Dataset.

Supplementary Material 1. Consistency in impact assessments of invasive species is generally high and depends on protocols and impact types

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/358469
Digital.CSIC. Repositorio Institucional del CSIC
  • Bernardo-Madrid, Rubén
Data type: Tables., Explanation note: Table S1. Species evaluated with impact assessments. Table S2. Classification of the impact questions into the different impact types. Table S3. GProt-Spp per impact assessment. Inter-rater reliability using all impact questions of the protocol. Table S4. Summary of the principal and sensitivity analyses performed to study the influence of different factors on the consistency of responses in protocol questions. Table S5. Queries used to search scientific articles in Web of Science. Table S6. Models used to evaluate the influence of the protocol and taxonomic group in assessor consistency. Table S7. Saturated models for the two nested model to unravel the influence of impact types and their potential interaction with the taxonomic groups. Table S8. The 10 regression models with the lowest AICc to evaluate the influence of the protocol and the taxonomic groups. Table S9. Tukey post-hoc for the variable protocol in the model including the variable taxonomic group. Table S10. Tukey post-hoc for the variable protocol in the model including the number of assessors. Table S11. Consensus Tukey post-hoc for the variable impact type. Table S12. Variance partitioning of the models to unravel the shared variance of the variable protocol with the number of responses per protocol question and impact types. Table S13. GProt-Quest per protocol question. Inter-rater reliability per question when considering the impact scores of all species of the same taxonomic group., This dataset is made available under the Open Database License (http://opendatacommons.org/licenses/odbl/1.0/). The Open Database License (ODbL) is a license agreement intended to allow users to freely share, modify, and use this Dataset while maintaining this same freedom for others, provided that the original source and author(s) are credited., Peer reviewed
 
DOI: http://hdl.handle.net/10261/358469
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/358469

HANDLE: http://hdl.handle.net/10261/358469
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/358469
 
Ver en: http://hdl.handle.net/10261/358469
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/358469

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/358469
Dataset. 2022

SUPPLEMENTARY MATERIAL 1. CONSISTENCY IN IMPACT ASSESSMENTS OF INVASIVE SPECIES IS GENERALLY HIGH AND DEPENDS ON PROTOCOLS AND IMPACT TYPES

Digital.CSIC. Repositorio Institucional del CSIC
  • Bernardo-Madrid, Rubén
Data type: Tables., Explanation note: Table S1. Species evaluated with impact assessments. Table S2. Classification of the impact questions into the different impact types. Table S3. GProt-Spp per impact assessment. Inter-rater reliability using all impact questions of the protocol. Table S4. Summary of the principal and sensitivity analyses performed to study the influence of different factors on the consistency of responses in protocol questions. Table S5. Queries used to search scientific articles in Web of Science. Table S6. Models used to evaluate the influence of the protocol and taxonomic group in assessor consistency. Table S7. Saturated models for the two nested model to unravel the influence of impact types and their potential interaction with the taxonomic groups. Table S8. The 10 regression models with the lowest AICc to evaluate the influence of the protocol and the taxonomic groups. Table S9. Tukey post-hoc for the variable protocol in the model including the variable taxonomic group. Table S10. Tukey post-hoc for the variable protocol in the model including the number of assessors. Table S11. Consensus Tukey post-hoc for the variable impact type. Table S12. Variance partitioning of the models to unravel the shared variance of the variable protocol with the number of responses per protocol question and impact types. Table S13. GProt-Quest per protocol question. Inter-rater reliability per question when considering the impact scores of all species of the same taxonomic group., This dataset is made available under the Open Database License (http://opendatacommons.org/licenses/odbl/1.0/). The Open Database License (ODbL) is a license agreement intended to allow users to freely share, modify, and use this Dataset while maintaining this same freedom for others, provided that the original source and author(s) are credited., Peer reviewed




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