Find research datasets worth reusing

publicSep 2025View details →

Final eddy covariance dataset to support lessons from long-term monitoring of carbon gains and losses in cropping systems

Open the record for dataset details and reuse information.

publicNov 2021View details →

Deepened snow cover mitigates soil carbon loss from intensive land use in a semi-arid temperate grassland

Open the record for dataset details and reuse information.

publicJul 2025View details →

Reduce revenue vs. increase expenditure: Fires and plant invasion drive soil carbon loss with different mechanisms in a Mediterranean shrubland

Open the record for dataset details and reuse information.

publicAug 2023View details →

Geospatial data from: Identifying opportunity hot spots for reducing the risk of wildfire-caused carbon loss in western US conifer forests

Open the record for dataset details and reuse information.

publicDec 2025View details →

Data from: Microplastic biodegradability does not modify plant carbon input in soil but accelerate soil carbon loss in agroecosystems

Open the record for dataset details and reuse information.

publicAug 2025View details →

Data from: Wildfire-induced losses of soil particulate and mineral-associated organic carbon persist for over four years in a chaparral ecosystem

Open the record for dataset details and reuse information.

opencc-zeroDec 2016View details →

Data from: Effects of small-scale, shading-induced seagrass loss on blue carbon storage: Implications for management of degraded seagrass ecosystems

1. Seagrass meadows are important global 'blue carbon' sinks. Despite a 30% loss of seagrasses globally during the last century, there is limited empirical research investigating the effects of disturbance and loss of seagrass on blue carbon stocks. 2. In this study, we hypothesised that seagrass loss would reduce blue carbon stocks. Using shading cloth, we simulated small-scale die-offs of two subtropical seagrass species, Halodule wrightii and Thalassia testudinum, in a dynamic northern Gulf of Mexico lagoon. The change in quantity and quality of sediment organic matter and organic carbon were compared among kill, control and bare plots before the kill treatment, shortly after the kill treatment and 11 months after the kill treatment. 210 Pb age dating was performed on bare and Thalassia plots at 11 months to evaluate the impact of sediment erosion in the absence of vegetation. 3. The small-scale die-off led to a 50-65% organic matter (OM) loss in the sediment in the top 8 cm of Halodule plots. Thalassia plots lost significant portions OM (50%) and organic carbon (C; 21-47%) in only the top 1 cm of sediment. The 210 Pb profiles indicated Thalassia die-off reduced the C sequestration rate by 10%, in addition to a loss of ~1 years' worth of C stocks (~22 g m-2<). Furthermore, analyses on O Morg quality indicated a loss of labile OM/C and enhanced remineralisation by microbes. 4. Synthesis and applications: This study provides empirical evidence that small-scale shading-induced seagrass die-offs can reduce seagrass carbon sequestration capacity and trigger losses of blue carbon stocks. While the losses recorded here are modest, these losses in blue carbon storage capacity are notable due to the proximity of shading structures (for example, boat docks) to seagrass habitats. Thus, policies to avoid or protect seagrass habitats from common small-scale, shading disturbances are important for optimising both carbon sequestration capacity and coastline development and management.17-Nov-2017

opencc-zeroDec 2017View details →

Data from: A decline in molluscan carbonate production driven by the loss of vegetated habitats encoded in the Holocene sedimentary record of the Gulf of Trieste

Carbonate sediments in non-vegetated habitats on the NE Adriatic shelf are dominated by shells of molluscs. However, the rate of carbonate molluscan production prior to the 20th century eutrophication and overfishing on this and other shelves remains unknown because (1) monitoring of ecosystems prior to the 20th century was scarce and (2) ecosystem history inferred from cores is masked by condensation and mixing. Here, based on geochronological dating of four bivalve species, carbonate production during the Holocene is assessed in the Gulf of Trieste, where algal and seagrass habitats underwent a major decline during the 20th century. Assemblages of sand-dwelling Gouldia minima and opportunistic Corbula gibba are time-averaged to > 1,000 years and C. gibba shells are older by >2,000 years than shells of co-occurring G. minima. This age difference is driven by temporally disjunct production of two species coupled with decimeter-scale mixing. Stratigraphic unmixing shows that Corbula gibba declined in abundance during the highstand phase and increased again in the 20th century. In contrast, one of the major contributors to carbonate sands, Gouldia minima, increased in abundance during the highstand phase, but declined to almost zero abundance over the past two centuries. G. minima and herbivorous gastropods associated with macroalgae or seagrasses are abundant in the top-core increments but are rare alive. Although G. minima is not limited to vegetated habitats, it is abundant in such habitats elsewhere in the Mediterranean Sea. This live-dead mismatch reflects the difference between highstand baseline communities (with soft-bottom vegetated zones and hard-bottom Arca beds) and present-day oligophotic communities with organic-loving species. Therefore, the decline in light penetration and the loss of vegetated habitats with high molluscan production traces back to the 19th century. More than 50% of the shells on the seafloor in the Gulf of Trieste reflect inactive production that was sourced by heterozoan carbonate factory in algal or seagrass habitats.

opencc-zeroDec 2016View details →

Data from: Intensive forest harvesting increases susceptibility of northern forest soils to carbon, nitrogen and phosphorus loss

1. Understanding the impact of forest harvesting is critical to sustainable forest management, yet there remains much uncertainty regarding how harvesting affects soil carbon (C), nitrogen (N) and phosphorus (P) dynamics. 2. Here we conducted a global meta-analysis of 808 observations from 49 studies to test the effects of harvesting on the stocks and concentrations of soil C, N, and P and C:N:P ratios relative to uncut control stands. 3. With all harvesting intensities combined, C stock was unaffected by harvesting in either the forest floor or mineral soil, while harvesting reduced forest floor [C], [N], and [P] and C:N ratio, increased the mineral soil [C] and C:N ratio, but reduced mineral soil N stock,. The impacts of harvesting on forest floor C and N stocks, C:P and N:P and mineral soil [C] and [N] changed from no effects by partial, stem-only and whole-tree harvesting to significantly negative effects by the harvesting coupled with fire. Stem-only and whole-tree harvesting similarly reduced forest floor [P]. The negative effects of harvesting were most pronounced in conifer stands. Soil [C], [N] and C:N decreased with time since harvesting, but soil [P] did not, resulting in an increase in forest floor N:P. 4. Synthesis and applications. Our findings highlight the importance of harvest intensity and rotation length on long-term soil nutrient availability when managing forests. Furthermore, the lag in [P] recovery following harvesting may indicate a decoupling of the P cycle from that of C and N and a potential concern in managed forests.

opencc-by-4.0Oct 2024View details →

Abrupt loss of soil organic carbon following disturbance in seagrass ecosystems

<h1>Code for running the bifurcation diagrams and the sensitivity analysis of seagrass-soil model</h1>   Contact: antoine.levilain18@gmail.com   This repository contains the code used to conduct the figures of: Abrupt loss of soil organic carbon following disturbance in seagrass ecosystems. Each figure from the related study has its own folder, which includes the necessary scripts to rerun simulations, the output of those simulations, and the code to plot the results. By navigating to any figure’s folder, you can reproduce the simulations and visualise the results. The repository is organised to facilitate reproducibility and further exploration of the ecosystem model and its behavior under various scenarios. We performed our analysis using R version 3.6.3. Do not forget to add your working directory if you want to save the figures.   <h2>Sensitivity analysis (Figure 5, Figure S11, Figure S15 & Figure S16)</h2> The “sensitivity” folder contains subfolders with the scripts required to run the global sensitivity analysis using the Sobol method for each scenario/case, along with the resulting outputs. In this analysis, higher numbers in folder names indicate a more deteriorated meadow, meaning it’s closer to the point of collapse. The analysis was conducted across different scenarios for different cases: “f” denotes the feedback case, while “no_f” represents the no feedback case. To recreate the figures, you can plot the pie charts for each scenario/case by running the sensitivity_plot.R script after setting the working directory to the appropriate subfolder.

opencc-by-4.0Jul 2023View details →

Drought may exacerbate dryland soil inorganic carbon loss under warming climate conditions

Data of the Q10 value and soil properties for the study entitled "Drought may exacerbate dryland soil inorganic carbon loss under warming climate conditions".

opencc-zeroNov 2021View details →

Climatic controls on soil carbon accumulation and loss in a dryland ecosystem

Arid and semiarid ecosystems drive year-to-year variability in the strength of the terrestrial carbon (C) sink, yet there is uncertainty about how soil C gains and losses contribute to this variation. To address this knowledge gap, we embedded C-depleted soil mesocosms, containing litter or biocrust C inputs, within an in situ dryland ecosystem warming experiment. Over the course of one year, changes in microbial biomass and total soil organic C pools were monitored alongside hourly measurements of soil CO2 flux. We also developed a biogeochemical model to explore the mechanisms that gave rise to observed soil C dynamics. Field data and model simulations demonstrated that water exerted much stronger control on soil biogeochemistry than temperature, with precipitation events triggering large CO2 pulses and transport of litter- and biocrust-derived C into the soil profile. We expected leaching of organic matter would result in steady accumulation of C within the mineral soil over time. Instead, the size of the total organic C pool fluctuated throughout the year, largely in response to microbial growth: increases in the size of microbial biomass were negatively correlated with the quantity of C residing in the top 2 cm, where most biogeochemical changes were observed. Our data and models suggest that microbial responses to precipitation events trigger rapid metabolism of dissolved organic C inputs, which strongly limit accumulation of autotroph-derived C belowground. Accordingly, changes in the magnitude and/or frequency of precipitation events in this dryland ecosystem could have profound impacts on the strength of the soil C sink.

opencc-by-4.0May 2022View details →

Dataset for 'Massive warming-induced carbon loss from subalpine grassland soils in an altitudinal transplantation experiment' Volk et al. 2022

These files contain the essential data used to produce the above paper

opencc-by-4.0Jul 2022View details →

Carbon loss pathways in degraded peatlands: Repository dataset

The data on the following sheets is associated with the paper:   Evans, M.G., Alderson, D.M., Evans, C.D., Stimson, A., Goulsbra, C., Allott,T.E.H., Worrall, F., Crouch, T., Walker, J., Garnett, M.H., Rowson, J. (2022). Carbon Loss Pathways in Degraded Peatlands: New Insights from Radiocarbon Measurements of Peatland Waters.    The data are organised according to the figures within the paper, with the data for each figure corresponding to an individual datasheet. The methods for data collection can be found in the associated manuscript.   For further information please contact Martin Evans (martin.g.evans@manchester.ac.uk) or Danielle Alderson (danielle.alderson@manchester.ac.uk).   Figures 1, 7 and 11 either do not contain data or are visual model outputs and are therefore not included.

opencc-by-4.0Sep 2024View details →

Dataset underying the publication titled: Warming-induced contrasts in snow depth drive the future trajectory of soil carbon loss across the Arctic-Boreal region

LPJ-GUESS model outputs underlying the figures published in the article "Warming-induced contrasts in snow depth drive the future trajectory of soil carbon loss across the Arctic-Boreal region".

opencc-by-4.0May 2025View details →

Data for "Unexpected suppressive fungal diversity and stimulative soil carbon loss under soil acidification in an alkaline grassland"

This dataset was used to make tables and figures for the study entitled "Unexpected suppressive fungal diversity and stimulative soil carbon loss under soil acidification in an alkaline grassland", which was submitted to Functional Ecology in May 2024. It contains data of soil properties, plant and microbial communities under soil acidification in an alkaline grassland on the Loess Plateau.

opencc-zeroDec 2016View details →

Data from: The microbially-mediated soil organic carbon loss under degenerative succession in an alpine meadow

Land-cover change has long been recognized as having marked effect on the amount of soil organic carbon (SOC). However, the microbially-mediated processes and mechanisms on SOC are still unclear. In this study, the soil samples in a degenerative succession from alpine meadow to alpine steppe meadow in the Qinghai-Tibetan Plateau were analyzed using high-throughput technologies, including Illumina sequencing and GeoChip functional gene arrays. The soil microbial community structure and diversity were significantly (P < 0.05) different between alpine meadow and alpine steppe meadow, the microbial ɑ-diversity in alpine steppe meadow was significantly (P < 0.01) higher than in alpine meadow. Molecular ecological network analysis indicated that the microbial community structure in alpine steppe meadow was more complex and tighter than in the alpine meadow. The relative abundance of soil microbial labile carbon degradation genes (e.g., pectin and hemicellulose) was significantly higher in alpine steppe meadow than in alpine meadow, but the relative abundance of soil recalcitrant carbon degradation genes (e.g. chitin and lignin) showed the opposite tendency. The Biolog Ecoplate experiment showed that microbially-mediated soil carbon utilization was more active in alpine steppe meadow than in alpine meadow. Consequently, more soil labile carbon might be decomposed in alpine steppe meadow than in alpine meadow. Therefore, the degenerative succession of alpine meadow because of climate change or anthropogenic activities would most likely decreased SOC and nutrients medicated by changing soil microbial community structure and their functional potentials for carbon decomposition.

opencc-by-4.0Dec 2022View details →

Data and Code for "Comparing the Impacts of Ozone-Depleting Substances and Carbon Dioxide on Arctic Sea Ice Loss"

This upload contains data and code related to the submitted manuscript "Comparing the Impacts of Ozone-Depleting Substances and Carbon Dioxide on Arctic Sea Ice Loss" by Bushuk, Polvani, and England. See README.txt for a description of the datasets and code.

opencc-by-4.0Aug 2023View details →

Nine years of warming and nitrogen addition in the Tibetan grassland promoted loss of soil organic carbon but did not alter the bulk change of chemical structure

Understanding the changes in soil organic carbon (SOC) storage and chemical stabilization dynamics is important for accurately predicting ecosystem C sequestration and/or potential C loss, but the relevant information, especially for the intervention of environmental controls on grassland soil is limited in Tibetan plateau regions. Here we used a 9-year two-way factorial experiment involving warming with open top chambers (+1.80 °C in the daytime and +0.77 °C in the nighttime at the soil surface) and multilevel nitrogen (N) enrichment treatments (0, 5, 10, and 15 g m-2 year-1) in the Tibetan plateau to investigate the changes in SOC pool size and chemical structure. 9-year warming treatment significantly decreased SOC stock in the Tibetan grassland. We observed decreasing SOC concentrations which may be related to changes in the C degrading enzymes. Surprisingly, the SOC molecular structure remained unchanged in all N enrichment and warmed plots, suggesting that both treatments had affected all forms of SOC, from simple and complex polymeric in a similar way. Our results suggest that long-term warming stimulates soil C loss but no preference in SOC loss with different chemical structure.