Skip to main content
ARS Home » Plains Area » Las Cruces, New Mexico » Range Management Research » Research » Publications at this Location » Publication #152498

Title: TOP-DOWN VS. BOTTOM-UP: ALTERNATIVE, COMPLEMENTARY SCALING APPROACHES

Author
item COUGHENOUR, MICHAEL - COLORADO STATE UNIVERSITY
item PIELKE, ROGER - COLORADO STATE UNIVERSITY

Submitted to: Ecological Society of America Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: 8/4/2002
Publication Date: 8/4/2002
Citation: COUGHENOUR, M., PIELKE, R., GOSLEE, S.C. TOP-DOWN VS. BOTTOM-UP: ALTERNATIVE, COMPLEMENTARY SCALING APPROACHES. 87TH ANNUAL MEETING, ECOLOGICAL SOCIETY OF AMERICA. 2002. ABSTRACT P. 14.

Interpretive Summary:

Technical Abstract: Many ecologists measure ecosystem processes and characteristics over a small area and then extrapolate to a larger spatial extent (bottom-up scaling). Others use tools such as global circulation models to study processes over an extremely large region and then use those results at finer spatial scales (top-down scaling). Since most ecological management takes place at the landscape scale, it is essential to understand how both finer and coarser processes function at that level. We discuss applications of bottom-up and top-down scaling and illustrate general recommendations and specific pitfalls, emphasizing the similarities between the two approaches. Examples are given of the use and misuse of downscaling large-scale atmospheric data for use as input to vegetation and biogeochemical models. Top-down scaling is also used to apply data from global vegetation models to scales at which management decisions are made. Bottom-up scaling is required to aggregate land surface heterogeneities for use in describing fluxes into and out of the atmosphere and for extrapolating vegetation data from sampling plots to larger areas. Both scaling up and scaling down are needed to understand ecosystem functions at the landscape scale so that we can make accurate predictions and effective management decisions.