Inventory of wild mammals from District Nagar, Gilgit-Baltistan, Pakistan

資料紀錄

此資源sampling event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 25 筆紀錄。

亦存在 1 筆延伸集的資料表。延伸集中的紀錄補充核心集中紀錄的額外資訊。 每個延伸集資料表中資料筆數顯示如下。

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版本

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如何引用

研究者應依照以下指示引用此資源。:

Din S U, Hong S (2025). Inventory of wild mammals from District Nagar, Gilgit-Baltistan, Pakistan. Version 1.3. GBIF Secretariat. Samplingevent dataset. https://cloud.gbif.org/asia/resource?r=wildlife_nagar&v=1.3

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 GBIF Secretariat。 To the extent possible under law, the publisher has waived all rights to these data and has dedicated them to the Public Domain (CC0 1.0). Users may copy, modify, distribute and use the work, including for commercial purposes, without restriction.

GBIF 註冊

此資源已向GBIF註冊，並指定以下之GBIF UUID: 99aaf87c-d4a5-4239-a42a-63df6eb7dbe9。  GBIF Secretariat 發佈此資源，並經由GBIF Secretariat同意向GBIF註冊成為資料發佈者。

關鍵字

Samplingevent; Observation Mammals Conservation Camera trapping Gilgit-Baltistan

聯絡資訊

地理涵蓋範圍

Hoper Valley, situated 3,000 meters above sea level, and Hisper, located 3,500 meters above sea level, were covered.

分類群涵蓋範圍

In this study, we covered the following taxonomic groups. Class: Mammalia; Orders: Carnivora, Lagomorpha, Rodentia, and Artiodactyla; Families: Felidae, Canidae, Mustelidae, Bovidae, Leopridae, Ochotonidae, and Muridae.

時間涵蓋範圍

計畫資料

Background The study area is located within the Central Karakoram National Park, nestled in the towering Karakoram mountain range. Situated at a high altitude in the District of Nagar, Gilgit-Baltistan, Pakistan, this region is characterized by its rugged terrain, glaciers, and snow-covered peaks. The diverse landscape provides an ideal habitat for medium- to large-sized mammals. Despite its ecological significance, the wildlife of this area remains under-studied. Therefore, the current study aimed to document the wild mammal species of the high-altitude Hoper and Hisper valleys. New information Camera trapping surveys were conducted from April to November 2024 to record wild mammals in the study area. Approximately 30 trail cameras were deployed across the study area, which resulted in 85 occurrence records for seven mammal species, including three carnivores, two lagomorphs, one rodent, and one ruminant. All species were native and non-endemic to the region. According to the IUCN Conservation status, Panthera uncia (Snow Leopard), Mustela altaica (Mountain weasel), and Capra sibirica (Himalayan ibex) belong to endangered categories. Out of the seven mammals reported in this study, the Snow Leopard and Himalayan Ibex have been previously reported from the area. The data collected from this survey provides valuable occurrence information on the mammal species present in the study area, which can serve as a baseline for monitoring and conservation efforts in the future.

參與計畫的人員:

取樣方法

About 30 Trail cameras (T-9 Pro Black) were installed across the study area to record medium to large-sized mammals. The cameras were placed in areas of known wildlife activity, such as animal trails, water sources, and feeding zones, ensuring a representative sample across different habitats and elevations. The survey was conducted in two sessions: the first session took place in April 2024, with data retrieval in June 2024. After data retrieval in June, the cameras were maintained by replacing the batteries and SD cards, then left in place until November 2024. The camera locations were adjusted and moved within a 500-meter radius of the original site, either due to theft or in cases where no wildlife was captured, to ensure proper coverage and increase the likelihood of capturing relevant wildlife data. The sampling effort was calculated by multiplying the number of camera traps by the number of days they remained operational.

方法步驟描述:

1. At each site, the camera was installed on a tree trunk, rock, or wooden stick (Fig 3), depending on the available structures (Srbek-Araujo and Chiarello 2013; Lamelas-Lopez et al. 2020). The direction and angle of the camera were adjusted according to the terrain and expected wildlife movement patterns, ensuring an optimal field of view to capture wildlife activity while minimizing the chances of false triggers. After installation, all the barriers in front of the camera, like vegetation, any plant, or a branch, affect the result of the camera by triggering random photos (Oberosler et al. 2017). The settings of the trail cameras were then adjusted as follows: the cameras remained active for 24 hours, with three photos in a series set to capture each trigger. A short interval of 30 seconds was customized between photo captures (Lamelas-Lopez et al. 2020) and the sensitivity was set to medium to ensure reliable detection of wildlife. The serial number was customized according to the site name for easy identification, and finally, the date and time were correctly set to ensure accurate timestamping of all images (Oberosler et al. 2017). After retrieving data from the camera traps, the images were manually classified and renamed. The images were then imported into XnView software, where the date and time were extracted. The data was then organized as a sample event dataset, encompassing both event and occurrence data, and published as a Darwin Core Archive (DwC-A) (Zuleger et al. 2023).

額外的詮釋資料