0c93703a-c185-4dd9-b8d7-8d3698535245 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 2025-11-13T16:25:26 UK GEMINI 2.3 WGS 84 / Pseudo-Mercator Plant cover in a Floridian foredune following hurricane Irma in 2017: effect of experimental wrack removal 2021-06-17 publication 2021-03-11 creation https://catalogue.ceh.ac.uk/id/0c93703a-c185-4dd9-b8d7-8d3698535245 10.5285/0c93703a-c185-4dd9-b8d7-8d3698535245 doi: Griffin, J., Joyce, M., De Battisti, D. (2021). Plant cover in a Floridian foredune following hurricane Irma in 2017: effect of experimental wrack removal. NERC Environmental Information Data Centre 10.5285/0c93703a-c185-4dd9-b8d7-8d3698535245 The dataset contains plant cover by species sampled on three occasions using a grid of 0.5 x 0.5m quadrats within experimental field plots. The percentage cover of each species was estimated visually within each of the nine, 0.5 x 0.5m quadrats in each plot. The total percentage cover was the sum of all individual species’ covers within a quadrat. This study was conducted in the foredune area of Anastasia State Park, located south of St Augustine in Florida, USA between March 2018 to January 2019 Full details about this dataset can be found at https://doi.org/10.5285/0c93703a-c185-4dd9-b8d7-8d3698535245 Griffin, J. Swansea University j.n.griffin@swansea.ac.uk https://orcid.org/0000-0003-3295-6480 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 Joyce, M. Unaffiliated mjoyce2@hotmail.co.uk author De Battisti, D. University of Pisa Davide.de85@gmail.com author Griffin, J. Swansea University j.n.griffin@swansea.ac.uk pointOfContact Swansea University j.n.griffin@swansea.ac.uk owner NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC Environmental Information Data Centre info@eidc.ac.uk publisher hurricane GEMET - Concepts, version 4.1.3 2019-01-28 creation Florida Plant cover Hurricane Irma Wrack removal 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: Griffin, J., Joyce, M., De Battisti, D. (2021). Plant cover in a Floridian foredune following hurricane Irma in 2017: effect of experimental wrack removal. NERC Environmental Information Data Centre https://doi.org/10.5285/0c93703a-c185-4dd9-b8d7-8d3698535245 textTable 100 English utf8 environment biota 2017-01-01 2017-12-31 -81.293 -81.267 29.859 29.91 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/0c93703a-c185-4dd9-b8d7-8d3698535245 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/0c93703a-c185-4dd9-b8d7-8d3698535245.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 In March 2018, five experimental blocks were established in the storm wrack zone within 1km. In each block, three 10 x 10m experimental plots were marked and randomly assigned to ‘control’ procedural control’ or ‘removal’. The control was left undisturbed, the procedural control was treated with wrack removal and replacement, and the removal was treated with wrack removal without replacement. The response of the plant community was monitored immediately after the experiment was set-up (March 2018), and subsequently in August 2018, October 2018, and finally in January 2019. Distributions of all variables screened for unusual values and cross checked against field notebooks.