An adaptive management case study for managing macropods on Maria Island National Park, Tasmania, Australia: adding devils to the detail

Author:

Ingram Janeane

Abstract

Adaptive management is driven by structured decision making and evidence from monitoring in a ‘learning’ framework that guides management actions. In a conservation context, this iterative approach includes evaluation of the impacts on natural processes. On Maria Island National Park, Tasmania, Australia, introduced Forester kangaroo, Bennetts wallaby and Tasmanian pademelon have been intensively managed by an annual cull since 1994. Management actions were triggered by high parasite loads, intense grazing pressure and high juvenile mortality during drought periods. Criticism of the annual cull from animal welfare groups initiated the development of an adaptive management approach for decision making that replaces the historic ‘trial and error’ process. Following a comprehensive review of the existing macropod management program in 2011, an integrated monitoring strategy was established to provide evidence for informed decision making. Assessments of animal health and estimates of population trends are the key indicators for management actions to occur. Maintaining viable macropod populations and protecting natural values form the basis of management objectives. Management actions in each year, for each species, represent ‘treatments’ as spatial replication is not possible at such a small scale. An adaptive management approach for macropod management on Maria Island has resulted in only one species being culled in 2014 and 2015 for the first time in almost 20 years. However the recent introduction of a major predator, the Tasmanian devil, has increased uncertainty for long-term macropod management on Maria Island with no cull occurring in 2016 and 2017.

Publisher

CSIRO Publishing

Subject

Nature and Landscape Conservation,Ecology

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3