The dataset contains model output from an agricultural land use model at kilometre scale resolution over Great Britain (GB) for four different climate and policy scenarios. Specifically, arable area is modelled for with or without a climate tipping point (standard (medium emissions scenario SRES-A1B) climate change vs Atlantic Meridional Overturning Circulation (AMOC) collapse) and with or without widespread irrigation use for farmers from 2000 to 2089. Full details about this dataset can be found at https://doi.org/10.5285/e1c1dbcf-2f37-429b-af19-a730f98600f6
This data contains the time series flow discharge results of hydrological simulation of the River Trent at Colwick using UKCP09 Weather Generator inputs for a variety of time slices and emissions scenarios. The Weather Generator (WG) inputs were run on a hydrological model (Leathard et al., unpublished), calibrated using the observed record 1961-2002. Each simulation is derived from 100 30-year time series of weather at the WG location 4400355 for Control, Low, Medium and High emissions scenarios for the 2020s, 2030s, 2040s, 2050s and 2080s time slices. The datasets include the relevant accompanying input WG data. Full details about this dataset can be found at https://doi.org/10.5285/986d3df3-d9bf-42eb-8e18-850b8d54f37b
This dataset contains records of the number of open flowers per plant species in each 2x2m plot on different survey dates. Plots are from two distinct vegetation communities (Herschel, Komakuk, coded in the data as HER and KOM). Plots were monitored in 2017. Funding was provided by the NERC grant NE/M016323/1.
This dataset contains the percentage cover of plant species, bare ground and litter from twelve 1x1m vegetation monitoring plots. Plots are from two distinct vegetation communities (Herschel, Komakuk) approximately 500m apart. Plots were established in 1999 and monitored in 2004, 2009, 2013, 2014, 2015, 2016 and 2017. Data is presented as total percentage cover per species (not relative cover). Funding was provided by the NERC grant NE/M016323/1.
This dataset contains phenological records (timing of life events such as the opening of flowers) for tundra plant species from eight 2x2m monitoring plots. Plots are from two distinct vegetation communities (Herschel, Komakuk, coded in the data as HER and KOM). Plots were established in 2016 and monitored in 2016 and 2017. Data are presented as phenological stages for each monitored plant individual at survey dates across the 2016 and 2017 growing seasons. Flower stalk length, leaf length and new growth length were measured in mm. Active layer depth was measured in cm and was recorded at the corner of each 2x2 m plot. Soil moisture was measured as a percentage. Funding was provided by the NERC grant NE/M016323/1.
This dataset includes six sets of model output from JULES/IMOGEN simulations. Each set includes output from JULES (the Joint UK Land Environment Simulator) run with 34 climate change patterns from 2000-2099. The outputs provide carbon stocks and variables related to the surface energy budget to understand the implications of land-based climate mitigation. Full details about this dataset can be found at https://doi.org/10.5285/333eb066-be07-4209-9dfe-2d9d18560de6
Geological samples collected during the 2010-11 field season from James Ross Island, northeast Antarctic Peninsula.
We present steady-state ice thickness, bed elevation, and ice surface elevation output from simulations of the Antarctic Ice Sheet (AIS) on a suite of reconstructed Antarctic palaeotopographies using the DeConto and Pollard (DP16) ice sheet model. Ice surface mass balance inputs were provided using the GENESIS v3.0 global atmosphere general circulation model coupled to a 50 m slab ocean model, which provides boundary meteorology for the RegCM3 regional climate model. Three climate/ocean scenarios were simulated: (1) cold climate orbital parameters, preindustrial CO2 levels (280 ppm) and modern ocean temperatures, (2) a subsequent shift to warm climate orbital parameters, an increase in CO2 levels to 500 ppm, and a 5 deg C ocean temperature rise, and (3) as for (2), but with CO2 levels increased to 840 ppm. The steady-state simulations were performed on a suite of reconstructed Antarctic palaeotopographies pertaining to the following four time slices: (1) the Eocene-Oligocene boundary (EOB; ca. 34 Ma), (2) the Oligocene-Miocene boundary (OMB, ca. 23 Ma), (3) the mid-Miocene (MM; ca. 14 Ma), and (4) the mid-Pliocene (MP; ca. 3.5 Ma). Simulations were performed for minimum, median, and maximum end-member topographies, and equivalent simulations were run on the modern (ice-free) Antarctic bed topography for comparison. Further details are given in the accompanying publication. For more information, please contact G. Paxman. Funding was provided by NERC Ph.D. studentship NE/L002590/1.
Transcriptomic analyses were undertaken on both in situ collected and experimentally warmed blue mussels (Mytilus edulis) from Greenland. M. edulis were collected from the Godthabsfjorden near Nuuk, Greenland (64.45555, -51.14416) at the following locations and dates: Inner fjord (64.45941, -50.31030) on 11/06/2018; outer fjord (64.19666, -51.69) on 13/06/2018, and sub-tidal (64.19666, -51.69) on 13/06/2018 (outer fjord at 20-40cm below the lowest low water mark). The in situ collected inner and outer fjord intertidal animals with outer fjord subtidal animals used as controls were collected at 27 degree Celsius, 19 degree Celsius and 3 degree Celsius, respectively. Some of the outer fjord subtidal M. edulis were experimentally warmed to 22 degree Celsius and 32 degree Celsius for one hour to mimic high aerial exposure temperatures in the inner and outer fjord intertidal, respectively. RNA-Seq was performed on 5 animals for each treatment, with all subsequent bioinformatics analyses performed by Novogene, China. This work was supported by the Carlsberg Foundation, the Independent Research Fund Denmark (Danmarks Frie Forskningsfond) (DFF-International Postdoc; case no. 7027-00060B), a Marie Sklodowska-Curie Individual Fellowship (IF) under contract number 797387 and Aage V. Jensens Fond (Aage V. Jensens Foundation) and NERC-UKRI core funding to the British Antarctic Survey.
Data comprise tree trait data collected during September and October 2016 (the peak dry season), in the Caxiuanã National Forest Reserve, eastern Amazon, Brazil. 17 traits (including plot type, tree species name, diameter at breast height, tree light score, carboxylation capacity, electron transport capacity, leaf respiration in the dark, stomatal conductance, stem CO2 efflux, leaf mass per area, leaf nitrogen and phosphorus content, branch wood density, leaf water potential, xylem pressure, lumen conductance, percentage loss of conductivity, hydraulic Safety Margin and leaf area to sapwood area ratio) of 176 trees (most common genera) were sampled across two experimental plots: a one-hectare through-fall exclusion plot with a plastic panel structure that excludes 50% of the canopy through-fall and has done since 2002 and a corresponding one-hectare control plot without any drought structure. This data comes from the Caxiuanã through-fall exclusion (TFE) experiment located in the terra firma forest, on yellow oxisol soils at 15 m above sea level, with a mean annual rainfall between 2,000–2,500 mm and a pronounced dry season between June and November. Full details about this dataset can be found at https://doi.org/10.5285/441565b3-0a7d-4d3c-a7a8-7d7b487c1462