{"type": "FeatureCollection", "features": [{"id": "10.1016/j.agee.2007.01.008", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:15:32Z", "type": "Journal Article", "created": "2007-02-10", "title": "Predicted Soil Organic Carbon Stocks And Changes In The Brazilian Amazon Between 2000 And 2030", "description": "Abstract   Currently we have little understanding of the impacts of land use change on soil C stocks in the Brazilian Amazon. Such information is needed to determine impacts on the global C cycle and the sustainability of agricultural systems that are replacing native forest. The aim of this study was to predict soil carbon stocks and changes in the Brazilian Amazon during the period between 2000 and 2030, using the GEFSOC soil carbon (C) modelling system. In order to do so, we devised current and future land use scenarios for the Brazilian Amazon, taking into account: (i) deforestation rates from the past three decades, (ii) census data on land use from 1940 to 2000, including the expansion and intensification of agriculture in the region, (iii) available information on management practices, primarily related to well managed pasture versus degraded pasture and conventional systems versus no-tillage systems for soybean ( Glycine max ) and (iv) FAO predictions on agricultural land use and land use changes for the years 2015 and 2030. The land use scenarios were integrated with spatially explicit soils data (SOTER database), climate, potential natural vegetation and land management units using the recently developed GEFSOC soil C modelling system. Results are presented in map, table and graph form for the entire Brazilian Amazon for the current situation (1990 and 2000) and the future (2015 and 2030). Results include soil organic C (SOC) stocks and SOC stock change rates estimated by three methods: (i) the Century ecosystem model, (ii) the Rothamsted C model and (iii) the intergovernmental panel on climate change (IPCC) method for assessing soil C at regional scale. In addition, we show estimated values of above and belowground biomass for native vegetation, pasture and soybean. The results on regional SOC stocks compare reasonably well with those based on mapping approaches. The GEFSOC system provided a means of efficiently handling complex interactions among biotic-edapho-climatic conditions (>363,000 combinations) in a very large area (\u223c500\u00a0Mha) such as the Brazilian Amazon. All of the methods used showed a decline in SOC stock for the period studied; Century and RothC simulated values for 2030 being about 7% lower than those in 1990. Values from Century and RothC (30,430 and 25,000\u00a0Tg for the 0\u201320\u00a0cm layer for the Brazilian Amazon region were higher than those obtained from the IPCC system (23,400\u00a0Tg in the 0\u201330\u00a0cm layer). Finally, our results can help understand the major biogeochemical cycles that influence soil fertility and help devise management strategies that enhance the sustainability of these areas and thus slow further deforestation.", "keywords": ["land use change", "2. Zero hunger", "clay loam acrisol", "550", "330", "no-tillage", "cropping systems", "04 agricultural and veterinary sciences", "Brazilian Amazon", "regional-scale", "15. Life on land", "matter dynamics", "soil organic carbon", "land-use change", "long-term experiments", "southern brazil", "tropical deforestation", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "regional estimates", "eastern amazonia"]}, "links": [{"href": "https://doi.org/10.1016/j.agee.2007.01.008"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agriculture%2C%20Ecosystems%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agee.2007.01.008", "name": "item", "description": "10.1016/j.agee.2007.01.008", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2007.01.008"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-09-01T00:00:00Z"}}, {"id": "10.1111/j.1365-2486.2012.02689.x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:19:35Z", "type": "Journal Article", "created": "2012-03-08", "title": "Towards An Integrated Global Framework To Assess The Impacts Of Land Use And Management Change On Soil Carbon: Current Capability And Future Vision", "description": "Abstract<p>Intergovernmental Panel on Climate Change (IPCC) Tier 1 methodologies commonly underpin project\uffe2\uff80\uff90scale carbon accounting for changes in land use and management and are used in frameworks for Life Cycle Assessment and carbon footprinting of food and energy crops. 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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