Managers consider multiple lines of evidence important for biodiversity management decisions

被引:86
作者
Cook, Carly N. [1 ,2 ]
Carter, R. W. [3 ]
Fuller, Richard A. [1 ,4 ,5 ]
Hockings, Marc [2 ]
机构
[1] Univ Queensland, Environm Decis Grp, Sch Biol Sci, St Lucia, Qld 4072, Australia
[2] Univ Queensland, Sch Geog Planning & Environm Management, St Lucia, Qld 4072, Australia
[3] Univ Sunshine Coast, Sustainabil Res Ctr, Maroochydore, Qld 4558, Australia
[4] CSIRO Climate Adaptat Flagship, Dutton Pk, Qld 4102, Australia
[5] CSIRO Ecosyst Sci, Dutton Pk, Qld 4102, Australia
基金
澳大利亚研究理事会;
关键词
Conservation management; Conservation practitioners; Decision-making; Evidence; Prioritization; Science-based management; SUPPORT CONSERVATION; EXPERT OPINION; EVIDENCE-BASE; KNOWLEDGE; ECOSYSTEMS; GAP;
D O I
10.1016/j.jenvman.2012.09.002
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Protected area managers often fail to use empirical evidence for their management decisions, yet it is unclear whether this arises from a lack of available data, difficulty in interpreting scientific information for management application, or because managers do not value science for their decisions. To better understand the use of evidence for management decisions, we asked protected area managers in Australia what information is important when making decisions, the types of evidence they find most valuable, and the types of evidence they have for their protected areas. Managers described a complex array of information needed for management decisions, with nine different factors representing decisions about individual management issues and how to prioritize management actions. While managers reported less access to empirical evidence than other sources, this is not because they do not value it, reporting it to be the most valuable source of evidence. Instead, they make up the shortfall in empirical evidence with experience and information synthesized from multiple lines of evidence, which can provide important context for their decisions. We conclude that managers value a diversity of evidence because they face complex conservation decisions. Therefore, while empirical evidence can play an important role, alone this cannot provide all the knowledge managers need. (c) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:341 / 346
页数:6
相关论文
共 49 条
  • [31] Crisis in a crisis discipline
    Meffe, GK
    [J]. CONSERVATION BIOLOGY, 2001, 15 (02) : 303 - 304
  • [32] Patton MQ., 1997, UTILIZATION FOCUSED
  • [33] Doing more good than harm - Building an evidence-base for conservation and environmental management
    Pullin, Andrew S.
    Knight, Teri M.
    [J]. BIOLOGICAL CONSERVATION, 2009, 142 (05) : 931 - 934
  • [34] Assessing conservation management's evidence base: a survey of management-plan compilers in the United Kingdom and Australia
    Pullin, AS
    Knight, TM
    [J]. CONSERVATION BIOLOGY, 2005, 19 (06) : 1989 - 1996
  • [35] Effectiveness in conservation practice: Pointers from medicine and public health
    Pullin, AS
    Knight, TM
    [J]. CONSERVATION BIOLOGY, 2001, 15 (01) : 50 - 54
  • [36] Do conservation managers use scientific evidence to support their decision-making?
    Pullin, AS
    Knight, TM
    Stone, DA
    Charman, K
    [J]. BIOLOGICAL CONSERVATION, 2004, 119 (02) : 245 - 252
  • [37] Are review articles a reliable source of evidence to support conservation and environmental management? A comparison with medicine
    Roberts, Philip D.
    Stewart, Gavin B.
    Pullin, Andrew S.
    [J]. BIOLOGICAL CONSERVATION, 2006, 132 (04) : 409 - 423
  • [38] Which uncertainty? Using expert elicitation and expected value of information to design an adaptive program
    Runge, Michael C.
    Converse, Sarah J.
    Lyons, James E.
    [J]. BIOLOGICAL CONSERVATION, 2011, 144 (04) : 1214 - 1223
  • [39] How can we improve information delivery to support conservation and restoration decisions?
    Seavy, Nathaniel E.
    Howell, Christine A.
    [J]. BIODIVERSITY AND CONSERVATION, 2010, 19 (05) : 1261 - 1267
  • [40] How low should you go? Low response rates and the validity of inference in IS questionnaire research
    Sivo, Stephen A.
    Saunders, Carol
    Chang, Qing
    Jiang, James J.
    [J]. JOURNAL OF THE ASSOCIATION FOR INFORMATION SYSTEMS, 2006, 7 (06): : 351 - 414