FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2096676331> ?p ?o ?g. }

• W2096676331 endingPage "12" @default.
• W2096676331 startingPage "3" @default.
• W2096676331 abstract "Soil organic carbon (SOC) plays a vital role in ecosystem function, determining soil fertility, water holding capacity and susceptibility to land degradation. In addition, SOC is related to atmospheric CO2 levels with soils having the potential for C release or sequestration, depending on land use, land management and climate. The United Nations Convention on Climate Change and its Kyoto Protocol, and other United Nations Conventions to Combat Desertification and on Biodiversity all recognize the importance of SOC and point to the need for quantification of SOC stocks and changes. An understanding of SOC stocks and changes at the national and regional scale is necessary to further our understanding of the global C cycle, to assess the responses of terrestrial ecosystems to climate change and to aid policy makers in making land use/management decisions. Several studies have considered SOC stocks at the plot scale, but these are site specific and of limited value in making inferences about larger areas. Some studies have used empirical methods to estimate SOC stocks and changes at the regional scale, but such studies are limited in their ability to project future changes, and most have been carried out using temperate data sets. The computational method outlined by the Intergovernmental Panel on Climate Change (IPCC) has been used to estimate SOC stock changes at the regional scale in several studies, including a recent study considering five contrasting eco regions. This ‘one step’ approach fails to account for the dynamic manner in which SOC changes are likely to occur following changes in land use and land management. A dynamic modelling approach allows estimates to be made in a manner that accounts for the underlying processes leading to SOC change. Ecosystem models, designed for site scale applications can be linked to spatial databases, giving spatially explicit results that allow geographic areas of change in SOC stocks to be identified. Some studies have used variations on this approach to estimate SOC stock changes at the sub-national and national scale for areas of the USA and Europe and at the watershed scale for areas of Mexico and Cuba. However, a need remained for a national and regional scale, spatially explicit system that is generically applicable and can be applied to as wide a range of soil types, climates and land uses as possible. The Global Environment Facility Soil Organic Carbon (GEFSOC) Modelling System was developed in response to this need. The GEFSOC system allows estimates of SOC stocks and changes to be made for diverse conditions, providing essential information for countries wishing to take part in an emerging C market, and bringing us closer to an understanding of the future role of soils in the global C cycle." @default.
• W2096676331 created "2016-06-24" @default.
• W2096676331 creator A5000842058 @default.
• W2096676331 creator A5002460562 @default.
• W2096676331 creator A5004916503 @default.
• W2096676331 creator A5006700374 @default.
• W2096676331 creator A5007708789 @default.
• W2096676331 creator A5009097733 @default.
• W2096676331 creator A5024685127 @default.
• W2096676331 creator A5028298482 @default.
• W2096676331 creator A5031296259 @default.
• W2096676331 creator A5033755094 @default.
• W2096676331 creator A5036342547 @default.
• W2096676331 creator A5038364693 @default.
• W2096676331 creator A5045879244 @default.
• W2096676331 creator A5046389239 @default.
• W2096676331 creator A5047457178 @default.
• W2096676331 creator A5052467180 @default.
• W2096676331 creator A5060778058 @default.
• W2096676331 creator A5067831819 @default.
• W2096676331 creator A5076517414 @default.
• W2096676331 creator A5078780592 @default.
• W2096676331 creator A5078952063 @default.
• W2096676331 date "2007-09-01" @default.
• W2096676331 modified "2023-10-10" @default.
• W2096676331 title "National and sub-national assessments of soil organic carbon stocks and changes: The GEFSOC modelling system" @default.
• W2096676331 cites W1218661387 @default.
• W2096676331 cites W1592782764 @default.
• W2096676331 cites W1630902002 @default.
• W2096676331 cites W1981995341 @default.
• W2096676331 cites W1988608675 @default.
• W2096676331 cites W1989157390 @default.
• W2096676331 cites W1990661576 @default.
• W2096676331 cites W2000852547 @default.
• W2096676331 cites W2004380929 @default.
• W2096676331 cites W2012784968 @default.
• W2096676331 cites W2013840199 @default.
• W2096676331 cites W2018672425 @default.
• W2096676331 cites W2031814227 @default.
• W2096676331 cites W2035812798 @default.
• W2096676331 cites W2041076013 @default.
• W2096676331 cites W2049198025 @default.
• W2096676331 cites W2050587193 @default.
• W2096676331 cites W2052289430 @default.
• W2096676331 cites W2053699580 @default.
• W2096676331 cites W2060201736 @default.
• W2096676331 cites W2066359438 @default.
• W2096676331 cites W2070420656 @default.
• W2096676331 cites W2073008337 @default.
• W2096676331 cites W2073017030 @default.
• W2096676331 cites W2074862013 @default.
• W2096676331 cites W2077836873 @default.
• W2096676331 cites W2080537593 @default.
• W2096676331 cites W2081325372 @default.
• W2096676331 cites W2086456744 @default.
• W2096676331 cites W2087883012 @default.
• W2096676331 cites W2089721784 @default.
• W2096676331 cites W2105722089 @default.
• W2096676331 cites W2108778488 @default.
• W2096676331 cites W2137999134 @default.
• W2096676331 cites W2145174872 @default.
• W2096676331 cites W2148467068 @default.
• W2096676331 cites W2157462758 @default.
• W2096676331 cites W2264692428 @default.
• W2096676331 cites W4231864045 @default.
• W2096676331 cites W4235854130 @default.
• W2096676331 cites W4237497700 @default.
• W2096676331 cites W4240928445 @default.
• W2096676331 doi "https://doi.org/10.1016/j.agee.2007.01.002" @default.
• W2096676331 hasPublicationYear "2007" @default.
• W2096676331 type Work @default.
• W2096676331 sameAs 2096676331 @default.
• W2096676331 citedByCount "97" @default.
• W2096676331 countsByYear W20966763312012 @default.
• W2096676331 countsByYear W20966763312013 @default.
• W2096676331 countsByYear W20966763312014 @default.
• W2096676331 countsByYear W20966763312016 @default.
• W2096676331 countsByYear W20966763312017 @default.
• W2096676331 countsByYear W20966763312018 @default.
• W2096676331 countsByYear W20966763312019 @default.
• W2096676331 countsByYear W20966763312020 @default.
• W2096676331 countsByYear W20966763312021 @default.
• W2096676331 countsByYear W20966763312022 @default.
• W2096676331 countsByYear W20966763312023 @default.
• W2096676331 crossrefType "journal-article" @default.
• W2096676331 hasAuthorship W2096676331A5000842058 @default.
• W2096676331 hasAuthorship W2096676331A5002460562 @default.
• W2096676331 hasAuthorship W2096676331A5004916503 @default.
• W2096676331 hasAuthorship W2096676331A5006700374 @default.
• W2096676331 hasAuthorship W2096676331A5007708789 @default.
• W2096676331 hasAuthorship W2096676331A5009097733 @default.
• W2096676331 hasAuthorship W2096676331A5024685127 @default.
• W2096676331 hasAuthorship W2096676331A5028298482 @default.
• W2096676331 hasAuthorship W2096676331A5031296259 @default.
• W2096676331 hasAuthorship W2096676331A5033755094 @default.
• W2096676331 hasAuthorship W2096676331A5036342547 @default.
• W2096676331 hasAuthorship W2096676331A5038364693 @default.
• W2096676331 hasAuthorship W2096676331A5045879244 @default.

• next