Dataset of occurrence and incidence of pine processionary moth in Andalusia (South Spain)
Observatorio de seguimiento de los efectos del cambio global de Sierra Nevada. Centro Andaluz de Medio Ambiente, Universidad de Granada, Junta de Andalucía.
This dataset provides information about infestation caused by the pine processionary moth (Thaumetopoea pityocampa Schiffermüller, 1776) in pure or mixed pine plantations in Andalusia. It represents a long-term series (1993 - 2015) containing 81,908 records that describe the occurrence and incidence of this species. Data were collected by the Regional Ministry of Environment and Territorial Planning of the Andalusian Regional Government within the frame of the “Plan de Lucha Integrada contra la Procesionaria del Pino” (Plan for Integrated Control Against the Pine Processionary Moth), which includes a monitoring programme known as COPLAS. In particular, this dataset includes 4,386 monitoring stands which, together with the campaign year, define the dataset events in Darwin Core Archive. Events are related with occurrence data which show if the species is present or absent. In turn, the event data have a measurement associated: degree of infestation.
The relevance of this dataset resides in the importance of long-term data, specially for management decisions in relation to forests phytosanitary status and ecological studies about population dynamics of this forest pest, as well as other research areas.
Andalusia is located in Southern Spain and covers around 87,597 km². This is a region characterized by great climate variability. Though the majority of the surface is classified as Mediterranean climate type (Csa, according to Köppen’s classification) (AEMET, 2011), there are other bioclimatic zones: subtropical (Mediterranean coast), oceanic (Atlantic coast), mountain (medium and high mountain areas in mountain ranges which reach 2000 m.a.s.l.), subcontinental (Guadalquivir Valley and part of oriental Andalusia) and subdesert (Southeast zone with coastal influence) (Junta de Andalucía, 2014). The altitude ranges from sea level to Sierra Nevada summits, where the highest peak reaches 3481 m.a.s.l.
In reference to the forest area, it currently covers around 44,000 km² which entails just over half of the total region. The evolution through time has been as follows: in 1956 the forest extension meant 54.7% of the total territory; in 1989 it covered 53.1%; for 2003 it represented 52.6% of the total area of Andalusia (Junta de Andalucía, 2010), while for 2007 it covered 4,455,681 ha (Gutiérrez-Hernández et al. 2016), which entails around 50.9%. Even though these percentages show that forest area has descended, it is true that wooded lands have increased, specifically coniferous formations, which encompass pine forests (Junta de Andalucía, 2010). These formations have increased intensely during the second half of the 20th century because of past reforestation projects (Gutiérrez-Hernández et al. 2016), mainly due to commercial value and general economic interest underlying the National Afforestation Plan of the 40s (Junta de Andalucía, 2011) or, on occasion, because of the willing to control the soil erosion. Afterwards, the presence of some pine species was promoted due to afforestation programs from European policies (Anaya-Romero et al. 2016). Expressed in figures, coniferous formations represented 7.8% of the forest area of Andalusia in the year 1956, in 1989 it covered 16.4% while in 2003 it decreased to 10.5% (Junta de Andalucía, 2010). This means that a high percentage of the pine woodlands in Andalusia are plantations or originally came from plantations. According to the Andalusian Forestry Plan of the year 1989, only 20% (151,900 ha) of the total pine woodlands (759,700 ha) were considered natural as a result of spontaneous repopulations from reforestations at the beginning of the century (Junta de Andalucía, 1989). The remaining 80% came from artificial reforestations.
In this scenario, Thaumetopoea pityocampa has found a large surface for its activity producing an impact on forests because of defoliation. In the current context of climate change, information about forest pests gains importance because they can play a fundamental role affecting physiology of forest ecosystems (Gracia, 2005).
The scientific names were checked with databases of Catalogue of Life/Species 2000 (Roskov et al., 2018). We also performed validation procedures (Chapman, 2005a; 2005b) (geographic coordinate format, coordinates within provincial/county boundaries, absence of ASCII anomalous characters in the dataset) with Darwin Test (3.3) software (Pando, Lujano & Cezón, 2017).
All data were stored in a normalized database (PostgreSQL) and incorporated into the Information System of Sierra Nevada Global-Change Observatory (Pérez-Pérez et al. 2012). Taxonomic and spatial validations were made on this database (see Quality control description). A custom-made SQL view of the database was performed to gather occurrence data associated to sampling event and other variables associated with occurrence data, specifically, degree of infestation.
The sampling event data, occurrence and measurement data were accommodated to fulfill the Darwin Core Standard (Wieczorek et al. 2009; 2012). We used Darwin Core Archive Validator tool http://tools.gbif.org/dwca-validator/) to check whether the dataset meets Darwin Core specifications. The Integrated Publishing Toolkit (IPT v2.0.5) (Robertson et al. 2014) of the Spanish node of the Global Biodiversity Information Facility (GBIF) http://ipt.gbif.es) was used both to upload the Darwin Core Archive and to fill out the metadata.
The Darwin Core elements for the sampling event data included in the dataset are: eventID, modified, language, institutionCode, collectionCode, continent, country, countryCode, stateProvince, county, eventDate, habitat, minimumElevationInMeters, maximumElevationInMeters, decimalLatitude, decimalLongitude, geodeticDatum, coordinateUncertaintyInMeters, samplingProtocol, sampleSizeValue, sampleSizeUnit, footprintWKT. For the occurrence data are: occurrenceID, catalogNumber, eventID, eventDate, basisOfRecord, scientificName, kingdom, phylum, class, order, family, genus, specificEpithet, scientificNameAuthorship, associatedTaxa, recordedBy, occurrenceStatus. For the measurement data, the Darwin Core elements included were: measurementID, eventID, measurementType, measurementValue, measurementUnit, measurementDeterminedBy, measurementDeterminedDate, measurementMethod.
Type of content
Includes: point occurrence data.
iEcolab, University of Granada-Andalusian Environmental Center (Andalusian Institute for Earth System Research) (2018) Dataset of occurrence and incidence of pine processionary moth in Andalusia (South Spain). v1. Sierra Nevada Global Change Observatory. Andalusian Environmental Center, University of Granada, Regional Government of Andalusia. Contributed by Consejería de Medio Ambiente y Ordenación del Territorio. Dataset/Samplingevent. http://ipt.gbif.es/resource?r=coplas&v=1.0
This work is licensed under a Creative Commons Attribution (CC-BY) 4.0 License.
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Metadata last updated on 2018-11-30 12:33:04.0