BUSCADOR RECOLECTA

[Description of methods used for collection/generation of data] The composition and cover of dominant woody species (shrubs and trees), with the capacity to act as nurse plants, was characterized in plant communities across the Andalusian Red Natura 2000 (Directiva Habitats 92/43/CEE). The composition and cover (m^2 and %) of woody species in each plant community were sampled throughout two main methodologies: 1) plot-based, composition and cover at the understory layer was estimated in 1 plot [50 x 50 m] and 2500 m^2 of total sampled area; 2) transect-based, composition and cover in the canopy and understory layers, together with dead and overlapping individuals, was estimated in 20 transects [10 x 50 m], representing 100 squares [10 x 10 m] and a total sampled area of 10000 m^2. Complete descriptions of the methodological procedures can be found in Alcántara et al. (2019) and Verdú et al. (2022). The plots/transects were randomly distributed, trying to cover the largest possible area within each locality to avoid sampling bias. References: - Directiva 92/43/CEE del Consejo, de 21 de mayo de 1992, relativa a la conservación de los hábitats naturales y de la fauna y flora silvestres. - Alcántara, J. M., Garrido, J. L., Montesinos‐Navarro, A., Rey, P. J., Valiente‐Banuet, A., & Verdú, M. (2019). Unifying facilitation and recruitment networks. Journal of Vegetation Science, 30(6), 1239-1249. DOI: 10.1111/jvs.12795 - Verdú, M., Garrido, J. L., Alcántara, J. M., Montesinos‐Navarro, A., Aguilar, S., Aizen, M. A., et al. (2022). RecruitNet: A global database of plant recruitment networks. Ecology, e3923. https://doi.org/10.1002/ecy.3923, Our aim was to characterize the composition and cover of dominant woody plant species, with the capacity to act as nurse plants, in plant communities across the Andalusian Red Natura 2000 (Directiva Habitats 92/43/CEE). The study was developed in 38 plant communities across 19 protected areas distributed within the Andalusian RedNatura 2000. The present dataset can help to assess plant community dynamics of Mediterranean woody species. Here, we stress the importance incorporating abundance or cover for all co-occurring woody species together with ecological interactions, not just individual records, as key elements in assessing the state of ecosystems., This work was funded (1) by Proyecto FEDER SUMHAL-Sustainability for Mediterraean Hospost in Andalusia integrating LifeWatch ERIC [Work Package 5. Task 5.1.2. Development of the data standard. Repository development.][Work Package 9. Task 9.3.2. Model impact of land use change] (LifeWatch ERIC – FEDER, POPE 2014-2020; Ministerio de Ciencia e Innovación, Spain); (2) Proyecto COEXMED I: Coexistence of woody plants in Mediterranena forests: intransitive interactions and negative density dependence in recruitment dynamics (CGL2012-36776, FEDER y Ministerio de Economia y Competitividad, Spain); (3) Proyecto COEXMED II: Especificidad de las interacciones adulto-juvenil durante el reclutamiento de plantas leñosas: complementariedad de caracteres funcionales e interacciones plant-antagonista (CGL2015-69118-C2-1-P, FEDER y Ministerio de Economia y Competitividad, Spain); (4) Proyecto REPNETS-Redes de reemplazamiento en bosques: variación ecogeográfica e influencia de las comunidades de hongos de la filosfera y de las interacciones planta-suelo (PGC2018-100966-B-I00, FEDER - Agencia Estatal de Investigación, Ministerio de Ciencia e Innovación, Spain); (5) thanks to Parque Natural Montes Málaga, Parque Natural Sierra de las Nieves, Parque Natural Sierras Subbéticas, Parque Natural Sierra Norte, Parque Natural Sierra de Aracena y Picos de Aroche, Parque Natural Sierra de Grazalema and Finca La Almoraima for facilitating access and scientific work permits; (6) CSIC is acknowledged for supporting Open Access publication., Composition_and_cover_woody_plant_species.csv [shows the list of woody plant species per sampled plant community with the information of cover (m^2) and relative cover (%) per plant species] Plant_community_&_sampling_info.csv [has information about sampled plant communities and sampling methods] Metadata.csv [records information about the meaning of columns in 'Composition_and_ cover_woody_plant_species.csv' and 'Plant_community_&_sampling_info.csv'], Peer reviewed

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[Description of methods used for collection/generation of data] Table S1. Carotenoid content and profile was determined by HPLC. Table S2. Gene annotation information was retrieved from the public information available at Ensembl.Plants. https://plants.ensembl.org/Triticum_turgidum/Info/Index Table S3. Passport information was retrieved from The Spanish Inventory of Plant Genetic Resources. Available online: https://https://bancocrf.inia.es/en/, Dataset published as supplementary material of Requena-Ramírez et al. (2022), https://doi.org/10.3390/plants11152065. This dataset includes the carotenoid content and profile of the durum wheat accessions analysed during two seasons in Córdoba (Spain) along with their basic passport data., This research was funded by project AGL2017-85368-P funded by MCIN/AEI/10.13039/501100011033/, by ERDF “ERDF A way of making Europe” and by the Instituto de Investigación y Formación Agraria y Pesquera (IFAPA), Junta de Andalucía, grant number AVA-AVA2019.020 cofounded at 80% by ERDF. M.D.R.-R. was supported by PRE2018-084037 funded by MCIN/AEI/10.13039/501100011033 and ESF “ESF investing in your future”., Contains three tables: Table S1, Table S2, Table S3. Table S1. Carotenoid content and profile of durum wheat accessions during two seasons. Table S2. Svevo gene models matching marker-trait associations reported in this work Table S3. List of durum wheat accessions analized in this work. Further details can be found at the Spanish Inventory of Plant Genetic Resources. Available online: https://bancocrf.inia.es/en/, Peer reviewed

Conjunto de 4 ficheros (3 tablas suplementarias y una figura suplementaria)., This research was funded by Grants AGL2014-53195-R from Ministerio de Economía y Competitividad and AGL2017-85368-P from Ministerio de Ciencia, Innovación y Universidades. Both projects are cofounded by FEDER. DHM is member of CaRed Network funded byMinisterio de Economía y Competitividad (BIO2015-71703-REDT and BIO2017-90877-REDT) and participates in EUROCAROTEN COST Action (CA15136). CMA and SGA are members of FiRCMe Network, funded by Ministerio de Economía y Competitividad (AGL2016-81855-REDT)., Peer reviewed

Fichero con 4 tablas suplementarias. DArTSeq markers with a significant match to Svevo genome; List of accessions; Location of markers within the confidence intervals of selected QTLs by other authors, Location of markers associated with lodging and stem diameter., [Description of methods used for collection/generation of data] Table S1. BLASTn search was performed using BLAST+. DArTSeq sequences were used as a query against the durum wheat coding sequences (nucleotides) of annotated high (HC) and low (LC) confidence genes. Table S2. Passport information was retrieved from The Spanish Inventory of Plant Genetic Resources. Available online: https://https://bancocrf.inia.es/en/ Table S3. Positions of markers associated to wheat sawfly resistance reported by Varella et al. 2019 (DOI:10.1534/ge.119.400240) in the Svevo genome was obtained from https://wheat.pw.usda.gov/GG3/jbrowse_Durum_Svevo. Table S4. Position of markers associated with lodging and stem diameter in bread wheat was retrieved from the Wheat Chinese Spring genome assembly (https://wheat.pw.usda.gov/GG3/genome_browser) using the QTL track., Dataset published as supplementary material of Ávila et al. (2021), https://doi.org/10.3390/plants10061123). This dataset includes all the DArTSeq markers with a significant match to 'Svevo' genome that were used for the Genome Wide Association Scan (GWAS) for agronomic and stem cross section properties. It also details the list of durum wheat landraces studied in this work and the position of markers in the Svevo genome reported by other authors used for comparative analyses with the results obtained in this work., This research was funded by the Instituto de Investigación y Formación Agraria y Pesquera (IFAPA), Junta de Andalucía, grant number AVA-AVA2019.020 cofounded at 80% by FEDER. C.M.A., J.S. and S.G.A. are members of the FiRCMe Network, funded by Ministerio de Economía, Industria y Competitividad (AGL2016-81855-REDT). M.D.R.-R. was the recipient of a fellowship from the Ministerio de Ciencia, Innovación y Universidades (PRE2018-084037)., Contains four tables: Table S1, Table S2, Table S3, Table S4. Table S1. BLASTn alignment of DArTSeq markers sequences against durum wheat reference genome 'Svevo' High Confidence and Low Confidence gene models. Table S2. List of durum wheat accessions studied in this work. Further details can be found at The Spanish Inventory of Plant Genetic Resources. Available online: https://https://bancocrf.inia.es/en/ Table S3. Localization of markers within the confidence intervals of QTLs for wheat stem sawfly reported by Varella et al. 2019 (DOI:10.1534/ge.119.400240) in the Svevo genome. Table S4. Markers associated with lodging and stem diameter in bread wheat used for comparisons with results in durum wheat., Peer reviewed

[EN] A monthly precipitation gridded data set over mainland Spain between December 1915 and December 2020. The dataset combines ground observations from the National Climate Data Bank (NCDB) of the Spanish national climate and weather service (AEMET) and new data rescued from meteorological yearbooks published prior to 1951 that was never incorporated into the NCDB. The yearbooks data represented a significant improvement of the dataset, as it almost doubled the number of weather stations available during the first decades of the 20th century, the period when the dataset was more scarce. The final dataset contains records from 11,312 stations. Spatial interpolation was performed using geostatistical techniques over a regular 0.1° × 0.1° grid, using a two-stage process: estimation of the probability of zero-precipitation (dry month), and estimation of precipitation magnitude., [ES] Conjunto de datos en rejilla de precipitación mensual en la España peninsular, entre diciembre de 1915 y diciembre de 2020. El conjunto de datos utilizado combina observaciones del Banco Nacional de Datos de AEMET y nuevos datos rescatados de los anuarios climáticos publicados con anterioridad a 1951, y que casi duplican la información existente sobre la primera mitad del siglo 20. El conjunto final contiene información de un total de 11.312 observatorios. Se utilizaron técnicas geoestadísticas para interpolar espacialmente las observaciones sobre una rejilla regular de 0.1° × 0.1°, utilizando un proceso en dos pasos: en primer lugar se interpoló la probabilidad de mes seco (precipitación igual a cero), y en un segundo paso la magnitud de la precipitación., Projects CGL2017-83866-C3-3-R (CLICES: Climate of the last Century in the Spanish mainland) and PID2020-116860RB-C22 EXE: Extremos térmicos y pluviométricos en la España peninsular 1916-2020), funded by the Spanish Ministry of Science., Mean grid; standard deviation grid; netCDF., No

[Description of methods used for collection/generation of data] We use available information from mycorrhizal databases to assign mycorrhizal type and status to our sampled plant species. Two databases were reviewed, Bueno et al. (2017) and FungalRoot (2020). Bueno et al. has info at the species level, while FungalRoot has multiple observations per species. For this reason, a species was assigned to a particular mycorrhizal type, whether the number of observations was equal or higher than 70 %, otherwise we assigned multiple associations. In the case of species that did not match with both databases, mycorrhizal type was assigned based on information at the genus, tribe or family level. Once each species was classified to a particular mycorrhizal type, we followed to assign their status. References: - Soudzilovskaia, N. A., Vaessen, S., Barcelo, M., He, J., Rahimlou, S., Abarenkov, K., ... & Tedersoo, L. (2020). FungalRoot: global online database of plant mycorrhizal associations. New Phytologist, 227(3), 955-966. - Bueno, C. G., Moora, M., Gerz, M., Davison, J., Öpik, M., Pärtel, M., ... & Zobel, M. (2017). Plant mycorrhizal status, but not type, shifts with latitude and elevation in Europe. Global Ecology and Biogeography, 26(6), 690-699., Our aim was to register and characterize, throughout bibliographic review of published databases, the mycorrhizal type (AM, ECM, ERM, NM, AM+NM, ECM+NM,ERM+NM, ECM+AM+NM) and status (OM, FM, NM) of Mediterranean woody plant species sampled across the Andalusian Red Natura 2000. Here, we included a total of 243 plant species sampled across 38 plant communities from 19 protected areas distributed within the Andalusian RedNatura 2000., This work was funded (1) by Proyecto FEDER SUMHAL-Sustainability for Mediterraean Hospost in Andalusia integrating LifeWatch ERIC [Work Package 5. Task 5.1.2. Development of the data standard. Repository development.] (LifeWatch ERIC – FEDER, POPE 2014-2020; Ministerio de Ciencia e Innovación, Spain); (2) Proyecto COEXMED I: Coexistence of woody plants in Mediterranena forests: intransitive interactions and negative density dependence in recruitment dynamics (CGL2012-36776, FEDER y Ministerio de Economia y Competitividad, Spain); (3) Proyecto COEXMED II: Especificidad de las interacciones adulto-juvenil durante el reclutamiento de plantas leñosas: complementariedad de caracteres funcionales e interacciones plant-antagonista (CGL2015-69118-C2-1-P, FEDER y Ministerio de Economia y Competitividad, Spain); (4) Proyecto REPNETS-Redes de reemplazamiento en bosques: variación ecogeográfica e influencia de las comunidades de hongos de la filosfera y de las interacciones planta-suelo (PGC2018-100966-B-I00, FEDER - Agencia Estatal de Investigación, Ministerio de Ciencia e Innovación, Spain); (5) CSIC is acknowledged for supporting Open Access publication., Mediterranean_woody_plants_mycorrhizal_type-status.csv [shows the list of woody plant species sampled across the Andalusian Red Natura 2000 with their respective assignment of mycorrhizal type and status based on 'Mycorrhizal_type_Bueno.csv' and 'Mycorrhizal_type_FungalRoot.csv'] Mycorrhizal_type_Bueno.csv [has proccessed information about plant species mycorrhizal type from Bueno et al. (2017)] Mycorrhizal_type_FungalRoot.csv [has proccessed information about plant species mycorrhizal type from FungalRoot (2020)] Plant_taxonomic_info.csv [shows the list of woody plant species with their taxonomic adscription Class/Order/Family/Genus] Plant_community_info.csv [has information about sampled plant communities] Metadata.csv [records information about the meaning of columns in 'Mediterranean_woody_plants_mycorrhizal_type-status.csv', 'Mycorrhizal_type_Bueno.csv', 'Mycorrhizal_type_FungalRoot.csv', 'Plant_taxonomic_info.csv', and 'Plant_community_info.csv ' files], Peer reviewed

Formato Excel con distintas hojas, cada una de ellas correspondiente a un grupo de compuestos, Peer reviewed

Financial support was obtained from projects CGL-2009-10883-C02-02, CGL2012-40229-C02-01 and CGL2015-69338-C2-2-P and PID2019-109303GB-I00 from Ministerio de Economía y Competitividad, MINECO, Spanish Government., Peer reviewed

Dataset of the Checklist of the Vascular Plants of Río Muni (Equatorial Guinea), An updated checklist of the vascular plants from the continental region of Equatorial Guinea, Río Muni is presented. The catalogue (Appendix 1) is the result of the compilation of identified herbarium specimens (6850), bibliographic references with species records (7985) and online databases (10109 GBIF records and 8897 RAINBIO records). A database of 23517 georeferenced vascular plant records was prepared by updating the nomenclatural and standardizing the locality names from all these sources. The catalogue comprises 2707 taxa (2598 species, 81 subspecies, and 28 varieties) included in 1020 genera and 178 families. About 90.6% of the taxa are considered native, 1.17% introduced and 5.96% naturalized. The 10 most diverse families are Rubiaceae (294 species), Fabaceae (290), Orchidaceae (168), Poaceae (105), Euphorbiaceae (87), Apocynaceae (85), Cyperaceae (79), Annonaceae (68), Acanthaceae (65 ) and Melastomataceae (61), which comprise 49.22% of the species in Río Muni. Only 11 species can be considered endemic to Río Muni; this low number reflects the absence of natural barriers in the territory. The number of threatened taxa (VU, EN and CR) is 134 (5.02% of the total evaluated), of which 43 are at risk of extinction, being within the categories of Endangered or Critically Endangered. Five species with restricted distribution to the Gulf of Guinea are considered threatened: three Endangered (Grossera angustifolia, Polyscias aequatoguineensis and Rhipidoglossum montealenense), and two Critically Endangered (Asplenium carvalhoanum and Macropodiella uoroensis), thus they should be considered as priority in management plans development and conservation strategies., Peer reviewed