John Couwenberg’s research while affiliated with Universität Greifswald and other places

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Publications (96)


Fig. 1. Cerrado peat locations with vegetation type (this study), extent of peat according to the Global Peatland Map2.0 (GPD, 2022) and organic soils from the pedology compartment of the environmental information database (IBGE, 2021), overview map: Brazilian biomes and main map extent (reddish).
Fig. 2. Soil, vegetation, and hydrological characteristic in cross-sections of valley forms with peat, adapted from Nunes da Cunha et al., 2024; vegetation not to scale. See Box B for description.
Peatlands in the Brazilian Cerrado: insights into knowledge, status and research needs
  • Article
  • Full-text available

August 2024

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324 Reads

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3 Citations

Perspectives in Ecology and Conservation

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Cássia Beatriz Rodrigues Munhoz

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John Couwenberg

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[...]

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Karl Matthias Wantzen

Wetlands play an important role for water, carbon storage and biodiversity in the seasonally dry and hot environments of tropical savannas. Peatlands, which are permanent wetlands, are important as the carbon-richest parts of wetland ecosystems with a strong ability to store carbon, retain water and regulate its flow. With this first review on peatlands in the Cerrado we synthesize existing knowledge and gaps on their distribution and types in the biome including, vegetation, soil properties, carbon stocks and hydrogeomorphology. Peatlands are embedded in wetland complexes in valleys, groundwater-fed oligo- to mesotrophic, with wet grass- and shrubland, Vereda or riparian swamp forest vegetation. Average peat depth is 1.4 meters and soil carbon stocks in the first meter can be 9 times higher than in mineral soils under Cerrado dryland vegetation, reaching about 1000 t carbon per hectare. Total soil carbon stock estimates (3.19 Gt C) in peatlands equal 13.3% of the total soil carbon in the Cerrado in only 0.7% of its total area, although large uncertainties exist. Actual peatland occurrence appears to be more abundant than current soil and peat maps suggest. The high rate of transformation of the native vegetation into industrial agriculture and wood plantations, which affects large parts of the Cerrado, is a major cause for the degradation and the loss of peatlands and other wetlands. However, the extent of peatland degradation and resulting carbon losses remain unfathomed. We identified research needs such as better mapping and monitoring, and recommend including peatlands into wetland classification systems in Brazil.

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Identifying hotspots of greenhouse gas emissions from drained peatlands in the European Union

July 2024

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509 Reads

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1 Citation

Greenhouse gas (GHG) emissions from drained peatlands in the European Union (EU) significantly contribute to the total EU anthropogenic GHG emissions (6%). The lack of high-resolution spatial data in national monitoring systems hampers effective mitigation planning. We present detailed maps of land use, GHG emissions, and emission hotspots for EU peatlands. Results indicate that undrained peatlands and forest lands are prevalent at high latitudes, while grasslands and croplands dominate around latitudes 50°-55°. Three main emission hotspots are identified, all in the North Sea region: South-western England, Western Netherlands, and North-western Germany, accounting for 20% of EU peatland emissions on just 4% of the peatland area. This study highlights the necessity of targeted curbing of emissions from drained peatlands to meet EU climate goals and reveals substantial underreporting of emissions in current National Inventory Submissions to the UNFCCC, amounting to 59-113 Mt CO2-e annually. Our findings provide a crucial basis for policymakers to prioritize peatland rewetting to reduce GHG emissions.


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Plant roots but not hydrology control microbiome composition and methane flux in temperate fen mesocosms

May 2024

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163 Reads

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1 Citation

The Science of The Total Environment

The rewetting of formerly drained peatlands can help to counteract climate change through the reduction of CO 2 emissions. However, this can lead to resuming CH 4 emissions due to changes in the microbiome, favoring CH 4-producing archaea. How plants, hydrology and microbiomes interact as ultimate determinants of CH 4 dynamics is still poorly understood. Using a mesocosm approach, we studied peat microbiomes, below-ground root biomass and CH 4 fluxes with three different water level regimes (stable high, stable low and fluctuating) and four different plant communities (bare peat, Carex rostrata, Juncus inflexus and their mixture) over the course of a growing season. A significant difference in microbiome composition was found between mesocosms with and without plants, while the difference between plant species identity or water regimes was rather weak. A significant difference was also found between the upper and lower peat, with the difference increasing as plants grew. By the end of the growing season, the methanogen relative abundance was higher in the subsoil layer, as well as in the bare peat and C. rostrata pots, as compared to J. inflexus or mixture pots. This was inversely linked to the larger root area of J. inflexus. The root area also negatively correlated with CH 4 fluxes which positively correlated with the relative abundance of methanogens. Despite the absence or low abundance of methanotrophs in many samples, the integration of methanotroph abundance improved the quality of the correlation with CH 4 fluxes, and methanogens and methanotrophs together determined CH 4 fluxes in a structural equation model. However, water regime showed no significant impact on plant roots and methanogens, and consequently, on CH 4 fluxes. This study showed that plant roots determined the microbiome composition and, in particular, the relative abundance of methanogens and methanotrophs, which, in interaction, drove the CH 4 fluxes.


Fig. 2. Site types in Kieve polder and corresponding values used in the GEST, NEST and EEST approaches in the baseline scenario, in the project scenario, and in reality 5 years after rewetting.
Table 2 ).
Quantifying ecosystem services of rewetted peatlands − the MoorFutures methodologies

May 2024

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406 Reads

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6 Citations

Ecological Indicators

In 2011, MoorFutures® were introduced as the first standard for generating credits from peatland rewetting. We developed methodologies to quantify ecosystem services before and after rewetting with a focus on greenhouse gas emissions, water quality, evaporative cooling and mire-typical biodiversity. Both standard and premium approaches to assess these services were developed, and tested in the rewetted polder Kieve (NE-Germany). The standard approaches are default tier 1 estimation procedures, which require little time and few, mainly vegetation data. Based on the Greenhouse gas Emission Site Type (GEST) approach, emissions decreased from 1,306 t CO 2 e in the baseline scenario to 532 t CO 2 e in the project scenario, whereas 5 years after rewetting they were assessed to be 543 t CO 2 e per year. Nitrate release assessed via Nitrogen Emission Site Types (NEST) was estimated to decrease from 1,088 kg N (baseline) to 359 kg N (project), and appeared to be 309 kg N per year 5 years after rewetting. The heat flux − determined with Evapotranspiration Energy Site Types (EEST)-decreased from 6,691 kW (baseline) to 1,926 kW (project), and was 2,250 kW per year 5 years after rewetting. Mire-specific biodiversity was estimated to increase from very low (baseline) to high (project), but was only low 5 years after rewetting. The premium approaches allow quantifying a particular ecosystem service with higher accuracy by measuring or modelling. The approaches presented here have been elaborated for North-Germany but can be adapted for other regions. We encourage scientists to use our research as a model for assessing peatland ecosystem services including biodiversity in other geographical regions. Using vegetation mapping and indicator values derived from meta-analyses is a cost-efficient and robust approach to inform payment for ecosystem services schemes and to support conservation planning at regional to global scales.


Active afforestation of drained peatlands is not a viable option under the EU Nature Restoration Law

May 2024

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523 Reads

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9 Citations

AMBIO A Journal of the Human Environment

The EU Nature Restoration Law (NRL) is critical for the restoration of degraded ecosystems and active afforestation of degraded peatlands has been suggested as a restoration measure under the NRL. Here, we discuss the current state of scientific evidence on the climate mitigation effects of peatlands under forestry. Afforestation of drained peatlands without restoring their hydrology does not fully restore ecosystem functions. Evidence on long-term climate benefits is lacking and it is unclear whether CO 2 sequestration of forest on drained peatland can offset the carbon loss from the peat over the long-term. While afforestation may offer short-term gains in certain cases, it compromises the sustainability of peatland carbon storage. Thus, active afforestation of drained peatlands is not a viable option for climate mitigation under the EU Nature Restoration Law and might even impede future rewetting/restoration efforts. Instead, restoring hydrological conditions through rewetting is crucial for effective peatland restoration.


Author Correction: Prompt rewetting of drained peatlands reduces climate warming despite methane emissions

April 2024

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144 Reads


Section of the simulated study landscape, with Lake Woseriner See as the regional site and eight artificially added small sites south and west of the lake (red dots). The southern group is close to the Dobbin study area. The underlying map pattern is derived from the digital soil map BÜK200. See Table 1 for the vegetation composition of each soil unit.
Results of local vegetation reconstruction with LOVEcmd, LOVEr and LOVEoptim using simulated pollen data and study sites of different diameters (10, 50, 100, 200 m). For each diameter, two sites were studied, one from the western, one from southern group (see Figure 1). The upper plots show diagnostic parameters, i.e., the number of outliers in LOVEr (right hand y-axis), the difference between the modeled and true pollen composition after optimization (best-value) in LOVEoptim and the goodness-of-fit between reconstructed and true local vegetation composition determined as the RMSE (left hand y-axis). The lower plots, as an example, show the true cover and the reconstructed cover values for the site ‘Pond10mS’. Note the logarithmic scaling of the x-axis.
Vegetation composition assigned to each map unit in the simulations (unit 1 = lakes).
Fall speed of pollen and relative pollen productivity estimates used in the present simulations.
LOVE Is in the R—Two R Tools for Local Vegetation Reconstruction

March 2024

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181 Reads

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2 Citations

Pollen deposition in small lakes and peatlands is composed of local pollen deposition arriving from the nearby vegetation and of regional pollen deposition arriving from farther away. The LOVE model aims to reconstruct past vegetation on a small local scale by extracting only the local pollen signal. To this end, pollen deposition from small sites is related to pollen deposition from large lakes with predominantly regional pollen deposition. We here present a new implementation of the LOVE model in the R environment for statistical computing that is more user friendly than existing implementations. It allows more readily application with fossil pollen data and facilitates extensive testing of the approach in simulated landscapes. The LOVE model derives from critical mathematical assumptions that strongly limit its application. We additionally present LOVEoptim as an adjusted approach to local-scale reconstructions. Other than in LOVE, past local plant abundances are approximated using numerical optimization. Tests in a simulated landscape, which is based on true landscape patterns from digital maps, show that both approaches are valid. Due to fewer mathematical assumptions, LOVEoptim is more widely applicable. The modeling results help to better interpret the spatial scale of vegetation reflected in LOVE/LOVEoptim reconstructions.



Map of Polder Zarnekow‐Upost and satellite images showing the study area with the inundated (red dot) and non‐inundated measurement site (green dot); Satellite images and pictures represent conditions at the study area prior to rewetting (2004) and 2, 11 and 14 years after rewetting, respectively. S1 and S2 show sampling points for sediment thickness and carbon stocks in 2011 (Table S5) and 2020 (Table S6). The squared area on S1 indicates approximate location of sediment sampling done by Hahn‐Schöfl et al. (2011). Map lines delineate study areas and do not necessarily depict accepted national boundaries.
Time series of environmental variables: mean daily (red line above, blue line below 0°C) and monthly (black line) air temperature (a); daily cumulative precipitation per year (blue line), water level (WL) at the inundated (blue line above, red line below surface), and non‐inundated site (dashed blue line above, dashed red line below surface) (b); in the top right corner is shown mean annual air temperature (a) and mean annual precipitation (b) for the period 2004–2017 (b); temporal dynamics (c, d) of measured (purple dots) and interpolated (purple line) daily methane (CH4) fluxes (CH4‐C g m⁻² day⁻¹) at the non‐inundated (c) and inundated (d) study sites. Change in dominant vegetation cover at the inundated site is described in the figure (d) header: I—grassland, II—floating hydrophytes, III—submerged hydrophytes, and IV—helophytes.
Annual vegetation maps of the study area displaying spatio‐temporal dynamics of the different dominant vegetation types from 2013 to 2020. The white dot indicated the location of the measurement site.
Correlation of annual methane (CH4) emissions (g CH4‐C m⁻² year⁻¹) with environmental variables (a) water level (WL) and (b) temperature; (c) average annual CH4 emissions for the non‐inundated site and different transitional stages of the inundated site (width of bars indicates measurement years of each transitional stage): error bars indicate ±SD; (d) principal component analysis (PCA) of 26 measurement years (14 on inundated and 12 on non‐inundated measurement site), displaying eigenvectors and PC scores in the plane of principal components 1 and 2. Measurement years cluster into different transitional stages. The variance in‐between transitional stages is explained by environmental conditions (PC1; e.g., WL and CH4), while the variance within a transitional stage is largely explained by weather conditions (PC2; e.g., precipitation and air temperature).
1:1‐agreement plot between interpolated (measured) and predicted (LMM) annual methane (CH4) emissions at the inundated and non‐inundated site. The LMM consists of a quadratic fixed term for WL and a linear random (intercept and slope) term for temperature (Figure 4). Symbols are color coded and shaped according to the different transitional stages. The black line shows 1:1 agreement and the dashed gray line the correlation between interpolated and predicted annual CH4 emissions. Error bars indicate the estimated error (interpolated CH4 emissions) and the standard error from the fitted LMM (predicted CH4 emissions).
The unexpected long period of elevated CH4 emissions from an inundated fen meadow ended only with the occurrence of cattail (Typha latifolia)

April 2023

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358 Reads

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14 Citations

Drainage and agricultural use transform natural peatlands from a net carbon (C) sink to a net C source. Rewetting of peatlands, despite of high methane (CH4) emissions, holds the potential to mitigate climate change by greatly reducing CO2 emissions. However, the time span for this transition is unknown because most studies are limited to a few years. Especially, nonpermanent open water areas often created after rewetting, are highly productive. Here, we present 14 consecutive years of CH4 flux measurements following rewetting of a formerly long‐term drained peatland in the Peene valley. Measurements were made at two rewetted sites (non‐inundated vs. inundated) using manual chambers. During the study period, significant differences in measured CH4 emissions occurred. In general, these differences overlapped with stages of ecosystem transition from a cultivated grassland to a polytrophic lake dominated by emergent helophytes, but could also be additionally explained by other variables. This transition started with a rapid vegetation shift from dying cultivated grasses to open water floating and submerged hydrophytes and significantly increased CH4 emissions. Since 2008, helophytes have gradually spread from the shoreline into the open water area, especially in drier years. This process was periodically delayed by exceptional inundation and eventually resulted in the inundated site being covered by emergent helophytes. While the period between 2009 and 2015 showed exceptionally high CH4 emissions, these decreased significantly after cattail and other emergent helophytes became dominant at the inundated site. Therefore, CH4 emissions declined only after 10 years of transition following rewetting, potentially reaching a new steady state. Overall, this study highlights the importance of an integrative approach to understand the shallow lakes CH4 biogeochemistry, encompassing the entire area with its mosaic of different vegetation forms. This should be ideally done through a study design including proper measurement site allocation as well as long‐term measurements.



Citations (78)


... Although we find that peatlands are much scarcer and shallower throughout the study area than the Global Wetland Map predicts [16], we are able to corroborate its authors' general conclusion-that peatlands are more widespread in the interior of tropical South America than is widely understood. Peatlands were previously documented in the Amazon of Colombia [43,44] and Peru [24,62,67,68], but the occurrence of peatlands in the highly seasonal savanna ecoregion of the Llanos Orientales greatly extends our understanding of geographic range and environmental conditions under which peatlands can form and persist in the neotropics (though we note savanna peatlands from Venezuela, Brazil and Bolivia documented in the paleoecology literature [69][70][71]). The many wet white-sand peatlands we encountered near the Venezuelan border in the Guainía department (figure 1(C)) confirms peat presence in a region where peatlands have been predicted but had not been previously documented Figure 5. Map of peatland density in the Colombian lowlands as predicted by a Random Forest algorithm trained with our field observations as well as other previously published observations of peat and non-peat soils (figure S7) and using multiple remote sensing products, such as Copernicus Sentinel-1 and −2 and PALSAR2 (see Methods). ...

Reference:

Widespread carbon-dense peatlands in the Colombian lowlands
Peatlands in the Brazilian Cerrado: insights into knowledge, status and research needs

Perspectives in Ecology and Conservation

... Peatlands are formed by the long-term accumulation of organic matter made of slowly decaying biomass under exclusion of air due to high water levels [1][2][3] . Covering about 3% of the global land area 4 , peatlands store an estimated 21 to 44% of the carbon sequestered in soils 5 and large amounts of nutrients 6 . Peatlands are also known to provide various ecosystem services, playing a crucial role in water regulation, and maintaining biodiversity 2,7,8 . ...

Quantifying ecosystem services of rewetted peatlands − the MoorFutures methodologies

Ecological Indicators

... To assess and quantify the biodiversity damage from anthropogenic actions shall become the binding sanction on their economic benefits and repayment in the form of contribution to a long-term biodiversity reconstruction. Another strategy by selected EU member states adopting is restoration of degraded peatlands because it releases a large amount of GHG (Jurasinski et al., 2024). The policy and practice needs adequate definition and actionable steps with respect to ecological restoration as a concept at the EU and national spaces. ...

Active afforestation of drained peatlands is not a viable option under the EU Nature Restoration Law

AMBIO A Journal of the Human Environment

... The new generation of palynologists are increasingly familiar with coding, using the packages rioja (Juggins, 2024) and vegan (Oksanen et al., 2024), to present and analyse pollen data within RStudio. The LRA can now be completed within the R environment (Theuerkauf and Couwenberg, 2024), and it is anticipated that the MSA will soon follow suit. Key parameters for application of the LRA and the MSA, namely, relative pollen productivity estimates and fall speed for the major pollen taxa, are now available for all regions of Europe (Wieczorek and Herzschuh, 2020). ...

LOVE Is in the R—Two R Tools for Local Vegetation Reconstruction

... All in all, this suggests that multiple water management strategies can be applied. Boonman et al. (2022) propose to keep GL between 20 and 30 cm below the surface to prevent accidental flooding, while Antonijević et al. (2023) provide initial evidence that CH 4 -emissions from inundated fields can be reduced dramatically by cultivating CH 4 -oxidizing plant species, such as cattail and sedge. ...

The unexpected long period of elevated CH4 emissions from an inundated fen meadow ended only with the occurrence of cattail (Typha latifolia)

... Covering about 3% of the global land area 4 , peatlands store an estimated 21 to 44% of the carbon sequestered in soils 5 and large amounts of nutrients 6 . Peatlands are also known to provide various ecosystem services, playing a crucial role in water regulation, and maintaining biodiversity 2,7,8 . ...

Saving soil carbon, greenhouse gas emissions, biodiversity and the economy: paludiculture as sustainable land use option in German fen peatlands

Regional Environmental Change

... Thus, the variable is represented by binarization of a rather complex allogenic process in our models, however, peatland mosses also have adaptations to retain moisture in order to withstand periods of drier conditions (Rydin & Jeglum, 2013;Vitt & Wieder, 2008). Peatland ecosystems overall are capable of buffering for droughts or disturbance to some extent, for example, through local microclimate and hydrological buffering (Campbell et al., 2021) and self-regulation mechanisms that help compensate for regional climate influence on the bog by keeping water fluctuations stable (Couwenberg et al., 2022), which to a large extent depend on the type of vegetation in the peat composition. ...

From genes to landscapes: Pattern formation and self‐regulation in raised bogs with an example from Tierra del Fuego

... Organic soils store about 25% of global soil carbon on only 3% of the Earth's land surface 1 . However, during the 20th century organic soils faced largescale anthropogenic alteration, with 15% of organic soils worldwide being drained to repurpose the land mainly for agricultural use 2 . ...

Peatlands mapping and monitoring – Recommendations and technical overview. Rome.

... Rewetting of peatlands is regarded as one of the most effective measures to mitigate greenhouse gas emissions from land use, land use change [14][15][16][17] and to restore the water retention function in the watershed 18,19 . In topogenic fenlands, i.e. those that would form due to the topography of the landscape, as they prevail in the northeast federal states of Germany, raising water tables induces the establishment of tall, graminoid wetland plants 20 such as reed canary grass (Phalaris arundinacea), broad-leafed cattail (Typha latifolia), common reed (Phragmites australis), tall sedges (Carex spec.) and rushes (Juncus spec.) [20][21][22] . ...

Rewetting does not return drained fen peatlands to their old selves

... Pollen size data are important for community and functional ecology, evolutionary biology, macroecology or paleobotany for distinguishing species, quantifying species abundance, exploring and predicting spatial and temporal species distributions, as well as gaining a detailed understanding of underlying ecological and evolutionary processes (Mäkelä, 1996;Cruden, 2000;Sork et al., 2002;Borrell, 2012;Theuerkauf & Couwenberg, 2022;Wei et al., 2023). Also, informing the public about allergenic airborne pollen relies on pollen size data that are one parameter for modeling airborne pollen transport (i.e. ...

Pollen productivity estimates strongly depend on assumed pollen dispersal II: Extending the ERV model

The Holocene