Conservation in the dark? The information used to support management decisions

被引:244
|
作者
Cook, Carly N. [1 ]
Hockings, Marc [1 ]
Carter, R. W. [2 ]
机构
[1] Univ Queensland, Sch Integrat Syst, St Lucia, Qld, Australia
[2] Univ Sunshine Coast, Sustainabil Res Ctr, Maroochydore, Australia
基金
澳大利亚研究理事会;
关键词
SYSTEM; UNCERTAINTY; AUSTRALIA; BIOLOGY; EXPERT; HEALTH;
D O I
10.1890/090020
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
The management requirements for protected areas are frequently complex and urgent; as a result, managers often need to act quickly and make decisions with limited supporting evidence at their disposal. Despite demands for high-quality information, it is unclear how much of this evidence conservation practitioners use to assist with their decision making. We investigated the information used to manage protected areas, based on the evidence reported by practitioners when evaluating their management performance. We examined the management of over 1000 protected areas run by two Australian conservation agencies - Parks Victoria and the New South Wales Department of Environment and Climate Change - an unprecedented scope for this type of study. We found that very few conservation practitioners use evidence-based knowledge to support their management. The evidence used varies with the management issue, reserve type, and reserve size. Around 60% of conservation management decisions rely on experience-based information, and many practitioners report having insufficient evidence to assess their management decisions. While experience plays an important role in conservation management, the apparent lack of evidence-based information to support decision making in the reserves has the potential to compromise outcomes and jeopardize the investment made in protected areas for conservation.
引用
收藏
页码:181 / 186
页数:6
相关论文
共 50 条
  • [41] Dark Data Management as frontier of Information Governance
    Ajis, Ahmad Fuzi Md
    Baharin, Siti Hajar
    2019 IEEE 9TH SYMPOSIUM ON COMPUTER APPLICATIONS & INDUSTRIAL ELECTRONICS (ISCAIE), 2019, : 34 - 37
  • [42] Forecasting the Turnover Growth in the Risk Management System as Management Decisions Support
    Bril, Aleksandr R.
    Kalinina, Olga V.
    Ilin, Igor V.
    Dubgorn, Alissa S.
    Iliashenko, Oksana Yu.
    PROCEEDINGS OF 2017 XX IEEE INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND MEASUREMENTS (SCM), 2017, : 692 - 693
  • [43] The Development of Ontologies to Support the Decisions in Production Systems Management
    Yusupova, Nafisa
    Smetanina, Olga
    Agadullina, Aygul
    Rassadnikova, Ekaterina
    2017 SECOND RUSSIA AND PACIFIC CONFERENCE ON COMPUTER TECHNOLOGY AND APPLICATIONS (RPC 2017), 2017, : 188 - 193
  • [44] A generic accounting model to support operations management decisions
    Verdaasdonk, P
    Wouters, M
    PRODUCTION PLANNING & CONTROL, 2001, 12 (06) : 605 - 620
  • [45] Evaluation of a decision support system for credit management decisions
    Kanungo, S
    Sharma, S
    Jain, PK
    DECISION SUPPORT SYSTEMS, 2001, 30 (04) : 419 - 436
  • [46] Control in many-object organizational systems: II. The principles of implementation of information support of management decisions
    Yu. I. Buryak
    V. V. Insarov
    Journal of Computer and Systems Sciences International, 2006, 45 : 245 - 262
  • [47] Upscaling of Environmental Information: Support of Land-Use Management Decisions by Spatio-Temporal Regionalization Approaches
    Dietmar Zirlewagen
    Klaus von Wilpert
    Environmental Management, 2010, 46 : 878 - 893
  • [48] Control in many-object organizational systems: II. The principles of implementation of information support of management decisions
    Buryak, Yu. I.
    Insarov, V. V.
    JOURNAL OF COMPUTER AND SYSTEMS SCIENCES INTERNATIONAL, 2006, 45 (02) : 245 - 262
  • [49] Upscaling of Environmental Information: Support of Land-Use Management Decisions by Spatio-Temporal Regionalization Approaches
    Zirlewagen, Dietmar
    von Wilpert, Klaus
    ENVIRONMENTAL MANAGEMENT, 2010, 46 (06) : 878 - 893
  • [50] Integrating chemical information & visualizations to support scientific decisions.
    Surles, MC
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2002, 223 : U354 - U354