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Gios E, Verbruggen E, Audet J, Burns R, Butterbach-Bahl K, Espenberg M, Fritz C, Glatzel S, Jurasinski G, Larmola T, Mander Ü, Nielsen C, Rodriguez AF, Scheer C, Zak D, Silvennoinen HM. Unraveling microbial processes involved in carbon and nitrogen cycling and greenhouse gas emissions in rewetted peatlands by molecular biology. BIOGEOCHEMISTRY 2024; 167:609-629. [PMID: 38707517 PMCID: PMC11068585 DOI: 10.1007/s10533-024-01122-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 01/22/2024] [Indexed: 05/07/2024]
Abstract
Restoration of drained peatlands through rewetting has recently emerged as a prevailing strategy to mitigate excessive greenhouse gas emissions and re-establish the vital carbon sequestration capacity of peatlands. Rewetting can help to restore vegetation communities and biodiversity, while still allowing for extensive agricultural management such as paludiculture. Belowground processes governing carbon fluxes and greenhouse gas dynamics are mediated by a complex network of microbial communities and processes. Our understanding of this complexity and its multi-factorial controls in rewetted peatlands is limited. Here, we summarize the research regarding the role of soil microbial communities and functions in driving carbon and nutrient cycling in rewetted peatlands including the use of molecular biology techniques in understanding biogeochemical processes linked to greenhouse gas fluxes. We emphasize that rapidly advancing molecular biology approaches, such as high-throughput sequencing, are powerful tools helping to elucidate the dynamics of key biogeochemical processes when combined with isotope tracing and greenhouse gas measuring techniques. Insights gained from the gathered studies can help inform efficient monitoring practices for rewetted peatlands and the development of climate-smart restoration and management strategies. Supplementary Information The online version contains supplementary material available at 10.1007/s10533-024-01122-6.
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Affiliation(s)
- Emilie Gios
- NINA, Norwegian Institute for Nature Research, PO Box 5685, Torgarden, NO-7485 Trondheim, Norway
| | - Erik Verbruggen
- Plants and Ecosystems Research Group, Department of Biology, University of Antwerp, Universiteitsplein 1, Wilrijk, 2610 Antwerp, Belgium
| | - Joachim Audet
- Department of Ecoscience, Aarhus University, C.F. Møllers Allé, 8000 Aarhus, Denmark
| | - Rachel Burns
- Department of Geosciences and Natural Resource Management, University of Copenhagen, 1350 Copenhagen, Denmark
| | - Klaus Butterbach-Bahl
- Institute of Meteorology and Climate Research, Atmospheric Environmental Research, Karlsruhe Institute of Technology, 82467 Garmisch-Partenkirchen, Germany
- Department of Agroecology, Pioneer Center for Research in Sustainable Agricultural Futures (Land-CRAFT), Aarhus University, 8000 Aarhus, Denmark
| | - Mikk Espenberg
- Department of Geography, Institute of Ecology and Earth Sciences, University of Tartu, 46 St., Vanemuise, 51003 Tartu, Estonia
| | - Christian Fritz
- Aquatic Ecology and Environmental Biology, Radboud Institute for Biological and Environmental Sciences (RIBES), Radboud University, Heyendaalseweg 135, 6525 AJ Nijmegen, The Netherlands
| | - Stephan Glatzel
- Department of Geography and Regional Research, University of Vienna, Althanstraße 14, 1090 Vienna, Austria
| | - Gerald Jurasinski
- Faculty of Agriculture and Environment, Landscape Ecology and Site Evaluation, University of Rostock, Justus-von-Liebig-Weg 6, 18059 Rostock, Germany
- Department of Maritime Systems, Faculty of Interdisciplinary Research, University of Rostock, Albert- Einstein-Straße 3, 18059 Rostock, Germany
| | - Tuula Larmola
- Natural Resources Institute Finland (Luke), 00790 Helsinki, Finland
| | - Ülo Mander
- Department of Geography, Institute of Ecology and Earth Sciences, University of Tartu, 46 St., Vanemuise, 51003 Tartu, Estonia
| | - Claudia Nielsen
- Department of Agroecology, Faculty of Technical Sciences, Aarhus University, Blichers Alle 20, 8830 Tjele, Denmark
- CBIO, Centre for Circular Bioeconomy, Aarhus University, 8830 Tjele, Denmark
| | - Andres F. Rodriguez
- Department of Agroecology, Faculty of Technical Sciences, Aarhus University, Blichers Alle 20, 8830 Tjele, Denmark
| | - Clemens Scheer
- Institute of Meteorology and Climate Research, Atmospheric Environmental Research, Karlsruhe Institute of Technology, 82467 Garmisch-Partenkirchen, Germany
| | - Dominik Zak
- Department of Ecoscience, Aarhus University, C.F. Møllers Allé, 8000 Aarhus, Denmark
- Department of Ecohydrology and Biogeochemistry, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Müggelseedamm 301, 12587 Berlin, Germany
| | - Hanna M. Silvennoinen
- NINA, Norwegian Institute for Nature Research, PO Box 5685, Torgarden, NO-7485 Trondheim, Norway
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Unmanned Aircraft System (UAS) Structure-From-Motion (SfM) for Monitoring the Changed Flow Paths and Wetness in Minerotrophic Peatland Restoration. REMOTE SENSING 2022. [DOI: 10.3390/rs14133169] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Peatland restoration aims to achieve pristine water pathway conditions to recover dispersed wetness, water quality, biodiversity and carbon sequestration. Restoration monitoring needs new methods for understanding the spatial effects of restoration in peatlands. We introduce an approach using high-resolution data produced with an unmanned aircraft system (UAS) and supported by the available light detection and ranging (LiDAR) data to reveal the hydrological impacts of elevation changes in peatlands due to restoration. The impacts were assessed by analyzing flow accumulation and the SAGA Wetness Index (SWI). UAS campaigns were implemented at two boreal minerotrophic peatland sites in degraded and restored states. Simultaneously, the control campaigns mapped pristine sites to reveal the method sensitivity of external factors. The results revealed that the data accuracy is sufficient for describing the primary elevation changes caused by excavation. The cell-wise root mean square error in elevation was on average 48 mm when two pristine UAS campaigns were compared with each other, and 98 mm when each UAS campaign was compared with the LiDAR data. Furthermore, spatial patterns of more subtle peat swelling and subsidence were found. The restorations were assessed as successful, as dispersing the flows increased the mean wetness by 2.9–6.9%, while the absolute changes at the pristine sites were 0.4–2.4%. The wetness also became more evenly distributed as the standard deviation decreased by 13–15% (a 3.1–3.6% change for pristine). The total length of the main flow routes increased by 25–37% (a 3.1–8.1% change for pristine), representing the increased dispersion and convolution of flow. The validity of the method was supported by the field-determined soil water content (SWC), which showed a statistically significant correlation (R2 = 0.26–0.42) for the restoration sites but not for the control sites, possibly due to their upslope catchment areas being too small. Despite the uncertainties related to the heterogenic soil properties and complex groundwater interactions, we conclude the method to have potential for estimating changed flow paths and wetness following peatland restoration.
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