Data set: Only-presence data for wild ungulates and red fox in Spain based on hunting yields

データ レコード

この オカレンス（観察データと標本) リソース内のデータは、1 つまたは複数のデータ テーブルとして生物多様性データを共有するための標準化された形式であるダーウィン コア アーカイブ (DwC-A) として公開されています。 コア データ テーブルには、1,818,198 レコードが含まれています。

この IPT はデータをアーカイブし、データ リポジトリとして機能します。データとリソースのメタデータは、 ダウンロード セクションからダウンロードできます。 バージョン テーブルから公開可能な他のバージョンを閲覧でき、リソースに加えられた変更を知ることができます。

バージョン

次の表は、公にアクセス可能な公開バージョンのリソースのみ表示しています。

引用方法

研究者はこの研究内容を以下のように引用する必要があります。:

Illanas S, Fernández-López J, Vicente J, Ruiz-Rodríguez C, López-Padilla S, Sebastián-Pardo M, Preite L, Gómez-Molina A, Acevedo P, Blanco-Aguiar J A (2024). Data set: Only-presence data for wild ungulates and red fox in Spain based on hunting yields. Version 1.4. Instituto de Investigación en Recursos Cinegéticos (IREC /CSIC-UCLM-JCCM). Occurrence dataset. https://doi.org/10.15470/lve3wn

権利

研究者は権利に関する下記ステートメントを尊重する必要があります。:

パブリッシャーとライセンス保持者権利者は Instituto de Investigación en Recursos Cinegéticos (IREC /CSIC-UCLM-JCCM)。 This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF登録

このリソースをはGBIF と登録されており GBIF UUID: 7d0fc7c6-2b5a-45ee-ab93-dadc06c30ffaが割り当てられています。   GBIF Spain によって承認されたデータ パブリッシャーとして GBIF に登録されているInstituto de Investigación en Recursos Cinegéticos (IREC /CSIC-UCLM-JCCM) が、このリソースをパブリッシュしました。

キーワード

Occurrence; mammals; hunting; wildlife conservation

連絡先

地理的範囲

The data set reports information mainly from the different regions of mainland Spain (all administrative Autonomous Communities ) including updates of information from the archipelagos of the Canary Islands and the Balearic Islands, where these species are prevalent and hunted. Hunting yield information was transferred into only-presence 5 x 5 km grid resolution of the European Environment Agency

生物分類学的範囲

It includes information on species of wild ungulates and the red fox that are legally hunted in the different territories of Spain.

時間的範囲

プロジェクトデータ

This database is the result of a longterm effort to collect and standardise information that has been made possible thanks to the various projects that have made it possible to compile this information. One of the objectives of this project is to collect long-term data sources, especially hunting bags at the highest spatial resolution available, which will allow an assessment of the removals made to be applied in the modeling of species distribution. ENETWILD and EOW, I+D+i HAWIPO Project (PID2019-111699RB-I00), I+D+I AGROBOAR Project (PID2022-142919OB-100), funded by MCIU/AEI/10.13039/501100011033/y–FEDER–EU, and FAUNET (CSIC-MAPA)

プロジェクトに携わる要員:

収集方法

Annual hunting yield at hunting ground level data from 2013/2014 to 2022/2023 hunting seasons for wild ungulate and red fox were collected in Spain (the information will be updated within this period). Due to privacy restrictions and the differing spatial coverage of the information may vary from one year to year, only recorded occurrences (presences) are reported. Hunting yield information collected thanks to all administrative services from different Autonomous Communities: Diputación Foral de Álava, Diputación Foral de Bizkaia, Diputación Foral de Gipuzkoa, Generalitat de Cataluña, Generalitat Valenciana, Gobierno de Aragón, Gobierno de Cantabria, Gobierno de la Comunidad de Madrid, Gobierno de la Región de Murcia, Gobierno de La Rioja, Gobierno del Principado de Asturias, Gobierno de Navarra, Junta de Andalucía, Junta de Castilla y León, Junta de Comunidades de Castilla-La Mancha, Junta de Extremadura, Junta de Galicia... was transferred into only-presence 5 x 5 km grid resolution of the European Environment Agency by hunted species and year.

Method step description:

1. Data received from game services of each Autonomous Community in Spain, were standardized following the Wildlife Data Model (WLDM; see template at: https://zenodo.org/records/3735781) which follows the Darwin Core Criteria. Data transformation from received reports to WLDM template was done manually, since each Autonomous Community has their own (different) system/data set structure and was validated using information validation tool. Once a dataset had been harmonized, it was joined with correspondent spatial data (hunting ground perimeters) and the data structure validated using shinyIVT app (10.5281/zenodo.8358634). For data management, we used tidyverse 2.0.0 and sf 1.0 packages of R 4.3.1 software. The information was presented in the 5 x 5 km squared grid of the European Environment Agency25 masked with Spain. After that, only-presence of each species was transferred to the grid separately for each hunting season and species. A cell was considered as presence for a hunting season only if at least one individual has been hunted in an overlapping hunting estate, by using the function gridPresence (https://github.com/robinilla/gridPresence). Otherwise, the cell remained as unknown presence. It must be remarked that the later does not mean the species is absent in that cell, it just informs that it has not been hunted or reported, but no further inferences could be made about the absence of the species’ register.

追加のメタデータ