Could the extreme meteorological events in Lake Maggiore watershed determine a climate-driven eutrophication process?

Morabito, Giuseppe; Rogora, Michela; Austoni, Martina; Ciampittiello, Marzia

doi:10.1007/s10750-018-3549-4

Cited by 41 publications

(26 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We know that the pH is not the major limiting factor for F − in the Chagan Lake. Most lake eutrophication were affected by the precipitation and evaporation, while the major meteorological elements of the Chagan Lake were evaporation, which was different from low latitude lakes such as the Dianchi [37,[66][67][68].…”

Section: Statistical Analysis Resultsmentioning

confidence: 95%

Assessment of Lake Water Quality and Eutrophication Risk in an Agricultural Irrigation Area: A Case Study of the Chagan Lake in Northeast China

Liu

Zhang

Sun

et al. 2019

Water

View full text Add to dashboard Cite

Water quality safety is the key factor to maintain the ecosystem service functions of lakes. Field investigations and statistical analyses were carried out to study the water quality of a large, agriculture-stressed lakes (e.g., Chagan Lake) in Northeast China. The hydro-chemical properties of the Chagan Lake are HCO3·CO3-Na. Nutrient (N and P) and non-nutrient (pH and F−) were found to be the major factors that threaten water quality safety of the lake. The concentration of total nitrogen (TN) and total phosphorus (TP) was found to vary seasonally and at different locations. The overall lake water had mean TN and TP values of 2.19 mg/L and 0.49 mg/L, respectively, in summer. TN was the major factor for water quality deterioration in the western region of the lake, while TP was the principal factor in the other regions, as determined by a principal component analysis (PCA). Fluoride (F−) concentration in the lake water were related to the values of total dissolved solid (TDS), pH, and electrical conductivity (EC). In addition, eutrophication is a fundamental index that has been affecting the ecological evaluation of water quality. The results showed that trophic level index (TLI), trophic state index (TSI), and eutrophication index (EI) were evaluated to quantify the risk of eutrophication. However, TLI and TSI can better describe the purification effect of the wetland. These indices showed that the lake water was hyper-eutrophic in summer, with TLI, TSI, and EI values of 60.1, 63.0, and 66.6, respectively. Disparities in water quality were observed among whole areas of the lake. Overall, this study revealed that controlling agriculture drainage is crucial for lake water quality management. The study generated critical data for making water quality management plans to control the risk.

show abstract

Section: Statistical Analysis Resultsmentioning

confidence: 95%

Assessment of Lake Water Quality and Eutrophication Risk in an Agricultural Irrigation Area: A Case Study of the Chagan Lake in Northeast China

Liu

Zhang

Sun

et al. 2019

Water

View full text Add to dashboard Cite

show abstract

“…High winds mixing the water column usually favour diatom development during lower light conditions in spring while low winds would favour concentration of buoyant phytoplankton such as cyanobacteria towards the surface in summer (Leoni et al, 2014;Moss, 1988). While rainfall was not included directly in any of the NPMR models, the increasing frequency of extreme rainfall events have been linked to transporting nutrients to lake Maggiore supporting summer blooms of cyanobacteria that have occurred regularly since 2005 330 (Morabito et al, 2018).…”

mentioning

confidence: 99%

A regional evaluation of the influence of climate change on long term trends in chlorophyll-a in large Italian lakes from satellite data

Free

Bresciani

Pinardi

et al. 2020

Preprint

View full text Add to dashboard Cite

Abstract. Climate change has increased the temperature and altered the mixing regime of high-value lakes in the sub-alpine region of Northern Italy. Remote sensing of chlorophyll-a can help provide a time-series to allow an assessment of the ecological implications of this. Non-parametric multiplicative regression (NPMR) was used to visualize and understand the changes that have occurred between 2003–2018 in lakes Garda, Como, Iseo and Maggiore. In all four deep sub-alpine lakes there has been a disruption from a traditional pattern of a significant spring chlorophyll-a peak followed by a clear water phase and summer/autumn peaks. This was replaced after 2010–2012, with lower spring peaks and a tendency for annual maxima to occur in summer. There was a tendency for this switch to be interspersed by a two-year period of low chlorophyll-a, which seemed to extend until 2018 for Lake Garda. Variables that were significant in NPMR included time, air temperature, wind speed, cloud cover, winter temperature and winter values for the North Atlantic Oscillation and Eastern Atlantic pattern. The change from spring to summer chlorophyll-a maxima, relatively sudden in an ecological context, could be interpreted as a regime shift. The cause is probably cascading effects from increased winter temperatures, reduced winter mixing and altered nutrient dynamics. Future trends will depend on climate change and inter-decadal climate drivers.

show abstract

“…After the last episode of complete mixing in 2005-2006 due to exceptionally cold and windy winter conditions (Ambrosetti and Barbanti, 1999), a tendency towards increasing stability of the water column and decreasing mixing depth has been reported as an effect of climate warming (Rogora et al, 2018). The effects of climate change on Lake Maggiore have been extensively described and involve both the hydrodynamic and thermal features of the lake (Fenocchi et al, 2018) as well as its trophic and oxygen status (Rogora et al, 2018) and various biological compartments (Morabito et al, 2012(Morabito et al, , 2018Nõges et al, 2017;Tanentzap et al, 2020). As regards phytoplankton, while nutrient inputs were the main drivers of its dynamics until the early 1990s, climatic factors started to play an important role during the oligotrophication phase (Morabito et al, 2012).…”

Section: Lake Maggiore Its Monitoring History and Long-term Dynamicsmentioning

confidence: 99%

“…Until present, monitoring of Lake Maggiore has been based on the conventional sampling methods described above (CNR-IRSA 2019; Rogora et al, 2018) and HFM has been limited to meteorological and hydrological variables. However, recent evidence of the relevance of rapid ecological changes and extreme meteorological events prompted the idea that more frequent limnological data are needed to describe and timely predict fast-paced processes (Morabito et al, 2018), such as algal blooms in spring and summer (Callieri et al, 2014;Tapolczai et al, 2015).…”

Section: Lake Maggiore Its Monitoring History and Long-term Dynamicsmentioning

confidence: 99%

Automated high frequency monitoring of Lake Maggiore through <em>in situ</em> sensors: system design, field test and data quality control

et al. 2021

Self Cite

View full text Add to dashboard Cite

A high frequency monitoring (HFM) system for the deep subalpine lakes Maggiore, Lugano and Como is under development within the EU INTERREG project SIMILE. The HFM system is designed to i) describe often neglected but potentially relevant processes occurring on short time scale; ii) become a cost-effective source of environmental data; and iii) strengthen the coordinated management of water resources in the subalpine lake district. In this project framework, a first HFM station (LM1) consisting of a monitoring buoy was placed in Lake Maggiore. LM1 represents a pilot experience within the project, aimed at providing the practical know-how needed for the development of the whole HFM system. To increase replicability and transferability, LM1 was developed in-house, and conceived as a low-cost modular system. LM1 is presently equipped with solar panels, a weather station, and sensors for water temperature, pH, dissolved oxygen, conductivity, and chlorophyll-a. In this study, we describe the main features of LM1 (hardware and software) and the adopted Quality Assurance/Quality Control (QA/QC) procedures. To this end, we provide examples from a test period, i.e., the first 9-months of functioning of LM1. A description of the software selected as data management software for the HFM system (IstSOS) is also provided. Data gathered during the study period provided clear evidence that coupling HFM and discrete sampling for QA/QC controls is necessary to produce accurate data and to detect and correct errors, mainly because of sensor fouling and calibration drift. These results also provide essential information to develop further the HFM system and shared protocols adapted to the local environmental (i.e., large subalpine lakes) and technical (expertise availability) context. Next challenge is making HFM not only a source of previously unaffordable information, but also a cost-effective tool for environmental monitoring.

show abstract

Could the extreme meteorological events in Lake Maggiore watershed determine a climate-driven eutrophication process?

Cited by 41 publications

References 46 publications

Assessment of Lake Water Quality and Eutrophication Risk in an Agricultural Irrigation Area: A Case Study of the Chagan Lake in Northeast China

Assessment of Lake Water Quality and Eutrophication Risk in an Agricultural Irrigation Area: A Case Study of the Chagan Lake in Northeast China

A regional evaluation of the influence of climate change on long term trends in chlorophyll-a in large Italian lakes from satellite data

Automated high frequency monitoring of Lake Maggiore through <em>in situ</em> sensors: system design, field test and data quality control

Contact Info

Product

Resources

About