Secondary analysis of previously published data has a long tradition in ecological science and is widely and successfully practiced as a means of efficiently address ing new questions and hypotheses. Meta-analysis is, in essence, the class of such analyses in which the findings of multiple primary studies are subject to further statistical analysis of emergent outcomes, and is a more recent practice within ecology. I recognize that this is a loose definition of (Ellison 2010, Gur evitch and Mengersen 2010) but continue to refer to the studies I critique using this common broader usage. Owing to the apparent power of such synthetic analyses, papers can be highly influential (Mittel bach 2010). This forum, together with other recent critical assessments (e.g., Englund et al. 1999, Gates 2002), demonstrates that there are good reasons to call for great care, improved rigor and transparency in the use of meta-analysis tools in ecology. However, in the article that initiated this forum exchange (Whittaker 2010), all the specific criticisms I made were restricted to recent meta-analyses of just one problem, which concerns the form of the species richness-productivity relationship (SRPR) in plants. In this brief response to the seven other contributions, I retain this focus while aiming to resolve several misconstructions of points made in my paper, and to comment on a few key points of disagreement regarding analyses of the SRPR. Use of proxies.?First, there have been relatively few studies that have specifically set out to gather data to determine the form of the SRPR and so, in order to increase the power of analysis and refine the questions asked, those undertaking meta-analyses have sought other data sets that were initially gathered for different purposes. There are many published papers providing diversity data, but few that provide direct measurements of productivity, which is a difficult property to estimate accurately. Hence the reliance in Mittelbach et al. (2001), P?rtel et al. (2007), and Laanisto et al. (2008)