Megan Klaar

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Associate Professor

University of Leeds
Country flagUnited Kingdom

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About

Megan Klaar is an Associate Professor at the University of Leeds in the UK. Her research focuses on the integration of sensor data and machine learning to advance the understanding and management of river carbon emissions, as well as the assessment of natural flood management techniques. She has contributed to several publications addressing the environmental impacts of hydrology and flood management strategies on aquatic ecosystems and river systems.

Recent Grants

Grant: Close

Examining the role of habitat quality in determining river ecosystem resilience to extreme flood events

Open Date: 2018-09-30

Close Date: 2022-09-29

Grant: Close

EUROFLOW - A EUROPEAN TRAINING AND RESEARCH NETWORK FOR ENVIRONMENTAL FLOW MANAGEMENT IN RIVER BASINS

Open Date: 2017-10-01

Close Date: 2022-08-01

Grant: Close

Assessing the effects of EXtreme summer flooding on STREAM ecosystem successional processes (EXSTREAM).

Open Date: 2014-09-24

Close Date: 2016-08-30

Grant: Close

The Summer After the Floods: a real-time examination of the social, economic and environmental dimensions of flood recovery and resilience.

Open Date: 2014-06-30

Close Date: 2016-03-30

Grant: Close

Large woody debris -A river restoration panacea for streambed nitrate attenuation?

Open Date: 2014-05-30

Close Date: 2018-02-28

Positions (1)

25 years ago

Articles (20)

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2025

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2025

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2025

Eutrophication of freshwater ecosystems is a global problem, but restoration can be difficult due to ongoing problems relating to water pollution, sedimentary nutrient stores and altered aquatic biodiversity. Mitigation of Eutrophication is often conducted alongside transplantation of submerged macrophytes and dredging, but knowledge of ecosystem response to post‐dredging transplantation of submerged macrophytes is limited. We report a long‐term (2008–2018) in situ monitoring study to evaluate the effects of different restoration measures: dredging only (Dredged) and dredged with post‐transplantation of submerged macrophytes (Dredged with macrophytes) conducted in five subtropical eutrophic lakes, Taihu basin. Water and sediment nutrients, bloom‐forming algae Microcystis and macroinvertebrate were monitored every 2 years for each treatment and compared with reference areas (Control) established in unrestored parts of the same lake. Dredging only decreased sediment nutrients (e.g. carbon, phosphorus) significantly; however, this effect diminished about 5 years later. Dredged with macrophytes had a stronger, longer lasting positive effect on water quality than dredged alone. Disturbance caused by dredging (without macrophytes transplantation) decreased the biomass of Microcystis , while transplantation of macrophytes shortly after dredging did not contribute to the decreasing of Microcystis biomass. The biomass of Microcystis in Dredged with macrophytes areas was always similar to Control over the period of our monitoring. A positive effect of submerged macrophytes transplantation post‐dredging was found for macroinvertebrate abundance and diversity: Dredged with macrophytes areas had significantly higher macroinvertebrate biomass and richness than Dredged areas after 9 years' recovery. Macroinvertebrate richness in Dredged with macrophytes areas nearly doubled compared to Control, while Dredged areas were just restored to Control levels. Synthesis and applications : Our study provides an long‐term field monitoring with new findings about the benefits and caution of submerged macrophytes transplantation post‐dredging and the effect of partial restoration, which could inform eutrophic waterbody restoration schemes.

Year:

2024

Riverine ecosystems have adapted to natural discharge variations across seasons. However, evidence suggesting that climate change has already impacted magnitudes of river flow seasonality is limited to local studies, mainly focusing on changes of mean or extreme flows. This study introduces the use of apportionment entropy as a robust measure to assess flow-volume nonuniformity across seasons, enabling a global analysis. We found that ~21% of long-term river gauging stations exhibit significant alterations in seasonal flow distributions, but two-thirds of these are unrelated to trends in annual mean discharge. By combining a data-driven runoff reconstruction with state-of-the-art hydrological simulations, we identified a discernible weakening of river flow seasonality in northern high latitudes (above 50°N), a phenomenon directly linked to anthropogenic climate forcing.

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2024

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2024

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2024

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2024

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2024

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2024

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2023

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2023

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2022

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2022

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2022

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2021

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2021

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2021

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2021

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2020

Collaborators (8)

Martin Wilkes

Coventry University

UNITED KINGDOM
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Jorge García Molinos

Associate Professor

Hokkaido University

JAPAN
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Mike Kirkby

Professor of Physical Geography

University of Leeds

UNITED KINGDOM
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Joseph Holden

University of Leeds

UNITED KINGDOM
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Lee E. Brown

-

UNITED KINGDOM
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Christopher J. Thomas

Global Professor in Water and Planetary Health

University of Lincoln

UNITED KINGDOM
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Jay P. Zarnetske

-

UNITED STATES
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Thomas Willis

-

UNITED KINGDOM
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