Literature records in MZNA-LIT: primary biodiversity records in environmental assessments in Spain

Registros de Dados

Os dados deste recurso de ocorrência foram publicados como um Darwin Core Archive (DwC-A), que é o formato padronizado para compartilhamento de dados de biodiversidade como um conjunto de uma ou mais tabelas de dados. A tabela de dados do núcleo contém 1.263 registros.

Também existem 1 tabelas de dados de extensão. Um registro de extensão fornece informações adicionais sobre um registro do núcleo. O número de registros em cada tabela de dados de extensão é ilustrado abaixo.

This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.

Versões

A tabela abaixo mostra apenas versões de recursos que são publicamente acessíveis.

Como citar

Pesquisadores deveriam citar esta obra da seguinte maneira:

MZNA (2024). Literature records in MZNA-LIT: primary biodiversity records in environmental assessments in Spain. v1.2. University of Navarra, Museum of Zoology. Occurrence dataset. https://doi.org/10.15470/bvznpy

Direitos

Pesquisadores devem respeitar a seguinte declaração de direitos:

O editor e o detentor dos direitos deste trabalho é University of Navarra – Department of Environmental Biology. This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF Registration

Este recurso foi registrado no GBIF e atribuído ao seguinte GBIF UUID: 3d6fbb6d-8699-4f93-9adc-c1fd6bc03f4e.  University of Navarra – Department of Environmental Biology publica este recurso, e está registrado no GBIF como um publicador de dados aprovado por GBIF Spain.

Palavras-chave

Occurrence; Observation; Environmental Assessment; Protected species; Public archives; Dark Data

Contatos

Cobertura Geográfica

The data set primarily comprises occurrence records from Peninsular Spain (99.84%). It also includes two other records from the Balearic and Canary Islands.

Cobertura Taxonômica

The data set comprises records of 59 species corresponding to five classes, 16 orders, and 23 families. The species correspond to 31 non-Chiroptera threatened species listed in the Spanish Catalogue of Threatened Species (11 endangered and 20 vulnerable) and 28 Chiroptera species (one endangered, 11 vulnerable, and 16 listed in the List of Wild Species under Special Protection Regime).

Cobertura Temporal

Dados Sobre o Projeto

This thesis aims to enhance the efficiency of biodiversity data management to improve conservation efforts. It examines the dark data generated from environmental management-related activities, which often remain misused due to accessibility challenges. By identifying barriers to data flow, assessing data mobilization impacts on national biodiversity understanding, and developing improved data protocols, the project seeks to make critical biodiversity information more accessible and usable. The ultimate goal is to ensure that high-quality biodiversity data is available for informed decision-making and effective conservation planning, following FAIR data principles (Findable, Accessible, Interoperable, Reusable).

O pessoal envolvido no projeto:

Métodos de Amostragem

We searched environmental Records of Decision (RODs) in the Official State Gazette (https://www.boe.es/) to identify pronouncements with biodiversity data. We processed these reports and automatically detected species citations. Those fieldwork-based records, so-called Primary Biodiversity Records, constitute this published data set.

Descrição dos passos do método:

1. Environmental Records of Decision (RODs) were collected from the Official State Gazette by searching for “evaluación ambiental” in the “Other provisions” database. Using the Octoparse data scraper (Octoparse, n.d.), we extracted the content of these pronouncements as text strings for further analysis. Species citations were automatically detected using RStudio (R Core Team, 2022), considering scientific names, common names, and possible synonyms included in the CEEA and the LESRPE. These species records were manually reviewed and categorized into three types: Primary Biodiversity Record (PBR, based on fieldwork), absence (species not recorded despite fieldwork), and literature-based. PBRs were georeferenced a posteriori using Google Maps (https://www.google.com/maps), calculating their uncertainty following best practice guidelines (Chapman & Wieczorek, 2020; Marcer et al., 2020). The data were incorporated into the MZNA database (Zootron v4.5; Ariño, 1991) and were standardized following the Darwin Core Standard (Darwin Core Maintenance Group, 2023), resulting in a database with 32 fields.

Citações bibliográficas

1. Kohavi, R. & Provost, F. (1998). Glossary of term. Machine Learning, 30: 271‑274. https://doi.org/10.1023/a:1017181826899. https://doi.org/10.1023/a:1017181826899
2. Fahmy Amin, M. (2022). Confusion Matrix in Binary Classification Problems: A Step-by-Step Tutorial. Journal of Engineering Research, 6(5). https://doi.org/10.21608/erjeng.2022.274526. https://doi.org/10.21608/erjeng.2022.274526
3. Marcer, A., Haston, E., Groom, Q., Ariño, A., Chapman, A., Bakken, T., Braun, P., Dillen, M., Ernst, M., Escobar, A., Fichtmüller, D., Livermore, L., Nicolson, N., Paragamian, K., Paul, D., Pettersson, L., Phillips, S., Plummer, J., Rainer, H., Rey, I., Robertson, T., Röpert, D., Santos, J., Uribe, F., Waller, J., Wieczorek, J. (2020). Quality issues in georeferencing: From physical collections to digital data repositories for ecological research. Diversity and distributions, 27(3): 564‑567. https://doi.org/10.1111/ddi.13208. https://doi.org/10.1111/ddi.13208
4. Octoparse. (n.d.). Web scraping tool & free web crawlers. https://www.octoparse.com/. https://www.octoparse.com/
5. R Core Team. (2022). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna. URL: https://www.R-project.org. https://www.R-project.org
6. Chapman, A. & Wieczorek, J. (2020). Georeferencing Best Practices. GBIF Secretariat, Copenhagen. https://doi.org/10.15468/doc-gg7h-s853. https://doi.org/10.15468/doc-gg7h-s853
7. Ariño, A. H. (1991). Bibliography of Iberian Polychaetes: a data base. Ophelia, suppl. 5: 647–652. https://doi.org/10.1163/9789004629745_068. https://doi.org/10.1163/9789004629745_068
8. Darwin Core Maintenance Group (2023) Darwin Core List of Terms. Biodiversity Information Standards (TDWG). http://rs.tdwg.org/dwc/doc/list/2023-09-18. http://rs.tdwg.org/dwc/doc/list/2023-09-18

Metadados Adicionais