Peatland restoration pathways to mitigate greenhouse gas emissions and retain peat carbon.

Peatlands play a crucial role in the global carbon (C) cycle, making their restoration a key strategy for mitigating greenhouse gas (GHG) emissions and retaining C. This study analyses the most common restoration pathways employed in boreal and temperate peatlands, potentially applicable in tropical peat swamp forests. Our analysis focuses on the GHG emissions and C retention potential of the restoration measures. To assess the C stock change in restored (rewetted) peatlands and afforested peatlands with continuous drainage, we adopt a conceptual approach that considers short-term C capture (GHG exchange between the atmosphere and the peatland ecosystem) and long-term C sequestration in peat. The primary criterion of our conceptual model is the capacity of restoration measures to capture C and reduce GHG emissions. Our findings indicate that carbon dioxide (CO2) is the most influential part of long-term climate impact of restored peatlands, whereas moderate methane (CH4) emissions and low N2O fluxes are relatively unimportant. However, lateral losses of dissolved and particulate C in water can account up to a half of the total C stock change. Among the restored peatland types, Sphagnum paludiculture showed the highest CO2 capture, followed by shallow lakes and reed/grass paludiculture. Shallow lakeshore vegetation in restored peatlands can reduce CO2 emissions and sequester C but still emit CH4, particularly during the first 20 years after restoration. Our conceptual modelling approach reveals that over a 300-year period, under stable climate conditions, drained bog forests can lose up to 50% of initial C content. In managed (regularly harvested) and continuously drained peatland forests, C accumulation in biomass and litter input does not compensate C losses from peat. In contrast, rewetted unmanaged peatland forests are turning into a persistent C sink. The modelling results emphasized the importance of long-term C balance analysis which considers soil C accumulation, moving beyond the short-term C cycling between vegetation and the atmosphere. Supplementary Information: The online version contains supplementary material available at 10.1007/s10533-023-01103-1.

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

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 CO2 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.

Weather Sensitivity of Sugar Bait Trapping of Nocturnal Moths: A Case Study from Northern Europe.

Assemblages of insects need to be quantitatively sampled in the context of various research questions. Light trapping is the most widely used method for sampling nocturnal Lepidoptera. Attracting moths to sugar baits offers a viable alternative. However, this method is rarely used in professional research despite its popularity among amateur lepidopterists. As the activity of insects is strongly dependent on ambient conditions, the sensitivity of any trapping method to weather parameters needs to be known for the quantitative interpretation of trapping results. In the present paper, we report data on the weather dependence of moth catches obtained by automatic bait traps. The study was performed in Estonia, representing the European hemiboreal forest zone. Portable weather stations set up next to each of the traps were used for collecting weather data. Both abundance and diversity of the moths in the catches depended strongly positively on temperature and negatively on air humidity. Diversity was also negatively correlated with air pressure and positively with the change in pressure during the night. The results show that in situ recording of weather parameters in connection to insect trapping provides useful insights for the study of insect behaviour and the interpretation of the results of monitoring projects.

Environmental factors affecting greenhouse gas fluxes of green roofs in temperate zone.

This paper investigates the full seasonal greenhouse gas (GHG) dynamics of fluxes from three green roof systems (lightweight clay aggregate-based green roof - LR; grass roof - GR; sod roof - SR) and natural control site on shallow Leptosol (NC), using closed static chambers in the period April 2014 to December 2015. CO2, CH4 and N2O fluxes are measured and their relationships to meteorological parameters and substrate physicochemical characteristics are quantified. Median CO2 flux values were 21 (LR), 38 (GR), 62 (SR), and 82 (NC) mg CO2-C m-2 h-1. The results show ecosystem respiration (Reco) clearly increased until July and then decreased until November. Net ecosystem CO2 exchange (NEE) was more variable than Reco, depending on plant growth phase and weather conditions. Median NEE values for study period (from April to November 2015) were -7 (LR), -17 (GR), -136 (SR), and -82 (NC) mg CO2-C m-2 h-1. The percentage of autotrophic respiration (Ra) in Reco showed clear rise from LR (35%) to NC (62%). CH4 consumption dominated resulting in median fluxes as follows: -2 (LR), -1 (GR), -15 (SR), and -23 (NC) µg CH4-C m-2 h-1. N2O flux was low and highly variable in time, with median values varying from -0.07 (GR) to 2.18 (NC) µg N2O-N m-2 h-1. During the maximum vegetation growth, NEE exceeded Reco value. Green roofs are effective CH4 sinks, but they do not significantly affect N2O flux. The main environmental factors determining GHG fluxes in linear models were parameters describing moisture regime, meteorological parameters and soil physical characteristics. These models can be used to predict GHG fluxes from similar green roof systems in analogous climatic conditions. We conclude that green roof technology may be used to mitigate excessive ambient GHG levels in urban areas.

Linking atmospheric, terrestrial and aquatic environments: Regime shifts in the Estonian climate over the past 50 years.

Climate change in recent decades has been identified as a significant threat to natural environments and human wellbeing. This is because some of the contemporary changes to climate are abrupt and result in persistent changes in the state of natural systems; so called regime shifts (RS). This study aimed to detect and analyse the timing and strength of RS in Estonian climate at the half-century scale (1966-2013). We demonstrate that the extensive winter warming of the Northern Hemisphere in the late 1980s was represented in atmospheric, terrestrial, freshwater and marine systems to an extent not observed before or after the event within the studied time series. In 1989, abiotic variables displayed statistically significant regime shifts in atmospheric, river and marine systems, but not in lake and bog systems. This was followed by regime shifts in the biotic time series of bogs and marine ecosystems in 1990. However, many biotic time series lacked regime shifts, or the shifts were uncoupled from large-scale atmospheric circulation. We suggest that the latter is possibly due to complex and temporally variable interactions between abiotic and biotic elements with ecosystem properties buffering biotic responses to climate change signals, as well as being affected by concurrent anthropogenic impacts on natural environments.

Author Correction: Nitrogen-rich organic soils under warm well-drained conditions are global nitrous oxide emission hotspots.

The original version of this Article contained an error in the first sentence of the Acknowledgements section, which incorrectly referred to the Estonian Research Council grant identifier as "PUTJD618". The correct version replaces the grant identifier with "PUTJD619". This has been corrected in both the PDF and HTML versions of the Article.

Nitrogen-rich organic soils under warm well-drained conditions are global nitrous oxide emission hotspots.

Nitrous oxide (N2O) is a powerful greenhouse gas and the main driver of stratospheric ozone depletion. Since soils are the largest source of N2O, predicting soil response to changes in climate or land use is central to understanding and managing N2O. Here we find that N2O flux can be predicted by models incorporating soil nitrate concentration (NO3-), water content and temperature using a global field survey of N2O emissions and potential driving factors across a wide range of organic soils. N2O emissions increase with NO3- and follow a bell-shaped distribution with water content. Combining the two functions explains 72% of N2O emission from all organic soils. Above 5 mg NO3--N kg-1, either draining wet soils or irrigating well-drained soils increases N2O emission by orders of magnitude. As soil temperature together with NO3- explains 69% of N2O emission, tropical wetlands should be a priority for N2O management.

Distribution pattern of PCBs, HCB and PeCB using passive air and soil sampling in Estonia.

BACKGROUND, AIM, AND SCOPE: Passive air sampling survey of the Central and Eastern Europe was initiated in 2006. This paper presents data on toxic organic compounds such as polychlorinated biphenyls (PCB 28, 52, 101, 118, 153, 138, and 180), hexachlorobenzene (HCB), pentachlorobenzene (PeCB), hexachlorocyclohexane compounds (alpha-HCH, beta-HCH,gamma-HCH, delta-HCH), and dichloro-diphenyl-trichloroethane (DDT) compounds (p,p'DDE, p,p'DDD, p,p'DDT, o,p'DDE, o,p'DDD, and o,p'DDT) determined in ambient air and soil samples collected at Estonian monitoring stations. MATERIALS AND METHODS: Ambient air and soil samples were collected in five sites in northern Estonia. Passive air samplers were deployed four times over 4-week periods covering the period April-August 2006. Samples were analyzed using gas chromatography-electron capture detector (HP 5890) supplied with a Quadrex fused silica column 5% Ph for organochlorine pesticides (OCPs). Local ground-boundary wind field was modeled for each monitoring station and sampling period on the basis of observed wind data from the nearest meteorological station with a high quality of time series and compared with upper air (at 850- and 500-hPa level) data from Tallinn-Harku aerological station. RESULTS: Median levels of PCB at Estonian stations varied between 3 and 9 ng/filter, although the maximum in Kohtla-Järve reached as high as 28 ng/filter. Sampling rates about 3.5 m(3)/day were determined by empirical measurements, making approximately 100 m(3) for a 28-day sampling cycle. In general, OCP levels in soil were at the limit of detection, except Tallinn site and Muuga Port affected mainly by local sources. However, the atmospheric PCB concentrations are in agreement with the soil analyses where highest PCB levels were found in the soil sample for Tallinn (12.0 ng/g dry weight). For HCB, the atmospheric distribution was quite uniform, with the background levels sometimes higher than the urban ones. HCB and PeCB concentrations were very low in May and June when meridional airflow from the southern sector dominated, and concentrations were slightly higher in July and August, most probably due to revolatilization of adsorbed HCB (with PeCB impurities) from former industrial applications during the summer month and possibly enhanced by forest fires in Russia. Also, the highest summary HCH and DDT levels (63.5 and 2.5 ng/filter, respectively) in Estonian monitoring stations were determined at the end of July and beginning of August when the ground-boundary wind direction was from NE with relatively high speed (4-7 m/s). The highest DDT levels in ambient air (3.5 ng/filter) were determined in the spring samples. For DDT and HCH, long-range atmospheric transport clearly dominates persistent OCP, atmospheric input to Estonia as well as for the Scandinavian countries. The DDE/DDT ratio was >1, indicating no fresh input. DISCUSSION: The passive air sampling demonstrates uniform distribution of OCPs. In the regional context, there is no indication of increased levels of concentrations of OCPs in the industrial Northeast Estonia where the oil shale processing causes certain pollution impacts. Though the passive sampling does not apply for monitoring of short-term fluxes, the method is capable of reflecting background levels in long-term prospective for potential effect on human health due to long-term exposition of OCPs. CONCLUSIONS: PCB and its congeners, HCB, PeCB, HCH, and DDT were very low in Estonia. None of the persistent organochlorine pesticides have ever been produced in Estonia, and as of today, all old OCP stocks in the country have been destroyed. Highest concentrations could be expected in March and April when southwestern airflow is still strong and dominant, but air humidity is lower and deposition takes place far from the place of origin of OCPs. In summer, the share of locally formed organic compounds increases and deposition depends strongly on weather conditions. In some cases in Tallinn and Muuga where local anthropogenic impact occurs, HCB and PeCB stem from revolatilization of industrial application. RECOMMENDATIONS AND PERSPECTIVES: The passive air sampling could be employed more widely to explore long-term human exposure to OCP deposition and assess potential health risks. The survey based on passive air sampling could be extended from Central and Eastern Europe to other European regions to get methodically adjusted cross-European data coverage. Based on the results of the survey, the Lahemaa reference station is a feasible option to represent background monitoring of persistent organic pollutants.