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15 results for “soil CO2 efflux”
Data for "Soil CO2 efflux errors are lognormally distributed - Implications and guidance."
<p>Soil CO2 flux data at site ES-LMa of four automatic chambers in the control-openLand-subplot for the period from 2015-11-10 to 2016-11-10.</p> <p>These data were used for the publication:</p> <p>Wutzler, et al. (2020) "Soil CO2 efflux errors are lognormally distributed - Implications and guidance." Geoscientific Instrumentation, Methods, and Data Systems</p> <p>Variables, units and description are found in the ReadmeDataDescription.csv file</p> <p> </p>
Short-term effects of biochar on soil CO2 efflux in boreal Scots pine forests
<p>This dataset includes all the data we collected at the first summer after biochar application in boreal forests. Our paper“ the effect of biochar on soil CO<sub>2</sub> efflux in boreal forests“ now is under review in Annals of Forest Science. Biochar prepared at two reaction temperatures was applied at three rates (including non-amended controls). During the first year after treatment, efflux increased with higher rates of biochar, but the reaction temperature had no effect. o explain char effects on efflux, soil moisture and temperature were also added to the model testing treatment effects. These environmental variables explained more of the variation in efflux and caused treatment to no longer have a significant effect. Based on this result, we concluded that soil temperature explains the effect of char on efflux.</p>
Short-term effects of biochar on soil CO2 efflux in boreal Scots pine forests
<p>This dataset includes all the data we collected at the first summer after biochar application in boreal forests. Our paper“ the effect of biochar on soil CO<sub>2</sub> efflux in boreal forests“ now is under review in Annals of Forest Science. Biochar prepared at two reaction temperatures was applied at three rates (including non-amended controls). During the first year after treatment, efflux increased with higher rates of biochar, but the reaction temperature had no effect. o explain char effects on efflux, soil moisture and temperature were also added to the model testing treatment effects. These environmental variables explained more of the variation in efflux and caused treatment to no longer have a significant effect. Based on this result, we concluded that soil temperature explains the effect of char on efflux.</p>
Meta-analysis shows forest soil CO2 effluxes are dependent on the disturbance regime and biome type
<p class="MsoNormal"><span>F</span><span>orest </span><span>s</span><span>oil CO<sub>2</sub> efflux (F</span><span>CO<sub>2</sub></span><span>)</span><span> is a crucial process in global carbon cycling; however, how F</span><span>CO<sub>2</sub></span><span> responds to disturbance regimes in different forest biomes is poorly understood. </span><span>W</span><span>e quantif</span><span>ied</span><span> the effects of disturbance regimes on F</span><span>CO<sub>2</sub></span><span> </span><span>across boreal, temperate, tropical, and</span><span> Mediterranean</span><span> forests</span><span> based on 1240 observations from 380 studies. Globally, climatic perturbations such as elevated CO<sub>2</sub> concentration, warming, and increased precipitation increase F</span><span>CO<sub>2</sub></span><span> </span><span>by 13 to 25%. F</span><span>CO<sub>2</sub></span><span> is increased by forest conversion to grassland and elevated carbon input by forest management practices but reduced by decreased carbon input, fire, and acid rain. Disturbance also changes soil temperature and water content, which in turn affect the direction and magnitude of disturbance influences on F</span><span>CO<sub>2</sub></span><span>. F</span><span>CO<sub>2</sub></span><span> is disturbance- and biome-type dependent, and such effects should be incorporated into earth system models to improve the projection of the feedback between the terrestrial C cycle and climate change.</span></p>
Meta-analysis shows forest soil CO2 effluxes are dependent on the disturbance regime and biome type
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Plant biomass, not plant economics traits, determines responses of soil CO2 efflux to precipitation in the C4 grass Panicum virgatum
<p>1. Plant responses to major environmental drivers like precipitation can influence important aspects of carbon (C) cycling like soil CO<sub>2</sub> efflux (J<sub>CO2</sub>). These responses may be predicted by two independent classes of drivers: plant size—larger plants respire more and produce a larger quantity of labile C, and plant economics—plants possessing more acquisitive plant economics strategies (i.e., high metabolic rate and tissue nutrient content) produce higher-quality tissue that respires rapidly and decomposes quickly.</p> <p>2. At two sites in central Texas, USA with similar climates and differing soil characteristics, we examined the response of eight <i>Panicum virgatum</i> genotypes to three annual precipitation levels defined by the driest, average, and wettest years from each site's precipitation history. We evaluated the individual and joint influence of plant genotypes and precipitation on J<sub>CO2</sub> and traits related to plant economics and plant size. We then used confirmatory path analysis to evaluate whether effects of precipitation on J<sub>CO2</sub> were in part related to effects of precipitation on plant economics traits or size ('mediated' effects).</p> <p>3. These genotypes exhibited variation in plant economics traits and aboveground net primary productivity (ANPP), an aboveground measure of plant size. Increasing precipitation increased J<sub>CO2</sub> and ANPP more than plant economics traits. At both sites, ANPP was the single best predictor of J<sub>CO2</sub>. Moreover, the sites differed in the ways that plant size and plant economics traits combined with precipitation to influence J<sub>CO2</sub>. At the Austin site, the positive effect of precipitation on J<sub>CO2</sub> was mediated primarily by ANPP, offset by a smaller effect of leaf nitrogen content; no direct precipitation effect was detected. At the Temple site, increasing precipitation had positive direct and ANPP-mediated effects on J<sub>CO2</sub>. This suggests that greater water limitation at Austin may strengthen the links between plant size and J<sub>CO2</sub>.</p> <p>4. Synthesis Estimates of C cycling can be improved by accounting for mediation of precipitation effects on J<sub>CO2</sub> by plant economics traits and plant size in resource-limited environments.</p>
Data from: Plant biomass, not plant economics traits, determines responses of soil CO2 efflux to precipitation in the C4 grass Panicum virgatum
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Data from: Multiple constraints cause positive and negative feedbacks limiting grassland soil CO2 efflux under CO2 enrichment
<p>Terrestrial ecosystems are increasingly enriched with resources such as atmospheric CO<sub>2</sub> that limit ecosystem processes. The consequences for ecosystem carbon cycling depend on the feedbacks from other limiting resources and plant community change, which remain poorly understood for soil CO<sub>2</sub> efflux, J<sub>CO2</sub>, a primary carbon flux from the biosphere to the atmosphere. We applied a unique CO<sub>2</sub> enrichment gradient (250 to 500 µL L<sup>-1</sup>) for eight years to grassland plant communities on soils from different landscape positions. We identified the trajectory of J<sub>CO2</sub> responses and feedbacks from other resources, plant diversity (effective species richness, exp(H)), and community change (plant species turnover). We found linear increases in J<sub>CO2</sub> on an alluvial sandy loam and a lowland clay soil, and an asymptotic increase on an upland silty clay soil. Structural equation modelling identified CO<sub>2</sub> as the dominant limitation on J<sub>CO2</sub> on the clay soil. In contrast with theory predicting limitation from a single limiting factor, the linear J<sub>CO2</sub> response on the sandy loam was reinforced by positive feedbacks from aboveground net primary productivity and exp(H), while the asymptotic J<sub>CO2</sub> response on the silty clay arose from a net negative feedback among exp(H), species turnover, and soil water potential. These findings support a multiple resource limitation view of the effects of global change drivers on grassland ecosystem carbon cycling and highlight a crucial role for positive or negative feedbacks between limiting resources and plant community structure. Incorporating these feedbacks will improve models of terrestrial carbon sequestration and ecosystem services.</p>
Raw data for "Overestimation of closed-chamber soil CO2 effluxes at low atmospheric turbulence"
<p>The LI-COR chamber raw data and the meteorological data used in for the paper Overestimation of closed-chamber soil CO2 effluxes at low atmospheric turbulence. </p>
Snail mucus increases the CO2 efflux of biological soil crusts
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Data from: Multiple constraints cause positive and negative feedbacks limiting grassland soil CO2 efflux under CO2 enrichment
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Data from: Contrasting fine-root production, survival and soil CO2 efflux in pine and poplar plantations
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CMS: Soil CO2 Efflux and Properties, Site Vegetation Measurements, Mexico, 2011-2012
This data set provides the results of (1) monthly measurements of soil CO2 efflux, volumetric water content, and temperature, and (2) seasonal measurements of soil (porosity, bulk density, nitrogen (N) and carbon (C) content) and vegetation (leaf area index (LAI), litter and fine root biomass) properties in a water-limited ecosystem in Baja California, Mexico. Measurements and samples were collected from August 2011 to August 2012.
ABoVE: Year-Round Soil CO2 Efflux in Alaskan Ecosystems, Version 2.1
This dataset provides soil-surface carbon dioxide (CO2) efflux derived from measurements of soil respiration with forced diffusion (FD) chambers. Soil Respiration Stations (SRS) were installed at 11 boreal and tundra sites along a broad south-to-north transect starting from near Fairbanks in interior Alaska and extending to Atqasuk in northern Alaska. Each SRS measures soil respiration and ambient atmospheric CO2 concentrations with a forced diffusion (FD) chamber to derive soil CO2 flux. The SRS also measures soil CO2 concentrations and temperatures using instrumented chambers buried at 5, 10, and 15 cm depths in the soil profile. At the highest measurement frequency, data are collected hourly, and during the lowest winter frequency, every 48 hours. The data include flux values and running median filtered values from the two or three FD chambers at each site. Soil CO2 and temperature profile data (beginning June 2017) were collected beginning 2016-08-18 through 2023-09-02. This dataset updates four sites with extended temporal coverage. As of this publication, sampling is continuing, and new data will be added as available.
Soil respiration CO2 efflux data - Telok Kurau, Singapore
<p><em>To evaluate the ability of turfgrass systems to sequester carbon in tropical cities, we deployed a flux gradient system built by solid-state CO<sub>2</sub> sensors in a residential lawn of Singapore to measure continuously the production of carbon bellow-ground and soil respiration CO<sub>2</sub> efflux for a period of almost three years (Sep 2014 to Jul 2017). The data presented here include 30-min average data of soil temperature, soil moisture and soil CO2 concentration at 2, 8 and 16 cm of depth, along with the post-processed soil efflux and carbon production.</em></p>
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