説明
データ レコード
この sampling event 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、156 レコードが含まれています。
拡張データ テーブルは2 件存在しています。拡張レコードは、コアのレコードについての追加情報を提供するものです。 各拡張データ テーブル内のレコード数を以下に示します。
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。:
Galiana García M (2024). Dataset of brown trout populations monitoring in Sierra Nevada (Spain). Version 2.0. Sierra Nevada Global Change Observatory. Andalusian Environmental Center, University of Granada, Regional Government of Andalusia. Samplingevent dataset. https://doi.org/10.15470/z4apo0
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 Sierra Nevada Global-Change Observatory (UGR-JA)。 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: d9db5c58-a94a-4e16-95ea-c2a3d7beb9ab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Sierra Nevada Global-Change Observatory (UGR-JA) が、このリソースをパブリッシュしました。
キーワード
Samplingevent; brown trout; rivers; Salmo trutta; Sierra Nevada; southern Iberian Peninsula; Spain
連絡先
- メタデータ提供者 ●
- 最初のデータ採集者 ●
- 連絡先
- Technician
- C/ Minerva 7. Edificio Zeus III, local
- +34680748325
- 連絡先
- Research Assistant
- Avenida del Mediterráneo s/n
- +34958249748
地理的範囲
Sierra Nevada is a mountain system located in the South of the Iberian Peninsula (Spain), shared by the provinces of Granada and Almería, and with an East-West arrangement. It covers 2,273 km2 and reaches a maximum altitude of 3,479 m a.s.l. in the Mulhacén summit. Due to its meridional situation in Europe, its proximity to the Mediterranean Sea and its high altitude, it represents a high gradient of climatic conditions, with representation of five out of six of the bioclimatic zones present in the Mediterranean region (from the thermo-mediterranean to the crioro-mediterranean). The Sierra Nevada Natural Area has an extensive hydrographic network made up of rivers and streams (as well as high mountain lakes), which are fed mainly by snow from the high peaks. It is worth highlighting the great diversity of ecotypes present, with an important representation of fluvial courses typified as high mountain rivers, Siliceous Mediterranean mountain rivers, Calcareous Mediterranean mountain rivers and mineralised Mediterranean low mountain rivers. This variety of ecotypes promote the existence of a great biodiversity.
座標(緯度経度) | 南 西 [36.985, -3.527], 北 東 [37.149, -2.888] |
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生物分類学的範囲
This dataset includes a total of 8,000 occurrence records of brown trout individuals (Salmo trutta Linnaeus, 1758).
Species | Salmo trutta Linnaeus, 1758 |
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時間的範囲
開始日 / 終了日 | 2007-11-15 / 2023-10-02 |
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プロジェクトデータ
The Sierra Nevada Global-Change Observatory (https://obsnev.es/) is an ambitious project promoted by the Department of Sustainability, Environment and Blue Economy of the Regional Government of Andalusia with the scientific coordination of the University of Granada, in order to monitor the effects of global change in the Sierra Nevada protected area. For this purpose, the Sierra Nevada Global-Change Observatory has developed a monitoring programme and an information system for appropriate data management. As part of this programme, a monitoring methodology was defined to long-term monitor brown trout populations (Galiana et al, 2014).
タイトル | Sierra Nevada Global-Change Observatory |
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識別子 | OBSNEV |
ファンデイング | This work was conducted under the agreement “Convenio de colaboración entre la Consejería de Sostenibilidad, Medio Ambiente y Economía Azul de la Junta de Andalucía y la Universidad de Granada para el desarrollo de actividades vinculadas al Observatorio de Cambio Global de Sierra Nevada, en el marco de la Red de Observatorios de Cambio Global de Andalucía”. |
プロジェクトに携わる要員:
収集方法
Field samplings are conducted by means of electrofishing qualitative surveys. To minimize fish mortality, electric current intensity is regulated depending on water conductivity (Johnson et al. 2007) at every sampling site. Fork length and weight data are collected for all fish captured during each electric fishing pass. Age is determined using a combination of length-frequency analysis following Petersen (1896) and scale-based method described by Steinmetz & Muller (1991) and Hining & West (2000). For more precise age determination, scales are collected from the area between the lateral line and dorsal fin of fish near age class boundaries and are subsequently analysed in the laboratory. Fulton's condition factor (Anderson & Neumann, 1996) was used to assess the condition of the trout individuals. Site habitat characteristics are annually recorded at each sampling station by applying specific sampling techniques for each case. These features include physiogeographic and values for quality indices: Cover Index (according to García de Jalón and Schmidt, 1995), Habitat Suitability Index (according to Consejería de Medio Ambiente y Ordenación del Territorio, 2014), Riparian Quality Index and Fluvial Habitat Index (according to Jáimez-Cuéllar et al., 2002).
Study Extent | Annual sampling campaigns are carried out, usually during the months of September to November, in 10 rivers of Sierra Nevada: Torrente, Andarax, Monachil, Genil, Trevélez, Alcázar, Alhorí, Poqueira, Dílar, and Arroyo del Palancón. A sampling station is established in each river, covering a total area of 400 m2. These stations cover an altitudinal gradient from 991 to 1,707 m.a.s.l. |
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Quality Control | A) Digitalisation: all data is digitalised through data entry web forms, which include several validation rules. B) Storage: all data is stored in Linaria (https://linaria.obsnev.es/), the institutional data repository of the Sierra Nevada Global-Change Observatory. Linaria is a normalised database focused on ecology and biodiversity related-data and it is developed in a PostgreSQL/PostGIS relational database management system (RDBMS). C) Locations validation: Sampling locations were checked with official spatial data of rivers (IGN and REDIAM). The “waterBody” Darwin Core element was completed with the names given by these official sources. D) Standardisation: the standardisation to Darwin Core was done according to the practices recommended by the TDWG guidelines (https://dwc.tdwg.org/terms/). |
Method step description:
- 1. All data is stored in Linaria (https://linaria.obsnev.es/), the institutional data repository of the Sierra Nevada Global-Change Observatory. 2. The dataset was standardised to the Darwin Core format (DwC-A) as sampling event data according to the structure proposed by De Pooter et al. (2017): an Event Core in combination with an Occurrence Extension and an Extended Measurement or Fact Extension. The DwC-A contains, specifically: 156 events, 8,000 occurrences, and 45,138 records of associated measurements (45 variables: 5 associated to occurrences and 40 to sampling events). The Darwin Core elements included in the Event Core are: eventID, modified, language, institutionCode, ownerInstitutionCode, datasetName, license, eventDate, year, month, day, continent, country, countryCode, waterBody, locationID, locationRemarks, minimumElevationInMeters, maximumElevationInMeters, decimalLatitude, decimalLongitude, geodeticDatum, samplingProtocol, sampleSizeValue, sampleSizeUnit, occurrenceStatus, eventRemarks. For the Occurrence Extension are: occurrenceID, collectionCode, eventID, eventDate, organismQuantity, organismQuantityType, basisOfRecord, scientificName, taxonRank, kingdom, phylum, class, order, family, genus, specificEpithet, scientificNameAuthorship. For the Extended Measurement or Fact Extension table, the Darwin Core elements included are: measurementID, eventID, occurrenceID, measurementType, measurementValue, measurementUnit and measurementMethod. 3. The resulting dataset was published through the Integrated Publishing Toolkit of the Spanish node of the Global Biodiversity Information Facility (GBIF) (http://ipt.gbif.es).
書誌情報の引用
- Anderson, R.O. & Neumann, R.M. 1996. Length, Weight, and Associated Structural Indices. En: Fisheries Techniques. Murphy, B.R, & Willis, D.W. (eds.).American Fisheries Society, Bethesda. 732 pp.
- Consejería de Medio Ambiente y Ordenación del Territorio, Junta de Andalucía. (2014) Programa de Recuperación de la trucha común en Andalucía, Censo andaluz de trucha común: Análisis poblacional de las Cuencas Trucheras Andaluzas. Informe técnico inédito. Agencia de Medio Ambiente y Agua, Junta de Andalucía.
- De Pooter D., et al. (2017) Toward a new data standard for combined marine biological and environmental datasets - expanding OBIS beyond species occurrences. Biodiversity Data Journal 5: e10989. https://doi.org/10.3897/BDJ.5.e10989
- Galiana M., Rubio S. & Galindo F.J. (2014) Monitoring of the common trout populations. Pp.: 44-45. In: Aspizua, R.; Barea-Azcón, J.M.; Bonet, F.J.; Pérez-Luque, A.J. & Zamora, R. (coords.). Sierra Nevada Global-Change Observatory: Monitoring Methodologies. Consejería de Medio Ambiente, Junta de Andalucía.
- García De Jalón, D. & Schmidt, G. (1995) Manual práctico para la gestión sostenible de pesca fluvial. Asociación para el Estudio y Mejora de los Salmónidos (AEMS). 169 pp.
- Hining, K.J. & West, J.L. 2000. Validation of scales and otholiths for estimating age of rainbow trout from southern Appalachian streams. North American Journal of Fisheries Management, 20: 978-985.
- Jáimez-Cuéllar, P., Vivas, S., Bonada, N., Robles, S., Mellado, A., Álvarez, M., …Alba-Tercedor, J. (2002). Protocolo Guadalmed (PRECE). Limnetica, 21, 187-204.
- Johnson DH, Shrier BM, O´Neal JS, Knutzen JA, Augerot X, O ´Neil TA, Pearsons TN. (2007) Salmonid field protocols handbook Techniques for assessing status and trends in Salmon and trout populations. Bethesda: American Fisheries Society in association with State of the Salmon.
- Petersen, C.G.J. 1896. The yearly immigration of young plaice into Linsfjord from the German sea. Report of the Danish Biological Station, 6: 1-48.
- Steinmetz, B. & Muller, R. 1991. An Atlas of Fish Scales and Other Bony Structures Used for Age Determination. Samara Publishing, Cardigan. 51 pp.
追加のメタデータ
代替識別子 | 10.15470/z4apo0 |
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https://ipt.gbif.es/resource?r=sn_trout |