Alo Laas

Dr. Alo Laas

Chair of Hydrobiology and Fishery, Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences
orcid

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
5 August 2016 in Remote Sensing
Verified
Journal Article
Open access
PDF file
KKaire Toming
Kaire Toming
TKTiit Kutser
Tiit Kutser
ALAlo Laas
Alo Laas
MSMargot Sepp
Margot Sepp
BPBirgot Paavel
Birgot Paavel
TNTiina Noges
Tiina Noges
The importance of lakes and reservoirs leads to the high need for monitoring lake water quality both at local and global scales. The aim of the study was to test suitability of Sentinel-2 Multispectral Imager’s (MSI) data for mapping different lake water quality parameters. In situ data of chlorophyll a (Chl a), water color, colored dissolved organic matter (CDOM) and dissolved organic carbon (DOC) from nine small and two large lakes were compared with band ratio algorithms derived from Sentinel-2 Level-1C and atmospherically corrected (Sen2cor) Level-2A images. The height of the 705 nm peak was used for estimating Chl a. The suitability of the commonly used green to red band ratio was tested for estimating the CDOM, DOC and water color. Concurrent reflectance measurements were not available. Therefore, we were not able to validate the performance of Sen2cor atmospheric correction available in the Sentinel-2 Toolbox. The shape and magnitude of water reflectance were consistent with our field measurements from previous years. However, the atmospheric correction reduced the correlation between the band ratio algorithms and water quality parameters indicating the need in better atmospheric correction. We were able to show that there is good correlation between band ratio algorithms calculated from Sentinel-2 MSI data and lake water parameters like Chl a (R2 = 0.83), CDOM (R2 = 0.72) and DOC (R2 = 0.92) concentrations as well as water color (R2 = 0.52). The in situ dataset was limited in number, but covered a reasonably wide range of optical water properties. These preliminary results allow us to assume that Sentinel-2 will be a valuable tool for lake monitoring and research, especially taking into account that the data will be available routinely for many years, the imagery will be frequent, and free of charge.

31 March 2003 in Aquatic Conservation: Marine and Freshwater Ecosystems
Verified
Journal Article
Open access
PDF file
BMBrian Moss
Brian Moss
DSDeborah Stephen
Deborah Stephen
CACristina Alvarez
Cristina Alvarez
EBEloy Becares
Eloy Becares
WBWouter Van De Bund
Wouter Van De Bund
DWDavid Wilson
David Wilson
The European Water Framework Directive requires the determination of ecological status in European fresh and saline waters. This is to be through the establishment of a typology of surface water bodies, the determination of reference (high status) conditions in each element (ecotype) of the typology and of lower grades of status (good, moderate, poor and bad) for each ecotype. It then requires classification of the status of the water bodies and their restoration to at least ‘good status’ in a specified period. Though there are many methods for assessing water quality, none has the scope of that defined in the Directive. The provisions of the Directive require a wide range of variables to be measured and give only general guidance as to how systems of classification should be established. This raises issues of comparability across States and of the costs of making the determinations. Using expert workshops and subsequent field testing, a practicable pan‐European typology and classification system has been developed for shallow lakes, which can easily be extended to all lakes. It is parsimonious in its choice of determinands, but based on current limnological understanding and therefore as cost‐effective as possible. A core typology is described, which can be expanded easily in particular States to meet local conditions. The core includes 48 ecotypes across the entire European climate gradient and incorporates climate, lake area, geology of the catchment and conductivity. The classification system is founded on a liberal interpretation of Annexes in the Directive and uses variables that are inexpensive to measure and ecologically relevant. The need for taxonomic expertise is minimized. The scheme has been through eight iterations, two of which were tested in the field on tranches of 66 lakes. The final version, Version 8, is offered for operational testing and further refinement by statutory authorities. Copyright © 2003 John Wiley & Sons, Ltd.

3 May 2013 in Limnology and Oceanography
Verified
Journal Article
Closed access
PDF file
CSChristopher T. Solomon
Christopher T. Solomon
DBDenise A. Bruesewitz
Denise A. Bruesewitz
DRDavid Richardson
David Richardson
KRKevin C. Rose
Kevin C. Rose
MBMatthew C. Van de Bogert
Matthew C. Van de Bogert
GZGuangwei Zhu
Guangwei Zhu

10 May 2012 in Geophysical Research Letters
Verified
Journal Article
Closed access
PDF file
JRJordan S. Read
Jordan S. Read
DHDavid Hamilton
David Hamilton
ADAnkur Desai
Ankur Desai
KRKevin C. Rose
Kevin C. Rose
SMSally MacIntyre
Sally MacIntyre
Chin H WuChin H Wu
Chin H Wu

13 April 2018 in Toxins
Verified
Journal Article
Open access
PDF file
EMEvanthia Mantzouki
Evanthia Mantzouki
Miquel LurlingMiquel Lurling
Miquel Lurling
JFJutta Fastner
Jutta Fastner
LDLisette De Senerpont Domis
Lisette De Senerpont Domis
EWElzbieta Wilk-Wozniak
Elzbieta Wilk-Wozniak
BIBas W. Ibelings
Bas W. Ibelings
Insight into how environmental change determines the production and distribution of cyanobacterial toxins is necessary for risk assessment. Management guidelines currently focus on hepatotoxins (microcystins). Increasing attention is given to other classes, such as neurotoxins (e.g., anatoxin-a) and cytotoxins (e.g., cylindrospermopsin) due to their potency. Most studies examine the relationship between individual toxin variants and environmental factors, such as nutrients, temperature and light. In summer 2015, we collected samples across Europe to investigate the effect of nutrient and temperature gradients on the variability of toxin production at a continental scale. Direct and indirect effects of temperature were the main drivers of the spatial distribution in the toxins produced by the cyanobacterial community, the toxin concentrations and toxin quota. Generalized linear models showed that a Toxin Diversity Index (TDI) increased with latitude, while it decreased with water stability. Increases in TDI were explained through a significant increase in toxin variants such as MC-YR, anatoxin and cylindrospermopsin, accompanied by a decreasing presence of MC-LR. While global warming continues, the direct and indirect effects of increased lake temperatures will drive changes in the distribution of cyanobacterial toxins in Europe, potentially promoting selection of a few highly toxic species or strains.

1 May 2020 in Nature Communications
Verified
Journal Article
Open access
PDF file
PKP. S. Keller
P. S. Keller
Núria CatalánNúria Catalán
Núria Catalán
Daniel von SchillerDaniel von Schiller
Daniel von Schiller
HGHans-Peter Grossart
Hans-Peter Grossart
MKMatthias Koschorreck
Matthias Koschorreck
RMRafael Marcé
Rafael Marcé
Many inland waters exhibit complete or partial desiccation, or have vanished due to global change, exposing sediments to the atmosphere. Yet, data on carbon dioxide (CO2) emissions from these sediments are too scarce to upscale emissions for global estimates or to understand their fundamental drivers. Here, we present the results of a global survey covering 196 dry inland waters across diverse ecosystem types and climate zones. We show that their CO2 emissions share fundamental drivers and constitute a substantial fraction of the carbon cycled by inland waters. CO2 emissions were consistent across ecosystem types and climate zones, with local characteristics explaining much of the variability. Accounting for such emissions increases global estimates of carbon emissions from inland waters by 6% (~0.12 Pg C y−1). Our results indicate that emissions from dry inland waters represent a significant and likely increasing component of the inland waters carbon cycle.