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Träfflista för sökning "WFRF:(Rinke Karsten) "

Sökning: WFRF:(Rinke Karsten)

  • Resultat 1-6 av 6
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  • Janssen, Annette B. G., et al. (författare)
  • Exploring, exploiting and evolving diversity of aquatic ecosystem models : a community perspective
  • 2015
  • Ingår i: Aquatic Ecology. - 1386-2588 .- 1573-5125. ; 49:4, s. 513-548
  • Tidskriftsartikel (refereegranskat)abstract
    • Here, we present a community perspective on how to explore, exploit and evolve the diversity in aquatic ecosystem models. These models play an important role in understanding the functioning of aquatic ecosystems, filling in observation gaps and developing effective strategies for water quality management. In this spirit, numerous models have been developed since the 1970s. We set off to explore model diversity by making an inventory among 42 aquatic ecosystem modellers, by categorizing the resulting set of models and by analysing them for diversity. We then focus on how to exploit model diversity by comparing and combining different aspects of existing models. Finally, we discuss how model diversity came about in the past and could evolve in the future. Throughout our study, we use analogies from biodiversity research to analyse and interpret model diversity. We recommend to make models publicly available through open-source policies, to standardize documentation and technical implementation of models, and to compare models through ensemble modelling and interdisciplinary approaches. We end with our perspective on how the field of aquatic ecosystem modelling might develop in the next 5-10 years. To strive for clarity and to improve readability for non-modellers, we include a glossary.
  • Bruce, Louise C, et al. (författare)
  • A multi-lake comparative analysis of the General Lake Model (GLM) : Stress-testing across a global observatory network
  • 2018
  • Ingår i: Environmental Modelling & Software. - 1364-8152 .- 1873-6726. ; 102, s. 274-291
  • Tidskriftsartikel (refereegranskat)abstract
    • The modelling community has identified challenges for the integration and assessment of lake models due to the diversity of modelling approaches and lakes. In this study, we develop and assess a one-dimensional lake model and apply it to 32 lakes from a global observatory network. The data set included lakes over broad ranges in latitude, climatic zones, size, residence time, mixing regime and trophic level. Model performance was evaluated using several error assessment metrics, and a sensitivity analysis was conducted for nine parameters that governed the surface heat exchange and mixing efficiency. There was low correlation between input data uncertainty and model performance and predictions of temperature were less sensitive to model parameters than prediction of thermocline depth and Schmidt stability. The study provides guidance to where the general model approach and associated assumptions work, and cases where adjustments to model parameterisations and/or structure are required.
  • Hollert, Henner, et al. (författare)
  • Looking back - Looking forward : A novel multi-time slice weight-of-evidence approach for defining reference conditions to assess the impact of human activities on lake systems
  • 2018
  • Ingår i: Science of the Total Environment. - : Elsevier. - 0048-9697 .- 1879-1026. ; 626, s. 1036-1046
  • Tidskriftsartikel (refereegranskat)abstract
    • Lake ecosystems are sensitive recorders of environmental changes that provide continuous archives at annual to decadal resolution over thousands of years. The systematic investigation of land use changes and emission of pollutants archived in Holocene lake sediments as well as the reconstruction of contamination, background conditions, and sensitivity of lake systems offer an ideal opportunity to study environmental dynamics and consequences of anthropogenic impact that increasingly pose risks to human well-being. This paper discusses the use of sediment and other lines of evidence in providing a record of historical and current contamination in lake ecosystems. We present a novel approach to investigate impacts from human activities using chemical-analytical, bioanalytical, ecological, paleolimnological, paleoecotoxicological, archeological as well as modeling techniques. This multi-time slice weight-of-evidence (WOE) approach will generate knowledge on conditions prior to anthropogenic influence and provide knowledge to (i) create a better understanding of the effects of anthropogenic disturbances on biodiversity, (ii) assess water quality by using quantitative data on historical pollution and persistence of pollutants archived over thousands of years in sediments, and (iii) define environmental threshold values using modeling methods. This technique may be applied in order to gain insights into reference conditions of surface and ground waters in catchments with a long history of land use and human impact, which is still a major need that is currently not yet addressed within the context of the European Water Framework Directive.
  • Marcé, Rafael, et al. (författare)
  • Automatic High Frequency Monitoring for Improved Lake and Reservoir Management
  • 2016
  • Ingår i: Environmental Science and Technology. - 0013-936X .- 1520-5851. ; 50:20, s. 10780-10794
  • Forskningsöversikt (refereegranskat)abstract
    • Recent technological developments have increased the number of variables being monitored in lakes and reservoirs using automatic high frequency monitoring (AHFM). However, design of AHFM systems and posterior data handling and interpretation are currently being developed on a site-by-site and issue-by-issue basis with minimal standardization of protocols or knowledge sharing. As a result, many deployments become short-lived or underutilized, and many new scientific developments that are potentially useful for water management and environmental legislation remain underexplored. This Critical Review bridges scientific uses of AHFM with their applications by providing an overview of the current AHFM capabilities, together with examples of successful applications. We review the use of AHFM for maximizing the provision of ecosystem services supplied by lakes and reservoirs (consumptive and non consumptive uses, food production, and recreation), and for reporting lake status in the EU Water Framework Directive. We also highlight critical issues to enhance the application of AHFM, and suggest the establishment of appropriate networks to facilitate knowledge sharing and technological transfer between potential users. Finally, we give advice on how modern sensor technology can successfully be applied on a larger scale to the management of lakes and reservoirs and maximize the ecosystem services they provide.
  • Mesman, Jorrit P., 1993- (författare)
  • Assessing future effects on lake ecosystem resilience using data analysis and dynamic modelling : Modelling the effects of extreme weather events and climate warming on lakes
  • 2021
  • Doktorsavhandling (övrigt vetenskapligt)abstract
    • Extreme weather events can have short-term and long-term effects on lake thermal structure, nutrient dynamics, and community composition. Moreover, changes in lake variables induced by global climate change may influence the response and recovery of lake ecosystems to extreme weather events. The linkage between extreme weather and lakes includes interactions between physics and biology, and long-term and short-term dynamics, which are not yet well understood. Process-based modelling is used in this thesis to further explore this topic, and to assess how lake responses to extreme weather events may change under the influence of climate warming.Lake-internal feedback mechanisms were shown to potentially cause sudden shifts in climate-induced transitions in lake mixing regimes, with a role for extreme weather events to induce such shifts. Additionally, one-dimensional physical lake models performed well in reproducing trends in lake variables during storms and heatwaves in a study covering multiple locations and models. However, extreme weather events still presented periods of increased model uncertainty, which should be taken into account. A software package was developed to promote the use of ensemble lake modelling, which is one way to include uncertainty in model forecasting efforts. This could be particularly helpful in periods of extreme weather. With tools and theory now in place, a coupled physical-biogeochemical model was then used to assess what are the most important drivers of how lake phytoplankton responds to storms, and how this response might change with climate warming. Storm intensity, thermal structure, nutrients, and light all affected the phytoplankton concentration after storms. Moderate wind speeds had increasing effects compared to high wind speeds, but a sufficiently deep mixed layer reduced the response to wind strongly. Higher nutrients and light promoted increasing effects of wind, and higher temperatures promoted decreasing effects. The response of phytoplankton to storms did not change markedly between present-day and future-climate scenarios.This thesis furthers our understanding of the processes involved in extreme events acting on lakes. A more complete understanding is necessary to develop more reliable models and anticipate future conditions. Furthermore, modelling was shown to be a viable approach to study these events and validation data and tools were provided to increase the reliability of this method. In these times of increasing environmental pressures and changing extreme weather patterns, more insight into future effects of extreme events is much needed.
  • Stockwell, Jason D., et al. (författare)
  • Storm impacts on phytoplankton community dynamics in lakes
  • 2020
  • Ingår i: Global Change Biology. - : WILEY. - 1354-1013 .- 1365-2486. ; 26:5, s. 2756-2784
  • Forskningsöversikt (refereegranskat)abstract
    • In many regions across the globe, extreme weather events such as storms have increased in frequency, intensity, and duration due to climate change. Ecological theory predicts that such extreme events should have large impacts on ecosystem structure and function. High winds and precipitation associated with storms can affect lakes via short-term runoff events from watersheds and physical mixing of the water column. In addition, lakes connected to rivers and streams will also experience flushing due to high flow rates. Although we have a well-developed understanding of how wind and precipitation events can alter lake physical processes and some aspects of biogeochemical cycling, our mechanistic understanding of the emergent responses of phytoplankton communities is poor. Here we provide a comprehensive synthesis that identifies how storms interact with lake and watershed attributes and their antecedent conditions to generate changes in lake physical and chemical environments. Such changes can restructure phytoplankton communities and their dynamics, as well as result in altered ecological function (e.g., carbon, nutrient and energy cycling) in the short- and long-term. We summarize the current understanding of storm-induced phytoplankton dynamics, identify knowledge gaps with a systematic review of the literature, and suggest future research directions across a gradient of lake types and environmental conditions.
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  • Resultat 1-6 av 6

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