Towards harmonizing competing models: Russian forests' net primary production case study

Kryazhimskiy A, Rovenskaya E, Veshchinskaya V, Gusti M, Shchepashchenko D, & Shvidenko A (2015). Towards harmonizing competing models: Russian forests' net primary production case study. IIASA Interim Report. IIASA, Laxenburg, Austria: IR-15-003

[img]
Preview
Text
IR-15-003.pdf

Download (327kB) | Preview

Abstract

This paper deals with the issue of reconciling competing stochastic estimates provided by independent sources. We employ an integration method based on a principle of mutual compatibility of prior estimates. The method does not take into account credibility of the sources of the estimates, including their past performance. The quality of integration is evaluated in terms of change in the probability distribution. We use the method to integrate two types of estimates of the annual Net Primary Production (NPP) of the forest ecosystems in seven bioclimatic zones in Russia. The estimates are generated based on an empirical landscape-ecosystem approach and on an ensemble of dynamic global vegetation models; the gaps in thei estimates reach 23%. Elimination of the gaps may help better quantify the input of the terrestrial ecosystems to the global carbon cyce. The main result of this paper is the evidence of applicability of the method for selection a set of candidates for credible integrated estimates of uncertain ecological parameters (like forest NPP) integrating prior estimates.

Item Type: Monograph (IIASA Interim Report)
Uncontrolled Keywords: net primary production of forest, multi-model ensembles, Bayesian approach
Research Programs: Advanced Systems Analysis (ASA)
Ecosystems Services and Management (ESM)
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 08:54
Last Modified: 25 Oct 2016 18:42
URI: http://pure.iiasa.ac.at/11683

Actions (login required)

View Item View Item

International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313