BUSCADOR RECOLECTA

[Description of methods used for collection/generation of data] We built a genus-level phylogeny using the workflow proposed by Roquet et al. (2013). We downloaded from Genbank three conserved chloroplastic regions (rbcL, matK and ndhF) plus the ITS region for a subset of families, which we aligned separately by taxonomic clustering. [Methods for processing the data] We aligned all coding sequence clusters with MACSE (Ranwez et al. 2011) and non-coding ones with MAFFT (Katoh and Standlye 2013), and trimmed all alignments with TrimAl (Capella-Gutiérrez et al. 2009). We concatenated all alignments to obtain a supermatrix. We then conducted maximum-likelihood (ML) phylogenetic inference analyses with RAxML (Stamatakis 2014), applying the most appropriate partitioning scheme and substitution model obtained with PartitionFinder (Lanfear et al. 2012) and a supertree constraint at the family-level obtained with the online software Phylomatic v.3 (tree R20120829). Specifically, we performed 100 independent tree searches and selected the best ML tree (the one with the highest probability). [Instrument- or software-specific information needed to interpret/reproduce the data] Any software for manipulation or analysis of phylogenies such as R packages ape or picante. [Standards and calibration information, if appropriate] The best ML tree was dated applying the penalized likelihood method in treePL (Smith and O'Meara,2012) and the following node calibrations: we fixed the node corresponding to the ancestor of eudicots at 125 Ma based on the earliest eudicot fossil (Hughes and McDougall 1990), and applied minimum age constraints to 15 nodes based on fossil information extracted from Smith and Beaulieu (2010) and Bell et al. (2010). 5. Environmental/experimental conditions:, Agencia Estatal de Investigación, Project VULVIMON (Reference: CGL2017-90040-R)., Peer reviewed

Mountains shelter high biological diversity and constitute important barriers for species distributions. They often contain sets of species whose populations occur at their range limit (peripheral species), which according to the “Centre-Periphery” hypothesis are expected to perform worse and be more vulnerable than in central positions. Our study investigates this hypothesis by examining the potential vulnerability (abundance and ecological characteristics) of the flora of the Pyrenees, a major biogeographical crossroad containing a large proportion of the total European plant diversity. We also assess the contribution of peripheral plants in lists of conservation. We compared regional area of occupancy, local abundance, elevation, habitat and soil type preferences, of more than 2,600 central, peripheral and endemic native vascular plants of the Pyrenees mountains. Their conservation status was also assessed at different spatial scales. A quarter of Pyrenean species are at their distributional limit. Like endemics, peripherals have lower continental and regional occupancy than central ones, but their local abundance does not differ significantly. Endemics and peripherals are also more likely to be soil specialists at high elevation, mainly in (sub)alpine grasslands and rocky areas. Although occurring in different ecological conditions, peripheral species at their rear-edge (mainly Boreoalpine and Eurosiberian) tend to be more widespread regionally but equally abundant locally than leading- edge species (mainly Mediterranean). Peripheral taxa constitute a large portion of Pyrenean species protected at different geographic or administrative scales (31-56%), of highest importance in the Pyrenean red list. Peripheral species show contrasting ecology at the leading- and rear-edge, contribute substantially to the high plant diversity of the Pyrenean biogeographical crossroad and to the lists of priority species for conservation. Integrative biogeographical assessments of the rarity and ecology of mountain floras provide a better overview than administrative ones to establish priorities for conservation., OPCC-POCTEFA EFA (235/1) and VULBIMON (CGL2017-90040-R)., Peer reviewed

There are 2 datastes corresponding to 2 different analysis: "UTM 1x1 km dataset" based on NDVI change at UTM scale (1 km2) and "MU Dataset" based on NDVI change at plant populations level., Landscape is in continuous transformation due to both anthropogenic and natural disturb-ances, which may have a large impact on the most vulnerable elements of biodiversity. Here we quantify vegetation changes over the past 35 years (1984–2018) and assess how these changes may impact threatened plants over a heterogeneous and highly diverse region in southern Europe. To achieve this goal, we first estimated the intensity and duration of gains and losses of vegetation changes based on NDVI and NBR indices from Landsat time series, using the LandTrendr algorithm on Google Earth Engine. Then, we tested if: 1) Natura 2000 (N2000) areas have experienced lower vegetation changes than non protected areas and thus are effective in protecting threatened plants, 2) vegetation changes around threatened plants differ across habitats and depending on the protection status of the area where they occur, and 3) the probability of occurrence of populations of threatened plant species increases on more stable places (i.e. lower vegetation changes). Results indicated an overall increase of vegetation, or greening trend, although N2000 areas experienced less gains and losses than non protected areas, which support their role in preserving habitats and slowing down human-induced land cover changes. Populations of threatened species tend to concentrate in places of lower changes irrespective of the spatial scale used for the analysis, the particular habitat they occur, and their inclusion within protected areas. Our approach demonstrates how monitoring vegetation changes by long-term remote sensing can help in the challenge of assessing both cryptic landscape transformation processes in protected areas, and potential external threats for priority plants in a comprehensive, fast and objective way. The conclusions drawn from this study are expected to serve as guidelines for a more effective conservation management in other environmentally heterogeneous regions., Peer reviewed

Population sizes, threats, and abundance change through time, for monitored plants in the Aragon Region (Spain) between 2010 and 2019., Regional Government of Aragón, the European Project RESECOM (LIFE+12 NAT/ES/000180), the OAPN (DYNBIO, grant 1656/2015), the Research Spanish Agency (VULBIMON, grant CGL2017-90040-R), and the Diputación Provincial de Huesca (2019), Peer reviewed

La Colección de Tejidos y ADN del MNCN, Madrid (España) contiene muestras tanto de diferentes tejidos (hígado, músculo, riñón, ...) como de extractos de ADN pertenecientes a una amplia gama de especies tanto de vertebrados como de invertebrados. La colección conserva un total de 51939 muestras pertenecientes a 28930 ejemplares, de los cuales 12445 están disponibles en esta tabla. Note: this dataset was previously orphaned. It has been rescued by ① extracting it from the GBIF.org index (see GBIF Download in External Data) and ② republishing it on this IPT data hosting centre as version 1.0.

Colección de Poliquetos. Base de datos compuesta por 10270 registros Note: this dataset was previously orphaned. It has been rescued by ① extracting it from the GBIF.org index (see GBIF Download in External Data) and ② republishing it on this IPT data hosting centre as version 1.0.

These data proceed from BANDASCA, a database which compiles all the available information from literature, museum and private collections, doctoral thesis, as well as other unpublished data available for the entire Iberian Peninsula (see structure in Lobo and Martín-Piera 1991). At present, it contains the information of 96 981 individuals of the 53 Iberian Scarabaeinae species. A database-record was defined as a pool of specimens of a single species with identical database field values (locality, UTM coordinates, altitude, date of capture (day/month/year), type of habitat and food resource; among others) regardless of the number of specimens; so any difference in any database field value gave rise to a new database-record. Note: this dataset was previously orphaned. It has been rescued by ① extracting it from the GBIF.org index (see GBIF Download in External Data) and ② republishing it on this IPT data hosting centre as version 1.0.

The Mammal Collection of the Spanish Museo Nacional de Ciencias Naturales holds around 27.000 specimens. The data currently not available on GBIF can be obtained from the persons in charge of the collection and database Note: this dataset was previously orphaned. It has been rescued by ① extracting it from the GBIF.org index (see GBIF Download in External Data) and ② republishing it on this IPT data hosting centre as version 1.0.

The Bird Collection of the Spanish Museo Nacional de Ciencias Naturales holds around 30.000 specimens. The data currently not available on GBIF can be obtained from the persons in charge of the collection and database. Note: this dataset was previously orphaned. It has been rescued by ① extracting it from the GBIF.org index (see GBIF Download in External Data) and ② republishing it on this IPT data hosting centre as version 1.0.

90% de la Base de Datos de Herpetología del MNCN. Note: this dataset was previously orphaned. It has been rescued by ① extracting it from the GBIF.org index (see GBIF Download in External Data) and ② republishing it on this IPT data hosting centre as version 1.0.