Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
29
datasets available to search
ShareScore release 0.7.1
Dataset results
29 results for “pollinator dependence”
Soybean dependence on biotic pollination decreases with latitude - Data and Computer code
<p>Release of Datasets and R scripts needed to reproduce the analyses and figures published in the article <em>'Soybean dependence on biotic pollination decreases with latitude'</em>, published in Agriculture, Ecosystems & Environment, Volume 347, 1 May 2023, 108376. <a href="https://doi.org/10.1016/j.agee.2023.108376">https://doi.org/10.1016/j.agee.2023.108376</a></p> <p><strong>Highlights</strong></p> <ul> <li>In the absence of pollinators, soybean yield decreases between 0 and ~50%.</li> <li>Variation in pollinator dependence (PD) was found to be structured latitudinally.</li> <li>PD decreases at high latitudes due to an apparently higher incidence of autogamy.</li> <li>Temperature and photoperiod could play an important role in determining PD.</li> <li>Changes in cleistogamy and androsterility might explain the reported trends.</li> </ul> <p><strong>Abstract</strong></p> <p>Identifying large-scale patterns of variation in pollinator dependence (PD) in crops is important from both basic and applied perspectives. Evidence from wild plants indicates that this variation can be structured latitudinally. Individuals from populations at high latitudes may be more selfed and less dependent on pollinators due to higher environmental instability and overall lower temperatures, environmental conditions that may affect pollinator availability. However, whether this pattern is similarly present in crops remains unknown. Soybean (Glycine max), one of the most important crops globally, is partially self-pollinated and autogamous, exhibiting large variation in the extent of PD (from a 0 to ~50% decrease in yield in the absence of animal pollination). We examined latitudinal variation in soybean's PD using data from 28 independent studies distributed along a wide latitudinal gradient (4-43 degrees). We estimated PD by comparing yields between open pollinated and pollinator-excluded plants. In the absence of pollinators, soybean yield was found to decrease by an average of ~30%. However, PD decreases abruptly at high latitudes, suggesting a relative increase in autogamous seed production. Pollinator supplementation does not seem to increase seed production at any latitude. We propose that latitudinal variation in PD in soybean may be driven by temperature and photoperiod affecting the expression of cleistogamy and androsterility. Therefore, an adaptive mating response to an unpredictable pollinator environment apparently common in wild plants can also be imprinted in highly domesticated and genetically-modified crops.</p> <p><strong>Content</strong></p> <p>The dataset consists of two files</p> <p>1 - <a href="https://github.com/NERC-CEH/Soybean-dependence-on-biotic-pollination-decreases-with-latitude/blob/main/%5Bdata%5D%20Cunha%20et%20al.%20MS_soybean.xlsx">[data] Cunha et al. MS_soybean.xlsx</a> is an excel file with two sheets, <strong>data</strong> and <strong>data_map</strong>. These sheets contain the data used in the models defined in the R script <a href="https://github.com/NERC-CEH/Soybean-dependence-on-biotic-pollination-decreases-with-latitude/blob/main/%5BR%20script%5D%20Cunha%20et%20al.%20MS_soybean.R">[R script] Cunha et al. MS_soybean.R</a>.</p> <ul> <li> <p>1.1 The <strong>data</strong> sheet contains the variables:</p> <ul> <li>Value = log_ratios</li> <li>Lat = latitude in decimal degrees</li> <li>Variable = yield component</li> <li>Treatment = treatment type for comparing pollinator dependence</li> <li>Reference_Data_owner = study ID where the data was obtained</li> <li>Site = site within the study where each field experiment was performed</li> </ul> </li> <li> <p>1.2 The <strong>data_map</strong> sheet contains information used for plotting the geographical distribution of the used studies:</p> <ul> <li>Reference_Data_owner = study ID where the data was obtained</li> <li>Country = country where the study was performed</li> <li>Province = province where the study was performed</li> <li>Locality/Farm = locality where the study was performed</li> <li>Lat = latitude in decimal degrees</li> <li>Long = longitude in decimal degrees</li> </ul> </li> </ul> <p>2 - <a href="https://github.com/NERC-CEH/Soybean-dependence-on-biotic-pollination-decreases-with-latitude/blob/main/%5Bdata%5D%20Cunha%20et%20al.%20MS_soybean%20%5Bdate_photoperiod%5D.csv">[data] Cunha et al. MS_soybean [date_photoperiod].csv</a> is a comma-separated file that contains the information used in the R script <a href="https://github.com/NERC-CEH/Soybean-dependence-on-biotic-pollination-decreases-with-latitude/blob/main/%5BR%20script%5D%20Cunha%20et%20al.%20AGEE%20-%20gee_temp_ts_extract.R">[R script] Cunha et al. AGEE - gee_temp_ts_extract.R</a> and produces Figure S2.</p> <ul> <li> <p>2.1 The dataset contains the following variables:</p> <ul> <li>study_ID = study ID number where the data was obtained</li> <li>study_ref = study ID where the data was obtained</li> <li>latitude = latitude in decimal degrees</li> <li>longitude = longitude in decimal degrees</li> <li>date1 = date of the sowing or flowering when the experiment was done</li> <li>date2 = a second date, when available, of the sowing or flowering when the experiment was done</li> <li>event = if the date was related to the sowing of seeds or flowering of soybean.</li> </ul> </li> </ul>
Data and scripts for the analysis of the influence of crop pollinator dependence and growth form on yield decline
<p>Marcelo A. Aizen, Gabriela R. Gleiser, Thomas Kitzberger, Ruben Milla. <strong>Being a tree crop increases the odds of experiencing yield declines irrespective of pollinator dependence </strong>(to be submitted to PCI)</p> <p> </p> <p>Data and R scripts to reproduce the analyses and the figures shown in the paper. All analyses were performed using R 4.0.2.</p> <p> </p> <p><strong>Data</strong></p> <p>1. FAOdata_21-12-2021.csv</p> <p>This file includes yearly data (1961-2020, column 8) on yield and cultivated area (columns 6 and 10) at the country, sub-regional, and regional levels (column 2) for each crop (column 4) drawn from the United Nations Food and Agriculture Organization database (data available at <a href="http://www.fao.org/faostat/en">http://www.fao.org/faostat/en</a>; accessed July 21-12-2021). [Used in Script 1 to generate the synthesis dataset]</p> <p>2. countries.csv</p> <p>This file provides information on the region (column 2) to which each country (column 1) belongs. [Used in Script 1 to generate the synthesis dataset]</p> <p>3. dependence.csv</p> <p>This file provides information on the pollinator dependence category (column 2) of each crop (column 1).</p> <p>4. traits.csv</p> <p>This file provides information on the traits of each crop other than pollinator dependence, including, besides the crop name (column1), the variables type of harvested organ (column 5) and growth form (column 6). [Used in Script 1 to generate the synthesis dataset]</p> <p>5. dataset.csv</p> <p>The synthesis dataset generated by Script 1.</p> <p>6. growth.csv</p> <p>The yield growth dataset generated by Script 1 and used as input by Scripts 2 and 3.</p> <p>7. phylonames.csv</p> <p>This file lists all the crops (column 1) and their equivalent tip names in the crop phylogeny (column 2). [Used in Script 2 for the phylogenetically-controlled analyses]</p> <p>8.phylo137.tre</p> <p>File containing the phylogenetic tree.</p> <p> </p> <p><strong>Scripts</strong></p> <p>1. dataset</p> <p>This R script curates and merges all the individual datasets mentioned above into a single dataset, estimating and adding to this single dataset the growth rate for each crop and country, and the (log) cumulative harvested area per crop and country over the period 1961-2020.</p> <p>2. analyses</p> <p>This R script includes all the analyses described in the article’s main text.</p> <p>3. figures</p> <p>This R script creates all the main and supplementary figures of this article.</p> <p>4. lme4_phylo_setup</p> <p>R function written by Li and Bolker (2019) to carry out phylogenetically-controlled generalized linear mixed-effects models as described in the main text of the article.</p> <p> </p> <p><strong>References</strong></p> <p>Li, M., and B. Bolker. 2019. wzmli/phyloglmm: First release of phylogenetic comparative analysis in lme4- verse. Zenodo. https://doi.org/10.5281/zenodo.2639887.</p>
Body-size dependent effects of landscape-level resource energetics on pollinator abundance in woodland remnants
<p><span>Land use change reduces floral resource availability, thereby driving declines in important pollinators. However, the severity of land use impact varies by species, influenced by factors such as dispersal ability and resource specialization, both of which can correlate with body size. Here we test whether floral resource availability in the surrounding landscape (the 'matrix') influences bee species' abundance in isolated remnant woodlands, and whether this effect varies with body size. We sampled quantitative flower-visitation networks within woodland remnants and quantified floral energy resources (calories) available to each bee species both within woodland and the matrix. Bee abundance in woodland increased with floral energy resources in the surrounding matrix, with strongest effects on larger-bodied species. Our findings suggest important but size-dependent effects of declining matrix floral resources on the persistence of bees in remnant woodlands, highlighting the need to incorporate landscape-level floral resources in conservation planning for pollinators in threatened natural habitats. </span></p>
Pollination dependency and deficit in three almond varieties from Morocco
<p>The contribution of insects to pollination constitutes a globally important ecosystem service. Due to the increasing demand for entomophilous crops, the nutritional and economic importance of insect-pollinated crops and the inability of managed pollinators (<em>Apis mellifera L</em>) to meet the high demand for their services indicate that agriculture heavily relies on wild pollinators. Almonds are an economically valuable crop in Morocco. Therefore, it is essential to understand the fundamental pollination requirements of major almond varieties to promote their production. The main objectives of this study were to assess the dependency of three almond cultivars (Espoir, Largueta and Planeta) on insect pollination, and then to evaluate the pollination deficit resulting from the lack of these pollinators. For this purpose, we used insect-proof net bags constructed around branches of almond trees to compare fruit set and yield with open and open + hand-pollinated flowers. The results of the fruit set experiment confirmed that all three varieties require insect pollination, as fruit set and yield were significantly higher in insect-pollinated than insect-isolated trees. All three almond varieties were categorized as obligatory dependent on biotic pollinators. In addition, two out of the three studied almond varieties showed high pollination deficit resulting from the lower abundance and/or diversity of pollinating insects. Results of the current study highlights the important role of insect pollinators for almond crops and the urgent need for the implementation of sustainable strategies to preserve pollinators within agricultural ecosystems.</p>
Data from: Scale-dependent effects of landscape structure on pollinator traits, species interactions and pollination success
<p>Data: Plant-pollinator interactions, pollinator body size (inter-tegular distance, ITD) and plant reproductive success (number of seeds produced).<br><br>Data collected by Christie J. Webber. <br><br>Data collected in 14 experimental flowering plant patches during December 2012–February 2013. Patches were located in a 105 hectare sheep farm pasture in Oxford, North Canterbury, New Zealand (43°19'21"S 172°12'25"E).</p> <p>Files:</p> <ul> <li>Data_S1: contains plant-pollinator interactions sampled and pollinator inter-tegular distance (ITD). Data_S1 columns: patch ID where the interaction was recorded, plant species, pollinator ITD (mm), and pollinator family, genus and species.</li> <li>Data_S2: contains the number of seeds produced by each of the five flowers of each plant individual from each plant species on each patch. Data_S2 columns: patch ID where the measurement was taken, plant species, plant number (individual sampled), number of seeds.</li> </ul> <p>Dataset used in "Scale-dependent effects of landscape structure on pollinator traits, species interactions and pollination success" by G. Peralta, C.J. Webber, G.L.W. Perry, D.B. Stouffer, D.P. Vázquez and J.M. Tylianakis.</p>
Data from: Beyond pollen:ovule ratios: Evolutionary consequences of pollinator dependence and pollination efficiency for pollen and ovule production in angiosperms
<p><strong>Premise</strong>: The relative per‐flower production of ovules and pollen varies broadly with angiosperm mating systems, with outcrossing types commonly producing more pollen grains per ovule than selfing types. The evolutionary causes of this variation are contentious, especially the relevance of pollination risk. Resolution of this debate may have been hampered by its focus on pollen:ovule (P:O) ratios rather than on the evolution of pollen and ovule numbers per se.</p> <p><strong>Methods</strong>: Using published mean ovule and pollen counts, we analyzed associations with the proportion of removed pollen that reaches stigmas (pollen‐transfer efficiency) and differences between pollinator‐dependent and autogamous forms within and among species. Analyses involved Bayesian methods that simultaneously considered variation in pollen and ovule numbers and accounted for phylogenetic relatedness. We also assessed the utility of P:O ratios as mating‐system proxies and their association with female outcrossing rates.</p> <p><strong>Results</strong>: Median pollen number declined consistently with pollen‐transfer efficiency among species, whereas median ovule number did not. Similarly, in both intraspecific and interspecific analyses, pollinator‐dependent plants produced more pollen than autogamous plants, whereas ovule production did not differ statistically. Distributions of P:O ratios overlapped extensively for self‐incompatible and self‐compatible species and for different mating‐system classes, and P:O ratios correlated weakly with outcrossing rate.</p> <p><strong>Conclusions</strong>: Our findings demonstrate that pollinator dependence and pollination efficiency commonly influence the evolution of pollen number per flower but have more limited effects on ovule number. P:O ratios provide ambiguous, possibly misleading, information about mating systems, especially when compared among clades.</p>
Flower strip effectiveness for pollinating insects in agricultural landscapes depends on established contrast in habitat quality: A meta-analysis
<p>Flower strips have become a prevalent measure in agricultural landscapes to counteract biodiversity loss and especially promote pollinators. Although their benefits for pollinating insects have been frequently evaluated and reported, generalized conclusions about optimal settings for effective flower strips are still difficult. From the perspective of pollinators, flower strips vary distinctly in habitat quality, and the same applies for the control sites selected for scientific studies.</p> <p>In this study, we used a meta-analytic approach based on a systematic review of recent studies (2009-2020) to analyze the relationship between flower strip effectiveness for pollinators and the contrast in habitat quality between flower strips and control sites. We extracted 350 data entries from 29 out of 172 studies based on available data for richness or abundance of the pollinator taxa groups Apiformes, Lepidoptera and Syrphidae as response variables, for both flower strips and control treatments. All flower strips and control treatments were assigned a habitat quality score including information on spatial dimension, floral resources and management. Moreover, we included information on landscape complexity as measured by percent cover of semi-natural habitats in the studied landscape.</p> <p>In general, our results of meta-analytical models showed an increasing effect size of flower strips on pollinators for higher contrasts in habitat quality between flower strips and control treatments. This relationship was consistent across pollinator taxa and different levels of landscape complexity. Altogether, in terms of pollinator habitat quality, high-quality flower strips were more attractive than low-quality flower strips, and the reported effectiveness of flower strips decreased from low-quality to high-quality control treatments.</p> <p>We recommend that results of future studies evaluating flower strips for pollinators are always linked with the contrast in habitat quality between selected flower strips and control treatments.</p>
Dataset: Plant-mediated effects of fire and fragmentation drive plant–pollinator interaction β-diversity in fire-dependent pine savannas
<p>Interaction β-diversity is a measure essential for understanding and conserving species interactions and ecosystem functioning. Interaction β-diversity explains the variation in species interactions across spatial and temporal gradients, resulting from species turnover or interaction rewiring. Each component of interaction β-diversity has different ecological implications and practical consequences. While interaction β-diversity due to species turnover is related to assembly processes and fragmentation, rewiring can support high biodiversity and confer resilience to ecological networks. However, it is unclear whether both components respond to the same or different ecological drivers. Here, we assessed the ecological drivers of plant–pollinator interaction β-diversity and its components across 24 sites in 9 longleaf pine (LLP) savannas in north and central Florida. We evaluated the effects of flowering plant composition and flower abundance, vegetation, fire regime, soil moisture, terrain characteristics, climate, spatial context and geographic location. We used path analysis to evaluate the drivers of spatial interaction β-diversity and its main components. We then used generalized linear mixed models to assess the temporal patterns of spatial β-diversity among sites within preserves. We found that plant–pollinator networks in LLP savannas are highly variable across space and time, mainly due to species turnover and possibly in response to abiotic gradients and dispersal boundaries. Flower abundance and flowering plant composition, geographic location, fire seasonality, soil moisture, and landscape context were the main drivers of plant–pollinator β-diversity, highlighting the role of fire management and habitat connectivity in preserving plant–pollinator networks.</p>
Flower strip effectiveness for pollinating insects in agricultural landscapes depends on established contrast in habitat quality: A meta-analysis
Open the record for dataset details and reuse information.
Body-size-dependent effects of landscape-level resource energetics on pollinator abundance in woodland remnants
Open the record for dataset details and reuse information.
Dataset: Plant-mediated effects of fire and fragmentation drive plant–pollinator interaction β-diversity in fire-dependent pine savannas
Open the record for dataset details and reuse information.
Data from: Scale-dependent effects of landscape structure on pollinator traits, species interactions and pollination success
Open the record for dataset details and reuse information.
Pollination dependency and deficit in three almond varieties from Morocco
Open the record for dataset details and reuse information.
Data from: Temporal scale-dependence of plant-pollinator networks
Open the record for dataset details and reuse information.
Data from: Beyond pollen:ovule ratios: Evolutionary consequences of pollinator dependence and pollination efficiency for pollen and ovule production in angiosperms
Open the record for dataset details and reuse information.
Agri-environment schemes enhance pollinator richness and abundance but bumblebee reproduction depends on field size
<p>Insect-pollinated plant<strong> </strong>and pollinator data supporting the results reported in the article Geppert et al. (2020).</p>
Data from: Pollinator dependence but no pollen limitation for eight plants occurring north of the Arctic Circle
<p>Intact interactions between plants and pollinators are essential for the reproduction of pollinator-dependent plant species. Global change factors, such as climate change, have the potential to disrupt these interactions and subsequently impair pollination service. This disruption can result in insufficient pollen receipt for plants and lower their reproduction success. High latitude sites experience particularly rapid climate change and plants at these locations are expected to be vulnerable to lower reproductive success due to pollen limitation. Pollen supplementation experiments, which assess the degree to which plant reproduction is pollen limited, have been conducted across the globe but are rare in high latitude regions. To fill this knowledge gap, we experimentally investigated the pollinator dependence and magnitude of pollen limitation in eight plant species north the Arctic Circle in Lapland, Finland. Our findings show that all plant species were pollinator dependent, but not pollen limited. We discuss several mechanisms that might buffer our focal plants from pollen limitation. Our results demonstrate that many plant species north of the Arctic Circle are currently receiving adequate pollinator service and provide a baseline for future comparisons of pollinator dependence and pollen limitation in the Arctic across species and time.</p>
Data from: Scale-dependent responses of pollination and seed dispersal mutualisms in a habitat transformation scenario
Transformed habitats are the result of deliberate replacement of native species by an exotic monoculture, involving changes in biotic and abiotic conditions. Despite this, transformed habitats are becoming more common and constitute a major biodiversity change driver, little is known about the scale-dependent responses of plant-animal mutualisms. Aiming to test the multi-scale responses of pollination and seed dispersal in a habitat transformation scenario, we examined a gradient of native and transformed habitats at three spatial scales (0-50, 50-100, and 100-250 m), focused on a highly-specialized mutualistic system composed of a hemiparasitic mistletoe (Tristerix corymbosus) that is almost exclusively pollinated by a hummingbird (Sephanoides sephaniodes) and dispersed by an arboreal marsupial (Dromiciops gliroides). Even though mistletoes were found along the gradient, they were more abundant and more densely aggregated when the transformed habitat was dominant. Disperser and pollinator activity also increased as the transformed habitat become dominant, at the scale of 0-50 m and 50-100 m, respectively. Furthermore, crop size and disperser activity co-varied at broad and intermediate scales, whereas recruitment co-varied at intermediate and fine scales. Moreover, disperser activity and the number of seedlings were spatially associated, stressing D. gliroides' role in the recruitment of the mistletoe. Synthesis: This highly specialized mutualistic system seems to be responding positively to the habitat structure modifications associated with Eucalyptus plantations. However, the actual costs (e.g., reduced gene flow, increased herbivory) in these transformed habitats are yet to be assessed.
Data from: Density-dependent dispersal strategy of pollinator moderates the adverse effect of habitat loss on plant reproduction
<p><span>1. </span><span>Major challenges for plant conservation are predicting the effect of habitat loss on pollination success and plant reproduction </span><span>potential</span><span>. Most studies report that pollinator movement is affected by quantitative and spatial characteristics of landscapes. However, little is known about the role of pollinator movement, impacted by floral volatiles and intraspecies interaction, on plant reproduction in fragmented landscapes.</span></p> <p><span>2. </span><span>To clarify the effect of pollinator movement on plant reproduction </span><span>relative to </span><span>habitat loss, we developed an integrated model incorporating pollinator's foraging response with its </span><span>dispersal</span> <span>process mediated by a density-dependent dispersal (DDD) strategy</span><span>.</span> <span>This model</span> <span>performed better in capturing behaviorals response of pollinators than do current methods. The integrated model was verified with field results of pollinator visitation and plant reproduction of saltcedar (<em>Tamarix</em> <em>chinensis</em>) inhabiting the Yellow River Delta, and then was compared against a dispersal strategy called density-independent dispersal (DID). The model was applied to landscapes with various non-habitat percentage (<em>NHP</em>) to explore the effect of habitat loss on plant reproduction.</span></p> <p><span>3. </span><span>Results suggested that saltcedar populations differ in their responses to habitat loss, which depended on the spatial scales considered. At landscape scale, increasing <em>NHP</em> significantly inhibited the dispersion extent of floral volatiles and therefore reduced pollinator visitation and subsequent seed production, especially when <em>NHP</em> exceeded the critical threshold of 0.6.</span> <span>However, at patch scale, comparing with DID strategy, the DDD strategy enabled pollinators to increase their utilization of flowers by 43.42% and 6.79% in low-density and distant plant patches, whereas their utilization was reduced by 7.75% and 2.24% in high-density and central patches, respectively. </span><span>Plant reproduction was improved correspondingly</span> <span>in low-density and distant patches under different <em>NHP</em>s.</span></p> <p><span>4. </span><span>Consequently, habitat loss inhibits the volatiles dispersion and interferes with the foraging success of pollinators, a major factor influencing plant reproduction at landscape scale. At patch scale, adaptive utilization of pollinators exhibiting DDD strategy alleviates the negative effect of habitat loss on plant production and maintains plant population persistence. Since pollinator behavioral response is critical to plant reproduction, we recommend the use of the here-presented integrated model to assess the impact of habitat loss on plant reproduction.</span></p>
Data from: Scale-dependent responses of pollination and seed dispersal mutualisms in a habitat transformation scenario
Open the record for dataset details and reuse information.
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.