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298 results for “plant richness”
Figure 6 in Gall-inducing arthropods in a Neotropical savanna area in the EPA of Rio Pandeiros (Bonito de Minas, MG, Brazil): effects of plant species richness and super-host abundance
Figure 6. Effect of plant species richness on the galling species per plant species in an area of Neotropical savanna in the EPA of Rio Pandeiros (Bonito de Minas, MG, Brazil).
Data from: Species richness and phylogenetic diversity of seed plants across vegetation zones of Mount Kenya, East Africa
Mount Kenya is of ecological importance in tropical east Africa due to the dramatic gradient in vegetation types that can be observed from low to high elevation zones. However, species richness and phylogenetic diversity of this mountain have not been well studied. Here, we surveyed distribution patterns for a total of 1,335 seed plants of this mountain and calculated species richness and phylogenetic diversity across seven vegetation zones. We also measured phylogenetic structure using the net relatedness index (NRI) and the nearest species index (NTI). Our results show that lower montane wet forest has the highest level of species richness, density, and phylogenetic diversity of woody plants, while lower montane dry forest has the highest level of species richness, density, and phylogenetic diversity in herbaceous plants. In total plants, NRI and NTI of four forest zones were smaller than three alpine zones. In woody plants, lower montane wet forest and upper montane forest have overdispersed phylogenetic structures. In herbaceous plants, NRI of Afro‐alpine zone and nival zone are smaller than those of bamboo zone, upper montane forest, and heath zone. We suggest that compared to open dry forest, humid forest has fewer herbaceous plants because of the closed canopy of woody plants. Woody plants may have climate‐dominated niches, whereas herbaceous plants may have edaphic and microhabitat‐dominated niches. We also proposed lower and upper montane forests with high species richness or overdispersed phylogenetic structures as the priority areas in conservation of Mount Kenya and other high mountains in the Eastern Afro‐montane biodiversity hotspot regions.
Effects of Proportioning Meat and Plant-based Protein-rich Foods on Cardiovascular Disease Risk Factors (S58)
ClinicalTrials.gov study NCT04820829. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Effect of a Plant Rich Diet on in People With Type 2 Diabetes and Obesity
ClinicalTrials.gov study NCT02977039. IPD Sharing: NO. Countries: 1. Publications: 0.
Improvements by a Protein-Rich Plant-Based Diet and Resistance Exercise Program for Active Ageing
ClinicalTrials.gov study NCT06172725. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The Impact of Plant-Based Protein-rich Food Products With Varying Degree of Processing on the Human Gut Microbiome Composition and Human Metabolome
ClinicalTrials.gov study NCT05885750. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Effects of an Organic Plant-rich Diet on Gut Microbiome and Vascular Function (ORGAMIC Pilot Study)
ClinicalTrials.gov study NCT04276974. IPD Sharing: NO. Countries: 1. Publications: 0.
A Culturally-relevant Micronutrient-dense Plant-rich (mNDPR) Dietary Intervention for Native Americans
ClinicalTrials.gov study NCT04755062. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Species richness and phylogenetic diversity of seed plants across vegetation zones of Mount Kenya, East Africa
Open the record for dataset details and reuse information.
Data for plant species richness effects on plants and antagnists-2025-0322
<p>Data for plant species richness effects on plants and antagnists-2025-0322</p>
Data and R code for: "Nineteenth-century land use shape the current occurrence of some plant species, but weakly affects richness and total composition of Central European grasslands"'
<ol> <li> <p><strong><code>IndVal.all.habitats.csv</code></strong>: the results of the IndVal statistics (<a href="https://doi.org/10.1111/j.1600-0706.2010.18334.x">De Cáceres et al. 2013</a>) for 1,498 species for the historical land use categories calculated across the entire dataset;</p> </li> <li> <p><code><strong>IndVal.separate.habitats.csv</strong></code>: the results of the IndVal statistics for 1,498 species for the historical land use categories calculated for each habitat type (dry grasslands, mesic grasslands, wet grasslands) separately;</p> </li> <li> <p><code><strong>ecological.and.disturbance.values.csv</strong></code>: the original Ellenberg-type and disturbance indicator values, and the varimax-rotated components (‘RC’) used in the analysis (data obtained from <a href="https://doi.org/10.1111/jvs.13168">Tichý et al. 2023</a> and <a href="http://dx.doi.org/10.1111/geb.13603">Midolo et al. 2023</a>; accessible at the FloraVeg.eu website <a href="https://floraveg.eu/download/" target="_new" rel="noreferrer">https://floraveg.eu/download/</a>);</p> </li> <li> <p><strong>R code and data for reproducibility</strong>. The R code is for illustration purposes only and is based on a subset of 1,184 mesic grassland vegetation plots located in the Czech Republic and in the study area. This is part of the Czech National Phytosociological Database (<a href="https://www.preslia.cz/article/387">Chytrý & Rafajová 2003</a>) and the European Vegetation Archive (<a href="https://doi.org/10.1111/avsc.12191">Chytrý et al. 2016</a>). The data includes the following:</p> <ul> <li> <p> <code>data</code> folder:</p> </li> </ul> </li> </ol> <ul> <li> <ul> <li> <ul> <li>i. <code>indicator.values.csv</code>: the original indicator values for 831 species;</li> <li>ii. <code>plot.data.csv</code>: data for each of the 1,184 vegetation plots, including their historical land use, plot size, bioclimatic variables (‘bio’; <a href="http://dx.doi.org/10.1038/sdata.2017.122">Karger et al. 2017</a>), and soil pH (<a href="https://doi.org/10.1371%2Fjournal.pone.0169748">Hengl et al. 2017</a>);</li> <li>iii. <code>species.matrix.csv</code>: community matrix reporting the relative abundance of species (columns) and plot sites (rows).</li> </ul> </li> <li>R scripts for species richness, species composition, and species indicator analyses. R script are also rendered in .html with R Markdown.</li> </ul> </li> </ul>
Figure 7 in Multi-scale patterns in the host specificity of plant-dwelling arthropods: the influence of host plant and temporal variation on species richness and assemblage composition of true bugs (Hemiptera)
Figure 7. The percentage of singleton and doubleton species from the sampling period spring 2001 that are common in other locations (ground fauna, introduced species, another habitat), or during another sampling period (season, previous spring). Unknown fauna cannot be allocated an origin because they are never abundant in the total dataset (>29,000 specimens).
FIGURE 1 in Exploring plant species richness along the Tiber River within the city of Rome
FIGURE 1. Study area. From left, extension of the Tiber River basin in Italy, complete course of the Tiber River, stretch of the Tiber River crossing the metropolitan area of Rome bounded by the Grande Raccordo Anulare (GRA). The urban Tiber stretch was subdivided in the following sectors: upper (U), middle (M), lower (L) and terminal (T).
PHF3 binds G-rich RNAs and regulates RNA stability through its TFIIS-like domain (TLD) and plant homeodomain (PHD)
GEO Series GSE278179. Homo sapiens. 4 samples. Type: Other.
Data for plant species richness effects on plants and antagnists
<p>Data for plant species richness effects on plants and antagnists</p>
Together for the long run. Plant-soil legacies and co-existence in a species-rich grassland
<p>Unpublished data to chapters 2, 3, 4 and 6 to publication:<br> <br> in ‘t Zandt, D (2020) Together for the long run. Plant-soil legacies and co-existence in a species-rich grassland. PhD thesis, Radboud University, Nijmegen, the Netherlands. ISBN: 978-94-6332-648-3.</p>
Data to manuscript "Habitat and bedrock modify the relationship between plant and herbivore species richness in a South-African savanna"
<p>Data on herbivore abundance and species richness and grass cover and species richness obtained in the MOSAIK project. Detailed description is provided in the manuscript "Habitat and bedrock modify the relationship between plant and herbivore species richness in a South-African savanna".</p>
Data for plant species richness effects on plants and antagnists-2023-09-06
<p>Data for plant species richness effects on plants and antagnists-2023-09-06</p>
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
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OpenNeuro
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