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81 results for “Pinus pinaster”
Pinus pinaster Aiton (BR0000011219859)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Pinus pinaster Aiton (BR0000011219125)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Pinus pinaster Aiton (BR0000025052961)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Pinus pinaster Aiton (BR0000011219156)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Pinus pinaster Aiton (BR0000025053036)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Pinus pinaster Aiton (BR0000025053012)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Pinus pinaster Aiton (BR0000021547027)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Pinus pinaster Aiton (BR0000011219224)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Pinus pinaster Aiton (BR0000025053081)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Field measurements of moisture content of dead leaves of Pinus pinaster (2014-2023)
<p>The Association for the Development of Industrial Aerodynamics - Forest Fire Research Centre (ADAI-CEIF) has developed a daily measurement program for the moisture content of a set of representative fine fuels in forests of Central Portugal since 1987. The sampling site is located is in Lousã, and samples are collected daily during the main fire season (15<sup>th</sup> of May - 15<sup>th</sup> of October) and twice a week for the rest of the year. These samples are then analyzed at the Laboratory for Forest Fire Studies (LEIF), located less than 1km from the sampling plot.</p> <p>As part of a study named "The role of field measurements of fine dead fuels moisture content in the Canadian Fire Weather Index System – a case study in the Central Region of Portugal" (https://doi.org/10.3390/f15081429) we present the field measurements of surface litter (<em>Pinus pinaster</em>) carried out from 2014 to 2023. Based on this dataset, the study proposes a correction for the moisture factor (<em>m<sub>f</sub></em>) in the Fine Fuel Moisture Code (FFMC) of the Canadian Fire Weather Index System (CFWIS). This moisture correction was used to directly determine the Initial Spread Index (ISI) and, subsequently, the Fire Weather Index (FWI).</p> <p>Acknowledgments:</p> <p>We gratefully acknowledge the researchers and laboratory technicians of the ADAI-CEIF team, who dedicated part of their time to the field collection of samples to determine the moisture content of forest fuels in Lousã (Coimbra, Portugal). In particular, we would like to thank the MCFIRE project (PCIF/MPG/0108/2017, https://mcfire.adai.pt/) for coordinating and supporting these measurements from 2019 to 2023. We also gratefully acknowledge the ongoing efforts of Nuno Luís and João Carvalho in ensuring the collection and processing of samples in the laboratory.</p>
Linked collectors and determiners for: Bacterial members of the Pinus pinaster rhizosphere microbiota in a forest subjected to drought conditions.
Natural history specimen data linked to collectors and determiners held within, "Bacterial members of the Pinus pinaster rhizosphere microbiota in a forest subjected to drought conditions". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/ffae417e-b2d8-476c-afe4-8c1093b67071">https://bionomia.net/dataset/ffae417e-b2d8-476c-afe4-8c1093b67071</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/ffae417e-b2d8-476c-afe4-8c1093b67071">https://gbif.org/dataset/ffae417e-b2d8-476c-afe4-8c1093b67071</a>. Formatted as a Frictionless Data package.
Data from: In situ genetic association for serotiny, a fire-related trait, in Mediterranean maritime pine (Pinus pinaster Aiton)
Wildfire is a major ecological driver of plant evolution. Understanding the genetic basis of plant adaptation to wildfire is crucial, because impending climate change will involve fire regime changes worldwide. We studied the molecular genetic basis of serotiny, a fire-related trait, in Mediterranean maritime pine using association genetics. A single nucleotide polymorphism (SNP) set was used to identify genotype : phenotype associations in situ in an unstructured natural population of maritime pine (eastern Iberian Peninsula) under a mixed-effects model framework. RR-BLUP was used to build predictive models for serotiny in this region. Model prediction power outside the focal region was tested using independent range-wide serotiny data. Seventeen SNPs were potentially associated with serotiny, explaining approximately 29% of the trait phenotypic variation in the eastern Iberian Peninsula. Similar prediction power was found for nearby geographical regions from the same maternal lineage, but not for other genetic lineages. Association genetics for ecologically relevant traits evaluated in situ is an attractive approach for forest trees provided that traits are under strong genetic control and populations are unstructured, with large phenotypic variability. This will help to extend the research focus to ecological keystone non-model species in their natural environments, where polymorphisms acquired their adaptive value.
Seedling growth of Cistus ladanifer after different treatments of heat shock and addition of different loads of Pinus pinaster litter and ash.
<p>Files in this folder include raw data corresponding to the paper: "Effects of different loads of <em>Pinus pinaster</em> Ait. litter and ash on the germination and growth of <em>Cistus ladanifer</em> L." Annals of Forest Science. These files incude:</p> <p>-Germination data of seeds exposed or not to a heat shock and then subjected to different treatments: control, high litter load, low litter load, high ash load and low ash load.</p> <p>-Length and biomass data of two and four months <em>Cistus ladanifer</em> seedlings after the addition of different loads of <em>Pinus pinaster</em> leaf litter and ash. Seeds had been previously exposed or not to a heat shock.</p> <p> </p>
Data from: In situ genetic association for serotiny, a fire-related trait, in Mediterranean maritime pine (Pinus pinaster Aiton)
Open the record for dataset details and reuse information.
FIGURES 9–12 in Laimaphelenchus australis sp. nov. (Nematoda: Aphelenchina) from exotic pines, Pinus radiata and P. pinaster, in Australia
FIGURES 9–12. Scanning Electron Microscopy (SEM) observation of male Laimaphelenchus australis sp. nov. 9: Head. 10: Spicule and tail. 11: Tail. 12: Papillae.
FIGURES 1–8 in Laimaphelenchus australis sp. nov. (Nematoda: Aphelenchina) from exotic pines, Pinus radiata and P. pinaster, in Australia
FIGURES 1–8. Laimaphelenchus australis sp. nov. 1: Male. 2: Female. 3: Female tail. 4: Spicules. 5: Vulval region. 6. Lateral field. 7: Female head. 8: Female tail. Scale bars 1, 2 = 50 µ m; 3 = 2 µ m; 4, 5, 6, 7, 8 = 25 µ m.
FIGURES 13–16 in Laimaphelenchus australis sp. nov. (Nematoda: Aphelenchina) from exotic pines, Pinus radiata and P. pinaster, in Australia
FIGURES 13–16. Scanning Electron Microscopy (SEM) observation of female Laimaphelenchus australis sp. nov. 13: Head. 14: Lateral incisures 15: Vulval region. 16: Tail.
FIGURE. Serpentine pine forests (Pinus pinaster) accompanied by Erica scoparia and Quercus coccifera, climax vegetation in the Bermejense sector. (Photo authors). in Vascular flora of the Sierra de las Nieves National Park and its surroundings (Andalusia, Spain)
FIGURE. Serpentine pine forests (Pinus pinaster) accompanied by Erica scoparia and Quercus coccifera, climax vegetation in the Bermejense sector. (Photo authors).
FIGURE. In the foreground, Aljíbico sector with Pinus pinaster and Quercus suber, in the centre Bermejense sector with serpentine scrublands and in the background the Rondeño sector with the highest summit of the studied area (La Torrecilla, 1,918 m) oromediterranean bioclimatic belt. (Photo authors) in Vascular flora of the Sierra de las Nieves National Park and its surroundings (Andalusia, Spain)
FIGURE. In the foreground, Aljíbico sector with Pinus pinaster and Quercus suber, in the centre Bermejense sector with serpentine scrublands and in the background the Rondeño sector with the highest summit of the studied area (La Torrecilla, 1,918 m) oromediterranean bioclimatic belt. (Photo authors)
Data from: Mediation of seed provisioning in the transmission of environmental maternal effects in Maritime pine (Pinus pinaster Aiton)
Although maternal environmental effects are increasingly recognized as an important source of phenotypic variation with relevant impacts in evolutionary processes, their relevance in long-lived plants such as pine trees is largely unknown. Here, we used a powerful sample size and a strong quantitative genetic approach to analyse the sources of variation of early seedling performance and to identify seed mass (SM)-dependent and -independent maternal environmental effects in Maritime pine. We measured SM of 8924 individual seeds collected from 10 genotypes clonally replicated in two environments of contrasting quality (favourable and stressful), and we measured seedling growth rate and biomass allocation to roots and shoots. SM was extremely variable (up to 14-fold) and strongly determined by the maternal environment and the genotype of the mother tree. The favourable maternal environment led to larger cones, larger seeds and reduced SM variability. The maternal environment also determined the offspring phenotype, with seedlings coming from the favourable environment being 35% larger and with greater root/shoot ratio. Transgenerational plasticity appears, thus, to be a relevant source of phenotypic variation in the early performance of this pine species. Seed provisioning explained most of the effect of the maternal environment on seedling total biomass. Environmental maternal effects on seedling biomass allocation were, however, determined through SM-independent mechanisms, suggesting that other epigenetic regulation channels may be involved.
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