Understanding Of Carbon Cycle Research Articles

Non-carnivorous feeding in Arctic chaetognaths

Chaetognaths (arrow worms) are important components of zooplankton communities in terms of abundance, biomass and contribution to carbon export. Though traditionally considered strict carnivores, recent studies have identified “omnivorous” chaetognaths. These may feed on non-animal materials, including algae, detritus or sediments. The feeding strategies of the Arctic species Eukrohnia hamata and Parasagitta elegans are particularly interesting given differences in their vertical distributions, and the strong seasonality (peaks and troughs) in the abundance of expected prey items, such as copepods. We analyse the feeding history of these chaetognaths in the Beaufort and Chukchi Seas, and Baffin Bay, using gut contents (types and colours) as short-term signals (days), and biochemistry (stable isotope, lipid and fatty acid composition) as signals integrated over the longer-term (weeks to months), to investigate seasonality in diets and determine the extent to which animal and non-animal matter are consumed. Between November 2007 and July 2008 in the Beaufort Sea, green detritus and oil droplets were abundant in the guts of only E. hamata and were found to contain evidence of diatoms. Weak differences in apparent predation rates and prey items for the two species, but high amounts of green detritus and silica in E. hamata guts point towards direct ingestion of diatoms and marine snow at both epi- and meso-pelagic depths, and can explain δ15N and δ13C-contents that may predict omnivory in the Chukchi Sea and Baffin Bay (fall 2014). Dietary signals in P. elegans predict that this species has a reduced dependence on diatom source pathways relative to E. hamata, for instance a relative absence in green material in guts, and a lower 16:1 (n − 7) concentration. Whilst nitrogen isotopes and fatty acid biomarkers suggested a more carnivorous diet, they also suggest that Calanus copepods are less important to its diet than other types of zooplankters. We suggest that E. hamata (whether pelagic or hyper-benthic) likely receives a substantial energy input from algae and detritus and is thus not a strict carnivore. Our data provide the stimulus for continued focus on these organisms and the important role they play in carbon flux as we try to better understand carbon cycling in a changing Arctic Ocean.

Discerning natural and anthropogenic organic matter inputs to salt marsh sediments of Ria Formosa lagoon (South Portugal).

Sedimentary organic matter (OM) origin and molecular composition provide useful information to understand carbon cycling in coastal wetlands. Core sediments from threors' Contributionse transects along Ria Formosa lagoon intertidal zone were analysed using analytical pyrolysis (Py-GC/MS) to determine composition, distribution and origin of sedimentary OM. The distribution of alkyl compounds (alkanes, alkanoic acids and alkan-2-ones), polycyclic aromatic hydrocarbons (PAHs), lignin-derived methoxyphenols, linear alkylbenzenes (LABs), steranes and hopanes indicated OM inputs to the intertidal environment from natural-autochthonous and allochthonous-as well as anthropogenic. Several n-alkane geochemical indices used to assess the distribution of main OM sources (terrestrial and marine) in the sediments indicate that algal and aquatic macrophyte derived OM inputs dominated over terrigenous plant sources. The lignin-derived methoxyphenol assemblage, dominated by vinylguaiacol and vinylsyringol derivatives in all sediments, points to large OM contribution from higher plants. The spatial distributions of PAHs (polyaromatic hydrocarbons) showed that most pollution sources were mixed sources including both pyrogenic and petrogenic. Low carbon preference indexes (CPI > 1) for n-alkanes, the presence of UCM (unresolved complex mixture) and the distribution of hopanes (C29-C36) and steranes (C27-C29) suggested localized petroleum-derived hydrocarbon inputs to the core sediments. Series of LABs were found in most sediment samples also pointing to domestic sewage anthropogenic contributions to the sediment OM.

Greenhouse Gas Fluxes of Mangrove Soils and Adjacent Coastal Waters in an Urban, Subtropical Estuary.

Mangroves are known to sequester carbon at rates exceeding even those of other tropical forests; however, to understand carbon cycling in these systems, soil-atmosphere fluxes and gas exchanges in mangrove-adjacent shallow waters need to be quantified. Further, despite the ever-increasing impact of development on mangrove systems, there is even less data on how subtropical, greenhouse gas (GHG) fluxes are affected by urbanization. We quantified carbon dioxide (CO2) and methane (CH4) fluxes from mangrove soils and adjacent, coastal waters along a gradient of urbanization in the densely-populated, subtropical San Juan Bay Estuary (PR). Edaphic (salinity, pH, surface temperature) factors among sites significantly covaried with GHG fluxes. We found that mangrove systems in more highly-urbanized reaches of the estuary were characterized by relatively lower porewater salinities and substantially larger GHG emissions, particularly CH4, which has a high global warming potential. The magnitude of the CO2 emissions was similar in the mangrove soils and adjacent waters, but the CH4 emissions in the adjacent waters were an order of magnitude higher than in the soils and showed a marked response to urbanization. This study underscores the importance of considering GHG emissions of adjacent waters in carbon cycling dynamics in urbanized, tropical mangrove systems.

Differences in bioavailability of canonical and non-canonical D-amino acids for marine microbes

Dissolved organic matter (DOM) accounts for >95% of total marine organic matter, and >95% of marine DOM is refractory to biodegradation. The recalcitrancy of DOM determines its residence time and thus is of great concern regarding to carbon sequestration in the ocean. However, the recalcitrancy of DOM not only varies among different compounds but also within different conformations of a same molecule such as L-amino acids (L-AAs) and D-amino acids (D-AAs). While the former is labile, the latter is refractory and used as a proxy for estimation of bacterial refractory DOM in the ocean. However, some D-AAs are also reported to be bioavailable. To clarify the controversy, we examined the bioavailability of two types of D-AAs: canonical D-AAs, which mainly present as bacterial cell wall components, and non-canonical D-AAs (NCDAAs), which are secreted by various bacteria as signaling molecules in bacterial physiology. Bioassay experiments were conducted with nine marine bacterial strains and a natural microbial community. D-AAs were poorly utilized by the strains as sole carbon or nitrogen sources compared with L-AAs, in addition, NCDAAs were barely used compared with canonical D-AAs. In comparison, the microbial community consumed all three canonical D-AAs (D-alanine, D-aspartic acid and D-glutamic acid) as efficiently as their corresponding L-AAs when supplied separately; however, L-AAs were preferentially used over D-AAs when both forms were provided simultaneously. Remarkably, two NCDAAs, D-methionine and D-leucine, were poorly utilized regardless of the presence of the L-enantiomers. It was found for the first time that NCDAAs are relatively more refractory than canonical D-AAs to microbial utilization. This novel recognition of difference in recalcitrancy between NCDAAs and canonical D-AAs lays the foundation for a better understanding of carbon cycling and more accurate estimation of carbon storage in the ocean.

Leaf Photosynthetic Capacity of Sunlit and Shaded Mature Leaves in a Deciduous Forest

A clear understanding of the dynamics of photosynthetic capacity is crucial for accurate modeling of ecosystem carbon uptake. However, such dynamical information is hardly available and has dramatically impeded our understanding of carbon cycles. Although tremendous efforts have been made in coupling the dynamic information of photosynthetic capacity into models, using “proxies” rooted from the close relationships between photosynthetic capacity and other available leaf parameters remains the popular selection. Unfortunately, no consensus has yet been reached on such “proxies”, leading them only applicable to limited cases. In this study, we aim to identify if there are close relationships between the photosynthetic capacity (represented by the maximum carboxylation rate, Vcmax) and leaf traits for mature broadleaves within a cold temperature deciduous forest. This is based on a long-term in situ dataset including leaf chlorophyll content (Chl), leaf nitrogen concentration (Narea, Nmass), leaf carbon concentration (Carea, Cmass), equivalent water thickness (EWT), leaf mass per area (LMA), and leaf gas exchange measurements from which Vcmax was derived, for both sunlit and shaded leaves during leaf mature periods from 2014 to 2019. The results show that the Vcmax values of sunlit and shaded leaves were relatively stable during these periods, and no statistically significant interannual variations occurred (p > 0.05). However, this is not applicable to specific species. Path analysis revealed that Narea was the major contributor to Vcmax for sunlit leaves (0.502), while LMA had the greatest direct relationship with Vcmax for shaded leaves (0.625). The LMA has further been confirmed as a primary proxy if no leaf type information is available. These findings provide a promising way to better understand photosynthesis and to predict carbon and water cycles in temperate deciduous forests.

Habitat‐specific effects of bark on wood decomposition: Influences of fragmentation, nitrogen concentration and microbial community composition

Abstract Identifying the drivers of decomposition is critical for understanding carbon cycling dynamics in forest ecosystems. Woody biomass is an important pool of carbon, composed of bark and underlying wood which vary in structure, nutrient concentrations and exposure to the environment. We hypothesized that higher nutrient concentrations in bark would speed the decomposition of underlying wood, and that this effect would be greater in streams, where nutrients are less available to decomposers than on land. Replicate branches of three tree species, with and without bark, were placed in streams and on land in a lowland tropical forest in Panama. After 3 and 11 months of decomposition, we measured mass loss and nitrogen (N) concentrations and sequenced the fungal and bacterial communities of both wood and bark tissues. While bark decomposed faster than the underlying wood and had higher N concentrations, bark presence slowed wood mass loss. Nitrogen concentration could account for interspecific variation in wood mass loss, but not bark mass loss. In contrast, bark mass loss, but not wood mass loss, was faster in streams than on land, suggesting fragmentation is more important for bark mass loss in streams. Differences in fungal and bacterial community composition between bark and wood substrates were significant but small. Our results indicate that bark can slow wood decomposition instead of promoting it, and that at least for branch wood, the primary drivers of decomposition differ between bark and wood. Differences in the factors driving decomposition rate between bark and wood suggest that the contribution of bark to the decomposition of woody biomass may depend on habitat. A free Plain Language Summary can be found within the Supporting Information of this article.

Protist grazing contributes to microbial food web at the upper boundary of the twilight zone in the subarctic Pacific

Grazing by herbivorous protists (microzooplankton) is a major loss pathway of primary production in the surface ocean, yet its impact below the well-lit surface ocean is largely unknown. The upper boundary of the twilight zone is critically important to understanding carbon cycling and is often the depth of highest attenuation of particulate carbon flux. Available measurements of primary production and grazing below the well-lit surface ocean suggest that the upper boundary of the twilight zone may harbor active but poorly constrained food web processes. Previous grazing rates from the base of the euphotic zone were measured in subtropical and tropical environments. Thus, the impact of protist grazing on prey populations remains unknown in colder conditions at higher latitudes. To advance understanding and provide mechanistic insight into processes occurring at the base of the euphotic zone (0.4-0.7% PAR), we measured predation rates on both phytoplankton and heterotrophic prokaryotes in the North Pacific, using a novel method that amplified the grazing signal by concentrating the predator community, enabling detection of grazing rates far below previous limits. Protists consumed 0.6% of the phytoplankton population daily and 12% of daily heterotrophic prokaryote growth. These conservative rate measurements document marginal removal of phytoplankton even in these colder regimes, implying flows of energy from single-cell primary producers and prokaryotes to single-cell protists at rates far below previous detection limits in this twilight region of a low-productivity system.

Dissolved organic matter in a tropical saline-alkaline lake of the East African Rift Valley.

Saline-alkaline lakes of the East African Rift are known to have an extremely high primary production supporting a potent carbon cycle. To date, a full description of carbon pools in these lakes is still missing. More specifically, there is not detailed information on the quality of dissolved organic matter (DOM), the main carbon energy source for heterotrophs prokaryotes. We report the first exhaustive description of DOM molecular properties in the water column of a meromictic saline-alkaline lake of the East African Rift. DOM availability, fate and origin were studied either quantitatively, in terms of dissolved organic carbon (DOC) and nitrogen (DON) or qualitatively, in terms of optical properties (absorbance) and molecular characterization of solid-phase extracted DOM (SPE-DOM) through negative electrospray ionization Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR-MS). DOM availability was high (DOC ∼ 8.1 mM in surface waters) and meromixis imprinted a severe quantitative and qualitative change on DOM pool. At the surface, DOM was rich in aliphatic and moderately in aromatic molecules and thus mirroring autochthonous microbial production together with photodegradation. At the bottom changes were extreme: DOC increased up to 5 times (up to 50 mM) and, molecular signature drifted to saturated, reduced and non-aromatic DOM suggesting intense microbial activity within organic sediments. At the chemocline, DOC was retained indicating that this interface is a highly reactive layer in terms of DOM processing. These findings underline that saline-alkaline lakes of the East African Rift are carbon processing hot spots and their investigation may broaden our understanding of carbon cycling in inland waters at large.

Biogeochemical and physical controls on the evolution of dissolved inorganic carbon (DIC) and δ13CDIC in karst spring-waters exposed to atmospheric CO2(g): Insights from laboratory experiments

Karst waters (spring-fed streams, lakes and reservoirs) characterized by relatively high concentrations of dissolved inorganic carbon (DIC) and pCO2 significantly impact regional and global carbon cycles by releasing carbon dioxide to the atmosphere. Investigating the transfer of DIC from karst waters to the atmosphere is important to further our understanding of carbon cycling in karst environments. There is still considerable uncertainty about the controls of DIC transfer in karst waters because of challenges associated with investigations that aim to mimic the continuum of changes in DIC concentrations to equilibrium with atmospheric CO2 in natural settings. Laboratory simulations can create controlled conditions that allow targeted investigations. In this study, four tanks were taken to investigate the variations of pCO2, DIC and δ13CDIC when karst spring-waters were exposed to the atmosphere from 40 to 360 h as: (1) agitated water containing Hydrilla verticillata; (2) static water containing Hydrilla verticillata; (3) agitated water without Hydrilla verticillata; and (4) static water without Hydrilla verticillata. The rates of photosynthesis/respiration of submerged plants, CO2 outgassing and carbonate precipitation/dissolution were quantified by a time-stepping chemical/isotopic mass balance model. This experiment was designed to create ideal conditions to estimate the temporal evolution of DIC and δ13CDIC, and investigate mechanisms that control their evolution when karst spring-waters interact with atmospheric CO2. Results show: (1) generally a steep decrease in DIC concentrations and δ13CDIC enrichment; (2) DIC loss and δ13CDIC enrichment are faster in the agitated waters with submerged plants; (3) DIC evolution is mainly controlled by the metabolism of aquatic plants; (4) carbonate precipitation/dissolution and CO2 outgassing has a lower effect on the DIC evolution in waters with submerged plants; (5) δ13CDIC evolution is mainly controlled by the metabolism of submerged plants; (6) CO2 evasion, photosynthesis and δ13CDIC enrichment are accelerated by the agitation of waters. Our analyses show that more than 40% of the total DIC resulting from carbonate weathering was used for photosynthesis by submerged aquatic plants thereby transforming the DIC into organic carbon (OC), suggesting that intense aquatic photosynthetic activities in continental surface water systems could play an important role as natural carbon sinks.

Middle Permian organic carbon isotope stratigraphy and the origin of the Kamura Event

Large carbon cycle perturbations associated with the Middle Permian (Capitanian) mass extinction have been widely reported, but their causes and timing are still in dispute. Low resolution carbon isotope records prior to this event also limit the construction of a Middle Permian chemostratigraphic framework and global or local stratigraphic correlation, and hence limit our understanding of carbon cycle and environmental changes. To investigate these issues, we analyzed the 13Corg values from the Middle Permian chert-mudstone sequence (Gufeng Formation) in the Lower Yangtze deep-water basin (South China) and compared them with published records to build a chemostratigraphic scheme and discuss the underlying environmental events. The records show increased δ13Corg values from late Kungurian to early Guadalupian, followed by a decrease to the late Wordian/early Capitanian. The early-mid Capitanian was characterized by elevated δ13Corg values suggesting the presence of the “Kamura Event”: an interval of heavy positive values seen in the δ13Ccarb record. We propose that these heavy Capitanian δ13C values may be a response to a marked decline in chemical weathering rates on Pangea and associated reduction in carbonate burial, which we show using a biogeochemical model. The subsequent negative δ13C excursion seen in some carbonate records, especially in shallower-water sections (and in a muted expression in organic carbon) coincide with the Capitanian mass extinction may be caused by the input of isotopically-light carbon sourced from the terrestrial decomposition of organic matter.

Spectral Decomposition Reveals New Perspectives on CO2Concentration Patterns and Soil‐Stream Linkages

AbstractThe rapid development of novel technologies to obtain high‐frequency observations has provided new possibilities to observe and understand carbon cycling in inland waters. This study investigates carbon dioxide (CO2) dynamics along a boreal soil‐stream transect using a state‐of‐the‐art data set in combination with a spectral methodology to identify controls on stream CO2. The spectral decomposition of hourly observations revealed intermediate (multiday) to long‐term (monthly) patterns across the upslope‐riparian‐stream continuum, with similar power law increases in CO2concentration fluctuations with increasing period. High‐frequency CO2variabilities, specifically diel CO2concentration fluctuations, were also identified at all locations but were substantially amplified in the stream compared to in the riparian groundwater. Moreover, the spectral coherence between soil and stream CO2fluctuations was inconsistent and restricted to episodic events. In contrast, we found a strong and consistent spectral coherence between the riparian groundwater level and stream CO2concentration, indicating a hydrological control on stream CO2dynamics. However, during some time spans even these patterns were obscured, suggesting that additional processes, such as CO2evasion and in‐stream metabolism, modulated the influence from riparian sources. The scales and patterns of temporal coherences (or lack thereof) between CO2at different points in the catchment, as well as with other factors, for example, groundwater levels and Photosynthetically Active Radiation, provide new perspectives on the range of processes governing stream CO2dynamics. Thus, this study highlights the potential of using spectral decomposition of high‐resolution, spatially distributed data of different types to investigate biogeochemical transformations and pathways linking terrestrial and aquatic systems.

Estimation of China’s forest stand biomass carbon sequestration based on the continuous biomass expansion factor model and seven forest inventories from 1977 to 2013

Forests are a major contributor of terrestrial ecosystem carbon pools. Accurate estimates of forest biomass carbon sinks can improve our understanding of carbon cycles and help in developing sustainable forest management policies in the face of climate change. In this study, we update estimates of the biomass carbon stocks of China’s forests based on seven forest inventory datasets from 1977 to 2013 and carbon fraction coefficients of 46 tree species in the continuous biomass expansion factor (CBEF) model. Our findings suggest that: (1) China’s forest stands acted as an average biomass carbon sink of 99.07 Tg C year−1; and (2) biomass carbon stocks increased by 72.62% from 1977 to 2013 and recently reached 7.27 Pg C, driven by forest area expansion and forest growth. The biomass carbon density of forest stands (canopy coverage >20%) increased from 38.18 to 44.52 Mg C ha−1 during the study period, with higher carbon densities in natural compared to planted forests, and the gap increasing with forest age. The largest increases in the biomass of carbon stocks of forest stands occurred in the eastern and northern regions. Our results suggest that biomass carbon stocks of natural forests account for about 85% in the most recent inventory and that the total biomass carbon stocks of forest stands in China will keep increasing in the future because of the large area of planted forests with young and middle-aged forest growth. The results from this study can help with comprehensive investigations of forest carbon budgets and the calibration and validation of simulation model results.

Direct Observations of the Occlusion of Soil Organic Matter within Calcite.

Global soil carbon cycling plays a key role in regulating and stabilizing the earth's climate change because of soils with amounts of carbon at least three times greater than those of other ecological systems. Soil minerals have also been shown to underlie the persistence of soil organic matter (SOM) through both adsorption and occlusion, but the microscopic mechanisms that control the latter process are poorly understood. Here, using time-resolved in situ atomic force microscopy (AFM) to observe how calcite, a representative mineral in alkaline soils, interacts with humic substances, we show that following adsorption, humic substances are gradually occluded by the advancing steps of spirals on the calcite (1014) face grown in relatively high supersaturated solutions, through the embedment, compression, and closure of humic substance particles into cavities. This occlusion progress is inhibited by phytate at high concentrations (10-100 μM) due to the formation of phytate-Ca precipitates on step edges to prevent the step advancement, whereas phytate at relatively low concentrations (≤1 μM) and oxalate at high concentrations (100 μM) have little effect on this process. These in situ observations may provide new insights into the organo-mineral interaction, resulting in the incorporation of humic substances into minerals with a longer storage time to delay degradation in soils. This will improve our understanding of carbon cycling and immobilization in soil ecological systems.

Aboveground Net Primary Production at Acacia mangium Plantation in Northern Vietnam

Net primary production (NPP) is an important index for understanding carbon cycling in forest ecosystems. In this study, aboveground NPP at Acacia mangium plantation was estimated basing on allometry for aboveground biomass increment (ΔM) and litter trap technique for litterfall (Lf). The experiment was conducted in two plots of 300 m2 each (15 × 20 m), established at a 21-month old plantation. Data were collected five times of 3-month intervals in a total duration of 357 days. The results indicated that Lf and ΔM were seasonal-dependent. Litterfall was highest (4.06 g m-1 day-1) during Sep-Jan (late rainy season, early winter) and lowest (1.10 g m-1 day-1) during Mar-Jun (early rainy season, early summer). While, ΔM was highest (13.51 g m-1 day-1) during Jun-Sep (rainy season, summer) and lowest (3.10 g m-1 day-1) during Jan-Mar (dry season, winter). Total Lf in a duration of 357 days was 9.69 tons ha-1 and ΔM was 27.71 tons ha-1, leading to total aboveground NPP of the present study plantation of 37.40 tons ha-1. It is concluded that aboveground NPP of acacia plantation was much higher than other forests of different types and ages around the world. Such difference indicates the importance of acacia plantation in soil nutrient cycling through litterfall decomposition and carbon sequestration through aboveground biomass increment.

Microbial Community Analyses Inform Geochemical Reaction Network Models for Predicting Pathways of Greenhouse Gas Production

The mechanisms, pathways, and rates of CO2 and CH4 production are central to understanding carbon cycling and greenhouse gas flux in wetlands. Thawing permafrost regions are of particular interest because they are disproportionally affected by climate warming and store large reservoirs of organic C that may be readily converted to CO2 and CH4 upon thaw. This conversion is accomplished by a community of microorganisms interacting in complex ways to transform large organic compounds into fatty acids and ultimately CO2 and CH4. While the central role of microbes in this process is well-known, geochemical rate models rarely integrate microbiological information. Herein, we expanded the geochemical rate model of Neumann et al., (2016, Biogeochemistry 127: 57–87) to incorporate a Bayesian probability analysis and applied the result to quantifying rates of CO2, CH4, and acetate production in closed-system incubations of peat collected from three habitats along a permafrost thaw gradient. The goals of this analysis were twofold. First, we integrated microbial community analyses with geochemical rate modeling by using microbial data to inform the best model choice among equally mathematically feasible model variants. Second, based on model results, we described changes in organic carbon transformation among habitats to understand the changing pathways of greenhouse gas production along the permafrost thaw gradient. We found that acetoclasty, hydrogenotrophy, CO2 production, and homoacetogenesis were the important reactions in this system, with little evidence for anaerobic CH4 oxidation. There was a distinct transition in the reactions across the thaw gradient. The collapsed palsa stage presents an initial disequilibrium where the abrupt (physically and temporally) change in elevation introduces freshly fixed carbon into anoxic conditions and the fermentation products build up over time as the system transitions through the acid phase and electron acceptors are depleted. In the bog, fermentation slows, while methanogenesis increases. In the fully-thawed fen, most of the terminal electron acceptors are depleted and the system becomes increasingly methanogenic. This suggests that as permafrost regions thaw and dry palsas transition into wet fens, CH4 emissions will rise, increasing the warming potential of these systems and accelerating climate warming feedbacks.

Microbial Organic Matter Degradation Potential in Baltic Sea Sediments Is Influenced by Depositional Conditions and In Situ Geochemistry.

Globally, marine sediments are a vast repository of organic matter, which is degraded through various microbial pathways, including polymer hydrolysis and monomer fermentation. The sources, abundances, and quality (i.e., labile or recalcitrant) of the organic matter and the composition of the microbial assemblages vary between sediments. Here, we examine new and previously published sediment metagenomes from the Baltic Sea and the nearby Kattegat region to determine connections between geochemistry and the community potential to degrade organic carbon. Diverse organic matter hydrolysis encoding genes were present in sediments between 0.25 and 67 meters below seafloor and were in higher relative abundances in those sediments that contained more organic matter. New analysis of previously published metatranscriptomes demonstrated that many of these genes were transcribed in two organic-rich Holocene sediments. Some of the variation in deduced pathways in the metagenomes correlated with carbon content and depositional conditions. Fermentation-related genes were found in all samples and encoded multiple fermentation pathways. Notably, genes involved in alcohol metabolism were amongst the most abundant of these genes, indicating that this is an important but underappreciated aspect of sediment carbon cycling. This study is a step towards a more complete understanding of microbial food webs and the impacts of depositional facies on present sedimentary microbial communities.IMPORTANCE Sediments sequester organic matter over geologic time scales and impact global climate regulation. Microbial communities in marine sediments drive organic matter degradation, but the factors controlling their assemblages and activities, which in turn impact their role in organic matter degradation, are not well understood. Hence, determining the role of microbial communities in carbon cycling in various sediment types is necessary for predicting future sediment carbon cycling. We examined microbial communities in Baltic Sea sediments, which were deposited across various climatic and geographical regimes to determine the relationship between microbial potential for breakdown of organic matter and abiotic factors, including geochemistry and sediment lithology. The findings from this study will contribute to our understanding of carbon cycling in the deep biosphere and how microbial communities live in deeply buried environments.

Effect of manipulated precipitation during the growing season on soil respiration in the desert-grasslands in Inner Mongolia, China

The dynamics of soil respiration are crucial in understanding carbon cycling and its feedback to climate change. However, little information exists regarding the response of soil respiration to precipitation variation. To examine the response of soil respiration to precipitation variation through biogeochemical regulation, a manipulative field experiment was conducted along a precipitation gradient (−60%, −40%, −20%, CK = natural precipitation, +20%, +40% and +60%) in a native desert grassland ecosystem in Inner Mongolia. Plant biomass, total soil carbon and soil respiration were determined across the precipitation treatments during the growing season (from late May to early October) in 2017. Above-ground biomass tended to increase but total soil carbon varied little with an increase in precipitation. Soil respiration exhibited a unimodal curve diurnally in all precipitation treatments, peaking between 09:00 and 13:00, but showed irregular patterns seasonally. Both the daily and seasonal average soil respirations increased with an increase in precipitation (diurnal Rs ranged from 0.37 μmol m−2 s−1 to 0.75 μmol m−2 s−1; seasonal Rs ranged from 0.43 μmol m−2 s−1 to 0.66 μmol m−2 s−1). Soil respiration was correlated positively with precipitation-induced change in above-ground plant biomass, but was correlated negatively with precipitation-induced change in total soil carbon. It was concluded that carbon released from the soil increases with an increase in precipitation.

Community-identified key research questions for the future of UK afforested peatlands

Large areas of UK peatland were planted with non-native conifers in the twentieth century, changing many aspects of the ecosystem. As these plantations reach harvesting age there are important questions about what should be done with them next, with key options including restocking for continued forestry and restoration. Making decisions on the future of these sites is difficult and the underlying evidence base is often incomplete. In order to prioritise future evidence needs we conducted a two-phase consultation exercise to identify what a large body of stakeholders in science, policy and practice consider to be the most important outstanding research questions. The five most popular questions identified were: How does the greenhouse gas balance of peatland forestry differ between deep and shallow peat and compare to forestry on mineral soils?; How does the greenhouse gas budget of a peatland change with initial afforestation, restocking or restoration?; Is it possible to have trees on peat without loss of biodiversity and carbon storage?; What are the limits to the achievability of forest-to-bog restoration in terms of factors such as peat condition, depth and site extent?; and What is the financial value of natural capital in natural and afforested peatlands and how does this change with restoration? Notable subsidiary themes included flooding, biodiversity and compensatory planting. These questions form potential foci for future research and particularly emphasise the importance of understanding carbon cycling in afforested peatlands.

Stream metabolism increases with drainage area and peaks asynchronously across a stream network

Quantifying the spatial and temporal dynamics of stream metabolism across stream networks is key to understanding carbon cycling and stream food web ecology. To better understand intra-annual temporal patterns of gross primary production (GPP) and ecosystem respiration (ER) and their variability across space, we continuously measured dissolved oxygen and modeled stream metabolism for an entire year at ten sites across a temperate river network in Washington State, USA. We expected GPP and ER to increase with stream size and peak during summer and autumn months due to warmer temperatures and higher light availability. We found that GPP and ER increased with drainage area and that only four sites adhered to our expectations of summer peaks in GPP and autumn peaks in ER while the rest either peaked in winter, spring or remained relatively constant. Our results suggest the spatial arrangement and temporal patterns of discharge, temperature, light and nutrients within watersheds may result in asynchronies in GPP and ER, despite similar regional climatic conditions. These findings shed light on how temporal dynamics of stream metabolism can shift across a river network, which likely influence the dynamics of carbon cycling and stream food webs at larger scales.

Image analysis procedure for the optical scanning of fine-root dynamics: errors depending on the observer and root-viewing window size

Clarifying the dynamics of fine roots is critical to understanding carbon and nutrient cycling in forest ecosystems. An optical scanner can potentially be used in studying fine-root dynamics in forest ecosystems. The present study examined image analysis procedures suitable for an optical scanner having a large (210 mm × 297 mm) root-viewing window. We proposed a protocol for analyzing whole soil images obtained by an optical scanner that cover depths of 0-210 mm. We tested our protocol using six observers with different experience in studying roots. The observers obtained data from the manual digitization of sequential soil images recorded for a Bornean tropical forest according to the protocol. Additionally, the study examined the potential tradeoff between the soil image size and accuracy of estimates of fine-root dynamics in a simple exercise. The six observers learned the protocol and obtained similar temporal patterns of fine-root growth and biomass with error of 10-20% regardless of their experience. However, there were large errors in decomposition owing to the low visibility of decomposed fine roots. The simple exercise revealed that a smaller root-viewing window (smaller than 60% of the original window) produces patterns of fine-root dynamics that are different from those for the original window size. The study showed the high applicability of our image analysis approach for whole soil images taken by optical scanners in estimating the fine-root dynamics of forest ecosystems.