4077c5f8-9a36-4112-8a86-604ccffbb363 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 2025-11-24T14:57:10 UK GEMINI 2.3 WGS 84 Soil microbial carbon cycling parameters, necromass carbon content, and soil-environmental properties for two experimental systems over a 3.4 km elevation gradient in Peru 2025-11-19 publication https://catalogue.ceh.ac.uk/id/4077c5f8-9a36-4112-8a86-604ccffbb363 10.5285/4077c5f8-9a36-4112-8a86-604ccffbb363 doi: Nottingham, A., Karhu, K., Salinas, N., Sietiö, O., Martin-Vivanco, A.K., Wanek, W., Schnecker, J., Meir, P. (2025). Soil microbial carbon cycling parameters, necromass carbon content, and soil-environmental properties for two experimental systems over a 3.4 km elevation gradient in Peru. NERC EDS Environmental Information Data Centre 10.5285/4077c5f8-9a36-4112-8a86-604ccffbb363 This dataset contains soil microbial carbon cycling parameters (growth, respiration, carbon use efficiency) using O18-incorporation into DNA method, microbial biomass by fumigation-extraction), bacterial and fungal necromass concentrations (by amino sugars), soil chemical properties (nutrients, pH), and soil extracellular enzyme activities and climate properties for two experimental soil systems. All measurements are made across two experimental systems over a 3.4 km elevation gradient in the Peruvian Andes (Manu National Park). The first system includes measurements for 14 x 1 ha permanent sampling plots situated across the 3.4 km elevation gradient. The second system includes measurements for a soil translocation experiment where soil cores were translocated reciprocally across 4 sites spanning the gradient; representing a temperature manipulation experiment. The measurements were collected after 11 years of temperature manipulation, in 2020-2021. This dataset was created to understand how temperature affects microbial carbon cycling process in soils, across two different time-frames (long-term vs 11-years of climate perturbation). Full details about this dataset can be found at https://doi.org/10.5285/4077c5f8-9a36-4112-8a86-604ccffbb363 Andrew Nottingham University of Leeds A.Nottingham@leeds.ac.uk pointOfContact Nottingham, A. University of Leeds A.Nottingham@leeds.ac.uk author Karhu, K. University of Helsinki kristiina.karhu@helsinki.fi author Salinas, N. Pontificia Universidad Católica del Peru nsalinasr@pucp.pe author Sietiö, O. University of Helsinki outi-maaria.sietio@hamk.fi author Martin-Vivanco, A.K. University of Helsinki angela.martinvivanco@helsinki.fi author Wanek, W. University of Vienna wolfgang.wanek@univie.ac.at author Schnecker, J. University of Vienna joerg.schnecker@univie.ac.at author Meir, P. University of Edinburgh P.Meir@ed.ac.uk author University of Leeds EMAIL NOT PROVIDED owner NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian Soil Climate and climate change soil ecology tropical forest soil carbon climate warming soil microbes carbon use efficiency 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: Nottingham, A., Karhu, K., Salinas, N., Sietiö, O., Martin-Vivanco, A.K., Wanek, W., Schnecker, J., Meir, P. (2025). Soil microbial carbon cycling parameters, necromass carbon content, and soil-environmental properties for two experimental systems over a 3.4 km elevation gradient in Peru. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/4077c5f8-9a36-4112-8a86-604ccffbb363 textTable English utf8 environment -73.136 -68.834 -13.48 -11.572 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/4077c5f8-9a36-4112-8a86-604ccffbb363 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/4077c5f8-9a36-4112-8a86-604ccffbb363.zip Supporting information Supporting information available to assist in re-use of this dataset information 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 Data are soil properties (with some environmental metadata) for two experimental systems: 1) transect: 14 forest sites across a 3.4km elevation transect in the Peruvian Andes and 2) translocation: samples collected from 50cm deep 10cm diameter soil cores that were translocated for 11 years across 4 sites for the same elevation gradient, representing a long-term temperature manipulation. Soil samples were collected using a soil auger (3 cm diameter) at 0-20 cm mineral soil depth, with five subsamples collected per plot corner, and the subsamples were mixed into one sample per plot corner. The total C data reported are for surface soils (0-10 cm depth), with 4 spatial replicates across each 1-ha plot. For the translocation soil samples (replication of three for each of the 'soil origin' and each 'site destination'), soils were collected from the translocated soil cores using a 3-cm diameter auger to collect mineral soil at 0-20 cm depth for all samples. Processing: Soil chemical and enzyme data determined and processed at the biogeochemical laboratory at the Smithsonian Tropical Research Institute; amino sugar data determined and processed at the University of Helsinki; CUE data determined and processed at The University of Vienna. Data were assessed using standard quality control protocols (internal standards, blanks, calibrations) at each respective laboratory facility for data generation: Smithsonian Tropical Research Institute, University of Vienna, University of Helsinki. All data were assessed during 2020-2021. Data limitations: This study uses a space-for-time approach to study long-term temperature effects on soil carbon cycling. Therefore insights into temperature response of soil carbon cycling properties based on these data require consideration of the specific characteristics of these experimental sites, such as co-variation in rainfall, soil geology and plant communities. In addition, the translocation experiment uses a reductionist approach to isolate soil processes in the absence of plant root systems and data reflect an 11 year temperature treatment in the absence of plant roots.