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Supplementary material 8 from: Harper L, Watson H, Donnelly R, Hampshire R, Sayer C, Breithaupt T, Hänfling B (2020) Using DNA metabarcoding to investigate diet and niche partitioning in the native European otter (Lutra lutra) and invasive American mink (Neovison vison). Metabarcoding and Metagenomics 4: e56087. https://doi.org/10.3897/mbmg.4.56087
Figure S2
Supplementary material 12 from: Harper L, Watson H, Donnelly R, Hampshire R, Sayer C, Breithaupt T, Hänfling B (2020) Using DNA metabarcoding to investigate diet and niche partitioning in the native European otter (Lutra lutra) and invasive American mink (Neovison vison). Metabarcoding and Metagenomics 4: e56087. https://doi.org/10.3897/mbmg.4.56087
Figure S6
Supplementary material 7 from: Harper L, Watson H, Donnelly R, Hampshire R, Sayer C, Breithaupt T, Hänfling B (2020) Using DNA metabarcoding to investigate diet and niche partitioning in the native European otter (Lutra lutra) and invasive American mink (Neovison vison). Metabarcoding and Metagenomics 4: e56087. https://doi.org/10.3897/mbmg.4.56087
Figure S1
Supplementary material 3 from: Harper L, Watson H, Donnelly R, Hampshire R, Sayer C, Breithaupt T, Hänfling B (2020) Using DNA metabarcoding to investigate diet and niche partitioning in the native European otter (Lutra lutra) and invasive American mink (Neovison vison). Metabarcoding and Metagenomics 4: e56087. https://doi.org/10.3897/mbmg.4.56087
Appendix 3: Predator assignment
Supplementary material 6 from: Harper L, Watson H, Donnelly R, Hampshire R, Sayer C, Breithaupt T, Hänfling B (2020) Using DNA metabarcoding to investigate diet and niche partitioning in the native European otter (Lutra lutra) and invasive American mink (Neovison vison). Metabarcoding and Metagenomics 4: e56087. https://doi.org/10.3897/mbmg.4.56087
Table S1
BIT List W-European Countries 1959-1989
<p>This is a course trial. The dataset contains all BITs negotiated by West-Germany, Switzerland, France, The Netherlands and the BLEU during the period 1959-1989, as well as selected provisions (FET, FPS, Expropriation, Umbrella clause, Arbitrary and/or discriminatory measures)</p>
Supplementary material 1 from: Harper L, Watson H, Donnelly R, Hampshire R, Sayer C, Breithaupt T, Hänfling B (2020) Using DNA metabarcoding to investigate diet and niche partitioning in the native European otter (Lutra lutra) and invasive American mink (Neovison vison). Metabarcoding and Metagenomics 4: e56087. https://doi.org/10.3897/mbmg.4.56087
Appendix 1: Fish inventory
Supplementary material 2 from: Harper L, Watson H, Donnelly R, Hampshire R, Sayer C, Breithaupt T, Hänfling B (2020) Using DNA metabarcoding to investigate diet and niche partitioning in the native European otter (Lutra lutra) and invasive American mink (Neovison vison). Metabarcoding and Metagenomics 4: e56087. https://doi.org/10.3897/mbmg.4.56087
Appendix 2: Methods
Supplementary material 4 from: Harper L, Watson H, Donnelly R, Hampshire R, Sayer C, Breithaupt T, Hänfling B (2020) Using DNA metabarcoding to investigate diet and niche partitioning in the native European otter (Lutra lutra) and invasive American mink (Neovison vison). Metabarcoding and Metagenomics 4: e56087. https://doi.org/10.3897/mbmg.4.56087
Appendix 4: Samples from non-focal mammal predators
Supplementary material 5 from: Harper L, Watson H, Donnelly R, Hampshire R, Sayer C, Breithaupt T, Hänfling B (2020) Using DNA metabarcoding to investigate diet and niche partitioning in the native European otter (Lutra lutra) and invasive American mink (Neovison vison). Metabarcoding and Metagenomics 4: e56087. https://doi.org/10.3897/mbmg.4.56087
Appendix 5: Non-focal mammal diet
FIG. 5 in Horse size and domestication: Early equid bones from the Czech Republic in the European context
FIG. 5. — Comparison of standard deviations and quartile differences based on horse size distribution from the Czech sites (left) and selected collections from other regions (right). Based on the same sources as in Figs 3, 4, 6-9. Arrows, wild populations; Dif. Q3-Q1, interquartile range.
FIG. 7. — Size comparison within 4200-3400 in Horse size and domestication: Early equid bones from the Czech Republic in the European context
FIG. 7. — Size comparison within 4200-3400 BC. Statistics for TRB from the Czech Republic based on the same data as in Fig. 3. Statistics for Cmielów based on Krysiak (1950, 1952), for German sites taken from Benecke & Driesch (2003). Others as in Figs 3, 6. Abbreviations: CR, Czech Republic; LBK, Linear Pottery c; TRB, Funnel Beaker c.
Dataset on Article: Multiple stressors determine river ecological status at the European scale: Towards an integrated understanding of river status deterioration
<p>The shape file contains the raw data from the Global Change Biology article "River types, hydrology, riparian land use, nutrients, toxic substances, ecological status, stressor interactions". </p> <p><strong>General Information</strong></p> <p>Name of the dataset: MultipleStress_RiverEcoStatus.shp</p> <p>Type of dataset: vector data (shape file)</p> <p>Number of polygons: 52.847</p> <p>Geographic Coordinate System: GCS_WGS_1984</p> <p> </p> <p><strong>Contact details</strong></p> <p>Metadata / scientific contact person:</p> <p> First, last name: Sebastian Birk</p> <p> Email: <a href="mailto:sebastian.birk@uni-due.de">sebastian.birk@uni-due.de</a></p> <p> Institution: University of Duisburg-Essen, Faculty of Biology, Institute of Aquatic Ecology</p> <p> Address: Universitätsstrasse 5</p> <p> Postal code, city: 45141 Essen</p> <p> Country: Germany</p> <p> Web address: <a href="https://www.uni-due.de/aquatic_ecology/">https://www.uni-due.de/aquatic_ecology/</a></p> <p><strong>Attribute description</strong></p> <p><strong>m_zhyd_1</strong></p> <ul> <li>Unique identifier of FEC (Functional Elementary Catchment)</li> <li>Data structure: character</li> </ul> <p><strong>mars_bt12</strong></p> <ul> <li>Broad river type aggregated</li> <li>Data structure: character</li> </ul> <p><strong>eco_stat_2</strong></p> <ul> <li>Ecological status (class)</li> <li>Data structure: character</li> </ul> <p><strong>eco_stat_n</strong></p> <ul> <li>Ecological status (numeric class)</li> <li>Data structure: integer</li> </ul> <p><strong>LoadTPArea</strong></p> <ul> <li>Total phosphorous riverine loading (unit: kg km<sup>-2</sup> a<sup>-1</sup>)</li> <li>Decimal separator: comma</li> <li>Data structure: double</li> </ul> <p><strong>LoadTN_Are</strong></p> <ul> <li>Total nitrogen riverine loading (unit: kg ha<sup>-1</sup> a<sup>-1</sup>)</li> <li>Decimal separator: comma</li> <li>Data structure: double</li> </ul> <p><strong>lu_r_urb</strong></p> <ul> <li>Percent urban land use in the riparian zone</li> <li>Decimal separator: comma</li> <li>Data structure: double</li> </ul> <p><strong>lu_r_agr</strong></p> <ul> <li>Percent agricultural land use in the riparian zone</li> <li>Decimal separator: comma</li> <li>Data structure: double</li> </ul> <p><strong>hy_maf_abs</strong></p> <ul> <li>Alteration of mean annual flow (ratio scale)</li> <li>Decimal separator: comma</li> <li>Data structure: double</li> </ul> <p><strong>hy_bfi_abs</strong></p> <ul> <li>Alteration of base flow (ratio scale)</li> <li>Decimal separator: comma</li> <li>Data structure: double</li> </ul> <p><strong>msPAFP5EC5</strong></p> <ul> <li>Multi-substance Potentially Affected Fraction of species (msPAF-EC<sub>50</sub> based on 95<sup>th</sup> percentile)</li> <li>Decimal separator: comma</li> <li>Data structure: double</li> </ul> <p><strong>Further information</strong></p> <p>For more details on the dataset, see</p> <p>(Manuscript accepted, wating for publication at the moment)<br> </p> <p><strong>Acknowledgements</strong></p> <p>This work was funded by the MARS project (Managing Aquatic ecosystems and water resources under multiple stress), funded by the European Union under the 7th Framework Programme, contract no. 603378.</p>
FIGURE 21 in Ypsolopha admirandella sp. n. (Lepidoptera: Ypsolophidae), a new European species from the steppes of Russia
FIGURE 21. Distribution of Ypsolopha admirandella; star marks the type locality.
Figure 2 from: Raes N, Casino A, Goodson H, Islam S, Koureas D, Schiller EK, Schulman L, Tilley L, Robertson T (2020) White paper on the alignment and interoperability between the Distributed System of Scientific Collections (DiSSCo) and EU infrastructures - The case of the European Environment Agency (EEA). Research Ideas and Outcomes 6: e62361. https://doi.org/10.3897/rio.6.e62361
Figure 2 The current and required implementation readiness levels for DiSSCo to enter the construction phase of the DiSSCo RI. The grey arrows indicate the tasks for the DiSSCo Prepare project.
Figure 3 from: Raes N, Casino A, Goodson H, Islam S, Koureas D, Schiller EK, Schulman L, Tilley L, Robertson T (2020) White paper on the alignment and interoperability between the Distributed System of Scientific Collections (DiSSCo) and EU infrastructures - The case of the European Environment Agency (EEA). Research Ideas and Outcomes 6: e62361. https://doi.org/10.3897/rio.6.e62361
Figure 3 An example of a simple Digital Specimen (Hardisty 2020). Arrows point to identifiers of linked information that was derived from or is related to the physical specimen it represents. dissco.tech blog post.
Figure 4 from: Raes N, Casino A, Goodson H, Islam S, Koureas D, Schiller EK, Schulman L, Tilley L, Robertson T (2020) White paper on the alignment and interoperability between the Distributed System of Scientific Collections (DiSSCo) and EU infrastructures - The case of the European Environment Agency (EEA). Research Ideas and Outcomes 6: e62361. https://doi.org/10.3897/rio.6.e62361
Figure 4 The links and interactions between the EEA, ETCs (European Topic Centres), NFPs (National Focal Points), and NRCs (National Reference Centres) - image from EEA website*25.
Pollution control can help mitigate future climate change impacts on European grayling in the UK
<p><span><u>Aim</u></span></p> <p><span>We compare the performance of habitat suitability models using climate data only or climate data together with water chemistry, land cover and predation pressure data to model the distribution of European grayling (<i>Thymallus thymallus</i>). From these models, we (1) investigate the relationship between habitat suitability and genetic diversity; (2) project the distribution of grayling under future climate change and (3) model the effects of habitat mitigation on future distributions. </span></p> <p><span><u>Location</u></span></p> <p><span>United Kingdom</span></p> <p><span><u>Methods</u></span></p> <p><span>Maxent species distribution modelling was implemented using a Simple model (only climate parameters) or a Full model (climate, water chemistry, land-use and predation pressure parameters). Areas of high and low habitat suitability were designated. Associations between habitat suitability and genetic diversity for both neutral and adaptive markers were examined. Distribution under minimal and maximal future climate change scenarios was modelled for 2050, incorporating projections of future flow scenarios obtained from the Centre for Ecology and Hydrology. To examine potential mitigation effects within habitats, models were run with manipulation of orthophosphate, nitrite and copper concentrations. </span></p> <p><span><u>Results</u></span></p> <p><span>We mapped suitable habitat for grayling in the present and the future. The full model achieved substantially higher discriminative power than the Simple model. For low suitability habitat, higher levels of inbreeding were observed for adaptive, but not neutral loci. Future projections predict a significant contraction of highly suitable areas. Under habitat mitigation, modelling suggests that recovery of suitable habitat of up to 10% is possible.</span></p> <p><span><u>Main conclusions</u></span></p> <p><span>Extending the climate-only model improves estimates of habitat suitability. Significantly higher inbreeding coefficients were found at immune genes, but not neutral markers in low suitability habitat indicating a possible impact of environmental stress on evolutionary potential. The potential for habitat mitigation to alleviate distributional changes under future climate change is demonstrated and specific recommendations are made for habitat recovery on a regional basis.</span></p>
FIGURE 2 in Checklist of the Dolichopodidae (Diptera, Empidoidea) of the Balkan Peninsula with first records for Bulgaria, Montenegro, North Macedonia, and for the European part of Turkey
FIGURE 2. European Turkey with collecting localities.
Adjudicating national context – elements of legal pluralism in the practice(s) of the European Court of Human Rights?
<p>Dataset for submission til German Law Journal. See Readme.txt for details.</p>
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