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6 results for “Terrestrial Carbon Cycle”
Consequences of non-random tree species loss on litter mass loss, nutrient dynamics, carbon cycling, and decomposer communities across a terrestrial-aquatic interface at Coweeta Hydrologic Lab, Otto, NC
Although litter decomposition is a fundamental ecological process, most of our understanding comes from studies of single-species decay. Recently, litter-mixing studies have tested whether monoculture data can be applied to mixed-litter systems. These studies have mainly attempted to detect non-additive effects of litter mixing, which address potential consequences of random species loss. The focus is not on which species are lost, but the decline in diversity per se. Under global change, species loss is likely to be non-random, with some species more vulnerable to extinction than others. Under such scenarios, the effects of individual species (additivity) as well as of species interactions (non-additivity) on decomposition rates are of interest. To examine potential impacts of non-random species loss on ecosystems, we studied additive and non-additive effects of litter mixing on decomposition. A full-factorial litterbag experiment was conducted using four deciduous leaf species, from which mass loss and nitrogen content were measured. Data were analysed using a statistical approach that first looks for additive identity effects based on the presence or absence of species and then significant species interactions occurring beyond those. It partitions non-additive effects into those caused by richness and or composition.
Viskari et al. (2019) The influence of canopy radiation parameter uncertainty on model projections of terrestrial carbon and energy cycling
<p>Zenodo DOI release for permanent archiving outside of GitHub</p>
Processed Data for Short Gianotti et al., "Two Sub-Annual Time-Scales and Coupling Modes for Terrestrial Water and Carbon Cycles" (2024), Global Change Biology.
<p>These files include all data used to create Figures in Short Gianotti et al., "Two Sub-Annual Time-Scales and Coupling Modes for Terrestrial Water and Carbon Cycles" (2024), Global Change Biology. Raw data provenances and methodological processing are cited in the published manuscript.</p> <p>See README file for metadata information.</p>
Precipitation manipulation and terrestrial carbon cycle: the roles of treatment magnitude, experimental duration, and background climate
<p><b>Aim: </b><a name="_Hlk62140683">Precipitation manipulation experiments have shown diverse terrestrial carbon (C) cycling responses when the ecosystem is subjected to different magnitudes of altered precipitation, various experimental durations, or heterogeneity in local climates. However, how these factors combine to affect C cycle responses to changes in precipitation remains unclear.</a></p> <p><b>Location</b>: Global.</p> <p><b>Time period</b>: 1990–2019.</p> <p><b>Major taxa studied</b>: Terrestrial ecosystems.</p> <p><b>Methods</b>: Using observations from 230 published studies in which precipitation was manipulated and terrestrial C cycling variables were measured, we conducted a global meta-analysis to investigate responses of diverse C cycle processes to altered precipitation, including gross ecosystem productivity, ecosystem respiration, net ecosystem productivity, ecosystem carbon use efficiency, net primary productivity, aboveground and belowground net primary productivity, aboveground and belowground biomass, shoot:root ratio, soil respiration, and soil microbial biomass C.</p> <p><b>Results</b>: <a name="_Hlk50913646"></a><a name="_Hlk62140761">We found that C cycling responses correlated linearly and positively with the magnitude of precipitation treatments, in that C cycling variables increased under increased precipitation, and decreased under decreased precipitation. </a>We also detected that the responses of net primary productivity (NPP) and its aboveground component (ANPP) to altered precipitation weakened with experimental duration. Furthermore, gross ecosystem productivity, ecosystem respiration, and net ecosystem productivity had larger responses to precipitation treatments of greater magnitude over shorter time periods. The response of soil respiration, a key component of the C budget in most terrestrial ecosystems, particularly depended on the background climate. Local temperature and precipitation not only influenced the magnitude of the response of soil respiration to altered precipitation but also affected its sensitivity to the magnitude of the precipitation treatments, with higher sensitivities in the response of soil respiration to treatment magnitude at drier and colder sites.</p> <p><b>Main conclusions</b>: <a name="_Hlk62140806">Our findings highlight the importance of the interactions between the magnitude of precipitation treatments, their duration, and local climate in the response of ecosystem C cycling to precipitation, which is critical to better understanding and projecting ecosystem C processes and functioning under changing precipitation regimes.</a></p>
Simulations for impacts of large-scale Saharan solar farms on the global terrestrial carbon cycle
<p>Four experiments were conducted to investigate the impact of a large scale Saharan solar farm on the global carbon cycle. Here a fully coupled Earth System model (ESM) EC-Earth was used to investigate the impact of a Saharan solar farm on the terrestrial carbon cycle, simulated with prescribed reduced surface albedo approximating the albedo effect of Photovoltaic (PV) solar panels over the Sahara desert. These experiments considered solar panel coverage at 5, 20 or 50% of a region of the Sahara Desert. The dataset contains selected output data from the simulations. Simulations were run for 200 years. The last 60 years were used for analysis after the model reached an equilibrium. </p> <p>The dataset contains Earth system model results from EC-Earth3 presented in the study by Power et al. (2023).</p>
Precipitation manipulation and terrestrial carbon cycling: the roles of treatment magnitude, experimental duration, and local climate
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.