Aranzadi Ringing Scheme (bird ring-recovery data)

資料紀錄

此資源出現紀錄的資料已發佈為達爾文核心集檔案（DwC-A），其以一或多組資料表構成分享生物多樣性資料的標準格式。 核心資料表包含 476,743 筆紀錄。

此 IPT 存放資料以提供資料儲存庫服務。資料與資源的詮釋資料可由「下載」單元下載。「版本」表格列出此資源的其它公開版本，以便利追蹤其隨時間的變更。

版本

以下的表格只顯示可公開存取資源的已發布版本。

如何引用

研究者應依照以下指示引用此資源。:

Arizaga Martínez J (2024). Aranzadi Ringing Scheme (bird ring-recovery data). Version 2.28. Aranzadi Science Society. Occurrence dataset. https://doi.org/10.15470/gprffz

權利

研究者應尊重以下權利聲明。:

此資料的發布者及權利單位為 Aranzadi Science Society。 This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF 註冊

此資源已向GBIF註冊，並指定以下之GBIF UUID: 52f2051b-c47e-403a-8e32-04b2f2273c20。  Aranzadi Science Society 發佈此資源，並經由GBIF Spain同意向GBIF註冊成為資料發佈者。

關鍵字

Birds; Europe; Ringing; Ring-recovery data; Aranzadi Sciences Society; Banding; Aves;; Observation; Occurrence

聯絡資訊

地理涵蓋範圍

Europe, Africa, Asia and America

分類群涵蓋範圍

無相關描述

時間涵蓋範圍

取樣方法

無相關描述

方法步驟描述:

1. Data collection is carried out using the EURING code standards, i.e., controlled vocabularies as stated by EURING (Speek et al. 2001). There are more than 60 fields that, overall, fix the criteria to register data on the ringing scheme, ring code and the use of other marks, species, catching method, sex and age, date, time, geographical position (coordinates), several fields related with individual biological traits (morphology, moult, brood size, etc.), and the condition and circumstance of the encounter (e.g., ringed, shot, etc.). Specific comments to be highlighted regarding methodological questions: (1) Species. Currently, both EURING and the ARS use the IOC (International Ornithological Congress) taxonomy. (2) For the specific case of the ARS databank, we must notice that the data in the field are collected through different methods, depending on the nature and aims of each ringing project. Such methods include, among many other techniques (Bub et al. 1996), mist nets at constant effort sites working under standardized protocols (e.g., Arizaga et al. 2022), chicks captured by hand in their nests (e.g., in colonies of seabirds, raptors breeding either in cliffs or trees, etc.), spring traps baited with insects to capture some territorial small passerine birds, clap nets, etc. Overall, the data can belong to one of the following two main project type categories: (1) projects coordinated directly from the ARS, most of which are based on constant effort sites using standardized mist-netting (Ralph and Dunn 2004), or (2) specific projects, normally created and managed by individual ringers or groups of ringers, e.g. designed to monitor given species (e.g., long-term population dynamics survey protocols), to promote and enhance training capacities, to environmental education and formation, etc. (3) Currently, the coordinates are taken with great accuracy, but in the past the accuracy of a locality was normally of ±5 km. Since birds are very mobile beings, this low accuracy poses no major impact on quality of the data bank. Before inserting new data into the system, a series of filters are applied to guarantee a minimum quality of the data: (1) in all the fields having categorical nature (that is, values are chosen from a closed list of possible values), such as the species and catching method, the system automatically checks for the consistency of values; (2) the coordinates are examined to detect impossible values (e.g., offshore or at an impossible latitude or longitude); (3) in recoveries, it is checked whether recovery date was not before ringing date and whether the species identified when the bird was ringed was the same of that reported for the recovery. The ARS Databank contain a record for each ring set or recovered, that is, each record corresponds to an individual bird. The ARS Databank contains 1773910 records (December 2023) and it is continually updated with new ones. Up to the decade of 1990, the mean number of ringings per decade was around 20,000 (but note that many ringings for the period 1950-1970 remain to be digitalized; Fig. 3A). This pattern started to change in 2000, and definitively in 2010, with almost 1,000,000 ringings, due to the incorporation of many ringers that until then had been using the ‘Ministry of Environment’ rings from the Government of Spain. A similar pattern can be seen for recoveries (Fig 3B). Up to 1990, the mean number of recoveries per decade was around 500 recoveries. Note also that, in older times, ringers were obliged to register only long-distance (>10 km), long-temporal (>1 year) or foreign recoveries, so many within-site recoveries were simply non-recorded within the ARS databank. The summarised bird ring-recovery data set here described (i.e., the data set published in GBIF) derives from the ARS Databank through a data aggregation process. The ARS Databank records are combined in one record in the published dataset when they have the same values for the following parameters: 1. Date. Recorded under "day", "month", "year , and "verbatimEventDate" 2. Species. Recorded using the DwC terms for taxon. 3. Sampling protocol. Recorded under "samplingProtocol", following the EURING controlled vocabulary (Speek et al. 2001). 4. Whether the records correspond to a new ringing or to a recovery, provided under "dynamicProperties" 5. Condition (bird found alive, dead or sick or wounded), according to the EURING controlled vocabulary (Speek et al. 2001), provided under "dynamicProperties" 6. Circumstance of the encounter, according to the EURING controlled vocabulary (Speek et al. 2001), provided under "dynamicProperties". The number of records combined in each case is shown under "individualCount".

額外的詮釋資料