Empirical models of monthly and annual albedo in managed boreal forests of interior Norway |
| |
| Authors: | Ryan M. Bright Rasmus Astrup Anders H. Strømman |
| |
| Affiliation: | 1. Industrial Ecology Programme, Energy and Process Engineering, Norwegian University of Science and Technology, H?gskoleringen 5, E-1, 7491, Trondheim, Norway
2. Norwegian Forest and Landscape Institute, P.O. Box 115, 1431, ?s, Norway
|
| |
| Abstract: | An 11-year remotely sensed surface albedo dataset coupled with historical meteorological and stand-level forest management data for a variety of stands in Norway’s most productive logging region is used to develop regression models describing temporal changes in forest albedo following clear-cut harvest disturbance events. Datasets are grouped by dominant tree species, and two alternate multiple regression models are developed and tested following a potential-modifier approach. This result in models with statistically significant parameters (p?
|
| |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ |
|
