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583 results for “plant distributions”
Evolution in response to climate in the native and introduced ranges of a globally distributed plant
<p><span>The extent to which species can adapt to spatiotemporal climatic variation in their native and introduced ranges remains unresolved. To address this, we examined how clines in cyanogenesis (HCN production—an antiherbivore defense associated with decreased tolerance to freezing) have shifted in response to climatic variation in space and time over a 60-year period in both the native and introduced ranges of <em>Trifolium repens</em>. HCN production is a polymorphic trait controlled by variation at two Mendelian loci (<em>Ac</em> and <em>Li</em>). Using phenotypic assays, we estimated within-population frequencies of HCN production and dominant alleles at both loci (i.e., <em>Ac</em> and <em>Li</em>) from 10,575 plants sampled from 131 populations on 5 continents, and then compared these frequencies to those from historical data collected in the 1950s. There were no clear relationships between changes in the frequency of HCN production, <em>Ac</em>, or <em>Li</em> and changes in temperature between contemporary and historical samples. We did detect evidence of continued evolution to temperature gradients in the introduced range, whereby the slope of contemporary clines for HCN and <em>Ac</em> in relation to winter temperature became steeper than historical clines and more similar to native clines. These results suggest that cyanogenesis clines show no clear changes through time in response to global warming, but introduced populations continue to adapt to their contemporary environments.</span></p>
Soil chemical variables improve models of understory plant species distributions
<div class="page"> <div class="section"> <div class="layoutArea"> <div class="column"><strong>Aim</strong></div> <div class="column">To determine the importance of soil variables relative to more commonly used topo-climatic or remotely sensed variables in species distribution models (SDMs) for understory plants.</div> <div class="column"> </div> <div class="column"><strong>Location</strong></div> <div class="column">White Mountain National Forest, New Hampshire, U.S.A.</div> <div class="column"> </div> <div class="column"><strong>Methods</strong></div> <div class="column">We fit models for presence of 41 forest understory plant species across 158 plots using soil, topographic, and spectral predictors to determine the relative contribution of different predictor types. We determined (a) if the potential importance of soil variables is greater than generally described in SDM literature, (b) which predictors are most important, and (c) if a standard subset of predictors can be used to effectively model all species.</div> <div class="column"> </div> <div class="column"><strong>Results</strong></div> <div class="column">Models containing all three predictor types performed best. Soil and topographic variables had comparable importance; spectral variables were of lesser importance. The best predictor variable was B horizon carbon to nitrogen ratio (B C:N), followed by topographic position index, elevation, and B horizon exchangeable calcium (B Ca). No standard subset effectively modeled all species.</div> <div class="column"> </div> <div class="column"><strong>Main conclusions</strong></div> <div class="column"> Our results and those of other SDMs that include in-situ soil geochemical data suggest that soil variables are increasingly important with more detailed descriptions of soils. Soil fertility data, such as B C:N and B Ca, are particularly important in acidic, forest soils where pH is a poor indicator of fertility. Commonly used topo-climatic variables provide meaningful predictions but are limited by their use of indirect predictor variables, inhibiting transferability and interpretability. The poor performance of models created using standard subsets of variables highlights the uniqueness of each species' niche and the need to combine flexible model building techniques with a variety of predictor variables.</div> </div> </div> </div>
Data from: Phylogenetic distribution and expression pattern analyses identified a divergent basal body assembly protein involved in land plant spermatogenesis
<pre>Data from: Phylogenetic distribution and expression pattern analyses identified a divergent basal body assembly protein involved in land plant spermatogenesis Author information Shizuka Koshimizu1, Naoki Minamino2, Tomoaki Nishiyama3, Emiko Yoro4, Mayuko Sato5, Mayumi Wakazaki5, Kiminori Toyooka5, Kazuo Ebine2,6, Keiko Sakakibara4, Takashi Ueda2,6, and Kentaro Yano1 1 School of Agriculture, Meiji University, Kawasaki 214-8571, Japan 2 Division of Cellular Dynamics, National Institute for Basic Biology, Okazaki 444-8585, Japan 3 Research Center for Experimental Modeling of Human Disease, Kanazawa University, Kanazawa 920-0934, Japan 4 Department of Life Science, Rikkyo University, Tokyo 171‐8501, Japan 5 RIKEN Center for Sustainable Resource Science, Yokohama 230-0045, Japan 6 Department of Basic Biology, SOKENDAI (The Graduate University for Advanced Studies), Okazaki 444-8585, Japan This directory contains 0_README (this file) 1_Marchantia_FL_data 2_Physcomitrella_FL_data 3_Physcomitrella_TEM_images 4_PAML 1_Marchantia_FL_data Raw image data using quantification of spermatid phenotypes in Marchantia. quantification.xlsx: Summary of quantification data. 211111 and 211210: Observation date. ∟Mpbld10-1, Mpbld10-2, and Tak-1: Observed lines. ∟raw data: *.lsm files are raw image data. ∟binary image: *.tif files are binarization images of the Hoechst33342 data. ∟DIC: *.tif files are maximum intensity projection images of the C2 channels (detection of DIC images) of the raw data. ∟Hoechst33342: *.tif files are maximum intensity projection images of the C1 channels (detection of Hoechst33342 signals) of the raw data. 2_Physcomitrella_FL_data Merged data of DIC and Hoechst33342 signal images using quantification of spermatid phenotypes in Physcomitrella. line22-*.png: The images of Ppbld10-22 mutant. line30-*.png: The images of Ppbld10-30 mutant. wt.png: The images of wild type. Number in the images 1: With flagella 2: Without flagella 3_Physcomitrella_TEM_images TEM images of spermatids in the Ppbld10-30 mutant, except for images shown in Supporting Information Fig. S11. 4_PAML Files using analysis by PALM. input.fasta: Input multi fasta file. species_tree.nwk: The gene tree file for the global clock model (rooted using chlorophytes as an outgroup). species_tree_marked.nwk: A gene tree file with marks specifying land plant stem and crown branches as category #1 (for a local clock model). clock1: A directory containing output files of a PAML run with the global clock model (clock = 1) clock2: A directory containing output files of a PAML run with a local clock model (clock = 2). The branches assumed to have a different rate (r1) than the default rate r0 are specified with #1 in species_tree_marked.nwk.</pre>
Niche partitioning overrides interspecific competition to determine plant species distributions along a nutrient gradient
<p>Changes in some combination of niche availability, niche overlap and the strength of interspecific interactions are thought to drive changes in plant composition along resource gradients. However, because these processes are difficult to measure in the field, their relative importance in driving compositional change in plant communities remains unclear. In an Australian temperate grassland, we added seeds of three native and three exotic grasses to 1,875 experimental plots in a way that allowed us to simultaneously estimate niche availability, niche overlap and the strength of pairwise interspecific interactions along a gradient of nutrient availability, obtained by adding 0, 5 or 20 g/m<sup>2</sup> each of nitrogen, phosphorous and potassium jointly to plots. Niche availability (the proportion of microsites suitable for establishment and growth) was generally low and did not vary in response to nutrient addition. Most species co-occurred along the nutrient gradient by partitioning the available niche space. Where species interacted due to niche overlap, the abundance of one species, the native <em>Chloris</em> <em>truncata</em>, was usually facilitated by other species, with each of the five other species increasing the niche availability to <em>C</em>. <em>truncata</em> under at least one nutrient treatment. <em>Chloris</em> <em>truncata</em> also competitively excluded two species from some but not all sites they could otherwise have occupied. These outcomes did not clearly differ across nutrient treatments. Our results show that fine-scale spatial heterogeneity in establishment microsites can enable species to co-occur via niche partitioning, and competitive exclusion is rare. This finding contributes to an emerging picture that niche partitioning is common and frequently a stronger influence on recruitment outcomes than interspecific competition. The importance of competition in structuring plant communities may be overestimated if recruitment processes are overlooked.</p>
Plant community formation and species distribution pattern in relation to environmental variables in Endiras Natural Forest, northwest Ethiopia
<p><span>The study was conducted in Endiras Forest, Northwest Ethiopia, so as to evaluate the effects of environmental variables on the patterns of plant community formation. A systematic random sampling technique was used to collect vegetation data from 56 (20 m x 20 m) plots laid at 100 m intervals on ten transects. In each plot, the species encountered and its percent cover abundance were recorded, which was later transformed into a modified Braun-Blanquet scale. The composite soil samples collected from 15 cm x 15 cm subplots were examined for 13 soil parameters. Communities were determined using cluster analysis. The Shannon-Wiener index was employed to quantify species diversity. The relationships between species and environmental variables were evaluated using Canonical Correspondence Analysis (CCA). Seventy three woody plant species, distributed in 38 families, were documented. Fabaceae was found to be the most species-rich family (21.9%). Five communities were generated from the cluster analyses that vary in diversity. Nine environmental variables were found to be significant in determining patterns of community formation (Pr< 0.05). Organic matter, pH, and altitude, highly correlated with CCA axis 1, are largely shaped the species distribution patterns. Various patterns of community formation demonstrate the need to design different conservation measures.</span></p>
Percentage distribution of plant-fixed carbon in orchid shoots and roots, protocorms, and mycorrhizal fungal mycelium and amount (total and concentration) of carbon transferred to protocorms and mycorrhizal fungal mycelium by green orchids in each experimental microcosm
<p> The minute 'dust seeds' of some terrestrial orchids preferentially germinate and develop as mycoheterotrophic protocorms near conspecific adult plants. In this paper we tested the hypothesis that mycorrhizal mycelial connections provide a direct pathway for transfer of recent photosynthate from conspecific green orchids to achlorophyllous protocorms. Mycelial networks of <em>Ceratobasidium cornigerum </em>connecting green <em>Dactylorhiza fuchsii</em> plants with developing achlorophyllous protocorms of the same species were established on oatmeal or water agar before the shoots of green plants were exposed to <sup>14</sup>CO<sub>2</sub>. After incubation for 48 hours, the pattern of distribution of fixed carbon was visualised in intact entire autotrophic/protocorm systems using digital autoradiography and quantified in protocorms by liquid scintillation counting. The data presented here represent the percentage distribution of the <sup>14</sup>C fixed by the orchids in our experimental systems to plant shoots, roots, protocorms and the mycorrhizal mycelium. We also show the total amount of <sup>14</sup>C present in plant shoots and protocorms when grown in each of the three media tested (100% water agar, 100% oatmeal agar, and 50:50 water: oatmeal agar). We also show the amount of carbon (total and concentration) transferred from green orchids to protocorms and mycorrhizal mycelium in each microcosm across the three media treatments.</p>
Plant community formation and species distribution pattern in relation to environmental variables in Endiras Natural Forest, northwest Ethiopia
<p><span>The study was conducted in Endiras Forest, Northwest Ethiopia, so as to evaluate the effects of environmental variables on the patterns of plant community formation. A systematic random sampling technique was used to collect vegetation data from 56 (20 m x 20 m) plots laid at 100 m intervals on ten transects. In each plot, the species encountered and its percent cover abundance were recorded. The composite soil samples collected from 15 cm x 15 cm subplots were examined for 13 soil parameters. Communities were determined using cluster analysis. The Shannon-Wiener index was employed to quantify species diversity. The relationships between species and environmental variables were evaluated using CCA. Seventy three woody plant species, distributed in 38 families, were documented. Fabaceae was found to be the most species-rich family (21.9%). Five communities were generated from the cluster analysis. Nine environmental variables were found to be significant in determining patterns of community formation (Pr< 0.05). Organic matter, pH, and altitude are largely shaped the species distribution patterns. Various patterns of community formation demonstrate the need to design different conservation measures.</span></p>
Assessing the links between pollinators and the genetic and epigenetic features of plant species with contrasting distribution ranges
<p>In flowering plants, pollinators contribute to gene flow while they also respond to variation in plant traits together determined by genetic, epigenetic and environmental sources of variation. Consequently, a correlation between abundance and diversity of pollinators and the genetic and epigenetic characteristics of plant populations such as diversity or distinctiveness is expected. However, no study has explored these long-term dimensions of plant-pollinator interactions. Mediterranean narrow endemics often exhibit unexpectedly high levels of population genetic and epigenetic diversity. We hypothesize that pollinators may contribute to explain this pattern. Specifically, given the higher sensitivity of small, isolated population to gene flow, we expect a stronger association of pollinators with population genetic and epigenetic variability in narrow endemics than in widely distributed congeners. We studied five pairs of congeneric plant species, consisting of one narrow endemic with a restricted distribution and one widespread congener, found in the Sierra de Cazorla mountains (SE Spain). We characterized the pollinators in up to three populations per species to estimate their diversity and visitation rates. Additionally, we calculated the genetic and epigenetic diversity and distinctiveness of each population using AFLP markers and methylation-sensitive AFLP markers (MSAP), respectively. We assessed the relationship between pollinator diversity and visitation rates. The diversity of pollinators did not vary according to the plant´s distribution range, but visitation rate was higher in widespread species. As predicted, only narrow endemics showed a significant association between pollinators and their population genetic and epigenetic characteristics. Specifically, higher pollinator diversity and visitation rates entailed higher population genetic diversity and lower epigenetic distinctiveness. This work shows the importance of investigating the relationship between pollinator diversity and population genetics and epigenetics to better understand the evolution of plant rarity.</p>
The niche through time: Considering phenology and demographic stages in plant distribution models
<p>Species distribution models (SDMs) are widely used to infer species-environment relationships, predict spatial distributions, and characterise species' environmental niches. While the importance of space and spatial scales is widely acknowledged in SDM applications, temporal components of the niche are rarely addressed. We discuss how phenology and demographic stages affect model inference in plant SDMs. Ignoring conspicuousness and timing of phenological stages may bias niche estimates through increased observer bias, while ignoring stand age may bias niche estimates through temporal mismatches with environmental variables, especially during times of rapid global warming. We present different methods to consider phenology and demographic stages in plant SDMs, including the selection of causal, spatiotemporally explicit predictors, and the calibration of stage-specific SDMs. Based on a case study with citizen science data, we illustrate how spatiotemporal SDMs provide deeper insights on the coincidence of range and phenological shifts under climate change. The proliferation of digitally available biodiversity and citizen science data increasingly allows considering time explicitly in SDMs. This offers a more mechanistic understanding of plant distributions, and more robust predictions under global change, especially if the reporting of phenological stages and age is facilitated and promoted by relevant data portals.</p>
Figure 1 in Within-plant distribution and rapid assessment of sugarcane rust mite population on sugarcane canopy
Figure 1 Mites appearances in visual direct count (left) and imprinting techniques (right).
Fig. 4 in New distributional records of non-native vascular plants in northern Italy
Fig. 4 - Perilla frutescens, Basaluzzo (AL), September 2014 (Photo: F. Verloove).
Fig. 3 in New distributional records of non-native vascular plants in northern Italy
Fig. 3 - Oenothera pedemontana, Bereguardo (PV), September 2014 (Photo: N. Ardenghi).
Fig. 2 in New distributional records of non-native vascular plants in northern Italy
Fig. 2 - Bidens vulgatus, Martignana di Po (CR), September 2014 (Photo: F. Verloove).
Fig. 5 in New distributional records of non-native vascular plants in northern Italy
Fig. 5 - Populus deltoides, San Rocco al Porto (LO), September 2014 (Photo: F. Verloove).
Fig. 5 in Taxonomic Notes and New Distribution and Host Plant Records for Sawflies and Woodwasps (Hymenoptera, Symphyta) of Japan IX
Fig. 5.ɹEmpria takeuchii, ovipositor (A) and serrulae 5–7 (B), Nakagawa. Photographed by H. Hara.
Plant diversity darkspots for global collection priorities: time-to-event datasets per botanical country as defined by the World Geographical Scheme for Recording Plant Distributions (WGSRPD).
<p>Datasets used to predict the number of plant species remaining to be described and/or geolocated within a botanical country, which represents the third level of subdivision (generally equating to a political country) used by WGSRPD for recording plant distributions. The folder is composed of two subfolders <em>has_coords</em> and <em>has_no_coords</em> containing the time-to-event data for species with valid and no (invalidated) occurrence records within a given botanical country respectively<em>.</em></p> <ul> <li>Each folder contains a<strong> </strong>list of 361 botanical countries with the following 16 fields:</li> </ul> <pre><strong>species:</strong> species name<br><strong>time_ofdescription:</strong> year of the (first) description<br><strong>time_ofcollection:</strong> year of the collection of the earliest record<br><strong>family:</strong> species family name<br><strong>lifeform_description: </strong>the life form categorised into 4 classes <br><strong>CHELSA_bio_1: </strong>annual mean temperature (°C)<br><strong>CHELSA_bio_12:</strong> annual precipiation (mm)<br><strong>CHELSA_bio_15</strong>: temperature seasonality (-)<br><strong>CHELSA_bio_4</strong>: precipitation seasonality (-)<br><strong>elevation</strong>: elevation (m)<br><strong>range_size_area:</strong> total area of the botanical countries encompassing the species' native range <br>according to the World Checklist of Vascular Plants (WCVP) (km^2) <br><strong>taxo_activity</strong>: taxonomic activity calculated as the number of named authors in the World Checklist of Vascular Plants<br>describing species from the same family during the year of description of the species,<br>divided by the number of species described within the given family that year. <br><strong>num_records_per_year:</strong> geographic activity calculated as the number of occurrence records<br>collected within the native range of the species, divided by the number of years between <br>the earliest and the lastest (first) record collected within this range.<br><strong>num_uses</strong>: number of human uses<br><strong>time_todescription:</strong> number of years between the (first) description and 1753<br><strong>time_tocollection:</strong> number of years between the (first) description and the collection of the first record of the species<br><br></pre> <p> </p>
Fig. 4 in New distribution record of northern lineage plant of Stellaria filicaulis (Caryophyllaceae) from South Korea
Fig. 4. Distribution of Stellaria filicaulis Makino in Yeoncheon-gun, Gyeonggi-do, South Korea.
Fig. 1 in Distribution, habitat use and plant associations of Moluchia brevipennis (Saussure, 1864) (Blattodea: Ectobiidae): an endemic cockroach from Chilean Mediterranean Matorral biome
Fig. 1. Registration points and theoretical presence extension of M. brevipennis.
Sequencing data from: Divergent lineages in a young species: the case of Datilillo (Yucca valida), a broadly distributed plant from the Baja California Peninsula
<div> <div> <p><strong>Premise: </strong>Globally, barriers triggered by climatic changes have caused habitat fragmentation and population allopatric divergence. Across North America, oscillations during the Quaternary have played important roles in the distribution of wildlife. Notably, diverse plant species from the Baja California Peninsula in western North America, isolated during the Pleistocene glacial–interglacial cycles, exhibit strong genetic structure and highly concordant divergent lineages across their ranges. A representative plant genus of the peninsula is <em>Yucca</em>, with <em>Y. valida</em> having the widest range. Although a dominant species, it has an extensive distribution discontinuity between 26° N and 27° N, suggesting restricted gene flow. Moreover, historical distribution models indicate the absence of an area with suitable conditions for the species during the Last Interglacial, making it an interesting model for studying genetic divergence.<br>Methods: We assembled 4411 SNPs from 147 plants of <em>Y. valida</em> throughout its range to examine its phylogeography to identify the number of genetic lineages, quantify their genetic differentiation, reconstruct their demographic history and estimate the age of the species.<br>Results: Three allopatric lineages were identified based on the SNPs. Our analyses support that genetic drift is the driver of genetic differentiation among these lineages. We estimated an age of less than 1 million years for the common ancestor of <em>Y. valida</em> and its sister species.<br>Conclusions: Habitat fragmentation caused by climatic changes, low dispersal, and an extensive geographical range gap acted as cumulative mechanisms leading to allopatric divergence in <em>Y. valida</em>.</p> </div> </div>
Plant forms, habitat and distribution: clipped taxa plant forms
<p>Data snapshot- aggregated from various literature and online sources, see record level metadata for details.</p> <p> </p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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International Brain Laboratory public data
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OpenNeuro
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