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1,116 results for “plant community”
Viroplant Project - Microcosm studies on the effect of bacteriophages used as plant protection products on soil microbial communities
<p>This file contains the description, data and DNA analyses on the effect of bacteriophages with a potential to be used as plant protecction products on the structure and function of soil microbial communities. The objective was to evaluate two different microcsom incubation systems with phages and microbial cells from soil, or soil itself and to analyses in a time dependent manner how the phages affect the natural soil microbiomes. The microbial communities were quantified with qPCR and their diversity analyzed with PCR amplified 16S rRNA gene sequences. Bioinformatic analyses were used to evaluate microbial community responses</p>
Simple attributes predict the value of plants as hosts to fungal and arthropod communities
Fungal and arthropod consumers constitute the vast majority of global terrestrial biodiversity. Yet, the link from richness and composition of producer (plant) communities to the richness of consumer communities is poorly understood. Fungal and arthropod species richness could be a simple function of producer species richness at a site. Alternatively, it could be a complex function of chemical and structural properties of the producer species making up communities. We used databases on plant-fungus and plant-arthropod trophic links to derive the richness of consumer biota per associated plant species (coined link score). We assessed how well link scores could be predicted by simple attributes of plant species. Next, we used a multi-taxon inventory of 130 sites, representing all major habitat types in a country (Denmark), to investigate whether link scores summed over plant species in communities (coined link sum) could outperform simple plant species richness as predictor of fungal and arthropod richness at the sites. We found plant species' link scores for both fungi and arthropods to be positively related to plant size, regional occupancy, nativeness and ectomycorrhizal status. Link-based indices generally improved the prediction of richness of fungal and arthropod communities. For fungal communities, both observed link sum (from databases) and predicted link sum (from plant attributes) had high predictive power, while plant richness alone had none. For arthropod communities, predictive performance varied between functional groups. For both fungi and arthropods, richness predictions were further improved by considering abiotic habitat conditions. Our results underline the importance of plants as niche space for the megadiverse groups of arthropods and fungi. The plant-attribute approach holds promise for predicting local and regional consumer richness in areas of the world lacking detailed plant-consumer databases.
Data from: Metabarcoding of soil environmental DNA replicates plant community variation but not specificity
<blockquote> <p>While metabarcoding of plant DNA from their environment is an exciting method that can supplement inventorying of live plant species, the accuracy and specificity has yet to be fully assessed over complex continuous landscapes. In this work, we evaluate plant community profiles produced via metabarcoding of soil by comparing them to a morphological survey. We assessed plant communities by metabarcoding of soil DNA in 130 sites along ecological gradients (nutrients, succession, moisture) in Denmark using chloroplast <i>trn</i>L region (10-143 bp) primer set and compared the resulting communities to communities produced with a longer nuclear ITS2 region (~216 bp) and a morphological survey. We found that the community variation observed within the morphological survey was well represented by molecular surveys, with significant correlation with both community composition and richness using both primer sets. While the majority of the ITS2 sequences could be assigned to species (over 80%), we had less success with the <i>trn</i>L sequences (70%), which was only possible after restricting the reference database to local species. We conclude that the community profiles produced by metabarcoding can be highly effective in performing large-scale macroecological studies. However, the discovery rates and taxonomic assignments produced via metabarcoding remained inferior to morphological surveys, but manual curation of databases improves the <i>specificity</i> of assignments made by the <i>trn</i>L primers, and improves the <i>accuracy</i> of the assignments made with the ITS2 primers. Finally, we suggest that a greater percentage of named diversity would be recovered by increasing soil sampling with the use of additional universal primer sets.</p> </blockquote>
Local communities' perceptions of wild edible plant and mushroom change: A systematic review
<p>These datasets are the basis of publication "Local communities’ perceptions of wild edible plant and mushroom change: A systematic review", DOI: https://doi.org/10.1016/j.gfs.2021.100601<br> File GFS_paperIDs.csv lists the articles that are included in the systematic review with their identification numbers.<br> File GFS_data_papers.csv contains data related to the articles reporting on changes of wild edible plants.<br> File GFS_data_plants.csv contains data related to the plant species that are affected by the changes.<br> File GFS_variable_desriptions.txt informs about the variables in files GFS_data_papers.csv and GFS_data_plants.csv.</p>
Data for manuscript: Ecological lags govern the pace and outcome of plant community responses to 21st century climate change
<p>These data were used in the analyses reported in Block et al. "Ecological lags govern the pace and outcome of plant community responses to 21st century climate change".</p>
Data and code from: Geomorphological processes shape plant community traits in the Arctic
<p><strong>Aim</strong></p> <p>Geomorphological processes profoundly affect plant establishment and distributions, but their influence on functional traits is insufficiently understood. Here, we unveil trait-geomorphology relationships in Arctic plant communities.</p> <p> </p> <p><strong>Location</strong></p> <p>High-Arctic Svalbard, low-Arctic Greenland, and sub-Arctic Fennoscandia.</p> <p> </p> <p><strong>Time period</strong></p> <p>2011-2018</p> <p> </p> <p><strong>Major taxa studied</strong></p> <p>Vascular plants</p> <p> </p> <p><strong>Methods</strong></p> <p>We collected field-quantified data on vegetation, geomorphological processes, microclimate, and soil properties from 5280 plots and 200 species across the three Arctic regions. We combined these data with database trait records to relate local plant community trait composition to dominant geomorphological processes of the Arctic, namely cryoturbation, deflation, fluvial processes, and solifluction. We investigated the relationship between plant functional traits and geomorphological processes using hierarchical generalised additive modelling.</p> <p> </p> <p><strong>Results</strong></p> <p>Our results demonstrate that community-level traits are related to geomorphological processes, with cryoturbation most strongly influencing both structural and leaf economic traits. These results were consistent across regions, suggesting a coherent biome-level trait response to geomorphological processes.</p> <p> </p> <p><strong>Main conclusions</strong></p> <p>The results indicate that geomorphological processes shape plant community traits in the Arctic. We provide empirical evidence for the existence of generalisable relationships between plant functional traits and geomorphological processes. The results indicate that the relationships are consistent across these three distinct tundra regions and that geomorphological processes should be considered in future investigations of functional traits.</p> <p> </p> <p>Kemppinen, Niittynen, Happonen, le Roux, Aalto, Hjort, Maliniemi, Karjalainen, Rautakoski & Luoto. Provisionally accepted. Geomorphological processes shape plant community traits in the Arctic. Global Ecology and Biogeography.</p> <p>These are the data and code from Kemppinen et al. (Provisionally accepted).</p>
Fig. 1 in Species Composition And Structure Of The Communities Of Plant-Parasitic And Free-Living Soil Nematodes In The Greenhouses Of Botanical Gardens Of Ukraine
Fig. 1. Dendrogram of similarity of the nematode communities in the greenhouses of botanical gardens of Ukraine (amalgamation by the method of complete linkage). Explanation of the abbreviations is given in table 2. Рис. 1. Дендрограмма сходства нематодных сообществ в оранжереях ботанических садов Украины (объединение по методу полной связи). Расшифровка сокращений дана в таблице 2.
Fig. 2 in Species Composition And Structure Of The Communities Of Plant-Parasitic And Free-Living Soil Nematodes In The Greenhouses Of Botanical Gardens Of Ukraine
Fig. 2. Dendrogram of similarity of plant-parasitic nematodes' communities in the greenhouses of botanical gardens of Ukraine (amalgamation by the method of complete linkage). Explanation of the abbreviations is given in table 2.
Dataset for "Alien plants tend to occur in species-poor communities"
<p>This dataset contains the list of plant species, their abundances, vegetation types, and the area of the vegetation plots analyzed in the paper titled “<strong>Alien plants tend to occur in species-poor communities</strong>” by Padullés Cubino et al. (2022; Neobiota). </p> <p>These data were obtained from the Czech National Phytosociological Database (Chytrý and Rafajová, 2003) (<a href="https://botzool.cz/vegsci/phytosociologicalDb">https://botzool.cz/vegsci/phytosociologicalDb</a>).</p> <p>The dataset contains 2 tables:</p> <ol> <li>“Metadata.xlsx”: It includes a description of the fields found in "plot_species.csv".</li> <li>“plot_species.csv”: It includes the list of angiosperm plant taxa, their abundance cover, associated vegetation type, and the area of each vegetation plot.</li> </ol> <p>References: </p> <p>Chytrý M, Rafajová M (2003) Czech National Phytosociological Database: basic statistics of the available vegetation-plot data. Preslia 75: 1–15.</p>
Plant management but not fertilization mediates soil carbon emission and microbial community composition in subtropical Eucalyptus plantations
<p><span>The diversity of </span><span>plant functional group</span><span>s</span><span> in plantations affects soil carbon, but we have limited understanding of the underlying mechanisms for how plant management affects soil carbon dynamics. Here, we conducted a 3-year manipulation experiment of plant functional groups that included understory removal, tree root trenching, and fertilization treatments in 2-year-old and 6-year-old <em>Eucalyptus</em> plantations in the subtropical region. The results showed that soil respiration was significantly suppressed by understory removal (-38%), tree root trenching (-41%), and their interactions (-54%), but that fertilization alone and in interactions had no significant effect. The Chao1 indices for soil bacterial and fungal diversity significantly decreased with understory removal in the 2-year-old plantation and with tree root trenching in the 6-year-old plantation. Soil bacterial and fungal communities were also affected by understory removal and tree root trenching. Soil respiration, physicochemical characteristics, microbial diversity, and community composition were significantly affected by plantation age. Reductions in soil carbon emissions were associated with reductions in plant functional groups and soil microbial groups, while increases in soil respiration were associated with soil physicochemical factors, soil temperature, and plantation age. Our findings highlight that plant managements are of great significance to the soil carbon emission processes in afforested plantations.</span></p>
Dataset of Rainy years counteract negative effects of drought on taxonomic, functional, and phylogenetic diversity: resilience in annual plant communities
<p>Data used in the article: </p> <p><strong>Rainy years counteract negative effects of drought on taxonomic, functional, and phylogenetic diversity: resilience in annual plant communities</strong></p> <p><strong>Abstract</strong></p> <p>1- Climate models forecast changes in the amounts and distribution of rain, which may affect ecosystems worldwide, especially in drylands where water is already the limiting factor for plant life. Annual plant communities are common in drylands where they can complete their entire life cycle during the rainy period while avoiding the dry season. Moreover, seed dormancy allows them to disperse over time by remaining in the seed bank for long periods. However, the extent to which these communities will be able to tolerate increasing drought is uncertain.</p> <p>2- We performed a five-year rainfall reduction treatment under field conditions and determined its effects on annual plant communities in a Mediterranean gypsum ecosystem. We assessed the taxonomic, functional, and phylogenetic diversity of these communities each year for five years.</p> <p>3-The taxonomic and functional diversity decreased under the rainfall reduction treatment whereas the phylogenetic diversity increased. Moreover, the relative importance of species with drought-resistant functional designs increased in the community assemblages. However, after a rainy season with above average rainfall, all of the diversity values recovered completely even under the rainfall reduction treatment.</p> <p>4- Our results provide important insights into the responses of these plant communities under a climate change scenario, where they indicate high losses of diversity during drought events but rapid recovery in milder years.</p> <p><em>Synthesis</em> Our findings highlight the great resilience of annual plant communities in drylands, which may allow them to tolerate increased drought under the present climate change scenario.</p>
Data from: Plant community stability is associated with a decoupling of prokaryote and fungal soil networks
<p>Data from the manuscript Plant community stability is associated with a decoupling of prokaryote and fungal soil networks: https://doi.org/10.1101/2022.06.21.496867</p>
Opposing community assembly patterns for dominant and non-dominant plant species in herbaceous ecosystems globally
<p>Biotic and abiotic factors interact with dominant plants —the locally most frequent or with the largest coverage— and non-dominant plants differently, partially because dominant plants modify the environment where non-dominant plants grow. For instance, if dominant plants compete strongly, they will deplete most resources, forcing non-dominant plants into a narrower niche space. Conversely, if dominant plants are constrained by the environment, they might not exhaust available resources but instead may ameliorate environmental stressors that usually limit non-dominants. Hence, the nature of interactions among non-dominant species could be modified by dominant species. Furthermore, these differences could translate into a disparity in the phylogenetic relatedness among dominants compared to the relatedness among non-dominants. By estimating phylogenetic dispersion in 78 grasslands across five continents, we found that dominant species were clustered (e.g., co-dominant grasses), suggesting dominant species are likely organized by environmental filtering, and that non-dominant species were either randomly assembled or overdispersed. Traits showed similar trends for those sites (<50%) with sufficient trait data. Furthermore, several lineages scattered in the phylogeny had more non-dominant species than expected at random, suggesting that traits common in non-dominants are phylogenetically conserved and have evolved multiple times. We also explored environmental drivers of the dominant/non-dominant disparity. We found different assembly patterns for dominants and non-dominants, consistent with asymmetries in assembly mechanisms. Among the different postulated mechanisms, our results suggest two complementary hypotheses seldom explored: (1) Non-dominant species include lineages adapted to thrive in the environment generated by dominant species. (2) Even when dominant species reduce resources to non-dominant ones, dominant species could have a stronger positive effect on some non-dominants by ameliorating environmental stressors affecting them, than by depleting resources and increasing the environmental stress to those non-dominants. These results show that the dominant/non-dominant asymmetry has ecological and evolutionary consequences fundamental to understand plant communities.</p>
Long-term experimental drought alters floral scent and pollinator visits in a Mediterranean plant community despite overall limited impacts on plant phenotype and reproduction
<p>Pollinators are declining globally, with climate change implicated as an important driver. Climate change can induce phenological shifts and reduce floral resources for pollinators, but little is known about its effects on floral attractiveness and how this might cascade to affect pollinators, pollination functions and plant fitness. We used an in situ long-term drought experiment to investigate multiple impacts of reduced precipitation in a natural Mediterranean shrubland, a habitat where climate change is predicted to increase the frequency and intensity of droughts. Focusing on three insect-pollinated plant species that provide abundant rewards and support a diversity of pollinators (<em>Cistus</em> <em>albidus</em>, <em>Salvia</em> <em>rosmarinus</em> and <em>Thymus</em> <em>vulgaris</em>), we investigated the effects of drought on a suite of floral traits including nectar production and floral scent. We also measured the impact of reduced rainfall on pollinator visits, fruit set and germination in <em>S</em>. <em>rosmarinus</em> and <em>C</em>. <em>albidus</em>. Drought altered floral emissions of all three plant species qualitatively, and reduced nectar production in <em>T</em>. <em>vulgaris</em> only. <em>Apis</em> <em>mellifera</em> and <em>Bombus</em> gr. <em>terrestris</em> visited more flowers in control plots than drought plots, while small wild bees visited more flowers in drought plots than control plots. Pollinator species richness did not differ significantly between treatments. Fruit set and seed set in <em>S. rosmarinus</em> and <em>C. albidus </em>did not differ significantly between control and drought plots, but seeds from drought plots had slower germination for <em>S. rosmarinus</em> and marginally lower germination success in <em>C. albidus</em>.</p> <p><em>Synthesis</em>. Overall, we found limited but consistent impacts of a moderate experimental drought on floral phenotype, plant reproduction and pollinator visits. Increased aridity under climate change is predicted to be stronger than the level assessed in the present study. Drought impacts will likely be stronger and this could profoundly affect the structure and functioning of plant-pollinator networks in Mediterranean ecosystems.</p>
Alpine butterflies want to fly high: Species and communities shift upwards faster than their host plants
<p>Despite sometimes strong co-dependencies of insect herbivores and plants, responses of individual taxa to accelerating climate change are typically studied in isolation. Thereby, biotic interactions that potentially limit species in tracking their preferred climatic niches are ignored. Here, we chose butterflies as a prominent representative of herbivorous insects to investigate the impacts of temperature changes and their larval host plant distributions along a 1.4 km elevational gradient in the German Alps. Following a sampling protocol of 2009, we re-visited 33 grassland plots in 2019 over an entire growing season. We quantified changes in butterfly abundance and richness by repeated transect walks on each plot and disentangled the direct and indirect effects of locally assessed temperature, site management, and larval and adult food resource availability on these patterns. Additionally, we determined elevational range shifts of butterflies and host plants at both the community and species level. Comparing the two sampled years (2009, 2019), we found a severe decline in butterfly abundance and a clear upward shift of butterflies along the elevational gradient. We detected shifts in the peak of species richness, community composition and at the species level, whereby mountainous species shifted particularly strongly. In contrast, host plants showed barely any change, neither concerning species richness, nor individual species shifts. Further, temperature and host plant richness were the main drivers of butterfly richness, with change in temperature explaining best the change of richness over time. We conclude that host plants are not yet hindering butterfly species and communities from shifting upwards. However, the mismatch between butterfly and host plant shifts might become a problem for this very close plant-herbivore relationship, especially towards higher elevations, if butterflies fail to adapt to new host plants. Further, our results support the value of conserving traditional extensive pasture use as a promoter of host plants and thereby butterfly richness.</p>
BeeDNA: microfluidic environmental DNA metabarcoding as a tool for connecting plant and pollinator communities
<p><strong>Data repository accompanying the paper 'BeeDNA: microfluidic environmental DNA metabarcoding as a tool for connecting plant and pollinator communities' by Harper et al. (2021).</strong></p> <p><br> <strong>1_Raw_Data.zip</strong><br> This zipped folder contains the raw sequence data (sorted by primer set and demultiplexed) for both sequencing runs (2019-10-24 and 2019-11-11). To decompress each file, run: </p> <pre><code>tar -xvf filename.bz2</code></pre> <p>This will create a folder for each primer set containing the raw reads for each sample/control.</p> <p><br> <strong>2_Anacapa_Bioinformatic_Processing.zip</strong></p> <p>This zipped folder contains all files needed to perform bioinformatic processing with Anacapa. Please process sequence data belonging to each primer set individually (i.e. do not process sequence data belonging to different primer sets together).</p> <p><br> <strong>3_metaBEAT_Bioinformatic_Processing.zip </strong></p> <p>This zipped folder contains the scripts and files needed to perform bioinformatic processing with metaBEAT. Before running the scripts, move the raw reads for each sample belonging to each primer set into the dedicated folder within metaBEAT_Bioinformatic_Processing, e.g. all .fastq files in Raw_Data > BF1_BR1 should be moved to metaBEAT_Bioinformatic_Processing > BF1-BR1 > raw_reads.</p> <p>To run metaBEAT, you will have to install Docker on your computer. Docker is compatible with all major operating systems, but see the Docker documentation for details. On Ubuntu, installing Docker should be as easy as:</p> <pre><code>sudo apt-get install docker.io</code></pre> <p>Once Docker is installed, you can enter the environment by typing:</p> <pre><code>sudo docker run -i -t --net=host --name metaBEAT -v $(pwd):/home/working chrishah/metabeat /bin/bash</code></pre> <p>This will download the metaBEAT image (if not yet present on your computer) and enter the 'container', i.e. the self contained environment (NB: sudo may be necessary in some cases). With the above command, the container's directory /home/working will be mounted to your current working directory (as instructed by $(pwd)). In other words, anything you do in the container's /home/working directory will be synced with your current working directory on your local machine.</p> <p>Please process sequence data belonging to each primer set individually (i.e. do not process sequence data belonging to different primer sets together). An example of expected outputs can be seen in the Jupyter Notebook for the BF1/BR1 primer set from the 2019-11-11 sequencing run.</p> <p><br> <strong>4_Illinois_Invert_Reference_Database.zip</strong></p> <p>This zipped folder contains all files that were used to generate the custom COI and 16S reference databases for invertebrates that occur in Illinois, U.S. You will need to have metaBEAT installed (see above) before you try to run any Jupyter Notebooks (.ipynb files).</p> <p><br> <strong>5_ecoPCR.zip</strong></p> <p>This zipped folder contains all files used to perform ecoPCR for each primer set evaluated for microfluidic eDNA metabarcoding. You will need to <a href="https://git.metabarcoding.org/obitools/ecopcr/wikis/home">install ecoPCR</a> before running any shell scripts.</p> <p><br> <strong>6_Tidied_Data.zip</strong></p> <p>This zipped folder contains the taxonomically assigned data for both sequencing runs produced by metaBEAT and Anacapa. These were copied over from the folders 2_Anacapa_Bioinformatic_Processing and 3_metaBEAT_Bioinformatic_Processing and rearranged into a more logical order. These files are used as the input for data analysis using R.</p> <p><br> <strong>7_Data_Analysis.zip</strong></p> <p>This zipped folder contains all scripts and metadata required to summarise and statistically analyse data in R.</p> <p> </p> <p><strong>Please contact Dr Lynsey Harper (lynsey.harper2@gmail.com) or Dr Mark Davis (davis63@illinois.edu) if you encounter any issues!</strong></p>
Data and code from: Functional rarity of plants in German hay meadows - patterns on the species level and mismatches with community species richness
<p>Functional rarity (FR) - a feature combining a species' rarity with the distinctiveness of its traits - represents a promising tool to better understand the ecological importance of rare species and consequently to protect functional diversity more efficiently. Yet, we lack a systematic understanding of FR on both the species level (which species are functionally rare and why) and the community level (how is FR associated with biodiversity and environmental conditions). Here, we quantify FR for 218 plant species from German hay meadows on a local, regional, and national scale by combining data from 6500 vegetation relevés and 15 ecologically relevant traits. We investigate the association between rarity and trait distinctiveness on different spatial scales via correlation measures and show which traits lead to low or high trait distinctiveness via distance-based redundancy analysis. We test how species richness and FR are correlated and use boosted regression trees to determine environmental conditions driving species richness and FR. On the local scale, only rare species showed high trait distinctiveness while on larger spatial scales rare and common species showed high trait distinctiveness. As infrequent trait attributes (e.g., legumes, low clonality) led to higher trait distinctiveness, we argue that functionally rare species are either specialists or transients. While specialists occupy a particular niche in hay meadows leading to lower rarity on larger spatial scales, transients display distinct but maladaptive traits resulting in high rarity across all spatial scales. More functionally rare species than expected by chance occurred in species-poor communities indicating that they prefer environmental conditions differing from characteristic conditions of species-rich hay meadows. Finally, we argue that functionally rare species are not necessarily relevant for nature conservation, since many were transients from surrounding habitats. Yet, FR can facilitate our understanding of why species are rare in a habitat and under which conditions these species occur.</p>
Deciphering the interactions between plant species and their main fungal root pathogens in mixed grassland communities
<p>1. Plant diversity can reduce the risk of plant disease, but positive, and neutral effects have also been reported. These contrasting relationships suggest that plant community composition, rather than diversity per se, affects disease risk. Here, we investigated how diversity and composition of plant communities drive root-associated pathogen accumulation belowground.</p> <p>2. In a temperate grassland biodiversity experiment, containing 16 plant species (forbs and grasses), we determined the abundance of root-associated fungal pathogens in individual plant species growing in monocultures and in 4-species mixtures through Illumina MiSeq amplicon sequencing.</p> <p>3. In the plant monocultures, we identified three major fungal pathogens that differed in host range: <em>Paraphoma chrysanthemicola</em>, associated with roots of forb species of the Asteraceae family, <em>Slopeiomyces cylindrosporus</em>, associated with grass species, and <em>Rhizoctonia solani</em>, associated with multiple forb and grass species. In mixtures, there was no significant reduction in relative abundance of these pathogens in their host species as compared to monocultures. However, in mixtures, there was a significant increase in relative abundance of each pathogen in several non-host and host plant species. Across mixtures, plant community composition affected pathogen relative abundance in individual plant species. This effect was driven by the presence of a particular neighbouring plant species (depending on the pathogen), rather than functional group composition (i.e. grass/forb ratio) or averaged pathogen pressure (based on monocultures) of all neighbours. Specifically, the presence of neighbour host species <em>Achillea millefolium</em> significantly increased <em>P. chrysanthemicola</em>, but decreased <em>R. solani</em> relative abundance in several host and non-host plant species in mixtures.</p> <p>4. Synthesis: Our results indicate that interactions between different plant species – both host and non-hosts – and fungal pathogens underlie effects of plant diversity on root pathogen abundance. Non-host species may act as pathogen reservoirs in diverse plant communities, as they harboured certain pathogens in mixtures, but not in monocultures. Additionally, particular host species can strongly affect pathogen abundance in other (host and non-host) plant species in plant mixtures, suggesting clear effects of species identity in the diversity-disease relationship. Belowground disease risk thus depends on plant community composition rather than diversity per se, via specific interactions between plant species and their root-associated pathogens.</p>
Data for: Soil legacy effects of plants and drought on aboveground insects in native and range-expanding plant communities
<p><span>Soils contain biotic and abiotic legacies of previous conditions that may influence plant community biomass and associated aboveground biodiversity. However, little is known about the relative strengths and interactions of the various belowground legacies on aboveground plant-insect interactions. We used an outdoor mesocosm experiment to investigate the belowground legacy effects of range-expanding versus native plants, extreme drought, and their interactions on plants, aphids, and pollinators. We show that plant biomass was influenced more strongly by the previous plant community than by a previous summer drought. Plant communities consisted of four congeneric pairs of natives and range expanders, and their responses were not unanimous. </span><span>Legacy effects affected the abundance of aphids more strongly than pollinators</span><span>. We conclude that historical climate warming-induced plant latitudinal range expansion and extreme drought contingencies can be contained as soil 'memories' that influence plant performance and aboveground community interactions in the next growing season.</span></p>
Supplementary material 1 from: Spafford R, Lortie C, Butterfield B (2013) A systematic review of arthropod community diversity in association with invasive plants. NeoBiota 16: 81-102. https://doi.org/10.3897/neobiota.16.4190
Supplementary material 1 from: Spafford R, Lortie C, Butterfield B (2013) A systematic review of arthropod community diversity in association with invasive plants. NeoBiota 16: 81-102. https://doi.org/10.3897/neobiota.16.4190
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
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
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.