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opencc-by-4.0Nov 2024View details →

Ecoregional patterns of protist communities in mineral and organic soils: assembly processes, functional traits and diversity of testate amoebae in Northern Eurasia

TA_Traits.csv file includes trait data for testate amoebae. TA_Abundance.csv file includes environmental variables (soil type and region) and relative abundance data of testate amoebae.

opencc-by-4.0Nov 2024View details →

Mapping Global Nitrogen Mineralization Rates: A Climate-Soil Perspective

The file "Ecosystem_β.tif" represents the spatial distribution of nitrogen mineralization rates in global ecosystems (cropland, grassland, and forest) under different climate models (SSP1-2.6, SSP2-4.5, SSP5-8.5). "Cropland_β.tif" represents the spatial distribution of cropland ecosystems across various SSPβ scenarios. "Grassland_β.tif" represents the spatial distribution of grassland ecosystems under different SSPβ scenarios. "Forest_β.tif" represents the spatial distribution of forest ecosystems across different SSPβ scenarios.

opencc-zeroJan 2023View details →

An isotope study on Nitrogen and Phosphorus use efficiency and movement in soil in a mimicked vermicompost-based organo-mineral fertilizer

Vermicompost (VC), a stabilized organic material with high organic and humic carbon, and favorable aggregation properties, was tested as a fraction of organo-mineral fertilizers (OMFs), where organic and mineral fractions interact in hotspot areas with surrounding soil. Solutions containing 33P radioisotope and 15N labeled mineral fertilizers were combined with vermicompost at two ratios of organic carbon (Corg) to mineral nitrogen (N) and phosphorus (P) (OMF7.5C and OMF15C) to simulate OMF granules. Control treatments included unfertilized soil (N0P0), mineral fertilizer (MFNP), and sole vermicompost at 2 rates (OF7.5C and OF15C). Nitrogen and P uptake by Italian ryegrass (Lolium multiflorum) were measured over in 8 weeks. Furthermore, MFNP, OMF7.5C, and OMF15C treatments were incubated for 10 days without plant to measure atom% 15N excess and 33P radioactivity, as indicators of N and P movement from two soil layers (surrounding fertilizer hotspot and below it). In the pot study, OMF15C caused 24% lower biomass and less nutrient recovery derived from fertilizer (N -11%, P –8.5%), compared to MFNP. In the incubation study, OMF15C exhibited +19% atom% 15N excess in the combined two soil layers, relative to MFNP, and +28% 33P radioactivity in the soil surrounding the hotspot, and –89 % in the soil below it. We interpreted this as a reduction in nutrient availability of the combined vermicompost+mineral fertilizers, due to lower P mobility in soil. The combination of vermicompost with mineral fertilizers can reduce P movement in soil. A higher Corg:N:P ratio resulted in lower nutrient use efficiency in two months.

opencc-zeroDec 2021View details →

Mineral nitrogen nutrition of Fagus sylvatica L roots colonized by ectomycorrhizal fungi in native forest soil

The aim of this study was to examine the transcription-level response of a symbiotic system comformed by the host tree Fagus sylvatica L (European beech) and the root-associated mycobiota to fluctuations in ammonium and nitrate availability in the soil. The experiment was conducted with young trees grown at a natural regeneration forest. We used 15N stable isotopes in combination with DNA-based and RNA-based molecular methods and Illumina sequencing. We report data on the beech root-associated fungal community structure obtained by metabarcoding of the fungal ITS2 region, transcriptome data from the fungal community associated to the tree roots, and transcriptome data from Fagus sylvatica L in response to ammonium or nitrate application to the soil. We also report data from soil ammonium-N, soil-nitrate-N, tree and soil dry mass, root 15N, root N, root C, root carbohydrates, root ammonium-N, root nitrate-N, soil pH, and climate data from the experiment.

opencc-zeroAug 2022View details →

Hydrothermal conditions determine soil potential net N mineralization rates in arid and semi-arid grasslands

Soil net nitrogen (N) mineralization is a key biogeochemical process influencing plant available N and net primary productivity (NPP) in terrestrial ecosystems. However, the spatial variations and controlling factors of soil net N mineralization (RPNM) in arid and semi-arid grasslands are less studied and unclear. In this study, we investigated the soil RPNM by performing a laboratory incubation experiment. Soil samples were collected from 30 sites in three east-west transects on the Inner Mongolia Plateau (MP), Loess Plateau (LP), and Tibetan Plateau (TP) along a 3,200 km arid and semi-arid grassland gradient, with each transect containing three different grassland types (meadow steppe, typical steppe, and desert steppe, respectively). Results showed that the average RPNM values ranged from -0.37 to 1.29 mg N kg–1 d–1, with a significantly lower RPNM found in the desert steppe (0.08 ± 0.01 mg N kg–1 d–1) compared with those in the meadow steppe (0.30 ± 0.03 mg N kg–1 d–1) and in the typical steppe (0.33 ± 0.03 mg N kg–1 d–1) in the MP and LP transects (p < 0.05). This difference could be explained by variations in climatic and soil factors, such as hydrothermal index (HT), the soil pH, soil organic matter (SOM) and precipitation. However, no significant differences in RPNM were found among different grassland types in the TP transect, possibly due to the similarly low microbial activity, as indicated by the MBC values. Across all three grassland transects, HT, SOM, and microbial variables were the major factors controlling RPNM, which together explained 20.7% of the variation in RPNM. Further SEM analysis indicated HT was an integral predictor of RPNM, directly or indirectly via SOM, under different conditions of precipitation and temperature. Our findings provide field evidence and parameters for biogeochemical cycling to better predict future N transformation processes under changing precipitation and temperature regimes across a wide range of arid and semi-arid grassland ecosystems.

opencc-by-4.0Aug 2022View details →

Data for "Mineral soils are an important intermediate storage pool of black carbon in boreal forests"

This data is used in the publication "Mineral soils are an important intermediate storage pool of black carbon in boreal forests". The column plot_id uniquely represents each sample plot in the study and matches the columns of the same name in the complementary dataset "<a href="https://doi.org/10.5281/zenodo.5078669">Dataset for 'Climatic Variation Drives Loss and Restructuring of Carbon and Nitrogen in Boreal Forest Wildfire'</a>".  Odd numbers are burnt plots, while the burnt plot_id plus 1 is its paired control. Columns are labeled with the name of sampled soil layer and entries are their associated BC:W values. BC:W is unitless (formed by dividing grams black carbon by grams sample weight). Empty spots mean there was no material at the plot to collect.

opencc-by-4.0May 2024View details →

Contrasting Responses of Particulate and Mineral-Associated Organic Carbon to Afforestation Potentially Obscure Soil Carbon Accumulation [Dataset]

This is the data repository for the manuscript “Contrasting Responses of Particulate and Mineral-Associated Organic Carbon to Afforestation Potentially Obscure Soil Carbon Accumulation” submitted to Global Biogeochemical Cycles.

Table 4 in Influence of Mycorrhizae and Irrigation on Growth and Mineral Uptake by Corn (Zea mays L.) Seedlings in a Calcareous Soil

Table 4. Analysis of variance for micronutrient (Fe, Mn, B, Cu, and Zn) uptake by shoots of corn seedlings. Numbers are P values with F statistics in parentheses. Plants were grown in Guam cobbly clay soil, inoculated or not inoculated with Glomus aggregatum and provided one of four levels of water.<table><tbody><tr><th></th><th></th><th></th><th>Micronutrients</th><th></th><th></th></tr></tbody><tbody><tr><th>Source</th><td>df</td><td>Fe</td><td>Mn</td><td>B</td><td>Cu</td><td>Zn</td></tr><tr><th>Water (W) *</th><td>3</td><td>0.75 (0.36)</td><td><0.01 (9.57)</td><td>0.22 (1.67)</td><td>0.12 (0.89)</td><td><0.05 (7.23)</td></tr><tr><th>Inoculation (I)</th><td>1</td><td><0.001 (31.16)</td><td><0.001 (169.46)</td><td><0.001 (69.93)</td><td><0.001 (38.63)</td><td><0.001 (436.02)</td></tr><tr><th>W × I</th><td>3</td><td>0.88 (0.37)</td><td>0.18 (1.83)</td><td>0.65 (0.62)</td><td>0.59 (0.91)</td><td>0.24 (1.29)</td></tr></tbody></table>*Water treatment (W) was tested against main-plot error while both inoculation (I) and interaction (W × I) were tested against the sub-plot error.

Table 5 in Influence of Mycorrhizae and Irrigation on Growth and Mineral Uptake by Corn (Zea mays L.) Seedlings in a Calcareous Soil

Table 5. Correlation analysis of plant growth parameters (shoot biomass, root biomass, leaf width, SPAD chlorophyll reading) and uptake of macro- and microelements in leaf tissues.<table><tbody><tr><th></th><th></th><th>Macroelements</th><th>plant)</th><th></th><th></th><th>Microelements</th><th>plant)</th><th></th></tr></tbody><tbody><tr><th>Growth parameter</th><td>N</td><td>P</td><td>K</td><td>Mg</td><td>Ca</td><td>Fe</td><td>Mn</td><td>B</td><td>Cu</td><td>Zn</td></tr><tr><th>Shoot biomass (g)</th><td>0.8873</td><td>0.9521</td><td>0.9482</td><td>0.9746</td><td>0.9551</td><td>0.7587</td><td>0.9439</td><td>0.8959</td><td>0.8534</td><td>0.9321</td></tr><tr><th>Root biomass (g)</th><td>0.8258</td><td>0.9079</td><td>0.9150</td><td>0.9452</td><td>0.9497</td><td>0.7199</td><td>0.9112</td><td>0.9358</td><td>0.7390</td><td>0.8730</td></tr><tr><th>Leaf width (cm)</th><td>0.8569</td><td>0.9067</td><td>0.9394</td><td>0.9251</td><td>0.8954</td><td>0.8011</td><td>0.8957</td><td>0.8779</td><td>0.8478</td><td>0.9030</td></tr><tr><th>Chlorophyll (SPAD)</th><td>0.852</td><td>0.8211</td><td>0.8664</td><td>0.8104</td><td>0.7893</td><td>0.7284</td><td>0.7616</td><td>0.7377</td><td>0.7400</td><td>0.8377</td></tr></tbody></table>All correlations are highly significant at P <, Pearson.

Table 3 in Influence of Mycorrhizae and Irrigation on Growth and Mineral Uptake by Corn (Zea mays L.) Seedlings in a Calcareous Soil

Table 3. Analysis of variance for macronutrient (N, P, K, Mg and Ca) uptake by shoots of corn seedlings. Numbers are P values with F statistics in parentheses. Plants were grown in Guam cobbly clay soil, inoculated or not inoculated with Glomus aggregatum, and provided one of four levels of water.<table><tbody><tr><th></th><th></th><th></th><th></th><th>Macronutrients</th><th></th><th></th></tr></tbody><tbody><tr><th>Source</th><td>df</td><td>N</td><td>P</td><td>K</td><td>Mg</td><td>Ca</td></tr><tr><th>Water (W)*</th><td>3</td><td><0.05 (4.19)</td><td><0.05 (6.06)</td><td><0.01 (6.23)</td><td><0.01 (8.03)</td><td><0.01 (6.75)</td></tr><tr><th>Inoculation (I) 1</th><td><0.001 (159.51)</td><td><0.001 (437.94)</td><td><0.001 (816.51)</td><td><0.001 (364.49)</td><td><0.001 (116.39)</td></tr><tr><th>W × I</th><td>3</td><td>0.27 (2.30)</td><td>0.07 (2.70)</td><td>0.37 (0.95)</td><td>0.08 (2.44)</td><td>0.18 (2.27)</td></tr></tbody></table>*Water treatment (W) was tested against main-plot error while both inoculation (I) and interaction (W × I) were tested against the sub-plot error.

Table 2 in Influence of Mycorrhizae and Irrigation on Growth and Mineral Uptake by Corn (Zea mays L.) Seedlings in a Calcareous Soil

Table 2. Analysis of variance for shoot biomass, root biomass, leaf width, and SPAD chlorophyll reading of corn seedlings. Numbers are P values with F statistics in parentheses. Plants were grown in Guam cobbly clay soil, inoculated or not inoculated with Glomus aggregatum, and provided one of four water treatments.<table><tbody><tr><th></th><th></th><th></th><th>Growth parameters</th><th></th></tr></tbody><tbody><tr><th></th><td></td><td>Shoot biomass</td><td>Root biomass</td><td>Leaf width</td><td>SPAD chlorophyll</td></tr><tr><th>Source</th><td>df</td><td>(g/plant)</td><td>(g/plant)</td><td>(cm)</td><td>reading</td></tr><tr><th>Water (W)*</th><td>3</td><td><0.01 (12.52)</td><td><0.01 (11.73)</td><td><0.01 (10.19)</td><td>0.62 (3.77)</td></tr><tr><th>Inoculation (I)</th><td>1</td><td><0.001 (406.63)</td><td><0.001 (272.41)</td><td><0.001 (195.20)</td><td><0.001 (234.03)</td></tr><tr><th>W × I</th><td>3</td><td><0.01 (6.06)</td><td><0.05 (4.09)</td><td>0.44 (0.97)</td><td><0.01 (1.68)</td></tr></tbody></table>*Water treatment (W) was tested against main-plot error while both inoculation (I) and interaction (W × I)were tested against the sub-plot error.

Table 1 in Influence of Mycorrhizae and Irrigation on Growth and Mineral Uptake by Corn (Zea mays L.) Seedlings in a Calcareous Soil

Table 1. Chemical characteristics of Guam cobbly clay soil used in the experiment.<table><tbody><tr><th>Parameter</th><th>Unit</th><th>Value</th></tr></tbody><tbody><tr><th>pH</th><td></td><td>7.0</td></tr><tr><th>Organic Matter</th><td>g kg-1</td><td>6.4</td></tr><tr><th>P</th><td>mg kg-1</td><td>25</td></tr><tr><th>K</th><td>mg kg-1</td><td>56</td></tr><tr><th>Ca</th><td>mg kg-1</td><td>5678</td></tr><tr><th>Mg</th><td>mg kg-1</td><td>123</td></tr><tr><th>Mn</th><td>mg kg-1</td><td>5.6</td></tr><tr><th>Fe</th><td>mg kg-1</td><td>63</td></tr><tr><th>Zn</th><td>mg kg-1</td><td>0.9</td></tr><tr><th>Cu</th><td>mg kg-1</td><td>0.7</td></tr></tbody></table>

opencc-by-4.0Sep 2021View details →

Clay minerals control rare earth elements (REE) fractionation in Brazilian mangrove soils

XRD data from different size fractions of Brazilian mangrove soils, supporting the manuscript entitled Clay minerals control rare earth elements (REE) fractionation in Brazilian mangrove soils, submitted to the journal Catena.

opencc-zeroMay 2023View details →

The contribution of Fe(III) reduction to soil carbon mineralization in montane meadows depends on soil chemistry, not parent material or microbial community

The long-term stability of soil carbon (C) is strongly influenced by organo-mineral interactions. Iron (Fe)-oxides can both inhibit microbial decomposition by providing physicochemical protection for organic molecules and enhance rates of C mineralization by serving as a terminal electron acceptor, depending on redox conditions. Restoration of floodplain hydrology in montane meadows has been proposed as a method of sequestering C for climate change mitigation. However, dissimilatory microbial reduction of Fe(III) could lead to C losses under increased reducing conditions. In this study, we explored variations in Fe-C interactions over a range of redox conditions and in soils derived from two distinct parent materials to elucidate biochemical and microbial controls on soil C cycling in Sierra Nevada montane meadows. Differences in parent material were associated with different rates of Fe(III) reduction at increasing soil moisture levels, but not with differences in soil C mineralization. Known Fe(III)-reducing taxa were present in all samples but neither the relative abundance nor richness of Fe(III) reducers corresponded with measured rates of Fe(III) reduction. Under reducing conditions, our results suggest that Fe(III) reduction contributes to C mineralization only when Fe-bound C is present. However, Fe-bound C was not present in all of our soils and was below theoretical limits for C sorption onto Fe-oxides where it was found. Overall, our results suggest that meadow-specific soil chemistry drives Fe-C interactions and that the impact of Fe on C cycling in montane meadows may be smaller than in other ecosystems.

opencc-by-4.0May 2023View details →

Dataset of manuscript "No detectable upper limit of mineral associated carbon in temperate agricultural soils"

Dataset of carbon fractions (mineral associated organic carbon and particulate organic carbon) detected in a subset of topsoil samples of the first German Agricultural Soil Inventory.

opencc-by-4.0Jun 2023View details →

Data from Comparing organic carbon bound to different minerals in wetland and upland soils

Here is the data and drawing code  for "comparing organic carbon bound to different minerals in wetland and upland soils". Mineral binding of organic carbon (OC) is vital for soil organic carbon (SOC) persistence. However, the relative importance of two main types of soil minerals - metal oxides and silicate clay - in SOC protection remains unclear, hampering our ability to predict and protect this important pool of persistent SOC. Here, using sequential dissolution by dithionite and hydrofluoric acid, we quantified OC bound to metal oxides versus silicate clay in soils from contrasting environments (i.e., wetlands and uplands).  We find that metal oxides override silicate clay in SOC protection in both wetlands and uplands, and OC bound to soil minerals (especially metal oxides) constitutes a higher fraction of SOC in wetlands than uplands, suggesting an underappreciated role of mineral protection in wetland SOC preservation. Furthermore, using lignin phenol analysis in tandem, we find that silicate clay dissolution may release an addition of ~23% lignin phenols from soils, potentially providing a means to assess ‘hidden’ lignin in mineral matrices. These findings highlight the important role of different soil minerals in the protection of SOC and its components in contrasting terrestrial environments, and advance our understanding of predicting and protecting this important pool of persistent SOC.

opencc-by-4.0Sep 2023View details →

Mineral Protection rather than Aggregate Stability Enhanced Soil Organic Carbon Along an Elevated Gradient in Alpine Areas of Southwest China

This data contains Background, Dominant plant and their biomass, Environmental variables, Aggregate stability, Fe/Al oxides, Mass of soil density fractions, Carbon contetn in each density fraction, Mass of aggregates, Carbon content in each aggregate class size, Ratio of carbon content in each soil density and aggregate fractions and Enzyme avtivity of our investigated sites. Total 46 factors were given.

publicAug 2022View details →

Hydrothermal conditions determine soil potential net N mineralization rates in arid and semi-arid grasslands

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publicJul 2025View details →

Data from: Contrasting trends in plant diversity and soil carbon mineralization under precipitation-driven vegetation and soil carbon dynamics in the Mongolian plateau

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