We used an ecosystem process simulation model, BIOME-BGC, in a sensitivity analysis to determine the factors that may cause the dry matter yield (Eϵ), and hence, annual net primary production to vary for different ecosystems. At continental scales, e was strongly correlated to annual precipitation. At a single location, year-to-year variation in NPP and E was correlated to either annual precipitation and minimum air temperatures. Simulations indicated that forests had lower eϵ than grasslands. The most sensitive parameter affecting forest E was the total amount of living woody biomass, which affects NPP by increasing carbon loss by maintenance respiration. Thus, a global map of woody biomass should significantly improve estimates of global NPP using remote sensing.
|Title of host publication
|IGARSS 1992 - International Geoscience and Remote Sensing Symposium
|Subtitle of host publication
|International Space Year: Space Remote Sensing
|Ruby Williamson, Tammy Stein
|Institute of Electrical and Electronics Engineers Inc.
|Number of pages
|Published - 1992
|12th Annual International Geoscience and Remote Sensing Symposium, IGARSS 1992 - Houston, United States
Duration: May 26 1992 → May 29 1992
|International Geoscience and Remote Sensing Symposium (IGARSS)
|12th Annual International Geoscience and Remote Sensing Symposium, IGARSS 1992
|05/26/92 → 05/29/92