Reducing standard errors by incorporating spatial autocorrelation into a measurement scheme for soil carbon credits The science, technology and economics of soil carbon sequestration for mitigation of greenhouse gases

• Published in: Climatic change Vol. 80; no. 1-2; pp. 55 - 72
• Main Authors: MOONEY, Sian, GEROW, Ken, ANTLE, John, CAPALBO, Susan, PAUSTIAN, Keith
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer 2007
• Subjects: Agricultural economics; Agronomy. Soil science and plant productions; Animal, plant and microbial ecology; Applied ecology; Biological and medical sciences; Chemical, physicochemical, biochemical and biological properties; Environment and sustainable development; Fundamental and applied biological sciences. Psychology; Generalities. Biometrics, experimentation. Remote sensing; Organic matter; Physics, chemistry, biochemistry and biology of agricultural and forest soils; Soil science; Montana; United States; America; North America; Environment economy; Error analysis; Scheme; Standard error; Sampling design; Mathematical economy; Credit; Greenhouse gas; Geostatistics; Cropping system; Spatial analysis; Statistical estimation; Agricultural soil; Agricultural economics; Carbon; Carbon sequestration; Confidence interval; Statistical method; Soils; Payment; Transaction cost; Applied mathematics; Dry farming; Measurement method; Econometrics; Autocorrelation; Computing method
• ISSN: 0165-0009; 1573-1480