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.
553
datasets available to search
ShareScore release 0.9.0
Dataset results
553 results for “soil communities”
Data from: Tracking earthworm communities from soil DNA
Earthworms are known for their important role within the functioning of an ecosystem, and their diversity can be used as an indicator of ecosystem health. To date, earthworm diversity has been investigated through conventional extraction methods such as handsorting, soil washing or the application of a mustard solution. Such techniques are time-consuming and often difficult to apply. We showed that combining DNA metabarcoding and next generation sequencing facilitates the identification of earthworm species from soil samples. The first step of our experiments was to create a reference database of mitochondrial DNA (mtDNA) 16S gene for 14 earthworm species found in the French Alps. Using this database, we designed two new primer pairs targeting very short and informative DNA sequences (about 30 bp and 70 bp) that allow unambiguous species identification. Finally, we analyzed extracellular DNA taken from soil samples in two localities (two plots per locality, eight samples per plot). The two short metabarcode regions led to the identification of a total of eight earthworm species. The earthworm communities identified by the DNA-based approach appeared to be well-differentiated between the two localities, and are consistent with results derived from inventories collected using the handsorting method. The possibility of assessing earthworm communities from hundreds or even thousands of localities through the use of extracellular soil DNA will undoubtedly stimulate further ecological research on these organisms. Using the same DNA extracts, our study also illustrates the potential of environmental DNA as a tool to assess the diversity of other soil-dwelling animal taxa.
Data from: A survey of invasive plants on grassland soil microbial communities and ecosystem services
<p>Invasive plants can cause changes in structure and function of the ecosystem undergoing invasion. Any changes in ecosystem diversity and community composition will likely alter ecosystem services provided by that ecosystem. However, how these ecosystem services may change is poorly understood. To elucidate how these ecosystem services will change with invasion, we sampled 561 plots undergoing invasion by smooth brome (<i>Bromus inermis</i>) and four other invasive species at a native Rough Fescue prairie located near Saskatoon, Saskatchewan, Canada. Soil and plant surveys were undertaken weekly for 26 weeks beginning in May in 2014 until November 2014, or the growing season. We measured a suite of ecosystem services, including greenhouse gasses, extracellular enzyme function, forage production, glyphosate degradation and decomposition. Furthermore, soil physical and chemical properties were measured, and soil bacterial and fungal communities were sequenced. This is a large and multifaceted dataset with complex temporal and spatial attributes that can be used to answer numerous questions regarding the functioning of prairie ecosystems and how invasive species will impact that functioning. </p>
Data from: Soil biota and chemical interactions promote co-existence in co-evolved grassland communities
1. Plant populations can exhibit local adaptation to their abiotic environment, such as climate and soil properties, as well as biotic components such as the chemical signatures of dominant plant species and mutualistic and pathogenic microbial populations. While patterns of local adaptation in individual species are widely recorded, the importance of microevolutionary processes for plant community assembly and function is poorly understood. 2. Here we examined how a history of long-term co-existence, and thus potential for local co-adaptation, influenced the process of plant community assembly. Soil inocula and seeds of eight plant species were collected from three calcareous grasslands with a long history of grazing within a single geographical region. Mesocosm communities were established using local genotypes from a single site or an artificial mixture of genotypes from two different sites. To investigate the role of root exudates and local ("home") and non-local ("away") soil biota as mediators of plant species co-existence, the population origin treatment was combined with the addition of activated carbon, which is known to adsorb exudates from soil, and sterilisation of soil inocula. Individual-, species- and mesocosm-level responses were measured over the course of three growing seasons. 3. We found that root exudates promoted seedling survival, species co-existence and productivity in assemblages of genotypes originating from the same community but had a weak impact in mixed, novel communities. Soil biota promoted the growth of subordinate forbs and restrained the growth of dominant graminoids, particularly in communities composed of local genotypes. The effects of population origin were significant in the first two years of the experiment but were not detectable in the third year when interbreeding and new seedling establishment took place. Plant genotypes coupled with "home" microbial inoculum experienced a stronger reduction in growth compared with genotypes exposed to "away" inoculum, indicating that plants experienced home-field disadvantage in interactions with soil biota. 4. Synthesis. Our study demonstrates that the mechanisms of initial grassland community assembly depend on community history, with belowground chemical interactions and plant interactions with soil biota becoming stronger drivers of dynamics in established and potentially co-evolved communities.
Data from: Aphids influence soil fungal communities in conventional agricultural systems
Arbuscular mycorrhizal fungi (AMF) form symbioses with the roots of most plant species, including cereals. AMF can increase the uptake of nutrients including nitrogen (N) and phosphorus (P), and of silicon (Si) as well as increase host resistance to various stresses. Plants can simultaneously interact with above-ground insect herbivores such as aphids, which can alter the proportion of plant roots colonized by AMF. However, it is unknown if aphids impact the structure of AMF communities colonizing plants or the extent of the extraradical mycelium produced in the soil, both of which can influence the defensive and nutritional benefit a plant derives from the symbiosis. This study investigated the effect of aphids on the plant-AMF interaction in a conventionally managed agricultural system. As plants also interact with other soil fungi, the non-AMF fungal community was also investigated. We hypothesized that aphids would depress plant growth, and reduce intraradical AMF colonization, soil fungal hyphal density and the diversity of AM and non-AM fungal communities. To test the effects of aphids, field plots of barley enclosed with insect proof cages were inoculated with Sitobion avenae or remained uninoculated. AMF specific and total fungal amplicon sequencing assessed root fungal communities 46 days after aphid addition. Aphids did not impact above-ground plant biomass, but did increase the grain N:P ratio. Whilst aphid presence had no impact on AMF intraradical colonization, soil fungal hyphal length density, or AMF community characteristics, there was a trend for the aphid treatment to increase vesicle numbers and the relative abundance of the AMF family Gigasporaceae. Contrary to expectations, the aphid treatment also increased the evenness of the total fungal community. This suggests that aphids can influence soil communities in conventional arable systems, a result that could have implications for multitrophic feedback loops between crop pests and soil organisms across the above-below-ground interface.
Data from: Soil microclimate changes affect soil fungal communities in a Mediterranean pine forest
• Soil microclimate is a potentially important regulator of the composition of plant-associated fungal communities in climates with significant drought periods. Here, we investigated spatio-temporal dynamics of soil fungal communities in a Mediterranean Pinus pinaster forest in relation to soil moisture and temperature. • Fungal communities in 336 soil samples collected monthly during a year from 28 long-term experimental plots were assessed by PacBio sequencing of ITS2 amplicons. Total fungal biomass was estimated by analysing ergosterol. Community changes were analysed in the context of functional traits. • Soil fungal biomass was lowest during summer and late winter and highest during autumn, concurrent with a greater relative abundance of mycorrhizal species. Intra-annual spatio-temporal changes in community composition correlated significantly with soil moisture and temperature. Mycorrhizal fungi were less affected by summer drought than free-living fungi. In particular, mycorrhizal species of the short-distance exploration type increased in relative abundance under dry conditions, whereas species of the long-distance exploration type were more abundant under wetter conditions. • Our observations demonstrate a potential for compositional and functional shifts in fungal communities in response to changing climatic conditions. Free-living fungi and mycorrhizal species with extensive mycelia may be negatively affected by increasing drought periods in Mediterranean forest ecosystems.
Data from: Patterns of earthworm, enchytraeid and nematode diversity and community structure in urban soils of different ages
Annelids (Lumbricidae and Enchytraeidae) and nematodes are common soil organisms and play important roles in organic matter decomposition, nutrient cycling and creation of soil structure and porosity. However, these three groups have rarely been studied together and only few studies exist for urban soils. We studied the diversity and community composition of annelids and nematodes in soils spanning more than two centuries of urban soil development in Neuchâtel (Switzerland) and assessed the relationships 1) among these three groups and 2) between each group and environmental (physical, chemical and functional) characteristics of soils and soil age. While the groups of environmental variables were correlated (Mantel tests) no correlation was found between pairs of soil fauna groups and between each soil fauna group and environmental variables. More specifically, redundancy analyses showed that earthworm assemblages were best correlated with soil bulk density and with soil depth, the latter being positively correlated with soil age. Enchytraeid assemblages and the proportion of enchytraeid r-strategists were respectively best correlated with soil carbonate content and negatively correlated with soil age. Nematodes assemblages were best correlated with soil water content. Moreover, relationships between pairs of soil biota groups, and between each group and environmental (physical, chemical and functional) variables, varied along the soil age gradient (moving window analysis). This study provides new knowledge on urban soil biodiversity and how environmental conditions can influence soil diversity and community patterns in the urban context. The contrasted community patterns of earthworms, enchytraeids and nematodes in urban soils of different ages and their different ecological roles suggest that they represent potential complementary indicators of soil quality and functioning such as soil formation and organic matter dynamics.
Effects of tree species identity on soil microbial communities in Juglans nigra and Quercus rubra plantations.
<p>Black walnut (<i>Juglans nigra </i>L.) forestry within the Central Hardwoods Region (CHR) has progressed primarily based on studies of trial and error among plantations. Although <i>J. nigra</i> wood has been used for everything from gunstocks in the Revolutionary War to the artfully crafted furniture of today, gaps exist in our knowledge base regarding the impact of this hardwood species on the soil. We aim to evaluate and analyze how <i>J. nigra</i> modified soil bacterial and fungal structure in conjunction with soil properties after 10 years of establishment. Additionally, we used another hardwood tree Northern red oak (<i>Quercus rubra </i>L.) for contrast. Our results showed soil microbial structure is influenced primarily by plant species; then by season, and lastly depth. The alpha-diversity index was increased in <i>J. nigra</i> compared to bulk soil values, whereas <i>Q. rubra</i> decreased the index. The most significant disparities in microbiomes were observed between plant species with <i>J. nigra</i> displaying greater enrichment in <i>Nitrospira</i>, <i>Geobacter</i>, <i>Steroidobacter</i>, <i>Bacillus</i>, and <i>Perlucidibaca</i> while<i> Q. rubra </i>more enriched in <i>Acidobacteria</i> (<i>GP1</i>, <i>GP2</i>, and <i>GP3</i>) and ectomycorrhizal fungi (<i>Tuber</i>, <i>Inocybe</i>, <i>Amanita</i>, and <i>Russula</i>). Finally, the co-occurrence networks showed that <i>J. nigra</i> increased node numbers while <i>Q. rubra</i> increased connection (edge) numbers. Additionally, the<i> Q. rubra </i>network displayed the highest mean degree, density, and clustering coefficient while <i>J. nigra</i> exhibited the highest modularity and average connectivity. In conclusion, our findings highlight the intricate interplay between CHR tree species and soil microbiota.</p>
Isotopic analysis: How our community analyzes soil and plant water samples for their isotopic composition
<p>As part of a project to develop a common methodological framework for water sampling, extraction, and isotopic analysis to study vegetation water use, we conducted an informal survey of current practices. A simple questionnaire via Google form was sent out to all members of the WATer isotopeS in the critical zONE (WATSON) European Cooperation in Science and Technology (COST) Action (#19120, 2020-2024) between July and September 2021. In this repository, we've included a brief write-up of this survey and the survey data. </p>
Data from: Interactive effects of soil moisture, air temperature and litter nutrient diversity on soil microbial communities and Folsomia candida population
<p>Soil organisms play a key role in carbon and nutrient cycling in forest ecosystems. While soil organisms are strongly influenced by litter chemistry and are highly sensitive to abiotic conditions, little is known about how the interactive effects of these two factors. To address this gap in knowledge, we conducted a 10-week microcosm experiment in which we simulated the effects of climate change on soil ecology. More specifically, we studied relationships among litter nutrient concentration, microbial biomass, Collembola demographic parameters, and litter decomposition, exploring the potential impacts of increasing air temperature and decreasing soil moisture. To develop a gradient of nutrient concentrations, we created six tree litter mixtures with materials gathered from <em>Quercus pubescens</em> and its companion species. In contrast to microbes, we observed that Collembola abundance and litter decomposition were interactively affected by soil moisture and air temperature: the negative effect of increasing air temperature on Collembola abundance was amplified by reduced soil moisture, whereas the positive effect of increasing air temperature on litter decomposition disappeared under reduced soil moisture conditions. In contrast to fungi, the response of bacterial biomass and Collembola abundance to litter nutrient concentration was dependent on abiotic conditions. More specifically, the relationships between nutrients, especially calcium and magnesium, and bacterial biomass and Collembola abundance were less robust or disappeared under drier or warmer conditions. In conclusion, our findings underscore that ongoing climate change could affect soil organisms directly as well as indirectly, by altering their responses to litter nutrient concentrations. In addition, we found that nutrient-rich habitats might be more affected than nutrient-poor habitats by altered climatic conditions.</p>
Dataset of the assessment of the sensitivity of soil communities under climate change
<p>Dataset of the assessment of the sensitivity of soil communities under climate change. Includes measures of microbial biomass and enzymatic activities </p>
Large-scale homogenization of soil bacterial communities in response to agricultural practices in paddy fields, China
<div>This dataset contains data from 257 sites in four typical rice-growing regions across a 4,000-km transect in China, including geographic location data and environment factors data.</div> <div> <br> The study was conducted across a 4,000-km transect of China's rice-growing areas, from Heilong Jiang province to Yunnan province (100°55′ E to 134°08′° E, 22°46′ N to 48°02′ N, Table S1). Four typical rice-growing regions were selected along this transect: Sanjiang Plain (modern mechanical farming), Taihu Plain (mechanical plus minor manual farming), Lianghu Plain (manual plus minor mechanical farming), and Hani Terrace (traditional manual farming).</div> <div> <br> Field sampling was conducted during July and August in 2014 and 2015. Soil samples were collected from 178 flooded paddy fields and 79 surrounding non-paddy areas across four typical rice-growing regions of China. At each site, one homogenized sample was obtained, which was then separated into two parts. One part, which was obtained for DNA extraction, was placed into a sterile plastic tube then immediately placed in liquid nitrogen for short-term transportation. After shipping to the laboratory, these tubes were stored at −80 °C. The second part of the soil sample was placed into a plastic bag and stored at 4.0 °C for determining the soil physicochemical properties.</div> <div> <br> Main results of the experiments are that: (1) Distance–decay patterns of bacterial communities in paddy fields revealed reduced β-diversity compared to surrounding natural habitats. (2) Modern rice farming practices (plowing with machines) caused stronger homogenization of soil bacterial communities than traditional farming (plowing by hand). Among the four paddy regions, plowing by hand retained the highest soil bacterial β-diversity. (3) Moreover, a significant inverse correlation was observed between bacterial β-diversity and the agricultural mechanization level. (4) Among multiple environmental factors, dramatic spatial homogenization of soil physicochemical properties, particularly soil nutrient contents, and reduced dispersal limitation caused by modern farming activities both strongly predict a reduction of bacterial β-diversity in modern paddy fields.</div>
Dataset of the paper: A first-year melon/cowpea intercropping system improves soil nutrients and changes the soil microbial community
<p>Dataset and raw data</p>
Root traits, root diameter distribution and soil parameters at the community level along a mediterranean successional gradient
<p>The data correspond to average root traits at the community level, and parameters describing the root diameter distribution at the community level. Soil parameters are also indicated. All measurements were conducted along a successional gradient on roadsides in the Mediterranean region (Montpellier, France, 43°6′N, 3°8′E). These data were used in the article entitled "Dissecting fine root diameter distribution at the community level captures root morpological diversity" from Erktan, A., Roumet, C., Munoz, F (in press) in Oikos (2022).</p>
A worldwide assessment of soil macroinvertebrate communities
<p>Soil macroinvertebrate communities have been assessed worldwide using the standard ISO/TSBF sampling procedure. The Macrofauna database currently comprises 3694 sites distributed throughout 41 countries, from 55º S latitude to 57ºN, sea level to over 4000m in elevation, in total annual total rainfall regimes between 500 and >3000mm and 5 to 32ºC mean temperature. These communities are significantly influenced by climatic parameters, soil texture and vegetation cover. Abundance and diversity were highest in tropical rain forests (1895 ± 305 individuals m<sup>-2</sup>) and natural savannahs (1796 ± 269), and progressively lower in tropical cropping systems (tree associated crops 1358 ± 101, pastures or transitory crops: 1178 ± 147), temperate grasslands: 583 ± 70, temperate forests: 529 ± 71, annual crops: 232 ± 14 and dry forest: 221 ± 52 systems.</p>
Data from: No evidence of foliar disease impact on crop root functional strategies and soil microbial communities: What does this mean for organic coffee?
<p><span>Global climate change is increasing pest and pathogen pressures on plant communities, deteriorating optimal plant functioning. In plant communities, root functional trait expression and microbial communities are important indicators of plant functioning belowground, and, when confronted with pathogens aboveground, can simultaneously reflect plant defence strategies. Yet, while research is continuing to emerge on the response of root functional traits and microbial processes to pathogens aboveground, little work has investigated these interactions in tree-crops, or the role organic amendments play in moderating these relationships. The main objective of this study is to disentangle the dynamic effects of pathogens and amendments on root functional traits (i.e., specific root length and area, root diameter, root length density, root nitrogen, and root carbon to nitrogen ratio) and root endophytic fungal communities. As a model, we use <em>Coffea arabica </em>(coffee) variety Caturra along a gradient of Coffee Leaf Rust – a foliar disease prominent in coffee systems – under contrasting but widespread amendment regimes in biodiverse agroforestry systems. We found that root trait expression varies along established conservation and collaboration gradients, where fungal endophyte community composition varies significantly as a function of root traits. Belowground resource acquisition strategies do not change with foliar disease incidence, suggesting they may be decoupled. Rather, amendment regimes </span>differentially shape root trait expression and microbial communities<span>, where coffee plants under organic amendments, regardless of foliar disease incidence, expressed greater acquisitive traits and enhanced collaboration with symbiotic fungi. </span>This is an important first step in disentangling the dynamic inter-relationships between plant traits, endophytes, and pathogens, generating new questions on the role of amendments in sustainable pathogen management in biodiverse agroecosystems.</p> <p> </p>
Direct and legacy-mediated drought effects on plant performance are species-specific and depend on soil community composition
Droughts affect plant communities, but their impacts may be mediated by soil biota. Soil communities may ameliorate drought stress, and droughts may leave legacies of altered soil communities that may affect future plant growth. However, it is not yet understood which groups of soil biota in particular affect plant performance under drought, nor which groups contribute to drought-legacy effects on future plant growth. We hypothesized that increasing soil-community complexity ameliorates drought stress and that drought-legacy effects are species-specific and soil-community-dependent. To test these hypotheses, we performed a two-phase experiment with six grassland species. In the first phase, we examined plant performance under drought and ambient conditions, in soils inoculated with a sterilized inoculum, or increasingly complex soil communities created by wet-sieving through 20-, 40-, and 200-µm mesh sieves. In the second phase, we examined drought-legacy effects on conspecific plant performance. We separately analysed plant performance in both phases, and integrated data from both phases using structural equation models. Drought effects on first-phase root biomass depended on soil inoculum, and this interaction differed among plant species, while effects on shoot biomass differed among species, but did not depend on inoculum. Only one species experienced drought-stress-ameliorating effects of soil biota. Drought-legacy effects on plant performance were positive, but depended on soil inoculum in case of root biomass, and on soil inoculum and species identity in case of shoot biomass. Drought-legacy effects were often mediated by first-phase biomass. In some species this effect was independent of inoculum, suggesting an abiotic legacy effect. In others, low first-phase biomass corresponded with high second-phase performance in presence of the most complex soil community. We conclude that drought-legacy effects on plant performance were soil-community-dependent but positive, suggesting that plants establishing after drought may benefit from increased nutrient availability and more positive impacts of soil biota.
Archive data supporting the results in the paper: Long-term soil warming alters fine root dynamics and morphology, and their ectomycorrhizal fungal community in a temperate forest soil"
<p><span>Climate warming is predicted to affect temperate forests severely, but the response of fine roots, key to plant nutrition, water uptake, soil carbon and nutrient cycling is unclear. Understanding how fine roots will respond to increasing temperature is a prerequisite for predicting the functioning of forests in a warmer climate. We studied the response of fine roots and their ectomycorrhizal (EcM) fungal and root-associated bacterial communities to soil warming by 4 °C in a mixed spruce-beech forest in the Austrian Limestone Alps after 8 and 14 years of soil warming, respectively. Fine root biomass (FRB) and fine root production were 17% and 128% higher in the warmed plots, respectively, after 14 years. The increase in FRB (13%) was not significant after 8 years of treatment, whereas specific root length, specific root area, and root tip density were significantly higher in warmed plots at both sampling occasions. Soil warming did not affect EcM exploration types and diversity, but changed their community composition, with an increase in the relative abundance of <em>Cenoccocum</em> at 0 – 10 cm soil depth, a drought-stress tolerant genus, and an increase in short and long-distance exploration types like <em>Sebacina </em>and <em>Boletus </em>at 10 – 20 cm soil depth. Warming increased the root-associated bacterial diversity but did not affect their community composition. Soil warming did not affect nutrient concentrations of fine roots, though we found indications of limited soil phosphorus (P) and potassium (K) availability. </span><span>Our findings suggest that, in the studied ecosystem, global warming could persistently increase soil carbon inputs due to accelerated fine root growth and turnover, and could simultaneously alter fine root morphology and EcM fungal community composition towards improved nutrient foraging. </span></p>
Data from: Plant diversity improves resistance of plant biomass and soil microbial communities to drought
<p>1. Biodiversity is known to affect ecosystem resistance and have implications for the maintenance of ecosystem functions and services under climate change. Compared to numbers of studies focusing on aboveground vegetation, the response of belowground communities to abiotic stresses along plant diversity gradients is often ignored and is considered an important knowledge gap in ecosystem ecology. Here we conducted an integrative research to evaluate the resistance of plant biomass, and soil microbial communities and associated functional profiles to drought under varying plant diversity.</p> <p>2. We carried out a three-year manipulation experiment by factorially controlling plant diversity gradient (1, 2, 4, and 8 species richness) and soil moisture treatment (drought and non-drought), and investigated the responses of plant biomass, soil bacterial and fungal diversity and community composition, soil glomalin, and five key soil enzymes.</p> <p>3. We found that plant diversity significantly improved the resistance of soil fungal communities and microbial functional profiles characterized by soil glomalin and five key enzymes, which was partly driven by the availability and accessibility of soil resources (e.g., soil moisture and organic matter) mediated by plant diversity. Further, our results indicated that the enhanced resistance of fungal communities was consistent with ecological insurance theory that diverse fungal communities at high plant diversity had a higher probability of containing taxa that adapt to drought.</p> <p>4. <em>Synthesis</em>. Our study provides novel empirical insights into the mechanism underlying the regulatory effect of plant diversity on resistance of aboveground vegetation and belowground biota to drought, with implications for understanding ecosystem response to climate change and improving biodiversity conservation practices.</p>
Data from: Community assembly and metaphylogeography of soil biodiversity: insights from haplotype-level community DNA metabarcoding within an oceanic island
<p>Most of our understanding of island diversity comes from the study of aboveground systems, while the patterns and processes of diversification and community assembly for belowground biotas remain poorly understood. Here we take advantage of a relatively young and dynamic oceanic island to advance our understanding of eco-evolutionary processes driving community assembly within soil mesofauna. Using whole organism community DNA (wocDNA) metabarcoding and the recently developed metaMATE pipeline, we have generated spatially explicit and reliable haplotype-level DNA sequence data for soil mesofauna assemblages sampled across the four main habitats within the island of Tenerife. Community ecological and metaphylogeographic analyses have been performed at multiple levels of genetic similarity, from haplotypes to species and supraspecific groupings. Broadly consistent patterns of local-scale species richness across different insular habitats have been found, whereas local insular richness is lower than in continental settings. Our results reveal an important role for niche conservatism as a driver of insular community assembly of soil mesofauna, with only limited evidence for habitat shifts promoting diversification. Furthermore, support is found for a fundamental role of habitat in the assembly of soil mesofauna, where habitat specialism is mainly due to colonisation and the establishment of preadapted species. Hierarchical patterns of distance decay at the community level and metaphylogeographical analyses support a pattern of geographic structuring over limited spatial scales, from the level of haplotypes through to species and lineages, as expected for taxa with strong dispersal limitations. Our results demonstrate the potential for wocDNA metabarcoding to advance our understanding of biodiversity.</p>
Water availability rather than temperature control soil fauna community structure and prey-predator interactions
<p>The ongoing climate change may strongly impact soil biodiversity with cascading effects on the processes they drive. Thus, it is of prime interest to improve our knowledge about responses by soil organisms such as collembolans to expected shifts in environmental conditions by considering communities comprising both detritivores and predators.</p> <p>The aim of the present study was to evaluate how simulated climate change and predation under laboratory conditions alter a collembolan community.</p> <p>To infer the impact of climate change, we applied a decreased level of soil moisture (60% <em>vs.</em> 30% soil water holding capacity) and an increasing air temperature (15 °C <em>vs. </em>25 °C) to a collembolan community constituted by four species (<em>Folsomia candida</em>, <em>Protaphorura fimata</em>, <em>Proisotoma minuta</em> and <em>Mesaphorura macrochaeta</em>) exhibiting distinct functional traits, e.g. body size and furca presence, in presence or absence of a predatory gamasid Acari (<em>Stratiolaelaps scimitus</em>) during two months in a microcosm experiment.</p> <p>We observed that decreasing soil moisture altered the collembolan community with species-specific responses. Interaction between soil moisture, temperature and predation indicates that low soil moisture reduced total collembolan abundance especially i) by suppressing the positive effect of increasing temperature and ii) by increasing the predatory control on collembolan abundance.</p> <p>These results highlight that soil moisture is the major driver of Collembola community and by consequence, a shift in climatic parameters with the ongoing climate change should strongly modify the Collembola community structure and the predator-prey interaction. Our findings are highly important since a strengthening of predation impact on Collembola prey could have major consequences on the whole soil food web being able to lead to a slowdown of key ecosystem processes they drive (e.g., litter decomposition and nutrient recycling). Finally, our study promotes the need to study more complex systems considering distinct soil-dwelling species, their functional traits and their trophic interactions to better predict the ecosystem responses to the ongoing climate change.</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.