Mammals – Point Surveys – Spain – 2023–2025 – MOMAT Project

Data Records

The data in this occurrence resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 2,406 records.

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.

Versions

The table below shows only published versions of the resource that are publicly accessible.

How to cite

Researchers should cite this work as follows:

Rodríguez-Rodríguez E J, Matutano J, Calzada J, Fernández-López J, Palomo J, Rouco C, Santoro S, Román J (2026). Mammals – Point Surveys – Spain – 2023–2025 – MOMAT Project. Version 2.1. Sociedad Ibérica para la Conservación y Estudio de los Mamíferos (SECEM). Occurrence dataset. https://doi.org/10.15470/ex4qxa

Rights

Researchers should respect the following rights statement:

The publisher and rights holder of this work is Sociedad Ibérica para la Conservación y Estudio de los Mamíferos (SECEM). This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF Registration

This resource has been registered with GBIF, and assigned the following GBIF UUID: 460daf52-49b6-4206-84b9-62a23b181f37.  Sociedad Ibérica para la Conservación y Estudio de los Mamíferos (SECEM) publishes this resource, and is itself registered in GBIF as a data publisher endorsed by GBIF Spain.

Keywords

Occurrence; Observation

Contacts

Geographic Coverage

The study area encompasses the entire Spanish territory, including the Iberian Peninsula, the Balearic Islands, the Canary Islands, Ceuta, and Melilla.

Temporal Coverage

Project Data

State and EU regulations require Member States to monitor, track, and assess various species of terrestrial mammals. Periodically, it is necessary to update reports and Red Lists, which are essential for defining appropriate management measures to protect and promote biodiversity in our country. In this context, the project developed by SECEM together with TRAGSATEC (2024–2025) was launched, in which a Terrestrial Mammal Monitoring plan (MOMAT) was designed. Its objective is to gather information on most mammal species that currently lack specific monitoring programs. At present, the MOMAT project operates thanks to volunteer participation. The data collected help improve knowledge about the species included both in the annexes of the Habitats Directive and in the EU Regulation on invasive alien species. All the information generated will contribute to future updates of the Atlas and Red Book of Terrestrial Mammals of Spain, facilitating a better understanding of our fauna and supporting more effective decision-making in conservation.

The personnel involved in the project:

Sampling Methods

Multispecies point surveys were conducted at three fixed locations per grid cell, chosen for their likelihood of detecting terrestrial and aquatic species. Surveys followed a standardized protocol with a fixed duration, recording species via direct observation or indirect signs (tracks, faeces, feeding remains). All observations were georeferenced and validated using the same digital tools and expert review as other datasets to ensure consistency.

Method step description:

1. Multispecies point surveys were conducted at three fixed locations per grid cell, selected for their suitability to detect terrestrial and aquatic species, such as under bridges, at road crossings, or along riverbanks, where animals are likely to leave traces. Surveys followed a standardised point-based protocol with a fixed duration per sampling event. Both aquatic and non-aquatic species were recorded through direct observation or indirect evidence (tracks, faeces, feeding remains). Observations were georeferenced and recorded using the same digital tools and expert validation procedures as the other datasets, ensuring consistency across data sources.

Additional Metadata