Walden-Schreiner Chelsey, Leung Yu-Fai, Kuhn Tim, Newburger Todd
Department of Parks, Recreation, and Tourism Management, North Carolina State University, CB 8004, Raleigh, NC, 27695, USA.
Division of Resources Management and Science, U.S. National Park Service, Yosemite National Park, El Portal, CA, 95318, USA.
Environ Monit Assess. 2018 Jan 10;190(2):75. doi: 10.1007/s10661-018-6463-3.
Monitoring the behavior of pack animals in protected areas informs management about use patterns and the potential associated negative impacts. However, systematic assessments of behavior are uncommon due to methodological and logistical constraints. This study integrated behavior mapping with GPS tracking, and applied behavior change point analysis, as an approach to monitor the behaviors of pack animals during overnight periods. The integrated approach identified multiple grazing patterns (i.e., locally intense grazing, ambulatory grazing) not feasible through a single methodology alone. Monitoring behavior and corresponding environmental conditions aid managers in implementing strategies designed to mitigate impacts associated with pack animals in natural areas. Results also contrast the influence of temporal scale on behavior segmentation to inform decisions for further monitoring and management of domestic animal use and impacts in natural areas. This integrated approach reduced time and logistical constraints of each method individually to promote ongoing monitoring and highlight how multiple management tactics could reduce impacts to sensitive habitats.
监测保护区内驮畜的行为可为管理部门提供有关使用模式及潜在相关负面影响的信息。然而,由于方法和后勤方面的限制,对行为进行系统评估的情况并不常见。本研究将行为映射与全球定位系统(GPS)跟踪相结合,并应用行为变化点分析,作为一种在夜间监测驮畜行为的方法。这种综合方法识别出了多种放牧模式(即局部高强度放牧、移动放牧),而仅通过单一方法是无法实现的。监测行为及相应的环境条件有助于管理人员实施旨在减轻自然区域内驮畜相关影响的策略。研究结果还对比了时间尺度对行为细分的影响,以便为进一步监测和管理自然区域内家畜的使用及影响提供决策依据。这种综合方法减少了每种方法各自的时间和后勤限制,以促进持续监测,并突出了多种管理策略如何能够减少对敏感栖息地的影响。