Comparison of regression coefficient and GIS-based methodologies for regional estimates of forest soil carbon stocks

Environmental Pollution

Volumn 152, Issue 2, 2008, Pages 267-273

  Elliott Campbell, J ^a   Moen, Jeremie C ^a   Ney, Richard A ^b   Schnoor, Jerald L ^a  

^a UNIVERSITY OF IOWA   (United States)

^b Sebesta Blomberg   (United States)

Author keywords

Carbon cycle; FIA; Forest models; Sequestration; Soil carbon; STATSGO

Indexed keywords

FORESTRY; GEOGRAPHIC INFORMATION SYSTEMS; REGRESSION ANALYSIS; SOILS;

CARBON CYCLES; SOIL CARBON; SOIL QUALITY;

CARBON;

ALGORITHM; CARBON CYCLE; CARBON SEQUESTRATION; COMPARATIVE STUDY; DATABASE; ECOLOGICAL MODELING; EMISSION INVENTORY; GIS; GREENHOUSE GAS; LAND COVER; REGRESSION ANALYSIS; SATELLITE IMAGERY; SOIL CARBON; SOIL ORGANIC MATTER;

ALGORITHM; ARTICLE; ARTIFACT REDUCTION; CARBON SEQUESTRATION; COMPARATIVE STUDY; CORRELATION COEFFICIENT; DATA BASE; FOREST SOIL; GEOGRAPHIC INFORMATION SYSTEM; REGRESSION ANALYSIS; SOIL QUALITY; TECHNOLOGY; TELECOMMUNICATION; UNITED STATES;

BIOMASS; CARBON; DATABASES, FACTUAL; ENVIRONMENTAL MONITORING; GEOGRAPHIC INFORMATION SYSTEMS; GREENHOUSE EFFECT; MODELS, STATISTICAL; REGRESSION ANALYSIS; SOIL; TIME; TREES;

CARBON; CHELATION; FORESTS; GIS; REGRESSION ANALYSIS; SOIL;

NORTH AMERICA; UNITED STATES; WISCONSIN;

EID: 39749194393     PISSN: 02697491     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envpol.2007.06.057     Document Type: Article

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