Carbon accumulation rates in two poor fens with different water regimes: Influence of anthropogenic impact and environmental change

Fens are underestimated carbon sinks. Knowledge about their role in the sequestration of CO2 in the past is limited. The research reported here focused on identifying long-term carbon accumulation rates (CARs) in a drained fen (Bagno Bruch) and a waterlogged fen (Bagno Mikołeska) in southern Poland. On the basis of 210Pb and AMS 14C dates and age–depth modeling, 7000- and 2000-year records of changes in bulk composition and carbon and sulfur content are presented and discussed. Strong human impact is detected, especially in Bagno Bruch. However, minor climatic signals linked to the ‘Little Ice Age’ and to the influence of wind-blown sands are also evident. The sand may have influenced the plant composition, peat accumulation rates (PARs), and CARs, in addition to the bulk composition at Bagno Mikołeska. The mean value of the CAR in the youngest peat layers spanning the last 200 years is generally lower in two cores from Bagno Bruch ( c. 85 and 86 g/m2/yr) than in two cores from Bagno Mikołeska ( c. 140 and 142 g/m2/yr). The fens are characterized by higher CARs compared with boreal peatlands. The reproducibility of the CAR values is the most promising result, suggesting the low mobility of 210Pb and the reliability of this method in assessing the chronology of fens.

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Local Spatial Heterogeneity of Holocene Carbon Accumulation throughout the Peat Profile of an Ombrotrophic Northern Minnesota Bog

Radiocarbon ◽

10.1017/rdc.2018.37 ◽

2018 ◽

Vol 60 (3) ◽

pp. 941-962 ◽

Cited By ~ 5

Author(s):

Karis J McFarlane ◽

Paul J Hanson ◽

Colleen M Iversen ◽

Jana R Phillips ◽

Deanne J Brice

Keyword(s):

Spatial Heterogeneity ◽

Carbon Accumulation ◽

Experimental Warming ◽

Accumulation Rates ◽

Boreal Peatlands ◽

Aerobic Decomposition ◽

Peat Profile ◽

Carbon Accumulation Rates ◽

Plot Location

ABSTRACTWe evaluated the spatial heterogeneity of historical carbon accumulation rates in a forested, ombrotrophic bog in Minnesota to aid understanding of responses to an ongoing decade-long warming manipulation. Eighteen peat cores indicated that the bog has been accumulating carbon for over 11,000 years, to yield 176±40 kg C m−2 to 225±58 cm of peat depth. Estimated peat basal ages ranged from 5100 to 11,100 cal BP. The long-term apparent rate of carbon accumulation over the entire peat profile was 22±2 kg C m−2 yr−1. Plot location within the study area did not affect carbon accumulation rates, but estimated basal ages were younger in profiles from plots closer to the bog lagg and farther from the bog outlet. In addition, carbon accumulation varied considerably over time. Early Holocene net carbon accumulation rates were 30±6 g C m−2 yr−1. Around 3300 calendar BP, net carbon accumulation rates dropped to 15±8 g C m−2 yr−1 until the last century when net accumulation rates increased again to 74±57 g C m−2 yr−1. During this period of low accumulation, regional droughts may have lowered the water table, allowing for enhanced aerobic decomposition and making the bog more susceptible to fire. These results suggest that experimental warming treatments, as well as a future warmer climate may reduce net carbon accumulation in peat in this and other southern boreal peatlands. Furthermore, our we caution against historical interpretations extrapolated from one or a few peat cores.

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Estimating Long-Term Carbon Accumulation Rates in Boreal Peatlands by Radiocarbon Dating

Radiocarbon ◽

10.1017/s0033822200031064 ◽

1995 ◽

Vol 37 (2) ◽

pp. 575-584 ◽

Cited By ~ 35

Author(s):

Atte Korhola ◽

Kimmo Tolonen ◽

Jukka Turunen ◽

Högne Jungner

Keyword(s):

Carbon Accumulation ◽

Accumulation Rates ◽

Raised Bog ◽

Constant Input ◽

Wetland Type ◽

Land Uplift ◽

Radiocarbon Dates ◽

Boreal Peatlands ◽

Carbon Accumulation Rates

We used direct radiocarbon dates of peat samples, pollen dates and land-uplift chronology from >1300 cores comprising all or most of the Holocene in the boreal region of Finland, Estonia and Maine (USA) to obtain long-term carbon accumulation rates for boreal peatlands. The “apparent” long-term rate of carbon accumulation (LORCA; g C m−2 a−1) ranged from 4.6 to 85.8 (mean 19.9 ± 10.7), depending on the geographical location, wetland type and the age of the mire. The “true” or “actual” rate of carbon accumulation (ARCA), as derived from models for peatbog growth, was usually ca. 70% of LORCA. We studied the raised bog Reksuo more intensely in terms of growth dynamics, and we report preliminary results of the “three-dimensional” or spatial carbon accumulation rates. These results strongly contradict the concept of constant input and constant decay throughout the millennia. The study emphasizes the importance of exploring the formation and dynamics of entire mire ecosystems, and the role of carbon in these systems, in addition to studying single cores.

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Carbon accumulation rates of Holocene peatlands in central-eastern Europe document the driving role of human impact for the past 4000 years

10.5194/cp-2021-65 ◽

2021 ◽

Author(s):

Jack Longman ◽

Daniel Veres ◽

Aritina Haliuc ◽

Walter Finsinger ◽

Vasile Ersek ◽

...

Keyword(s):

Eastern Europe ◽

Human Impact ◽

Anthropogenic Impact ◽

Carbon Sink ◽

Carbon Accumulation ◽

Accumulation Rates ◽

Central Eastern Europe ◽

Central Eastern ◽

Carbon Accumulation Rates

Abstract. Peatlands are one of the largest terrestrial carbon sinks on the planet, yet little is known about carbon accumulation rates (CARs) of mountainous examples. The long-term variability in the size of the associated carbon sink and its drivers remain largely unconstrained, especially when long-term anthropogenic impact is also considered. Here we present a composite CAR record of nine peatlands from central-eastern Europe (Romania and Serbia) detailing variability in rates of carbon accumulation across the Holocene. We show examples of extremely high long-term rates of carbon accumulation (LORCA > 120 g C m−2 yr−1), indicating that at times, mountain peatlands constitute an efficient regional carbon sink. By comparing our data to modelled palaeoclimatic indices and to measures of anthropogenic impact we disentangle the drivers of peat carbon accumulation in the area. Variability in early and mid-Holocene CARs is linked to hydroclimatic controls, with high CARs occurring during the early Holocene and lower CARs associated with the transition to cooler and moister mid-Holocene conditions. By contrast, after 4000 years (calibrated) before present (yr BP) the trends in CARs indicate a divergence from hydroclimate proxies, indicating that other processes became the dominant drivers of peat CARs. We suggest that enhanced erosion following tree cover reduction as well as enhanced rates of long-distance atmospheric dust fallout might have played a role as both processes would result in enhanced mineral and nutrient supply to bog surfaces, stimulating peat land productivity. Surprisingly though, for the last 1000 years, reconstructed temperature is significantly correlated with CARs, with rising temperatures linked to higher CARs. We suggest under future climate conditions, predicted to be warmer in the region, peat growth may expand, but that this is entirely dependent upon the scale of human impact directly affecting the sensitive hydrological budget of these peatlands.

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Misinterpreting carbon accumulation rates in records from near-surface peat

Scientific Reports ◽

10.1038/s41598-019-53879-8 ◽

2019 ◽

Vol 9 (1) ◽

Cited By ~ 7

Author(s):

Dylan M. Young ◽

Andy J. Baird ◽

Dan J. Charman ◽

Chris D. Evans ◽

Angela V. Gallego-Sala ◽

...

Keyword(s):

Land Use ◽

Land Use Policy ◽

Carbon Accumulation ◽

Accumulation Rates ◽

Near Surface ◽

Carbon Accumulation Rates ◽

Surface Peat ◽

Land Use Practices ◽

Over Time

AbstractPeatlands are globally important stores of carbon (C) that contain a record of how their rates of C accumulation have changed over time. Recently, near-surface peat has been used to assess the effect of current land use practices on C accumulation rates in peatlands. However, the notion that accumulation rates in recently formed peat can be compared to those from older, deeper, peat is mistaken – continued decomposition means that the majority of newly added material will not become part of the long-term C store. Palaeoecologists have known for some time that high apparent C accumulation rates in recently formed peat are an artefact and take steps to account for it. Here we show, using a model, how the artefact arises. We also demonstrate that increased C accumulation rates in near-surface peat cannot be used to infer that a peatland as a whole is accumulating more C – in fact the reverse can be true because deep peat can be modified by events hundreds of years after it was formed. Our findings highlight that care is needed when evaluating recent C addition to peatlands especially because these interpretations could be wrongly used to inform land use policy and decisions.

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Carbon accumulation rates of Holocene peatlands in central–eastern Europe document the driving role of human impact over the past 4000 years

Climate of the Past ◽

10.5194/cp-17-2633-2021 ◽

2021 ◽

Vol 17 (6) ◽

pp. 2633-2652

Author(s):

Jack Longman ◽

Daniel Veres ◽

Aritina Haliuc ◽

Walter Finsinger ◽

Vasile Ersek ◽

...

Keyword(s):

Eastern Europe ◽

Human Impact ◽

Anthropogenic Impact ◽

Carbon Sink ◽

Carbon Accumulation ◽

Accumulation Rates ◽

Central Eastern Europe ◽

Central Eastern ◽

Carbon Accumulation Rates

Abstract. Peatlands are one of the largest terrestrial carbon sinks on the planet, yet little is known about the carbon accumulation rates (CARs) of mountainous peatlands. The long-term variability in the size of the associated carbon sink and its drivers remain largely unconstrained, especially when the long-term anthropogenic impact is also considered. Here, we present a composite CAR record of nine peatlands from central–eastern Europe (Romania and Serbia) detailing variability in the rates of carbon accumulation during the Holocene. We show examples of extremely high long-term rates of carbon accumulation (LORCA>120 gCm-2yr-1), indicating that mountain peatlands constitute an efficient regional carbon sink at times. By comparing our data to modelled palaeoclimatic indices and to measures of anthropogenic impact we disentangle the drivers of peat carbon accumulation in the area. Variability in early- and mid-Holocene CARs is linked to hydroclimatic controls, with high CARs occurring during the early Holocene and lower CARs associated with the transition to cooler and moister mid-Holocene conditions. By contrast, after 4000 years (calibrated) before present (years BP), the trends in CARs indicate a divergence from hydroclimate proxies, suggesting that other processes became the dominant drivers of peat CARs. We propose that enhanced erosion following tree cover reduction as well as increased rates of long-distance atmospheric dust fallout might have played a role, as both processes would result in enhanced mineral and nutrient supply to bog surfaces, stimulating peatland productivity. Surprisingly though, for the last 1000 years, reconstructed temperature is significantly correlated with CARs, with rising temperatures linked to higher CARs. Under future climate conditions, which are predicted to be warmer in the region, we predict that peat growth may expand but that this is entirely dependent upon the scale of human impact directly affecting the sensitive hydrological budget of these peatlands.

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Long-term dynamics and destruction of marsh vegetation in the Kolokolkova Bay of the Barents Sea

Vegetation of Russia ◽

10.31111/vegrus/2012.21.66 ◽

2012 ◽

pp. 66-77 ◽

Cited By ~ 4

Author(s):

I. A. Lavrinenko ◽

O. V. Lavrinenko ◽

D. V. Dobrynin

Keyword(s):

Species Composition ◽

Plant Communities ◽

Barents Sea ◽

Mean Value ◽

Marsh Vegetation ◽

Composition And Structure ◽

The Mean ◽

Species Composition And Structure

The satellite images show that the area of marshes in the Kolokolkova bay was notstable during the period from 1973 up to 2011. Until 2010 it varied from 357 to 636 ha. After a severe storm happened on July 24–25, 2010 the total area of marshes was reduced up to 43–50 ha. The mean value of NDVI for studied marshes, reflecting the green biomass, varied from 0.13 to 0.32 before the storm in 2010, after the storm the NDVI decreased to 0.10, in 2011 — 0.03. A comparative analysis of species composition and structure of plant communities described in 2002 and 2011, allowed to evaluate the vegetation changes of marshes of the different topographic levels. They are following: a total destruction of plant communities of the ass. Puccinellietum phryganodis and ass. Caricetum subspathaceae on low and middle marches; increasing role of halophytic species in plant communities of the ass. Caricetum glareosae vic. Calamagrostis deschampsioides subass. typicum on middle marches; some changes in species composition and structure of plant communities of the ass. Caricetum glareosae vic. Calamagrostis deschampsioides subass. festucetosum rubrae on high marches and ass. Parnassio palustris–Salicetum reptantis in transition zone between marches and tundra without changes of their syntaxonomy; a death of moss cover in plant communities of the ass. Caricetum mackenziei var. Warnstorfia exannulata on brackish coastal bogs. The possible reasons of dramatic vegetation dynamics are discussed. The dating of the storm makes it possible to observe the directions and rates of the succession of marches vegetation.

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Carbon accumulation rates recorded in the last 150 years in tropical high mountain peatlands of the Atlantic Rainforest, SE - Brazil

The Science of The Total Environment ◽

10.1016/j.scitotenv.2016.11.076 ◽

2017 ◽

Vol 579 ◽

pp. 439-446 ◽

Cited By ~ 4

Author(s):

Lúcio F. Lourençato ◽

Pedro P. Caldeira ◽

Marcelo C. Bernardes ◽

Andressa C. Buch ◽

Daniel C. Teixeira ◽

...

Keyword(s):

Carbon Accumulation ◽

Atlantic Rainforest ◽

High Mountain ◽

Accumulation Rates ◽

Se Brazil ◽

Carbon Accumulation Rates ◽

Mountain Peatlands

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14C Release in Various Chemical Forms With Gaseous Effluents From the Paks Nuclear Power Plant

Radiocarbon ◽

10.1017/s0033822200012352 ◽

1989 ◽

Vol 31 (03) ◽

pp. 754-761 ◽

Cited By ~ 26

Author(s):

Ede Hertelendi ◽

György Uchrin ◽

Peter Ormai

Keyword(s):

Power Plant ◽

Nuclear Power Plant ◽

Nuclear Power ◽

Liquid Scintillation ◽

Mean Value ◽

Scintillation Counting ◽

Pressurized Water ◽

The Mean ◽

Water Reactors

We present results of airborne 14C emission measurements from the Paks PWR nuclear power plant. Long-term release of 14C in the form of carbon dioxide or carbon monoxide and hydrocarbons were simultaneously measured. The results of internal gas-proportional and liquid scintillation counting agree well with theoretical assessments of 14C releases from pressurized water reactors. The mean value of the 14C concentration in discharged air is 130Bqm-3 and the normalized release is equal to 740GBq/GWe · yr. > 95% of 14C released is in the form of hydrocarbons, ca 4% is apportioned to CO2, and <1% to CO. Tree-ring measurements were also made and indicated a minute increase of 14C content in the vicinity of the nuclear power plant.

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A SLR Pre-Processing Algorithm Based on Satellite Signature Effect

Applied Sciences ◽

10.3390/app11198880 ◽

2021 ◽

Vol 11 (19) ◽

pp. 8880

Author(s):

Bowen Guan ◽

Cunbo Fan ◽

Ning An ◽

Ricardo Cesar Podesta ◽

Dra Ana Pacheco ◽

...

Keyword(s):

Mean Value ◽

Observation Data ◽

Short Term ◽

Error Sources ◽

Effect Model ◽

The Mean ◽

The Stability ◽

First Time ◽

Satellite Signature Effect

As one of the major error sources, satellite signature effect should be reduced or even erased from the distribution of the post-fit residuals to improve the ranging precision. A simulation of satellite signature effect removal process for normal point algorithm is conducted based on a revised model of satellite response, which fully considers the structural and distribution characteristics of retroreflectors. In order to eliminate both long-term and short-term satellite signature effect, a clipping method for SLR data processing is proposed by defining the clipping location as 5.6 mm away from the mean value of the long-term fit residuals to select effective returns for normal points. The results indicate that, compared to normal points algorithm, the RMS per NP of LAGEOS-1 observation data processed by the clipping method is reduced from 62.90 ± 9.9 mm to 56.07 ± 4.69 mm, and the stability of RMS is improved 53%. This study improves the satellite signature effect model and simulates the fluctuation of normal points caused by satellite signature effect for the first time. The new method based on the simulation of satellite signature effect has stronger robustness and applicability, which can further minimize the influence of satellite signature effect on the SLR production and significantly improve the data property.

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