G2TT
来源类型Article
规范类型其他
DOI10.1016/j.techfore.2015.06.003
Towards harmonizing competing models: Russian forests' net primary production case study.
Kryazhimskiy A; Rovenskaya E; Shvidenko A; Gusti M; Shchepashchenko D; Veshchinskaya V
发表日期2015
出处Technological Forecasting and Social Change 98: 245-254
出版年2015
语种英语
摘要This paper deals with the issue of reconciling gaps between stochastic estimates (probability distributions) provided by alternative statistically inaccurate observation/estimation techniques. We employ a posterior reconciliation (integration) method based on selection of mutually compatible test outcomes. Unlike other methods used in this context, the posterior integration method employed does not include assessment of the credibility of the original (prior) estimation sources, which is usually based on analysis of their past performance. The quality of the resulting posterior integrated distribution is evaluated in terms of change in the variance. The method is illustrated by integration of stochastic estimates of the annual net primary production (NPP) of forest ecosystems in seven bioclimatic zones of Russia. The estimates result from the use of two alternative NPP estimation techniques - the landscape-ecosystem approach based on empirical knowledge, and an ensemble of dynamic global vegetation models. The estimates differ by up to 23%. Elimination of these gaps could help better quantify the terrestrial ecosystems' input to the global carbon cycle. The paper suggests a set of candidates for credible integrated NPP estimates for Russia, which harmonize those provided by two alternative sources.
主题Advanced Systems Analysis (ASA) ; Ecosystems Services and Management (ESM)
关键词net primary production of forest multi-model ensembles integration of models
URLhttp://pure.iiasa.ac.at/id/eprint/11387/
来源智库International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/130321
推荐引用方式
GB/T 7714
Kryazhimskiy A,Rovenskaya E,Shvidenko A,et al. Towards harmonizing competing models: Russian forests' net primary production case study.. 2015.
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