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1. The first experiment showed that there is a considerable loss of DD vapour from the surface layer of soil, and that this loss is only moderately reduced by using a water seal or a non-gas-tight seal of foil. The effect of this is to leave a residue of potato root-eelworm “survivors” in the top 2 inches of soil and so to make DD less effective than it would be if the loss could be prevented.2. The second experiment showed that the survivors could be dealt with by treating the soil surface with a micellar solution of p-m cresol, solubilized by the method of Staniland and Stone. It also established the fact that the two treatments behave independently at all levels: there was no interaction between them.

This chapter aims at illustrating how a Dynamic Performance Management and Governance approach may support the implementation of “collaborative platforms” (Ansell and Gash, 2018) to enhance network policy design and the pursuit of sustainable community outcomes. This is an emerging field of research, embracing performance management, collaborative governance, and systems theory, aimed at fostering a learning-oriented perspective in performance data use. Such a view has been also referred as “collaborative performance management”, i.e., the “sharing of resources and information among different actors for the purposes of achieving a formal performance goal” (Choi and Moynihan, 2019, p. 1539). Since collaborative processes are main drivers of sustainable outcomes (Thomson et al., 2008), this requires that performance management extends the investigated system boundaries and time horizon. By adopting a performance governance1 view, Douglas and Ansell (2021, p. 951), described collaborative performance management as a “collection of routines used by actors working together on a societal issue to explicate their goals, exchange performance information, examine progress, and explore performance improvement actions”. The described field of study identifies the focus of this chapter, which is on applying collaborative performance management to a governance setting through a learning-oriented feedback approach. 2.