Billion-atom Synchronous Parallel Kinetic Monte Carlo Simulations of Critical 3D Ising Systems

An extension of the synchronous parallel kinetic Monte Carlo (pkMC) algorithm developed by Martinez {\it et al} [{\it J.\ Comp.\ Phys.} {\bf 227} (2008) 3804] to discrete lattices is presented. The method solves the master equation synchronously by recourse to null events that keep all processors time clocks current in a global sense. Boundary conflicts are rigorously solved by adopting a chessboard decomposition into non-interacting sublattices. We find that the bias introduced by the spatial correlations attendant to the sublattice decomposition is within the standard deviation of the serial method, which confirms the statistical validity of the method. We have assessed the parallel efficiency of the method and find that our algorithm scales consistently with problem size and sublattice partition. We apply the method to the calculation of scale-dependent critical exponents in billion-atom 3D Ising systems, with very good agreement with state-of-the-art multispin simulations

Increasing Wheat Yields Sustainably through Agronomic Means

This paper examines common factors that constrain wheat yields: insufficient nutrients (using nitrogen as an example); problems of late planting and poor crop establishment; suboptimal water management;lodging; and weeds. The authors suggest agromonic practices/ including tillage practices, rotations, and input management potions that can ameliorate important constraints and sustainably improve yields. Examples are drawm largely from rice-wheat systems in the Indo-Gangetic Plains and from wheat systems in northwestern Mexico. These examples indicate that there is still considerable potential for raising wheat yields in a sustainable manner and meeting rapidly expanding demand for wheat in developing countries

Variações interanuais na fenologia de uma comunidade arbórea de floresta semidecídua no sudeste do Brasil Interannual variation in the phenology of a tree community in a semideciduous seasonal forest in southeast Brazil

As comunidades arbóreas de florestas tropicais localizadas em regiões com clima sazonal tendem a ajustar a fenologia da queda de folhas e da produção de flores e frutos à sazonalidade climática. Neste estudo monitoramos a comunidade arbórea de uma floresta semidecidual no período de quatro anos (2001 a 2004), a fim de analisar a relação entre o número de espécies perdendo folhas, florescendo e frutificando e a variação anual do comprimento do dia, precipitação e temperatura durante o período de observação. Além disso, avaliamos se essas três fenofases repetem os mesmos padrões em anos sucessivos. Regressões lineares simples indicaram que o número de espécies perdendo folhas foi negativamente relacionado com as três variáveis ambientais para os quatro anos de estudo, sendo o comprimento do dia e a temperatura os melhores preditores para esta fenofase. Houve também relação significativa do comprimento do dia com o número de espécies florescendo e frutificando nos quatro anos, porém, precipitação e temperatura não foram relacionadas com estas fenofases em todos os anos de estudo. Os testes de estatística circular indicaram forte sazonalidade para queda foliar, com data média durante o mês de julho independente do ano, ao passo que para floração e frutificação não foi detectada sazonalidade significativa. Como resultado, o número de espécies perdendo folhas foi correlacionado entre todos os anos sucessivos. Entretanto, não houve correlação do número de espécies florescendo e frutificando em 2003 e 2004, provavelmente devido às altas temperaturas ocorridas neste último ano. Os resultados deste estudo sugerem que a queda de folhas é uma fenofase altamente previsível temporalmente. Ao contrário, a floração e a frutificação podem variar ano a ano como conseqüência de anomalias climáticas. Essas variações podem ser relevantes para o entendimento dos efeitos em longo prazo de mudanças climáticas sobre as florestas sazonais.<br>Tropical tree communities in regions with seasonal climate usually adjust leaf-fall, flowering and fruiting phenology to climate seasonality. Here we monitored a tree community over a 4-year period in order to assess the relationship between the number of species presenting leaf fall, flower and fruit and annual variation in day length, precipitation and temperature. Moreover, we asked whether the three phenological variables have the same patterns in successive years. Simple regression analyses showed that the number of species shedding leaves was negatively related to the three environmental variables during the four years, with day length and temperature as the best predictors. There was also a relationship between day length and the number of species flowering and fruiting, while rainfall and temperature were only related to these phenophases in some years. The circular statistics indicate highly significant seasonality only for leaf fall, whereas for flowering and fruiting significant seasonal patterns were not detected. The number of species in leaf fall was correlated between all successive years. However, the number of species in flower and fruit was not significantly correlated between 2003 and 2004. Overall, our results suggest that leaf fall is highly predictable over time. On the contrary, flowering and fruiting may present year-to-year variation as a result of climatic anomalies such as the high temperatures detected in 2004. These variations may be relevant to understand the effects of climate change on seasonal forests in long-term studies