Mammal Species Inventory - Khamab Kalahari Game Reserve: Report 1 October 2018 to December 2018
收藏doi.org2021-05-05 更新2025-03-24 收录
下载链接:
http://doi.org/10.17632/g54xym4x3c.2
下载链接
链接失效反馈官方服务:
资源简介:
SnapshotSafari is a transnational program aiming at providing a greater knowledge about mammal populations accross southern Africa. Thanks to standardized camera traps (CTs) grid, deployed in various locations reflecting a diversity of conservation states (from protected areas to highly transformed areas), SnapshotSafari aims at describing mammal population abundances, diversities and spatial occurrences. The data provided will benefit Research, in fields as broad as Genetics, Ecology or conservation Biology, as well by providing to conservation planning a comprehensive synthesis of which species can be found in their location, with which abundance...etc.
The project is coordinated in South Africa by Nelson by Mandela University’s Wildlife Ecology Lab. The images collected by the CTs (as much as thousands per site) are sent to the United States (University of Minnesota) to be processed via a participative science plateform (Zooniverse) and machine learning (a popular IT field that allows automatized recognition of elements in an image, for instance antelopes in a landscape photo).
SnapshotSafari是一项跨国项目,旨在增进对南非地区哺乳动物种群知识的了解。得益于标准化相机陷阱(CTs)网格的部署,这些网格位于反映多样化的保护状态(从保护区到高度改造区域)的多个地点,SnapshotSafari致力于描述哺乳动物种群丰度、多样性和空间分布。所提供的数据将为研究领域的广泛研究提供益处,包括遗传学、生态学或保护生物学等领域,同时为保护规划提供一种综合分析,以确定在特定地点可以找到哪些物种及其丰度等。该项目由南非纳尔逊·曼德拉大学的野生动物生态实验室协调。由CTs收集的图像(每个地点多达数千张)被发送至美国(明尼苏达大学),以便通过参与式科学平台(Zooniverse)和机器学习(一个流行的信息技术领域,允许自动识别图像中的元素,例如风景照片中的羚羊)进行处理。
提供机构:
doi.org



