4ccaab66-2818-41b8-8b31-1a710766c5d6 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 2025-11-13T16:24:45 UK GEMINI 2.3 WGS 84 Fine root morphological properties in fertilised plots in the Central Amazon, 2018 2020-04-02 publication https://catalogue.ceh.ac.uk/id/4ccaab66-2818-41b8-8b31-1a710766c5d6 10.5285/4ccaab66-2818-41b8-8b31-1a710766c5d6 doi: Lugli, L.F., Quesada, C.A., Andersen, K.M., Mercado, L.M., Rosa, J.S., Martins, M.P., Di Ponzio, R., Cunha, H.F., Hartley, I.P. (2020). Fine root morphological properties in fertilised plots in the Central Amazon, 2018. NERC Environmental Information Data Centre 10.5285/4ccaab66-2818-41b8-8b31-1a710766c5d6 The data consists of morphological properties of fine roots in old growth forests in Central Amazon. Fine roots younger than three months were sampled using the ingrowth core technique in a large-scale nutrient fertilisation experiment. Morphological properties are given as a mean of the plant community per plot, where five points inside each plot were sampled and separated in two different soil layers (0-10 and 10-30cm). Samples were collected in February 2018, eight months after the nutrient fertilisation started at the AFEX project area in Manaus, Brazil at the Biological Dynamics of Forest Fragments Project (BDFFP/ INPA). The study was funded by NERC, BDFFP (logistical support) and Brazilian government (student scholarship). Full details about this dataset can be found at https://doi.org/10.5285/4ccaab66-2818-41b8-8b31-1a710766c5d6 Lugli, L.F. National Institute of Amazonian Research laynaralugli@gmail.com https://orcid.org/0000-0001-8404-4841 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 Quesada, C.A. National Institute of Amazonian Research quesada.beto@gmail.com author Andersen, K.M. Nanyang Technological University kelly.andersen@ntu.edu.sg https://orcid.org/0000-0002-1460-9904 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 Mercado, L.M. University of Exeter L.Mercado@exeter.ac.uk https://orcid.org/0000-0003-4069-0838 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 Rosa, J.S. National Institute of Amazonian Research jessica.schmeisk@gmail.com author Martins, M.P. National Institute of Amazonian Research meyre_ripardo@hotmail.com author Di Ponzio, R. National Institute of Amazonian Research rdiponzio@gmail.com https://orcid.org/0000-0002-7527-3594 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 Cunha, H.F. National Institute of Amazonian Research hfcunha.florestal@gmail.com author Hartley, I.P. University of Exeter I.Hartley@exeter.ac.uk https://orcid.org/0000-0002-9183-6617 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 Lugli, L. National Institute of Amazonian Research laynaralugli@gmail.com pointOfContact Hartley , I. University of Essex I.Hartley@exeter.ac.uk pointOfContact NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC Environmental Information Data Centre info@eidc.ac.uk publisher root forest GEMET - Concepts, version 4.1.3 2019-01-28 creation Brazil Manaus GeoNames 2006-01-01 creation Soil Environmental survey otherRestrictions no limitations otherRestrictions © Natural Environment Research Council otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions If you reuse this data, you should cite: Lugli, L.F., Quesada, C.A., Andersen, K.M., Mercado, L.M., Rosa, J.S., Martins, M.P., Di Ponzio, R., Cunha, H.F., Hartley, I.P. (2020). Fine root morphological properties in fertilised plots in the Central Amazon, 2018. NERC Environmental Information Data Centre https://doi.org/10.5285/4ccaab66-2818-41b8-8b31-1a710766c5d6 textTable 1000 English utf8 biota environment 2018-02-01 2018-09-30 -68.5 -31.7 -24.6 5.1 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/4ccaab66-2818-41b8-8b31-1a710766c5d6 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/4ccaab66-2818-41b8-8b31-1a710766c5d6.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 Fine roots in both soil depths (0-10 and 10-30 cm) were subsampled and fine roots <2mm diameter were used to determine root morphological traits and subsequently dried at 60 ˚C to determine dry root mass. Root subsamples were scanned at 600 dpi and analysed using WinRHIZO (WinRHIZO Regular 2015, Regent Instruments, Canada) to provide root mean diameter, total length, area and volume. These were used to determine specific root length (SRL), specific root area (SRA), root tissue density (RTD) and mean root diameter. SRL (cm g-1) was calculated as root length per unit root dry mass, SRA (cm2 g-1) was calculated as root superficial area per unit dry mass and RTD (g cm-3) was calculated as root dry mass per unit root volume.