FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2081325372> ?p ?o ?g. }

• W2081325372 endingPage "260" @default.
• W2081325372 startingPage "227" @default.
• W2081325372 abstract "Regional analysis of ecosystem properties, including soil C, is a rapidly developing area of research. Regional analyses are being used to quantify existing soil C stocks, predict changes in soil C as a function of changing landuse patterns, and assess possible responses to climate change. The tools necessary for such analyses are simulation models coupled with spatially-explicit databases of vegetation, soils, topography, landuse and climate. A general framework for regional analyses which integrates models with site-specific and spatially-resolved data is described. Two classes of models are currently being used for analyses at regional scales, ecosystem-level models, which were originally designed for local scale studies, and more aggregated “macro-scale” models developed for continental and global scale applications. A consideration in applying both classes of models is the need to minimize errors associated with aggregating information to apply to coarser spatial and temporal scales. For model input data, aggregation bias is most severe for variables which enter into non-linear model functions, such as soil textural effects on organic matter decomposition and water balance or the temperature response of decomposer organisms. Aggregation of model structure also needs to be considered, particularly for macro-scale models. For example, representations of litter and soil organic matter by only one or two pools may be suitable for representing equilibrium conditions but rates of change will tend to be overestimated for transient-state conditions using highly aggregated models. Geographic soils data, derived from field surveys, are a key component for regional analyses. Issues of data quality and interpretation of soil survey data are discussed in the context of regional analyses of soil C. Areas for further development of data and modeling capabilities, including refining soil C maps, developing spatial databases on landuse and management practices, using remotely sensed data in regional model applications, and linking terrestrial ecosystem models with global climate models, are discussed." @default.
• W2081325372 created "2016-06-24" @default.
• W2081325372 creator A5023041174 @default.
• W2081325372 creator A5024685127 @default.
• W2081325372 creator A5040888953 @default.
• W2081325372 creator A5079202493 @default.
• W2081325372 date "1997-09-01" @default.
• W2081325372 modified "2023-09-27" @default.
• W2081325372 title "The use of models to integrate information and understanding of soil C at the regional scale" @default.
• W2081325372 cites W1964506140 @default.
• W2081325372 cites W1969038852 @default.
• W2081325372 cites W1974180061 @default.
• W2081325372 cites W1975271734 @default.
• W2081325372 cites W1984118740 @default.
• W2081325372 cites W1984381123 @default.
• W2081325372 cites W1984760051 @default.
• W2081325372 cites W1985417088 @default.
• W2081325372 cites W1987297716 @default.
• W2081325372 cites W1989094997 @default.
• W2081325372 cites W1993818285 @default.
• W2081325372 cites W2004380929 @default.
• W2081325372 cites W2005310724 @default.
• W2081325372 cites W2006021258 @default.
• W2081325372 cites W2009739358 @default.
• W2081325372 cites W2010036012 @default.
• W2081325372 cites W2013041530 @default.
• W2081325372 cites W2018672425 @default.
• W2081325372 cites W2020377743 @default.
• W2081325372 cites W2022121008 @default.
• W2081325372 cites W2022349091 @default.
• W2081325372 cites W2022935059 @default.
• W2081325372 cites W2024415358 @default.
• W2081325372 cites W2026680601 @default.
• W2081325372 cites W2035741722 @default.
• W2081325372 cites W2036706101 @default.
• W2081325372 cites W2039088888 @default.
• W2081325372 cites W2043986368 @default.
• W2081325372 cites W2044909362 @default.
• W2081325372 cites W2046333037 @default.
• W2081325372 cites W2050587193 @default.
• W2081325372 cites W2051144184 @default.
• W2081325372 cites W2052289430 @default.
• W2081325372 cites W2055734029 @default.
• W2081325372 cites W2055833935 @default.
• W2081325372 cites W2056447651 @default.
• W2081325372 cites W2059290031 @default.
• W2081325372 cites W2060362624 @default.
• W2081325372 cites W2061936519 @default.
• W2081325372 cites W2062954533 @default.
• W2081325372 cites W2063153039 @default.
• W2081325372 cites W2068873665 @default.
• W2081325372 cites W2070413911 @default.
• W2081325372 cites W2070420656 @default.
• W2081325372 cites W2071312282 @default.
• W2081325372 cites W2074416151 @default.
• W2081325372 cites W2075435753 @default.
• W2081325372 cites W2079520989 @default.
• W2081325372 cites W2081897114 @default.
• W2081325372 cites W2085604890 @default.
• W2081325372 cites W2086456744 @default.
• W2081325372 cites W2087204539 @default.
• W2081325372 cites W2087883012 @default.
• W2081325372 cites W2090772144 @default.
• W2081325372 cites W2095306281 @default.
• W2081325372 cites W2097683726 @default.
• W2081325372 cites W2105756833 @default.
• W2081325372 cites W2107374665 @default.
• W2081325372 cites W2108778488 @default.
• W2081325372 cites W2117329279 @default.
• W2081325372 cites W2121323878 @default.
• W2081325372 cites W2135902118 @default.
• W2081325372 cites W2136036783 @default.
• W2081325372 cites W2152422230 @default.
• W2081325372 cites W2152865972 @default.
• W2081325372 cites W2156731172 @default.
• W2081325372 cites W2157419101 @default.
• W2081325372 cites W2162066644 @default.
• W2081325372 cites W2167288255 @default.
• W2081325372 cites W2167891208 @default.
• W2081325372 cites W2169509889 @default.
• W2081325372 cites W2254100412 @default.
• W2081325372 cites W2319278597 @default.
• W2081325372 cites W4232397435 @default.
• W2081325372 cites W4238925435 @default.
• W2081325372 cites W4252373135 @default.
• W2081325372 doi "https://doi.org/10.1016/s0016-7061(97)00043-8" @default.
• W2081325372 hasPublicationYear "1997" @default.
• W2081325372 type Work @default.
• W2081325372 sameAs 2081325372 @default.
• W2081325372 citedByCount "148" @default.
• W2081325372 countsByYear W20813253722012 @default.
• W2081325372 countsByYear W20813253722013 @default.
• W2081325372 countsByYear W20813253722014 @default.
• W2081325372 countsByYear W20813253722015 @default.
• W2081325372 countsByYear W20813253722016 @default.
• W2081325372 countsByYear W20813253722017 @default.
• W2081325372 countsByYear W20813253722018 @default.
• W2081325372 countsByYear W20813253722019 @default.

• next