The governance of global forest statistics: case study on forest products trade between Sub-Saharan Africa and China

What drives discrepancies and inconsistencies in global forest statistics? The use of global statistics has influenced academic research and sectoral policies of forest ecosystems since the first global forest assessment was conducted in 1948 or even earlier. Very little work has been done to provide a comprehensive analysis of the governance structure and the quality of predominant international forest databases. Furthermore, very little is known about the attractiveness and/or repulsiveness of global forest statistics platforms to scholars, policy-makers and other users. To reduce knowledge gap, this article examines the governance structure and strategies of three major databases which provide data on global forest products trade including timber export/import flows data, namely FAOSTAT, the United Nations Comtrade, and Chatham House's Resource Trade Earth. This paper uses conceptual and theoretical frameworks of data governance and nudge theories are used to study the production, quality, attractiveness and repulsiveness of global forest statistics and the related platforms through research on a qualitative and quantitative methodological approach. The main findings show that among the above three data platforms, only Comtrade received first-hand data directly from UN producing member states' offices, while the other organisations depend on Comtrade, transform second-hand data. More importantly, the article reveals that the levels of quality and attractiveness of the forest databases in our study are unequal and that database attractiveness is not based on quality. As a result, global forest statistics providers may be motivated to put more effort into improving database attractiveness rather than quality, which is more challenging. Consequently, it is likely that the governance structure and strategies reported in these databases can substantially affect the reliability of numbers used in academic research and policy-decisions since they are generated from the related global forest statistics.

Into the wild: disentangling non-wood terms and definitions for improved forest statistics

As scientists strive to make nature's value visible, a large portion of forests and wild biodiversity known as non-wood forest products (NWFPs) continues to remain largely invisible and unaccounted for. At the core of the problem is wide disaccord over what is a NWFP (and correlate terms), a debate which has been running in circles for nearly three decades. This paper reviews existing terms and definitions, with the aim of improving forest statistics and the visibility of NWFPs. The paper starts by (1) clarifying boundaries between agricultural and forest products, so forest products currently under agriculture can be "reclaimed"; (2) drawing on lessons from fisheries to distinguish between wild and farmed products, and associated activities; (3) moving beyond product towards activity classifications to capture gathering that may not be accounted for under crops or forest products because it takes place across landscapes and outside of these sectoral boundaries.