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965 results for “Artemisia”
Artemisia absinthium L. (BR0000011663645)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Artemisia absinthium L. (BR0000024510813)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Data from: Geographical variation of Artemisia leaf morphology along a large environmental gradient in China
<p>We collected 60 species of <em>Artemisia</em> from 81 sampling sites in 15 provinces in China from the end of July to August 2018. At each site, we recorded latitude and longitude. Then we identified all<em> Artemisia</em> species and randomly sampled 4 plants for each species. A total of 1,041 plants were sampled. In the laboratory, 10 leaves in the middle of each plant were selected and detached. Because light might have effect on leaf morphology, we only used sun exposed leaves. The leaves were soaked in distilled water for 24 h to fully restore their shapes. After blotted-dried, leaves were place as petiole to the left and tip to the right, and an Epson V370 (Seiko Epson Corp., Nagano, Japan) was used to scan the leaves at a resolution of 600 DPI. </p> <p>We set 40 landmarks along the blade edge on each leaf. The first point was set at the petiole and the 21st point at the tip, and these two points were defined as landmarks. The remaining points were evenly distributed at the blade edge and defined as semilandmarks. Landmarks were saved in tps format using Geomorph package.</p>
Data from: Effect of altitude on volatile organic and phenolic compounds of artemisia brevifolia wall ex Dc. from the Western Himalayas
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Allometry rather than abiotic drivers explains biomass allocation among leaves, stems and roots of Artemisia across a large environmental gradient in China
<p>1. Biomass allocation patterns reflect the adaptive strategies of plants growing in different environments, which is a central issue in comparative plant ecology and evolution. However, the factors underpinning specific allocation patterns across organs and the existence of general rules governing allocation remain contentious. Optimal partitioning theory (OPT) states that plants can respond to resource availability by allocating relatively more biomass to the organ that captures the most limiting resources to optimize growth. In contrast, allometric partitioning theory (APT) postulates that biomass allocation among organs is a power function of plant size independently of environmental variation. As phylogenetic and growth form constraints (e.g. formation of inert heartwood in tree clades) may also affect biomass allocation, comparison among and within closely related taxa of rather similar growth form may enable a more direct testing of which of these two theories prevails.</p> <p>2. To test whether OPT or APT was prevalent at wide geographic scale, we investigated biomass allocation patterns among leaves, stems and roots of 1022 plants of 63 Artemisia species (Asteraceae) collected along broad climate (annual mean temperature range -4.9 to 18.0 °C, annual mean precipitation range 193 to 1668 mm) and soil gradients (soil carbon content range 1.6 to 15.4 kg C m-2) in central and eastern China.</p> <p>3. There were strong allometric relationships among leaf mass (ML), stem mass (MS) and root mass (MR) at both inter- and intraspecific level. Moreover, the interspecific and intraspecific patterns were not different from general patterns for pooled plants, i.e. ML/MR and ML/MS, but not MS/MR, generally decreased with plant size. However, the three organ mass ratios were not responsive to broad climatic or soil gradients after the effect of plant size was removed.</p> <p>4. Synthesis. Our results generally support APT instead of OPT, suggesting that Artemisia plants have evolved an allometric strategy rather than relying on adjustment of allocation among organs to adapt to the broadly varying environments at the regional scale. For follow-up research, we hypothesize that the strong allometric constraints on biomass allocation should depend on strong physiological adaptive responses of the different organs of Artemisia to environmental gradients.</p>
Spatial patterning of Artemisia tridentata neighborhoods and relative crowding
<p>Plants reflect resource use in their spatial patterning. Competition for limited resources—such as available soil water in a dryland ecosystem—drives establishment, growth, and mortality, resulting in shifts of spatial arrangement over time. We characterized the spatial patterning of two big sagebrush (<em>Artemisia tridentata</em> subspecies <em>wyomingensis</em>) communities in the upper Green River Basin of Wyoming, USA. We mapped big sagebrush canopies in two, 100-square meter sites and calculated plant neighborhoods as the area closer to a target plant than to any other plant. We assumed that neighborhoods were areas in which the target plant dominates resource use. We found that plant neighborhoods had strong, positive correlations with plant size, indicating that larger neighborhoods may access more belowground resources. We also found that the relationships between experienced crowding, i.e. Crowding Index (CI) by an average neighbor, and neighborhood size, were consistently negative regardless of calculation method. We also found that the residuals of a regression of target plant biomass and neighborhood area were strongly related to the CI calculated via all methods. This means that plants with smaller neighborhoods than expected also experience the greatest crowding by an average neighbor. These results are consistent with negative density dependence and show that greater static crowding predicts smaller neighborhoods in two, undisturbed, intermediate-successional big sagebrush communities. In the future, similar studies of spatial patterning that include interspecific plant-plant interactions will be useful for understanding the relationship between spatial patterning and negative density dependence.</p>
Does the intensive grazing and aridity change the relations between the dominant shrub Artemisia kopetdaghensis and plants under its canopies?
<p><span>The inter-specific plant interactions along grazing and aridity stress gradients represent a major research issue in plant ecology. However, the combined effects of these two factors on plant-plant interactions have been poorly studied in the northeast of Iran. To fill this knowledge gap, 144 plots were established in 12 study sites with different grazing intensity (high vs. low) and climatic characteristics (arid vs. semi-arid) in northeastern Iran. A dominant shrub, <i>Artemisia kopetdaghensis</i>, was selected as the model species. Further, we studied changes in plant life strategies along the combined grazing and aridity stress gradients. In this study, we used relative interaction indices calculated for species richness, Shannon diversity and species cover to determine plant-plant interactions using linear mixed-effect models (LMM). The indicator species analysis was used to identify the indicator species for the under-canopy of shrub and for the adjacent open areas. The combined effects of grazing and aridity affected the plant-plant interactions and plant life strategies (CSR) of indicator species. <i>Artemisia kopetdaghensis</i> showed the highest facilitation effect under high stress conditions (high grazing, high aridity), which turned into competition under the low stress conditions (low grazing, low aridity). In the arid region, the canopy of the shrub protected ruderals, annual forbs and grasses in both high and low grazing intensity. In the semi-arid region and high grazing intensity (low aridity/high grazing), the shrubs protected mostly perennial forbs with C-strategy. Our findings highlight the importance of context-dependent shrub management to restore the vegetation damaged by the intensive grazing.</span></p>
Figure 2 in An investigation on the chloroplast and nuclear genomes of taxa belong to the subgenus Dracunculus (Bess.) Rydb. of Artemisia L. (Asteraceae) in Turkey
Figure 2. Maximum Likelyhood tree showing the phylogenetic relationship between individuals.
Figure 1 in TiO nanoparticles and salinity stress in relation to artemisinin production and ADS and DBR2 expression in Artemisia absinthium L.
Figure 1. TEM micrograph of the used Titanium dioxide nanoparticles.
Fig. 1 in Chemical composition and bioactivity of the essential oil from Artemisia lavandulaefolia (Asteraceae) on Plutella xylostella (Lepidoptera: Plutellidae)
Fig. 1. Repellent activity of Artemisia lavandulaefolia essential oil to Plutella xylostella.
Coordination of economics spectra in leaf, stem and root within the genus Artemisia along a large environmental gradient in China
<p>Aim: The plant economics spectrum provides a fundamental framework for understanding functional trait variation along environmental gradients. However, it is unclear whether there is a general whole-plant economics spectrum across organs at the finer taxonomic scale (e.g. within genera), and if there is, which factors affect the trait coordination of the different organs. Here, we examined whether resource economics spectra of different organs (i.e. leaf, stem and root) can be integrated at the whole-plant level within a single genus, and how environment, intraspecific variation and taxonomic scale shape the whole-plant spectrum.</p> <p>Location: China.</p> <p>Time period: 2018.</p> <p>Major taxa studied: Artemisia.</p> <p>Results: Pairwise trait correlations and the trade-off patterns along the resource economic axis were consistent at both organ and whole-plant levels. Environmental gradients did not strongly affect the correlations among leaf, stem and root economics spectra, i.e. the intraspecific variation weakened but did not mask this coordination. Taxonomic scale did not affect the degree of trait coordination as the genus-wide whole-plant economics spectrum also emerged within each of the three subgenera.</p> <p>Main conclusions: Our results support the hypothesis that the coordination of economics spectra across organs forms a whole-plant economics spectrum representing "fast-slow" resource management strategy, which is robust to recent evolution (genotypic variation, even for species within a single genus) and present-day environmental variation. Further studies should elucidate in which circumstances or phylogenetic branches the coordinated pattern found for Artemisia is representative of other widely distributed genera.</p>
Coordination of economics spectra in leaf, stem and root within the genus Artemisia along a large environmental gradient in China
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Does the intensive grazing and aridity change the relations between the dominant shrub Artemisia kopetdaghensis and plants under its canopies?
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Allometry rather than abiotic drivers explains biomass allocation among leaves, stems and roots of Artemisia across a large environmental gradient in China
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Modelling the potential distribution of African Wormwood (Artemisia afra) using machine learning algorithm-based approach (MaxEnt) in Sekhukhune District, South Africa
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Data from: Testing the biogeochemical niche hypothesis using leaves, stems and roots of 62 Artemisia species across China
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Spatial patterning of Artemisia tridentata neighborhoods and relative crowding
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Cedar Creek Ecosystem Science Reserve site, station Old Field 24 at Cedar Creek, study of plant biomass of Artemisia campestris ssp. caudata in units of gramsPerSquareMeter on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Cedar Creek Ecosystem Science Reserve (CDR) contains plant biomass of Artemisia campestris ssp. caudata measurements in gramsPerSquareMeter units and were aggregated to a yearly timescale.
Santa Barbara Coastal site, station Arroyo Hondo Reef, Santa Barbara Channel, study of animal cover of Anthopleura artemisia in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Santa Barbara Coastal (SBC) contains animal cover of Anthopleura artemisia measurements in percent units and were aggregated to a yearly timescale.
Santa Barbara Coastal site, station Arroyo Quemado Reef, Santa Barbara Channel, study of animal cover of Anthopleura artemisia in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Santa Barbara Coastal (SBC) contains animal cover of Anthopleura artemisia measurements in percent units and were aggregated to a yearly timescale.
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International Brain Laboratory public data
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OpenNeuro
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