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691 results for “vegetation data”
Data from: Genome dynamics of hybrid Saccharomyces cerevisiae during vegetative and meiotic divisions
Mutation and recombination are the major sources of genetic diversity in all organisms. In the baker's yeast, all mutation rate estimates are in homozygous background. We determined the extent of genetic change through mutation and loss of heterozygosity (LOH) in a heterozygous Saccharomyces cerevisiae genome during successive vegetative and meiotic divisions. We measured genome wide LOH and base mutation rates during vegetative and meiotic divisions in a hybrid (S288c/YJM789) S. cerevisiae strain. The S288c/YJM789 hybrid showed nearly complete reduction in heterozygosity within 31 generations of meioses and improved spore viability. LOH in the meiotic lines was driven primarily by the mating of spores within the tetrad. The S288c/YJM789 hybrid lines propagated vegetatively for the same duration as the meiotic lines, showed variable LOH (from 2-3% and up to 35%). Two of the vegetative lines with extensive LOH, showed frequent and large internal LOH tracts that suggest a high frequency of recombination repair. These results suggest significant LOH can occur in the S288c/YJM789 hybrid during vegetative propagation presumably due to return to growth events. The average base substitution rates for the vegetative lines (1.82 x 10-10 per base per division) and the meiotic lines (1.22 x 10-10 per base per division), are the first genome wide mutation rate estimates for a hybrid yeast. This study therefore provides a novel context for the analysis of mutation rates (especially in the context of detecting LOH during vegetative divisions), compared to previous mutation accumulation studies in yeast that used homozygous backgrounds.
Data from: Removal of an apex predator initiates a trophic cascade that extends from herbivores to vegetation and the soil nutrient pool
It is widely assumed that organisms at low trophic levels, particularly microbes and plants, are essential to basic services in ecosystems, such as nutrient cycling. In theory, apex predators' effects on ecosystems could extend to nutrient cycling and the soil nutrient pool by influencing the intensity and spatial organization of herbivory. Here, we take advantage of a long-term manipulation of dingo abundance across Australia's dingo-proof fence in the Strzelecki Desert to investigate the effects that removal of an apex predator has on herbivore abundance, vegetation and the soil nutrient pool. Results showed that kangaroos were more abundant where dingoes were rare, and effects of kangaroo exclusion on vegetation, and total carbon, total nitrogen and available phosphorus in the soil were marked where dingoes were rare, but negligible where dingoes were common. By showing that a trophic cascade resulting from an apex predator's lethal effects on herbivores extends to the soil nutrient pool, we demonstrate a hitherto unappreciated pathway via which predators can influence nutrient dynamics. A key implication of our study is the vast spatial scale across which apex predators' effects on herbivore populations operate and, in turn, effects on the soil nutrient pool and ecosystem productivity could become manifest.
Data from: Linkage of plant trait space to successional age and species richness in boreal forest understory vegetation
Determining the changes in within- and between-species functional diversity in plant communities, and their contribution to overall species trait overlap, can enhance efforts at understanding mechanisms of species coexistence. However, little is known about how variation in species functional diversity influences variation in species trait overlap among contrasting environments. Here, we studied the understorey vegetation in a well-characterized 5000-year-old chronosequence involving 30 forested islands that differ greatly in size, soil fertility, and species diversity. Across this chronosequence we expected consistent changes in both within- and between-species functional diversity that would lead to decreasing overall species trait overlap with increasing successional age, species richness, understorey vegetation density and spatial heterogeneity of soil resources. For each island we measured specific leaf area (SLA) of each of ten individuals of each plant species present. Using a variance decomposition method, we partitioned the total community functional diversity of SLA on each island into within- and between-species functional diversity. Further, we estimated overall species trait overlap as the ratio of within-species functional diversity to total functional diversity. Using regression analyses we then explored relationships of within- and between-species functional diversity, and of overall species trait overlap, with several environmental variables across the 30 islands. Consistent with our hypotheses, overall species trait overlap decreased with successional age due to a statistically significant decrease in within-species functional diversity, and decreased with species richness due to a simultaneous decrease in within-species functional diversity and increase in between-species functional diversity. Against our predictions, overall species trait overlap increased in more competitive environments and did not change with increasing spatial heterogeneity of soil N or P. Synthesis: Our study suggests niche packing as a key mechanism for species coexistence in plant communities. Using SLA as an integrator of plant ecological strategy we show that community successional age and species richness are significantly linked to trait space distribution of plant individuals of boreal forest understorey vegetation and therefore to local species coexistence. Our results also suggest that the trait space of dominant and subordinate species may respond differently to local environmental variables.
Data from: A theoretical foundation for multi-scale regular vegetation patterns
Self-organized regular vegetation patterns are widespread1 and thought to mediate ecosystem functions such as productivity and robustness, but the mechanisms underlying their origin and maintenance remain disputed. Particularly controversial are landscapes of overdispersed (evenly spaced) elements, such as North American Mima mounds, Brazilian murundus, South African heuweltjies, and, famously, Namibian fairy circles. Two competing hypotheses are currently debated. On the one hand, models of scale-dependent feedbacks, whereby plants facilitate neighbours while competing with distant individuals, can reproduce various regular patterns identified in satellite imagery. Owing to deep theoretical roots and apparent generality, scale-dependent feedbacks are widely viewed as a unifying and near-universal principle of regular-pattern formation, despite scant empirical evidence. On the other hand, many overdispersed vegetation patterns worldwide have been attributed to subterranean ecosystem engineers such as termites, ants, and rodents. Although potentially consistent with territorial competition, this interpretation has been challenged theoretically and empirically and (unlike scale-dependent feedbacks) lacks a unifying dynamical theory, fuelling scepticism about its plausibility and generality. Here we provide a general theoretical foundation for self-organization of social-insect colonies, validated using data from four continents, which demonstrates that intraspecific competition between territorial animals can generate the large-scale hexagonal regularity of these patterns. However, this mechanism is not mutually exclusive with scale-dependent feedbacks. Using Namib Desert fairy circles as a case study, we present field data showing that these landscapes exhibit multi-scale patterning—previously undocumented in this system—that cannot be explained by either mechanism in isolation. These multi-scale patterns and other emergent properties, such as enhanced resistance to and recovery from drought, instead arise from dynamic interactions in our theoretical framework, which couples both mechanisms. The potentially global extent of animal-induced regularity in vegetation—which can modulate other patterning processes in functionally important ways—emphasizes the need to integrate multiple mechanisms of ecological self-organization.
Data from: Both trait-neutrality and filtering effects are validated by the vegetation patterns detected in the functional recovery of sand grasslands
Neutral theory of species assembly means that species assembly is governed by stochastic dispersal processes and fluctuations in established populations. An alternative theory suggests that assembly is strongly determined by functional trait filtering governed by abiotic and biotic filtering selecting species from the local species pool. To test these assumptions, in the current paper we analysed vegetation changes in the first 12 years of succession after heavy goose grazing on acidic sand. With trait-based analyses using permanent plots we addressed the following hypotheses: (i) High fluctuations in the trait values are typical in the first years; later a temporally divergent change in the trait patterns of sites with different vertical position became characteristic. (ii) In the functional diversity of regenerative and vegetative traits we expected different temporal patterns. We confirmed the first hypothesis, as in the first few years most traits displayed high fluctuations with no clear patterns. Our findings weakly supported the second hypothesis; while there were distinct patterns detected in the functional richness of traits, functional divergence and evenness displayed no clear distinctive patterns. We can conclude that both trait neutrality and filtering effects operate in the vegetation changes of the first period of secondary succession.
Data from: Positive size-speed relationships in gametes and vegetative cells of Chlamydomonas reinhardtii; implications for the evolution of sperm.
It is commonly held that differences in gametes of the two sexes (anisogamy) evolved from ancestors whose gametes were similar in size and behaviour (isogamy). Underlying many hypotheses explaining anisogamy are assumed relationships between cell size and speed in the ancestral isogamous population. Using the isogamous alga Chlamydomonas reinhardtii, we explored size-speed distributions in vegetative and gamete cells of ten cell lines, and clonal data from within two cell lines. We applied an independent speed selection approach to gamete populations of C. reinhardtii, monitoring correlated responses in size following selection for high speed. We demonstrate positive size-speed relationships in clones, cell lines and artificially selected speed selection lines. We found different size-speed relationships in the two cell types of C. reinhardtii even though they overlap in size, suggesting that cell composition and/or programs of gene expression are capable of altering this relationship, and that the relationship is evolvable. The positive genetic size-speed correlation means that the division of parent vegetative cells into numerous gametes trades off against not only size but also speed, a trade-off that has not received previous attention. Our results support re-evaluating the role of speed selection in the evolution of anisogamy.
Data from: Precipitation mediates the effect of human disturbance on the Brazilian Caatinga vegetation
Seasonally dry tropical forests (SDTFs) are one of the most threatened forests worldwide. These species-rich forests not only cope with several acute (e.g. forest loss) and chronic (e.g. overgrazing and firewood extraction) human disturbances, but also with climate change (e.g. longer and more severe droughts); yet, the isolated and combined effects of climate and acute and chronic human disturbances on SDTF vegetation are poorly known. Given the environmental filter imposed by drought in SDTFs, the composition and structure of vegetation is expected to be strongly associated with annual precipitation, and thus the effects of human disturbances on vegetation may also depend on precipitation (i.e. interacting effect). We tested these hypotheses in the Brazilian Caatinga – a SDTF threatened by climate change and human disturbances. We evaluated the isolated and combined (both additive and multiplicative) effect of precipitation, a chronic disturbance index and acute disturbance (landscape forest cover) on the diversity, stem density, evenness, taxonomic composition and aboveground biomass of adult trees and shrubs across 19 0.1-ha plots distributed along a disturbance and precipitation gradients. We recorded 5541 stems from 129 species. Precipitation showed a stronger (positive) effect on species diversity than acute and chronic disturbances and, as expected, the effect of disturbance depended on precipitation (interacting effect): i.e. species diversity (especially the number of rare species) was negatively related to forest loss but positively related to chronic disturbance in wetter sites, whereas in drier sites, species diversity was weakly related to forest cover, but strongly and negatively related to chronic disturbance. Contrary to species diversity, community evenness, stem density and biomass were weakly related to all predictors. Synthesis. Precipitation appears to be a strong environmental filter determining the distribution of water-demanding plant species. Chronic disturbance in wetter (high-productive) forests may favour species diversity by increasing ecosystem heterogeneity (intermediate disturbance hypothesis). Yet, the biodiversity costs of chronic disturbance are higher in drier (low-productive) forests; i.e. there is a co-limitation imposed by drought and disturbance in drier forests. Overall, our findings indicate that rapid climatic changes in the region will probably have strong negative effects on this SDTF.
Data from: Resident species with larger size metrics do not recruit more offspring from the seed bank in old-field meadow vegetation
1. According to the traditional 'Size Advantage' (SA) hypothesis, plant species with larger body size are expected to be more successful when competition is intense, i.e. within severely crowded vegetation. Recent studies in old-field habitats, however, have shown that those species with greater numerical abundance as resident plants generally have a relatively small minimum reproductive threshold size (MIN), not a relatively large maximum potential body size (MAX). 2. In this study, we test for a size advantage in terms of species abundance representation in the soil seed bank, and we extend the SA hypothesis to include two additional size metrics: leaf size and seed size. Specifically, we ask, for resident species within a crowded old-field meadow: is larger seed size, leaf size, and/or body size associated with greater reproductive / recruitment success (i.e. number of germinable seeds within — and establishing plants emerging from — the soil seed bank)? We collected soil cores for a greenhouse experiment to record relative species abundances of germinable seeds in the seed bank, and we used a field experiment to record local abundances of species emerging from the resident seed bank within denuded plant neighbourhoods over three subsequent field seasons. 3. We found no general support for the SA hypothesis involving any of the size metrics, and none of the latter was a strong predictor of the number of germinable seeds emerging from soil cores in the greenhouse experiment. However, for species establishing in the field experiment from the seed bank over the three-year survey period, more abundant species in years 2 and 3 tended to be those with smaller MIN, and thus smaller MAX. In addition, within more crowded neighbourhoods, representation of reproductive plants was generally greater for species with relatively small MIN (and hence small MAX). 4. Synthesis. Our results extend support for the 'Reproductive Economy Advantage' hypothesis in old field habitats, to include not just established, largely undisturbed vegetation, but also very early stages of recruitment from seed within locally crowded plant neighbourhoods. Specifically, more successful species here are not those with relatively large potential body size (MAX); they are species capable of producing at least some offspring despite severe body size suppression, because they have a relatively small MIN.
Flume data on flow resistance of flexible foliated woody vegetation
<p>This dataset contains flume data on flow resistance of flexible foliated woody vegetation. The data have been previously reported and analyzed by Västilä et al. (2013), Västilä & Järvelä (2014), and Box et al. (2021), respectively.</p> <p>The data were used in developing and validating the modeling of flexible woody vegetation in D-FLOW FM module of the Delft3D Flexible Mesh (Delft3D FM) Suite, as reported in Västilä et al. (submitted). Two leaf-aread-index based flow resistance formulas (Järvelä 2004, Eq. 16, JAR; and Västilä & Järvelä 2014, Eq. 17, VAS) were implemented into D-FLOW FM by Västilä et al. (submitted). </p> <p>This contribution consists of three datasets, in all of which the plants were approximately homogeneously distributed across the entire flume bed: 1) artificial nature-like shrubs with 2 cm tall understory grasses under low relative submergence (h/hd=0.9-3.1) conditions (Box et al., 2021), 2) Black Poplars at three plant densities under just submerged conditions (Västilä et al., 2013), and 3) four natural deciduous riparian species at different leaf-area-to-stem-area ratios (AL/AS) under just submerged conditions (Västilä & Järvelä, 2014). </p> <p>The measured data are compiled in the file "Vastila_etal_2024_Flume data on flow resistance of flexible foliated woody vegetation.xlsx". Dataset 1 is located in sheet "Box_etal_2021_data.xlsx", while Datasets 2 and 3 are combined in sheet "Västilä&Järvelä_2013+2014_data". The corresponding metadata descriptions are included in separate sheets. The sheet "VAS+JAR_parameters" includes tables reporting the recommended parameter values of the JAR (Table 1) and VAS (Table 2) formulas as well as the parameter values of both formulas as derived at low and high levels of AL/AS (Table 3) to analyze the uncertainty of the formulas related to the parameter dependency on AL/AS (see Västilä et al. submitted). The datasets include a specific model ID code for each case in column entitled "Model ID".</p> <p>References<br>- Box, W., Järvelä, J. & Västilä, K. 2021. Flow resistance of floodplain vegetation mixtures for modelling river flows. Journal of Hydrology 601: 126593. https://doi.org/10.1016/j.jhydrol.2021.126593</p> <p>- Järvelä, J. 2004. Determination of flow resistance caused by non-submerged woody vegetation. International Journal of River Basin Management 2(1): 61–70. https://doi.org/10.1080/15715124.2004.9635222</p> <p>- Västilä, K., Järvelä, J., & Aberle, J. 2013. Characteristic reference areas for estimating flow resistance of natural foliated vegetation. Journal of Hydrology 492: 49-60. DOI: http://dx.doi.org/10.1016/j.jhydrol.2013.04.015</p> <p>- Västilä, K. & Järvelä, J. 2014. Modeling flow resistance of woody vegetation using physically-based parameters for foliage and stem. Water Resources Research 50(1): 229-245. DOI: 10.1002/2013WR013819</p> <p>- Västilä, K., Berends, K.D., Järvelä, J., Penning, E.W.E. (submitted) Development of flow resistance modeling using state-of-the-art formulas for flexible woody vegetation in Delft3D FM. </p>
Data from: Geographic Object-Based Image Analysis Framework for Mapping Vegetation Physiognomic Types at Fine Scales in Neotropical Savannas
<p>Spatially-explicit information featuring a wide range of detailed vegetation structural types are necessary to support conservation and ecological analyses. A systematic approach that accurately maps such detailed categories at regional scales is currently lacking for neotropical savannas. We developed a systematic Geographic Object-Based Image Analysis (GEOBIA) framework that accounts for spectral and spatial properties to map Cerrado vegetation structural types at 5-m resolution. This framework counts with a two-step mapping approach: (1) image segmentation and a Random Forest land cover classification based on spectral information (Level 1 classification), followed by (2) a GEOBIA knowledge-based classification that follows contextual and topological spatial rules developed in a systematic manner for mapping Cerrado ecological classes (Level 2 classification).</p><p>The framework was tested for two large study sites covering most major Cerrado physiognomic types: a control site in central Brazil (Taquara watershed site, located in Brasilia, Federal District, and embraces the IBGE Ecological Reserve) and another larger site that is located in an agricultural landscape in the western portion of Bahia State (encompasses parts of the municipalities of: Sao Desiderio, Luis Eduardo Magalhaes, Barreiras, and Riachao das Neves), which brings additional mapping challenges related to intra-class spectral similarity. </p><p>Results demonstrate that our GEOBIA approach is effective for mapping 13 land cover classes with 87.6% overall accuracy, of which all 11 major vegetation classes were identified. For additional details, please check the associated publication with these datasets (Ribeiro et al. 2020).</p><p>The datasets developed in this study are available in shapefile format with attributed metadata following ISO 19115 standards: </p><ul><li><strong>wba_lcmap_geobiaL2_2011lucmask:</strong> final land cover map (Level 2 -- physiognomic types) for a section of the western bahia region in the Cerrado. This product uses a land use mask of 2011 derived from ancillary data</li><li><strong>wba_lcmap_geobiaL2_2013lucmask:</strong> final land cover map (Level 2 -- physiognomic types) for a section of the western bahia region in the Cerrado. This product accounts for the land use mask of 2011 as well as an updated land use mask of 2013 derived from ancillary data</li><li><strong>ibge_taquara_luc_L1_L2_2013_original:</strong> land cover maps (Levels 1 and 2) developed for the Taquara/IBGE site</li><li><strong>ibge_taquara_detailed_luc_2013:</strong> final land cover map (Level 2 -- physiognomic types) developed for the Taquara/IBGE site with additional detailed land use categories</li></ul><p> </p><p><strong>Data</strong></p><p>Mapped land cover classes: 1) cerrado woodland, 2) savanna, 3) open savanna, 4) shrubby grassland, 5) grassland (only present in the Taquara site), 6) cerrado scrub (only present in the western bahia site), 7) marsh, 8) shrub swamp, 9) palm swamp, 10) riparian forest, 11) semi-deciduous forest, 12) seasonally dry tropical forest (only present in the western bahia site), 13) invasive forbes (only present in the Taquara site), 14) non-natural/barren, 15) water, 16) shade, 17) clouds</p><p>The land-use mask incorporated into our maps feature the following classes: main roads, farming/crops, silviculture, and urban areas. </p><p> </p><p><strong>Coordinate Reference System</strong></p><p>Datasets were projected to <strong>South America Albers Equal Area</strong> <strong>Conic</strong>, with all areal calculations based on this projection.</p><p> </p><p><strong>Data Usage</strong> </p><p>The datasets are publicly available and should be cited appropriately (main publication: Ribeiro et al. 2020).</p><p> </p><p><strong>Additional information</strong></p><p>For any other data requests or questions, please contact Fernanda Ribeiro (fernanda.ffr@gmail.com).</p>
Supplementary digital data for Exposure of Insects to Current Use Pesticide Residues in Soil and Vegetation along Spatial and Temporal Distribution in Agricultural Sites
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Data for: Arthropod communities on young vegetated roofs are more similar to each other than to communities at ground level
<p>This dataset comprises of arthropods collected with a D-vac vacuum sampling device from vegetated roofs and ground level habitats with low-growing open vegetation. Sampling was conducted during three consecutive years (2013, 2014 and 2015) at seven sampling sites distributed in the capital area of Finland. Each site included one vegetated roof and two closest ground level open habitats for the roof. Samples were collected twice in a growing season, in June and in August/September. Arthropods were identified using DNA metabarcoding technique. The mitochondrial <i>cytochrome c oxidase subunit I</i> gene (COI) was used as a marker in molecular identification in metabarcoding of arthropod samples and amplified with two non-overlapping complementary primer pairs (Leray and ANML). The dual tag indexed library were sequenced at the Helsinki Functional Genomics Unit (FuGU) in one Illumina MiSeq v3 300bp run.</p>
Data on global trends and drivers of submerged aquatic vegetation quantities in lakes
<p>This dataset describes trends and drivers of submerged aquatic vegetation quantities in lakes. The database was compiled through a literature synthesis and is the object of a published article. The sav_trend_dbstructure.png describes the database structure.</p> <p>The publication below detail the methodology used to assemble the dataset.</p> <p>Botrel, M. & R. Maranger. 2023. Global historical trends and drivers of submerged aquatic vegetation quantities in lakes. Global Change Biology. 29, 2493– 2509. <a href="https://doi.org/10.1111/gcb.16619">https://doi.org/10.1111/gcb.16619</a></p> <p> </p>
Data for JGR - Drought Differently Impacts Vegetation Activity According to the Bedrock Types and Sub-seasons
<p>For peer review purposes only</p>
Data from: Fuels and fires influence vegetation via above- and below-ground pathways in a high-diversity plant community
1. Fire strongly influences plant populations and communities around the world, making it an important agent of plant evolution. Fire influences vegetation through multiple pathways, both above- and belowground. Few studies have yet attempted to tie these pathways together in a mechanistic way through soil heating even though the importance of soil heating for plants in fire-prone ecosystems is increasingly recognized. 2. Here we combine an experimental approach with structural equation modelling (SEM) to simultaneously examine multiple pathways through which fire might influence herbaceous vegetation. In a high-diversity longleaf pine groundcover community in Louisiana, USA, we manipulated fine-fuel biomass and monitored the resulting fires with high-resolution thermocouples placed in vertical profile above- and belowground. 3. We predicted that vegetation response to burning would be inversely related to fuel load owing to relationships among fuels, fire temperature, duration and soil heating. 4. We found that fuel manipulations altered fire properties and vegetation responses, of which soil heating proved to be a highly accurate predictor. Fire duration acting through soil heating was important for vegetation response in our SEMs, whereas fire temperature was not. 5. Our results indicate that in this herbaceous plant community, fire duration is a good predictor of soil heating and therefore of vegetation response to fire. Soil heating may be the key determinant of vegetation response to fire in ecosystems wherein plants persist by resprouting or reseeding from soil-stored propagules. 6. Synthesis. Our SEMs demonstrate how the complex pathways through which fires influence plant community structure and dynamics can be examined simultaneously. Comparative studies of these pathways across different communities will provide important insights into the ecology, evolution and conservation of fire-prone ecosystems.
Data from: Changes in aspects of emergent and submerged vegetation cover, richness, and diversity in a fragmenting marsh system
<p><span><span><span><span><span><span><span><span><span><span><span>Habitat fragmentation is a global environmental challenge, and the marshes of southeastern Louisiana are a hotspot for habitat fragmentation. Evaluating marsh ecosystems during the transition from intact to fragmented is critical to predict future changes and inform effective conservation and restoration plans. We sampled three sites in Terrebonne Basin, Louisiana to characterize a fragmenting emergent-vegetation dominated system, investigate the relationship between plant species richness and diversity and marsh fragmentation, and determine the relationship between marsh fragmentation and cover of submerged aquatic vegetation (SAV). Emergent plant richness and diversity were higher in areas with low salinity and high surface elevation. Although these areas had relatively low fragmentation, there was no direct relationship between richness or diversity and measures of marsh fragmentation. Despite greater light availability in highly fragmented areas, SAV was restricted to areas with low fragmentation, suggesting light availability was not the factor limiting SAV colonization into open water areas. Results from this study highlight the complex interactions of geomorphological and biotic processes within a fragmenting marsh and suggest that physical drivers such as salinity and elevation are a better indicator of emergent plant community structure in this system than degree of fragmentation. </span></span></span></span></span></span></span></span></span></span></span></p>
Data from: Substrate composition impacts long-term vegetation development on blue-green roofs: Insights from an experimental roof and greenhouse study
<p>Data from: van der Kolk et al. (2022). Substrate composition impacts long-term vegetation development on blue-green roofs: Insights from an experimental roof and greenhouse study. Ecological Engineering.</p> <p> </p> <p>See the main article on how data was collected.</p> <p> </p> <p>The dataset contains three tables:</p> <p>greenhouse_biomass.csv: The biomass (in g dry weight) harvested from each container in the greenhouse experiment.</p> <p>greenhouse_percentage_share.csv: The estimated percentage that each species contributes to the total harvested biomass in the greenhouse experiment.</p> <p>roof_cover.csv: The cover (in %) of all species per plot for all surveys.</p>
Cowpea drought stress application at early vegetative stage 2022 - screen 02 - day 02 - raw image data
<p>Cowpea (<em>Vigna unguiculata</em>) miniCore accessions were screened for responses to drought stress at early vegetative stress. The cowpea seedlings were exposed to drought stress at 17 days after germination using the weight of the pot and AAWEsmo device, developed in Julkowska Lab, Boyce Thompson Institute. The seedlings were kept at 60 and 10% of soil water holding capacity for 2 weeks and the data on cowpea shoot size, evapotranspiration and photosystem II efficiency was collected. </p> <p>This dataset represents the images collected for Screen number 02 and day 02 after drought stress application. </p>
Vegetation and trait data of the Houtman Abrolhos Islands, Australia
<p class="MsoNormal"><span>Dispersal and environmental filtering processes determine plant species colonization success on islands and can be identified by functional traits. However, the lack of synthesis about the varying methodological approaches in functional ecology hampers generalisation of filtering processes across island systems. Here, we provide island-plant data for 70 islands of the Houtman Abrolhos archipelago, Western Australia as well list species from their source pool. This data can be used to test the predictions made in the accompanying publication as well as for any other study requiring island-level species richness, species pool and trait (leaf area, seed mass, plant height) data.</span></p>
Data from: Resident species with larger size metrics do not recruit more offspring from the seed bank in old-field meadow vegetation
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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