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1,457 results for “feedback”
Air–Sea Coupling Feedbacks over Tropical Instability Waves
<p>This dataset contains a selection of the CROCO-WRF regional coupled model simulation output created and published in the article:</p> <p>Holmes, R., Renault, L., Maillard, L. and Boucharel, J. (2024) Air-sea coupling feedbacks over Tropical Instability Waves, J. Phys. Oceanogr., https://doi.org/10.1175/JPO-D-24-0010.1</p> <p>This dataset contains monthly-averaged output of several key surface variables analysed in the above article. These variables are provided for each of the 5 ensemble members of each of the 4 experiments: 1) the Control, 2) the NoMesoTFB experiment, 3) the NoMesoCFB experiment and 4) the NoCFB experiment. Each of the included tar archives contains all the variables for that experiment. For each experiment, this consists of the following files:</p> <p>croco_out_mon_exp**.ncrcat.nc: 5 files, one for each ensemble member, containing monthly mean SST (temp), zonal velocity (u), meridional velocity (v) and sea level (zeta).</p> <p>croco_out_mon_hp_exp**.ncrcat.nc: 5 files, one for each ensemble member, containing monthly mean high-pass (using the longitude filter described in the article) variances of SST (SST_hp_var), zonal velocity (U_hp_var), meridional velocity (V_hp_var), eddy wind work zonal component (high-pass(u)*high-pass(tau_x), EWWU) and eddy wind work meridional component (high-pass(v)*high-pass(tau_y), EWWV). </p> <p>wrf3d_1M_hp_exp**.ncrcat.nc: 5 files, one for each ensemble member, containing monthly mean high-pass (net surface heat flux) * high-pass (SST), computed on the WRF grid using the longitude filter described in the article [QofSST_hp]. This can be used to compute the APE production by surface heat flux anomalies.</p> <p>This is only a subset of the data used in the article, the largest subset of useful variables that fits within the 50GB Zenodo limit. If other variables are of interest, please contact the lead author.</p> <p>An extensive set of analysis scripts is available on github at https://github.com/rmholmes/PAC12_75_cpl-analysis.</p>
Haptif Feedback Grid Preliminary Data
<p>In this study, 20 participants, without any prior knowledge of how the haptic vibrations would feel when directed on their back, were exposed to randomly selected directional signals. Each participant received two sets of 30 signals, for a total of 60 signals, with a 3-second interval between each one. Initially, diagonal directions were labeled using compass points (e.g., "ne" for northeast), but these were later changed to corresponding terms like "up-right" to improve clarity. The purpose of the study was to assess how well participants could interpret directional cues through haptic feedback, without any preconceived understanding of the signal patterns. The data collected includes only participants' gender and age, ensuring that no personal information was gathered, and no participant can be identified.</p>
Data from: Influences of fire–vegetation feedbacks and post-fire recovery rates on forest landscape vulnerability to altered fire regimes
1. In the context of on-going climatic warming, forest landscapes face increasing risk of conversion to non-forest vegetation through alteration of their fire regimes and their post-fire recovery dynamics. However, this pressure could be amplified or dampened, depending on how fire-driven changes to vegetation feed back to alter the extent or behavior of subsequent fires. 2. Here we develop a mathematical model to formalize understanding of how fire–vegetation feedbacks and the time to forest recovery following high-severity (i.e., stand-replacing) fire affect the extent and stability of forest cover across landscapes facing altered fire regimes. We evaluate responses to increasing burn rates while varying the direction (negative vs. positive) of fire–vegetation feedbacks under a continuum of values for feedback strength and post-fire recovery time to determine how interactions among these variables produce thresholds and tipping points in landscape responses to changing fire regimes. 3. Where the early-seral vegetation is less fire-prone than older forests, negative feedbacks limited the reductions in forest cover in response to increased fire frequency or slower forest recovery. By contrast, positive feedbacks (more flammable early-seral vegetation) produced a tipping point beyond which increased burn rates or slower forest recovery drove extensive forest loss. 4. With negative feedbacks, the rates of forest loss and expansion in response to variation in fire frequency were similar. However, where feedbacks are positive, the conversion from predominantly forested to non-forested conditions in response to increased fire frequency was faster than the re-expansion of forest cover following a return to the initial burn rate. Strengthening the positive feedbacks increased this asymmetry. 5. Synthesis. Our analyses elucidate how fire–vegetation feedbacks and post-fire recovery rates interact to affect the trajectories and rates of landscape response to altered fire regimes. We illustrate the vulnerability of ecosystems with positive fire–vegetation feedbacks to climate change-driven increases in fire activity, especially where post-fire recovery is slow. Although negative feedbacks initially provide resistance to forest loss with increasing burn rates, this resistance is eventually overwhelmed with sufficient increases to burn rates relative to recovery times.
A cerebellar internal model calibrates a feedback controller involved in sensorimotor control
<p>This upload contains datasets from the manuscript by Markov et al., 2021 "A cerebellar internal model calibrates a feedback controller involved in sensorimotor control" (preprint <a href="https://www.biorxiv.org/content/10.1101/2020.02.12.945956v1">here</a>; the code used to acquire and process these data can be found <a href="http://doi.org/10.5281/zenodo.5044042">here</a>). The datasets are organized in the following zip folders:</p> <ul> <li><strong>behavioral_data.zip</strong> contains data from acute reaction and long-term adaptation experiments for wild-type control, treatment control, and Purkinje-cell-ablated zebrafish larvae</li> <li><strong>feedback_control_model.zip</strong> contains parameters of the model after fitting it to the data acquired during the acute reaction experiment.</li> <li><strong>PC_ablation_quantification.zip</strong> contains confocal images of the cerebella of zebrafish larvae before and after pharmaco-genetic ablation of Purkinje cells.</li> <li><strong>reference_brain_stacks.zip</strong> contains z-stacks used for anatomical registration of the functional imaging data</li> <li><strong>whole_brain_imaging_inetgrators.zip</strong> contains whole-brain light-sheet data acquired while zebrafish larvae were performing optomotor response to forward moving grating. This dataset was used to identify sensory integrators in the larval zebrafish brain</li> <li><strong>PC_imaging_long_term_adaptation.zip</strong> contains light-sheet recordings of Purkinje cell activity acquired during long-term adaptation to lagged visual feedback. This dataset was used to identify signatures of internal models in the Purkinje cell activity.</li> <li><strong>whole_brain_imaging_long_term_adaptation.zip</strong> contains whole-brain light-sheet recordings during long-term adaptation to lagged visual feedback. This dataset was used to study correlates of the long-term adaptation in the entire brain (such as change in sensory integration time constants).</li> </ul> <p>For any question about the data, please write at <a href="mailto:ruben.portugues@tum.de">ruben.portugues@tum.de</a> or <a href="mailto:ruben.portugues@tum.de">daniil.markov@charite.de</a>.</p>
Feedbacks between forest structure and an opportunistic fungal pathogen
<p>Abiotic stresses, physiological dysfunction, forest stand dynamics, and primary tree attackers (native and non-native) are all recognized as important contributors to both anomalous tree mortality and background tree mortality, and thus as important influences on biogeochemical cycling and habitat for associated terrestrial organisms. Opportunistic and latent tree pathogens and insect pests have largely been left out of this discussion, probably because they are difficult to monitor and their effects sometimes more diffuse, yet they play important roles in tree mortality scenarios.</p> <p>We know very little about the influence of biotic gradients, e.g., forest dynamics and forest structure, on the occurrence and effects of these opportunistic biotic enemies. To better understand the influence of an important biotic gradient—forest structure as represented by tree density and competition—on the occurrence and distribution of a typical opportunistic pathogen, we analyzed the relationship between tree neighborhood competition and soil-dwelling rhizomorphs of the fungus Armillaria gallica in regenerating (20-yr-old) and mature (80-100-yr-old) hardwood-dominated forest stands in central Missouri following a severe drought.</p> <p>We detected A. gallica, rhizomorphs in twice as many sampling sites in young (dense) plots as in mature (open) plots, and by contrast, found a twofold occurrence of other saprophytic fungi in the soil of mature plots compared to young plots. Mean tree density and competition index were significantly higher in subplots where A. gallica was found than in those with no A. gallica detections, and the pattern of A. gallica occurrence tracked closely with the occurrence of dense "hotspots" of competition in the plots.</p> <p>Synthesis. Early stages of forest structure and succession—potentially through initial inputs of disturbance-produced woody biomass, increased host connectivity and competition-influenced host tree susceptibility to fungal colonization—provide important feedbacks to A. gallica foraging, which in turn influences forest development. The recognition that tree density and competition influence A. gallica foraging suggests that in order to achieve a more comprehensive understanding of forest growth, development, and biogeochemical cycling, it may be necessary to increase life-history studies and basic occurrence surveys for opportunistic tree pathogens and insect pests.</p>
Data from: Arbuscular mycorrhizal fungi communities shaped by host-plant affect the outcome of plant-soil feedback in dryland restoration
<p><span>1. Plant inoculation with Arbuscular mycorrhizal fungi (AMF) can be a useful tool to overcome challenges in dry forest restoration. However, advances are still needed to guide choices regarding soil origin and inoculum production methods, since outcomes can vary due to plant-soil feedbacks (PSF). We evaluate how soil origin and host plant used for inoculum production affect AMF community and therefore the plant biomass accumulation and functional traits.</span></p> <p><span>2. In the conditioning phase, we investigated whether soils originating from a recovered area (Quarry) and a vegetation fragment (Caatinga) would have their AMF communities modified due to the growth of </span><span>Sorghum bicolor</span><span> (used for inoculum production) and </span><span>Senna uniflora</span><span> (used in Brazilian semiarid restoration). In the feedback phase, we compared the performance of four plants species growing on a degraded soil and inoculated or not by a mixture of AMF isolates in comparison to soil inoculum prepared from the conditioning phase.</span></p> <p><span>3. The inoculum from Caatinga presented seven times more AMF species compared to that from the Quarry, which presented ruderal and stress tolerant species. The soil inoculum conditioned by </span><span>S. uniflora</span><span>, regardless of origin, presented greater evenness compared to the soil inoculum produced with </span><span>S. bicolor</span><span> and promoted 33% more plant biomass compared to the control without inoculation. Root colonization by AMF increased PSF and decreased plant investment in functional traits such as specific root length (SRL) and specific leaf area (SLA).</span></p> <p><span>4. Our results demonstrate the importance of adopting strategies that preserve local adaptation of inoculants produced. The use of native plant for propagation of native AMF in the conditioning phase provided more positive responses for </span><span>Mesosphaerum suaveolens</span><span> and </span><span>Rhaphiodon echinus</span><span> than inoculated with introduced AMF isolates. This is probably due to the interaction of inoculated plants with responsive AMF present in the soil.</span></p> <p><span>5. Synthesis and applications</span><span>:</span><span> Our study shows that conditioning field-collected soil with </span><span>S. uniflora</span><span> and using it for inoculation can be a simple technique to promote biomass accumulation for other native herbaceous species. This preserves the compatibility between the soil inoculum produced with native AMF and native plants, representing an important tool for restoration programs</span><span>. </span></p>
Dataset: Users' Software Description vs. Feedback: What Users Write About Existing Software
<p>In 2022, we conducted a study on the awareness of users concerning existing software, For this, we focused on the description and feedback given by the 100 participating users.<br> <br> This data set contain 100 participants' description and feedback about the Komoot hiking app. Both features and software aspects were manually coded in the data set.</p>
Feedback from task force members on the format, frequency and duration of workshop
<p>This dataset gathers the feedback from task force members, gathered through an online questionnaire, on the format, frequency and duration of workshops roganised by DOWEL in view of elaboration White Papers on topics related to smart buildings.</p>
Similar vegetation-geomorphic disturbance feedbacks shape unstable glacier forelands across mountain regions
<p>Glacier forelands are among the most rapidly changing landscapes on Earth. Stable ground is rare as geomorphic processes move sediments across large areas of glacier forelands for decades to centuries following glacier retreat. Yet, most ecological studies sample exclusively on stable terrain to fulfil chronosequence criteria, thus missing potential feedbacks between geomorphic disturbances and vegetation colonization. By influencing vegetation and soil development, such vegetation-geomorphic disturbance feedbacks could be crucial to understand glacier foreland ecosystem development in a changing climate. We surveyed vegetation and environmental properties, including geomorphic disturbance intensities, in 105 plots located on both stable and unstable moraine terrain in two geomorphologically active glacier forelands in New Zealand and Switzerland. Our plot data showed that geomorphic disturbance intensities changed permanently from high/moderate to low/stable when vegetation reached cover values around 40%. Around this cover value, species with response and effect traits adapted to geomorphic disturbances dominated. This suggests that such species can act as 'biogeomorphic' ecosystem engineers that stabilize ground through positive feedback loops. Across floristic regions, biogeomorphic ecosystem engineer traits creating ground stabilization, such as mat growth and association with mycorrhiza, are remarkably similar. Non-metric multidimensional scaling revealed a linked sequence of decreasing geomorphic disturbance intensities and changing species composition from pioneer to late successional species. We interpret this linked geomorphic disturbance-vegetation succession sequence as 'biogeomorphic succession', a common successional pathway in unstable river and coastal ecosystems across the world. Soil and vegetation development were related to this sequence, and only advanced once biogeomorphic ecosystem engineer species covered 40–45% of a plot, indicating a crucial role of biogeomorphic ecosystem engineer stabilization. Different topoclimatic conditions could explain variance in biogeomorphic succession timescales and ecosystem engineer root traits between the glacier forelands. As glacier foreland ground is widely unstable, we propose to consider glacier forelands as 'biogeomorphic ecosystems' in which ecosystem structure and function are shaped by geomorphic disturbances and their feedbacks with adapted plant species, similar to rivers and coasts.</p>
Data - "Suppressing feedback signals to visual cortex abolishes attentional modulation"
<p>Data associated with article "Suppressing feedback signals to visual cortex abolishes attentional modulation"</p>
Plant-soil feedbacks in sympatric Asclepias species
<p>Plants affect associated biotic and abiotic edaphic factors, with reciprocal feedbacks from soil characteristics affecting plants. These two-way interactions between plants and soils are collectively known as plant-soil feedbacks (PSFs). The role of phylogenetic relatedness and evolutionary histories have recently emerged as a potential driver of PSFs, although the strength and direction of feedbacks among sympatric congeners is not well understood. We examined plant-soil feedback responses of Asclepias syriaca, a common clonal milkweed species, with several sympatric congeners across a gradient of increasing phylogenetic distances (A. tuberosa, A. viridis, A. sullivantii, and A. verticillata, respectively). Plant-soil feedbacks were measured through productivity and colonization by arbuscular mycorrhizal (AM) fungi. Asclepias syriaca produced less biomass in soils conditioned by the most phylogenetically distant species (A. verticillata), relative to conspecific-conditioned soils. Similarly, arbuscular mycorrhizal (AM) fungal colonization of A. syriaca roots was reduced when grown in soils conditioned by A. verticillata, compared to colonization in plants grown in soil conditioned by any of the other three Asclepias species, indicating mycorrhizal associations are a potential mechanism of observed positive PSFs. This display of differences between the most phylogenetically distant, but not close or intermediate, paring(s) suggest a potential phylogenetic threshold, although other exogenous factors cannot be ruled out. Overall, these results highlight the potential role of phylogenetic distance in influencing positive PSFs through mutualists.</p>
Data from: Tree species and genetic diversity increase productivity via functional diversity and trophic feedbacks
<p><span>This data was collected in the species × genetic diversity experiment of the Biodiversity–Ecosystem Functioning Experiment China Platform (BEF-China, <a href="http://www.bef-china.com/">www.bef-china.com</a>). This data set includes four species (<em>Alniphyllum fortunei</em>, <em>Cinnamanum camphora</em>, <em>Daphniphyllum oldhamii</em>, and <em>Idesia polycarpa</em>) with the mother trees of all tree individuals known, and </span><span>the offspring from the same mother tree was defined as a seed family. In total, 92 subplots with 4 tree diversity levels were included: species diversity (1 or 4 species) and genetic diversity (1 or 4 seed families per species) which resulted in four tree diversity levels: one species with one seed family (1.1), one species with four seed families (1.4), four species with one seed family per species (4.1) and four species with four seed families per species (4.4). For tree functional traits, five leaf functional traits were measured in 2017 and 2018, including leaf area (LA), specific leaf area (SLA), chlorophyll content (CHL), leaf nitrogen content (LN), and leaf carbon content (LC). Herbivory was visually recorded as leaf damage in 2017. Soil fungal diversity was used as proxies for unspecified trophic interactions. Soil samples were taken on subplot level for the 1.1 and 1.4 diversity treatments, but on plot level for the 4.1 and 4.4 diversity treatments in 2017. Tree community productivity was summed by the biomass of individual trees in each subplot and individual tree biomass (kg) was calculated using the biomass equation (H × BA × CV) of the BEF-China experiment, where CV is a correction factor for stem shape and wood density.</span></p>
Glutathione and neodiosmin feedback sustain plant immunity
<p>Plants have evolved a two-layer immune system comprising pattern-triggered immunity (PTI) and effector-triggered immunity (ETI) that is activated in response to pathogen invasion. Microbial patterns and pathogen effectors can be recognized by surface-localized pattern-recognition receptors (PRRs) and intracellularly localized nucleotide-binding leucine-rich repeat receptors (NLRs) to trigger PTI and ETI responses, respectively. At present, the metabolites activated by PTI and ETI and their roles and signalling pathways in plant immunity are not well understood. In this study, metabolomic analysis showed that ETI and PTI induced various flavonoids and amino acids and their derivatives in plants. Interestingly, both glutathione and neodiosmin content were specifically up-regulated by ETI and PTI, respectively, which significantly enhanced plant immunity. Further studies showed that glutathione and neodiosmin failed to induce a plant immune response in which PRRs/co-receptors were mutated. In addition, glutathione-reduced mutant gsh1 analysis showed that GSH1 is also required for PTI and ETI. Finally, we propose a model in which glutathione and neodiosmin are considered signature metabolites induced in the process of ETI and PTI activation in plants and further continuous enhancement of plant immunity in which PRRs/co-receptors are needed. This model is beneficial for an in-depth understanding of the closed-loop mode of the positive feedback regulation of PTI and ETI signals at the metabolic level.</p>
Inter- and infraspecific plant-soil feedbacks of grass species
<p>Plants continuously interact with soil microbiota. These plant-soil feedbacks (PSFs) are considered a driving force in plant community dynamics. However, most PSF information comes from inter-family studies, with limited information on possible causes. We studied the variation of PSFs between and within grass species and identified the soil microbes that are associated with the observed PSFs effects. We grew monocultures of ten cultivars of three grass species (<em>Lolium perenne, Poa pratensis, Schedonorus arundinaceus</em>) using a two-phase PSF experiment. We measured plant total biomass to determine PSFs between and within species and correlated it with sequenced rhizosphere bacteria and fungi. In the soil conditioning phase, grass species developed microbial legacies that affected the performance of other grass species in the feedback phase. We detected overall negative interspecific PSFs. While we show that <em>L. perenne</em> and <em>P. pratensis</em> increased their performance respectively in conspecific and heterospecific soils, <em>S. arundinaceus</em> was not strongly affected by the legacies of the previous plant species. Contrary to our expectation, we found no evidence for intraspecific variation in PSFs. Bacterial taxa associated with PSFs included members of<em> Proteobacteria</em>, <em>Firmicutes, </em><em>Verrucomicrobia</em> and <em>Planctomycetes</em> whereas fungal taxa included members of <em>Ascomycota.</em> Our results suggest differences in PSF effects between grass species, but not between cultivars within species. Thus, in the studied grass species, there might be limited potential for breeding on plant traits mediated by PSFs. Furthermore, we point out potential microbial candidates that might be driving the observed PSF effects that could be further explored. </p>
Forcing, cloud feedbacks, cloud masking, and internal variability in the cloud radiative effect satellite record (Data)
<p>README file for ERA5-PRP datasets used in:</p> <p>Raghuraman et al., 2023, Journal of Climate,<br> "Forcing, cloud feedbacks, cloud masking, and internal variability in the cloud radiative effect satellite record"</p> <p>Point of Contact: Shiv Priyam Raghuraman, shivr@alumni.princeton.edu</p> <p>30 ERA5-PRP files:</p> <p>2 files: '2000_2020-allsky_small.nc' and '2000_2020-clearsky_small.nc'</p> <ul> <li>all input quantities varying</li> </ul> <p>2 files: 'clim-allsky-clim-var-all.nc' and 'clim-clearsky-clim-var-all.nc'</p> <ul> <li>all input quantities at climatology</li> </ul> <p>13 files: 'clim-var'</p> <ul> <li>Input quantity X at climatology, rest varying</li> <li>X = clouds, q, fal, skt, t, ghg, or o3. Fluxes computed in clear-sky and all-sky, apart from clouds which will only have all-sky.</li> </ul> <p>13 files: 'clim-except-var'</p> <ul> <li>Input quantity X varying, rest at climatology</li> <li>X = clouds, q, fal, skt, t, ghg, or o3. Fluxes computed in clear-sky and all-sky, apart from clouds which will only have all-sky.</li> </ul> <p>Other datasets:</p> <p>GFDL AM4 AMIP and Control<br> https://doi.org/10.5281/zenodo.4784726</p> <p>CMIP6 Control, Historical, RFMIP<br> Downloaded from ESGF</p>
LULC input and CLM5 carbon output "Chemistry-albedo feedbacks offset up to a third of forestation's CO2 removal benefits."
<p>Land use land cover (LULC) files for the CESM and UKESM simulations performed for the study "Chemistry-albedo feedbacks from reforestation reduce climate benefits and crop yields. The input data was processed to make it compatible for UKESM as described in Weber et al (2022) https://doi.org/10.5194/egusphere-2022-748.</p>
Soil, litter and vegetation carbon for the 6 simulations performed in CLM5 of "Chemistry-albedo feedbacks offset up to a third of forestation's CO2 removal benef"
<p>Soil, litter and vegetation carbon for the 6 simulations performed in CLM5 (Table S1) of "Chemistry-albedo feedbacks from reforestation reduce climate benefits and crop yields"</p> <p>i.clm5.global_MF_SSP1.h1.2015-2100_zip.nc - SSP126_MF_Land</p> <p>i.clm5.global_SSP1_nolulcc.clm2.h1.2015-2100_zip.nc - SSP126_2015_Land </p> <p>i.clm5.global_SSP1.h1.2015-2100_zip.nc - SSP126_Land</p> <p>i.clm5.global_MF_SSP3.02.h1.2015-2100_zip.nc - SSP370_MF_Land</p> <p>i.clm5.global_SSP3.02.h1.2015-2100_zip.nc - SSP370_Land</p> <p>i.clm5.global_SSP3_nolulcc.clm2.h1.2015-2100_zip.nc - SSP370_2015_Land</p> <p> </p> <p>These simulations were performed by Dr James King, University of Sheffield.</p> <p> </p>
Supporting Data Set for Paper "Using GUI Test Videos to Obtain Stakeholders' Feedback"
<p>This data set is a supporting material for an accepted paper "Using GUI Test Videos to Obtain Stakeholders’ Feedback" on <a href="https://conf.researchr.org/track/icssp-2023/">ICSSP 2023</a>.</p> <p>This dataset consists of</p> <ul> <li>Questionnaires of control and experimental groups <ul> <li> <p>Questionnaire-Control Group (German).pdf -> Original quetionnaire for control group (in German)</p> </li> <li> <p>Questionnaire-Control Group (translated)-v03.pdf -> Translated quetionnaire for control group (in English)</p> </li> <li> <p>Questionnaire-Experimental Group (German).pdf -> Original quetionnaire for experimental group (in German)</p> </li> <li> <p>Questionnaire-Experimental Group (translated)-v03.pdf -> Translated quetionnaire for experimental group (in English)</p> </li> </ul> </li> <li>Survey-Data-v25.ods -> Collected data through questionnaires</li> <li>Calculate-Mann-Whitney-U-Test-v07.ods -> Detailed calculation of Mann Whitney U Test</li> <li>The videos of the ten scenarios in this study are also available on OneDrive <a href="https://1drv.ms/f/s!AtqkJ5cB802BoABI7w_Bft9H8Psi?e=upToep">https://1drv.ms/f/s!AtqkJ5cB802BoABI7w_Bft9H8Psi?e=upToep</a> , where you can play them directly in browsers.</li> </ul>
The relationship between the present-day seasonal cycles of low clouds in the mid-latitudes and cloud-radiative feedback
<p>Supporting data for "The relationship between the present-day seasonal cycles of low clouds in the mid-latitudes and cloud-radiative feedback", by K. Furtado, Y. Tsushima and P. R. Field.</p>
Do plant-soil feedbacks promote coexistence in a sagebrush steppe?
<p>Recent studies have shown the potential for negative plant-soil feedbacks (PSFs) to promote stable coexistence but have not quantified the stabilizing effect relative to other coexistence mechanisms. We conducted a field experiment to test the role of PSFs in stabilizing coexistence among four dominant sagebrush steppe species that appear to coexist stably, based on previous work with observational data and models. We then integrated the effects of PSF treatments on focal species across germination, survival, and first-year growth. To contribute to stable coexistence, soil microbes should have host-specific effects that result in negative feedbacks. Over two replicated growing seasons, our experiments consistently showed that soil microbes have negative effects on plant growth, but these effects were rarely host-specific. The uncommon host-specific effects were mostly positive at the germination stage and negative for growth. Integrated effects of PSF across early life-stage vital rates showed that PSF-mediated self-limitation occasionally had large effects on projected plant biomass but occurred inconsistently between years. Our results suggest that while microbially-mediated PSF may not be a common mechanism of coexistence in this community, it may still affect the relative abundance of dominant plant species via changes in host fitness. Our work also serves as a blueprint for future investigations that aim to identify underlying processes and test alternative mechanisms to explain important patterns in community ecology.</p>
ScienceDex guides
Understand access before you commit
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.