{"type": "FeatureCollection", "features": [{"id": "10.1111/j.1365-2486.2004.00883.x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:19:30Z", "type": "Journal Article", "created": "2004-12-02", "title": "Carbon Flow In An Upland Grassland: Effect Of Liming On The Flux Of Recently Photosynthesized Carbon To Rhizosphere Soil", "description": "Abstract<p>The effect of liming on the flow of recently photosynthesized carbon to rhizosphere soil was studied using 13CO2 pulse labelling, in an upland grassland ecosystem in Scotland. The use of 13C enabled detection, in the field, of the effect of a 4\uffe2\uff80\uff90year liming period of selected soil plots on C allocation from plant biomass to soil, in comparison with unlimed plots. Photosynthetic rates and carbon turnover were higher in plants grown in limed soils than in those from unlimed plots. Higher \uffce\uffb413C\uffe2\uff80\uffb0 values were detected in shoots from limed plants than in those from unlimed plants in samples clipped within 15 days of the end of pulse labelling. Analysis of the aboveground plant production corresponding to the 4\uffe2\uff80\uff90year period of liming indicated that the standing biomass was higher in plots that received lime. Lower \uffce\uffb413C\uffe2\uff80\uffb0 values in limed roots compared with unlimed roots were found, whereas no significant difference was detected between soil samples. Extrapolation of our results indicated that more C has been lost through the soil than has been gained via photosynthetic assimilation because of pasture liming in Scotland during the period 1990\uffe2\uff80\uff931998. However, the uncertainty associated with such extrapolation based on this single study is high and these estimates are provided only to set our findings in the broader context of national soil carbon emissions.</p>", "keywords": ["2. 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These methodologies were intended for use at large spatial scales. This can introduce error in predictions at finer spatial scales. There is an urgent need for development and implementation of higher tier methodologies that can be applied at fine spatial scales (e.g. farm/project/plantation) for food and bioenergy crop greenhouse gas (GHG) accounting to facilitate decision making in the land\uffe2\uff80\uff90based sectors. Higher tier methods have been defined by IPCC and must be well evaluated and operate across a range of domains (e.g. climate region, soil type, crop type, topography), and must account for land use transitions and management changes being implemented. Furthermore, the data required to calibrate and drive the models used at higher tiers need to be available and applicable at fine spatial resolution, covering the meteorological, soil, cropping system and management domains, with quantified uncertainties. Testing the reliability of the models will require data either from sites with repeated measurements or from chronosequences. We review current global capability for estimating changes in soil carbon at fine spatial scales and present a vision for a framework capable of quantifying land use change and management impacts on soil carbon, which could be used for addressing issues such as bioenergy and biofuel sustainability, food security, forest protection, and direct/indirect impacts of land use change. The aim of this framework is to provide a globally accepted standard of carbon measurement and modelling appropriate for GHG accounting that could be applied at project to national scales (allowing outputs to be scaled up to a country level), to address the impacts of land use and land management change on soil carbon.</p>", "keywords": ["land use change", "Environmental Impact Assessment", "550", "ecosystem model", "Carbon Sequestration Science", "01 natural sciences", "7. 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