332 research outputs found
Characterization of extrasolar terrestrial planets from diurnal photometric variability
The detection of massive planets orbiting nearby stars has become almost
routine, but current techniques are as yet unable to detect terrestrial planets
with masses comparable to the Earth's. Future space-based observatories to
detect Earth-like planets are being planned. Terrestrial planets orbiting in
the habitable zones of stars-where planetary surface conditions are compatible
with the presence of liquid water-are of enormous interest because they might
have global environments similar to Earth's and even harbor life. The light
scattered by such a planet will vary in intensity and colour as the planet
rotates; the resulting light curve will contain information about the planet's
properties. Here we report a model that predicts features that should be
discernible in light curves obtained by low-precision photometry. For
extrasolar planets similar to Earth we expect daily flux variations up to
hundreds of percent, depending sensitively on ice and cloud cover. Qualitative
changes in surface or climate generate significant changes in the predicted
light curves. This work suggests that the meteorological variability and the
rotation period of an Earth-like planet could be derived from photometric
observations. Other properties such as the composition of the surface (e.g.,
ocean versus land fraction), climate indicators (for example ice and cloud
cover), and perhaps even signatures of Earth-like plant life could be
constrained or possibly, with further study, even uniquely determined.Comment: Published in Nature. 9 pages including 3 figure
Evidence for a weakening relationship between interannual temperature variability and northern vegetation activity.
Journal ArticleResearch Support, Non-U.S. Gov'tResearch Support, U.S. Gov't, Non-P.H.S.Satellite-derived Normalized Difference Vegetation Index (NDVI), a proxy of vegetation productivity, is known to be correlated with temperature in northern ecosystems. This relationship, however, may change over time following alternations in other environmental factors. Here we show that above 30°N, the strength of the relationship between the interannual variability of growing season NDVI and temperature (partial correlation coefficient RNDVI-GT) declined substantially between 1982 and 2011. This decrease in RNDVI-GT is mainly observed in temperate and arctic ecosystems, and is also partly reproduced by process-based ecosystem model results. In the temperate ecosystem, the decrease in RNDVI-GT coincides with an increase in drought. In the arctic ecosystem, it may be related to a nonlinear response of photosynthesis to temperature, increase of hot extreme days and shrub expansion over grass-dominated tundra. Our results caution the use of results from interannual time scales to constrain the decadal response of plants to ongoing warming.Strategic Priority Research Program (B) of the Chinese Academy of SciencesNational Basic Research Program of ChinaChinese Ministry of Environmental ProtectionNational Natural Science Foundation of China111 ProjectUS Department of Energy (DOE), Office of Science, Biological and Environmental Researc
Ab initio van der Waals interactions in simulations of water alter structure from mainly tetrahedral to high-density-like
The structure of liquid water at ambient conditions is studied in ab initio
molecular dynamics simulations using van der Waals (vdW) density-functional
theory, i.e. using the new exchange-correlation functionals optPBE-vdW and
vdW-DF2. Inclusion of the more isotropic vdW interactions counteracts highly
directional hydrogen-bonds, which are enhanced by standard functionals. This
brings about a softening of the microscopic structure of water, as seen from
the broadening of angular distribution functions and, in particular, from the
much lower and broader first peak in the oxygen-oxygen pair-correlation
function (PCF), indicating loss of structure in the outer solvation shells. In
combination with softer non-local correlation terms, as in the new
parameterization of vdW-DF, inclusion of vdW interactions is shown to shift the
balance of resulting structures from open tetrahedral to more close-packed. The
resulting O-O PCF shows some resemblance with experiment for high-density water
(A. K. Soper and M. A. Ricci, Phys. Rev. Lett., 84:2881, 2000), but not
directly with experiment for ambient water. However, an O-O PCF consisting of a
linear combination of 70% from vdW-DF2 and 30% from experiment on low-density
liquid water reproduces near-quantitatively the experimental O-O PCF for
ambient water, indicating consistency with a two-liquid model with fluctuations
between high- and low-density regions
Contrasting CO2 and water vapour fluxes in dry forest and pasture sites of central Argentina
The dry forests of South America are a key player of the global carbon cycle and the regional water cycle, but they are being intensively deforested. We used eddy covariance measurements to compare the temporal patterns of CO2 and water vapour fluxes and their relationships with environmental variables in dry forest and pastures sites of central Argentina. Ecosystem fluxes showed clear contrasts in magnitude, timing and response to environmental controls between ecosystems. The dry forest displayed higher daily gross primary productivity (GPP, 10.6 vs. 7.8 g CO2 m−2 d−1) and ecosystem respiration (Reco, 9.1 vs. 7.0 g CO2 m−2 d−1) and lower net ecosystem exchange (NEE, −1.5 vs. −0.7 g CO2 m−2 d−1) than the pasture. These differences were explained by a lower tolerance of the pasture to cool temperatures and drought. The lowest NEE rates were observed between 26°C and 34°C in the pasture, but below this range, NEE increased sharply, switching to a carbon source with temperatures <20°C. By contrast, the dry forest remained as a strong carbon sink down to 18°C. The pasture also showed a stronger drop of GPP with drought compared with the dry forest, becoming a carbon source with soil wetness <25% of soil available water. Rainfall was strongly coupled with GPP in both ecosystems, but the dry forest responded to longer rainfall integration periods. This study helps to understand how ecosystems can respond to climate change, improve global scale modelling and increase the productivity and resilience of rangelands.Fil: Nosetto, Marcelo Daniel. Consejo Nacional de Investigaciones CientÃficas y Técnicas. Centro CientÃfico Tecnológico Conicet - San Luis. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi". Universidad Nacional de San Luis. Facultad de Ciencias FÃsico, Matemáticas y Naturales. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi"; ArgentinaFil: Luna Toledo, Emanuel Santiago. Instituto Nacional de TecnologÃa Agropecuaria; Argentina. Universidad Nacional de Chilecito; Argentina. Consejo Nacional de Investigaciones CientÃficas y Técnicas; ArgentinaFil: Magliano, Patricio Nicolás. Consejo Nacional de Investigaciones CientÃficas y Técnicas. Centro CientÃfico Tecnológico Conicet - San Luis. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi". Universidad Nacional de San Luis. Facultad de Ciencias FÃsico, Matemáticas y Naturales. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi"; ArgentinaFil: Figuerola, Patricia Irene. Universidad Nacional de Chilecito; ArgentinaFil: Blanco, Lisandro Javier. Instituto Nacional de TecnologÃa Agropecuaria; ArgentinaFil: Jobbagy Gampel, Esteban Gabriel. Consejo Nacional de Investigaciones CientÃficas y Técnicas. Centro CientÃfico Tecnológico Conicet - San Luis. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi". Universidad Nacional de San Luis. Facultad de Ciencias FÃsico, Matemáticas y Naturales. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi"; Argentin
Current systematic carbon-cycle observations and the need for implementing a policy-relevant carbon observing system
A globally integrated carbon observation and analysis system is needed to
improve the fundamental understanding of the global carbon cycle, to improve
our ability to project future changes, and to verify the effectiveness of
policies aiming to reduce greenhouse gas emissions and increase carbon
sequestration. Building an integrated carbon observation system requires
transformational advances from the existing sparse, exploratory framework
towards a dense, robust, and sustained system in all components:
anthropogenic emissions, the atmosphere, the ocean, and the terrestrial
biosphere. The paper is addressed to scientists, policymakers, and funding
agencies who need to have a global picture of the current state of the
(diverse) carbon observations. We identify the current state of carbon
observations, and the needs and notional requirements for a global integrated
carbon observation system that can be built in the next decade. A key
conclusion is the substantial expansion of the ground-based observation
networks required to reach the high spatial resolution for CO<sub>2</sub> and
CH<sub>4</sub> fluxes, and for carbon stocks for addressing policy-relevant
objectives, and attributing flux changes to underlying processes in each
region. In order to establish flux and stock diagnostics over areas such as
the southern oceans, tropical forests, and the Arctic, in situ observations
will have to be complemented with remote-sensing measurements. Remote sensing
offers the advantage of dense spatial coverage and frequent revisit. A key
challenge is to bring remote-sensing measurements to a level of long-term
consistency and accuracy so that they can be efficiently combined in models
to reduce uncertainties, in synergy with ground-based data. Bringing tight
observational constraints on fossil fuel and land use change emissions will
be the biggest challenge for deployment of a policy-relevant integrated
carbon observation system. This will require in situ and remotely sensed data
at much higher resolution and density than currently achieved for natural
fluxes, although over a small land area (cities, industrial sites, power
plants), as well as the inclusion of fossil fuel CO<sub>2</sub> proxy measurements
such as radiocarbon in CO<sub>2</sub> and carbon-fuel combustion tracers.
Additionally, a policy-relevant carbon monitoring system should also provide
mechanisms for reconciling regional top-down (atmosphere-based) and bottom-up
(surface-based) flux estimates across the range of spatial and temporal
scales relevant to mitigation policies. In addition, uncertainties for each
observation data-stream should be assessed. The success of the system will
rely on long-term commitments to monitoring, on improved international
collaboration to fill gaps in the current observations, on sustained efforts
to improve access to the different data streams and make databases
interoperable, and on the calibration of each component of the system to
agreed-upon international scales
Physics and Applications of Laser Diode Chaos
An overview of chaos in laser diodes is provided which surveys experimental
achievements in the area and explains the theory behind the phenomenon. The
fundamental physics underpinning this behaviour and also the opportunities for
harnessing laser diode chaos for potential applications are discussed. The
availability and ease of operation of laser diodes, in a wide range of
configurations, make them a convenient test-bed for exploring basic aspects of
nonlinear and chaotic dynamics. It also makes them attractive for practical
tasks, such as chaos-based secure communications and random number generation.
Avenues for future research and development of chaotic laser diodes are also
identified.Comment: Published in Nature Photonic
Chitosan-coated mesoporous MIL-100(Fe) nanoparticles as improved bio-compatible oral nanocarriers
Nanometric biocompatible Metal-Organic Frameworks (nanoMOFs) are promising candidates for drug delivery. Up to now, most studies have targeted the intravenous route, related to pain and severe complications; whereas nanoMOFs for oral administration, a commonly used non-invasive and simpler route, remains however unexplored. We propose here the biofriendly preparation of a suitable oral nanocarrier based on the benchmarked biocompatible mesoporous iron(III) trimesate nanoparticles coated with the bioadhesive polysaccharide chitosan (CS). This method does not hamper the textural/ structural properties and the sorption/release abilities of the nanoMOFs upon surface engineering. The interaction between the CS and the nanoparticles has been characterized through a combination of high resolution soft X-ray absorption and computing simulation, while the positive impact of the coating on the colloidal and chemical stability under oral simulated conditions is here demonstrated. Finally, the intestinal barrier bypass capability and biocompatibility of CS-coated nanoMOF have been assessed in vitro, leading to an increased intestinal permeability with respect to the noncoated material, maintaining an optimal biocompatibility. In conclusion, the preservation of the interesting physicochemical features of the CS-coated nanoMOF and their adapted colloidal stability and progressive biodegradation, together with their improved intestinal barrier bypass, make these nanoparticles a promising oral nanocarrier
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