From greening to browning: Catchment vegetation development and reduced S-deposition promote organic carbon load on decadal time scales in Nordic lakes

Scientific Reports, Journal Year: 2016, Volume and Issue: 6(1)

Published: Aug. 24, 2016

Abstract Increased concentrations of dissolved organic carbon (DOC), often labelled “browning”, is a current trend in northern, particularly boreal, freshwaters. The browning has been attributed to the recent reduction sulphate (S) deposition during last 2 3 decades. Over century, climate and land use change have also caused an increasing vegetation cover (“greening”) this terrestrially fixed represents another potential source for export lakes rivers. impact greening on observed rivers decadal time scales remains poorly investigated, however. Here, we explore time-series both water chemistry catchment (using NDVI as proxy) from 70 Norwegian catchments over 30-year period. We show that increase terrestrial well temperature runoff significantly adds reduced SO 4 -deposition driver freshwater DOC concentration. extended periods (centuries), mediated changes may cause major northern surface waters, with severe ecosystem productivity functioning.

Language: Английский

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Exploring, exploiting and evolving diversity of aquatic ecosystem models: a community perspective

Aquatic Ecology, Journal Year: 2015, Volume and Issue: 49(4), P. 513 - 548

Published: Sept. 29, 2015

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 understanding functioning of ecosystems, filling observation gaps developing effective strategies for water quality management. In this spirit, numerous have been developed since 1970s. We set off explore model by making inventory among 42 modellers, categorizing resulting analysing them diversity. then focus comparing combining different aspects existing Finally, discuss came about past could future. Throughout our study, use analogies from biodiversity research analyse interpret recommend make publicly available through open-source policies, standardize documentation technical implementation models, compare ensemble modelling interdisciplinary approaches. end with field might develop next 5–10 years. To strive clarity improve readability non-modellers, include glossary.

Language: Английский

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Modelling the spatial and seasonal variability of water quality for entire river networks: Relationships with natural and anthropogenic factors

The Science of The Total Environment, Journal Year: 2015, Volume and Issue: 545-546, P. 152 - 162

Published: Dec. 30, 2015

Language: Английский

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Climate change, cyanobacteria blooms and ecological status of lakes: A Bayesian network approach

Ecological Modelling, Journal Year: 2016, Volume and Issue: 337, P. 330 - 347

Published: Aug. 3, 2016

Eutrophication of lakes and the risk harmful cyanobacterial blooms due is a major challenge for management aquatic ecosystems, climate change expected to reinforce these problems. Modelling ecosystems has been widely used predict effects altered land use on water quality, assessed by chemistry phytoplankton biomass. However, European Water Framework Directive requires more advanced biological indicators assessment ecological status bodies, such as amount cyanobacteria. We applied Bayesian network (BN) modelling approach link future scenarios land-use status, incorporating cyanobacteria biomass one indicators. The case study Lake Vansjø in Norway, which history eutrophication blooms. objective was (i) assess combined effect changes lake (ii) suitability BN this purpose. able model lake, combining scenarios, process-based output, monitoring data national system. results showed that benefits better were partly counteracted warming under scenarios. Most importantly, demonstrated importance including status: namely, inclusion can lower compared alone. Thus, be useful supplement models resource management.1

Language: Английский

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In search of an optimal in-field calibration method of low-cost gas sensors for ambient air pollutants: Comparison of linear, multilinear and artificial neural network approaches

Atmospheric Environment, Journal Year: 2019, Volume and Issue: 213, P. 640 - 658

Published: June 27, 2019

Language: Английский

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Reservoir water quality deterioration due to deforestation emphasizes the indirect effects of global change

Water Research, Journal Year: 2022, Volume and Issue: 221, P. 118721 - 118721

Published: June 7, 2022

Language: Английский

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Assessment of climate change impacts on hydrology and water quality of large semi-arid reservoirs in Brazil

Hydrological Sciences Journal, Journal Year: 2021, Volume and Issue: 66(8), P. 1321 - 1336

Published: May 21, 2021

This paper investigates climate change impacts on the hydrology and water quality of Brazilian semi-arid reservoirs. An integrated approach coupling climate, hydrological models was proposed. Five general circulation (GCMs) two future scenarios (SSP2-4.5 SSP5-8.5) were used for projections. The simulations showed that uncertainty in forecast significantly impacted outputs. Some revealed a strong decrease streamflow storage volume. On other hand, 40% multi-GCM projections indicated reservoir eutrophication. under SSP5-8.5 more significant than those SSP2-4.5. results also drought events may be prolonged change, principally at end 21st century SSP5-8.5, increase total phosphorus concentration. suggests tropical reservoirs could vulnerable to eutrophication regions.

Language: Английский

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Are our dynamic water quality models too complex? A comparison of a new parsimonious phosphorus model, SimplyP, and INCA‐P

Water Resources Research, Journal Year: 2017, Volume and Issue: 53(7), P. 5382 - 5399

Published: May 27, 2017

Abstract Catchment‐scale water quality models are increasingly popular tools for exploring the potential effects of land management, use change and climate on quality. However, dynamic, catchment‐scale nutrient in common usage complex, with many uncertain parameters requiring calibration, limiting their usability robustness. A key question is whether this complexity justified. To explore this, we developed a parsimonious phosphorus model, SimplyP, incorporating rainfall‐runoff model biogeochemical able to simulate daily streamflow, suspended sediment, particulate dissolved dynamics. The model's was compared one INCA‐P, performance two small rural catchment northeast Scotland. For three classes, less than six SimplyP must be determined through rest may based measurements, while INCA‐P has around 40 unmeasurable parameters. Despite substantially simpler process‐representation, performed comparably both calibration validation produced similar long‐term projections response changes management. Results support hypothesis that overly complex study catchment. We hope our findings will help prompt wider comparison exercises, as well debate among modeling community today's fit purpose. Simpler such have useful management research tools, building blocks future development (prototype code freely available), or benchmarks against which more could evaluated.

Language: Английский

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Simulating water quality and ecological status of Lake Vansjø, Norway, under land-use and climate change by linking process-oriented models with a Bayesian network

The Science of The Total Environment, Journal Year: 2017, Volume and Issue: 621, P. 713 - 724

Published: Dec. 1, 2017

Excess nutrient inputs and climate change are two of multiple stressors affecting many lakes worldwide. Lake Vansjø in southern Norway is one such eutrophic lake impacted by blooms toxic blue-green algae (cyanobacteria), classified as moderate ecological status under the EU Water Framework Directive. Future may exacerbate situation. Here we use a set chained models (global model, hydrological catchment phosphorus (P) Bayesian Network) to assess possible future lake, given scenarios storylines common project MARS (Managing Aquatic Ecosystems Resources Multiple Stress). The model simulations indicate that alone will increase precipitation runoff, give higher P fluxes but cause little phytoplankton biomass or changes status. For management land-use, however, results both can be positively negatively affected. Our also show value predicting biological indicator status, this case, cyanobacteria with BN model. all scenarios, contribute worsening assessed phytoplankton, compared using chlorophyll-a alone.

Language: Английский

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Oxygen dynamics in a boreal lake responds to long‐term changes in climate, ice phenology, and DOC inputs

Journal of Geophysical Research Biogeosciences, Journal Year: 2015, Volume and Issue: 120(11), P. 2441 - 2456

Published: Nov. 1, 2015

Abstract Boreal lakes are impacted by climate change, reduced acid deposition, and changing loads of dissolved organic carbon (DOC) from catchments. We explored, using the process‐based lake model MyLake, how changes in these pressures modulate ice phenology oxygen concentrations (DO) a small boreal humic lake. The was parametrized against year‐round time series water temperature DO buoy. Observed trends air (+0.045°C yr −1 ) DOC concentration (0.11 mg C L , +1% annually) over past 40 years were used as forcings. A backcast freezing breakup dates revealed that occurred on average 8 days earlier 2014 than 1974. enhanced column ventilation resulting higher spring. Warmer late summer led to longer anoxic periods, microbial turnover increased. long‐term increase caused decline DO, leading 15% more hypoxic (<3 10% (<15 µg conclude warming increasing antagonistic with respect their effect availability. suggests is stronger driver consumption temperature. browning may thus cause reductions oxythermal habitat fish aquatic biota lakes.

Language: Английский

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