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Studies of animal behavior are crucial to understanding animal-ecosystem interactions, but require substantial efforts in visual observation or sensor measurement. We investigated how classifying behavioral states of grazing livestock using global positioning data alone depends on the classification approach, the preselection of training data, and the number and type of movement metrics. Positions of grazing cows were collected at intervals of 20 seconds in six upland areas in Switzerland along with visual observations of animal behavior for comparison. A total of 87 linear and cumulative distance metrics and 15 turning angle metrics across multiple time steps were used to classify position data into the behavioral states of walking, grazing, and resting. Five random forest classification models, a linear discriminant analysis, a support vector machine, and a state-space model were evaluated. The most accurate classification of the observed behavioral states in an independent validation dataset was 83%, obtained using random forest with all available movement metrics. However, the state-specific accuracy was highly unequal (walking: 36%, grazing: 95%, resting: 58%). Random undersampling led to a prediction accuracy of 77%, with more balanced state-specific accuracies (walking: 68%, grazing: 82%, resting: 68%). The other evaluated machine-learning approaches had lower classification accuracies. The state-space model, based on distance to the preceding position and turning angle, produced a relatively low accuracy of 64%, slightly lower than a random forest model with the same predictor variables. Given the successful classification of behavioral states, our study promotes the more frequent use of global positioning data alone for animal behavior studies under the condition that data is collected at high frequency and complemented by context-specific behavioral observations. Machine-learning algorithms, notably random forest, were found very useful for classification and easy to implement. Moreover, the use of measures across multiple time steps is clearly necessary for a satisfactory classification. [ABSTRACT FROM AUTHOR]

Highlights: [•] Species richness in Alpine pasture peaks at low levels of wood cover. [•] Sites with higher temperature are more vulnerable to species loss by wood cover. [•] Wood cover is especially harmful to low-abundance species. [•] Wood cover does not affect the slope of the species–area relationship. [ABSTRACT FROM AUTHOR]

Summary: Field studies have shown that diffuse herbicide losses to surface waters often originate from a limited part of a catchment only. These critical source areas (CSA) are characterized by the occurrence of fast-flow processes like surface runoff or macropore flow to tile drains. Moreover, topographic barriers often interrupt the overland flow into the adjacent brook and lead to internal sink areas. From there artificial drains can create a shortcut to the stream network. We tested the predictability of CSA with a modified version of the hydrological Soil Moisture Distribution & Routing model (SMDR). The study area was a small agricultural catchment in Switzerland, in which herbicide losses to surface waters had been experimentally investigated. The small-scale structures, relevant for surface connectivity, were derived using terrain analysis algorithms based on a high-resolution digital elevation map. The analysis showed that surface runoff from a large part (66%) of the study area cannot reach the stream network. Based on prior parameter estimates, the simulated discharge agreed well with the measured values for spring 2000 (Nash–Sutcliffe coefficient of 0.88). Surface saturation was mainly predicted for Gleysol areas, whereby topography was the main driver, and not soil properties. The spatial distribution of CSA and predicted runoff processes agreed well with measured herbicide losses. The main losses were predicted for connected areas prone to surface runoff; additional drained sinks (reinfiltration areas on unconnected areas) were identified as potential risk areas. The predictions are subject to substantial uncertainties. A local sensitivity analysis revealed that the model is most sensitive to parameters describing the lower boundary of the soil (deep percolation and depth of the soil). The spatial extent and the efficiency of the drainage system are also crucial for the spatial variability of herbicide losses. [Copyright &y& Elsevier]

Abstract: We study individual plant growth and size hierarchy formation in an experimental population of Arabidopsis thaliana, within an integrated analysis that explicitly accounts for size-dependent growth, size- and space-dependent competition, and environmental stochasticity. It is shown that a Gompertz-type stochastic differential equation (SDE) model, involving asymmetric competition kernels and a stochastic term which decreases with the logarithm of plant weight, efficiently describes individual plant growth, competition, and variability in the studied population. The model is evaluated within a Bayesian framework and compared to its deterministic counterpart, and to several simplified stochastic models, using distributional validation. We show that stochasticity is an important determinant of size hierarchy and that SDE models outperform the deterministic model if and only if structural components of competition (asymmetry; size- and space-dependence) are accounted for. Implications of these results are discussed in the context of plant ecology and in more general modelling situations. [Copyright &y& Elsevier]

Registering a veterinary medicinal product (VMP) in the European Union requires assessing its potential to contaminate surface waters (SW) on a European scale. VMP are spread to land in manure or excreted during grazing and may enter SW through runoff, erosion, or leaching. Since the factors driving these processes vary largely across Europe, it is necessary to identify characteristic conditions, so-called scenarios, under which VMP enter SW. These scenarios may guide the parameterization of mechanistic fate models to predict environmental concentrations for environmental risk assessment. A number of such scenarios for pesticides and VMP have been developed rather pragmatically. Here, we describe how a geo-referenced European database of driving factors was used to divide the European environment into groups with similar conditions for SW contamination by VMP. Out of these groups, relevant exposure scenarios in Europe were selected by a simple scoring system. Comparing these to the existing scenarios showed that a number of situations are not well covered. The newly identified scenarios are primarily located in hilly areas of Central Europe and the Mediterranean, and in Eastern European plains with a continental climate. We recommend that they are included in the technical guidelines for higher-tier assessment of VMP. [ABSTRACT FROM AUTHOR]

• In grasslands, the loss of structural carbon (C) from nonharvested plant parts is a primary C source for the soil. The amount of input depends not only on the size of structural C pools but also on their loss rates. • In the field, we examined the effects of elevated atmospheric partial pressures of CO2 (pCO2) and nitrogen (N) supply on pool size and rates of structural C loss in stubble and roots of perennial ryegrass ( Lolium perenne) by using multiple-pulse labelling and steady-state labelling. • Stubble retained structural C for roughly half the time it was retained in roots. Elevated pCO2 combined with low N supply enlarged the pools of roots and stubble. These conditions also stimulated the rate of structural C loss from stubble and, thus, the amounts available for further transformation. • The potential of multiple-pulse labelling as a field technique is highlighted. The stimulation of structural C loss from stubble by elevated pCO2 at low N provides a missing link between increased C assimilation and low yield response and indicates a potentially higher input of structural C into the soil. [ABSTRACT FROM AUTHOR]

1 The effects of neighbours on the growth of individual plants are fundamental to dynamics in plant populations and can be described by means of mathematical functions, so-called competition kernels, in formal spatiotemporal models. Little is known about the form and components such functions should have. 2 We evaluate some properties of kernel functions using data on the growth of Arabidopsis thaliana plants in replicated, even-aged stands of many individuals. Because of the essential non-independence of plant growth in stands, we employed a Bayesian hierarchical modelling approach to estimate values and uncertainties of kernel parameters in location-dependent models of interacting plants. 3 During the experiment plant size and a simple measure of neighbourhood crowding became strongly correlated, plants tending to be small where local crowding was intense, indicating that local competition was an important process in the growth of the plants. 4 Competitive interactions between plants of different sizes were strongly asymmetric, the larger individual acquiring a disproportionately greater share of resources. Competition increased with plant size and attenuated rapidly at distances of a few centimetres, but the exact shape of the attenuation function was less important. 5 Kernel functions with the same kind of structural features were similar in their predictive ability. However, a simple zone-of-influence model, based on overlap of pairs of individuals, with competition favouring the larger individual, was arguably the most parsimonious. 6 Neighbourhood competition in stands of even-aged plants may be successfully captured with relatively simple kernel functions. The results should inform and enhance the formal theory of spatiotemporal plant population and community dynamics. Bayesian hierarchical modelling is a powerful tool with which to analyse complex, spatially dependent data, and has potential as a widely applicable statistical approach for plant ecology. [ABSTRACT FROM AUTHOR]

Effects of free-air carbon dioxide enrichment (FACE, 60 Pa pCO2) on plant growth as compared with ambient pCO2 (36 Pa) were studied in swards of Lolium perenne L. (perennial ryegrass) at two levels of N fertilization (14 and 56 g m−2 a−1) from 1993 to 2002. The objectives were to determine how plant growth responded to the availability of C and N in the long term and how the supply of N to the plant from the two sources of N in the soil, soil organic matter (SOM) and mineral fertilizer, varied over time. In three field experiments, 15N-labelled fertilizer was used to distinguish the sources of available N. In 1993, harvestable biomass under elevated pCO2 was 7% higher than under ambient pCO2. This relative pCO2 response increased to 32% in 2002 at high N, but remained low at low N. Between 1993 and 2002, the proportions and amounts of N in harvestable biomass derived from SOM (excluding remobilized fertilizer) were, at high N, increasingly higher at elevated pCO2 than at ambient pCO2. Two factorial experiments confirmed that at high N, but not at low N, a higher proportion of N in harvestable biomass was derived from soil (including remobilized fertilizer) following 7 and 9 years of elevated pCO2, when compared with ambient pCO2. It is suggested that N availability in the soil initially limited the pCO2 response of harvestable biomass. At high N, the limitation of plant growth decreased over time as a result of the stimulated mobilization of N from soil, especially from SOM. Consequently, harvestable biomass increasingly responded to elevated pCO2. The underlying mechanisms which contributed to the increased mobilization of N from SOM under elevated pCO2 are discussed. This study demonstrated that there are feedback mechanisms in the soil which are only revealed during long-term field experiments. Such investigations are thus, a prerequisite for understanding the responses of ecosystems to elevated pCO2 and N supply. [ABSTRACT FROM AUTHOR]

• Remote sensing imagery allows mapping of grassland management at large scales. • Landsat phenology metrics capture complex spatio-temporal management patterns. • Mapped management classes describe use intensities of mowing and grazing practices. • Management maps contribute to balance intensification and ecosystem functioning. Spatial monitoring of grassland management is crucial for ecosystem assessment and the establishment of sustainable agriculture. Switzerland is covered by large areas of small structured grassland parcels differing in management practices and use intensities, making the mapping of grassland management challenging. We present a monitoring tool to map grassland management, distinguishing between mowing- and grazing practice, and between different use intensities for Swiss agroecosystems. By analyzing pixelwise spectral time series of 2015, derived from satellite imagery of the Landsat archive, we estimated the number of management events and biomass productivity. Both estimates were used to map classes of dominant management practices and use intensities following a stepwise clustering approach. The grassland management (GM) classes were evaluated relative to established spectral and topographical patterns of grassland use intensity, and in terms of spatial conformity with available regional land use data. The GM classes were also analyzed with respect to management related vegetation plot data on species diversity, as well as on indicator values for nutrient supply and management tolerance. The stepwise clustering gave three use intensity classes for each dominant management practice of grazing (pasture) and mowing (meadow). Use intensity was higher for meadows than pastures with a distinct intensity gradient for each grassland practice. The GM classes reproduced established spectral and topographical patterns of grassland use intensity, indicated by increased standard deviations (SD) of spectral time series profiles (e.g. mean SD of 0.048 for pastures and 0.054 for meadows) and lower slopes (e.g. mean slopes of 10° for pastures and 7° for meadows). The averaged spatial conformity of the GM classes with a cantonal land use map was 82% for meadows and 97% for pastures. The GM classes spatially matched with land use patterns of three subregions, e.g. with an areal proportion of 73% pasture classes for a subregion dominated by grazing. Moreover, the GM classes reproduced established vegetation patterns of grassland use intensity along the GM intensity gradient, showing a mean decrease in species richness (33%), as well as a mean increase in indicator values for nutrient supply (5%), grazing tolerance (4%), and mowing tolerance (6%). [ABSTRACT FROM AUTHOR]

The degree to which elevated CO2 concentrations (e[CO2]) increase the amount of carbon (C) assimilated by vegetation plays a key role in climate change. However, due to the short‐term nature of CO2 enrichment experiments and the lack of reconciliation between different ecological scales, the effect of e[CO2] on plant biomass stocks remains a major uncertainty in future climate projections. Here, we review the effect of e[CO2] on plant biomass across multiple levels of ecological organization, scaling from physiological responses to changes in population‐, community‐, ecosystem‐, and global‐scale dynamics. We find that evidence for a sustained biomass response to e[CO2] varies across ecological scales, leading to diverging conclusions about the responses of individuals, populations, communities, and ecosystems. While the distinct focus of every scale reveals new mechanisms driving biomass accumulation under e[CO2], none of them provides a full picture of all relevant processes. For example, while physiological evidence suggests a possible long‐term basis for increased biomass accumulation under e[CO2] through sustained photosynthetic stimulation, population‐scale evidence indicates that a possible e[CO2]‐induced increase in mortality rates might potentially outweigh the effect of increases in plant growth rates on biomass levels. Evidence at the global scale may indicate that e[CO2] has contributed to increased biomass cover over recent decades, but due to the difficulty to disentangle the effect of e[CO2] from a variety of climatic and land‐use‐related drivers of plant biomass stocks, it remains unclear whether nutrient limitations or other ecological mechanisms operating at finer scales will dampen the e[CO2] effect over time. By exploring these discrepancies, we identify key research gaps in our understanding of the effect of e[CO2] on plant biomass and highlight the need to integrate knowledge across scales of ecological organization so that large‐scale modeling can represent the finer‐scale mechanisms needed to constrain our understanding of future terrestrial C storage. [ABSTRACT FROM AUTHOR]

To evaluate progress on political biodiversity objectives, biodiversity monitoring provides information on whether intended results are being achieved. Despite scientific proof that monitoring and evaluation increase the (cost) efficiency of policy measures, cost estimates for monitoring schemes are seldom available, hampering their inclusion in policy programme budgets., Empirical data collected from 12 case studies across Europe were used in a power analysis to estimate the number of farms that would need to be sampled per major farm type to detect changes in species richness over time for four taxa (vascular plants, earthworms, spiders and bees). A sampling design was developed to allocate spatially, across Europe, the farms that should be sampled., Cost estimates are provided for nine monitoring scenarios with differing robustness for detecting temporal changes in species numbers. These cost estimates are compared with the Common Agricultural Policy ( CAP) budget (2014-2020) to determine the budget allocation required for the proposed farmland biodiversity monitoring., Results show that the bee indicator requires the highest number of farms to be sampled and the vascular plant indicator the lowest. The costs for the nine farmland biodiversity monitoring scenarios corresponded to 0·01%-0·74% of the total CAP budget and to 0·04%-2·48% of the CAP budget specifically allocated to environmental targets., Synthesis and applications. The results of the cost scenarios demonstrate that, based on the taxa and methods used in this study, a Europe-wide farmland biodiversity monitoring scheme would require a modest share of the Common Agricultural Policy budget. The monitoring scenarios are flexible and can be adapted or complemented with alternate data collection options (e.g. at national scale or voluntary efforts), data mobilization, data integration or modelling efforts. [ABSTRACT FROM AUTHOR]

Green alder shrubs Alnus viridis increasingly overgrow European mountain pastures but hinder natural forest succession. This nitrogen‐fixing, autochthonous invasive species has numerous negative effects including the loss of biodiversity and landscape aesthetic, eutrophication of soils and downstream waters, and greenhouse gas emission. Over centuries, A. viridis encroachment was impeded by grazing livestock, particularly goats. However, in modern agriculture, livestock numbers decreased on remote mountain pastures and goat farming became unprofitable.A grazing experiment tested if hardy breeds of the more economically attractive livestock species, cattle and sheep can replace goats as A. viridis antagonists. On a subalpine pasture heavily encroached by A. viridis, space use and debarking (bark foraging) by Dexter cattle, Engadine sheep and Pfauen goats were analysed using GPS tracking and vegetation mapping.Dexter cattle used space least evenly (Camargo evenness: cattle = 0.39; sheep = 0.52; and goats = 0.47) and preferred flat slopes and open pastures. They spent least time foraging in A. viridis stands (relative presence while foraging: cattle = 0.55; sheep = 0.76; and goats = 0.80). Dexter cattle did not debark any A. viridis, but damaged shrubs by trampling.Engadine sheep visited A. viridis stands nearly as often as goats, but preferred flat slopes, short vegetation and shrub edges more clearly than goats. This sheep breed debarked significantly more A. viridis branches (average 244 branches per paddock; 7.4% of all A. viridis branches) than goats (45; 0.8%). Goats preferred mountain‐ash shrubs Sorbus aucuparia covering only 2% of the shrub layer.Synthesis and applications. Green alder shrubs, controlled by goats traditionally, overgrow valuable mountain pasture ecosystems today. Cattle, kept instead of goats, may slow down but not hinder shrub encroachment, because they avoid shrub stands and do not debark green alder. However, this study is the first to show that Engadine sheep are even better suited for green alder clearance than goats. Moreover, if management goals include forest re‐establishment, Engadine sheep outperform goats, because they debark green alder (which hinders forest regeneration), but do not destroy elderberry—a valuable forest pioneer. Hardy breeds are an important tool to maintain biodiverse, open pastures, restore natural mountain forests and mitigate the negative environmental effects of shrub encroachment. [ABSTRACT FROM AUTHOR]

Highlights: [•] Designing effective measures for biodiversity requires a multi-taxon approach. [•] Plants, earthworms, spiders and bees in arable fields across Europe are analysed. [•] Patterns in species communities are mainly affected by the study region. [•] Abundance, species richness and composition respond differently to drivers. [•] Effects of agricultural management are taxon-specific. [ABSTRACT FROM AUTHOR]

The study target was to assess the usefulness of the OECD test guideline 307 for the veterinary pharmaceutical ivermectin. Laboratory microcosm studies were conducted to investigate the aerobic and anaerobic transformation of ivermectin in soils from three locations in Europe (York, Madrid and Tåstrup) and an artificial soil. The reason to include an artificial soil in the study was to understand the exposure potential of ivermectin in a parallel eco-toxicological study with non-target organisms in this soil for a longer duration. Three kinetic models (first-order (SFO), availability-adjusted first-order (AAFO) and bi-exponential first-order (BFO)) were applied to fit the observed transformation dynamics and to derive dissipation times. Dissipation rates were highly dependent on the tested soils. Under aerobic conditions, dissipation was remarkably faster in the three natural soils tested (DT50 =16.1–36.1d) than in the artificial soil (DT50 >500d). Furthermore, a clear increase in DT50 values was seen when the temperature was lowered from 20 to 6°C. The results indicated that dissipation in soils with comparably strong sorption and low degrees of desorption (i.e. the York soil and to some extent the Tåstrup soil) were best described by the AAFO model. While dissipation in the Madrid soil which had a lower sorption coefficient and a higher degree of reversibility of sorption could be satisfactorily described with the SFO model. Our data further showed that no significant dissipation occurred under anaerobic conditions. [Copyright &y& Elsevier]

Forage selection by herbivores is a major driver of plant diversity in pasture vegetation. Yet, we know relatively little about how plant traits influence decisions of different herbivore species and breeds to select or avoid a certain plant species on semi‐natural pastures.We quantified the influence of the traits leaf N and P content, leaf dry matter content (LDMC), specific leaf area (SLA) and physical defence mechanisms on plant species selection for three cattle breeds: high‐yielding Angus × Holstein crossbreed, dual‐purpose Original Braunvieh and undemanding Highland Cattle. The cattle grazed a series of adjacent paddocks in different alpine pastures. Plant species selection was quantified by assessing the difference in biomass proportions of all plant species in 66 vegetation subplots per breed before and after grazing. Plant traits and indicator values were extracted from the TRY database. Data on 152 plant species were analysed using a local mixed‐effects model and a global multivariate hierarchical regression model.Plant traits had a clear impact on forage behaviour. Plants with high SLA, leaf N and P contents were significantly selected, whereas plants with high LDMC (e.g. woody plants) and defence mechanisms (e.g. thistles) were generally avoided. Species with high forage quality indicator values as defined by Briemle et al. (2002) were significantly preferred. More importantly, significant differences between forage behaviour of cattle breeds were detected. Selection by less‐productive Highland Cattle was much less influenced by plant traits than the selection by the two higher‐yielding breeds.Results indicate a clear impact of plant traits on forage selection and demonstrate breed‐specific influences. Highland Cattle (and possibly other robust breeds) graze less selectively and impose less selective exclusion on plants. Thereby, they likely influence plant species composition of pastures in a different way than high‐yielding breeds, thereby creating a distinct habitat. A free Plain Language Summary can be found within the Supporting Information of this article. [ABSTRACT FROM AUTHOR]

Traditional summer pastures in the Alps have been shaped by centuries of grazing by domestic livestock. To understand the effects of this land use on nutrient cycling, we quantified phosphorus (P) fluxes on a summer farm in southeastern Switzerland. We used high-frequency GPS tracking to record the spatial distribution of animal activities over an entire grazing season, and used these data to model spatial patterns of P depletion and accumulation at various spatial scales (the entire farm, four vegetation groups, 900 m 2 sampling plots and 10 × 10 m 2 grid cells). Since the model depended on parameter values obtained from diverse sources, we tested its robustness using Monte Carlo simulations based upon varying parameter values. The model indicated very small net P fluxes (between − 0.05 and + 0.05 kg P ha −1  yr −1 ) over nearly half (49%) of the pasture, mostly in dwarf-shrub vegetation. In a further 44% of the area, P depletion exceeded ‐0.05 kg P ha −1 yr −1 , representing a total loss of 39.4 kg P yr −1 (2.1 kg P ha −1 ). A positive P balance of over 0.05 kg P ha −1  yr −1 was indicated for 6.6% of the area, representing a total annual accumulation of 16.4 kg P (1.8 kg P ha −1 ). The overall P balance for the entire summer farm was thus negative. The patches of substantial depletion or accumulation formed a mosaic in the areas most used by cattle. More active management of cattle and stable manure is recommended to maintain the delivery of ecosystem services. [ABSTRACT FROM AUTHOR]

Sorption of sulfathiazole (STA) and three structural analogs to Leonardite humic acid (LHA) was investigated in single- and binary-solute systems to elucidate the sorption mechanism of sulfonamides to soil organic matter (SOM). Cation binding of STA+ to anionic sites A- in LHA governed sorption up to circumneutral pH, based on the following findings: (i) From pH 7.7 to 3.3, the increase in extent and nonlinearity (i.e., concentration dependence) of STA sorption paralleled the increase in STA+. (ii) From pH 3.3 to 1.7, sorption decreased and nonlinearity increased, consistent with strong competition of STA+ and H+ for A-. (iii) Replacement of the protonable aniline group in STA by an apolar methylbenzene group resulted in much weaker, linear, and pH-independent sorption. (iv) Only analogs with aniline moieties displaced STA from LHA in binary-solute systems. Displacement occurred up to pH 5.4, at which <1% of STA in solution was cationic. (v) STA sorption was well-described (R² = 0.98) by the NICA—Donnan cation-binding model, yielding high median affinities for STA+ to carboxylic and phenolic A- (log KSTA+,1 = 3.25 ± 0.08 log (L mol-1) and log KSTA+,2 = 8.76 ± 0.11 log (L mol-1), respectively). High affinity cation binding explains sorption of polar sulfonamides in agricultural soils and the strong dependence of sorption on SOM content and pH. [ABSTRACT FROM AUTHOR]

The effects of elevated pCO2 on net ecosystem CO2 exchange were investigated in managed Lolium perenne (perennial ryegrass) and Trifolium repens (white clover) monocultures that had been exposed continuously to elevated pCO2 (60 Pa) for nine growing seasons using Free Air CO2 Enrichment (FACE) technology. Two levels of nitrogen (N) fertilization were applied. Midday net ecosystem CO2 exchange (mNEE) and night-time ecosystem respiration (NER) were measured in three growing seasons using an open-flow chamber system. The annual net ecosystem carbon (C) input resulting from the net CO2 fluxes was estimated for one growing season. In both monocultures and at both levels of N supply, elevated pCO2 stimulated mNEE by up to 32%, the exact amount depending on intercepted PAR . The response of mNEE to elevated pCO2 was larger than that of harvestable biomass. Elevated pCO2 increased NER by up to 39% in both species at both levels of N supply. NER, which was affected by mNEE of the preceding day, was higher in T. repens than in L. perenne. High N increased NER compared to low N supply. According to treatment, the annual net ecosystem C input ranged between 210 and 631 g C m−2 year−1 and was not significantly affected by the level of pCO2. Low N supply led to a higher net C input than high N supply. We demonstrated that at the ecosystem level, there was a long-term stimulation in the net C assimilation during daytime by elevated pCO2. However, because NER was also stimulated, net ecosystem C input was not significantly increased at elevated pCO2. The annual net ecosystem C input was primarily affected by the amount of N supplied. [ABSTRACT FROM AUTHOR]

• No-tillage (NT) and mouldboard ploughing (MP) were compared in a lysimeter trial. • Under NT crop yields and N removals were slightly lower than in MP. • Seepage volumes were higher under NT. • Nitrate leaching was lower under NT than MP, but not statistically significant. • Leaching rates were more affected by nitrate concentrations than by seepage volumes. The intensification of agriculture in the industrialized countries since the 1950s led to an increase not only in productivity but also in nitrate concentrations of ground and surface waters. In some countries, various policy measures aim at reducing agricultural nitrogen losses to waters. Still, nitrate concentrations of groundwater impair drinking water quality and nitrogen inputs to surface water are elevated in many areas. Since no-tillage (NT) is often promoted as a farming system that reduces nitrate leaching, we conducted a seven-year lysimeter trial at Berne-Liebefeld (Switzerland) to compare impacts of NT with mouldboard ploughing (MP) in a diverse crop rotation. Crop yields were 13 % lower and N removals by harvested products 5 % lower under NT than under MP. Seepage volumes under NT exceeded those under MP by 8 %. Larger seepage volumes under NT were found in nearly all crop-by-year combinations and months of the year. Mean nitrate concentrations of seepage water were 20 % lower under NT than under MP but still exceeded Swiss official limits for drinking water quality. On average, nitrate-leaching rates were more affected by nitrate concentrations than by seepage volumes because nitrate concentrations varied much more between tillage systems, crop types and years than seepage volumes. Mean annual rates of nitrate leached exceeded 50 kg N ha−1 in both tillage systems and crop rotations with a large range from 2 to 221 kg N ha−1 in individual years. NT showed 14 % lower leaching rates than MP. The differences between the two tillage systems were not statistically significant due to elevated coefficients of variation and the small number of replicates. Improvements in experimental design are suggested to increase the statistical power in future trials. [ABSTRACT FROM AUTHOR]

Grasslands provide multiple Ecosystem Services (ES) such as forage provision, carbon sequestration or habitat provision. Knowledge about the trade-offs between these ES is of great importance for grassland management. Yet, the outcome of different management strategies on ES provision is highly uncertain due to spatial variability. We aim to characterize the provision (level and spatial variability) of grassland ES under various management strategies. To do so, we combine empirical data for multiple ES with spatially explicit census data on land use intensities. We analyzed the variations of five ES (forage provision, climate regulation, pollination, biodiversity conservation and outdoor recreation) using data from biodiversity fieldwork, experimental plots for carbon as well as social network data from Flickr. These data were used to calculate the distribution of modelled individual and multiple ES values from different grassland management types in a Swiss case study region using spatial explicit information for 17,383 grassland parcels. Our results show that (1) management regime and intensity levels play an important role in ES provision but their impact depends on the ES. In general, extensive management, especially in pastures, favors all ES but forage provision, whereas intensive management favors only forage provision and outdoor recreation; (2) ES potential provision varies between parcels under the same management due to the influence of environmental drivers, related to topography and landscape structure; (3) there is a trade-offs between forage provision and other ES at the cantonal level but a synergy between forage provision and biodiversity conservation within the grassland categories, due to the negative impact of elevation on both ES. Information about multiple ES provision is key to support effective agri-environmental measures and information about the spatial variability can prevent uncertain outputs of decision-making processes. • Bundles of ES vary across management strategies/grassland categories • High variability of ES within grassland categories • Spatial variability implies that there is considerable room to improve ES provision • Spatial variability Is critical to direct the choice of agri-environmental measures [ABSTRACT FROM AUTHOR]

• Cattle breed has an overlooked impact on vegetation structure and composition. • Pastures of production-oriented breeds were more tolerant to grazing and trampling. • More plant species were present in vegetation grazed by robust Highland cattle. • Less-demanding Highland cattle reduce shrub cover and favour epizoochoric plants. • Low-production cattle breeds have the potential to sustain species-rich grasslands. Highland cattle are lighter, slower-growing and less demanding on forage than most production-oriented cattle breeds, which may affect vegetation composition. This study aimed at identifying the importance of breed-dependent impact on the composition of pasture vegetation in comparison to well-investigated factors such as site properties and grazing management. Vegetation was investigated in 50 paired pastures at 25 locations ranging from Swiss mountain areas to lowlands in southern Germany. Pastures in a pair had been grazed by either Highland cattle or a more production-oriented cattle breed for at least 5 years. Plant species composition was assessed on 150 subplots, three per pasture in areas representing different grazing intensities. Generalized linear mixed-effects models, (partial) constrained correspondence analysis and structural equation models were used for data analysis. Despite similar site conditions between the paired pastures at each location, plants on pastures of Highland cattle showed significantly lower indicator values for grazing and trampling tolerance. Both, grazing and trampling were strongly connected and had a common negative effect on plant species diversity. Moreover, Highland cattle had a direct positive influence on diversity, likely due to reduced woody plant species cover and a higher cover of epizoochoric species. This resulted in significantly higher plant species richness (alpha and gamma) on pastures of Highland cattle than those of production-oriented breeds. The observed differences in plant species richness between pastures of different grazing breeds increased with duration of adaptation, i.e. the time a pasture was grazed by a certain breed. The study demonstrates a clear impact of cattle breed on vegetation, which is consistent with the phenotypical differences of the animals. Largely overlooked, cattle breed may explain some of the frequently contrasting responses of vegetation to grazing. The findings have important implications for management decisions and breeding endeavours which go beyond mere productivity objectives. They highlight the potential of low-production Highland cattle to sustain and promote ecosystem services on species-rich, semi-natural grasslands. [ABSTRACT FROM AUTHOR]