Normative productivity of the global vegetation

被引：6
作者：
Alexandrov G.A. [1 ,2 ]
Matsunaga T. [1 ]
机构：
[1] Office for Global Environmental Database, Center for Global Environmental Research, National Institute for Environmental Studies, Tsukuba
[2] Institute of Atmospheric Physics, Russian Academy of Sciences, Moscow
来源：
Carbon Balance and Management | / 3卷 / 1期
关键词：
Alternative Data; Larch Forest; Initial Ensemble; Biosphere Model; Geographic Grid;
D O I：
10.1186/1750-0680-3-8
中图分类号：
学科分类号：
摘要：
Background: The biosphere models of terrestrial productivity are essential for projecting climate change and assessing mitigation and adaptation options. Many of them have been developed in connection to the International Geosphere-Biosphere Program (IGBP) that backs the work of the Intergovernmental Panel on Climate Change (IPCC). In the end of 1990s, IGBP sponsored release of a data set summarizing the model outputs and setting certain norms for estimates of terrestrial productivity. Since a number of new models and new versions of old models were developed during the past decade, these normative data require updating. Results: Here, we provide the series of updates that reflects evolution of biosphere models and demonstrates evolutional stability of the global and regional estimates of terrestrial productivity. Most of them fit well the long-living Miami model. At the same time we call attention to the emerging alternative: the global potential for net primary production of biomass may be as high as 70 PgC y-1, the productivity of larch forest zone may be comparable to the productivity of taiga zone, and the productivity of rain-green forest zone may be comparable to the productivity of tropical rainforest zone. Conclusion: The departure from Miami model's worldview mentioned above cannot be simply ignored. It requires thorough examination using modern observational tools and techniques for model-data fusion. Stability of normative knowledge is not its ultimate goal - the norms for estimates of terrestrial productivity must be evidence-based. © 2008 Alexandrov and Matsunaga; licensee BioMed Central Ltd.
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