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Samenvatting
Submerged macrophytes play an important role in maintaining good water quality in shallow lakes. Yet extensive stands easily interfere with various services provided by these lakes, and harvesting is increasingly applied as a management measure. Because shallow lakes may possess alternative stable states over a wide range of environmental conditions, designing a successful mowing strategy is challenging, given the important role of macrophytes in stabilizing the clear water state. In this study, the integrated ecosystem model PCLake is used to explore the consequences of mowing, in terms of reducing nuisance and ecosystem stability, for a wide range of external nutrient loadings, mowing intensities and timings. Elodea is used as a model species. Additionally, we use PCLake to estimate how much phosphorus is removed with the harvested biomass, and evaluate the long-term effect of harvesting. Our model indicates that mowing can temporarily reduce nuisance caused by submerged plants in the first weeks after cutting, particularly when external nutrient loading is fairly low. The risk of instigating a regime shift can be tempered by mowing halfway the growing season when the resilience of the system is highest, as our model showed. Up to half of the phosphorus entering the system can potentially be removed along with the harvested biomass. As a result, prolonged mowing can prevent an oligo—to mesotrophic lake from becoming eutrophic to a certain extent, as our model shows that the critical nutrient loading, where the lake shifts to the turbid phytoplankton-dominated state, can be slightly increased.
Originele taal-2 | Engels |
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Pagina's (van-tot) | 619-634 |
Tijdschrift | Environmental Management |
Volume | 59 |
Nummer van het tijdschrift | 4 |
Vroegere onlinedatum | 02 jan. 2017 |
DOI's | |
Status | Gepubliceerd - 2017 |
Vingerafdruk
Duik in de onderzoeksthema's van 'Mowing Submerged Macrophytes in Shallow Lakes with Alternative Stable States: Battling the Good Guys?'. Samen vormen ze een unieke vingerafdruk.-
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NWO - Identifying critical nutrient loadings for Lake Taihu, China, with a dynamic model for integrated water system research
01/10/2012 → 15/05/2017
Project: Onderzoek