This data set describes the seed dispersal process of both invaded (presence of Linepithema humile) and non-invaded (absence of L. humile) ant communities. Data were collected from four field sites in and around Girona (41.9794° N, 2.8214° E), Northern Spain, during the summer months of 2014 (June-July) and 2015 (July-September). Experiment 1: Ant community structure of both invaded and non-invaded ant communities was determined using a series of pitfall and baiting traps. Experiment 2: Ant communities were presented with seeds (from eight plant species) via a cafeteria setup and the rate of removal was measured over 24 hours. Experiment 3: A series of 30.25 m2 grids were setup to determine the density (number of nests and number of foraging trails) of both invasive L. humile and native Pheidole pallidula ant species. Experiment 4: Seeds were presented to nests of both the invasive L. humile and native P. pallidula ant species, after 72 hours nests were excavated and the seeds were retrieved. Data was collected from all four experiments to test hypothesis about the dispersal ability of the dominant seed dispersing ant species in both invaded and non-invaded ant communities. Funding was received from a NERC-Case studentship (NE/K007076/1) and COST Action TD1209 (ECOST-STSM-TD1209: 070915-062123, 010715-062122, and 160614-046307) grant. Data provided in its raw format. Full details about this dataset can be found at https://doi.org/10.5285/375d5ea7-db23-408a-b8b3-1d4210256868

Estimates of plant abundance (for leaf area, floral units and seed abundance, mass and energy) obtained from field-based sampling as part of a study of ecological interactions (food webs and plant-pollinator networks) on a single farm (Norwood Farm, Somerset, UK: 51.3128N 2.3206W) during 2007 and 2008. During the study, Norwood Farm was managed as an organic farm at relatively low intensity. The work was was supported by the Biotechnology and Biological Sciences Research Council [grant number BBD0156341]. Full details about this dataset can be found at https://doi.org/10.5285/0c123d4e-186f-48f5-8580-d0696b247287

[This dataset is embargoed until December 31, 2025]. The data set was generated at the University of Birmingham Free Air CO2 Enrichment (BIFoR-FACE) facility where the responses of nutrient transformation processes, litter decomposition, mycorrhizal biomass and turnover and enzyme functions, root exudation rates, root nitrogen uptake rates and preferences were evaluated during the 4th to 6th years of CO2 fumigation (2020-2022) The first hypothesis tested was that trees under elevated CO2 will allocate more carbon belowground (via exudation and symbiotic mycorrhizal fungi) for nutrient acquisition. The second hypothesis tested was the enhanced C allocation belowground will prime microbes for nutrient mineralisation via extracellular enzyme functions to meet enhanced nutrient demands. The third hypothesis tested was that trees would take more nitrogen and that the order preference for different available nitrogen forms is amino acids, ammonium, and nitrate. Coupled with this hypothesis the experimental work included both field and laboratory characterisation of selected variables and their responses to CO2 enrichment including gross N mineralisation, litter decomposition, extracullular enzyme activities, mycorrhizal (arubuscular and ectomycorhizae) characterisation, hyphael turnover, root C and N exudation and root uptake rates and preferences. The data on these variables is provided in CSV files together with metadata files detailing the experimental, analytical and quality control aspects of the data collection, curation and finalisation. These variables were assessed during the fourth to the sixth year of CO2 enrichment at BIFoR-FACE, thus creating a key data for the early responses of CO2 fumigation. Since BIFoR_FACE will continue the experiment into 2030s, thus this data provides the early responses in a long-term experiment of its kind in the UK and in northern temperate environments in the world. Full details about this dataset can be found at https://doi.org/10.5285/a05b9519-f0c8-48ef-a9c6-43d0326f590f