3a4aabba-e790-4ac3-b845-936790768330 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 2025-11-13T16:26:24 UK GEMINI 2.3 WGS 84 Seedling growth responses to experimental soil warming in a tropical forest, Panama, 2016-2022 2023-06-01 publication https://catalogue.ceh.ac.uk/id/3a4aabba-e790-4ac3-b845-936790768330 10.5285/3a4aabba-e790-4ac3-b845-936790768330 doi: Nottingham, A., Montero-Sanchez, M., Slot, M., Szczygieł, H.A., Velasquez, E., Meir, P. (2023). Seedling growth responses to experimental soil warming in a tropical forest, Panama, 2016-2022. NERC EDS Environmental Information Data Centre 10.5285/3a4aabba-e790-4ac3-b845-936790768330 Growth parameters for tree seedlings in a lowland tropical forest in Panama, subject to experimental soil warming. The experiment is situated at the Soil Warming Experiment in Lowland Tropical Rainforest (SWELTR) on Barro Colorado Island in Panama, where the whole soil profile is subject to warming by 4-degrees. Seedling species are Inga laurina, Ormosia macrocalyx, Tachigali versicolor, Lacmellea panamensis, Protium pittieri and Virola surinamensis. Data are seedling parameters: relative growth rates, height change over time, herbivory index, light-saturated photosynthesis (Amax), leaf chlorophyll concentration, light (photosynthetic photon flux density; PPFD). We also determined soil nutrient (N and P) mineralisation for the same period using in situ ion-exchange resins each month. Data were collected over the period 2016 to 2020, following 3 years of soil warming. Photosynthesis and leaf chlorophyll content index data were collected in field campaigns during 2019 and 2022, respectively. Full details about this dataset can be found at https://doi.org/10.5285/3a4aabba-e790-4ac3-b845-936790768330 Nottingham, A. University of Leeds a.nottingham@leeds.ac.uk pointOfContact NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher University of Leeds a.nottingham@leeds.ac.uk owner Nottingham, A. University of Leeds a.nottingham@leeds.ac.uk author Montero-Sanchez, M. Smithsonian Tropical Research Institute mariamonterolara@gmail.com author Slot, M. Smithsonian Tropical Research Institute SlotM@si.edu author Szczygieł, H.A. Smithsonian Tropical Research Institute hubert.70@gmail.com author Velasquez, E. Smithsonian Tropical Research Institute elvelasquezv@correo.udistrital.edu.co author Meir, P. University of Edinburgh P.Meir@ed.ac.uk author Inga laurina Lacmellea panamensis Protium pittieri Virola surinamensis Ormosia macrocalyx Tachigali versicolor Wikidata 2012-10-29 creation climate change soil tropical forest nitrogen fixation GEMET - Concepts, version 4.1.3 2019-01-28 creation plant-soil interactions soil warming seedling growth 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., Montero-Sanchez, M., Slot, M., Szczygieł, H.A., Velasquez, E., Meir, P. (2023). Seedling growth responses to experimental soil warming in a tropical forest, Panama, 2016-2022. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/3a4aabba-e790-4ac3-b845-936790768330 textTable 15 English utf8 biota 2016-01-01 2022-12-31 -79.871 -79.818 9.13 9.182 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/3a4aabba-e790-4ac3-b845-936790768330 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/3a4aabba-e790-4ac3-b845-936790768330.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 were collected over the period 2016-2019, with seedling census each 3-months and soil parameters determined monthly. Seedling height was determined by measuring from the soil surface to the shoot apex (apical meristem), using a tape measure. Light was determined by PPFD (Photosynthetic Photon Flux Density; µmol m-2 s-1), measured using a LI-250A light meter (LI-COR, Inc., Lincoln, NE, USA). PPFD was determined monthly above each individual seedling, both on an overcast day and a clear day for each month, providing two metrics of PPFD representing the average conditions on both an overcast and clear day. Light saturated photosynthesis (Asat) was determined using a portable photosynthetic system (LI-6400, LI-COR, Inc., Lincoln, NE, USA) fitted with a standard 2 × 3 cm leaf cuvette with a red-blue LED light source (6400-02B)) and a CO2 mixer (6400-01, LI-COR, Inc., Lincoln, NE, USA). To assess whether soil warming affected nutrient availability to plants, we determined soil nitrogen (N) and phosphorus (P) mineralisation using in situ mixed-bed ion exchange resin membranes (Dowex Marathon Mr-3, Sigma-Aldrich). Resin was prepared by rinsing in 0.5 M HCl for 2 hours and then rinsed with DI H2O. Resin was placed inside nylon bags (5 g resin in each) and installed at 5 cm soil depth in systematically distributed locations in each plot (n = 5 per plot). Resin bags were deployed monthly for three years, and following collection were stored at 4oC until extraction. Extraction was performed using 0.5 M HCl, and PO4, NH4 and NO3, were determined using a Lachat Quickchem 8500 flow injection analyzer (Hach Co., Loveland, CO). Extractable PO4 (total mineralised P) and NH4 and NO3 (total mineralized N) were calculated from the difference between extracted N from resin deployed in the field and resin not deployed (blanks) and expressed as extractable PO4-P, NH4‐N and NO3‐N per g resin per day. We determined relative growth rates (RGR) using a first order power-law model, which is especially suitable for the early stages of seedling growth when growth is rapid and non-asymptotic, but slowing over time: dh / dt = tβ where dh/dt is height increment over time (or RGR). To represent time in our models we used ‘relative month’ where the warming treatment began at relative month = 0. To calculate the power of the relationship (β), we used log-log plots. We determined RGR for each individual seedling (n = 30, 6 individuals per 5 plots; and for 6 species), by calculating the slope of log [seedling height]/log [time in months]. We used the power rate increase β to assess treatment effects on RGR. All data were subject to quality control review prior to statistical analyses in R, by assessing outliers, to ensure correct identification of seedlings and correct use of blanks/standards for determination of final values.