Background: Biodiversity loss, due in part to intensification of agriculture, has become a global issue. In this context, fruit producers are looking for nature-friendly production methods. Their aim is to reduce intensive pesticide use and to enhance orchard management in terms of optimising habitats for beneficial organisms. However, fruit production, especially in low-stem orchards, requires several interventions over the course of the year (tillage, thinning, mowing, disking, spraying, fertilisation, etc.), each of them representing a disturbance. Surprisingly, international journals seem to contain few publications on the impact of most of these practices (except pesticides) on biodiversity in general and beneficial organisms in particular, even though the benefits of predators to control pests have been known for decades. However, an increasing number of studies have been published in the past 10 years, corroborating the importance that biodiversity has gained as a topic in life cycle assessment. In this context, an expert system that considers the impact of individual farming activities on a set of biodiversity indicators (flora of crops and grasslands, birds, mammals, amphibians, slugs and snails, spiders, carabids, butterflies, wild bees, and grasshoppers) is to be extended to practices in low-stem and high-stem orchards. We therefore intend to conduct a systematic map to assess what evidence exists on the impact of agricultural practices in fruit orchards on biodiversity indicator species groups. Methods and output: By gathering this information, we aim (a) to assess the state of research on discrete indicators and/or practices, (b) to identify literature relevant for assessing production impact and habitat suitability and (c) to provide a wide-ranging overview of existing evidence and its transfer to extension services and public perception. A literature search in scientific journals, agronomy magazines and the internet will therefore be performed in English, German and French. Following article screening, included articles will be recorded and coded (per the results of a limited study quality assessment). The resulting database and maps will be presented along with descriptive statistics of the distribution and abundance of evidence across interventions and outcomes.