Wise selection of an indicator for monitoring the success of management actions

被引:47
作者
Tulloch, Ayesha [1 ]
Possingham, Hugh P. [1 ]
Wilson, Kerrie [1 ]
机构
[1] Univ Queensland, Ctr Ecol, Sch Biol Sci, St Lucia, Qld 4072, Australia
关键词
Monitoring; Evaluation; Conservation; Indicator species; Cost-effectiveness; Vulpes vulpes; NEW-SOUTH-WALES; FOX CONTROL; COST-EFFECTIVENESS; EXPERT OPINION; CONSERVATION; BIODIVERSITY; SURROGATES; AUSTRALIA; FRAMEWORK; MAMMALS;
D O I
10.1016/j.biocon.2010.08.009
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Objective approaches are needed to select species for monitoring management effectiveness and to justify conservation investments. We develop and apply two approaches for selecting the most cost-effective and informative indicator species with a case study of monitoring investments in invasive predator control in south-western Australia. We compared species selected by a qualitative approach involving experts scoring 17 criteria for 12 potential indicators to a quantitative metric based on empirical data for a subset of criteria. Both approaches accounted for the monitoring cost, potential for leverage, data uncertainty and the risk of choosing an un-representative or un-informative indicator, albeit in different ways. The indicator species selected by the quantitative metric was the western brushtail possum Trichosurus vulpecula - a relatively common medium-sized mammal in the study region. When costs were not considered explicitly in the qualitative approach, the indicator selected was the woylie Bettongia penicillata. When costs were sensibly incorporated in the qualitative approach, indicator rankings changed and the top-ranked species was again T. vulpecula. Although when costs were included the qualitative expert-driven approach delivered the same result as the quantitative metric, it was not robust to minor data adjustments, and incorporating expert uncertainty made it difficult to distinguish the value of potential indicator species from each other. The quantitative metric was comparatively robust to minor data adjustments, and enabled evaluation of data uncertainty in a transparent way, presenting a more objective approach that enables explicit selection of the most informative indicator for monitoring management actions. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:141 / 154
页数:14
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