Abstract:Peatland ecosystems have been consistent carbon (C) sinks for millennia, but it has been predicted that exposure to warmer temperatures and drier conditions associated with climate change will shift the balance between ecosystem photosynthesis and respiration providing a positive feedback to atmospheric CO 2 concentration. Our main objective was to determine the sensitivity of ecosystem photosynthesis, respiration and net ecosystem production (NEP) measured by eddy covariance, to variation in temperature and w… Show more
“…However, the steady state of total carbon for the first 100 years following 40-cm water table decline was consistent with Sulman and others (2009) and Flanagan and Syed (2011), who observed no change in NEE over short time scales following drainage of that magnitude in peatlands. In simulations that included only soil effects, the model did predict substantial losses of carbon for both depths of water table decline, indicating that the major difference between our simulations and short-term, soil-focused studies was the inclusion of plant community changes.…”
Section: Discussionsupporting
confidence: 89%
“…Increased plant growth resulting from declining water table has been observed in field studies over inter-annual time scales (Sulman and others 2009;Flanagan and Syed 2011), although Strack and others (2006) observed variations in the response between hummock, hollow, and lawn microforms. Wetland succession studies over decadal time scales have observed large increases in biomass as sedge, shrub, or moss-dominated wetland landscapes are converted to forest (Laine and others 1995;Laiho and others 2003).…”
Section: Discussionmentioning
confidence: 97%
“…These regions also include significant areas of forested wetlands without thick peat layers, which contribute significantly to the regional carbon cycle. Because peat accumulation and preservation depends on anaerobic soil conditions resulting from high water tables, changes in water table affect CO 2 emissions, and peat decomposition rates (Moore and Knowles 1989;Freeman and others 1992;Junkunst and Fiedler 2007;Yurova and others 2007;Sulman and others 2009;Olivas and others 2010;Flanagan and Syed 2011). Some peatland modeling studies have identified significant positive feedbacks to climate warming due to increased peat decomposition (for example, Tarnocai 2006;Ise and others 2008).…”
Section: Introductionmentioning
confidence: 99%
“…Some peatland modeling studies have identified significant positive feedbacks to climate warming due to increased peat decomposition (for example, Tarnocai 2006;Ise and others 2008). However, field and laboratory studies suggest that hydrological change also leads to changes in plant communities (Laine and others 1995;Weltzin and others 2003;Strack and others 2006;Talbot and others 2010), which can significantly affect the net CO 2 budget over the short term (Sulman and others 2009;Flanagan and Syed 2011). Studies of long-term responses to drainage have highlighted the importance of aboveground carbon accumulation, which in some cases can outweigh the loss of carbon from increased peat decomposition (Minkkinen and Laine 1998;Lohila and others 2011).…”
Peatlands and forested wetlands can cover a large fraction of the land area and contain a majority of the regional carbon pool in wet northern temperate landscapes. We used the LANDIS-II forest landscape succession model coupled with a model of plant community and soil carbon responses to water table changes to explore the impacts of declining water table on regional carbon pools in a peatland-and wetland-rich landscape in northern Wisconsin, USA. Simulations indicated that both biomass accumulation and soil decomposition would increase as a consequence of drying. In peatlands, simulated water table declines of 100 cm led to large increases in biomass as well as shortterm increases in soil carbon, whereas declines of 40 cm led to continuous declines in soil carbon and smaller increases in biomass, with the net result being a loss of total carbon. In non-peat wetlands, biomass accumulation outweighed soil carbon loss for both scenarios. Long-term carbon cycle responses were not significantly affected by the time scale of water table decline. In general, peatland carbon storage over the first 50-150 years following drainage was neutral or increasing due to increased plant growth, whereas carbon storage over longer time scales decreased due to soil carbon loss. Although the simplicity of the model limits quantitative interpretation, the results show that plant community responses are essential to understanding the full impact of hydrological change on carbon storage in peatland-rich landscapes, and that measurements over long time scales are necessary to adequately constrain landscape carbon pool responses to declining water table.
“…However, the steady state of total carbon for the first 100 years following 40-cm water table decline was consistent with Sulman and others (2009) and Flanagan and Syed (2011), who observed no change in NEE over short time scales following drainage of that magnitude in peatlands. In simulations that included only soil effects, the model did predict substantial losses of carbon for both depths of water table decline, indicating that the major difference between our simulations and short-term, soil-focused studies was the inclusion of plant community changes.…”
Section: Discussionsupporting
confidence: 89%
“…Increased plant growth resulting from declining water table has been observed in field studies over inter-annual time scales (Sulman and others 2009;Flanagan and Syed 2011), although Strack and others (2006) observed variations in the response between hummock, hollow, and lawn microforms. Wetland succession studies over decadal time scales have observed large increases in biomass as sedge, shrub, or moss-dominated wetland landscapes are converted to forest (Laine and others 1995;Laiho and others 2003).…”
Section: Discussionmentioning
confidence: 97%
“…These regions also include significant areas of forested wetlands without thick peat layers, which contribute significantly to the regional carbon cycle. Because peat accumulation and preservation depends on anaerobic soil conditions resulting from high water tables, changes in water table affect CO 2 emissions, and peat decomposition rates (Moore and Knowles 1989;Freeman and others 1992;Junkunst and Fiedler 2007;Yurova and others 2007;Sulman and others 2009;Olivas and others 2010;Flanagan and Syed 2011). Some peatland modeling studies have identified significant positive feedbacks to climate warming due to increased peat decomposition (for example, Tarnocai 2006;Ise and others 2008).…”
Section: Introductionmentioning
confidence: 99%
“…Some peatland modeling studies have identified significant positive feedbacks to climate warming due to increased peat decomposition (for example, Tarnocai 2006;Ise and others 2008). However, field and laboratory studies suggest that hydrological change also leads to changes in plant communities (Laine and others 1995;Weltzin and others 2003;Strack and others 2006;Talbot and others 2010), which can significantly affect the net CO 2 budget over the short term (Sulman and others 2009;Flanagan and Syed 2011). Studies of long-term responses to drainage have highlighted the importance of aboveground carbon accumulation, which in some cases can outweigh the loss of carbon from increased peat decomposition (Minkkinen and Laine 1998;Lohila and others 2011).…”
Peatlands and forested wetlands can cover a large fraction of the land area and contain a majority of the regional carbon pool in wet northern temperate landscapes. We used the LANDIS-II forest landscape succession model coupled with a model of plant community and soil carbon responses to water table changes to explore the impacts of declining water table on regional carbon pools in a peatland-and wetland-rich landscape in northern Wisconsin, USA. Simulations indicated that both biomass accumulation and soil decomposition would increase as a consequence of drying. In peatlands, simulated water table declines of 100 cm led to large increases in biomass as well as shortterm increases in soil carbon, whereas declines of 40 cm led to continuous declines in soil carbon and smaller increases in biomass, with the net result being a loss of total carbon. In non-peat wetlands, biomass accumulation outweighed soil carbon loss for both scenarios. Long-term carbon cycle responses were not significantly affected by the time scale of water table decline. In general, peatland carbon storage over the first 50-150 years following drainage was neutral or increasing due to increased plant growth, whereas carbon storage over longer time scales decreased due to soil carbon loss. Although the simplicity of the model limits quantitative interpretation, the results show that plant community responses are essential to understanding the full impact of hydrological change on carbon storage in peatland-rich landscapes, and that measurements over long time scales are necessary to adequately constrain landscape carbon pool responses to declining water table.
“…Schuur et al (2008)) and negative (e.g. Flanagan and Syed (2011)) feedback loops between climate warming and the carbon cycle in the Arctic leads to considerable uncertainties in how far the substrate potential in permafrost deposits plays a key role for future greenhouse gas production concerning shifts in the microbial 25 community composition, vegetation, hydrogeology and soil thermal regime. This study shows that OM especially deposited during the interstadial and glacial periods appear to contain a larger substrate potential than the interglacial deposits.…”
Section: Microbial Substrate Potential For Greenhouse Gas Generationmentioning
Abstract. Multiple permafrost cores from Bol´shoy Lyakhovsky Island in NE Siberia comprising deposits from Eemian to modern time are investigated to evaluate the stored potential of the freeze-locked organic matter (OM) to serve as substrate 10 for the production of microbial greenhouse gases from thawing permafrost deposits. Deposits from Late Pleistocene glacial periods (comprising MIS 3 and MIS 4) possess an increased aliphatic character and a higher amount of potential substrates, and therefore higher OM quality in terms of biodegradation compared to interglacial deposits from the Eemian (MIS 5e) as well as from the Holocene (MIS 1). To assess the potential of the individual permafrost deposits to provide substrates for microbially induced greenhouse gas generation, concentrations of free and bound acetate as an excellent substrate for 15 methanogenesis are used. The highest free (in pore water and segregated ice) and bound (bound to the organic matrix) acetate-substrate pools of the permafrost deposits are observed within the interstadial MIS 3 and stadial MIS 4 period deposits. In contrast, deposits from the last interglacial MIS 5e show only poor substrate pools. The Holocene deposits reveal a significant bound-acetate pool, representing at least a future substrate potential upon release during OM degradation.Biomarkers for past microbial communities (branched and isoprenoid GDGTs) show also highest abundance of past 20 microbial communities during the MIS 3 and MIS 4 deposits, which indicates higher OM quality with respect to microbial degradation during time of deposition. On a broader perspective, Arctic warming will increase permafrost thaw and favour substrate availability from freeze-locked older permafrost deposits. Therefore, especially those deposits from MIS 3 and MIS 4 show a high potential for providing substrates relevant for methanogenesis.
Ecosystem phenology plays an important role in carbon exchange processes and can be derived from continuous records of carbon dioxide (CO 2 ) exchange data. In this study we examined the potential use of phenological indices for characterizing cumulative annual CO 2 exchange in four contrasting northern peatland ecosystems. We used the approach of Jonsson and Eklundh (2004) to derive a set of phenological indices based on the daily time series of gross primary production (GPP), ecosystem respiration (R e ), and net ecosystem production (NEP) measured in the four peatland sites. The main objectives of this study were (a) to examine the variation in phenological indices across sites and (b) to determine the relationships among phenological indices, environmental conditions, and cumulative annual CO 2 exchange. The phenological index used to define the "start of the growing season" showed good potential for differentiation among sites based on their average annual site GPP. Sites with earlier growing seasons had the highest average annual site GPP. The "peak CO 2 exchange rate" phenological index performed best in reflecting variations among sites and for estimating annual values of GPP, R e , and NEP (Pearson correlation coefficients ranged between 0.77 and 0.99, p < 0.05 for all.). The phenological indices and annual GPP, R e , and NEP were sensitive to winter (January-March) and summer (July-September) temperature and precipitation, but correlations, though significant, were weak.
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