TY - JOUR A1 - Kumar, Rohini A1 - Hesse, Fabienne A1 - Rao, P. Srinivasa A1 - Musolff, Andreas A1 - Jawitz, James A1 - Sarrazin, Francois A1 - Samaniego, Luis A1 - Fleckenstein, Jan H. A1 - Rakovec, Oldrich A1 - Thober, S. A1 - Attinger, Sabine T1 - Strong hydroclimatic controls on vulnerability to subsurface nitrate contamination across Europe JF - Nature Communications N2 - Subsurface contamination due to excessive nutrient surpluses is a persistent and widespread problem in agricultural areas across Europe. The vulnerability of a particular location to pollution from reactive solutes, such as nitrate, is determined by the interplay between hydrologic transport and biogeochemical transformations. Current studies on the controls of subsurface vulnerability do not consider the transient behaviour of transport dynamics in the root zone. Here, using state-of-the-art hydrologic simulations driven by observed hydroclimatic forcing, we demonstrate the strong spatiotemporal heterogeneity of hydrologic transport dynamics and reveal that these dynamics are primarily controlled by the hydroclimatic gradient of the aridity index across Europe. Contrasting the space-time dynamics of transport times with reactive timescales of denitrification in soil indicate that similar to 75% of the cultivated areas across Europe are potentially vulnerable to nitrate leaching for at least onethird of the year. We find that neglecting the transient nature of transport and reaction timescale results in a great underestimation of the extent of vulnerable regions by almost 50%. Therefore, future vulnerability and risk assessment studies must account for the transient behaviour of transport and biogeochemical transformation processes. KW - travel time distributions KW - groundwater vulnerability KW - flux tracking KW - transit-time KW - water age KW - nitrogen KW - model KW - dynamics KW - pollution KW - patterns Y1 - 2020 U6 - https://doi.org/10.1038/s41467-020-19955-8 SN - 2041-1723 VL - 11 IS - 1 SP - 1 EP - 10 PB - Nature Publishing Group UK CY - London ER - TY - JOUR A1 - Milles, Alexander Benedikt A1 - Dammhahn, Melanie A1 - Jeltsch, Florian A1 - Schlägel, Ulrike A1 - Grimm, Volker T1 - Fluctuations in density-dependent selection drive the evolution of a pace-of-life syndrome within and between populations JF - The American naturalist : a bi-monthly journal devoted to the advancement and correlation of the biological sciences N2 - The pace-of-life syndrome (POLS) hypothesis posits that suites of traits are correlated along a slow-fast continuum owing to life history trade-offs. Despite widespread adoption, environmental conditions driving the emergence of POLS remain unclear. A recently proposed conceptual framework of POLS suggests that a slow-fast continuum should align to fluctuations in density-dependent selection. We tested three key predictions made by this framework with an ecoevolutionary agent-based population model. Selection acted on responsiveness (behavioral trait) to interpatch resource differences and the reproductive investment threshold (life history trait). Across environments with density fluctuations of different magnitudes, we observed the emergence of a common axis of trait covariation between and within populations (i.e., the evolution of a POLS). Slow-type (fast-type) populations with high (low) responsiveness and low (high) reproductive investment threshold were selected at high (low) population densities and less (more) intense and frequent density fluctuations. In support of the predictions, fast-type populations contained a higher degree of variation in traits and were associated with higher intrinsic reproductive rate (r(0)) and higher sensitivity to intraspecific competition (gamma), pointing to a universal trade-off. While our findings support that POLS aligns with density-dependent selection, we discuss possible mechanisms that may lead to alternative evolutionary pathways. KW - pace-of-life syndrome KW - density dependence KW - life history KW - trait KW - variation KW - model KW - personality Y1 - 2022 U6 - https://doi.org/10.1086/718473 SN - 0003-0147 SN - 1537-5323 VL - 199 IS - 4 SP - E124 EP - E139 PB - Univ. of Chicago Press CY - Chicago ER - TY - JOUR A1 - Botero, David A1 - Monk, Jonathan A1 - Rodriguez Cubillos, Maria Juliana A1 - Rodriguez Cubillos, Andres Eduardo A1 - Restrepo, Mariana A1 - Bernal-Galeano, Vivian A1 - Reyes, Alejandro A1 - Gonzalez Barrios, Andres A1 - Palsson, Bernhard O. A1 - Restrepo, Silvia A1 - Bernal, Adriana T1 - Genome-scale metabolic model of Xanthomonas phaseoli pv. manihotis BT - an approach to elucidate pathogenicity at the metabolic level JF - Frontiers in genetics N2 - Xanthomonas phaseoli pv. manihotis (Xpm) is the causal agent of cassava bacterial blight, the most important bacterial disease in this crop. There is a paucity of knowledge about the metabolism of Xanthomonas and its relevance in the pathogenic process, with the exception of the elucidation of the xanthan biosynthesis route. Here we report the reconstruction of the genome-scale model of Xpm metabolism and the insights it provides into plant-pathogen interactions. The model, iXpm1556, displayed 1,556 reactions, 1,527 compounds, and 890 genes. Metabolic maps of central amino acid and carbohydrate metabolism, as well as xanthan biosynthesis of Xpm, were reconstructed using Escher (https://escher.github.io/) to guide the curation process and for further analyses. The model was constrained using the RNA-seq data of a mutant of Xpm for quorum sensing (QS), and these data were used to construct context-specific models (CSMs) of the metabolism of the two strains (wild type and QS mutant). The CSMs and flux balance analysis were used to get insights into pathogenicity, xanthan biosynthesis, and QS mechanisms. Between the CSMs, 653 reactions were shared; unique reactions belong to purine, pyrimidine, and amino acid metabolism. Alternative objective functions were used to demonstrate a trade-off between xanthan biosynthesis and growth and the re-allocation of resources in the process of biosynthesis. Important features altered by QS included carbohydrate metabolism, NAD(P)(+) balance, and fatty acid elongation. In this work, we modeled the xanthan biosynthesis and the QS process and their impact on the metabolism of the bacterium. This model will be useful for researchers studying host-pathogen interactions and will provide insights into the mechanisms of infection used by this and other Xanthomonas species. KW - Xanthomonas KW - Xpm KW - cassava bacterial blight KW - genome-scale metabolic KW - model KW - quorum sensing Y1 - 2020 U6 - https://doi.org/10.3389/fgene.2020.00837 SN - 1664-8021 VL - 11 PB - Frontiers Media CY - Lausanne ER - TY - JOUR A1 - Böhnke, Denise A1 - Krehl, Alice A1 - Moermann, Kai A1 - Volk, Rebekka A1 - Lützkendorf, Thomas A1 - Naber, Elias A1 - Becker, Ronja A1 - Norra, Stefan T1 - Mapping urban green and its ecosystem services at microscale-a methodological approach for climate adaptation and biodiversity JF - Sustainability / Multidisciplinary Digital Publishing Institute (MDPI) N2 - The current awareness of the high importance of urban green leads to a stronger need for tools to comprehensively represent urban green and its benefits. A common scientific approach is the development of urban ecosystem services (UES) based on remote sensing methods at the city or district level. Urban planning, however, requires fine-grained data that match local management practices. Hence, this study linked local biotope and tree mapping methods to the concept of ecosystem services. The methodology was tested in an inner-city district in SW Germany, comparing publicly accessible areas and non-accessible courtyards. The results provide area-specific [m(2)] information on the green inventory at the microscale, whereas derived stock and UES indicators form the basis for comparative analyses regarding climate adaptation and biodiversity. In the case study, there are ten times more micro-scale green spaces in private courtyards than in the public space, as well as twice as many trees. The approach transfers a scientific concept into municipal planning practice, enables the quantitative assessment of urban green at the microscale and illustrates the importance for green stock data in private areas to enhance decision support in urban development. Different aspects concerning data collection and data availability are critically discussed. KW - climate adaptation KW - urban green KW - mapping KW - ecosystem service cascade KW - model KW - surface type-function-concept KW - planning indicators KW - city district KW - level KW - urban planning practice KW - climate change Y1 - 2022 U6 - https://doi.org/10.3390/su14159029 SN - 2071-1050 VL - 14 IS - 15 PB - MDPI CY - Basel ER - TY - JOUR A1 - Schad, Daniel A1 - Betancourt, Michael A1 - Vasishth, Shravan T1 - Toward a principled Bayesian workflow in cognitive science JF - Psychological methods N2 - Experiments in research on memory, language, and in other areas of cognitive science are increasingly being analyzed using Bayesian methods. This has been facilitated by the development of probabilistic programming languages such as Stan, and easily accessible front-end packages such as brms. The utility of Bayesian methods, however, ultimately depends on the relevance of the Bayesian model, in particular whether or not it accurately captures the structure of the data and the data analyst's domain expertise. Even with powerful software, the analyst is responsible for verifying the utility of their model. To demonstrate this point, we introduce a principled Bayesian workflow (Betancourt, 2018) to cognitive science. Using a concrete working example, we describe basic questions one should ask about the model: prior predictive checks, computational faithfulness, model sensitivity, and posterior predictive checks. The running example for demonstrating the workflow is data on reading times with a linguistic manipulation of object versus subject relative clause sentences. This principled Bayesian workflow also demonstrates how to use domain knowledge to inform prior distributions. It provides guidelines and checks for valid data analysis, avoiding overfitting complex models to noise, and capturing relevant data structure in a probabilistic model. Given the increasing use of Bayesian methods, we aim to discuss how these methods can be properly employed to obtain robust answers to scientific questions. KW - workflow KW - prior predictive checks KW - posterior predictive checks KW - model KW - building KW - Bayesian data analysis Y1 - 2021 U6 - https://doi.org/10.1037/met0000275 SN - 1082-989X SN - 1939-1463 VL - 26 IS - 1 SP - 103 EP - 126 PB - American Psychological Association CY - Washington ER - TY - JOUR A1 - Smirnov, Artem A1 - Shprits, Yuri Y. A1 - Allison, Hayley A1 - Aseev, Nikita A1 - Drozdov, Alexander A1 - Kollmann, Peter A1 - Wang, Dedong A1 - Saikin, Anthony T1 - An empirical model of the equatorial electron pitch angle distributions in earth's outer radiation belt JF - Space Weather: the International Journal of Research and Applications N2 - In this study, we present an empirical model of the equatorial electron pitch angle distributions (PADs) in the outer radiation belt based on the full data set collected by the Magnetic Electron Ion Spectrometer (MagEIS) instrument onboard the Van Allen Probes in 2012-2019. The PADs are fitted with a combination of the first, third and fifth sine harmonics. The resulting equation resolves all PAD types found in the outer radiation belt (pancake, flat-top, butterfly and cap PADs) and can be analytically integrated to derive omnidirectional flux. We introduce a two-step modeling procedure that for the first time ensures a continuous dependence on L, magnetic local time and activity, parametrized by the solar wind dynamic pressure. We propose two methods to reconstruct equatorial electron flux using the model. The first approach requires two uni-directional flux observations and is applicable to low-PA data. The second method can be used to reconstruct the full equatorial PADs from a single uni- or omnidirectional measurement at off-equatorial latitudes. The model can be used for converting the long-term data sets of electron fluxes to phase space density in terms of adiabatic invariants, for physics-based modeling in the form of boundary conditions, and for data assimilation purposes. KW - pitch angle KW - radiation belt KW - model KW - magnetosphere KW - van allen probes; KW - electrons Y1 - 2022 U6 - https://doi.org/10.1029/2022SW003053 SN - 1542-7390 VL - 20 IS - 9 PB - American Geophysical Union CY - Washington, DC ER - TY - JOUR A1 - Vogt-Vincent, Noam A1 - Lippold, Jörg A1 - Kaboth-Bahr, Stefanie A1 - Blaser, Patrick T1 - Ice-rafted debris as a source of non-conservative behaviour for the epsilon Nd palaeotracer BT - insights from a simple model JF - Geo-marine letters : an international journal of marine geology N2 - Neodymium isotopic composition (epsilon Nd) has enjoyed widespread use as a palaeotracer, principally because it behaves quasi-conservatively in the modern ocean. However, recent bottom water epsilon Nd reconstructions from the eastern North Atlantic are difficult to interpret under assumptions of conservative behaviour. The observation that this apparent departure from conservative behaviour increases with enhanced ice-rafted debris (IRD) fluxes has resulted in the suggestion that IRD leads to the overprinting of bottom water epsilon Nd through reversible scavenging. In this study, a simple water column model successfully reproduces epsilon Nd reconstructions from the eastern North Atlantic at the Last Glacial Maximum and Heinrich Stadial 1, and demonstrates that the changes in scavenging intensity required for good model-data fit is in good agreement with changes in the observed IRD flux. Although uncertainties in model parameters preclude a more definitive conclusion, the results indicate that the suggestion of IRD as a source of non-conservative behaviour in the epsilon Nd tracer is reasonable and that further research into the fundamental chemistry underlying the marine neodymium cycle is necessary to increase confidence in assumptions of conservative epsilon Nd behaviour in the past. KW - Neodymium isotopes KW - epsilon Nd KW - ice-rafted debris KW - IRD KW - last glacial KW - maximum KW - LGM KW - Heinrich event KW - Palaeoceanography KW - Paleoceanography KW - model KW - reversible scavenging KW - conservative KW - ocean circulation KW - atlantic KW - meridional overturning circulation KW - geochemical cycling Y1 - 2020 U6 - https://doi.org/10.1007/s00367-020-00643-x SN - 0276-0460 SN - 1432-1157 VL - 40 IS - 3 SP - 325 EP - 340 PB - Springer CY - Berlin ER - TY - JOUR A1 - Munyaev, Vyacheslav O. A1 - Smirnov, Lev A. A1 - Kostin, Vasily A. A1 - Osipov, Grigory V. A1 - Pikovskij, Arkadij T1 - Analytical approach to synchronous states of globally coupled noisy rotators JF - New journal of physics : the open-access journal for physics N2 - We study populations of globally coupled noisy rotators (oscillators with inertia) allowing a nonequilibrium transition from a desynchronized state to a synchronous one (with the nonvanishing order parameter). The newly developed analytical approaches resulted in solutions describing the synchronous state with constant order parameter for weakly inertial rotators, including the case of zero inertia, when the model is reduced to the Kuramoto model of coupled noise oscillators. These approaches provide also analytical criteria distinguishing supercritical and subcritical transitions to the desynchronized state and indicate the universality of such transitions in rotator ensembles. All the obtained analytical results are confirmed by the numerical ones, both by direct simulations of the large ensembles and by solution of the associated Fokker-Planck equation. We also propose generalizations of the developed approaches for setups where different rotators parameters (natural frequencies, masses, noise intensities, strengths and phase shifts in coupling) are dispersed. KW - coupled rotators KW - synchronization transition KW - hysteresis KW - Kuramoto KW - model KW - noisy systems Y1 - 2020 U6 - https://doi.org/10.1088/1367-2630/ab6f93 SN - 1367-2630 VL - 22 IS - 2 PB - IOP Publ. Ltd. CY - Bristol ER - TY - JOUR A1 - Fürstenberg, Nils A1 - Alfes, Kerstin A1 - Kearney, Eric T1 - How and when paradoxical leadership benefits work engagement BT - the role of goal clarity and work autonomy JF - Journal of occupational and organizational psychology / British Psychological Society N2 - Paradoxical leadership behaviour (PLB) represents an emerging leadership construct that can help leaders deal with conflicting demands. In this paper, we report three studies that add to this nascent literature theoretically, methodologically, and empirically. In Study 1, we validate an effective short-form measure of global PLB using three different samples. In Studies 2 and 3, we draw on the job demands-resources model to propose that paradoxical leaders promote followers' work engagement by simultaneously fostering follower goal clarity and work autonomy. The results of survey data from Studies 2 and 3 largely confirm our model. Specifically, our findings show that PLB is positively associated with follower goal clarity and work autonomy, and that PLB exerts an indirect effect on work engagement via these variables. Moreover, our results support a hypothesized interaction effect of goal clarity and work autonomy to predict followers' work engagement, as well as a conditional indirect effect of PLB on work engagement via the interactive effect. We discuss the practical implications for leaders and organizations. Practitioner points To effectively engage followers in their work, leaders should create work environments in which followers know exactly what to do (i.e., have high goal clarity), but at the same time can determine on their own how to do their work (i.e., have high work autonomy) To foster both goal clarity and work autonomy, leaders should combine communal (e.g., other-centred, flexibility-providing) and agentic aspects of leadership (e.g., maintaining decision control and enforcing performance standards). HR departments should design leadership trainings that help leaders to combine seemingly opposing, yet ultimately synergistic behaviours. KW - paradoxical leadership behaviour KW - paradox theory KW - job demands KW - resources KW - model KW - goal clarity KW - work autonomy KW - work engagement Y1 - 2021 U6 - https://doi.org/10.1111/joop.12344 SN - 0963-1798 SN - 2044-8325 VL - 94 IS - 3 SP - 672 EP - 705 PB - Wiley CY - Hoboken ER - TY - JOUR A1 - Levy, Jessica A1 - Mussack, Dominic A1 - Brunner, Martin A1 - Keller, Ulrich A1 - Cardoso-Leite, Pedro A1 - Fischbach, Antoine T1 - Contrasting classical and machine learning approaches in the estimation of value-added scores in large-scale educational data JF - Frontiers in psychology N2 - There is no consensus on which statistical model estimates school value-added (VA) most accurately. To date, the two most common statistical models used for the calculation of VA scores are two classical methods: linear regression and multilevel models. These models have the advantage of being relatively transparent and thus understandable for most researchers and practitioners. However, these statistical models are bound to certain assumptions (e.g., linearity) that might limit their prediction accuracy. Machine learning methods, which have yielded spectacular results in numerous fields, may be a valuable alternative to these classical models. Although big data is not new in general, it is relatively new in the realm of social sciences and education. New types of data require new data analytical approaches. Such techniques have already evolved in fields with a long tradition in crunching big data (e.g., gene technology). The objective of the present paper is to competently apply these "imported" techniques to education data, more precisely VA scores, and assess when and how they can extend or replace the classical psychometrics toolbox. The different models include linear and non-linear methods and extend classical models with the most commonly used machine learning methods (i.e., random forest, neural networks, support vector machines, and boosting). We used representative data of 3,026 students in 153 schools who took part in the standardized achievement tests of the Luxembourg School Monitoring Program in grades 1 and 3. Multilevel models outperformed classical linear and polynomial regressions, as well as different machine learning models. However, it could be observed that across all schools, school VA scores from different model types correlated highly. Yet, the percentage of disagreements as compared to multilevel models was not trivial and real-life implications for individual schools may still be dramatic depending on the model type used. Implications of these results and possible ethical concerns regarding the use of machine learning methods for decision-making in education are discussed. KW - value-added modeling KW - school effectiveness KW - machine learning KW - model KW - comparison KW - longitudinal data Y1 - 2020 U6 - https://doi.org/10.3389/fpsyg.2020.02190 SN - 1664-1078 VL - 11 PB - Frontiers Research Foundation CY - Lausanne ER -