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69 results for “carbon removal”
Data from: Effect of lianas on forest-level tree carbon accumulation does not differ between seasons: results from a liana removal experiment in Panama
1. Lianas are prevalent in Neotropical forests, where liana-tree competition can be intense, resulting in reduced tree growth and survival. The ability of lianas to grow relative to trees during the dry season suggests that liana-tree competition is also strongest in the dry season. If correct, the predicted intensification of the drying trend over large areas of the tropics in the future may therefore intensify liana-tree competition, resulting in a reduced carbon sink function of tropical forests. However, no study has established whether the liana effect on tree carbon accumulation is indeed stronger in the dry than in the wet season. 2. Using six years of data from a large-scale liana removal experiment in Panama, we provide the first experimental test of whether liana effects on tree carbon accumulation differ between seasons. We monitored tree and liana diameter increments at the beginning of the dry and wet season each year to assess seasonal differences in forest-level carbon accumulation between removal and control plots. 3. We found that median liana carbon accumulation was consistently higher in the dry ( 0.52 Mg C ha-1 yr-1) than the wet season (0.36 Mg C ha-1 yr-1), and significantly so in three of the years. Lianas reduced forest-level median tree carbon accumulation more severely in the wet (1.45 Mg C ha-1 yr-1) than the dry (1.05 Mg C ha-1 yr-1) season in all years. However, the relative effect of lianas was similar between the seasons, with lianas reducing forest-level tree carbon accumulation by 46.9% in the dry and 48.5% in the wet season. 4. Synthesis: Our results provide the first experimental demonstration that lianas do not have a stronger competitive effect on tree carbon accumulation during the dry season. Instead, lianas compete significantly with trees during both seasons, indicating a large negative effect of lianas on forest-level tree biomass increment regardless of seasonal water stress. Longer dry seasons are unlikely to impact liana-tree competition directly; however, the greater liana biomass increment during dry seasons may lead to further proliferation of liana biomass in tropical forests, with consequences for their ability to store and sequester carbon.
Carbon dioxide removal technologies are not born equal
<p>Update of datasets generated and analysed in this study and R script for producing figures from the main text and the SI. This update does not change any results, it is only to match the scenario names and variable categories as they have been uploaded to the AR6 database.</p> <p>We also provide additional data.</p>
LULC input and CLM5 carbon output "Chemistry-albedo feedbacks offset up to a third of forestation's CO2 removal benefits."
<p>Land use land cover (LULC) files for the CESM and UKESM simulations performed for the study "Chemistry-albedo feedbacks from reforestation reduce climate benefits and crop yields. The input data was processed to make it compatible for UKESM as described in Weber et al (2022) https://doi.org/10.5194/egusphere-2022-748.</p>
Soil, litter and vegetation carbon for the 6 simulations performed in CLM5 of "Chemistry-albedo feedbacks offset up to a third of forestation's CO2 removal benef"
<p>Soil, litter and vegetation carbon for the 6 simulations performed in CLM5 (Table S1) of "Chemistry-albedo feedbacks from reforestation reduce climate benefits and crop yields"</p> <p>i.clm5.global_MF_SSP1.h1.2015-2100_zip.nc - SSP126_MF_Land</p> <p>i.clm5.global_SSP1_nolulcc.clm2.h1.2015-2100_zip.nc - SSP126_2015_Land </p> <p>i.clm5.global_SSP1.h1.2015-2100_zip.nc - SSP126_Land</p> <p>i.clm5.global_MF_SSP3.02.h1.2015-2100_zip.nc - SSP370_MF_Land</p> <p>i.clm5.global_SSP3.02.h1.2015-2100_zip.nc - SSP370_Land</p> <p>i.clm5.global_SSP3_nolulcc.clm2.h1.2015-2100_zip.nc - SSP370_2015_Land</p> <p> </p> <p>These simulations were performed by Dr James King, University of Sheffield.</p> <p> </p>
A comparison of the climate and carbon cycle effects of carbon removal by Afforestation and Reduction of Fossil fuel emissions
<p>This dataset is for the journal article titled "A comparison of the climate and carbon cycle effects of carbon removal by Afforestation and Reduction of Fossil fuel emissions".</p>
Contrasting carbon dioxide removal potential and nutrient feedbacks of simulated ocean alkalinity enhancement and macroalgae afforestation
<p>PISCES model outputs supporting the associated publication.</p> <p>Files are for the following simulations: historical control (CTL), OAE without nutrient addition (OAE), OAE with nutrient addition (OAE_Fe_Si), macroalgae afforestation without nutrient feedbacks (MACRO) and macroalgae afforestation with nutrient feedbacks (MACRO_N_P). The following outputs are provided at monthly resolution: air-sea carbon flux (Cflx), export flux at 100m (EPC100) and depth integrated net primary production of phytoplankton (INTPP). In addition masks of the regions of OAE (mask_OAE) and macroalgae afforestation (mask_MACRO) are provided. All files have been regridded from the original eORCA025 grid to a regular 360x180 degree grid.</p>
Code and data in support of: Uncertainty in determining carbon dioxide removal potential of biochar
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Data from: Effect of lianas on forest-level tree carbon accumulation does not differ between seasons: results from a liana removal experiment in Panama
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Woody debris removal modifies carbon stocks and soil properties in a fragmented tropical rainforest
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Large global variations in the carbon dioxide removal potential of seaweed farming due to biophysical constraints
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Data from "Removal of grazers alters the response of tundra soil carbon to warming and enhanced nitrogen availability", Ecological Monograps in October 2019
<p>Here we present the data used in the manuscript "<em>Removal of grazers alters the response of tundra soil carbon to warming and enhanced nitrogen availability</em>", Ecological Monograps, Early view in October 2019 by H. Ylänne, E. Kaarlejärvi, M. Väisänen, M. K. Männistö, S. H. K. Ahonen, J. Olofsson & S. Stark. In this paper we studied, how five years of experimental warming and increased soil nitrogen availability interact with both long- and short-term differences in grazing intensity in shaping ecosystem carbon stocks and the processes underlying the changes. We used an over 50-year-old reindeer fence that separates a lightly grazed shrub-dominated tundra from a heavily grazed graminoid-dominated tundra, where the different grazing histories on the two sides of the fences have created different ecosystem states. In addition to the long-term grazing difference, we also established short-term grazer exclosures on the heavily grazed side of the fence to account for the effect of a sudden grazing cessation.</p> <p>This file includes data of ecosystem carbon stocks, soil properties, and fungal and bacterial copy numbers. It also provides data on development of the vegetation through the course of the experiment (2010-2014) and presents the activities of six extracellular enzymes measured on three occasions in 2013.</p>
Data from: Carbon isotopes of C3 herbs correlate with temperature on removing the influence of precipitation across a temperature transect in the agro-pastoral ecotone of Northern China
Plant δ13C–temperature (δ-T) relation has been established in many systems and is often used as paleotemperature transfer function. However, it is still unclear about the exact contributions of temperature variation to plant 13C discrimination because of covariation between temperature and precipitation (aridity), which reduces confidence in reconstruction of paleoclimate. In this study, we measured carbon isotope composition (δ13C) of 173 samples of C3 perennial herbs from 22 sites across a temperature gradient along the 400 mm isohyet in the farming-pastoral zone of North China. The results showed that precipitation obviously affected the correlations of temperatures and foliar δ13C. After removing the influence of precipitation by analysis of covariance (ANCOVA), a more strongly positive relationship was obtained between site-mean foliar δ13C and annual mean temperature (AMT), with a regression coefficient of 0.1636‰/°C (p = .0024). For widespread species, Artemisia lavandulaefolia and Artemisia capillaries, the slopes (or coefficients) of foliar δ13C and AMT were significantly steeper (larger) than those of foliar δ13C and AMT where the precipitation influence was not excluded, whereas the δ-T coefficients of Polygonum persicaria and Leymus chinensis showed little change across the transect after deducting the precipitation effect. Moreover, the positive relationship between temperature and δ13C over the transect could be explained by soil moisture availability related to temperature. Our results may afford new opportunities for investigating the nature of past climate variability.
Data on the demographics of public preferences for ten carbon removal and solar geoengineering interventions in 30 countries
<p><span>Data used in the analysis for 'The demographics of public preferences for ten carbon removal and solar geoengineering interventions in 30 countries' in the academic journal <em>Communications Earth and Environment.</em></span></p>
Provincial-Level Assessment of Carbon Dioxide Removal to Meet China's 2060 Carbon Neutrality Goal
<p>20240827_Provincial-Level Assessment of Carbon Dioxide Removal to Meet China's 2060 Carbon Neutrality Goal manuscript scenario Input xmls, output data, data processing code, Figures, figure generation code.</p> <p> </p> <p>Fig2 revised version</p>
Bering10K BEST_NPZ ROMS model: Carbon dioxide removal simulation output
<p>This dataset accompanies our manuscript:</p> <p>Wang H, Pilcher DJ, Kearney KA, Cross JN, Shugart OM, Eisaman MD, Carter BR. Simulated impact of ocean alkalinity enhancement on atmospheric CO2 removal in the Bering Sea. Submitted to Earth's Future, in review</p> <p>The dataset includes selected output variables (temperature, salinity, and carbonate system variables) from two 10-year simulations of the Bering10K ROMS application with BEST_NPZ biogeochemistry. The simulations represent a control run and a point source alkalinity enhancement; see paper for further details. The source code used to run this this simulation is available on Github (https://github.com/beringnpz/roms-bering-sea) and archived at DOI: 10.5281/zenodo.7062782.</p>
Carbon Dioxide Removal Company Announcements
<p>Dataset of publicly announced ambitions for carbon dioxide removal from CDR companies from 2024 - 2050. Data was collected and cleaned from September 2023 - December 2023. </p> <p> </p> <p>For more details on the dataset, refer to README page of Excel sheet.</p>
Characterization of TiO2Post-Anthesis Male Flower Palm Oil Activate Carbon Composite as Removal of Methylene Blue
<p>This material has presented on 2nd International Conference on Advanced Research in Engineering and Technology in October 25, 2023.</p>
Data used in the paper Sensitivity of wintertime Arctic black carbon to removal processes and regional Alaskan sources by Ioannidis et al. 2024
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Alternative carbon price trajectories can avoid excessive carbon removal
<p>This package contains an update of the data and plot routines used in preparation for the paper "Alternative carbon price trajectories can avoid excessive carbon removal" by Jessica Strefler et al.</p> <p>This update does not change results, it is only to match the scenario names and variable categories as they have been uploaded to the AR6 database.</p>
The policy implications of an uncertain carbon dioxide removal potential: supporting data
<p>Supporting data for manuscript 'The policy implications of an uncertain carbon dioxide removal potential ', published in Joule. The full manuscript is accessible at https://doi.org/10.1016/j.joule.2021.09.004</p>
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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.