Biodiversity Data Journal :
Data Paper (Biosciences)
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Corresponding author: Ricardo Díaz-Delgado (rdiaz@ebd.csic.es)
Academic editor: Jörg Holetschek
Received: 11 Oct 2024 | Accepted: 01 Nov 2024 | Published: 11 Dec 2024
© 2024 Ricardo Díaz-Delgado, Mizar Torrijo-Salesa, Luis Alfonso Ramírez González, Antonio Alcaide, David Antonio Paz Sánchez, David Aragonés, Diego López, Isidro Román Maudo, José Ruiz-Martín, Javier Bustamante, Rocío Márquez-Ferrando
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Díaz-Delgado R, Torrijo-Salesa M, Ramírez González LA, Alcaide A, Paz Sánchez DA, Aragonés D, López D, Román Maudo I, Ruíz-Martín J, Bustamante J, Márquez-Ferrando R (2024) Long-term monitoring of woody plants of Doñana shrublands (SW Spain) from 2008 to 2023. Biodiversity Data Journal 12: e139074. https://doi.org/10.3897/BDJ.12.e139074
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The long-term monitoring of the plant cover of Doñana shrublands is part of a harmonised protocol for the Long-term Ecological Monitoring Programme of Natural Resources and Processes targeting Terrestrial Vegetation. The general aim of this protocol is to monitor and assess the dynamics and trends of shrubland plant communities in Doñana. For shrublands, percentage cover is recorded annually, starting in 2008, by the Doñana Long-Term Monitoring Team in one field sampling campaign per year during the flowering season (between March and May) across 21 permanent square plots (15 m x 15 m). Permanent plots were located according to stratified random sampling according to the topographic gradient defining the main shrubland species dominance in the Doñana Biological Reserve. Cover is measured using the line intercept method in three transects inside the plots of 15 m length, orientated from west to east and located at fixed points of 2.5, 7.5 and 12.5 metres on both sides of the plot. Using the line-intercept method, the coverage of each species per individual is measured with a measuring tape, recording its class age (adult or seedling) and canopy status (green or dry) as a living or dead specimen. The average plant height is recorded for every transect. This method enables the calculation of the total percentage cover per species and plant density for transects and plots, as well as the total percentage cover per class age and the total percentage cover of dry and green canopies and bare soil. The annual species richness and diversity of woody plants can also be calculated for every plot.
This paper presents the latest published version of the standardised dataset of percent cover per woody plant species of Doñana long-term monitoring plots available at GBIF.org.
Doñana Biological Reserve, line-intercept method, long-term ecological research, percentage cover, sampling event, species coverage, terrestrial vegetation, Unique Scientific and Technical Infrastructure
Shrublands are widely distributed plant communities in the Mediterranean Basin. Shrubs are small-to-medium-sized perennial woody plants occupying vast areas in the Mediterranean Region. Shrubland plant communities provide several ecosystem services (
Mediterranean-type shrubs widely dominate the vegetation in the terrestrial aeolian sands of Doñana National Park. A xerophytic shrub community dominates the drier and stabilised sand dunes, mainly composed of Cistaceae and Lamiaceae species (Halimium halimifolium (L.) Willk., H. commutatum Pau, Cistus libanotis L., Lavandula stoechas L. and Rosmarinus officinalis L.). Low areas and depressions are usually closer to the water table and are dominated by heathland (Erica scoparia L., Calluna vulgaris (L.) Hill) protected by the European Habitats Directive as Atlantic decalcified fixed dunes (Calluno-Ulicetea, Habitat type 2150). A transitional plant community has also been described between xerophytic shrubs and heathland as a mixed scrub of species from humid and xeric shrublands. Mediterranean shrublands cover a large area of Doñana National Park (ca. 7000 ha in 2019, around 33% of terrestrial vegetation according to
Long-term Doñana monitoring by the Unique Scientific and Technical Infrastructure of Doñana Biological Reserve (ICTS-RBD) (ref.: 202030E286)
Ricardo Díaz-Delgado, Mizar Torrijo-Salesa, Luis Alfonso Ramírez González, Antonio Alcaide, David Antonio Paz Sánchez, David Aragonés, Diego López, Olga Ceballos, Isidro Román Maudo, Alejandria Rojas, Juan Tenorio, Katrin Schmidt, Jose Ruíz-Martín, Javier Bustamante, Rocío Marquez-Ferrando
Doñana LTSER (Long-Term Socio-Ecological Research) Platform. Doñana Protected Area. Doñana National Park. Doñana Biological Reserve (RBD).
The Doñana Long-Term Monitoring Programme has been carried out by ICTS-RBD (Unique Scientific and Technical Infrastructure of Doñana Biological Reserve) since 2004. Certain monitoring and survey activities have already started in the 1980s, focusing on birds and endangered species, such as the Iberian Lynx or the Imperial Eagle. The integrated programme started in 2003, when it was extended and funded to monitor biodiversity and ecological processes targeting species, habitats and populations, as well as ecosystem structure, function and services. Long-term data systematically collected provide a baseline for decision-making and the assessment of management actions in order to minimise the impact of global change and local drivers. Results and reports are annually published and provided to the Protected Area Managers and Practitioners and to the regional authorities through the CSIC open access repository.
National Parks Autonomous Agency (OAPN) between 2002–2007; Singular Scientific and Technical Infrastructures from the Spanish Science and Innovation Ministry (ICTS-MICINN); Ministry of Agriculture, Livestock, Fisheries and Sustainable Development from the Regional Government of Andalusia (CAGPDES-JA) since 2007; and Doñana Biological Station from the Spanish National Research Council (EBD-CSIC) provide in-kind and direct funding to maintain the programme. Finally, the project has also benefitted from the eLTER Plus INFRAIA Research Project (Horizon 2020 EU Programme, Agreement No. 871128), the eLTER H2020 INFRAIA project (Horizon 2020 EU Programme, Agreement No. 654359) and the SUMHAL Research Project funded by FEDER actions [SUMHAL, LIFEWATCH-2019-09-CSIC-13, POPE 2014-2020] from the Ministerio de Ciencia, Innovación y Universidades.
The study area is located inside Doñana Protected Area in southwest Spain, where permanent plots are spread across Doñana Biological Reserve (60 km2). The climate is Mediterranean sub-humid with Atlantic coast influence, resulting in wet mild winters and dry warm summers. The rainy season occurs between October and April, with a peak in December–January (average rainfall is about 550 mm). Doñana's four main ecosystems are monitored, including: temporary marshes, active sand dunes, Mediterranean shrublands and woodlands and Doñana's shoreline of 30 km length. Under the vegetation topic, shrubland plant communities are monitored in 21 permanent plots sampled once per year during the peak flowering season, between March and May.
The long-term monitoring of Doñana shrublands started in 2008 by setting 21 permanent plots across the Doñana Biological Reserve. Each plot is sampled during one sampling campaign per year along the flowering season (between March and May). A total of 21 permanent square plots (15 m x 15 m) were located according to stratified random sampling (Fig.
Graphical scheme of the sampling procedure. a) Zenithal view of one monitoring plot with the different woody plant canopies and transects located inside the plot; b) zoom in the red square in figure a) showing the interceptions of every canopy with the measurement tape and the strip band considered for interceptions; c) field data collection with a digital device; d) resulting table of the example in b).
Taxonomic identification is assessed by different observers at the time in the field, using flowers and fruits to complement the correct identification. Plots are located with permanent stakes and coordinates collected with a D-GPS (ca. < 1 m horizontal accuracy). Although more than 10 observers have participated in the sampling, 80% of the sampling was led by the same observer. Data were digitally collected using mobile devices by means of a specifically designed Cybertracker sequence. This procedure guides the observer through a sequence of screens in a step-by-step way, some of them mandatory to prevent the loss of data. A map and a list of the plots, as well as a plant species list and observer names, are also available in the sequence for the observer. Unidentified plants in the field were later taxonomically identified. Contiguous individuals from the same species were recorded separately to improve plant density calculations. Data were transferred to a central Cybertracker database used for basic quality assessment, where the most frequent error (95%) corresponds to wrong tape measurements, which were corrected according to the previous record. Interannual plot percentage cover comparisons were also used to assess consistency in plant species occurrences and relative abundance, although the plant cover dynamics of these plant communities are highly variable.
Along each plot, there are three different transects of 15 metres, on which a measuring tape is extended. The three transects were distributed at fixed distances from the western side of the plot, the first one being 2.5 metres from the NE corner, the second one is 7.5 metres and the last one is 12.5 metres (Fig.
The 21 shrubland permanent plots included in this long-term monitoring were set across the Doñana Biological Reserve (RBD) (red line in Fig.
36.983 and 37.031 Latitude; -6.548 and -6.463 Longitude.
For the whole monitoring period, technicians have identified 34 different species, eight generic identifications (i.e. genus) and a few individuals remain indeterminate. Taxa included three classes, 11 orders and 16 different families of terrestrial plants (Table
Taxa included in the dataset (class, order and family). The percentage cover for every family is calculated as the total plant cover from all sampling events.
Class | Order | Family | Representation (%) |
Liliopsida | Asparagales | Asparagaceae | 0.145 |
Asphodelaceae |
0.009 |
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Poales | Cyperaceae | 0.003 | |
Magnoliopsida | Asterales | Asteraceae | 1.428 |
Caryophyllales | Caryophyllaceae | 0.004 | |
Plumbaginaceae | 1.428 | ||
Ericales | Ericaceae | 9.057 | |
Fabales | Fabaceae | 18.456 | |
Lamiales | Lamiaceae | 28.246 | |
Oleaceae | 0.479 | ||
Malvales | Cistaceae | 37.311 | |
Thymelaeaceae | 0.029 | ||
Myrtales | Myrtaceae | 0.004 | |
Santalales | Santalaceae | 0.073 | |
Pinopsida | Pinales | Cupressaceae | 0.943 |
Pinaceae | 1.911 | ||
Indeterminate | Indeterminate | 0.472 |
Rank | Scientific Name |
---|---|
kingdom | Plantae |
phylum | Tracheophyta |
class | Liliopsida |
order | Asparagales |
family | Asparagaceae |
family | Asphodelaceae |
order | Poales |
family | Cyperaceae |
class | Magnoliopsida |
order | Asterales |
family | Asteraceae |
order | Caryophyllales |
family | Caryophyllaceae |
family | Plumbaginaceae |
order | Ericales |
family | Ericaceae |
order | Fabales |
family | Fabaceae |
order | Lamiales |
family | Lamiaceae |
family | Oleaceae |
order | Malvales |
family | Cistaceae |
family | Thymelaeceae |
order | Myrtales |
family | Myrtaceae |
order | Santalales |
family | Santalaceae |
class | Pinopsida |
order | Pinales |
family | Cupressaceae |
family | Pinaceae |
With the line-intercept method, the linear coverage intercepted with the measuring tape was accounted, i.e. the initial and final contact of each individual. From this collected raw data, we calculated plant percentage cover for every plant species as the sum of the linear distance covered by each species per transect divided by the total length of the transect (15 m). Additionally, plant canopy status (living or dead canopy; Fig.
From 2008-04-08 to 2023-05-11. Dataset will be updated every 5 years.
This work is licensed under a Creative Commons Attribution (CC-BY 4.0) Licence.
The dataset by
Column label | Column description |
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id (Event core, Occurrence extension, MoF) | Identifier of the the sampling event. |
type (Event core) | The nature of a record. |
licence (Event core) | Licence of dataset. |
institutionID (Event core) | An identifier for the institution having custody of the information referred to in the record. |
datasetID (Event core) | Identifier of the dataset including DOI. |
institutionCode (Event core) | The name (or acronym) in use by the institution having custody of the object(s) or information referred to in the record. |
datasetName (Event core) | Name of the published dataset. |
eventID (Event core, Occurrence extension, MoF) | An identifier for the set of information associated with a dwc:Event. |
parentEventID | An identifier for the broader dwc:Event that groups this and potentially other dwc:Events. |
samplingProtocol (Event core) | The references to the protocol used for the event. |
sampleSizeValue (Event core) | The numeric value for a measurement of the size of the sample in an event (length of the transect or the area of a plot). |
sampleSizeUnit (Event core) | The unit of measurement of the size of the sample in an event. |
samplingEffort (Event core) | The amount of effort in minutes expended during the event. |
eventDate (Event core) | The date during which the event occurred. |
eventTime (Event core) | The time during which the event occurred. |
year (Event core) | The year during which the event occurred. |
month (Event core) | The month during which the event occurred. |
day (Event core) | The day during which the event occurred. |
habitat (Event core) | A category or description of the habitat in which the eventID occurred. |
locationID (Event core) | An identifier for the Location information. |
continent (Event core) | The name of the continent in which the location occurs. |
country (Event core) | The name of the country in which the location occurs. |
countryCode (Event core) | The standard code for the country in which the location occurs. |
stateProvince (Event core) | The name of the province in which the location occurs. |
county (Event core) | The name of the county in which the location occurs. |
municipality (Event core) | The name of the municipality in which the location occurs. |
locality (Event core) | The specific description of the transect in the plot. |
minimumElevationInMetres (Event core) | The lower altitude above sea level in metres. |
maximumElevationInMetres (Event core) | The higher altitude above sea level in metres. |
verbatimElevation (Event core) | The original altitude above sea level of the Location. |
locationRemarks (Event core) | Comments or notes about the location. |
decimalLatitude (Event core) | The geographic latitude (in decimal degrees) of the geographic centre of the sampling plot. |
decimalLongitude (Event core) | The geographic longitude (in decimal degrees) of the geographic centre of the sampling plot. |
geodeticDatum (Event core) | The geodetic datum upon which the geographic coordinates given in decimalLatitude and decimalLongitude are based. |
coordinateUncertaintyInMetres (Event core) | The horizontal distance (in metres) from the given dwc:decimalLatitude and dwc:decimalLongitude describing the smallest circle containing the whole of the dcterms:Location. |
modified (Occurrence extension) | Date of modification. |
language (Ocurrence extension) | Language of dataset. |
collectionCode (Occurrence extension) | Code of the monitoring collection. |
basisOfRecord (Occurrence extension) | Method of species identification. |
dynamicProperties (Occurrence extension) | Additional measurements, facts, characteristics or assertions about the record. In this case, the vitality, an indication of whether a plant was alive or dead at the time of observation. |
occurrenceID (Occurrence extension) | Identifier for the occurrence. |
recordedBy (Occurrence extension) | Names of observers responsible for recording the original occurrence. |
organismQuantity (Occurrence extension) | Value of the species percent cover per transect. |
organismQuantityType (Occurrence extension) | Type of measurement per occurrence (percentage cover). |
lifeStage (Occurrence extension) | Age class of the plant species (adult/seedling). |
identifiedBy (Occurrence extension) | Name or names of the Observer/s identifying the taxon. |
scientificName (Occurrence extension) | Species scientific name. |
kingdom (Occurrence extension) | Kingdom of the species. |
phylum (Occurrence extension) | Taxonomic Phylum of the species. |
class (Occurrence extension) | Taxonomic Class of the species. |
order (Occurrence extension) | Taxonomic Order of the species. |
family (Occurrence extension) | Taxonomic Family of the species. |
genus (Occurrence extension) | Taxonomic Genus of the species. |
specificEpithet (Occurrence extension) | Taxonomic Epihet of the species. |
taxonRank (Occurrence extension) | Taxonomic Rank of the identification. |
scientificNameAuthorship (Occurrence extension) | Authorship of scientific name. |
measurementID (MoF) | Identifier for the measurementOrFact. |
measurementType (MoF) | The nature of the measurement. |
measurementValue (MoF) | The value of the measurement. |
measurementUnit (MoF) | The unit of the measurement value. |
measurementDeterminedDate (MoF) | The date on which the measurement was made. |
measurementDeterminedBy (MoF) | Names of observers who determined the value of the measurement. |
measurementMethod (MoF) | Description of the method used to determine the measurement. |
We acknowledge funding by the National Parks Autonomous Agency (OAPN), by the Spanish Science and Innovation Ministry through the ICTS programme and by the Autonomous Administrations of Agriculture, Livestock, Fisheries and Sustainable Development and of Environment from the Regional Government of Andalusia (CAGPDES-JA). We are also grateful to Doñana Biological Station (EBD-CSIC) for providing in-kind funding and to the Horizon 2020 EU Research projects eLTER Plus (Agreement No. 871128) and eLTER (Agreement No. 654359). R. Díaz-Delgado has benefitted from “Salvador de Madariaga” mobility grant (PRX22/00726) funded by the Spanish Ministry of Science, Innovation and Universities (MICIU). We deeply acknowledge the help of Maxim Shashkov, Katia Cezón and Montse Fuente in improving dataset standardisation.
Data collection: RDD, LARG, AA, DAPS, DA, DL, IRM, JR; data depuration: RDD, MTS; data standardisation: MTS, RMF; metadata redaction: RDD, MTS, RMF; datapaper redaction: RDD, MTS; project leader: RDD & JBD.