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151 results for “Soil Respiration”
Moisture and temperature effects on the radiocarbon signature of respired carbon dioxide to assess stability of soil carbon in the Tibetan Plateau
<p>Radiocarbon data set and code for the prediction of D14C values in bulk soil and respired CO2.</p> <p>Lab results for TOC, TN, TIC, Dap and physico-chemical properties of grassland and peatland soils</p> <p> </p>
Edge effects increase soil respiration without altering soil carbon stocks in temperate broadleaf forests
<p>Anthropogenic disturbance has left the world's forests highly fragmented, with a significant proportion of edge-affected area. Abiotic changes at forest edges are likely to affect forest soil carbon cycling, as higher temperatures and lower moisture availability in edge environments have well-documented effects on soil respiration. The present study sought to quantify persistent changes in soil carbon cycling in the fragmented broadleaf forests of southeastern Pennsylvania. At three sites with >80 year old forest-field edges, three 100 m transects perpendicular to the edge were established. Monthly measurements of soil respiration, temperature, and moisture were made at fixede distances along each transect throughout the growing season. Soil carbon storage from 0-20 cm depth, litter biomass, and decomposition rates were also assessed. Soil respiration was significantly higher at forest edges, relative to the interior, and this effect penetrated 60 m into the forest. Significantly elevated surface soil temperature and decreased soil moisture were also observed in edge environments. Despite elevated soil respiration at the edge, soil carbon storage, litter bssomass, and decomposition rates were invariant along edge to interior gradients. The temperature responsiveness of soil respiration was significantly higher in the forest interior (100 m), relative to locations ≤60 m from the edge. Edge effects altering elements of the soil carbon cycle were apparent in the forests of southeastern Pennsylvania, and principally manifest as increased soil respiration rates and decreased temperature responsiveness of soil respiration. Lack of variation in soil carbon pools and decomposition rates from the forest edge to interior suggests that increased soil respiration may be related to changes in root and rhizosphere respiration at the edge. These findings contribute to a growing body of evidence documenting increased soil respiration in the edge environments of temperate broadleaf forests. Discounting the alterations imposed by forest fragmentation on carbon cycling has the potential to produce misleading estimates of land-atmosphere CO<sub>2</sub> exchange and terrestrial carbon storage.</p>
Ericaceous dwarf shrubs contribute a significant but drought-sensitive fraction of soil respiration in a boreal pine forest
<p><span>Boreal forests often have a dense understory of ericaceous dwarf shrubs with ecological adaptations that contrast those of the canopy-forming trees. It is therefore important to quantify contributions by understory shrubs to ecosystem processes and disentangle shrub- and tree-driven responses, and their interactions, to climatic factors. </span><span>We quantified soil respiration driven by the pine canopy and the ericaceous shrub understory over three years, using a factorial pine root-exclusion and shrub-removal experiment in a mature <em>Pinus sylvestris</em> forest. Soil temperature and moisture-related responses of respiration attributed to autotrophic (shrubs, pine roots) and heterotrophs were compared. Additionally, we assessed effects of interactions between these functional groups on soil nitrogen availability and respiration. </span><span>Understory shrubs accounted for </span><span>22 ± 10% of total autotrophic respiration, reflecting the ericaceous proportion of fine root production in the ecosystem. Heterotrophic respiration constituted about half of total soil respiration. Shrub-driven respiration was more susceptible to drought than heterotrophic- and pine-driven autotrophic respiration. While the respiration attributed to canopy and understory remained additive, indicating no competitive release, </span><span>the plant guilds competed for inorganic N. </span><span>Ericaceous understory shrubs accounted for a small, yet significant, share of total growing season soil respiration. Overlooking understory respiration may lead to erroneous partitioning and modelling of soil respiration mediated by functional guilds with contrasting responses to soil temperature and moisture. A higher share of activity of both heterotrophs and pine roots, under drought conditions, could have important implications for soil organic matter accumulation and decomposition as the climate changes.</span></p>
High-level nitrogen additions accelerate soil respiration reduction over time in a boreal forest
<p>Increased nitrogen (N) inputs are widely recognized to reduce soil respiration (Rs), but how N deposition affects the temporal dynamics of Rs remains unclear. Using a decade-long fertilization experiment in a boreal larch forest (Larix gmelini) in northeast China, we found that the effects of N additions on Rs showed a temporal shift from a positive effect in the short-term (increased by 8% on average in the first year) to a negative effect over the longer term (decreased by 21% on average in the eleventh year). The rates of decrease in Rs for the higher N-levels were almost twice as high as those of the low N-level. Our results suggest that the reduction in Rs in response to increased N input is accelerated by high-level N additions, and experimental high N applications are likely to overestimate the contribution of N deposition to soil carbon sequestration in boreal forest.</p>
Recent photosynthates are the primary carbon source for soil microbial respiration in subtropical forests
<p class="Heading-Main"><span>Tropical and subtropical forests represent the largest terrestrial carbon pool. Elucidating the carbon sources for soil microbial respiration (Rm) in tropical and subtropical forests is of fundamental importance to the global carbon cycle in a warming world. Based on hourly measurements, we quantified Rm of <em>in situ </em>forest soil and soil cores from a subtropical forest. We found recent photosynthates, not soil organic carbon (SOC), contributed 88% ± 12% of the carbon source fueling Rm. The control of recent photosynthates on Rm is also supported by the close relationship between Rm and photosynthetically active radiation as well as literature data synthesis results. These results challenge conventional models based on the tenet that Rm is mainly regulated by soil temperature in all forest ecosystems. The results imply that the widely observed warming-induced Rm increases are largely explained by the enhanced input of recent photosynthates in tropical forests, not SOC consumption.</span></p>
Succession of bacteria and archaea within the soil micro-food web shifts soil respiration dynamics
<p>Supplementary Table 5. Overview over abundance changes, taxonomic affiliation, and response type of dominant ASVs under the different treatment combinations. M: maize litter , A: A. buetschlii, + and – signs indicate presence and absence, respectively.</p>
Responses of soil temperature, moisture, and respiration to five-year warming and nitrogen addition in a semi-arid grassland
<p><span>How climate warming interacts with atmospheric nitrogen (N) deposition to affect carbon (C) release from soils remains largely elusive, posing a major challenge in projecting climate change‒terrestrial C feedback. As part of a five-year (2006–2010) field manipulative experiment, this study was designed to examine the effects of 24-hour continuous warming and N addition on soil respiration and explore the underlying mechanisms in a semi-arid grassland on the Mongolian Plateau, China. Across the five years and all plots, soil respiration was not changed under the continuous warming, but was decreased by 3.7% under the N addition. The suppression of soil respiration by N addition in the third year and later could be mainly due to the reductions in the forb-to-grass biomass ratios. Moreover, there were interactive effects between continuous warming and N addition on soil respiration. Continuous warming increased soil respiration by 5.8% in the ambient N plots, but reduced it by 6.3% in the enriched N plots. Soil respiration was unaffected by N addition in the ambient temperature plots yet decreased by 9.4% in the elevated temperature plots. Changes of soil moisture and the proportion of legume biomass in the community might be primarily responsible for the non-additive effects of continuous warming and N addition on soil respiration.</span> This study provides empirical evidence for the positive climate warming‒soil C feedback in the ambient N condition. However, N deposition reverses the positive warming‒soil C feedback into a negative feedback, leading to decreased C loss from soils under a warming climate. Incorporating our findings into C-cycling models could reduce the uncertainties of model projections for land C sink and global C cycling under multifactorial global change scenarios.</p>
Large contribution of recent photosynthate to soil respiration in tropical dipterocarp forest revealed by girdling
<b>Description: </b><p>The research site is one of the existing intensive carbon plots (Tower Plot) at the SAFE Project Experimental area. The area where the plot is located will be converted into oil palm plantation during 2015-2017 (for commercial purposes, not for research). The overarching aim of the project is to assess how the termination of the transport of sugars and defoliation alter forest ecosystem functioning and structure.The aim of the project is:<br>1. To quantify the contribution of photosynthate supply to soil respiration: via the contribution of roots and soil microbial communities utilising root-derived carbon.<br>2. To assess whether there is a relationship between root respiration and tree species.<br>To address these aims, we girdled trees in one half of the plot (0.5 ha), leaving the other half (0.5 ha) as a control. In girdling, a strip of bark (including cambium and phloem) was removed from around the trunk, with the aim of stopping the transport of sugars from the foliage into the roots and soil. The transport of sugars stop immediately, allowing us to quantify their role in the root and soil processes. The girdled trees will gradually defoliate and die due to the carbon starvation of the roots. We wish to emphasise that these trees would have been felled anyway during the conversion to oil palm - this project is not causing any additional deforestation.<br>The processes measured are:<br>- CO2 fluxes from soil measured with portable chambers from which a gas sample is drawn and analysed in the field with a portable instrument (CO2) <br>- Changes in tree circumference monitored with automatic dendrometer bands.<br>- Terrestrial laser scanning (T-lidar), non-destructive method to quantify the 3D structure of the forest stand.Pre-girdling data of all processes will be collected, starting at least two months before the girdling. The girdling took place in early 2016, and the monitoring continued for twelve months afterwards.</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/28"><b>Tree girdling - BALI project</b></a></p><p><b>Funding: </b>These data were collected as part of research funded by: </p><ul><li>NERC, the Ministry of Education, Youth and Sports of the Czech Republic (Grant, NE/K01627X/1, NE/G018278/1, INTER-TRANSFER LTT19018)</li></ul><p>This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.</p><p></p><p><b>Permits: </b>These data were collected under permit from the following authorities:</p><ul><li>Sabah Biodiversity Council (Research licence JKM/MBS.1000-2/2 JLD.4 (3))</li></ul><p></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=5519572">here</a></p><p><b>Files: </b>This consists of 1 file: BALI_Nottingham_Girdling_Data_2021_rev.xlsx</p><p><b>BALI_Nottingham_Girdling_Data_2021_rev.xlsx</b></p><p>This file contains dataset metadata and 2 data tables:</p><ol><li><p><b>CO2 and H2O data</b> (described in worksheet CO2_H2O_data)</p><p>Description: Tree identity and mortality collected taken January 2016- January 2017; Soil respiration, soil temperature and January moisture measurements taken January- March 2016 in a girdled tropical forest using a LiCor 8100a </p><p>Number of fields: 12</p><p>Number of data rows: 12548</p><p>Fields: </p><ul><li><b>PlotName</b>: reference to the experiment location within the SAFE plot network (experiment took place in the 'Tower plot / SAF-05'') (Field type: location)</li><li><b>daynight</b>: defined by 6pm to 6am (Field type: categorical)</li><li><b>date</b>: date of measurement (Field type: date)</li><li><b>plot</b>: subplot' in manuscript (Field type: id)</li><li><b>Rday</b>: relative data to the start of girdling (girdling day = 0) (Field type: id)</li><li><b>CO2</b>: soil CO2 efflux (Field type: numeric)</li><li><b>H2O</b>: soil volumetric moisture (Field type: numeric)</li><li><b>T</b>: soil temperature (Field type: numeric)</li><li><b>port</b>: refers to soil collar location (we allocated chamber port to soil collar location) (Field type: id)</li><li><b>portplot</b>: soil collar location nested within plot (Field type: id)</li><li><b>time</b>: time of measurement (24h) (Field type: numeric)</li><li><b>phase</b>: measurement period (see manuscript for phase definitions) (Field type: categorical)</li></ul></li><li><p><b>Tree mortality data</b> (described in worksheet Mortality_data)</p><p>Description: Tree census of trees surroudings the points where Licor 8100a measurements were taken</p><p>Number of fields: 20</p><p>Number of data rows: 259</p><p>Fields: </p><ul><li><b>PlotName</b>: reference to the experiment location within the SAFE plot network (experiment took place in the 'Tower plot / SAF-05'') (Field type: location)</li><li><b>ForestPlotsCode</b>: reference to the experiment location within the SAFE plot network (experiment took place in the 'Tower plot / SAF-05'') (Field type: id)</li><li><b>Subplot</b>: subplots 1-12 included in the manuscript (Field type: id)</li><li><b>CensusDate</b>: date when trees were originally measured (Field type: date)</li><li><b>TagNumber</b>: tree tag identity (Field type: id)</li><li><b>Height_m</b>: tree height (Field type: numeric)</li><li><b>Comments</b>: comments about the tree (Field type: comments)</li><li><b>Family</b>: tree family (Field type: taxa)</li><li><b>Genus</b>: tree genus (Field type: taxa)</li><li><b>SpeciesName</b>: tree species (Field type: comments)</li><li><b>WoodDensity</b>: wood density (Field type: numeric)</li><li><b>CrownProjection_Area_m2_in2016</b>: Crown Projection Area in 2016 (Field type: numeric)</li><li><b>X_m</b>: coordinates (Latitude) (Field type: numeric)</li><li><b>Y_m</b>: coordinates (Longitude) (Field type: numeric)</li><li><b>GirdlingDeathDate</b>: girdling tree death date (Field type: date)</li><li><b>Biomass_kgPerStem</b>: Biomass_kgPerStem (Field type: numeric)</li><li><b>Carbon_kgCperStem</b>: Carbon_kgCperStem (Field type: numeric)</li><li><b>mortality</b>: mortality (Field type: categorical)</li><li><b>DBHgrowth_cm_year</b>: DBHgrowth_cm_year (Field type: numeric)</li><li><b>DBHAnnualGrowthRate</b>: DBHAnnualGrowthRate (Field type: numeric)</li></ul></li></ol><p><b>Date range: </b>2015-08-04 to 2017-02-07</p><p><b>Latitudinal extent: </b>4.5000 to 5.0700</p><p><b>Longitudinal extent: </b>116.7500 to 117.8200</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div> -  Plantae <br> -  -  Tracheophyta <br> -  -  -  Magnoliopsida <br> -  -  -  -  Lamiales <br> -  -  -  -  -  Lamiaceae <br> -  -  -  -  -  -  <i>Callicarpa</i> <br> -  -  -  -  Rosales <br> -  -  -  -  -  Urticaceae <br> -  -  -  -  -  -  <i>Pipturus</i> <br> -  -  -  -  -  -  <i>Dendrocnide</i> <br> -  -  -  -  -  -  <i>Oreocnide</i> <br> -  -  -  -  -  Moraceae <br> -  -  -  -  -  -  <i>Ficus</i> <br> -  -  -  -  Malpighiales <br> -  -  -  -  -  Achariaceae <br> -  -  -  -  -  -  <i>Hydnocarpus</i> <br> -  -  -  -  -  Euphorbiaceae <br> -  -  -  -  -  -  <i>Macaranga</i> <br> -  -  -  -  -  -  <i>Cephalomappa</i> <br> -  -  -  -  -  -  <i>Mallotus</i> <br> -  -  -  -  -  Phyllanthaceae <br> -  -  -  -  -  -  <i>Aporosa</i> <br> -  -  -  -  -  Ixonanthaceae <br> -  -  -  -  -  -  <i>Ixonanthes</i> <br> -  -  -  -  -  Calophyllaceae <br> -  -  -  -  -  -  <i>Calophyllum</i> <br> -  -  -  -  -  Violaceae <br> -  -  -  -  -  -  <i>Rinorea</i> <br> -  -  -  -  Ericales <br> -  -  -  -  -  Pentaphylacaceae <br> -  -  -  -  -  -  <i>Adinandra</i> <br> -  -  -  -  -  Sapotaceae <br> -  -  -  -  -  -  <i>Palaquium</i> <br> -  -  -  -  -  Symplocaceae <br> -  -  -  -  -  -  <i>Symplocos</i> <br> -  -  -  -  -  Ebenaceae <br> -  -  -  -  -  -  <i>Diospyros</i> <br> -  -  -  -  Malvales <br> -  -  -  -  -  Dipterocarpaceae <br> -  -  -  -  -  -  <i>Shorea</i> <br> -  -  -  -  -  -  <i>Dipterocarpus</i> <br> -  -  -  -  -  -  <i>Dryobalanops</i> <br> -  -  -  -  -  -  <i>Parashorea</i> <br> -  -  -  -  -  Malvaceae <br> -  -  -  -  -  -  <i>Pterospermum</i> <br> -  -  -  -  -  -  <i>Scaphium</i> <br> -  -  -  -  -  -  <i>Brownlowia</i> <br> -  -  -  -  -  -  <i>Sterculia</i> <br> -  -  -  -  -  -  <i>Microcos</i> <br> -  -  -  -  -  -  <i>Neesia</i> <br> -  -  -  -  -  -  <i>Diplodiscus</i> <br> -  -  -  -  Laurales <br> -  -  -  -  -  Lauraceae <br> -  -  -  -  -  -  <i>Actinodaphne</i> <br> -  -  -  -  -  -  <i>Litsea</i> <br> -  -  -  -  -  -  <i>Eusideroxylon</i> <br> -  -  -  -  Celastrales <br> -  -  -  -  -  Celastraceae <br> -  -  -  -  -  -  <i>Lophopetalum</i> <br> -  -  -  -  Magnoliales <br> -  -  -  -  -  Myristicaceae <br> -  -  -  -  -  -  <i>Knema</i> <br> -  -  -  -  -  Annonaceae <br> -  -  -  -  -  -  <i>Goniothalamus</i> <br> -  -  -  -  -  -  <i>Polyalthia</i> <br> -  -  -  -  -  -  <i>Maasia</i> <br> -  -  -  -  Vitales <br> -  -  -  -  -  Vitaceae <br> -  -  -  -  -  -  <i>Leea</i> <br> -  -  -  -  Myrtales <br> -  -  -  -  -  Myrtaceae <br> -  -  -  -  -  -  <i>Syzygium</i> <br> -  -  -  -  -  Lythraceae <br> -  -  -  -  -  -  <i>Duabanga</i> <br> -  -  -  -  Cornales <br> -  -  -  -  -  Cornaceae <br> -  -  -  -  -  -  <i>Alangium</i> <br> -  -  -  -  Gentianales <br> -  -  -  -  -  Rubiaceae <br> -  -  -  -  -  -  <i>Neolamarckia</i> <br> -  -  -  -  -  -  <i>Neonauclea</i> <br> -  -  -  -  -  -  <i>Urophyllum</i> <br> -  -  -  -  -  -  <i>Pleiocarpidia</i> <br> -  -  -  -  Fabales <br> -  -  -  -  -  Fabaceae <br> -  -  -  -  -  -  <i>Saraca</i> <br> -  -  -  -  -  Polygalaceae <br> -  -  -  -  -  -  <i>Xanthophyllum</i> <br> -  -  -  -  Cucurbitales <br> -  -  -  -  -  Tetramelaceae <br> -  -  -  -  -  -  <i>Octomeles</i> <br> -  -  -  -  Fagales <br> -  -  -  -  -  Fagaceae <br> -  -  -  -  -  -  <i>Lithocarpus</i> <br> -  -  -  -  -  -  <i>Castanopsis</i> <br> -  -  -  -  Sapindales <br> -  -  -  -  -  Sapindaceae <br> -  -  -  -  -  -  <i>Nephelium</i> <br> -  -  -  -  -  -  <i>Dimocarpus</i> <br> -  -  -  -  -  -  <i>Pometia</i> <br> -  -  -  -  -  Meliaceae <br> -  -  -  -  -  -  <i>Dysoxylum</i> <br> -  -  -  -  -  -  <i>Aglaia</i> <br> -  -  -  -  -  Burseraceae <br> -  -  -  -  -  -  <i>Canarium</i> <br> -  -  -  -  -  Anacardiaceae <br> -  -  -  -  -  -  <i>Buchanania</i> <br></div><p></p>
Data for the effects of temperature variation on the thermal adaptation of soil microbial respiration
<p>Data for the effects of temperature variation on the thermal adaptation of soil microbial respiration</p>
Tree diversity effects on soil microbial biomass and respiration are context-dependent across forest diversity experiments
<p><b>Aim</b></p> <p>Soil microorganisms are essential for the functioning of terrestrial ecosystems. Although soil microbial communities and functions may be linked to tree species composition and diversity, there has been no comprehensive study of how general these potential relationships are, or if they are context-dependent. Here, we examine tree diversity–soil microbial biomass and respiration relationships across environmental gradients using a global network of tree diversity experiments.</p> <p><b>Location</b></p> <p>Global</p> <p><b>Time Period</b></p> <p>2013</p> <p><b>Major Taxa Studied</b></p> <p>Soil microorganisms</p> <p><b>Methods</b></p> <p>Soil samples collected from eleven tree diversity experiments in four biomes were used to measure microbial respiration, biomass, and respiratory quotient using the substrate-induced respiration method. All samples were measured using the same analytical device, method, and procedure to reduce measurement bias. We used linear mixed-effects models and PCA to examine the effects of tree diversity (taxonomic and phylogenetic), environmental conditions, and interactions on soil microbial properties.</p> <p><b>Results</b></p> <p>Abiotic drivers, mainly soil water content, but also soil carbon and soil pH, significantly increased soil microbial biomass and respiration. Optimal soil water content reduced the importance of other abiotic drivers. Tree diversity alone had no effect on the soil microbial properties, but interactions with phylogenetic diversity indicated that diversity effects are context-dependent and stronger in drier soils. Similar results were found for soil carbon and soil pH.</p> <p><b>Main conclusions</b></p> <p>Our results point to the importance of abiotic variables and especially soil water content for maintaining high levels of soil microbial functions and modulating the effects of other environmental drivers. Planting tree species with diverse water-use strategies and structurally complex canopies and high leaf area may crucial for maintaining high soil microbial biomass and respiration. Since higher phylogenetic distance alleviated unfavorable soil water conditions, reforestation efforts accounting for traits improving soil water content or choosing more phylogenetically distant species may assist in increasing soil microbial functions.</p>
Data from: Effects of tree functional traits on soil respiration in tropical forest plantations
<p>The study covers four plantations stands of Acacia auriculiformis (A), Eucalyptus urophylla (E), Hopea odorata (H), and X. xylocarpa (X) through a sample plot (50 m x 50 m) in each stand from July 2015 until June 2016. Physical and chemical soil properties were collected at two depths (0-15 cm, 15-30 cm) at the beginning of the study (soil_properties_initial.csv). Additional samplings of topsoil pH, bulk density (BD, g cm-3), organic matter (OM, %), total carbon (TC, %), and nitrogen (TN, %) were conducted monthly (mo_yr) at five random locations (soil_properties_month.csv). Soil respiration (SR) was measured at the beginning of each month (mo_yr) at 12 locations (Point) within each species sample plot (Species) for ten hours (h_time) simultaneously with soil temperature (ST, C), air temperature (AT, C), relative humidity (RH), and soil moisture (SM, %) (soil_respiration.csv). The location of each soil respiration measurement point within the sample plots is provided as well (soil_respiration_location.csv). All trees within each sample plot were mapped (X, Y) and their stem basal area (BA_cm2) and height (H) were measured (stand_inventories.csv).</p>
Fire decreases soil respiration and its components in terrestrial ecosystems
<ol> <li>The impact of fire on aboveground biomass has significant consequences on soil carbon (C) dynamics, which is essential in predicting the global C budget during the Anthropocene. However, there is considerable spatiotemporal variability in the directions and magnitudes of fire effects on soil respiration, and the drivers associated with these effects are not well understood.</li> <li>Here, we conducted a global meta-analysis of 1327 individual observations from 170 studies to determine the extent to which fire influenced soil total respiration (R<sub>s</sub>), heterotrophic respiration (R<sub>h</sub>), and autotrophic respiration (R<sub>a</sub>).</li> <li>We found fires reduced R<sub>s</sub>, R<sub>h</sub>, and Ra, with an average effect of -11.0%, -17.5%, and -40.6%, compared to unburnt sites. Specifically, wildfires significantly reduced R<sub>s</sub>and R<sub>h </sub>(-20.4% and -25.0%, respectively), and prescribed fire significantly decreased Ra (-74.8%). The influences of fire on R<sub>s </sub>and its components were moderated by fire severity, season, type, climate zones, and biomes. After several years from the time of the fire, the negative effects of fire on R<sub>s </sub>diminished and then recovered to a state not significantly different from unburnt sites; Rh exhibited a similar but decayed temporal response. Similarly, the negative effects on R<sub>a</sub> disappeared after 3 years following the latest fire. The magnitude of the effect on R<sub>s </sub>was strongly associated with soil temperature, cation exchange capacity, total nitrogen (N) content, and N-acquiring enzyme activity. In contrast, the magnitude of the effect on R<sub>h </sub>significantly changed with pH, bulk density, texture, soil C and nutrient contents, and C- acquiring enzyme activity.</li> <li>Our findings advance the understanding of the inhibition and associated mechanisms of fire on R<sub>s </sub>and its components, highlighting the need for new research efforts to predict the spatial-temporal shifts in underground C cycling induced by fire. </li> </ol>
Chronological dataset of soil respiration fluxes from a seasonally dry forest in Northwest México
<p>Soil respiration data was acquired and analyzed as described in Vargas-Terminel et al.[1]. Briefly, soil respiration was obtained by measuring changes in CO<sub>2</sub> concentrations with a portable soil flux system attached to a static chamber covering a portion of soil. Each measurement cycle in soil lasted 3 mins and was done monthly during a four-year period in 8 to 12 locations within three sites of tropical dry forest in Northwestern Mexico (a recent abandonment, a mid-secondary forest and an old-growth). Also, simultaneous soil temperature and volumetric soil water content measurements were carried with a thermocouple thermometer and a soil moisture sensor, respectively. Finally, soil respiration flux was calculated with commercial soil data processing software.</p>
Ericaceous dwarf shrubs contribute a significant but drought-sensitive fraction of soil respiration in a boreal pine forest
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Soil fungi and fine root biomass mediate drought-induced reductions in soil respiration
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Recent photosynthates are the primary carbon source for soil microbial respiration in subtropical forests
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Sustainable land use enhances soil microbial respiration responses to experimental heat stress
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Edge effects increase soil respiration without altering soil carbon stocks in temperate broadleaf forests
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Mycorrhiza-dependent drivers of the positive rhizosphere effects on the temperature sensitivity of soil microbial respiration in subtropical forests
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High-level nitrogen additions accelerate soil respiration reduction over time in a boreal forest
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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.