Mammal Species Inventory - Khamab Kalahari Game Reserve: Report 1 October 2018 to December 2018

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).快照探险（SnapshotSafari）是一项跨国研究项目，旨在深化对南部非洲全域哺乳动物种群的认知。项目依托标准化相机陷阱（camera trap, CT）网格开展布设，布点覆盖从保护地到高强度开发区域的多样保护生境梯度，以此刻画哺乳动物种群的丰度、多样性与空间分布格局。本项目产出的数据将为遗传学、生态学、保护生物学等多领域研究提供支撑，同时可为保护规划工作提供目标区域物种组成与种群丰度的全面综合参考，助力相关科研与决策工作。 该项目在南非由纳尔逊·曼德拉大学（Nelson Mandela University）野生动物生态学实验室牵头协调。相机陷阱采集的图像（单个站点单次采集可达数千张）将被送往美国明尼苏达大学（University of Minnesota），通过众包科学平台（participative science platform）Zooniverse与机器学习（machine learning）技术进行处理。作为热门信息技术领域，机器学习可实现图像内容的自动化识别，例如识别景观照片中的羚羊类动物。