Forecasting phenology: from species variability to community patterns

Shifts in species’ phenology in response to climate change have wide‐ranging consequences for ecological systems. However, significant variability in species’ responses, together with limited data, frustrates efforts to forecast the consequences of ongoing phenological changes. Herein, we use a case study of three North American plant communities to explore the implications of variability across levels of organisation (within and among species, and among communities) for forecasting responses to climate change. We show how despite significant variation among species in sensitivities to climate, comparable patterns emerge at the community level once regional climate drivers are accounted for. However, communities differ with respect to projected patterns of divergence and overlap among their species’ phenological distributions in response to climate change. These analyses and a review of hypotheses suggest how explicit consideration of spatial scale and levels of biological organisation may help to understand and forecast phenological responses to climate change.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/92151/1/j.1461-0248.2012.01765.x.pd

Parmbsc1: A refined force-field for DNA simulations

We present parmbsc1, a force field for DNA atomistic simulation, which has been parameterized from high-level quantum mechanical data and tested for nearly 100 systems (representing a total simulation time of ∼140 μs) covering most of DNA structural space. Parmbsc1 provides high-quality results in diverse systems. Parameters and trajectories are available at http://mmb.irbbarcelona.org/ParmBSC1/

Crisis energética. Preparándonos para el Oil-Crash

11 pages, 6 figuresLas previsiones de producción de petróleo realizadas por la Agencia Internacional de la Energía son cada día peores. Hay determinados grupos de científicos que las interpretan a la baja debido a que lo que de verdad interesa no es saber cuánta energía hay en el subsuelo, en forma de petróleo, gas o carbón, sino cuánta energía neta nos queda después de extraerla. [...]Peer reviewe

Debats del CDDECMA : Mobilitat per a tots

El director del CDDECMA, Sr. Arturo Aguinaga, i el director de l’ETSECCPB , Sr. Francesc Robusté, van organitzar el debat “ Mobilitat per a tots ”, en què van intervenir el Sr. Pere Macias, Secretari General Adjunt de la Federació de Convergència i Unió; el Sr. Manel Nadal, Secretari per a la Mobilitat ( Conselleria d’Obres Públiques, Departament de Política Territorial); el Sr. Pau Noy, Enginyer Industrial, President de l’Associació per a la Promoció del Transport Públic; el Sr. Carlos Corral, Enginyer Urbanístic. El moderador i ponent d’aquest debat va ser el Sr. Ole Thorson, Enginyer de Camins Canals i Ports

PARMBSC1: A refined force-field for DNA simulations

We present parmbsc1, a force field for DNA atomistic simulation, which has been parameterized from high-level quantum mechanical data and tested for nearly 100 systems (representing a total simulation time of ~140 μs) covering most of DNA structural space. Parmbsc1 provides high-quality results in diverse systems. Parameters and trajectories are available at http://mmb.irbbarcelona.org/ParmBSC1/.MO thanks Spanish Ministry of Science (BIO2012-32868), the Catalan SGR, the Instituto Nacional de Bioinformática, and the European Research Council (ERC_SimDNA) for support. MO is an ICREA academia researcher. MO thanks CPU/GPU time on MareNostrum/MinoTauro (BSC). CAL, SAH and AN thanks the UK HECBioSim Consortium for HPC time on ARCHER (Grant EP/L000253/1). AN was supported by the Biotechnology and Biological Sciences Research Council (BBSRC, grant number BB/I019294/1), and thanks ARC Leeds for computational resources. PDD is a PEDECIBA and SNI (ANII, Uruguay) researcher. DAC thanks Chunmei Liu for assistance with the crystal simulation analysis.Peer Reviewe

Parmbsc1: A refined force-field for DNA simulations

We present parmbsc1, a force field for DNA atomistic simulation, which has been parameterized from high-level quantum mechanical data and tested for nearly 100 systems (representing a total simulation time of ∼140 μs) covering most of DNA structural space. Parmbsc1 provides high-quality results in diverse systems. Parameters and trajectories are available at http://mmb.irbbarcelona.org/ParmBSC1/

Parmbsc1: A refined force-field for DNA simulations

We present parmbsc1, a force field for DNA atomistic simulation, which has been parameterized from high-level quantum mechanical data and tested for nearly 100 systems (representing a total simulation time of ∼140 μs) covering most of DNA structural space. Parmbsc1 provides high-quality results in diverse systems. Parameters and trajectories are available at http://mmb.irbbarcelona.org/ParmBSC1/