6 Works

Boreal forest floor greenhouse gas emissions across a wildfire-disturbed chronosequence

K.E. Mason, S. Oakley, L.E. Street, M. Arróniz-Crespo, D.L. Jones, T.H. DeLuca & N.J. Ostle
Data collected during field experiments to investigate the effect of wildfires on greenhouse gas emissions across forests of differing ages in Sweden. Data comprise greenhouse gas measurements, soil horizon depth, bulk density, loss on ignition, pH, soil phosphorus, carbon and nitrogen, plant species cover, air temperature, soil temperature, soil moisture and surface leaf moisture. Greenhouse gas measurements were taken in the field. Soil cores were collected, then processed and analysed in the laboratory. Plant species...

Data from: Spatial correlated games

Ramon Alonso-Sanz
The games are played in a two-dimensional lattice where the players interact with their neighbours. Four game-types are scrutinized by allowing the players to adopt the strategy of their best paid mate neighbour in iterated games. Particular attention is paid in the study to the effect of variable degree of correlation on Nash equilibrium strategy pairs.

Data from: Plant water potential improves prediction of empirical stomatal models

William R. L. Anderegg, Stephen Pacala, John S. Sperry, Brendan Choat, Daniel J. Chmura, Thomas Kolb, Frederick Meinzer, Pilar Pita, Víctor Resco De Dios & Brett T. Wolfe
Climate change is expected to lead to increases in drought frequency and severity, with deleterious effects on many ecosystems. Stomatal responses to changing environmental conditions form the backbone of all ecosystem models, but are based on empirical relationships and are not well-tested during drought conditions. Here, we use a dataset of 34 woody plant species spanning global forest biomes to examine the effect of leaf water potential on stomatal conductance and test the predictive accuracy...

Data from: Scale dependencies and generalism in host use shape virus prevalence

Michael McLeish, Soledad Sacristan, Aurora Fraile & Fernando Garcia-Arenal
Processes that generate the distribution of pathogens and their interactions with hosts are not insensitive to changes in spatial scale. Spatial scales and species traits are often selected intentionally, based on practical considerations, ignoring biases that the scale and type of observation may introduce. Specifically, these biases might change the interpretation of disease-diversity relationships that are reported as either ‘dilution’ or ‘amplification’ effects. Here, we combine field data of a host-pathogen community with empirical models...

Data from: A quantum Samaritan’s dilemma cellular automaton

Ramon Alonso-Sanz & Haozhen Situ
The dynamics of a spatial quantum formulation of the iterated Samaritan’s dilemma game with variable entangling is studied in this work. The game is played in the cellular automata manner, i.e. with local and synchronous interaction. The game is assessed in fair and unfair contests, in noiseless scenarios and with disrupting quantum noise.

Data from: The impact of host genetic diversity on virus evolution and emergence

Cristina Rodríguez-Nevado, Tommy T-Y Lam, Edward C. Holmes & Israel Pagán
Accumulating evidence indicates that biodiversity has an important impact on parasite evolution and emergence. The vast majority of studies in this area have only considered the diversity of species within an environment as an overall measure of biodiversity, overlooking the role of genetic diversity within a particular host species. Although theoretical models propose that host genetic diversity in part shapes that of the infecting parasite population, and hence modulates the risk of parasite emergence, this...

Registration Year

  • 2017

Resource Types

  • Dataset


  • Technical University of Madrid
  • Bangor University
  • Princeton University
  • Centre for Ecology & Hydrology
  • UK Centre for Ecology & Hydrology
  • Institute of Dendrology
  • University of Edinburgh
  • Northern Arizona University
  • University of Hong Kong
  • Smithsonian Tropical Research Institute