Potential of using data assimilation to support forest planning
Saad, R., Eyvindson, K., Gong, P., Lämås, T., & Ståhl, G. (2017). Potential of using data assimilation to support forest planning. Canadian Journal of Forest Research, 47 (5), 690-695. doi:10.1139/cjfr-2016-0439
Published inCanadian Journal of Forest Research
DisciplineEkologia ja evoluutiobiologia
© the Authors, 2017. This is a final draft version of an article whose final and definitive form has been published by National Research Council of Canada. Published in this repository with the kind permission of the publisher.
Uncertainty in forest information typically results in economic and ecological losses as a consequence of suboptimal management decisions. Several techniques have been proposed to handle such uncertainties. However, these techniques are often complex and costly. Data assimilation (DA) has recently been advocated as a tool that may reduce the uncertainty, thereby improving the quality of forest planning results. It offers an opportunity to make use of all new sources of information in a systematic way and thus provides more accurate and up-to-date information to forest planning. In this study, we refer to literature on handling uncertainties in forest planning, as well as related literature from other scientific fields, to assess the potential benefits of using DA in forest planning. We identify five major potential benefits: (i) the accuracy of the information will be improved; (ii) the information will be kept up to date; (iii) the DA process will provide information with estimated accuracy; (iv) stochastic decision making can be applied whereby the accuracy of the information can be utilized in the decision making process; and (v) DA data allows for the analysis of optimal data acquisition decisions. ...