Descripción
Daily aggregated wildlife camera trap data from alpine regions in south-central Norway from 2011 to 2020. The data stems from several projects which have aimed to document the occurrence of Arctic fox in relation to its most common competitors and predators (red fox, wolverine, golden eagle and white-tailed eagle).
Registros
Los datos en este recurso de evento de muestreo han sido publicados como Archivo Darwin Core(DwC-A), el cual es un formato estándar para compartir datos de biodiversidad como un conjunto de una o más tablas de datos. La tabla de datos del core contiene 13.563 registros.
también existen 1 tablas de datos de extensiones. Un registro en una extensión provee información adicional sobre un registro en el core. El número de registros en cada tabla de datos de la extensión se ilustra a continuación.
Este IPT archiva los datos y, por lo tanto, sirve como repositorio de datos. Los datos y los metadatos del recurso están disponibles para su descarga en la sección descargas. La tabla versiones enumera otras versiones del recurso que se han puesto a disposición del público y permite seguir los cambios realizados en el recurso a lo largo del tiempo.
Versiones
La siguiente tabla muestra sólo las versiones publicadas del recurso que son de acceso público.
¿Cómo referenciar?
Los usuarios deben citar este trabajo de la siguiente manera:
Rød-Eriksen L (2023): Wildlife camera monitoring of a Norwegian alpine carnivore guild 2011-2020. v1.0. Norwegian Institute for Nature Research. Dataset/Samplingevent. https://ipt.nina.no/resource?r=alpine_camera11_20&v=1.0
Derechos
Los usuarios deben respetar los siguientes derechos de uso:
El publicador y propietario de los derechos de este trabajo es Norwegian Institute for Nature Research. Esta obra está bajo una licencia Creative Commons de Atribución/Reconocimiento (CC-BY 4.0).
Registro GBIF
Este recurso ha sido registrado en GBIF con el siguiente UUID: 69e0cd24-c934-45d4-afd3-a28fe3f37e92. Norwegian Institute for Nature Research publica este recurso y está registrado en GBIF como un publicador de datos avalado por GBIF Norway.
Palabras clave
Samplingevent; fjellrev; kongeørn; rødrev; havørn; jerv; arctic fox; golden eagle; red fox; white-tailed eagle; wolverine; vulpes lagopus; aquila chrysaetos; vulpes vulpes; haliaeetus albicilla; gulo gulo; camera trap; alpine; Norway
Contactos
- Proveedor De Los Metadatos ●
- Originador ●
- Punto De Contacto
http://orcid.org/0000-0003-0482-4384
- Proveedor De Los Metadatos
- Punto De Contacto
Cobertura geográfica
The data has been collected within four major mountain areas in south-central Norway: Børgefjell (65°11′00″N 13°54′00″E), Blåfjella-Skjækerfjella-Lierne (64°13′00″N 13°06′33″E), Sylan-Kjølifjell-Forollhogna (62°40′45″N 10°47′30″E) and Dovrefjell-Sunndalsfjella (62°23′48″N 9°10′23″E).
| Coordenadas límite | Latitud Mínima Longitud Mínima [62,282, 8,249], Latitud Máxima Longitud Máxima [65,42, 14,561] |
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Cobertura taxonómica
All positive camera trap observations were identified to species. Both the blue and white morph of the Arctic fox was detected, but aggregated to detection/non-detection of the species. Eagle observations were reviewed by experts for correct species classification.
| Especie | Haliaeetus albicilla (White-tailed eagle), Aquila chrysaetos (Golden eagle), Gulo gulo (Wolverine), Vulpes lagopus (Arctic fox), Vulpes vulpes (Red fox) |
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Cobertura temporal
| Fecha Inicial / Fecha Final | 2011-03-01 / 2020-05-05 |
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Datos del proyecto
The Norwegian Institute for Nature Research (NINA) has monitored the endangered Arctic fox in Norway closely for the past 20 years. As part of several projects aimed to increase our understanding of Arctic fox distribution and population dynamics, as well as the interaction between Arctic fox and potential competitors and predators, wildlife camera monitoring at simulated carcasses was utilized as a non-invasive method from 2011. A total of 52 wildlife cameras were deployed in four mountain regions with documented occurrence of Arctic fox. The cameras were active from March to May each year, as this a time when the Arctic fox is highly active due to breeding and denning.
| Título | Monitoring of Arctic fox in alpine areas of south-central Norway |
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| Fuentes de Financiación | Data collection was funded by the Norwegian Environment Agency (Ecosystem Børgefjell, grant no. 20087419) and the Scandinavian EU/InterReg-projects Felles Fjellrev I and II (grant no. 20200939). Parts of the image processing was done through the project ECOFUNC funded by the Norwegian Research Council (grant no. 244557/E50). |
| Descripción del área de estudio | The study was carried out within four mountain regions in south-central Norway; Børgefjell (65°11′00″N 13°54′00″E), Blåfjella-Skjækerfjella-Lierne (64°13′00″N 13°06′33″E), Sylan-Kjølifjell-Forollhogna (62°40′45″N 10°47′30″E) and Dovrefjell-Sunndalsfjella (62°23′48″N 9°10′23″E). Common characteristics of the study regions are that they represent historical breeding grounds for the Arctic fox (from the forest line and upwards), and that they all contain varying densities of resource competitors such as the red fox, and predators such as the wolverine, golden eagle and white-tailed eagle. Typical prey species for the carnivore guild include Norwegian lemming Lemmus lemmus, vole Microtus spp. and Myodes spp., mountain hare Lepus timidus, ptarmigan Lagopus spp. and reindeer Rangifer tarandus. Conservation actions, such as translocation of individuals from captive breeding, supplementary feeding and culling of competitors (red fox) were carried out in all regions except for Børgefjell (control area). |
| Descripción del diseño | Camera traps were placed semi-randomly (adjusted for topography) above the tree line, with an average of 10 kilometers between each camera, within each mountain region in 2011. Cameras were placed at the same location in each subsequent year. A total of 52 camera traps were utilized, and were active from approximately 15th of March to 15th of May each year, although with some variation in the number of active camera traps and the duration of trapping between years. Cameras were mounted on a wooden pole about 1.5 meters above the ground/snow level, aimed at the simulated carcass (bait). The carcass consisted of a frozen block of approximately 20 kilograms of scraps and trimmings from locally slaughtered reindeer. Cameras were controlled twice during the active period, and the simulated carcass was replenished after approximately three weeks. All cameras were set to a time lapse of 5 minutes. |
Personas asociadas al proyecto:
Métodos de muestreo
Camera traps were set to a 5 minute time lapse interval. Memory cards and batteries were checked by field personnel twice during the sampling period per year (once after three weeks, and then again after 4-5 weeks when the camera was deactivated). Memory cards were sent by mail to, or shared electronically with, the project owner. Images were then copied to a central data server with scheduled backups at NINA. Image processing was carried out by NINA personnel and students attached to related research projects.
| Área de Estudio | Sampling was carried out from March to May in each mountain region in each year. The region of Dovrefjell-Sunndalsfjella (62°23′48″N 9°10′23″E; 18 cameras) only had sampling for the first three years (2011-2013), whereas Sylan-Kjølifjell-Forollhogna (62°40′45″N 10°47′30″E; 7 cameras) was sampled from 2011 to 2019. The other two areas, Børgefjell (65°11′00″N 13°54′00″E; 17 cameras) and Blåfjella-Skjækerfjella-Lierne (64°13′00″N 13°06′33″E; 10 cameras), were sampled for the whole study period 2011-2020. |
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| Control de Calidad | Prior to the initial deployment of cameras, NINA developed a standard protocol for camera trap studies. The protocol included sections on how to prepare for the field work (camera configuration, equipment list, geographic information, handling of carcasses etc.) and how to correctly place the cameras (height above ground, angling towards carcass, direction of camera to avoid direct sunlight etc.) for best possible data quality. The protocol also included clear instructions on how to share the images with the project owner. Default equipment were either replaced immediately (if possible) or during the camera checks. During image processing, quality control was performed by doing double processing by two different people of randomly selected parts of the data. Any decrepancies were assessed and the data set corrected. The complete dataset was controlled again through an automated script during compilation and preparation for open publication. |
Descripción de la metodología paso a paso:
- The images stored in the central data server were processed by first applying a script (using the R language) to extract image metadata (filename, date/time, camera serial number, recorded temperature etc.). The resulting text files (CSV) were formatted to a predefined template used to manually process the images. Image processing included recording of both empty and non-empty images, where non-empty images were classified to observed species, as well as registering potential failed pictures (technical failures, snow/ice on camera lens or other failure that made species identification impossible). In addition, the status of the carcass was recorded as either present (available) or absent (consumed). All image metadata were then compiled and stored in a central SQLite database. During compilation, the quality of the data set was verified through checking that each metadata file was formatted uniformly, that data was recorded for the correct parameter, standardization of nomenclature, and verifying correct association between observations and geographical location. The final data set was then aggregated to daily detections/non-detections of each target species and formatted to fit the Darwin Core standard.
Metadatos adicionales
Parts of this data set have been utilized in Rød-Eriksen et al. (2022): https://besjournals.onlinelibrary.wiley.com/doi/10.1111/1365-2656.13875
| Descripción de mantenimiento | The projects from which the data is collected have ended, and the dataset will not be updated |
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| Identificadores alternativos | https://ipt.nina.no/resource?r=alpine_camera11_20 |