The impact of environmental variables on reed stands of the intermittent Lake Cerknica, Slovenia: 40 years of change
The common reed (Phragmites australis) is a highly adaptable perennial grass that thrives in diverse wetland environments, capable of forming dense stands that are crucial for ecosystem services such as soil stabilization and habitat provision. At Lake Cerknica, long-term data on water levels and te...
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Elsevier
2025-01-01
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| Series: | Ecological Indicators |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X25000305 |
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| author | Nik Ojdanič Alenka Gaberščik Igor Zelnik Aleksandra Golob |
| author_facet | Nik Ojdanič Alenka Gaberščik Igor Zelnik Aleksandra Golob |
| author_sort | Nik Ojdanič |
| collection | DOAJ |
| description | The common reed (Phragmites australis) is a highly adaptable perennial grass that thrives in diverse wetland environments, capable of forming dense stands that are crucial for ecosystem services such as soil stabilization and habitat provision. At Lake Cerknica, long-term data on water levels and temperatures, combined with four decades of Landsat satellite imagery, allowed for a comprehensive analysis of reed stand dynamics of three different reed stands using the modified soil adjusted vegetation index (MSAVI2) and an index differentiating technique. Decision tree-based data mining using the M5P algorithm effectively identified significant changes in MSAVI2. Previous MSAVI2 values were key predictors for detecting increases in the following year, while water level data, particularly high summer water levels, were critical for identifying significant decreases. Smaller changes were less reliably predicted, but temperature data emerged as a more influential predictor in such cases. Long-term field measurements of common reed biomass confirmed the accuracy of remotely sensed data. Yearly dynamics of reed stands showed a consistent alternation between significant changes in MSAVI2 with short periods of smaller changes. The largest amplitude of change occurred at the reed stand most affected by disturbances. Despite these annual fluctuations, reed stands maintained long-term equilibrium but require continued monitoring to identify years where a decrease in reed vitality is expected. Consequently, mowing events in such years should be minimised. The findings highlight the utility of combining remote sensing with environmental data to develop predictive models that recognize changes of reed stand vitality, providing crucial information for effective reed management. |
| format | Article |
| id | doaj-art-6757980c2fde46fea06f7ce07a963bf0 |
| institution | Kabale University |
| issn | 1470-160X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
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| series | Ecological Indicators |
| spelling | doaj-art-6757980c2fde46fea06f7ce07a963bf02025-01-31T05:10:51ZengElsevierEcological Indicators1470-160X2025-01-01170113101The impact of environmental variables on reed stands of the intermittent Lake Cerknica, Slovenia: 40 years of changeNik Ojdanič0Alenka Gaberščik1Igor Zelnik2Aleksandra Golob3Corresponding author.; Department of Biology, Biotechnical Faculty, University of Ljubljana, Večna pot 111, 1000 Ljubljana, SloveniaDepartment of Biology, Biotechnical Faculty, University of Ljubljana, Večna pot 111, 1000 Ljubljana, SloveniaDepartment of Biology, Biotechnical Faculty, University of Ljubljana, Večna pot 111, 1000 Ljubljana, SloveniaDepartment of Biology, Biotechnical Faculty, University of Ljubljana, Večna pot 111, 1000 Ljubljana, SloveniaThe common reed (Phragmites australis) is a highly adaptable perennial grass that thrives in diverse wetland environments, capable of forming dense stands that are crucial for ecosystem services such as soil stabilization and habitat provision. At Lake Cerknica, long-term data on water levels and temperatures, combined with four decades of Landsat satellite imagery, allowed for a comprehensive analysis of reed stand dynamics of three different reed stands using the modified soil adjusted vegetation index (MSAVI2) and an index differentiating technique. Decision tree-based data mining using the M5P algorithm effectively identified significant changes in MSAVI2. Previous MSAVI2 values were key predictors for detecting increases in the following year, while water level data, particularly high summer water levels, were critical for identifying significant decreases. Smaller changes were less reliably predicted, but temperature data emerged as a more influential predictor in such cases. Long-term field measurements of common reed biomass confirmed the accuracy of remotely sensed data. Yearly dynamics of reed stands showed a consistent alternation between significant changes in MSAVI2 with short periods of smaller changes. The largest amplitude of change occurred at the reed stand most affected by disturbances. Despite these annual fluctuations, reed stands maintained long-term equilibrium but require continued monitoring to identify years where a decrease in reed vitality is expected. Consequently, mowing events in such years should be minimised. The findings highlight the utility of combining remote sensing with environmental data to develop predictive models that recognize changes of reed stand vitality, providing crucial information for effective reed management.http://www.sciencedirect.com/science/article/pii/S1470160X25000305Common reedData miningRemote sensingWetlandBiomassChange detection |
| spellingShingle | Nik Ojdanič Alenka Gaberščik Igor Zelnik Aleksandra Golob The impact of environmental variables on reed stands of the intermittent Lake Cerknica, Slovenia: 40 years of change Ecological Indicators Common reed Data mining Remote sensing Wetland Biomass Change detection |
| title | The impact of environmental variables on reed stands of the intermittent Lake Cerknica, Slovenia: 40 years of change |
| title_full | The impact of environmental variables on reed stands of the intermittent Lake Cerknica, Slovenia: 40 years of change |
| title_fullStr | The impact of environmental variables on reed stands of the intermittent Lake Cerknica, Slovenia: 40 years of change |
| title_full_unstemmed | The impact of environmental variables on reed stands of the intermittent Lake Cerknica, Slovenia: 40 years of change |
| title_short | The impact of environmental variables on reed stands of the intermittent Lake Cerknica, Slovenia: 40 years of change |
| title_sort | impact of environmental variables on reed stands of the intermittent lake cerknica slovenia 40 years of change |
| topic | Common reed Data mining Remote sensing Wetland Biomass Change detection |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X25000305 |
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