Field In Germany Research Articles

Landscape and scale-dependent spatial niches of bats foraging above intensively used arable fields

IntroductionBats are threatened by agricultural intensification, and although bat ecology in agricultural landscapes is in the focus of current research, the effects of interacting spatiotemporal factors on species-specific bat activity above farmland remain understudied. Our aim was to identify spatiotemporal factors and their interactions relevant for the activity of bat species above conventionally managed arable fields.MethodsWe repeatedly monitored relative bat activity above open arable fields in Germany using acoustic monitoring. We used site-related biotic and abiotic factors and landscape characteristics across five spatial scales, their combinations, and interactions to identify those factors which best explain variation in bat activity.ResultsNumerous interactions between landscape characteristics and the insect abundance affected bat activity above fields. For instance, Pipistrellus pipistrellus became more active with increasing insect abundance, but only above fields with a low proportion of woody vegetation cover in the surroundings. Additionally, the level of bat activity in summer depended on landscape characteristics. For example, the activity of Pipistrellus nathusii was relatively low in summer above fields that were surrounded by vegetation patches with a high degree of edge complexity (e.g., hedgerow). However, the activity remained at a relatively high level and did not differ between seasons above fields that were surrounded by vegetation patches with a low degree of edge complexity (e.g., roundly shaped forest patch).ConclusionsOur results revealed that landscape characteristics and their interactions with insect abundance affected bat activity above conventionally managed fields and highlighted the opportunistic foraging behavior of bats. To improve the conditions for bats in agricultural landscapes, we recommend re-establishing landscape heterogeneity to protect aquatic habitats and to increase arthropod availability.

Botrytis fragariae, a New Species Causing Gray Mold on Strawberries, Shows High Frequencies of Specific and Efflux-Based Fungicide Resistance.

Botrytis cinerea causes pre- and postharvest decay of many fruit and vegetable crops. A survey of German strawberry fields revealed Botrytis strains that differed from B. cinerea in diagnostic PCR markers and growth appearance. Phylogenetic analyses showed that these strains belong to an undescribed species in Botrytis clade 2, named Botrytisfragariae sp. nov. Isolates of Bfragariae were detected in strawberry fields throughout Germany, sometimes at frequencies similar to those of B. cinerea, and in the southeastern United States. Bfragariae was isolated from overwintering strawberry tissue but not from freshly infected fruit. Bfragariae invaded strawberry tissues with an efficiency similar to or lower than that of B. cinerea but showed poor colonization of inoculated nonhost plant tissues. These data and the exclusive occurrence of this fungus on strawberry plants indicate that Bfragariae is host specific and has a tissue preference different from that of B. cinerea Various fungicide resistance patterns were observed in Bfragariae populations. Many Bfragariae strains showed resistance to one or several chemical classes of fungicides and an efflux-based multidrug resistance (MDR1) phenotype previously described in B. cinerea Resistance-related mutations in Bfragariae were identical or similar to those of B. cinerea for carbendazim (E198A mutation in tubA), azoxystrobin (G143A in cytB), iprodione (G367A+V368F in bos1), and MDR1 (gain-of-function mutations in the transcription factor mrr1 gene and overexpression of the drug efflux transporter gene atrB). The widespread occurrence of Bfragariae indicates that this species is adapted to fungicide-treated strawberry fields and may be of local importance as a gray mold pathogen alongside B. cinereaIMPORTANCE Gray mold is the most important fruit rot on strawberries worldwide and requires fungicide treatments for control. For a long time, it was believed to be caused only by Botrytis cinerea, a ubiquitous pathogen with a broad host range that quickly develops fungicide resistance. We report the discovery and description of a new species, named Botrytisfragariae, that is widely distributed in commercial strawberry fields in Germany and the southeastern United States. It was observed on overwintering tissue but not on freshly infected fruit and seems host specific on the basis of its occurrence and artificial infection tests. Bfragariae has also developed resistance to several fungicides that is caused by mutations similar to those known in B. cinerea, including an efflux-based multidrug resistance. Our data indicate that Bfragariae could be of practical importance as a strawberry pathogen in some regions where its abundance is similar to that of B. cinerea.

What Does the Media Mean by ‘Sustainability’ or ‘Sustainable Development’? an Empirical Analysis of Sustainability Terminology in German Newspapers Over Two Decades

AbstractThere is broad agreement that the regulative idea of sustainability needs to be specified in public deliberation so that it can contribute to sustainable development policies and practices. The media plays a critical role in this endeavor. However, journalists commonly criticize the terminology of ‘sustainability’ and ‘sustainable development’ as blurred, fuzzy and ambiguous. The vibrant controversy over how journalists should engage with the sustainability terminology is however facing an apparent lack of research on how sustainability terminology actually has been embraced and used in the media.This study aims to close the aforementioned research gaps in providing a twofold account of the field in Germany. First, in a trend analysis, it sketches the usage of sustainability terminology in six major German newspapers from 1995 to 2015. Second, in an in‐depth analysis for the three years 2001, 2007 and 2013, more than 16 000 usages of sustainability terminology have been coded according to their underpinning meaning. The findings show that sustainability terminology in major German newspapers is used in about twice as many articles in 2015 compared with 1995. What changes is not only the frequency, but also the meanings, with which sustainability terminology is used. There is an apparent tendency towards a ‘semantic consolidation’ of sustainability terminology in the post‐2000 years. The meaning thereby moves away from a non‐specific and replaceable fashion word towards a more sophisticated and elaborated reflection of the concept of sustainable development. Data analysis finds that political alignment of the newspaper plays a critical role in this. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment

Proximal gamma-ray spectrometry for site-independent in situ prediction of soil texture on ten heterogeneous fields in Germany using support vector machines

Gamma spectrometric field measurements may provide high resolution information on topsoil texture. Yet, calibrations for the estimation of texture data usually have to be done site-specifically. The lack of site-independent calibrations thus limits the easy and universal use of proximal gamma-ray sensing in soil mapping and precision agriculture. Our objective was to develop a study site-independent prediction model for topsoil texture from gamma-ray spectra. We surveyed ten study sites across Germany with 417 reference samples (291 for calibration, 126 for test set-validation), providing soils from a broad range of parent materials and with widely varying soil texture. First, study site-specific models were calibrated by a linear regression approach. These models provided reliable estimations of sand, silt, and clay for most of the study sites. Second, study site-independent models were calibrated via i) linear regression and ii) support vector machines (SVM), the latter being mathematical methods of data pattern recognition. Based on the non-linear relationship between gamma spectrum and soil texture, which varied widely between the different parent materials the linear models are not appropriate for satisfactory soil texture prediction (averaged R2 of 0.73 for sand, 0.61 for silt, and 0.18 for clay and averaged absolute prediction errors of 9 to 5%, respectively). In contrast, the SVM calibrated prediction models revealed reliable performance also for site-independent calibrations. With the non-linear SVM approach we were able to include all sites in one single prediction model for each texture fraction although the different mineralogical composition of their parent materials led to complex and partly opposing relationships between gamma features and soil texture. Site-independent predictions via SVM were often even better than site-specific linear regression models. The site-independent SVM calibrated predictions yielded an averaged R2 of 0.96 (sand), 0.93 (silt), and 0.78 (clay), and corresponding averaged absolute prediction errors of 2 to 4%, respectively. To summarize, (i) non-linear prediction models are a feasible approach for capable site-independent texture estimations across a wide range of soils and (ii) gamma spectrometry-based texture predictions are a valuable input for applications that require highly resolved texture information at low costs and efforts.

GIS-Based Spatial Nitrogen Management Model for Maize

Crop growth models including CERES-Maize and CROPGRO-Soybean have been used in the past to evaluate causes of spatial yield variability and to evaluate economic consequences of variable rate prescriptions. However, these modelling techniques have not been widely used because of an absence of user-friendly software. In this work, a nitrogen prescription model to simulate the consequences of different nitrogen prescriptions using the DSSAT crop growth models is developed. The objective is to describe a site-specific nitrogen prescription and economic optimizer program developed for computing optimum spatial nitrogen rates for maize using the CERES-Maize model. The application of the model is demonstrated on two different fields in Germany and the US. The program simulated optimum N applications that averaged 42% (McGarvey field, US) and 39% (Riech field, Germany) lower than the uniform rates actually applied in the fields. The software is written in Python and will ultimately be distributed in the public domain as a plug-in to the QGIS software.

Antecedents of Overtime Work: The Case of Junior Academics

Despite the ongoing public debate about precarious working conditions in academia, there is only little evidence on working hours and overtime work for the group of (non-tenured) junior academics. By using unique longitudinal survey data on the occupational situation and careers of doctoral students and doctorate holders in STEM fields in Germany, we explore potential antecedents of overtime. We find that overtime hours are less pronounced among firm employees holding a doctorate and among postdocs than they are among doctoral students. This result holds in the cross-section and also when examining status changes (from doctoral student to postdoc or to firm employee holding a doctorate) in difference-in-differences estimations. In contrast to firm employees, overtime hours are considerably positively associated with part-time contracts for doctoral students. Furthermore, our results reveal that individuals' career orientation is positively associated with extra hours. In contrast, individuals with family responsibilities and a stronger preference for leisure time spend significantly fewer hours at work.

Digitalisierung und Wohnen: das vernetzte Zuhause und individualisierte Technologien als Option für das Wohnen im Alter

Abstract Terms like industry 4.0 or digital health and smart homes dominate mass media as well as many scientific fields in Germany. The digital transformation captures almost any field of life and work. The article focuses on housing and health, especially independent living in old age with the aid of assistive technologies. After overviewing the general ambivalences of digitalisation, the article discusses options and implementation projects as well as future chances of governance in this field.

How to construct an organizational field: Empirical educational research in Germany, 1995–2015

Over the past two decades, educational research in Germany has undergone unprecedented changes. Following large-scale assessments such as the Trends in International Mathematics and Science Study (TIMSS) and the Programme for International Student Assessment (PISA), and a political interest in evidence-based policy-making, quality assessment and internationalization, direct involvement of national decision-makers has led to the establishment of new organizations, programs, funding structures, professorships, and training programs. Thus, a markedly different educational research field has emerged in contrast to the traditional philosophy-rooted, hermeneutics-trained and humanities-based German pedagogy or educational science. Instead, the new paradigm refers to itself as empirical educational research (EER). Thus, we trace institutionalization processes of EER from 1995 through the foundation of the new Empirical Educational Research Association (GEBF), which rivals the long-standing German Educational Research Association (DGfE). Official documents shed light on policymakers’ and funding agencies’ motivations and rationales as they successfully engage in building new research infrastructure. Expert interviews conducted with (inter)national representatives illuminate perceptions of crucial actors involved in the organizational field’s institutionalization. What are the causes and consequences of the emergent EER field in Germany? Extending the neoinstitutionalist organizational field literature, particularly about incipient stages of such fields, we show that a new division of labor transcends national and international as well as governmental and non-governmental borders.

Hoverflies (Diptera: Syrphidae) benefit from a cultivation of the bioenergy crop Silphium perfoliatumL. (Asteraceae) depending on larval feeding type, landscape composition and crop management

Abstract An increasing production of annual bioenergy crops such as maize has led to regional land‐use changes, causing further shortages of already scarce floral resources for pollinators. Diversification of energy crop production with flowering crops is discussed as a mitigation strategy. The perennial Silphium perfoliatum, characterized by a flowering period between July and September, represents a promising candidate crop. The present study aimed to investigate the management and landscape conditions under which a cultivation of S. perfoliatum could be an effective measure for pollinator conservation. In this context, hoverflies served as suitable indicators as a result of the different feeding behaviours of adults (floral resources) and larvae (mostly zoophagous or microphagous). We compared abundance and species richness of adult hoverflies in 15 flowering S. perfoliatum fields in Germany with that in neighbouring habitats (maize fields, ditches/brooks and forest edges) and tested whether the landscape composition influenced local abundance and species richness in S. perfoliatum fields depending on larval feeding type. Only microphagous hoverflies were more abundant in S. perfoliatum fields than in neighbouring habitats, primarily in mid‐September. This might be explained by the different activity periods and adaptations to flower traits of the two hoverfly groups. Although the abundance of zoophagous hoverflies was positively influenced by a higher crop diversity, the abundance and species richness of microphagous hoverflies responded positively to higher proportions of semi‐natural habitats in the surroundings. Silphium perfoliatum can support certain hoverfly groups when it is harvested late to ensure a flower supply through to September and when semi‐natural habitats are maintained in agricultural landscapes.

Didaktik von Lerninhalten in der deutschen Tradition

Subject-related approaches have played an important role in the development of the didactics of mathematics as a professional field in Germany. In the 1980s, views of the nature of learning as well as of the objects and methods of research in mathematics education changed and the perspective was widened and opened toward new directions: Mathematics teaching was also considered a social reality and the process of teaching and learning was analyzed not only by psychological means but also under sociological, epistemological, and historical perspectives. This shift of view issued new challenges to subject-related considerations that were enhanced by the recent discussion about professional mathematical knowledge for teaching. The article offers a perspective on these early developments.

Sowing Density: A Neglected Factor Fundamentally Affecting Root Distribution and Biomass Allocation of Field Grown Spring Barley (Hordeum Vulgare L.).

Studies on the function of root traits and the genetic variation in these traits are often conducted under controlled conditions using individual potted plants. Little is known about root growth under field conditions and how root traits are affected by agronomic practices in particular sowing density. We hypothesized that with increasing sowing density, root length density (root length per soil volume, cm cm−3) increases in the topsoil as well as specific root length (root length per root dry weight, cm g−1) due to greater investment in fine roots. Therefore, we studied two spring barley cultivars at ten different sowing densities (24–340 seeds m−2) in 2 consecutive years in a clay loam field in Germany and established sowing density dose-response curves for several root and shoot traits. We took soil cores for measuring roots up to a depth of 60 cm in and between plant rows (inter-row distance 21 cm). Root length density increased with increasing sowing density and was greatest in the plant row in the topsoil (0–10 cm). Greater sowing density increased specific root length partly through greater production of fine roots in the topsoil. Rooting depth (D50) of the major root axes (root diameter class 0.4–1.0 mm) was not affected. Root mass fraction decreased, while stem mass fraction increased with sowing density and over time. Leaf mass fraction was constant over sowing density but greater leaf area was realized through increased specific leaf area. Considering fertilization, we assume that light competition caused plants to grow more shoot mass at the cost of investment into roots, which is partly compensated by increased specific root length and shallow rooting. Increased biomass per area with greater densities suggest that density increases the efficiency of the cropping system, however, declines in harvest index at densities over 230 plants m−2 suggest that this efficiency did not translate into greater yield. We conclude that plant density is a modifier of root architecture and that root traits and their utility in breeding for greater productivity have to be understood in the context of high sowing densities.

Machine learning based prediction of soil total nitrogen, organic carbon and moisture content by using VIS-NIR spectroscopy

It is widely known that the visible and near infrared (VIS-NIR) spectroscopy has the potential of estimating soil total nitrogen (TN), organic carbon (OC) and moisture content (MC) due to the direct spectral responses these properties have in the near infrared (NIR) region. However, improving the prediction accuracy requires advanced modelling techniques, particularly when measurement is planned for fresh (wet and un-processed) soil samples. The aim of this work is to compare the predictive performance of two linear multivariate and two machine learning methods for TN, OC and MC. The two multivariate methods investigated included principal component regression (PCR) and partial least squares regression (PLSR), whereas the machine learning methods included least squares support vector machines (LS-SVM), and Cubist. A mobile, fibre type, VIS-NIR spectrophotometer was utilised to collect soil spectra (305–2200 nm) in diffuse reflectance mode from 140 wet soil samples collected from one field in Germany. The results indicate that machine learning methods are capable of tackling non-linear problems in the dataset. LS-SVMs and the Cubist method out-performed the linear multivariate methods for the prediction of all three soil properties studied. LS-SVM provided the best prediction for MC (root mean square error of prediction (RMSEP) = 0.457% and residual prediction deviation (RPD) = 2.24) and OC (RMSEP = 0.062% and RPD = 2.20), whereas the Cubist method provided the best prediction for TN (RMSEP = 0.071 and RPD = 1.96).

Occurrence ofPolymyxa graminisRibotypes in Germany and Their Association with Different Host Plants and Viruses

The plasmodiophorid Polymyxa graminis transmits plant viruses to cereal crops such as wheat, rye, barley and triticale. Soil samples from different locations and cereal host plants were analyzed for the presence of P. graminis ribotypes I and II, and tested for the occurrence of soil-borne viruses. P. graminis sequences mainly from fields in Germany used for virus resistance trials, but also from a site each in Poland and Denmark were obtained and deposited in the European Nucleotide Archive. The interactions between the components of the pathogen complex – vector ribotype and virus – and the host are discussed.

Social Impact Investing in Germany: Current Impediments from Investors’ and Social Entrepreneurs’ Perspectives

The paper provides empirical evidence on impediments of the emerging social impact investment field in Germany. The study is based on 19 in-depth interviews with social impact investing funds, investment advisors, and social entrepreneurs as investees. It takes an explorative approach because of the nascent stage of research on the subject. By systematically relating the perspectives of the actors involved, the study gives a broad empirical picture on the major challenges for social impact investing in Germany. Results reveal nine critical problem areas we have arranged along three dimensions: financial returns, social returns, and relationships and infrastructure. They comprise investors’ and social entrepreneurs’ practices, institutional settings which are still heavily influenced by peculiarities of the German welfare systems, as well as undeveloped framework conditions in the social investment market. By interpreting the results through a lens of conflicting institutional logics, we further contribute to this research stream by showcasing social impact investing as a core area of friction between the logics of the market and civil society.

A Botrytis cinerea Population from a Single Strawberry Field in Germany has a Complex Fungicide Resistance Pattern.

Gray mold, caused by the fungus Botrytis cinerea, is one of the most important diseases of strawberry in Germany. The application of site-specific fungicides remains the main strategy to reduce disease incidence and severity in the field. Isolates (n = 199) were collected from fungicide-treated strawberry fruit at a German research site with a long history of fungicide efficacy trials against gray mold. Sensitivities to the six site-specific botryticides registered in Germany were determined using microtiter assays. Values for the concentration of a fungicide at which fungal development is inhibited by 50% (EC50) ranged from 0.03 to ≥30 ppm for the succinate dehydrogenase inhibitor boscalid, 0.015 to ≥10 ppm for the hydroxyanilide fenhexamid, 0.009 to 0.739 ppm for the phenylpyrrole fludioxonil, 0.55 to 43.45 ppm for the dicarboximide iprodione, 0.021 to ≥3 ppm for the quinone outside inhibitor pyraclostrobin, and 0.106 to ≥30 ppm for the anilinopyrimidine pyrimethanil. Pyrosequencing revealed that amino acid substitutions in the target proteins Bos1 (I365S/N, V368F + Q369H), CytB (G143A), Erg27 (F412S), and SdhB (P225F, N230I, and H272R/Y) were associated with reduced sensitivity levels to the corresponding fungicide classes. In most cases, isolates with a decreased sensitivity to fludioxonil showed a reduced sensitivity to tolnaftate. This reduction is considered to be an indication of multidrug efflux pump activity. The amino acid change I365S, I365N, or V368F + Q369H in Bos1 and H272R in SdhB by itself showed EC50 values of 3.99 to 14.73 ppm, 3.87 to 5.37 ppm, 4.81 to 15.63 ppm, and 2.071 to ≥30 ppm, respectively. When isolates that contained one of these mutations were also multidrug resistant, the ranges of EC50 values shifted to 6.47 to 43.45 ppm for I365S, 7.28 to 29.84 ppm for I365N, 6.89 to 26.67 ppm for V368F + Q369H, and ≥30 ppm for H272R. The reported data suggest that the combination of multidrug resistance and an amino acid change in the target site may result in a lower sensitivity to the fungicides than one resistance mechanism by itself. Although 20% of the population analyzed was sensitive to all six different chemical classes, the majority showed reduced sensitivity to one (6%), two (13%), three (23%), four (17%), five (11%), and six (11%) different fungicides.

Relationship of organizational culture, teamwork and job satisfaction in interprofessional teams.

BackgroundTeam effectiveness is often explained on the basis of input-process-output (IPO) models. According to these models a relationship between organizational culture (input = I), interprofessional teamwork (process = P) and job satisfaction (output = O) is postulated. The aim of this study was to examine the relationship between these three aspects using structural analysis.MethodsA multi-center cross-sectional study with a survey of 272 employees was conducted in fifteen rehabilitation clinics with different indication fields in Germany. Structural equation modeling (SEM) was carried out using AMOS software version 20.0 (maximum-likelihood method).ResultsOf 661 questionnaires sent out to members of the health care teams in the medical rehabilitation clinics, 275 were returned (41.6 %). Three questionnaires were excluded (missing data greater than 30 %), yielding a total of 272 employees that could be analyzed. The confirmatory models were supported by the data. The results showed that 35 % of job satisfaction is predicted by a structural equation model that includes both organizational culture and teamwork. The comparison of this predictive IPO model (organizational culture (I), interprofessional teamwork (P), job satisfaction (O)) and the predictive IO model (organizational culture (I), job satisfaction (O)) showed that the effect of organizational culture is completely mediated by interprofessional teamwork. The global fit indices are a little better for the IO model (TLI: .967, CFI: .972, RMSEA .052) than for the IPO model (TLI: .934, CFI: .943, RMSEA: .61), but the prediction of job satisfaction is better in the IPO model (R2 = 35 %) than in the IO model (R2 = 24 %).ConclusionsOur study results underpin the importance of interprofessional teamwork in health care organizations. To enhance interprofessional teamwork, team interventions can be recommended and should be supported. Further studies investigating the organizational culture and its impact on interprofessional teamwork and team effectiveness in health care are important.Electronic supplementary materialThe online version of this article (doi:10.1186/s12913-015-0888-y) contains supplementary material, which is available to authorized users.

Developing cross-sectoral quality assurance for cataract surgery in the statutory quality assurance program of the German health care system: Experiences and lessons learned

Since 2001, statutory external quality assurance (QA) for hospital care has been in place in the German health system. In 2009, the decision was taken to expand it to cross-sectoral procedures. This novel and unprecedented form of national QA aims at (1) making the quality procedures comparable that are provided both in inpatient and outpatient care, (2) following-up outcomes of hospital care after patients’ discharge and (3) measuring the quality of complex treatment chains across interfaces. As a pioneer procedure a QA procedure in cataract surgery QA was developed. Using this as an example, challenges of cross-sectoral QA are highlighted. These challenges relate, in particular, to three technical problems: triggering cases for documentation, following-up patients’ after hospital discharge, and the burden of documentation in outpatient care. These problems resulted finally in the haltering of the development of the QA procedure. However, the experiences gained with this first development of cross-sectoral QA inspired the reorientation and further development of the field in Germany. Future cross-sectoral QA will rigorously aim at keeping burden of documentation small. It will draw data for QA mainly at three sources: routine data, patient surveys and peer reviews using indicators. Policy implications of this reorientation are discussed.

Detecting long‐term losses at the plant community level – arable fields in Germany revisited

AbstractQuestionThe intensification of crop cultivation in much of Europe since the mid‐20th century has greatly increased crop yields but caused dramatic biodiversity losses in arable fields. We investigated the extent of these losses at the level of plant community types.LocationTen areas in central Germany with different soil/climate conditions and various arable plant communities.MethodsWe compiled historical surveys of arable fields in the 1950s/early 1960s before the onset of pervasive agricultural industrialization, and in 2009 revisited 392 arable fields. Historical and recent data were compared with supervised manual classification, detrended correspondence analysis (DCA) andANOVA.ResultsTen out of 16 plant communities at association rank observed in fields in the 1950s/1960s were not recorded again. The proportion of relevés assignable at association level decreased from 75% to 5%, while the proportion of relevés assignable only at higher syntaxon level or not assignable at all had increased from 2% to 75%. The impoverishment of vegetation was slightly less pronounced at field margins, where around one quarter of the recent relevés could be assigned to associations. Present arable plant communities in the region are species‐poor and consist chiefly of common, often herbicide‐tolerant, generalist species, with no clear preference for cereal vs root crops, autumn‐ vs spring‐sown crops or base‐rich vs base‐poor soils.ConclusionOur new approach using phytosociological syntaxa and a semi‐permanent plot design enabled us to quantify biodiversity losses at the community type level. The currently used set of phytosociological associations is inadequate to represent present‐day arable plant assemblages. The concept of residual plant communities provides a useful methodological supplement.

In Memoriam: Wolfgang Straßer (1941-2015)

Wolfgang Straßer was one of the computer graphics pioneers who shaped the field in Germany and beyond. An important theme in his work was the development of novel algorithmic solutions, taking into account the capabilities and perspectives of modern graphics hardware. With the passing Wolfgang Straßer, the computer graphics community loses one of its early pioneers, a remarkable scientist, a great mentor, and a precious friend.

Application of partial order ranking to identify enhancement potentials for the provision of selected ecosystem services by different land use strategies

Conventional agricultural practices have often been associated with negative externalities, such as land degradation, pollution of soil and water resources, loss of biodiversity, and decreased provision of ecosystem services (ES). In response to these negative effects, the number of indicator-based attempts to assess ES provided by land use systems has increased. However, decisions regarding the importance of the different ES are usually made subjectively. Following an objective approach through the use of a partial order ranking method, this study aimed to assess several non-provisioning ES supplied by alley cropping system (ACS) in comparison with conventional agriculture (CA). The main objective of the study was to verify the applicability of partial order ranking to an ecologically-based assessment, focusing on soil, water, and biodiversity indicators. Results from 40 hypothetical scenarios representing various site conditions of agricultural fields in Germany were calculated using the Ecosystem Services Assessment Tool for Agroforestry (ESAT-A), a toolbox designed to assess selected ES of ACS following an empirical approach. The results were ranked using partial order and were visualized by a Hasse diagram. The findings depict partial order ranking as a promising technique to support decision making in order to find priority scenarios and indicators where the provision of ES can be enhanced by establishing ACS. The minimal scenarios under CA identified with simultaneously low values of all indicators were perceived as target scenarios for establishing ACS. The values of the indicators for the current land use system need to be taken into account in order to avoid scenarios where high tradeoff was suggested. Additionally, this approach can be extended and utilized at the field level to aid farmer decisions on which land use strategy is the most suitable alternative to increase the provision of ES.