TY - JOUR A1 - Mehner, Thomas A1 - Attermeyer, Katrin A1 - Brauns, Mario A1 - Brothers, Soren A1 - Hilt, Sabine A1 - Scharnweber, Inga Kristin A1 - Dorst, Renee Minavan A1 - Vanni, Michael J. A1 - Gaedke, Ursula T1 - Trophic transfer efficiency in lakes JF - Ecosystems N2 - Trophic transfer efficiency (TTE) is usually calculated as the ratio of production rates between two consecutive trophic levels. Although seemingly simple, TTE estimates from lakes are rare. In our review, we explore the processes and structures that must be understood for a proper lake TTE estimate. We briefly discuss measurements of production rates and trophic positions and mention how ecological efficiencies, nutrients (N, P) and other compounds (fatty acids) affect energy transfer between trophic levels and hence TTE. Furthermore, we elucidate how TTE estimates are linked with size-based approaches according to the Metabolic Theory of Ecology, and how food-web models can be applied to study TTE in lakes. Subsequently, we explore temporal and spatial heterogeneity of production and TTE in lakes, with a particular focus on the links between benthic and pelagic habitats and between the lake and the terrestrial environment. We provide an overview of TTE estimates from lakes found in the published literature. Finally, we present two alternative approaches to estimating TTE. First, TTE can be seen as a mechanistic quantity informing about the energy and matter flow between producer and consumer groups. This approach is informative with respect to food-web structure, but requires enormous amounts of data. The greatest uncertainty comes from the proper consideration of basal production to estimate TTE of omnivorous organisms. An alternative approach is estimating food-chain and food-web efficiencies, by comparing the heterotrophic production of single consumer levels or the total sum of all heterotrophic production including that of heterotrophic bacteria to the total sum of primary production. We close the review by pointing to a few research questions that would benefit from more frequent and standardized estimates of TTE in lakes. KW - stoichiometry KW - production rates KW - trophic position KW - fatty acids KW - land-water coupling KW - food-web models Y1 - 2022 U6 - https://doi.org/10.1007/s10021-022-00776-3 SN - 1432-9840 SN - 1435-0629 VL - 25 IS - 8 SP - 1628 EP - 1652 PB - Springer CY - New York ER - TY - JOUR A1 - Ilicic, Doris A1 - Woodhouse, Jason Nicholas A1 - Karsten, Ulf A1 - Zimmermann, Jonas A1 - Wichard, Thomas A1 - Quartino, Maria Liliana A1 - Campana, Gabriela Laura A1 - Livenets, Alexandra A1 - Van den Wyngaert, Silke A1 - Grossart, Hans-Peter T1 - Antarctic Glacial Meltwater Impacts the Diversity of Fungal Parasites Associated With Benthic Diatoms in Shallow Coastal Zones JF - Frontiers in microbiology N2 - Aquatic ecosystems are frequently overlooked as fungal habitats, although there is increasing evidence that their diversity and ecological importance are greater than previously considered. Aquatic fungi are critical and abundant components of nutrient cycling and food web dynamics, e.g., exerting top-down control on phytoplankton communities and forming symbioses with many marine microorganisms. However, their relevance for microphytobenthic communities is almost unexplored. In the light of global warming, polar regions face extreme changes in abiotic factors with a severe impact on biodiversity and ecosystem functioning. Therefore, this study aimed to describe, for the first time, fungal diversity in Antarctic benthic habitats along the salinity gradient and to determine the co-occurrence of fungal parasites with their algal hosts, which were dominated by benthic diatoms. Our results reveal that Ascomycota and Chytridiomycota are the most abundant fungal taxa in these habitats. We show that also in Antarctic waters, salinity has a major impact on shaping not just fungal but rather the whole eukaryotic community composition, with a diversity of aquatic fungi increasing as salinity decreases. Moreover, we determined correlations between putative fungal parasites and potential benthic diatom hosts, highlighting the need for further systematic analysis of fungal diversity along with studies on taxonomy and ecological roles of Chytridiomycota. KW - Antarctica KW - aquatic fungi KW - Chytridiomycota KW - phytoplankton host KW - salinity gradient KW - Illumina amplicon sequencing KW - Carlini Station Y1 - 2022 U6 - https://doi.org/10.3389/fmicb.2022.805694 SN - 1664-302X IS - 13 PB - Frontiers Media CY - Lausanne ER - TY - JOUR A1 - Numberger, Daniela A1 - Zoccarato, Luca A1 - Woodhouse, Jason Nicholas A1 - Ganzert, Lars A1 - Sauer, Sascha A1 - García Márquez, Jaime Ricardo A1 - Domisch, Sami A1 - Grossart, Hans-Peter A1 - Greenwood, Alex T1 - Urbanization promotes specific bacteria in freshwater microbiomes including potential pathogens JF - The science of the total environment : an international journal for scientific research into the environment and its relationship with man N2 - Freshwater ecosystems are characterized by complex and highly dynamic microbial communities that are strongly structured by their local environment and biota. Accelerating urbanization and growing city populations detrimentally alter freshwater environments. To determine differences in freshwater microbial communities associated with urban-ization, full-length 16S rRNA gene PacBio sequencing was performed in a case study from surface waters and sedi-ments from a wastewater treatment plant, urban and rural lakes in the Berlin-Brandenburg region, Northeast Germany. Water samples exhibited highly habitat specific bacterial communities with multiple genera showing clear urban signatures. We identified potentially harmful bacterial groups associated with environmental parameters specific to urban habitats such as Alistipes, Escherichia/Shigella, Rickettsia and Streptococcus. We demonstrate that urban-ization alters natural microbial communities in lakes and, via simultaneous warming and eutrophication and creates favourable conditions that promote specific bacterial genera including potential pathogens. Our findings are evidence to suggest an increased potential for long-term health risk in urbanized waterbodies, at a time of rapidly expanding global urbanization. The results highlight the urgency for undertaking mitigation measures such as targeted lake restoration projects and sustainable water management efforts. KW - Urbanization KW - Urban waters KW - Wastewater KW - Lakes KW - Microbial community KW - composition KW - Humanization KW - Full-length 16S rRNA PacBio sequencing Y1 - 2022 U6 - https://doi.org/10.1016/j.scitotenv.2022.157321 SN - 0048-9697 SN - 1879-1026 VL - 845 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Müller, Marik A1 - Nedielkov, Ruslan A1 - Arndt, Katja M. T1 - Strategies for Enzymatic Inactivation of the Veterinary Antibiotic Florfenicol JF - Antibiotics N2 - Large quantities of the antibiotic florfenicol are used in animal farming and aquaculture, contaminating the ecosystem with antibiotic residues and promoting antimicrobial resistance, ultimately leading to untreatable multidrug-resistant pathogens. Florfenicol-resistant bacteria often activate export mechanisms that result in resistance to various structurally unrelated antibiotics. We devised novel strategies for the enzymatic inactivation of florfenicol in different media, such as saltwater or milk. Using a combinatorial approach and selection, we optimized a hydrolase (EstDL136) for florfenicol cleavage. Reaction kinetics were followed by time-resolved NMR spectroscopy. Importantly, the hydrolase remained active in different media, such as saltwater or cow milk. Various environmentally-friendly application strategies for florfenicol inactivation were developed using the optimized hydrolase. As a potential filter device for cost-effective treatment of waste milk or aquacultural wastewater, the hydrolase was immobilized on Ni-NTA agarose or silica as carrier materials. In two further application examples, the hydrolase was used as cell extract or encapsulated with a semi-permeable membrane. This facilitated, for example, florfenicol inactivation in whole milk, which can help to treat waste milk from medicated cows, to be fed to calves without the risk of inducing antibiotic resistance. Enzymatic inactivation of antibiotics, in general, enables therapeutic intervention without promoting antibiotic resistance. KW - aquaculture KW - antibiotic inactivation KW - enzyme optimization KW - enzymatic inactivation KW - florfenicol KW - immobilization KW - industrial farming Y1 - 2022 U6 - https://doi.org/10.3390/antibiotics11040443 SN - 2079-6382 VL - 11 IS - 4 SP - 1 EP - 18 PB - MDPI CY - Basel, Schweiz ER - TY - GEN A1 - Müller, Marik A1 - Nedielkov, Ruslan A1 - Arndt, Katja M. T1 - Strategies for Enzymatic Inactivation of the Veterinary Antibiotic Florfenicol T2 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - Large quantities of the antibiotic florfenicol are used in animal farming and aquaculture, contaminating the ecosystem with antibiotic residues and promoting antimicrobial resistance, ultimately leading to untreatable multidrug-resistant pathogens. Florfenicol-resistant bacteria often activate export mechanisms that result in resistance to various structurally unrelated antibiotics. We devised novel strategies for the enzymatic inactivation of florfenicol in different media, such as saltwater or milk. Using a combinatorial approach and selection, we optimized a hydrolase (EstDL136) for florfenicol cleavage. Reaction kinetics were followed by time-resolved NMR spectroscopy. Importantly, the hydrolase remained active in different media, such as saltwater or cow milk. Various environmentally-friendly application strategies for florfenicol inactivation were developed using the optimized hydrolase. As a potential filter device for cost-effective treatment of waste milk or aquacultural wastewater, the hydrolase was immobilized on Ni-NTA agarose or silica as carrier materials. In two further application examples, the hydrolase was used as cell extract or encapsulated with a semi-permeable membrane. This facilitated, for example, florfenicol inactivation in whole milk, which can help to treat waste milk from medicated cows, to be fed to calves without the risk of inducing antibiotic resistance. Enzymatic inactivation of antibiotics, in general, enables therapeutic intervention without promoting antibiotic resistance. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 1266 KW - aquaculture KW - antibiotic inactivation KW - enzyme optimization KW - enzymatic inactivation KW - florfenicol KW - immobilization KW - industrial farming Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-561621 SN - 1866-8372 SP - 1 EP - 18 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - GEN A1 - Kindermann, Liana A1 - Dobler, Magnus A1 - Niedeggen, Daniela A1 - Chimbioputo Fabiano, Ezequiel A1 - Linstädter, Anja T1 - Dataset on woody aboveground biomass, disturbance losses, and wood density from an African savanna ecosystem T2 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - This dataset comprises tree inventories and damage assessments performed in Namibia's semi-arid Zambezi Region. Data were sampled in savannas and savanna woodlands along steep gradients of elephant population densities to capture the effects of those (and other) disturbances on individual-level and stand-level aboveground woody biomass (AGB). The dataset contains raw data on dendrometric measures and processed data on specific wood density (SWD), woody aboveground biomass, and biomass losses through disturbance impacts. Allometric proxies (height, canopy diameters, and in adult trees also stem circumferences) were recorded for n = 6,179 tree and shrub individuals. Wood samples were taken for each encountered species to measure specific wood density. These measurements have been used to estimate woody aboveground biomass via established allometric models, advanced through our improved methodologies and workflows that accounted for tree and shrub architecture shaped by disturbance impacts. To this end, we performed a detailed damage assessment on each woody individual in the field. In addition to estimations of standing biomass, our new method also delivered data on biomass losses to different disturbance agents (elephants, fire, and others) on the level of plant individuals and stands. The data presented here have been used within a study published with Ecological Indicators (Kindermann et al., 2022) to evaluate the benefits of our improved methodology in comparison to a standard reference method of aboveground biomass estimations. Additionally, it has been employed in a study on carbon storage and sequestration in vegetation and soils (Sandhage-Hofmann et al., 2021). The raw data of dendrometric measurements can be subjected to other available allometric models for biomass estimation. The processed data can be used to analyze disturbance impacts on woody aboveground biomass, or for regional carbon storage estimates. The data on species-specific wood density can be used for application to other dendrometric datasets to (re-) estimate biomass through allometric models requiring wood density. It can further be used for plant functional trait analyses. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 1265 KW - Damage assessment KW - Disturbance impacts KW - Disturbance indicator KW - Elephant disturbance KW - Tree allometry KW - Specific wood density KW - Woody aboveground biomass KW - Wood specific gravity Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-561607 SN - 1866-8372 SP - 1 EP - 16 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Kindermann, Liana A1 - Dobler, Magnus A1 - Niedeggen, Daniela A1 - Chimbioputo Fabiano, Ezequiel A1 - Linstädter, Anja T1 - Dataset on woody aboveground biomass, disturbance losses, and wood density from an African savanna ecosystem JF - Data in Brief N2 - This dataset comprises tree inventories and damage assessments performed in Namibia's semi-arid Zambezi Region. Data were sampled in savannas and savanna woodlands along steep gradients of elephant population densities to capture the effects of those (and other) disturbances on individual-level and stand-level aboveground woody biomass (AGB). The dataset contains raw data on dendrometric measures and processed data on specific wood density (SWD), woody aboveground biomass, and biomass losses through disturbance impacts. Allometric proxies (height, canopy diameters, and in adult trees also stem circumferences) were recorded for n = 6,179 tree and shrub individuals. Wood samples were taken for each encountered species to measure specific wood density. These measurements have been used to estimate woody aboveground biomass via established allometric models, advanced through our improved methodologies and workflows that accounted for tree and shrub architecture shaped by disturbance impacts. To this end, we performed a detailed damage assessment on each woody individual in the field. In addition to estimations of standing biomass, our new method also delivered data on biomass losses to different disturbance agents (elephants, fire, and others) on the level of plant individuals and stands. The data presented here have been used within a study published with Ecological Indicators (Kindermann et al., 2022) to evaluate the benefits of our improved methodology in comparison to a standard reference method of aboveground biomass estimations. Additionally, it has been employed in a study on carbon storage and sequestration in vegetation and soils (Sandhage-Hofmann et al., 2021). The raw data of dendrometric measurements can be subjected to other available allometric models for biomass estimation. The processed data can be used to analyze disturbance impacts on woody aboveground biomass, or for regional carbon storage estimates. The data on species-specific wood density can be used for application to other dendrometric datasets to (re-) estimate biomass through allometric models requiring wood density. It can further be used for plant functional trait analyses. KW - Damage assessment KW - Disturbance impacts KW - Disturbance indicator KW - Elephant disturbance KW - Tree allometry KW - Specific wood density KW - Woody aboveground biomass KW - Wood specific gravity Y1 - 2022 U6 - https://doi.org/10.1016/j.dib.2022.108155 SN - 2352-3409 VL - 42 SP - 1 EP - 16 PB - Elsevier CY - Amsterdam, Niederlande ER - TY - JOUR A1 - McHuron, Elizabeth A. A1 - Adamczak, Stephanie A1 - Arnould, John P. Y. A1 - Ashe, Erin A1 - Booth, Cormac A1 - Bowen, W. Don A1 - Christiansen, Fredrik A1 - Chudzinska, Magda A1 - Costa, Daniel P. A1 - Fahlman, Andreas A1 - Farmer, Nicholas A. A1 - Fortune, Sarah M. E. A1 - Gallagher, Cara A. A1 - Keen, Kelly A. A1 - Madsen, Peter T. A1 - McMahon, Clive R. A1 - Nabe-Nielsen, Jacob A1 - Noren, Dawn P. A1 - Noren, Shawn R. A1 - Pirotta, Enrico A1 - Rosen, David A. S. A1 - Speakman, Cassie N. A1 - Villegas-Amtmann, Stella A1 - Williams, Rob T1 - Key questions in marine mammal bioenergetics JF - Conservation physiology N2 - Bioenergetic approaches are increasingly used to understand how marine mammal populations could be affected by a changing and disturbed aquatic environment. There remain considerable gaps in our knowledge of marine mammal bioenergetics, which hinder the application of bioenergetic studies to inform policy decisions. We conducted a priority-setting exercise to identify high-priority unanswered questions in marine mammal bioenergetics, with an emphasis on questions relevant to conservation and management. Electronic communication and a virtual workshop were used to solicit and collate potential research questions from the marine mammal bioenergetic community. From a final list of 39 questions, 11 were identified as 'key'questions because they received votes from at least 50% of survey participants. Key questions included those related to energy intake (prey landscapes, exposure to human activities) and expenditure (field metabolic rate, exposure to human activities, lactation, time-activity budgets), energy allocation priorities, metrics of body condition and relationships with survival and reproductive success and extrapolation of data from one species to another. Existing tools to address key questions include labelled water, animal-borne sensors, mark-resight data from long-term research programs, environmental DNA and unmanned vehicles. Further validation of existing approaches and development of new methodologies are needed to comprehensively address some key questions, particularly for cetaceans. The identification of these key questions can provide a guiding framework to set research priorities, which ultimately may yield more accurate information to inform policies and better conserve marine mammal populations. Y1 - 2022 U6 - https://doi.org/10.1093/conphys/coac055 SN - 2051-1434 VL - 10 IS - 1 PB - Oxford Univ. Press CY - Oxford ER - TY - JOUR A1 - Pohanková, Eva A1 - Hlavinka, Petr A1 - Kersebaum, Kurt-Christian A1 - Rodríguez, Alfredo A1 - Balek, Jan A1 - Bednařík, Martin A1 - Dubrovský, Martin A1 - Gobin, Anne A1 - Hoogenboom, Gerrit A1 - Moriondo, Marco A1 - Nendel, Claas A1 - Olesen, Jørgen E. E. A1 - Rötter, Reimund Paul A1 - Ruiz-Ramos, Margarita A1 - Shelia, Vakhtang A1 - Stella, Tommaso A1 - Hoffmann, Munir Paul A1 - Takáč, Jozef A1 - Eitzinger, Josef A1 - Dibari, Camilla A1 - Ferrise, Roberto A1 - Bláhová, Monika A1 - Trnka, Miroslav T1 - Expected effects of climate change on the production and water use of crop rotation management reproduced by crop model ensemble for Czech Republic sites JF - European journal of agronomy N2 - Crop rotation, fertilization and residue management affect the water balance and crop production and can lead to different sensitivities to climate change. To assess the impacts of climate change on crop rotations (CRs), the crop model ensemble (APSIM,AQUACROP, CROPSYST, DAISY, DSSAT, HERMES, MONICA) was used. The yields and water balance of two CRs with the same set of crops (winter wheat, silage maize, spring barley and winter rape) in a continuous transient run from 1961 to 2080 were simulated. CR1 was without cover crops and without manure application. Straw after the harvest was exported from the fields. CR2 included cover crops, manure application and crop residue retention left on field. Simulations were performed using two soil types (Chernozem, Cambisol) within three sites in the Czech Republic, which represent temperature and precipitation gradients for crops in Central Europe. For the description of future climatic conditions, seven climate scenarios were used. Six of them had increasing CO & nbsp;concentrations according RCP 8.5, one had no CO2 increase in the future. The output of an ensemble expected higher productivity by 0.82 t/ha/year and 2.04 t/ha/year for yields and aboveground biomass in the future (2051-2080). However, if the direct effect of a CO2 increase is not considered, the average yields for lowlands will be lower. Compared to CR1, CR2 showed higher average yields of 1.26 t/ha/year for current climatic conditions and 1.41 t/ha/year for future climatic conditions. For the majority of climate change scenarios, the crop model ensemble agrees on the projected yield increase in C3 crops in the future for CR2 but not for CR1. Higher agreement for future yield increases was found for Chernozem, while for Cambisol, lower yields under dry climate scenarios are expected. For silage maize, changes in simulated yields depend on locality. If the same hybrid will be used in the future, then yield reductions should be expected within lower altitudes. The results indicate the potential for higher biomass production from cover crops, but CR2 is associated with almost 120 mm higher evapotranspiration compared to that of CR1 over a 5-year cycle for lowland stations in the future, which in the case of the rainfed agriculture could affect the long-term soil water balance. This could affect groundwater replenishment, especially for locations with fine textured soils, although the findings of this study highlight the potential for the soil water-holding capacity to buffer against the adverse weather conditions. KW - Yields KW - Evapotranspiration KW - Winter wheat KW - Silage maize KW - Spring barley KW - Winter oilseed rape Y1 - 2022 U6 - https://doi.org/10.1016/j.eja.2021.126446 SN - 1161-0301 SN - 1873-7331 VL - 134 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Groh, Jannis A1 - Diamantopoulos, Efstathios A1 - Duan, Xiaohong A1 - Ewert, Frank A1 - Heinlein, Florian A1 - Herbst, Michael A1 - Holbak, Maja A1 - Kamali, Bahareh A1 - Kersebaum, Kurt-Christian A1 - Kuhnert, Matthias A1 - Nendel, Claas A1 - Priesack, Eckart A1 - Steidl, Jörg A1 - Sommer, Michael A1 - Pütz, Thomas A1 - Vanderborght, Jan A1 - Vereecken, Harry A1 - Wallor, Evelyn A1 - Weber, Tobias K. D. A1 - Wegehenkel, Martin A1 - Weihermüller, Lutz A1 - Gerke, Horst H. T1 - Same soil, different climate: Crop model intercomparison on translocated lysimeters JF - Vadose zone journal N2 - Crop model intercomparison studies have mostly focused on the assessment of predictive capabilities for crop development using weather and basic soil data from the same location. Still challenging is the model performance when considering complex interrelations between soil and crop dynamics under a changing climate. The objective of this study was to test the agronomic crop and environmental flux-related performance of a set of crop models. The aim was to predict weighing lysimeter-based crop (i.e., agronomic) and water-related flux or state data (i.e., environmental) obtained for the same soil monoliths that were taken from their original environment and translocated to regions with different climatic conditions, after model calibration at the original site. Eleven models were deployed in the study. The lysimeter data (2014-2018) were from the Dedelow (Dd), Bad Lauchstadt (BL), and Selhausen (Se) sites of the TERENO (TERrestrial ENvironmental Observatories) SOILCan network. Soil monoliths from Dd were transferred to the drier and warmer BL site and the wetter and warmer Se site, which allowed a comparison of similar soil and crop under varying climatic conditions. The model parameters were calibrated using an identical set of crop- and soil-related data from Dd. Environmental fluxes and crop growth of Dd soil were predicted for conditions at BL and Se sites using the calibrated models. The comparison of predicted and measured data of Dd lysimeters at BL and Se revealed differences among models. At site BL, the crop models predicted agronomic and environmental components similarly well. Model performance values indicate that the environmental components at site Se were better predicted than agronomic ones. The multi-model mean was for most observations the better predictor compared with those of individual models. For Se site conditions, crop models failed to predict site-specific crop development indicating that climatic conditions (i.e., heat stress) were outside the range of variation in the data sets considered for model calibration. For improving predictive ability of crop models (i.e., productivity and fluxes), more attention should be paid to soil-related data (i.e., water fluxes and system states) when simulating soil-crop-climate interrelations in changing climatic conditions. Y1 - 2022 U6 - https://doi.org/10.1002/vzj2.20202 SN - 1539-1663 VL - 21 IS - 4 PB - Wiley CY - Hoboken ER -