设置摄像头保护环境

F. Rovero, R. Kays
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引用次数: 5

摘要

相机陷阱使用运动传感器捕捉经过动物的图像,代表在特定地点和时间存在的特定物种的可验证和非侵入性记录。这些简单的记录提供了关于生物多样性的基本数据,这些数据对保护生物多样性具有不可估量的价值。由于相机技术的改进(更好、更小、更便宜)和分析方法的同步发展,相机捕捉科学在过去的15年里稳步发展,提高了我们对地球上难以捉摸和稀有动物的认识。本文综述了相机诱捕在保护科学中的应用和潜力。我们首先介绍了研究隐居野生动物的重要性和挑战,并讨论了相机陷阱的技术方面,使它们如此有效和广泛地用于这一目的。然后,我们回顾了相机陷阱对保护的各种方式,首先介绍了相机陷阱可以记录的野生动物指标,然后调查了这些指标如何通过栖息地偏好、分布模型、威胁评估、监测和保护干预措施的评估来应用于保护。我们还介绍了案例研究,展示了相机陷阱如何有效地将生态监测与保护联系起来,包括如何使用数据和图像来吸引公众和政策制定者参与保护问题,以及如何通过公民科学和标准化数据收集网络以及自动化分析的网络基础设施来扩大这项工作。最后,我们回顾了相机陷阱可能的技术改进,以及它们如何有助于未来的保护。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Camera trapping for conservation
Camera traps use a motion sensor to capture images of passing animals, representing verifiable and non-invasive records of the presence of a given species at a specified place and time. These simple records provide fundamental data on biodiversity that have proven invaluable to conservation. Thanks to the improved (better, smaller, and less expensive) camera technology and the concurrent development of analytical approaches, camera trapping science has grown steadily in the last 15 years and advanced our knowledge of elusive and rare fauna across the planet. Here we review the use and potential of camera trapping in conservation science. We start with an introduction to the importance and challenges of studying reclusive wildlife and discuss the technical aspects of camera traps that make them so efficient and widely used for this purpose. We then review the variety of ways camera trapping has contributed to conservation, first presenting the wildlife metrics camera traps can document and then surveying how these have been applied to conservation through studies of habitat preference, distribution models, threat assessments, monitoring, and evaluations of conservation interventions. We also present case studies showing how camera trapping can effectively contribute to link ecological monitoring to conservation, including how data and images can be used to engage the public and policymakers with conservation issues, and how this work is now being scaled up through citizen science and networks of standardized data collection coupled with cyber-infrastructures for automatized analyses. We conclude by reviewing possible technological improvements of camera traps and how they would aid conservation in the future.
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