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Effects of climate and lifeform on dry matter yield (epsilon) from simulations using BIOME BGCAn ecosystem process simulation model, BIOME-BGC, is used in a sensitivity analysis to determine the factors that may cause the dry matter yield (epsilon) and annual net primary production to vary for different ecosystems. At continental scales, epsilon is strongly correlated with annual precipitation. At a single location, year-to-year variation in net primary production (NPP) and epsilon is correlated with either annual precipitation or minimum air temperatures. Simulations indicate that forests have lower epsilon than grasslands. The most sensitive parameter affecting forest epsilon is the total amount of living woody biomass, which affects NPP by increasing carbon loss by maintenance respiration. A global map of woody biomass should significantly improve estimates of global NPP using remote sensing.
Document ID
19930064003
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Hunt, E. R., Jr.
(NASA Headquarters Washington, DC United States)
Running, Steven W.
(Montana Univ. Missoula, United States)
Date Acquired
August 16, 2013
Publication Date
January 1, 1992
Publication Information
Publication: In: IGARSS '92; Proceedings of the 12th Annual International Geoscience and Remote Sensing Symposium, Houston, TX, May 26-29, 1992. Vol. 2 (A93-47551 20-43)
Publisher: Institute of Electrical and Electronics Engineers, Inc.
Subject Category
Earth Resources And Remote Sensing
Accession Number
93A48000
Funding Number(s)
CONTRACT_GRANT: NAGW-952
CONTRACT_GRANT: NAS5-31368
CONTRACT_GRANT: NSF BSR-89-19646
Distribution Limits
Public
Copyright
Other

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