DOI: 10.5061/dryad.wstqjq30d
title: SCALP+ monitoring report lynx year 2022 (1. May 2022 – 30. April 2023)

description: The Status and Conservation of the Alpine Lynx Population (SCALP) was
 created in the early 1990s to survey the status of the lynx in the Alps,
 carry out monitoring activities in coordination between Alpine countries
 and close research gaps in the region. The project brings together a team
 of experts focused on compiling available data on lynx and standardising
 their interpretation. SCALP has not only been compiling data required for
 the description of the conservation status of the lynx population in the
 Alps, but has also been advancing the conceptual and methodological
 approach of transboundary monitoring with the SCALP criteria. The SCALP
 criteria classify species occurrence data according to their verifiability
 (i.e. C1 = hard fact data, C2 = verified records, C3 = unverified records
 or records which by their nature cannot be verified) and are now commonly
 used in several species. Thanks to the standardised data interpretation,
 direct comparison of lynx distribution between countries and populations
 is possible. Lynx presence was mapped at a 10 x 10 km (ETRS89-LAEA Europe)
 grid scale. This grid is widely used for Habitat Directive reporting to
 the European Union (EU) and can be downloaded at:
 [http://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-2]. Since
 2013, SCALP has been expanded to include additional countries in Europe
 and renamed to SCALP+. Here, we provide the shp files of SCALP+ for data
 collected between May 1 2022 and April 30 2023 from Austria, Croatia,
 Czech Republic, France, Germany, Italy, Liechtenstein, Serbia, Slovakia,
 Slovenia, and Switzerland. The shp files visualise the distribution of
 lynx in the respective countries, core areas of populations (where
 reproduction occurs) and variation in underlaying data quality.
description: # SCALP+ monitoring report lynx year 2022 (1. May 2022 – 30. April 2023)
 Dataset DOI:
 [10.5061/dryad.wstqjq30d](https://doi.org/10.5061/dryad.wstqjq30d) ##
 Description of the data and file structure We share lynx distribution data
 collected between May 1 2022 and April 30 2023 in eleven European
 countries (Austria, Croatia, Czech Republic, France, Germany, Italy,
 Liechtenstein, Serbia, Slovakia, Slovenia, and Switzerland) as
 Shapefile. Lynx presence was mapped at a 10 x 10 km (ETRS89-LAEA Europe)
 grid scale. ### Files and variables #### File: SCALPplus2022.zip
 **Description:**  Shape files: Distribution of the lynx in eleven European
 countries in 2022. We additionally include the SCALP+2022 monitoring
 report as a pdf, where we show the distribution map of lynx in the
 respective countries as well as a map of release sites of seven
 translocated lynx to reinforce the Alpine and Dinaric lynx populations. |
 **Metadata table** | **Information provided** | |
 :------------------------- |
 :----------------------------------------------------------------------------------- | | CELLCODE                  | 10x10 km ETRS89-LAEA (Lambert Azimuthal Equal Area) Europe grid ID | | EOFORIGIN                | East coordinate in ETRS89-LAEA projection ([EPSG:3035](https://epsg.io/3035)) | | NOFORIGIN                | North coordinate in ETRS89-LAEA projection ([EPSG:3035](https://epsg.io/3035)) | | CATEGORY                   | Presence category: "1reproduction", "2reproduction", "3reproduction", "1", "2", "3"  | For interpretation of "CATEGORY" see report Molinari-Jobin et al. 2025. ## Code/software Shapefiles are a common format for vector-based geographic information system (GIS) data. They can be opened and used in any GIS software and in R or Python. A shapefile consists of multiple file types beyond the .shp (specifically, .cpg, .dbf, .prj, .sbn, and .sbx). The user only interacts directly with the .shp file but the other files need to be in the same directory. A distinction was made between different SCALP categories (category 1 = hard fact data, category 2 = confirmed records, category 3 = unconfirmed records) and whether the observation included a reproductive event or not. ## Access information Other publicly accessible locations of the data: * [Microsoft Word - status_web_monitoring_2022](https://www.kora.ch/?action=get_file&id=113&resource_link_id=8b4)