Monitoring of farming landscapes

NIBIO uses systematic, repeat surveys to monitor farming landscapes.

Contacts

The 3Q Monitoring Programme is based on a national random sample of monitoring squares that contain agricultural land (cultivated land or infield pasture). The aim is to document land use, field size, cultural heritage, biological diversity and accessibility. The program includes field work at a sub-sample of monitoring squares to record birds, plants, buildings and cultural heritage and to document the visual landscape using georeferenced photographs.

Monitoring of summer farm landscapes is based on a national random sample of monitoring squares that contain summer farms. The summer farms are typically in the forests and mountains, making use of outfield grazing. The focus of this survey is a general characterization of summer farms, with their associated buildings, cultural heritage and outfield pastures.

"Landscape data in a geographical grid" is a system for documenting georeferenced statistical data on agriculture, land use and land cover, using national standardized grids. This system is useful to illustrate geographical patterns and regional differences and to visualize changes over time.

Publications

Abstract

The decline in farmland birds observed throughout Europe during recent decades has attracted much attention. Agricultural intensification or land abandonment are commonly forwarded as key drivers. Several countries have established agri-environmental schemes (AES) to counter these negative trends among farmland birds. This paper reports a study of the relationship between land use and bird species in the agricultural landscape of Norway. The main objective was to investigate the effect of spatial heterogeneity and diversity of land use on total richness and abundance of farmland birds at a national level. Monitoring the distribution and abundance of birds is part of the Norwegian monitoring programme for agricultural landscapes. The monitoring programme is based on mapping of 1 × 1 km squares distributed across the entire agricultural landscape. Within these squares permanent observation points are established for bird monitoring. Detailed interpretation of aerial photographs provides the land classification. We tested the relationship between landscape metrics at different levels of land type detail and species richness and abundance of farmland and non-farmland birds. There was a positive relationship between species richness and abundance of farmland birds and agricultural area. For non-farmland birds the relationship was negative. Spatial heterogeneity of land use was a significant positive factor for both farmland and non-farmland species. High land type diversity was positive for farmland bird richness, but negative for abundance. Non-farmland bird richness was not affected by land type diversity, but abundance had a negative response. The results presented in this paper highlight the importance of a spatial heterogeneous landscape. However, we also found that land type diversity could negatively affect the abundance of both farmland and non-farmland birds. Our findings suggest a need for different management approaches depending on whether the aim is increased species richness or abundance. Achieving both aims with the same means might be difficult. We thus suggest a need for land use analyses before proper management strategies can be implemented.

Abstract

Agricultural landscapes are products of farming activity in the past and present. They are everyday landscapes for many people and are important for outdoor recreation. Many plant and animal species find their habitat in these landscapes, and a high number of cultural heritage sites can also be found there. At the same time, agricultural landscapes are continuously subject to change. To ensure sufficient information on how these landscapes change, a national monitoring programme with the acronym “3Q” was initiated in 1998, to document status, continuity and change in agricultural landscapes in Norway. The Division of Survey and Statistics at NIBIO is responsible for the programme.