{"type": "FeatureCollection", "features": [{"id": "10.5061/dryad.4qrfj6qg2", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-31T07:02:12Z", "type": "Dataset", "created": "2023-07-07", "title": "Depth-dependent effects of Ericoid Mycorrhizal shrubs on soil carbon and nitrogen pools are accentuated under Arbuscular Mycorrhizal Trees", "description": "unspecifiedWe worked in a 3,213-ha second-growth, mixed-hardwood forest in  Connecticut, USA (41\u00b057\u2019 N, 72\u00b007\u2019 W). We established 18 10-m radius  plots, each containing a pair of 1-m radius subplots (n =36), evenly  arrayed across three forest stands that contained areas of both high AM  and high EcM tree relative basal area as well as a patchy distribution of  the ErM shrub <em>Kalmia latifolia</em>.\u00a0 \u00a0 \u00a0 \u00a0 \u00a0  \u00a0\u00a0 \u00a0 Within each of the 18  plots, we established paired 1-m radius subplots with and without K.  latifolia in the understory ( \u201c+/- ErM subplot\u201d) within 2 m of the center  of the 10-m radius plot. In each 1-m radius subplot, we measured trees \u22651  cm diameter at breast height (DBH; 1.37 m). We also measured DBH of all  trees \u226520 cm DBH within 10 m and trees \u22655 cm DBH within 5 m of plot  center. We calculated the percentage of EcM tree basal area out of total  basal area, scaled to m2 ha-1. \u00a0  In June 2021, we collected and pooled two soil samples for each  of three depths within the 36 paired subplots (i.e. 18 +ErM and 18 -ErM  subplots). The three depths included: (1) the Oa horizon (depth varied  depending on the thickness of the horizon); (2) the top 10 cm of the A  horizon, beginning at the base of the Oa horizon; and (3) a second,  contiguous A horizon sample that reached a cumulative sampling depth of 30  cm, inclusive of the depth of the Oa horizon. For the organic layer, we  removed the litter layer (i.e. the Oi and Oe horizons) and collected and  pooled two 25 by 25-cm areas of the Oa horizon using a square template.  For the mineral layers, we collected two contiguous depth increments from  the A horizon within the footprint of the 25 by 25-cm areas using a  5.08-cm diameter hammer corer. In each instance, we recorded the exact  sampling depth. Two subplots did not have an Oa horizon, so we collected a  total of 106 samples (3 sites \u00d7 6 plots \u00d7 2 subplots \u00d7 3 depths \u2212 2 Oa  samples). Soils were stored at 4\u00b0C prior to their analysis.  \u00a0 To prepare the soil samples for  analysis, we weighed and homogenized each sample, air dried a  representative subsample of non-sieved soil, and passed the remaining  field-moist sample through a 4-mm sieve. Using the non-sieved subsample,  we estimated the mass and volume of roots and stones and calculated soil  bulk density values. For total soil organic matter (SOM) content, we  heated samples at 550\u00b0C for 12-h in a muffle furnace and calculated loss  on ignition. \u00a0 We used a  modified substrate-induced respiration method as an indicator of active  saprotrophic microbial biomass. Using autolyzed yeast extract solution as  a labile C substrate, we measured rates of CO2 efflux over a 4-h  incubation period with an Infra-Red Gas Analyzer and calculated the rate  of C-CO2 production per unit of equivalent soil dry mass. For  microbially-available C, we estimated potential CO2 production rates over  a 14-d incubation period. We measured CO2 efflux over 24-h periods at days  1, 5, 8, and 14 and integrated the four measurements to calculate  cumulative C-CO2 production. We estimated water holding capacity by  saturating each field-moist sample with water and allowing it to drain  freely for 2 h. To calculate the equivalent dry mass of field-moist  samples, we measured gravimetric water content by oven-drying the samples  to constant mass at 105\u00b0C. \u00a0  We separated the &gt;53 and &lt;53\u2009\u00b5m particle size  fractions to quantify particulate (POM) and mineral-associated soil  organic matter fractions. We passed air-dried samples through a 2-mm sieve  and then dispersed soil aggregates by shaking ~30 g of the sieved,  air-dried sample with 30\u2009mL of sodium hexametaphosphate (NaHMP) solution  for 18 h. We rinsed each sample over a 53-\u00b5m sieve with deionized water  until the water passing through the sieve ran clear. We oven-dried the  &gt;53-\u00b5m fraction retained on the top of the sieve and a  representative subsample of the &lt;53-\u00b5m fraction suspended in  solution at 70\u00b0C. To estimate the mass of the &lt;53-\u00b5m fraction, we  calculated the difference between the initial soil mass (105\u00b0C equivalent)  and the recovered mass of the &gt;53-\u00b5m fraction (105\u00b0C equivalent).  To convert air-dried soil mass to oven-dried mass we dried a subsample of  each air-dried sample at 105\u00b0C. Fractions were ground to a fine powder and  analyzed for total carbon (C) and nitrogen (N) concentrations using a  Costech ESC 4010 Elemental Analyzer. \u00a0  We used an equivalent soil mass approach to calculate soil C,  N, SOM, microbial biomass, and microbially-available C stocks in three  equivalent soil mass layers as well as the sum of the three layers to  estimate cumulative stocks at the subplot level. Following this approach,  we report stocks to a standard soil mass and therefore allow the depth of  the equivalent soil mass layers to vary depending on soil bulk density. To  calculate equivalent soil mass stocks, we added or subtracted elemental  stocks of the deeper soil layer to the upper soil layer in 1-mm increments  until the soil mass from the upper layer is closest to that of the target  soil mass. We chose reference soil masses using the median or target field  sampling depth and the mean bulk density value for each of the three depth  increments to make them roughly equivalent to the sampled depths. Based on  this method, the organic layer had an equivalent mass of ~2.5 kg soil m-2  (median Oa depth = 2.5 cm; mean Oa bulk density = 0.10 g cm-3), the  surface mineral layer had an equivalent mass of ~37 kg soil m-2 (target  sampling depth = 10 cm; mean bulk density = 0.37 g cm-3), and the  subsurface mineral layer had an equivalent mass of ~126 kg soil m-2 (the  target sampling depth was 17.5 cm for a sample with a 2.5 cm Oa depth;  mean bulk density = 0.72 g cm-3). The cumulative equivalent soil mass for  the subplot-level stocks was the sum of the three layers, or ~166 kg soil  m-2.", "keywords": ["equivalent soil mass", "ericoid mycorrhizal fungi", "13. Climate action", "ectomycorrhizal fungi", "Particulate organic matter", "FOS: Biological sciences", "soil nitrogen", "Arbuscular mycorrhizal fungi", "Mineral-associated organic matter", "soil carbon stocks", "15. Life on land"], "contacts": [{"organization": "Ward, Elisabeth", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.4qrfj6qg2"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.4qrfj6qg2", "name": "item", "description": "10.5061/dryad.4qrfj6qg2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.4qrfj6qg2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-07-12T00:00:00Z"}}, {"id": "10.5061/dryad.79cnp5htw", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-31T07:02:13Z", "type": "Dataset", "title": "Data from: A tipping-point in carbon storage when forest expands into tundra is related to mycorrhizal recycling of nitrogen", "description": "unspecifiedTundra ecosystems are global belowground sinks for atmospheric CO2.  Ongoing warming-induced encroachment by shrubs and trees risks turning  this sink into a CO2 source, resulting in a positive feedback on climate  warming. To advance mechanistic understanding of how shifts in mycorrhizal  types affect long-term carbon (C) and nitrogen (N) stocks, we studied  small-scale soil depth profiles of fungal communities and C-N dynamics  across a subarctic-alpine forest-heath vegetation gradient. Belowground  organic stocks decreased abruptly at the transition from heath to forest,  linked to the presence of certain tree-associateds ectomycorrhizal fungi  that contribute to decomposition when mining N from organic matter. In  contrast, ericoid mycorrhizal plants and fungi were associated with  organic matter accumulation and slow decomposition. If climatic controls  on arctic-alpine forest lines are relaxed, increased decomposition will  likely outbalance increased plant productivity, decreasing the overall C  sink capacity of displaced tundra.", "keywords": ["C-N dynamics", "ectomycorrhizal exploration type", "functional genes", "ergosterol", "ITS2 meta-barcoding", "Fungal community", "Arctic greening", "Climate feedback", "15. Life on land", "litter saprotrophs", "mycorrhizal type", "litter bags", "13. Climate action", "soil solution", "FOS: Biological sciences", "soil carbon storage", "quantitative PCR", "soil profiles", "Ectomycorrhizal fungal community", "Ericoid Mycorrhiza", "treeline ecotone"], "contacts": [{"organization": "Clemmensen, Karina E, Durling, Mikael B, Michelsen, Anders, Hallin, Sara, Finlay, Roger D, Lindahl, Bj\u00f6rn D,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.79cnp5htw"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.79cnp5htw", "name": "item", "description": "10.5061/dryad.79cnp5htw", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.79cnp5htw"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-28T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Ericoid+Mycorrhiza&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Ericoid+Mycorrhiza&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Ericoid+Mycorrhiza&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Ericoid+Mycorrhiza&offset=2", "hreflang": "en-US"}], "numberMatched": 2, "numberReturned": 2, "distributedFeatures": [], "timeStamp": "2026-05-31T13:56:52.413049Z"}