Methodology Sergi Herrando, Verena Keller, Petr Voříšek et al.
objectives 1. To document breeding evidence for all bird species at a resolution of 50x50 km 2. To estimate abundance for all bird species at a resolution of 50x50 km 3. To determine the changes in bird species distribution at a resolution of 50x50 km since the 1980s 4. To model fine-grained distribution for as many bird species as possible and project it at a resolution of 10x10 km
Study area 52 countries 11 million km 2 EBBA1 + whole Turkey, Cyprus and Canary Islands
Study period Any breeding bird observation collected during 2013-2017 is among the potential data for. 2013 2014 2015 2016 2017 Lost? No We have already collected suitable data for!!
Data sources 1. No common fieldwork method for all countries. 2. Many potential data sources: National atlases Specific surveys Common bird monitoring IBA monitoring On-line species lists Waterbird censuses Casual records etc.
objectives 1. To document breeding evidence for all bird species at a resolution of 50x50 km 2. To estimate abundance for all bird species at a resolution of 50x50 km 3. To determine the changes in bird species distribution at a resolution of 50x50 km since the 1980s 4. To model fine-grained distribution for as many bird species as possible and project it at a resolution of 10x10 km
Data provision at 50x50 km 1. Minimum standards for collecting field data and/or compiling information at 50x50 km square are necessary. 2. Standardised fields (common language): Square Species Breeding evidence Abundance
50x50 km squares Data provision at 50x50 km Which grid? The 50x50 km UTM grid The same of the first European Breeding Bird Atlas
50x50 km squares Data provision at 50x50 km A total of 5 217 squares Not all 50x50 km
50x50km squares Data provision at 50x50 km grid downloadable from EBBC website, both at European or country level (shape, kml) Also in Googlemaps 27WVP4
50x50 km squares Data provision at 50x50 km Information for as many 50x50 km squares as possible Provide the most complete list of breeding bird species for each reported square Inform about completeness of survey Completeness % Habitats well surveyed 1 0-20% 2 20-40% 3 40-60% 4 60-80% 5 80-100%
Data provision at 50x50 km Species Common language: species list downloadable from EBBC website
Data provision at 50x50 km Species Report data for all bird species Both native and non-native species should be reported Expert based distinctions: Wild, reintroduced, feral and park population Regular and occasional breeders
Breeding evidence Data provision at 50x50 km Recording information about the likelihood that a bird species breeds in a particular square is essential. Nest with youngs Nest building
Data provision at 50x50 km breeding codes
Data provision at 50x50 km Reporting breeding evidence Only the maximum observed atlas code (from 0-16) reported from each square will be reported. e.g. 6) Visiting probable nest-site Also an expert assessment from the coordinator (4 categories). e.g. C) Confirmed breeder
Abundance Data provision at 50x50 km One estimate per 50x50 km square and species should be provided The same abundance codes used in EBBA1 A B C D E F 1-9 pairs 10-99 pairs 100-999 pairs 1 000-9 999 pairs 10 000-99 999 pairs >100 000 pairs
Data provision at 50x50 km Data provision form, an example:
Final products from data provision at 50x50 km Objective 1. To document breeding evidence for all bird species at a resolution of 50x50 km Simulated map for Sylvia melanocephala
Final products from data provision at 50x50 km Objective 2. To estimate abundance for all bird species at a resolution of 50x50 km Simulated map for Sylvia melanocephala
Final products from data provision at 50x50 km Objective 3. To determine the changes in bird species distribution at a resolution of 50x50 km since the 1980s. Simulated map for Sylvia melanocephala
objectives 1. To document breeding evidence for all bird species at a resolution of 50x50 km 2. To estimate abundance for all bird species at a resolution of 50x50 km 3. To determine the changes in bird species distribution at a resolution of 50x50 km since the 1980s 4. To model fine-grained distribution for as many bird species as possible and project it at a resolution of 10x10 km
Data provision at 10x10 km attempts to show information on species distribution at 10x10 km, which could be considered a fine resolution at European scale. These fine-grained maps will be produced by means of three consecutive processes: Tº 1) 2) 3) Sp1 Sp2 Sp3 bird occurrence at national level at European level
Data provision at 10x10 km 10x10 km grid Each countries may use their own grid system. EU countries are encouraged to use the ETRS89 grid (Article 12 reporting)
Data provision at 10x10 km 10x10 km Standardised Survey Reliable models depends on the degree of standardisation of the data. More standardised Less standardised provides procedures to standardise data that will come from very diverse 00000000000situations.
Data provision at 10x10 km 10x10 km Standardised Survey There could essentially be two approaches to obtain data useful for the Standardised Survey: 1) One for countries with running monitoring schemes Synergy with PECBMS! 2) One for countries without them
Data provision at 10x10 km Countries with monitoring scheme Step 1. Select the 50x50 km squares that have monitoring plots (black lines in the example). Step 2. Within the 50x50 km squares selected in Step 1: select between 1 and 5 10x10 km that have monitoring plots. Step 3. For each selected 10x10 km square, use your monitoring dataset to generate a unique list of species for 1-2 hours of effective survey in a given year within the period (2013-2017). Sp1 Sp2 Sp3 Sp1 Sp2 Sp3
Data provision at 10x10 km Countries without monitoring scheme Step 1. Select a number of 50x50 km squares according to capacities. Step 2. Select between 1 and 5 10x10 km squares entirely located within each of the 50x50 km squares selected in Step 1. Step 3. Within each selected 10x10 km square do one or more walking routes accounting for a total of 1-2 hours and generate a species list. Sp1 Sp2 Sp3 Sp1 Sp2 Sp3
Data provision at 10x10 km 10x10 km Standardised Survey Data provision form, an example:
Objective 4. To model fine-grained distribution for as many bird species as possible and project it at a resolution of 10x10 km.
A seed for the future The 10x10 survey probably represents one of the first initiatives to collect standardised field data across the whole of Europe Opportunities for future analyses such as very robust comparisons with EBBA3 distributions
Thanks a lot! Let s start to fill it!