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99 results for “Chronosequence”
Data from: Carbon use efficiency of mycorrhizal fungal mycelium increases during the growing season but decreases with forest age across a Pinus sylvestris chronosequence
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Data from: Time for recovery of riparian plants in restored northern Swedish streams: a chronosequence study
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Data from: Trait convergence in photosynthetic nutrient-use efficiency along a 2-million year dune chronosequence in a global biodiversity hotspot
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Root biochemistry:Microbial composition and function across an old-field chronosequence
As mediators of biogeochemical cycles, understanding the ecological forces structuring soil microbial communities is of ecosystem-level significance. Due to gradual shifts in plant species composition and litter addition through time, succession can be used as a model to understand how plant communities shape microbial community composition and function in soil. Numerous studies have investigated microbial biomass and diversity along successional gradients, yet few have quantified changes in microbial communities. Using the established successional dynamics experiment at Cedar Creek, principal investigators Lauren C. Cline and Donald R. Zak investigated the influence of plant community composition in structuring microbial community composition and function. Specifically, their research addressed the following questions: 1. Do shifts in saprotrophic microbial communities correlate to changes in plant community composition through successional time? 2. What is the relative influence of soil properties and plant community characteristics in determining microbial community dynamics? Cline and Zak sampled soils from 8 established abandoned agricultural fields (e054), as well as three adjacent forests representing potential late-successional ecosystems, to investigate microbial dynamics using three complementary approaches: targeted sequencing of fungal and bacterial communities, quantitative PCR, and shotgun metagenomics. Further, the characterization of soil properties across the chronosequence will enable us to disentangle the impact of abiotic factors in structuring microbial communities.
Soil organic matter, total nitrogen and pH:Microbial composition and function across an old-field chronosequence
As mediators of biogeochemical cycles, understanding the ecological forces structuring soil microbial communities is of ecosystem-level significance. Due to gradual shifts in plant species composition and litter addition through time, succession can be used as a model to understand how plant communities shape microbial community composition and function in soil. Numerous studies have investigated microbial biomass and diversity along successional gradients, yet few have quantified changes in microbial communities. Using the established successional dynamics experiment at Cedar Creek, principal investigators Lauren C. Cline and Donald R. Zak investigated the influence of plant community composition in structuring microbial community composition and function. Specifically, their research addressed the following questions: 1. Do shifts in saprotrophic microbial communities correlate to changes in plant community composition through successional time? 2. What is the relative influence of soil properties and plant community characteristics in determining microbial community dynamics? Cline and Zak sampled soils from 8 established abandoned agricultural fields (e054), as well as three adjacent forests representing potential late-successional ecosystems, to investigate microbial dynamics using three complementary approaches: targeted sequencing of fungal and bacterial communities, quantitative PCR, and shotgun metagenomics. Further, the characterization of soil properties across the chronosequence will enable us to disentangle the impact of abiotic factors in structuring microbial communities.
Creekbank physico-chemical data from Hog Island salt marsh chronosequence at the Virginia Coast Reserve 1995-1996
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Hog Island Chronosequence Soil Eh, pH and Temperature 1991-1992
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Dataset of vegetation surveys and soil and plant tissue analyses carried out on Lauson proglacial foreland chronosequence
<p>This dataset includes vegetation surveys (Vascular cover, Cryptogam cover, Species number, Shannon index, Grassland species number and cover, Pioneer species number and cover) and soil (P, N, C, CN, Cmicr, Nmicr, Pols) and plant tissue (P, N, C, NP) analyses carried out on a chronosequence over the proglacial foreland of Lauson glacier (Aosta Valley, NW Alps, Italy)</p>
Data from: Above-ground and below-ground responses to long-term nutrient addition across a retrogressive chronosequence
1. There is much interest in understanding ecosystem responses to local-scale soil fertility variation, which has often been studied using retrogressive chronosequences that span thousands of years and show declining fertility and plant productivity over time. There have been few attempts to experimentally test how plant nutrient limitation changes during retrogression. 2. We studied a well-characterized system of 30 forested lake islands in northern Sweden that collectively represent a 5350-year post-fire retrogressive chronosequence, with fertility and productivity decreasing as time since fire increases. For each island we set up four plots on understorey vegetation, each subjected to a different fertilizer treatment over six years: no additions, nitrogen (N) only, phosphorus (P) only, and N + P. 3. We found that both N and P additions reduced feather moss and thus total plant biomass. Meanwhile the three dominant vascular plant species showed contrasting biomass responses, but similar responses of foliar nutrient concentrations to nutrient additions. Fertilization reduced most microbial groups and altered CO2 fluxes, most likely through feather moss reduction. Against expectations, the majority of interactive effects of N and P were antagonistic. 4. Changes in effects of nutrient additions during retrogression were usually modest. Empetrum hermaphroditum biomass was increasingly promoted by P and N + P addition while vascular plant N to P ratios were increasingly reduced by P addition, indicating increasing plant limitation by nutrients (notably P) during retrogression. Below-ground, positive effects of N addition on soil mineral N increased while negative effects of N addition on soil fungi decreased during retrogression; no other below-ground effects of fertilization changed along the gradient. 5. Synthesis. Our results show that forest understorey communities on islands of different fire history and thus stages of retrogression show relatively modest differences in how they respond to nutrient addition despite large changes in ecosystem productivity and soil fertility, probably because of high species turnover and adaptation of communities to infertile conditions. While increased nutrient availability (as expected through global change) may have important ecological consequences, these effects are likely, especially below-ground, to be rather similar across ecosystems that differ greatly in nutrient availability and productivity.
Dataset of the microbial communities in chronosequences samples from the MINOTAUR Project
<p>The MINOTAUR chronosequences microbiological dataset includes five sheets detailing soil biodiversity dynamics across Europe. It features metadata, DNA extraction metrics, bacterial ASV abundances from 16S NGS sequencing, and taxonomic affiliations, alongside contact and funding details.</p>
Data from: Changes in ectomycorrhizal fungal community composition and declining diversity along a 2-million-year soil chronosequence
Ectomycorrhizal (ECM) fungal communities covary with host plant communities along soil fertility gradients, yet it is unclear whether this reflects changes in host composition, fungal edaphic specialization or priority effects during fungal community establishment. We grew two co-occurring ECM plant species (to control for host identity) in soils collected along a 2-million-year chronosequence representing a strong soil fertility gradient and used soil manipulations to disentangle the effects of edaphic properties from those due to fungal inoculum. Ectomycorrhizal fungal community composition changed and richness declined with increasing soil age; these changes were linked to pedogenesis-driven shifts in edaphic properties, particularly pH and resin-exchangeable and organic phosphorus. However, when differences in inoculum potential or soil abiotic properties among soil ages were removed while host identity was held constant, differences in ECM fungal communities and richness among chronosequence stages disappeared. Our results show that ECM fungal communities strongly vary during long-term ecosystem development, even within the same hosts. However, these changes could not be attributed to short-term fungal edaphic specialization or differences in fungal inoculum (i.e. density and composition) alone. Rather, they must reflect longer-term ecosystem-level feedback between soil, vegetation and ECM fungi during pedogenesis.
Synergy between early soil formation and organic matter build-up: a study case in a 20-year Technosol chronosequence
<p>Supporting dataset for paper.</p> <p> </p>
Data from: Evolution of plant defences along an invasion chronosequence: defence is lost due to enemy release- but not forever
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Data from: Above-ground and below-ground responses to long-term nutrient addition across a retrogressive chronosequence
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Data from: Changes in ectomycorrhizal fungal community composition and declining diversity along a 2-million-year soil chronosequence
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LBA-ECO ND-10 Soil Properties of Pasture Chronosequences, Para, Brazil: 1997
This data set provides the results of soil physical property and chemical measurements of samples collected from two pasture chronosequences (years since conversion from primary forest) located on two ranches south of Santarem, Para, Brazil, and east of the Tapajos River. Soil data includes soil classification, bulk density, texture, and mean concentrations of total nitrogen (N), carbon (C), phosphorus (P), and P fractions. The soils were high clay oxisols and highly sandy entisols.One chronosequence of sites was established on oxisol soils dating 2, 7, and 15 years since conversion from primary forest. A second set of sites, 1, 7, and 15 years old was established on the sandy entisols. Five of the six pasture sites were on a single ranch; the 2-year-old oxisol pasture was the exception. Ten soil samples per site were collected from 0-10 cm depth along random intervals within 100-m transects in August 1997.There are two comma-delimited (.csv) data files with this data set.
LBA-ECO ND-30 Nutrient Analysis and Gas Fluxes, Forest Chronosequences, Para, Brazil
This data set provides fine litterfall mass and nutrient concentrations from samples collected at chronosequences established at Sao Francisco do Para and Capitao Poco, Para, Brazil. Nitrogen (N) and phosphorus (P) concentrations were determined for litterfall samples from the Sao Francisco do Para, and N, P, potassium (K), calcium (Ca), and magnesium (Mg) concentrations are reported for samples from the Capitao Poco. In addition, carbon (C), N, delta C13, and delta N15 values were determined for leaves from the dominant species of the forests at Sao Francisco do Para; soil physical and chemical characteristics were determined for a subset of the chronosequence plots at the two study sites; and soil trace gas fluxes were determined from the Sao Francisco do Para site. All samples were collected between March 2001-February 2005. Trace gas fluxes were measured 10 times between October 2000 and June 2002 with 5 sample periods in dry season and 5 in wet season months. There are five comma-delimited data files with this data set.
Data from: Succession of arbuscular mycorrhizal fungi along a 52-year agricultural recultivation chronosequence
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Plant species and water chemistry data for "Inference of future bog succession trajectory from spatial chronosequence of changing aapa mires"
<p>These files consist of whole plant species and water chemistry data examined in our paper "Inference of future bog succession trajectory from spatial chronosequence of changing aapa mires" (Ecology and Evolution). Species data sets for phytosociological relevés and nested subplots (size of 0.25 m<sup>2</sup>) consist of abundances of all vascular plant, bryophyte, and lichen species in the studied fen, transition, and bog zones of boreal aapa mires. Subplot data includes groupings of species into aerenchymatous and non-aerenchymatous species, and into shallow- and deep-rooted aerenchymatous species. Water chemistry data consist of pH and concentrations of dissolved organic carbon (DOC), Ca, Mg, Fe, Al, Si, and Mn, as well as water-table depth (WTD) for each sampling point.</p>
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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.