Environmental stratifications provide the framework for efficient surveillance and monitoring of biodiversity and ecological resources, as well as modelling exercises. An obstacle for agricultural landscape monitoring in Estonia has been the lack of a framework for the objective selection of monitoring sites. This paper describes the construction and testing of the Environmental Stratification of Estonia (ESE). Principal components analysis (PCA) was used to select the variables that capture the most amount of variation. Seven climate variables and topography were selected and subsequently subjected to the ISODATA clustering routine in order to produce relatively homogeneous environmental strata. The ESE contains eight strata, which have been described in terms of soil, land cover and climatic parameters. In order to assess the reliability of the stratification procedure for the selection of monitoring sites, the ESE was compared with the previous map of Landscape Regions of Estonia and correlated with five environmental datasets. All correlations were significant. The stratification has therefore already been used to extend the current series of samples in agricultural landscapes into a more statistically robust series of monitoring sites. The potential for applying climate change scenarios to assess the shifts in the strata and associated ecological impacts is also examined.

Context The Eurasian crane (Grus grus) is an iconic and sensitive species. It is therefore necessary to understand its landscape ecology in order to determine threats. Objectives (1) To map the distribution of cranes and then model their habitat requirements in Estonia, linked to the current level of protection. (2) To determine the environmental characteristics of, and the habitats present in, sites utilized by the birds, and their sensitivity to change.Methods (1) The distribution of cranes was recorded by observation and by tracking individuals. A model of potential breeding sites was compared with the occurrence of the bird in Estonia and then linked to protected sites. (2) The seasonal distribution of the bird was overlaid with a European environmental classification and the CORINE land cover map. A model of climate change was also utilized. Results (1) A new map of European migration routes, wintering and stopover sites is presented. (2)The bird requires a habitat network, with wetlands being essential for nesting and roosting. The composition of habitats used for feeding varies according to geographical location. (3) In Estonia not all potential breeding sites are occupied and many existing sites are not protected. (4) Climate change could threaten populations in the south but could be beneficial in Estonia.Conclusions (1) The existing ecological network in Estonia is adequate to maintain a viable breeding population of the Eurasian crane. (2) Climate change could support the breeding of cranes but complicate their migration and wintering.

The green infrastructure (GI) is a network of natural and semi-natural areas with environmental features that is designed and managed to deliver a wide range of ecosystem services. The concept has roots in the former hierarchical system of ecological networks. There are several examples of GIs, but details of their implementation at a landscape level are often missing or they have been used non-systematically. Here, we demonstrate opportunities for landscape-level implementation of GIs based on spatial analysis through the application of ecological engineering or other measures. Using maps and expert evaluations of different land-use types, we created a methodology for national-scale determination of Estonia's GI. Based on spatially explicit datasets (e.g., land cover, soils, topography, roads), we determined the proportions of greenness and brownness (primarily anthropogenic) landscape indices. Areas with the highest greenness values served as the GI's core areas, whereas areas with the greatest anthropogenic composition represented the brown infrastructure. Identification and classification of hotspots where the two infrastructures are in conflict (e.g., construction, mining areas, roads, settlements, airports, power lines, wind turbines) revealed locations where ecological engineering and other measures are needed to mitigate or eliminate the conflict. Developing spatially explicit models of the conflicts between the infrastructures represents a new approach in landscape planning and environmental management that links coarse-scale landscape planning and regional landscape plans with more detailed local landscape plans that support the design of site-specific ecological engineering and other measures. We demonstrate that the implementation of GIs is inseparably connected with ecological engineering and landscape-scale planning.

Questions Long‐term fragmentation and land use in Europe have created a landscape pattern where small forest patches are embedded among agricultural landscapes. These small forest patches can be one of the few habitats left to maintain the species richness and ecosystem functions within intensively managed agroecosystems. We ask, which factors determine vascular plant species richness, community composition and forest community integrity in small forest patches in an agricultural landscape? Location NE Estonia. Methods We combine island biogeographic theory (patch area and isolation) with the properties of the surrounding landscape and local environmental conditions within a patch to study the drivers of species richness and community integrity. Results Patch area together with local environmental factors (understorey light conditions and soil reaction) determined both species richness and community integrity. Total species richness and forest generalists were related to patch area alone, whereas forest specialists were additionally dependent on patch light conditions. Species richness of grassland specialists in the forest patches increased with the amount of natural habitat in the surrounding landscape, while the presence of synanthropic species was positively related to soil reaction. Forest community integrity was higher in larger, more shaded patches with low soil reaction, which together defined suitable conditions for forest communities and hindered the intrusion of species from other habitats. Conclusions Under a suitable set of conditions, encompassing both favourable landscape and local environmental conditions, even small forest patches can provide habitat for both forest and grassland communities in agricultural landscapes. Comprehensive approaches, considering species composition, environment and landscape conditions simultaneously, are needed for making reliable predictions of biodiversity patterns.

Abstract. Estonia has joined the Pan-European Biological and Landscape Diversity Strategy which obligates signatories to participate in developing the Pan-European Ecological Network. The plan "Environmental conditions for guiding settlement and land use" was initiated in all 15 counties of Estonia in 1999.