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Effects of simulated inundation on wetland methane flux predictions for the southeastern U.S.
textThis work provides an overview of factors that influence methane emissions from natural wetlands in the southeastern U.S. at seasonal and interannual timescales. It then examines simulations using CLM4Me, a methane biogeochemistry model run within CESM, through comparison with recently compiled flux estimations from remote sensing data. In addition, we assess how seasonal methane flux simulations in CLM4Me are affected by the use of alternative estimates of inundated land fraction. Inundation predictions are provided by DYPTOP, a TOPMODEL implementation which can be used to simulate the dynamics of wetland spatial distribution. Results may aid in future model development and in understanding the role of subtropical and temperate North American wetlands under future climate projections.Geological Science
An algorithm to detect non-background signals in greenhouse gas time series from European tall tower and mountain stations
We present a statistical framework to identify regional signals in station-based CO2 time series with minimal local influence. A curve-fitting function is first applied to the detrended time series to derive a harmonic describing the annual CO2 cycle. We then combine a polynomial fit to the data with a short-term residual filter to estimate the smoothed cycle and define a seasonally adjusted noise component, equal to 2 standard deviations of the smoothed cycle about the annual cycle. Spikes in the smoothed daily data which surpass this +/- 2 sigma threshold are classified as anomalies. Examining patterns of anomalous behavior across multiple sites allows us to quantify the impacts of synoptic-scale atmospheric transport events and better understand the regional carbon cycling implications of extreme seasonal occurrences such as droughts.Peer reviewe
Splitting function measurements for Earth's longest period normal modes using recent large earthquakes
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/95155/1/grl27754.pd
A Yersinia Effector with Enhanced Inhibitory Activity on the NF-κB Pathway Activates the NLRP3/ASC/Caspase-1 Inflammasome in Macrophages
A type III secretion system (T3SS) in pathogenic Yersinia
species functions to translocate Yop effectors, which modulate cytokine
production and regulate cell death in macrophages. Distinct pathways of
T3SS-dependent cell death and caspase-1 activation occur in
Yersinia-infected macrophages. One pathway of cell death
and caspase-1 activation in macrophages requires the effector YopJ. YopJ is an
acetyltransferase that inactivates MAPK kinases and IKKβ to cause
TLR4-dependent apoptosis in naïve macrophages. A YopJ isoform in Y.
pestis KIM (YopJKIM) has two amino acid substitutions,
F177L and K206E, not present in YopJ proteins of Y.
pseudotuberculosis and Y. pestis CO92. As compared
to other YopJ isoforms, YopJKIM causes increased apoptosis, caspase-1
activation, and secretion of IL-1β in Yersinia-infected
macrophages. The molecular basis for increased apoptosis and activation of
caspase-1 by YopJKIM in Yersinia-infected
macrophages was studied. Site directed mutagenesis showed that the F177L and
K206E substitutions in YopJKIM were important for enhanced apoptosis,
caspase-1 activation, and IL-1β secretion. As compared to
YopJCO92, YopJKIM displayed an enhanced capacity to
inhibit phosphorylation of IκB-α in macrophages and to bind IKKβ in
vitro. YopJKIM also showed a moderately increased ability to inhibit
phosphorylation of MAPKs. Increased caspase-1 cleavage and IL-1β secretion
occurred in IKKβ-deficient macrophages infected with Y.
pestis expressing YopJCO92, confirming that the
NF-κB pathway can negatively regulate inflammasome activation.
K+ efflux, NLRP3 and ASC were important for secretion of
IL-1β in response to Y. pestis KIM infection as shown using
macrophages lacking inflammasome components or by the addition of exogenous KCl.
These data show that caspase-1 is activated in naïve macrophages in
response to infection with a pathogen that inhibits IKKβ and MAPK kinases
and induces TLR4-dependent apoptosis. This pro-inflammatory form of apoptosis
may represent an early innate immune response to highly virulent pathogens such
as Y. pestis KIM that have evolved an enhanced ability to
inhibit host signaling pathways
The fingerprint of the summer 2018 drought in Europe on ground-based atmospheric CO2 measurements
During the summer of 2018, a widespread drought developed over Northern and Central Europe. The increase in temperature and the reduction of soil moisture have influenced carbon dioxide (CO2) exchange between the atmosphere and terrestrial ecosystems in various ways, such as a reduction of photosynthesis, changes in ecosystem respiration, or allowing more frequent fires. In this study, we characterize the resulting perturbation of the atmospheric CO2 seasonal cycles. 2018 has a good coverage of European regions affected by drought, allowing the investigation of how ecosystem flux anomalies impacted spatial CO2 gradients between stations. This density of stations is unprecedented compared to previous drought events in 2003 and 2015, particularly thanks to the deployment of the Integrated Carbon Observation System (ICOS) network of atmospheric greenhouse gas monitoring stations in recent years. Seasonal CO2 cycles from 48 European stations were available for 2017 and 2018.The UK sites were funded by the UK Department of Business,
Energy and Industrial Strategy (formerly the Department of Energy
and Climate Change) through contracts TRN1028/06/2015 and
TRN1537/06/2018. The stations at the ClimaDat Network in
Spain have received funding from the ‘la Caixa’ Foundation, under
agreement 2010-002624
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