6 Works

LARS-WG stochastic weather generator

Mikhail Semenov
LARS-WG 6.0, a stochastic weather generator, is a computationally inexpensive downscaling tool to generate local scale climate scenarios based on global or regional climate models for impact assessments of climate change. LARS-WG has been used in more than 75 countries for research and education. The current version of LARS-WG incorporates climate projections from the CMIP5 ensemble used in the IPCC Fifth Assessment Report. LARS-WG has been well validated in diverse climates around the world.

Urination data for Welsh Mountain ewes grazing upland and lowland pastures in North Wales, 2016

K.A. Marsden, L. Lush, J.A. Holmberg, M.J. Whelan, A.J. King, R.P. Wilson, A.F. Charteris, L.M. Cardenas, D.L. Jones & D.R. Chadwick
The data contains urination metrics including frequency, volume, chemical composition, estimated urine patch N loading rates and metabolomics profile of individual urine events from sheep (Welsh Mountain ewe) grazing a semi-improved upland pasture and a lowland improved pasture located in North Wales, UK. Urine collection studies were run in the spring, summer and autumn of 2016 for the semi-improved site and in autumn of 2016 on the lowland improved pasture. Sheep were housed in urine...

Do ecological specialization and functional traits explain the abundance–frequency relationship? Arable weeds as a case study

Guillaume Fried, Laura Armengot, Jonathan Storkey, Bérenger Bourgeois, Sabrina Gaba, Cyrille Violle & François Munoz
Aim: The abundance-frequency relationship (AFR) is among the most-investigated pattern in biogeography, yet the relative contributions of niche-based processes related to ecological strategies, and of neutral processes related to spatial colonization-extinction dynamics, remains uncertain. Here, we tested the influences of ecological specialization and functional traits on local abundance and regional frequency, to determine the contribution of niche-based processes. Location: France and the UK. Taxon: Vascular plants. Methods: We used two arable weed surveys covering 1544...

Sirius wheat model

Mikhail Semenov
Sirius is a process-based crop simulation modeldeveloped in C# for Windows computes. Initially developed for wheat, Sirius has been extended to model inter-plant competition and other species. Sirius is a well validated model and was able to simulate accurately crop growth in a wide range of environments, including Europe, USA, New Zealand and Australia, and for experiments of climate change, e.g. Free-Air Carbon Dioxide Enrichment (FACE) experiments.

Mineral and biological ice-nucleating particles above the South East of the British Isles

Alberto Sanchez-Marroquin, Jonathan West, Ian Burke, Jim McQuaid & Benjamin Murray
Dataset associated to the publication: https://doi.org/10.1039/D1EA00003A. It contains the location, INP concentration, chemical composition, ice-nucleating density of active sites and bioaerosol concentrations of the samples used in this publication.

Eco-evolutionary outsiders: establishing in a distantly related neighbourhood delays and reorganizes nutrient recycling

Xu Pan, Mathieu Santonja, Pierre-Emmanuel Courty, Olaf Butenschön, Matty Berg, Phil Murray, Benjamin Yguel, Daphnée Brulé & Andreas Prinzing
Rapid environmental change forces long-lived plants like trees to immigrate into zones still occupied by phylogenetically distantly related species. Does such phylogenetic isolation (PI) change the trees’ ecosystem functioning such as litter decomposition? We studied oaks (Quercus petraea) of low and high PI, reciprocally transplanting their litters to identify effect of aboveground litter quality and belowground decomposer biota. Across 8 and 14 months we quantified decomposition (mass loss, C-loss and N-loss), decomposer biota (Acari, Collembola,...

Registration Year

  • 2021

Resource Types

  • Dataset


  • Rothamsted Research
  • National Research Institute for Agriculture, Food and Environment
  • Bangor University
  • Centre d'Ecologie Fonctionnelle et Evolutive
  • VU University Amsterdam
  • University of Rennes 1
  • Forschungsinstitut für biologischen Landbau
  • Laboratoire Interdisciplinaire de Physique
  • University of Leeds
  • Grenoble Alpes University