[THIS DATASET HAS BEEN WITHDRAWN]. This dataset includes litterfall data from the experimental plots at the Climoor field site in the Clocaenog forest, NE Wales. Litterfall (natural senesced plant material) was collected in litterfall traps (12 x 7.5cm pots standing slightly proud of the soil/litter surface, emptied monthly). Litterfall was calculated by drying the contents of the traps and weighing the samples; values were calculated for each quadrat (total weight (g) only) and for each plot (total weight (g) and weight per metre squared (g/m2)). Data spans the periods Oct 1999 to Jan 2004 and July 2008 to June 2011. Full details about this dataset can be found at https://doi.org/10.5285/dd4dfc72-dafe-44a2-af2b-0118d949d7ad

The data consists of leaf traits and nutrients from litterfall in a fertilised old-growth forest in the Central Amazon. Data was collected in a full factorial nutrient addition experiment (nitrogen, phosphorus, and cation treatments). The dataset includes realized leaf area, and Leaf Mass Area (LMA). The field work was completed in August of 2017, 2018 and 2019. The study was funded by NERC, BDFFP (logistical support), and the Brazilian government (students' scholarship). Full details about this dataset can be found at https://doi.org/10.5285/58b66cdf-451c-42e7-8153-c24ec30631fd

This dataset includes measurements made during a laboratory-based study conducted between 10/2020 – 03/2021 on mineral amended soils with additions of two 13C labelled plant litters of contrasting quality. Data collected include: soil respiration (Carbon Dioxide (CO2))¬, total C content of bulk and soil fractions including mass and C recovery as a measure of the efficacy of the fractionation method, 13C enrichment of CO2 and soil fractions expressed as litter derived C, microbial data from bacterial (16S Small subunit ribosomal RNA) and fungal (internal transcribed spacer region 2) high throughput sequences. These data were collected to determine the relative effects of litter quality and soil mineralogy on the formation of soil C from plant material and may be useful to link plant inputs, soil microbes and soil mineralogy in the next generation of SOC models. Resolving the key fundamental mechanisms that control SOM persistence is crucial to optimise land management for SOC and predict soil C feedback to climate change. The experiment was part of the NERC project NE/S005137/2 Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/fddf7d9d-9694-4167-bbfe-8fb9d49f02a7

Ecosystem productivity data primarily from two forest census plots, NYO-03 and VEN-02, located in the Pastaza-Marañón Basin in Amazonian Peru. Site NYO-03 is a peatland pole forest, and Site VEN-02 is a palm swamp. The aim of the measurements was to estimate and compare rates of litter and root production and decay at the two sites, over a complete annual cycle, in order to understand the dynamics of carbon accumulation in peat in this region. Selected datasets extend to other sites, in order to provide some context for the measurements from NYO-03 and VEN-02. Downcore data from peat cores from the sites provide palaeoecological information. Full details about this dataset can be found at https://doi.org/10.5285/e34dc4c7-57d8-4120-921b-06d2f25d5e04

Data from two laboratory-based studies, both investigating the interactive effects of abiotic and biotic controls on peatland carbon cycling. Data comprise carbon dioxide and methane fluxes in peat, litter mass remaining and respiration rate data from litter bags on peat mesocosms, and biochemical and physical properties of peat. Data was collected in from the first laboratory study, which focused on identifying the interactive effects of small-scale temperature change, water table level and plant functional type legacy effects in peat on carbon dioxide (CO2) and methane (CH4) fluxes from peat collected from Black Law Wind Farm, Lanarkshire, Scotland. Data includes CO2 and CH4 fluxes from peat mesocosms (sampled in May 2011), measured six times from October 2011 to September 2012. Data collected from the second laboratory study between October 2012 and October 2013 focused on identifying the interactive effects of small-scale temperature change and plant functional type legacy effects in peat and litter on decomposition in peatlands, and included litter mass remaining (% of initial litter mass) and respiration rate data from litter bags on peat mesocosms. Peat and litter used in this laboratory study were collected from blanket bog peatland at Black Law Wind Farm, Lanarkshire, Scotland in October 2012. Peat and litter used in both studies were analysed for their biochemical and physical properties. Biochemical and physical properties data for the first laboratory study includes bulk density, pH, total carbon (C) content, total nitrogen (N) content, ratio of C to N, C stock, N stock, total phospholipid fatty acids (PLFAs), total fungal PLFAs, total bacterial PLFAs, ratio of fungal to bacterial PLFAs, total gram-positive bacterial PLFAs, total gram-negative bacterial PLFAs and ratio of gram-positive to gram-negative bacterial PLFAs of peat. Biochemical and physical properties data for the second laboratory study include total carbon (C) content, total nitrogen (N) content and the ratio of C to N for peat and litter. Biochemical and physical data properties for peat and litter were used to better understand the effects of plant functional type legacy on greenhouse gas fluxes and litter decomposition. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/e15fbbab-1cdd-4509-81a3-aa050e927dd0

[This dataset is embargoed until March 12, 2026]. The data resource consists of soil chemical measurements for two aims: 1) to characterise soils of plots where we conducted management experiences to restore secondary forests affected by invasions, and 2) to assess the impacts of tree invasions on the chemical parameters of soils., by comparing native and invaded forest plots. All plots were established on invaded sub-tropical mountain secondary forests (Yungas) in the Horco Molle experimental reserve and Parque Sierra de San Javier (Horco Molle), Tucumán, Argentina. For the first aim, we took samples from the six plots established in July 2020. Each plot is 240 metres by 140 metres, 3.36 hectares for each plot (location specified in the related dataset); for the second aim, we included plots that belong to the Red Subtropical de Parcelas Permanentes (Ceballos et al., 2022 ). Those plots are 1 ha each (100 m by 100 m) and were established in 1991, and trees are censused every five years. At each plot, we took samples at five random points (seven for the objective 1). At each point, we collected litter and soil at three different depths (0-10, 10-30, 30-50 cm) for posterior physical (bulk density) and chemical determination (organic carbon, total nitrogen, extractable phosphorus, cation exchange capacity, exchangeable cations calcium, magnesium, sodium and potassium, pH) in the laboratory. The work was carried out as part of NERC-GCB grant 2022GCBCCONTAIN- Invasive alien species management to decrease impacts on biodiversity, rural poverty and carbon storage. Full details about this dataset can be found at https://doi.org/10.5285/83dd24b5-5c3a-4334-91c3-b0a1afd1395f

This dataset contains quantitative measurements of woodland structure and composition sampled in twenty-seven different villages across three Districts in Mozambique, Africa. Data were collected from 431 plots where tree stem structure and composition, litter and grass biomass, coarse woody debris, and canopy cover data were recorded. Woodlands within seven villages in Mabalane District, Gaza Province, ten villages in Marrupa District, Niassa Province, and ten villages in Gurue District Zambezia Province were sampled. Data were collected in Mabalane between May-Sep 2014, Marrupa between May-Aug 2015, and Gurue between Sep-Dec 2015. This dataset was collected as part of the Ecosystem Services for Poverty Alleviation (ESPA) funded ACES project , which aims to understand how changing land use impacts on ecosystem services and human wellbeing of the rural poor in Mozambique. Full details about this dataset can be found at https://doi.org/10.5285/70b5cdda-72df-4007-b10e-d75b4046e603

Data from a field-based investigation into the spatio-temporal variability of abiotic and biotic controls on peatland carbon cycling. Data was collected between February 2011 and April 2013, across an area of blanket bog peatland at Black Law Wind Farm, Lanarkshire, Scotland. Plant-soil properties data includes total carbon content, total nitrogen content and carbon to nitrogen ratio of vegetation, litter and peat, carbon and nitrogen stock for litter and peat, bulk density, soil moisture content, pH and soil microbial community composition of peat (Phospholipid Fatty Acids). Peatland carbon cycling data includes measures of litter decomposition, dissolved organic carbon concentration, methane fluxes, net ecosystem exchange, photosynthesis and ecosystem respiration. Physical parameters measured includes below ground temperature from April 2011 to June 2012 and soil moisture content from May 2011 to April 2013. Full details about this dataset can be found at https://doi.org/10.5285/99416ba1-b670-4a82-8225-9644293fb4de