Geomorphometric and Geophysical Constraints on Outlining Drained Shallow Mountain Mires
Long-term draining of peatlands results in transformation of vegetation and obliteration of their morphological features. In many areas, efforts are made to restore the original ecosystems and increase their water retention potential. Using combined analyses of a LiDAR-based digital terrain model (D...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-01-01
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| Series: | Geosciences |
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| Online Access: | https://www.mdpi.com/2076-3263/13/2/43 |
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| author | Stanisław Burliga Marek Kasprzak Artur Sobczyk Wioletta Niemczyk |
| author_facet | Stanisław Burliga Marek Kasprzak Artur Sobczyk Wioletta Niemczyk |
| author_sort | Stanisław Burliga |
| collection | DOAJ |
| description | Long-term draining of peatlands results in transformation of vegetation and obliteration of their morphological features. In many areas, efforts are made to restore the original ecosystems and increase their water retention potential. Using combined analyses of a LiDAR-based digital terrain model (DTM), colour-infrared (CIR) imagery data, ground-penetrating radar (GPR) data and electrical resistivity tomography (ERT) data, we tested the applicability of these methods in outlining the extent and subsurface structure of drained mires located in the Stolowe Mountains National Park area, Poland. The LiDAR-DTMs enabled parameterisation of physiographic features of the mires and determination of their extent, runoff directions and potential waterlogging areas. CIR analysis enabled classification of vegetation types. GPR prospecting revealed the bedrock morphology, thickness and internal structure of the peat deposits, showing that this technique can also provide data on variability in the decomposition of phytogenic deposits. The obtained ERT sections indicate both the thickness of peat deposits and variability in the bedrock internal structure. The results show that integrated analyses of data obtained with different methods can be an effective tool in outlining the original extent of peatlands, with potential application in the planning of peatland ecosystem restitution. |
| first_indexed | 2024-03-11T08:46:30Z |
| format | Article |
| id | doaj.art-011cb66d7b0c43999c5ac69340e1f424 |
| institution | Directory Open Access Journal |
| issn | 2076-3263 |
| language | English |
| last_indexed | 2024-03-11T08:46:30Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Geosciences |
| spelling | doaj.art-011cb66d7b0c43999c5ac69340e1f4242023-11-16T20:44:47ZengMDPI AGGeosciences2076-32632023-01-011324310.3390/geosciences13020043Geomorphometric and Geophysical Constraints on Outlining Drained Shallow Mountain MiresStanisław Burliga0Marek Kasprzak1Artur Sobczyk2Wioletta Niemczyk3Institute of Geological Sciences, University of Wrocław, pl. M. Borna 9, 50-204 Wrocław, PolandInstitute of Geography and Regional Development, University of Wrocław, pl. Uniwersytecki 1, 50-137 Wrocław, PolandInstitute of Geological Sciences, University of Wrocław, pl. M. Borna 9, 50-204 Wrocław, PolandStolowe Mountains National Park, ul. Słoneczna 31, 57-350 Kudowa Zdrój, PolandLong-term draining of peatlands results in transformation of vegetation and obliteration of their morphological features. In many areas, efforts are made to restore the original ecosystems and increase their water retention potential. Using combined analyses of a LiDAR-based digital terrain model (DTM), colour-infrared (CIR) imagery data, ground-penetrating radar (GPR) data and electrical resistivity tomography (ERT) data, we tested the applicability of these methods in outlining the extent and subsurface structure of drained mires located in the Stolowe Mountains National Park area, Poland. The LiDAR-DTMs enabled parameterisation of physiographic features of the mires and determination of their extent, runoff directions and potential waterlogging areas. CIR analysis enabled classification of vegetation types. GPR prospecting revealed the bedrock morphology, thickness and internal structure of the peat deposits, showing that this technique can also provide data on variability in the decomposition of phytogenic deposits. The obtained ERT sections indicate both the thickness of peat deposits and variability in the bedrock internal structure. The results show that integrated analyses of data obtained with different methods can be an effective tool in outlining the original extent of peatlands, with potential application in the planning of peatland ecosystem restitution.https://www.mdpi.com/2076-3263/13/2/43drained mountain miresground-penetrating radarelectrical resistivity tomographyLiDAR-based digital terrain modelcolour-infrared imageryStolowe Mountains National Park |
| spellingShingle | Stanisław Burliga Marek Kasprzak Artur Sobczyk Wioletta Niemczyk Geomorphometric and Geophysical Constraints on Outlining Drained Shallow Mountain Mires Geosciences drained mountain mires ground-penetrating radar electrical resistivity tomography LiDAR-based digital terrain model colour-infrared imagery Stolowe Mountains National Park |
| title | Geomorphometric and Geophysical Constraints on Outlining Drained Shallow Mountain Mires |
| title_full | Geomorphometric and Geophysical Constraints on Outlining Drained Shallow Mountain Mires |
| title_fullStr | Geomorphometric and Geophysical Constraints on Outlining Drained Shallow Mountain Mires |
| title_full_unstemmed | Geomorphometric and Geophysical Constraints on Outlining Drained Shallow Mountain Mires |
| title_short | Geomorphometric and Geophysical Constraints on Outlining Drained Shallow Mountain Mires |
| title_sort | geomorphometric and geophysical constraints on outlining drained shallow mountain mires |
| topic | drained mountain mires ground-penetrating radar electrical resistivity tomography LiDAR-based digital terrain model colour-infrared imagery Stolowe Mountains National Park |
| url | https://www.mdpi.com/2076-3263/13/2/43 |
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