Scientific Results

This catalogue is obtained by conducting a systematic literature review of scientific studies and reviews related to monitoring, forecasting, and simulating the inland water cycle. The analysis maps scientific expertise across research groups and classifies findings by the type of inland water studied, application focus, and geographical scope. A gap analysis will identify missing research areas and assess their relevance to policymaking.

ID â–Č Type Year Authors Title Venue/Journal DOI Research type Water System Technical Focus Abstract Link with Projects Link with Tools Related policies ID
publications-2551 Peer reviewed articles 2020 Alina Tepes, Marc B. Neumann Multiple perspectives of resilience: A holistic approach to resilience assessment using cognitive maps in practitioner engagement Water Research 10.1016/j.watres.2020.115780 Data Management & Analytics Precipitation & Ecological Systems No abstract available 734560
publications-2552 Peer reviewed articles 2020 Tiina NÔges, Nasime Janatian, Reet Laugaste, Peeter NÔges Post-soviet changes in nitrogen and phosphorus stoichiometry in two large non-stratified lakes and the impact on phytoplankton Global Ecology and Conservation 10.1016/j.gecco.2020.e01369 Data Management & Analytics Natural Water Bodies No abstract available 722518
publications-2553 Peer reviewed articles 2020 Jason D. Stockwell, Jonathan P. Doubek, Rita Adrian, Orlane Anneville, Cayelan C. Carey, Laurence Carvalho, Lisette N. De Senerpont Domis, GaĂ«l Dur, Marieke A. Frassl, Hans‐Peter Grossart, Bas W. Ibelings, Marc J. Lajeunesse, Aleksandra M. Lewandowska, MarĂ­a E. Llames, Shin‐Ichiro S. Matsuzaki, Emily R. Nodine, Peeter NĂ”ges, Vijay P. Patil, Francesco Pomati, Karsten Rinke, Lars G. Rudstam, Storm impacts on phytoplankton community dynamics in lakes Global Change Biology 10.1111/gcb.15033 Data Management & Analytics Groundwater AbstractIn 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. 722518
publications-2554 Peer reviewed articles 2019 J.-F. Mercure, M.A. Paim, P. Bocquillon, S. Lindner, P. Salas, P. Martinelli, I.I. Berchin, J.B.S.O de Andrade Guerra, C. Derani, C.L. de Albuquerque Junior, J.M.P. Ribeiro, F. Knobloch, H. Pollitt, N.R. Edwards, P.B. Holden, A. Foley, S. Schaphoff, R.A. Faraco, J.E. Vinuales System complexity and policy integration challenges: The Brazilian Energy- Water-Food Nexus Renewable and Sustainable Energy Reviews 10.1016/j.rser.2019.01.045 Data Management & Analytics Natural Water Bodies No abstract available 689150
publications-2555 Peer reviewed articles 2018 James Barry, Brian Coghlan, Alan Cullagh, James R. Kerr, James J. King Comparison of coarse-resolution rapid methods for assessing fish passage at riverine barriers: ICE and SNIFFER protocols River Research and Applications 10.1002/rra.3358 Uncategorized Natural Water Bodies AbstractMan‐made barriers have led to river fragmentation, restricting fish migrations to critical habitat. Fragmentation is relevant to the Water Framework and Habitats (Annex II fish) Directives of the European Union. SNIFFER (Water Framework Directive 111) is a United Kingdom‐developed fish passability assessment method with passability scores based on published data describing the physiological abilities of different fish species/life stages. SNIFFER is an objective protocol, but final scores require assessor opinion on specific nonquantified elements. The French ICE fish passability assessment protocol covers a larger number of fish species/life stages and removes the requirement for velocity readings (except in a few situations) and expert opinion with assessors following a decision tree process. In most situations, fewer direct measurements are required for the ICE protocol, and the evaluation process is quicker and simpler. Both protocols utilize a similar passability scoring system (0 = total barrier, 0.3 = high impact, 0.6 = low impact, 1 = no risk). Comparison of outcomes for species categories for both protocols was made in paired comparisons for 112 transversal sections (fish passage routes) recorded at 52 barriers (in‐river structures) of varying complexity in Irish rivers. Overall scores were found to be in high agreement for species groups at impassable (Score 0) and no risk (Score 1) barriers. Protocol agreement dropped significantly for high‐impact (Score 0.3) and low‐impact (Score 0.6) barriers. Results are discussed in the context of barrier passability at the 52 structures examined, primarily in the context of Atlantic salmon (Salmo salar L.) and of sea lamprey (Petromyzon marinus L.). In total, 22 of the structures had one or more fishways or fish passage solutions built into them as part of the original design. Both protocols identified substantial problems for sea lamprey and adult salmon at the majority of the fish passage solutions surveyed. The merits and shortcomings of both protocols, for managers assessing fish passability at complex riverine structures, are discussed. 689682
publications-2556 Peer reviewed articles 2020 Free, Gary; Bresciani, Mariano; Pinardi, Monica; Ghirardi, Nicola; Luciani, Giulia; Caroni, Rossana; Giardino, Claudia A regional evaluation of the influence of climate change on long term trends in chlorophyll-a in large Italian lakes from satellite data Earth system dynamics 10.5281/zenodo.3997381 IoT & Sensors Water Distribution Networks No abstract available 730066
publications-2557 Peer reviewed articles 2020 Hares Khan, Alo Laas, Rafael MarcĂ©, Biel Obrador Major Effects of Alkalinity on the Relationship Between Metabolism and Dissolved Inorganic Carbon Dynamics in Lakes Ecosystems 10.1007/s10021-020-00488-6 Data Management & Analytics Natural Water Bodies AbstractSeveral findings suggest that CO2 emissions in lakes are not always directly linked to changes in metabolism but can be associated with interactions with the dissolved inorganic carbon equilibrium. Alkalinity has been described as a determining factor in regulating the relative contributions of biological and inorganic processes to carbon dynamics in lakes. Here we analyzed the relationship between metabolic changes in dissolved oxygen (DO) and dissolved inorganic carbon (DIC) at different timescales in eight lakes covering a wide range in alkalinity. We used high-frequency data from automatic monitoring stations to explore the sensitivity of DIC to metabolic changes inferred from oxygen. To overcome the problem of noisy data, commonly found in high-frequency measurements datasets, we used Singular Spectrum Analysis to enhance the diel signal-to-noise ratio. Our results suggest that in most of the studied lakes, a large part of the measured variability in DO and DIC reflects non-metabolic processes. Furthermore, at low alkalinity, DIC dynamics appear to be mostly driven by aquatic metabolism, but this relationship weakens with increasing alkalinity. The observed deviations from the metabolic 1:1 stoichiometry between DO and DIC were strongly correlated with the deviations expected to occur from calcite precipitation, with a stronger correlation when accounting also for the benthic contribution of calcite precipitation. This highlights the role of calcite precipitation as an important driver of CO2 supersaturation in lakes with alkalinity above 1 meq L−1, which represents 57% of the global area of lakes and reservoirs around the world. 722518
publications-2558 Peer reviewed articles 2020 J. Barry, P. McLoone, C. J. Fitzgerald, J. J. King The spatial ecology of brown trout (Salmo trutta) and dace (Leuciscus leuciscus) in an artificially impounded riverine habitat: results from an acoustic telemetry study Aquatic Sciences 10.1007/s00027-020-00737-9 Simulation & Modeling River Basins No abstract available 689682
publications-2559 Peer reviewed articles 2020 Peter E. Jones, Sofia Consuegra, Luca Börger, Joshua Jones, Carlos Garcia de Leaniz Impacts of artificial barriers on the connectivity and dispersal of vascular macrophytes in rivers: A critical review Freshwater Biology 10.1111/fwb.13493 Uncategorized Uncategorized Abstract Macrophytes play important functional roles in river ecosystems, providing habitat and food, as well as influencing flow, water chemistry, and sediment dynamics. They also represent an important component of river biodiversity. Artificial river barriers have the potential to disrupt macrophyte dispersal, and compromise their distribution and persistence, but little information is available compared to barrier impacts on fish and macroinvertebrates. Here, we review the mechanisms supporting dispersal of river macrophytes in rivers and evaluate the nature of barrier impacts on macrophytes. Hydrochory (dispersal of propagules by water) is the principal mechanism of downstream dispersal, while zoochory (dispersal of propagules by animals) is likely to be the most important vector of upstream dispersal and inter‐catchment transport. Most studies have focused on the impact of large structures such as dams, and the findings indicate the impact is highly context dependent. Slow‐flowing habitats upstream of dams can act as traps to drifting propagules and thereby interrupt hydrochory. However, the consequences of interrupted hydrochory for downstream populations are unclear. River regulation can result in lower macrophyte diversity, although the lentic habitats associated with reservoirs can also favour an increase in the abundance and richness of macrophyte communities. Instream barriers are unlikely to affect zoochory by birds directly, but barriers are well known to restrict fish movements, so there is considerable potential for barriers to disrupt zoochory by fish, although no empirical study has specifically examined this possibility. There is a paucity of studies examining the impacts of low‐head barriers on macrophyte dispersal. Given the influence of macrophytes on river processes, we call for further research into barrier impacts on macrophyte population dynamics in order to gain a better understanding of the consequences of river fragmentation for fluvial communities and ecosystem functioning. 689682
publications-2560 Peer reviewed articles 2020 Wei D. Xu, Tim D. Fletcher, Matthew J. Burns, FrĂ©dĂ©ric Cherqui Real Time Control of Rainwater Harvesting Systems: The Benefits of Increasing Rainfall Forecast Window Water Resources Research 10.1029/2020wr027856 Data Management & Analytics Natural Water Bodies AbstractUse of real time control (RTC) technology in rainwater harvesting systems can improve performance across water supply, flood protection, and environmental flow provision. Such systems make the most of rainfall forecast information, to release water prior to storm events and thus minimize uncontrolled overflows. To date, most advanced applications have adopted 24‐hr forecast information, leaving longer‐term forecasts largely untested. In this study, we aimed to predict the performance of four different RTC strategies, based on different forecast lead time and preferred objectives. RTC systems were predicted to yield comparatively less harvested rainwater than conventional passive systems but delivered superior performance in terms of flood mitigation and delivery of environmental water for streamflow restoration. More importantly, using a 7‐day rainfall forecast was shown to enhance the ability of RTC in mitigating flood risks and delivering an outflow regime that is close to the natural (reference) streamflow. Such a finding suggests that RTC combined with 7‐day forecast can enhance the functionality of rainwater harvesting systems to restore and even mimic the entire natural flow regimes in receiving streams. This also opens up a new opportunity for practitioners to implement smart technology in managing urban stormwater in a range of contexts and for a range of stream health objectives. 786566