title: Assessing the habitat suitability of agricultural landscapes for characteristic breeding bird guilds using landscape metrics.
abstract: Many of the processes behind the decline of farmland birds can be related to modifications in landscape structure (composition and configuration), which can partly be expressed quantitatively with measurable or computable indices, i.e. landscape metrics. This paper aims to identify statistical relationships between the occurrence of birds and the landscape structure. We present a method that combines two comprehensive procedures: the "landscape-centred approach" and "guild classification". Our study is based on more than 20,000 individual bird observations based on a 4-year bird monitoring approach in a typical agricultural area in the north-eastern German lowlands. Five characteristic bird guilds, each with three characteristic species, are defined for the typical habitat types of that area: farmland, grassland, hedgerow, forest and settlement. The suitability of each sample plot for each guild is indicated by the level of persistence (LOP) of occurrence of three respective species. Thus, the sample plots can be classified as "preferred" or "less preferred" depending on the lower and upper quartiles of the LOP values. The landscape structure is characterized by 16 different landscape metrics expressing various aspects of landscape composition and configuration. For each guild, the three landscape metrics with the strongest rank correlation with the LOP values and that are not mutually dependent were identified. For four of the bird guilds, the classification success was better than 80%, compared with only 66% for the grassland bird guild. A subset of six landscape metrics proved to be the most meaningful and sufficiently classified the sample areas with respect to bird guild suitability. In addition, derived logistic functions allowed the production of guild-specific habitat suitability maps for the whole landscape. The analytical results show that the proposed approach is appropriate to assess the habitat suitability of agricultural landscapes for characteristic bird guilds.
authors.affiliation: Leibniz Centre for Agricultural Landscape Research (ZALF), Eberswalder Str. 84, 15374, Müncheberg, Germany. Friederike@Borges.de.|Eberswalde University for Sustainable Development, Alfred-Möller Str. 1, 16225, Eberswalde, Germany. Friederike@Borges.de.
authors.forename: Friederike
authors.identifier: http://orcid.org/0000-0001-9388-5896
authors.initials: F
authors.lastname: Borges
authors.affiliation: Leibniz Centre for Agricultural Landscape Research (ZALF), Eberswalder Str. 84, 15374, Müncheberg, Germany.
authors.forename: Michael
authors.initials: M
authors.lastname: Glemnitz
authors.affiliation: Eberswalde University for Sustainable Development, Alfred-Möller Str. 1, 16225, Eberswalde, Germany.
authors.forename: Alfred
authors.initials: A
authors.lastname: Schultz
authors.affiliation: Leibniz Centre for Agricultural Landscape Research (ZALF), Eberswalder Str. 84, 15374, Müncheberg, Germany.
authors.forename: Ulrich
authors.initials: U
authors.lastname: Stachow
mesh_terms: D000383:Agriculture; D000818:Animals; D044822:Biodiversity; D001717:Birds / Q000502:physiology*; D001947:Breeding; D017753:Ecosystem; D004784:Environmental Monitoring / Q000379:methods*; D065928:Forests; D065948:Grassland
keywords: Binary logistic regression; Bird monitoring; Landscape assessment; Landscape composition; Landscape configuration; Moving windows