Birds as Useful Indicators of High Nature Value Farmlands: by Federico Morelli, Piotr Tryjanowski
By Federico Morelli, Piotr Tryjanowski
This booklet is helping to set up an easy framework to spot and use chicken species as a bioindicator for prime nature worth (HNV) farmlands.
This publication specializes in compatible tools for tracking the HNV components, and offers the result of numerous case reviews. The chapters recommend how one can combine ecosystems evaluation, geographical info structures (GIS) and methods for conservation of neighborhood biodiversity. An leading edge framework specializes in using species distribution versions (SDMs) that allows you to discover the significance of every attribute of HNV farmlands.
Furthermore, the booklet examines the relationships between chicken species richness, land use range and panorama metrics at an area scale within the farmlands.
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Extra resources for Birds as Useful Indicators of High Nature Value Farmlands: Using Species Distribution Models as a Tool for Monitoring the Health of Agro-ecosystems
Although in 1952 the plot was quite intensively managed, liquidation of scattered vegetation and transformation of surrounding grasslands into arable land caused a great decrease in heterogeneity. Authors: Petra Sˇímov a, Eva B artov a 3 Identifying HNV Areas Using Geographic Information Systems and Landscape Metrics 43 Fig. 3 Example of input data preparation and influence of thematic resolution. The input data for calculation of landscape metrics are categorical layers (b, c) of land cover (habitats).
6 %). All other countries have very low relative shares (1–3 %) (Fig. 5). 6 %), different taxa were examined. 3 %). 6 % for each one), and reptiles (1 %) (Fig. 6). 7 %), followed by species diversity/evenness and alpha/beta diversity (10 % of studies). Other biodiversity metrics had very low relative inputs (Fig. 7). 4 Discussion Systematic reviews are the best tool for a synthesis of primary results about topics of interest . Pursuing this goal, this systematic review provides a synopsis of the most influential peer-reviewed scientific literature on HNV farmland in Europe.
Quantification of landscape heterogeneity and other structural characteristics of landscape or habitats using landscape metrics is not a new topic (for example, see O’Neill et al. ). g. [6–12]. P. cz © Springer International Publishing AG 2017 F. Morelli, P. 1007/978-3-319-50284-7_3 37 38 P. g. ). Composition refers to the diversity and frequency of patches within the landscape, irrespective of their spatial configuration. Composition can be expressed by so-called non-spatial metrics, which can be sorted into four basic groups: relative class frequency, richness, evenness and diversity.