Loose Preference/performance Linkage In A Leaf-miner From Serra Do Japi

Leaf-miner insects have been used to support different herbivory hypothesis, as these sometimes show preference for some kind of plant module, although this preference is frequently not linked to their offspring performance. In order to locate the pattern of attack of a member of this group of herbivores in the continuum between vigorous and stressed plants, we searched for factors that may be influencing female preference for certain oviposition sites and their effects on larval performance (survival). We studied a leaf-miner Agromyzidae fly attacking Triumfetta semitiriloba (Tiliaceae) in the subtropical mountain region of Serra do Japi, Jundiai, SP. We measured shoot length, number of leaves pershoot, leaf size, and assessed survivorship of leaf-miners by the developmental stage reached. Miners were found in leaves and shoots of all sizes in an approximately random distribution. There was no tendency of increasing oviposition on longer shoots. Although there was an increasing proportion of attacked leaves with shoot g (r2 =0.27), this pattern increased in a smaller ratio than the number of leaves per shoot. The pattern of attack was not linked to larval performance, which was the same in every leaf and shoot size classes. The distribution of leaf-miners on T. semi-tiriloba plants seems not to be related to resource availability, but rather to predation and parasitism pressures.57343544

Geochemistry of two proterozoic A-type granites of Goias state, Brazil: possible links with rapakivi series

International audienceThe Mesoproterozoic (1.77 ga-1.60 ga) granites of the Goias Tin Province occur in the states of Goias and Tocantins, Brazil. They are situated in the Rio Parana and the Rio Tocantins sub-provinces. They are very similar in mineralogy, geochemistry, and age of emplacement, to the Arai rhyolites. Their compositions are comparable to those of A-type granites. The present paper discusses the principal mineralogical and geochemical characteristics of the Sucuri and Serra Dourada granites of the Goias tin-province

Real-time-capable prediction of temperature and density profiles in a tokamak using RAPTOR and a first-principle-based transport model

The RAPTOR code is a control-oriented core plasma profile simulator with various applications in control design and verification, discharge optimization and real-time plasma simulation. To date, RAPTOR was capable of simulating the evolution of poloidal flux and electron temperature using empirical transport models, and required the user to input assumptions on the other profiles and plasma parameters. We present an extension of the code to simulate the temperature evolution of both ions and electrons, as well as the particle density transport. A proof-of-principle neural-network emulation of the quasilinear gyrokinetic QuaLiKiz transport model is coupled to RAPTOR for the calculation of first-principle-based heat and particle turbulent transport. These extended capabilities are demonstrated in a simulation of a JET discharge. The multi-channel simulation requires ∼0.2 s to simulate 1 second of a JET plasma, corresponding to ∼20 energy confinement times, while predicting experimental profiles within the limits of the transport model. The transport model requires no external inputs except for the boundary condition at the top of the H-mode pedestal. This marks the first time that simultaneous, accurate predictions of Te, Tiand nehave been obtained using a first-principle-based transport code that can run in faster-than-real-time for present-day tokamaks