43dc564c-2054-4e5a-950c-031d35521ebf 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 2025-11-13T16:25:49 UK GEMINI 2.3 WGS 84 Invasion dynamics of Pinus radiata following fire occurrence in South-Central Chile 2025-04-02 publication 2024-11-21 creation https://catalogue.ceh.ac.uk/id/43dc564c-2054-4e5a-950c-031d35521ebf 10.5285/43dc564c-2054-4e5a-950c-031d35521ebf doi: Langdon, B., Sánchez, P., Pauchard, A. (2025). Invasion dynamics of Pinus radiata following fire occurrence in South-Central Chile. NERC EDS Environmental Information Data Centre 10.5285/43dc564c-2054-4e5a-950c-031d35521ebf This dataset was constructed to characterise the invasion dynamics of Pinus radiata from seeds released from commercial plantations into surrounding areas, preferably those dominated by native species, in two situations: after the occurrence of forest fires and in the absence of them. Demographic data were collected concerning three key factors of the invasion process: a) The seed source, in this case, the commercial plantation, where the age, tree density, cone production, and the proportion of cones that remained closed were recorded; b) the characteristics of the habitat surrounding the plantation, as a receiving system for the seeds; this included an assessment of ground cover, understory cover, and canopy cover; and c) The natural regeneration of P. radiata was evaluated regarding its density, ages, heights, and the presence of cones. Information was collected in five geographic areas of Chile: in three of them we were able to establish six study sites per area (three burned and three unburned sites), but in two regions there were no register of recent fires, so only three unburned sites per area were established. Three transects were established in each study site. Fires occurred between 2010 and 2021, and data was collected between 2020 and 2021. Full details about this dataset can be found at https://doi.org/10.5285/43dc564c-2054-4e5a-950c-031d35521ebf Langdon, B. Universidad de Concepción barbaralangdon@gmail.com https://orcid.org/0000-0001-8397-1774 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 Langdon, B. Universidad de Concepción barbaralangdon@gmail.com https://orcid.org/0000-0001-8397-1774 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 pointOfContact Sánchez, P. Universidad de Concepción PSANCHEZ2017@udec.cl author Pauchard, A. Universidad de Concepción Pauchard@udec.cl https://orcid.org/0000-0003-1284-3163 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 Universidad de Concepción EMAIL NOT PROVIDED owner NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher Pinus radiata Wikidata 2012-10-29 creation Climate and climate change Biodiversity Invasive species wildfire invasive alien species south-central Chile Monterey pine 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: Langdon, B., Sánchez, P., Pauchard, A. (2025). Invasion dynamics of Pinus radiata following fire occurrence in South-Central Chile. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/43dc564c-2054-4e5a-950c-031d35521ebf textTable English utf8 environment biota 2020-01-01 2021-12-31 -73.652 -70.159 -37.3 -35.3 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/43dc564c-2054-4e5a-950c-031d35521ebf Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/43dc564c-2054-4e5a-950c-031d35521ebf.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 order to characterise the plantation, three squared 20x20 m plots were established under the plantation stand in each site. Plantation density (trees/ha) if possible, tree height (m) and serontinity level (percentage of open and closed cones related to total cones on each tree sampled on plantation canopy) was determined. Other data such as plantation year, and year of fire occurrence was collected from plantation owners. To register the number of open and closed cones, three trees were randomly selected at each site and two observers counted the number of cones still present in the canopy using binoculars for taller trees. Tree height was estimated using a hypsometer. On each sampling site, starting from plantation edge, three 2 m wide transects were established. Each transect was divided into 10 m long sections and went on for as long as possible (depending on the native patch size) and into a maximum of 100 m long sections, to characterise the first wave of invasion (sensu Richardson and Higgins (1998) originated from short distance dispersal (Figure 3). On each section, all P. radiata wilding trees were registered, together with the height of the tallest tree (m) and its age (years). To characterise the native patch neighbouring the commercial plantation, data was collected from the same three established transects. In each section the percentage of ground, understory and canopy cover was determined following Braun-Blanquet abundance-cover index. In this case, we used 5 categories, starting from 0 to 4. There are some missing data regarding the commercial plantation (height, density), because in some cases no trees survived the fires.