a81c6520-c116-4e99-810d-23eba79b9b3f English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-12-11T09:21:01 UK GEMINI 2.3 OSGB 1936 / British National Grid Modelled soil carbon and nitrogen pools and soil respiration, under control and drought conditions, related to the climate change experimental fieldsite in Clocaenog forest, UK, using ECOSSE 2025-12-05 publication https://catalogue.ceh.ac.uk/id/a81c6520-c116-4e99-810d-23eba79b9b3f 10.5285/a81c6520-c116-4e99-810d-23eba79b9b3f doi: Albanito, F., Robinson, D.A., Reinsch, S. (2025). Modelled soil carbon and nitrogen pools and soil respiration, under control and drought conditions, related to the climate change experimental fieldsite in Clocaenog forest, UK, using ECOSSE. NERC EDS Environmental Information Data Centre 10.5285/a81c6520-c116-4e99-810d-23eba79b9b3f Soil organic carbon pools, soil water content, and soil respiration were modelled throughout the soil profile under both control and drought conditions, as well as various drought scenarios, utilizing the ECOSSE model (Estimate Carbon in Organic Soils - Sequestration and Emissions). Data collected from climate change experimental plots (control and drought) at Clocaenog forest in North Wales (UK) were employed to parameterize the model. Information from the experimental site spanning from 2009 to 2014 was used to calibrate the process-based model, which simulated four drought scenarios with durations of 12, 24, 48, and 96 years of drought and subsequent recoveries. The ECOSSE model facilitates the modelling of carbon pools, including: 1) decomposable plant material (DPM), 2) resistant plant material (RPM), 3) microbial biomass (BIO), and 4) humified organic matter (HUM). These pools were analysed for their responses to drought conditions, particularly in relation to soil water availability. Both carbon and nitrogen pools were modelled, along with respiration rates. By integrating field observations with process-based modelling, the study used these data to investigate how the frequency of drought influences the ability of organo-mineral soils to sequester carbon. Full details about this dataset can be found at https://doi.org/10.5285/a81c6520-c116-4e99-810d-23eba79b9b3f Fabrizio Albanito UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-2655-5982 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information pointOfContact Albanito, F. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-2655-5982 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Robinson, D.A. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0001-7290-4867 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Reinsch, S. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0003-4649-0677 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk owner NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher Soil theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication Soil Climate and climate change Modelling Hydrology carbon soil carbon pools carbon sequestration drought experimental otherRestrictions no limitations otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions If you reuse this data, you should cite: Albanito, F., Robinson, D.A., Reinsch, S. (2025). Modelled soil carbon and nitrogen pools and soil respiration, under control and drought conditions, related to the climate change experimental fieldsite in Clocaenog forest, UK, using ECOSSE. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/a81c6520-c116-4e99-810d-23eba79b9b3f textTable English utf8 environment -3.466 -3.465 53.055 53.056 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/sd/a81c6520-c116-4e99-810d-23eba79b9b3f.zip Supporting information Supporting information available to assist in re-use of this dataset information https://data-package.ceh.ac.uk/data/a81c6520-c116-4e99-810d-23eba79b9b3f Download the data Download a copy of this data download dataset dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 Continuous meteorological field observations (precipitation and air temperature), soil moisture, vegetation biomass, litter inputs, and soil respiration were collected from control and experimental drought treatments between January 2009 and December 2014 using datasets published as part of the Clocaenog climate change experiment data collection. Total soil respiration was partitioned into autotrophic and heterotrophic components using seasonally varying fractions of respiration which were derived from published literature for comparable heathland systems. Field data were used as inputs to the ECOSSE soil carbon and nitrogen model v6.3.4. ECOSSE stands for Estimate Carbon in Organic Soils - Sequestration and Emissions. Model initialization was carried out assuming steady-state soil carbon conditions prior to experimental manipulation. This steady state was established using long-term monthly climate data (1957-2000) together with measured soil carbon stocks. The forward simulations then explicitly used the 2009-2014 experimental observations to drive the control and drought scenarios. Long-term drought scenarios were imposed for 12-, 24-, 48- and 96-year intervals, each followed by equivalent post-drought recovery phases. ECOSSE was parameterized with site-specific inputs for soil texture, bulk density, soil carbon stocks, vegetation productivity, and hydrology. Plant input quality was related to the high lignin content of heathland vegetation. Soil moisture dynamics were simulated using the ECOSSE tipping-bucket hydrology module adapted from the SUNDIAL model, driven by measured precipitation and Thornthwaite-derived potential evapotranspiration. Multiple QA and validation steps were applied: 1) heterotrophic respiration (Rh) was evaluated against partitioned chamber measurements from the field experiment; 2) a sensitivity analysis was carried out for the seasonal partitioning of respiration into autotrophic and heterotrophic; 3) uncertainty in model simulations was quantified by propagating uncertainty in the most influential climate and soil parameters; 4) the steady-state was validated by checking initial soil carbon pools for equilibrium before the forward drought simulations were initiated.