Through nature conservation practices, farmers can strongly enhance nature quality and biodiversity in rural areas. In this paper, the social psychological underpinnings of farmers' nature conservation practices are investigated using the Theory of Planned Behavior, to which the concepts of self-identity and personal norms were added. A distinction is made between nature conservation practices done on a non-subsidised basis and nature conservation practices for which farmers receive some form of remuneration from the Dutch government. Eighty-five arable farmers participated in our survey. Results show that our model explains more variance in the intention to perform non-subsidised than subsidised nature conservation practices. Also, the concepts of self-identity and personal norms appear to be related to the intention to perform non-subsidised, not subsidised conservation.

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By adopting nature conservation practices, farmers can enhance the environmental quality and biodiversity of their land. In this exploratory study, a behavioral intervention that focused on improving Dutch farmers’ nature conservation practices was developed and tested. This intervention was based on insights derived from social psychology and combined tailored information and public commitment. Participating farmers were divided in three groups: one group received tailored information only, one group received both tailored information and a public commitment manipulation, and one group served as a control. A questionnaire measuring relevant aspects of conservation was completed before and after the intervention. Results show that tailored information combined with public commitment making resulted in a stronger desire to engage in conservation, an increase in surface area of non-subsidized natural habitat, and an increase in time farmers spent on conservation. The intervention affected both subsidized and non-subsidized conservation, but the effects were stronger for non-subsidized conservation.

We developed a spatio-temporal model for the Netherlands to estimate environmental exposure to individual agricultural pesticides at the residential address for application in a national case-control study on Parkinson's disease (PD). Data on agricultural land use and pesticide use were combined to estimate environmental exposure to pesticides for the period 1961 onwards. Distance categories of 0-50 m, >50-100 m, >100-500 m and >500-1000 m around residences were considered. For illustration purposes, exposure was estimated for the control population (n=607) in the PD case-control study. In a small validation effort, model estimates were compared with pesticide measurements in air and precipitation collected at 17 stations in 2000-2001. Estimated exposure prevalence was higher for pesticides used on commonly cultivated (rotating) crops than for pesticides used on fruit and bulbs only. Prevalence increased with increasing distance considered. Moderate-to-high correlations were observed between model estimates (>100-500 m and >500-1000 m) and environmental pesticide concentrations measured in 2000-2001. Environmental exposure to individual pesticides can be estimated using relevant spatial and temporal data sets on agricultural land use and pesticide use. Our approach seems to result in accurate estimates of average environmental exposure, although it remains to be investigated to what extent this reflect personal exposure to agricultural pesticides.