Descripción
Observations of 13 key species over 12 years in Keo Seima Wildlife Sanctuary, Cambodia, recorded during standardized line transect surveys. Distance sampling and density surface models are used to analyze this data and produce population estimates.
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 2.569 registros.
también existen 2 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:
Agger C, Griffin O, Nuttall M, O'Kelly H (2022): Long-term monitoring of primate, bird, and ungulate populations 2010-2022 for protected area management, Keo Seima Wildlife Sanctuary, Cambodia. v1.8. WCS Cambodia. Dataset/Samplingevent. https://ipt.gbif.fr/resource?r=wcs_ksws_transect&v=1.8
Derechos
Los usuarios deben respetar los siguientes derechos de uso:
El publicador y propietario de los derechos de este trabajo es WCS Cambodia. 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: bcaaf133-5433-46ab-b2e3-a1a9f4ce84d1. WCS Cambodia publica este recurso y está registrado en GBIF como un publicador de datos avalado por Participant Node Managers Committee.
Palabras clave
Occurrence; distance sampling; density surface model; Cambodia; population trends; abundance estimates; Keo Seima Wildlife Sanctuary; yellow-cheeked crested gibbon; black-shanked douc; Samplingevent
Contactos
- Proveedor De Los Metadatos ●
- Originador ●
- Usuario ●
- Punto De Contacto
- Originador
- Originador
- Originador
Cobertura geográfica
Observations of species within the central area of Keo Seima Wildlife Sanctuary, Cambodia.
| Coordenadas límite | Latitud Mínima Longitud Mínima [12,056, 106,407], Latitud Máxima Longitud Máxima [12,612, 107,299] |
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Cobertura taxonómica
Black-shanked douc (Pygathrix nigripes), southern yellow-cheeked crested gibbon (Nomascus gabriellae), Germain's silver langur (Trachypithecus germaini), long-tailed macaque (Macaca fascicularis), northern pig-tailed macaque (Macaca leonina), stump-tailed macaque (Macaca arctoides), green peafowl (Pavo muticus), wild pig (Sus scrofa), northern red muntjac (Muntiacus vaginalis), banteng (Bos javanicus), gaur (Bos gaurus), Eld's deer (Rucervus eldii), sambar (Rusa unicolor). Records for banteng, gaur, Eld's deer, and sambar are not published here due to risk of poaching, but are available on request where appropriate.
| Especie | Sus scrofa (Wild pig), Muntiacus vaginalis (Northern red muntjac), Pygathrix nigripes (Black-shanked douc), Pavo muticus (Green peafowl), Trachypithecus germaini (Germain's silver langur), Macaca leonina (Northern pig-tailed macaque), Nomascus gabriellae (Southern yellow-cheeked crested gibbon), Macaca fascicularis (Long-tailed macaque), Rusa unicolor (Sambar), Macaca arctoides (Stump-tailed macaque), Rucervus eldii (Eld's deer), Bos gaurus (Gaur), Bos javanicus (Banteng) |
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Cobertura temporal
| Fecha Inicial / Fecha Final | 2010-01-01 / 2022-01-01 |
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Datos del proyecto
Long-term technical, operational, and financial support to the Royal Government of Cambodia for effective management of Keo Seima Wildlife Sanctuary (previously Seima Biodiversity Conservation Area, Seima Protection Forest).
| Título | Keo Seima Wildlife Sanctuary |
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| Fuentes de Financiación | United States Agency for International Development (USAID), Agence Française de Développement (AFD), US Fish and Wildlife Service, GEF-5 (CAMPAS), Royal Government of Cambodia Keo Seima REDD+ (KSWS REDD+) |
| Descripción del área de estudio | Keo Seima Wildlife Sanctuary (12.3346, 106.8418, formerly Seima Biodiversity Conservation Area and Seima Protection Forest) falls within Mondulkiri and Kratie provinces in eastern Cambodia, shares its southeastern edge with Vietnam, and has an area of 2,927 km2 (Fig. 1). The study area is the former core zone, an area of 1,880 km2 (Fig. 1). KSWS is characterized by a diverse mosaic of habitats; the southeastern area extends into the Southern Annamite Mountain Range with higher altitudinal mountainous topography, and dense evergreen and semi-evergreen forest (Evans et al. 2013). The central and western areas form the edge of the Eastern Plains Landscape, which is dominated by low altitudes and dry deciduous dipterocarp forests (O’Kelly et al. 2012; Evans et al. 2013). Complementing the altitudinal and habitat gradients are semi-natural grasslands and seasonal and permanent water bodies that together support rich biodiversity (Nuttall et al. 2017) . |
| Descripción del diseño | Data were collected jointly by the Wildlife Conservation Society (WCS) and the Forestry Administration of the Royal Government of Cambodia (RGC) between 2010 and 2016, and by WCS and the Ministry of Environment of the RGC in 2018 to 2022. Square line transects of 4 km length were arranged throughout KSWS in a systematic grid with a random start point, and field teams conducted distance sampling surveys along the 40 line transects in 2010, 2011, 2013, 2014, 2016, 2018, and 2020. Field teams recorded visual observations of 11 species that were listed as threatened on the IUCN Red List, or were easily detected on line transects, or both (see Table 1 for species and name abbreviations). Laser rangefinders and compasses were used to measure distances and angles from the line transect to detected objects, which constituted either isolated individuals or spatially aggregated individuals (clusters), and cluster sizes were recorded. Distances were measured to the geometric center of clusters. Perpendicular distances from detected objects to the line transect were calculated prior to analysis. Field protocols followed standard line transect methodology outlined in Buckland et al. (2001) and were consistent between years. For further details of field protocols see Supporting Information, O’Kelly et al. (2012), and Nuttall et al. (2017). |
Personas asociadas al proyecto:
- Investigador Principal
Métodos de muestreo
Data were collected jointly by the Wildlife Conservation Society (WCS) and the Forestry Administration of the Royal Government of Cambodia (RGC) between 2010 and 2016, and by WCS and the Ministry of Environment of the RGC in 2018 and 2020. Square line transects of 4 km length were arranged throughout KSWS in a systematic grid with a random start point, and field teams conducted distance sampling surveys along the 40 line transects in 2010, 2011, 2013, 2014, 2016, 2018, and 2020. Field teams recorded visual observations of 11 species that were listed as threatened on the IUCN Red List, or were easily detected on line transects, or both (see Table 1 for species and name abbreviations). Laser rangefinders and compasses were used to measure distances and angles from the line transect to detected objects, which constituted either isolated individuals or spatially aggregated individuals (clusters), and cluster sizes were recorded. Distances were measured to the geometric center of clusters. Perpendicular distances from detected objects to the line transect were calculated prior to analysis. Field protocols followed standard line transect methodology outlined in Buckland et al. (2001) and were consistent between years. For further details of field protocols see Supporting Information, O’Kelly et al. (2012), and Nuttall et al. (2017).
| Área de Estudio | The study area is the former core zone, an area of 1,880 km2. |
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| Control de Calidad | Square line transects can potentially cause detection bias around the corners, as animals on the inner side of the corner could be detected twice. Although double-counting does not in itself violate distance-sampling assumptions, bias may arise if the two sightings are non-independent, for example if the second sighting occurs because animals are still present at the location of the first sighting. To assess whether there was evidence of corner-bias in our data, we tested for differences in density of observations between corner areas and non-corner areas. The corner samples were obtained from all transect sections within 50 m of a corner, and the non-corner samples were obtained by two methods: firstly as all transect sections not within 50 m of a corner; and secondly by using 50 m transect sections around each of 1000 randomly-selected points, discarding any that overlapped with corner areas. For either method, observation density was calculated for the corner and non-corner samples and compared using a t-test. Neither method resulted in a significant difference in observation density between corner areas and non-corner areas, so no further action was taken to address corner effects. For 2010 and 2011 data, the time was not collected for observations, so linking observations to morning or evening events was not possible. Instead, the two events on a single date (morning and evening) were grouped, giving a higher total effort, and all observations for that date were assigned to the single event. This makes not difference to distance sampling analysis, but is noted to explain the apparent higher effort per event from those years. In fact, daily effort is generally equal across all years, but subdivided from 2013 onwards. |
Descripción de la metodología paso a paso:
- Anon during peer-review
Metadatos adicionales
| Propósito | Data are collected in order to estimate wildlife populations and distributions, used to inform protected area management. |
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| Identificadores alternativos | bcaaf133-5433-46ab-b2e3-a1a9f4ce84d1 |
| https://ipt.gbif.fr/resource?r=wcs_ksws_transect |