placed along margins where the potential for ingress of competitive species, that may become dominant in the absence of herbicides, is limited. This will enhance ecosystem services delivered by the ruderal flora and reduce the risk of competitive species occurring in the crop.

The definition of “arable weeds” remains contentious. Although much attention has been devoted to specialized, segetal weeds, many taxa found in arable fields also commonly occur in other habitats. The extent to which adjacent habitats are favorable to the weed flora and act as potential sources of colonizers in arable fields remains unclear. In addition, weeds form assemblages with large spatiotemporal variability, so that many taxa in weed flora are rarely observed in plot-based surveys. We thus addressed the following questions: How often do weeds occur in other habitats than arable fields? How does including field edges extend the taxonomic and ecological diversity of weeds? How does the weed flora vary across surveys at different spatial and temporal scales? We built a comprehensive dataset of weed taxa in France by compiling weed flora, lists of specialized segetal weeds, and plot-based surveys in agricultural fields, with different spatial and temporal coverages. We informed life forms, biogeographical origins and conservation status of these weeds. We also defined a broader dataset of plants occupying open habitats in France and assessed habitat specialization of weeds and of other plant species absent from arable fields. Our results show that many arable weeds are frequently recorded in both arable fields and non-cultivated open habitats and are, on average, more generalist than species absent from arable fields. Surveys encompassing field edges included species also occurring in mesic grasslands and nitrophilous fringes, suggesting spill-over from surrounding habitats. A total of 71.5% of the French weed flora was not captured in plot-based surveys at regional and national scales, and many rare and declining taxa were of Mediterranean origin. This result underlines the importance of implementing conservation measures for specialist plant species that are particularly reliant on arable fields as a habitat, while also pointing out biotic homogenization of agricultural landscapes as a factor in the declining plant diversity of farmed landscapes. Our dataset provides a reference species pool for France, with associated ecological and biogeographical information.

Context There is an urgent need to stop the biodiversity loss in European agricultural landscapes. These landscapes, due to their fragmentation, include a lot of edges, many of them between habitats of different quality in terms of biodiversity. Objectives Here, we ask how plant species richness is distributed from the interior of protected semi-natural grassland into the interior of adjacent crop fields, and which species groups determine the observed patterns. Methods At grassland–crop field interfaces in two German landscapes, we sampled the vegetation along transects extending 32 m into both habitats. Based on theory, we fitted different models to visualize the species richness curve along transects and selected the best model via AIC. Results The best fitting model for all species was monotone over the interface with a minimum in the field and a maximum in the grassland. This shape was driven by the generalists, showing the same pattern, while grassland specialists showed a sigmoid curve with an increase only in the grassland. Arable specialists had a peak at the field edge and decreased towards the grassland. Curves for Ellenberg indicator values for moisture, nutrients and light showed the same shape as the overall species curve, yet with an inverse pattern for light. Conclusions This is the first study revealing gradual responses of plant species richness at the grassland–crop field interface with a high spatial resolution. As these adjacent habitats influence each other far into their neighbourhood, attention should be given when conserving biodiversity in agricultural landscapes, particularly in case of often small and scattered protected areas.

Arable field abandonment is a major driver of landscape change in rural areas worldwide. It is defined as the cessation of agricultural activities and the withdrawal of agricultural management on land. This study examined arable land abandonment and subsequent land use and land cover (LULC) changes in Gotyibeni, Manqorholweni, Mawane, and Melani villages over a 20-year period. The aim was to understand these changes and how rural livelihoods and social relationships within and between households were perceived to have transformed following the LULC shifts. Landsat 5, 7, 8, and 9 multispectral imageries with a 30 m spatial resolution were analysed for two periods (i.e., 2000–2010 and 2010–2020). Five land cover classes were mapped: arable fields, grasslands, homestead gardens, residential areas, and shrublands. Post-classification change detection revealed a steady decline in arable fields, largely replaced by grasslands, shrublands, and residential areas. User accuracy was above 80% across all LULC maps, providing confidence in the LULC results. To link these spatial changes with social outcomes, 97 households that had abandoned field cultivation were purposively selected across the four villages. Semi-structured interviews were conducted to capture household experiences. Findings showed that reduced field cultivation was perceived to undermine household economic status, with households increasingly dependent on government social grants amid high unemployment. In addition, weakened social connections and shifts in cultural practices were reported. Overall, the study demonstrated how combining satellite imagery with community perspectives provides a comprehensive understanding of rural arable land abandonment and its consequences.

Most studies of agroforestry system biodiversity focus on assessing visible, aboveground biodiversity, largely ignoring soil biodiversity. To fill this gap, a preliminary assessment of soil biodiversity in an agroforestry system was undertaken based on changes in soil enzyme activity. The study was conducted in the village of Maziarnia, Lubelskie Voivodeship, Poland, Europe. Arable fields with spring wheat, mid-field trees and perennial mixed forest were selected for the study. Soil material for physicochemical analyses (pHH2O, pHKCl, sorption properties, total carbon and total nitrogen) and biochemical analyses (activity of acid phosphatase, alkaline phosphatase, urease and dehydrogenases) was collected in the spring and autumn of 2022. The present study showed that the biochemical properties of the soils of the selected study sites varied depending on the type of ecosystem determining habitat conditions. Each ecosystem that makes up the agroforestry system studied is characterised by a distinctive microbiome composition and its own level of enzymatic activity. The obtained results support the thesis that agroforestry systems significantly increase the functional diversity and overall biodiversity of agricultural landscapes. However, a full, objective characterisation of the processes taking place in agroforestry systems requires long-term monitoring.

Questions : While globalisation favours intensive yield-maximizing agriculture with cropping practices that entail agrobiodiversity loss, extensive production systems still exist in areas of marginal lands such as in mountainous regions or islands. It is overdue to study such systems, their sustainability and ecology as potential models for decentralized environmentally balanced land-use. For that purpose, we investigated the composition of the wild arable (segetal) flora in traditional thermo- to mesomediterranean cereal-growing agroecosystems of northwestern Morocco. Study area : The Tingitane (Tangier) Peninsula in the Northwest of Morocco. Methods : A sample of 94 relevés was collected in six areas in the foreland of the Rif Mountains. Results : We found 209 species in 150 genera and 41 families, a mean of 22 species per relevé and a Shannon index of 3.04±0.06. A TWINSPAN classification revealed a high level of similarity between the areas, with the plant communities corresponding to the order Brometalia rubenti-tectorum , but also differences in species composition as a result of climatic, soil and land-use effects. Therophytes dominated, but biennial and perennial herbs indicating shallow tillage and fields under fallow were also common. Almost half of the species found were agrestal species (confined to arable fields), and almost a third were apophytes (native species occurring in fields but also in natural habitats). Twenty-nine species (14%) of the segetal flora were regional endemics and six are considered nationally rare. Although there is evidence of recent structural and floristic diversity decline, traditional agroecosystems tend to favour native species including some of particular conservation interest. Conclusions : The traditional agroecosystems of the Rif Mountains fulfil criteria of High Nature Value agriculture but, in view of recent socio-economic change, require support by policy for their maintenance. Taxonomic reference : Euro+Med PlantBase (http://www.europlusmed.org) [accessed 26 Nov 2022]. Syntaxonomic reference : EuroVegChecklist (Mucina et al. 2016). Abbreviations : TWINSPAN = Two Way Indicator Species Analysis.

The European Common Agricultural Policy (CAP) post-2020 timeframe reform will reshape the agriculture land use control procedures from a selected risk fields-based approach into an all-inclusive one. The reform fosters the use of Sentinel data with the objective of enabling greater transparency and comparability of CAP results in different Member States. In this paper, we investigate the analysis of a time series approach using Sentinel-2 images and the suitability of the BFAST (Breaks for Additive Season and Trend) Monitor method to detect changes that correspond to land use anomaly observations in the assessment of agricultural parcel management activities. We focus on identifying certain signs of ineligible (inconsistent) use in permanent meadows and crop fields in one growing season, and in particular those that can be associated with time-defined greenness (vegetation vigor). Depending on the requirements of the BFAST Monitor method and currently time-limited Sentinel-2 dataset for the reliable anomaly study, we introduce customized procedures to support and verify the BFAST Monitor anomaly detection results using the analysis of NDVI (Normalized Difference Vegetation Index) object-based temporal profiles and time-series standard deviation output, where geographical objects of interest are parcels of particular land use. The validation of land use candidate anomalies in view of land use ineligibilities was performed with the information on declared land annual use and field controls, as obtained in the framework of subsidy granting in Slovenia. The results confirm that the proposed combined approach proves efficient to deal with short time series and yields high accuracy rates in monitoring agricultural parcel greenness. As such it can already be introduced to help the process of agricultural land use control within certain CAP activities in the preparation and adaptation phase.