Interactions between abiotic filters, landscape structure and species traits as determinants of dairy farmland plant diversity

▶ Features of the physical environment, land use and landscape structure jointly determine landscape-level patterns of plant diversity, even under the homogenising effects of agricultural intensification. ▶ Landscape-level plant species richness was found to be highest in lowland areas, where warmer climate and nutrient rich-soils contribute to balance the potential negative effects of dairy farming. ▶ Species traits mediate their responses to physical environmental gradients, land use and landscape structure, and therefore strongly influence landscape-level patterns of plant diversity. ▶ In a regional context, intensive farmland can be of high relevance for nature conservation and should therefore be the focus of specific planning targeted at promoting habitat functions. Maintaining farmland biodiversity in Europe under scenarios of agricultural intensification is a keystone challenge of nature conservation. The recruitment of species from the regional pool to local landscape mosaics and individual patches is known to be determined by multi-scale ecological filters. Here we aimed at clarifying the relative importance of the physical environment, land use and landscape structure, and species traits, as filters of landscape-level plant species diversity in intensive farmland. Vascular plant species diversity was surveyed in 18 dairy farmland mosaics along a gradient of agricultural specialisation in Northern Portugal. Plant species were grouped according to their life strategy, biogeographic origin, and synecological preferences. Species richness was found to be highest in lowland areas, where warmer climate and nutrient-rich soils contribute to balance the potential negative effects of intensive farming. Multiple predictors, related to physical environment (e.g. climate), land use (e.g. crop area), and landscape structure (e.g. mean patch size), were found to influence diversity patterns, even under the homogenizing effects of agricultural intensification. Dissimilarity models discriminated distinct types of responses, with patterns for biogeographic and synecological groups of species being better predicted by landscape based models. In contrast, a dominant role of physical predictors was observed in explaining diversity patterns for plant strategies. Overall, our results confirmed that physical environmental gradients, land use, landscape structure, and species traits interact in determining landscape-level plant diversity patterns. Such patterns may inf