Long-term monitoring of primate, bird, and ungulate populations 2010-2022 for protected area management, Keo Seima Wildlife Sanctuary, Cambodia

Данные в формате DwC-A	Скачать 2 569 Записи в English (198 KB) - Частота обновления: as needed
Метаданные в формате EML	Скачать в English (18 KB)
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Описание

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.

Записи данных

Данные этого sampling event ресурса были опубликованы в виде Darwin Core Archive (DwC-A), который является стандартным форматом для обмена данными о биоразнообразии в виде набора из одной или нескольких таблиц. Основная таблица данных содержит 2 569 записей.

Также в наличии 2 таблиц с данными расширений. Записи расширений содержат дополнительную информацию об основной записи. Число записей в каждой таблице данных расширения показано ниже.

2569

5420

Данный экземпляр IPT архивирует данные и таким образом служит хранилищем данных. Данные и метаданные ресурсов доступны для скачивания в разделе Загрузки. В таблице версий перечислены другие версии ресурса, которые были доступны публично, что позволяет отслеживать изменения, внесенные в ресурс с течением времени.

Версии

В таблице ниже указаны только опубликованные версии ресурса, которые доступны для свободного скачивания.

Как оформить ссылку

Исследователи должны дать ссылку на эту работу следующим образом:

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

Права

Исследователи должны соблюдать следующие права:

Публикующей организацией и владельцем прав на данную работу является WCS Cambodia. Эта работа находится под лицензией Creative Commons Attribution (CC-BY 4.0).

Регистрация в GBIF

Этот ресурс был зарегистрирован в GBIF, ему был присвоен следующий UUID: bcaaf133-5433-46ab-b2e3-a1a9f4ce84d1. WCS Cambodia отвечает за публикацию этого ресурса, и зарегистрирован в GBIF как издатель данных при оподдержке Participant Node Managers Committee.

Ключевые слова

Occurrence; distance sampling; density surface model; Cambodia; population trends; abundance estimates; Keo Seima Wildlife Sanctuary; yellow-cheeked crested gibbon; black-shanked douc; Samplingevent

Контакты

Cain Agger

Metadata Provider ●
Originator ●
User ●
Point Of Contact

KSWS Biodiversity Monitoring Technical Advisor

WCS Cambodia

Olly Griffin

Originator

WCS Cambodia

Matt Nuttall

Originator

Hannah O'Kelly

Originator

Географический охват

Observations of species within the central area of Keo Seima Wildlife Sanctuary, Cambodia.

Ограничивающие координаты	Юг Запад [12,056, 106,407], Север Восток [12,612, 107,299]

Таксономический охват

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.

Species	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)

Species

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)

Временной охват

Дата начала / Дата окончания	2010-01-01 / 2022-01-01

Данные проекта

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).

Название	Keo Seima Wildlife Sanctuary
Финансирование	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+)
Описание района исследования	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) .
Описание плана выполнения исследований	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).

Исполнители проекта:

Olly Griffin

Principal Investigator

Cain Agger

Matt Nuttall

Hannah O'Kelly

Методы сбора

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).

Охват исследования	The study area is the former core zone, an area of 1,880 km2.
Контроль качества	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.

Охват исследования

The study area is the former core zone, an area of 1,880 km2.

Контроль качества

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.

Описание этапа методики:

Anon during peer-review

Дополнительные метаданные

Цель	Data are collected in order to estimate wildlife populations and distributions, used to inform protected area management.
Альтернативные идентификаторы	bcaaf133-5433-46ab-b2e3-a1a9f4ce84d1
	https://ipt.gbif.fr/resource?r=wcs_ksws_transect