Integrating Expert Perceptions into Food Web Conservation and Management

Decision‐makers often rely on expert knowledge, especially in complex and data‐poor social‐ecological systems (SESs). However, expert knowledge and perceptions of SES structure and function vary; therefore, understanding how these perceptions differ is critical to building knowledge and developing sustainability solutions. Here, we quantify how scientific, local, and traditional knowledge experts vary in their perceptions of food webs centered on Pacific herring—a valuable ecological, economic, and cultural resource in Haida Gwaii, BC, Canada. Expert perceptions of the herring food web varied markedly in structure, and a simulated herring recovery with each of these unique mental models demonstrated wide variability in the perceived importance of herring to the surrounding food web. Using this general approach to determine the logical consequences of expert perceptions of SES structure in the context of potential future management actions, decision‐makers can work explicitly toward filling knowledge gaps while embracing a diversity of perspectives.

[1]  Daniel R. Pinello Linking Party to Judicial Ideology in American Courts: A Meta-analysis , 2016 .

[2]  Kate Starbird,et al.  What-If Scenario Modeling to Support Oil Spill Preparedness and Response Decision-Making , 2015 .

[3]  B. Martín‐López,et al.  Factors influencing local ecological knowledge maintenance in Mediterranean watersheds: Insights for environmental policies , 2015, AMBIO.

[4]  M. Mangel,et al.  Applying scientific principles in international law on whaling , 2014, Science.

[5]  M. G. Morgan Use (and abuse) of expert elicitation in support of decision making for public policy , 2014, Proceedings of the National Academy of Sciences.

[6]  Stewart J. Cohen,et al.  Climate Change 2014: Impacts,Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change , 2014 .

[7]  Steven A. Gray,et al.  Fuzzy Cognitive Maps as Representations of Mental Models and Group Beliefs , 2014, Fuzzy Cognitive Maps for Applied Sciences and Engineering.

[8]  Thomas Dietz,et al.  Bringing values and deliberation to science communication , 2013, Proceedings of the National Academy of Sciences.

[9]  Mark A. Burgman,et al.  Toward rigorous use of expert knowledge in ecological research , 2013 .

[10]  Robert M. May,et al.  Networks and webs in ecosystems and financial systems , 2013, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[11]  W. Sutherland,et al.  Understanding and managing conservation conflicts. , 2013, Trends in ecology & evolution.

[12]  Laurence Smith,et al.  The role of expert opinion in environmental modelling , 2012, Environ. Model. Softw..

[13]  T. Lynam,et al.  Mental Models in Human–Environment Interactions: Theory, Policy Implications, and Methodological Explorations , 2012 .

[14]  Dan Clark,et al.  Modeling the integration of stakeholder knowledge in social–ecological decision-making: Benefits and limitations to knowledge diversity , 2012 .

[15]  K. Mengersen,et al.  Eliciting Expert Knowledge in Conservation Science , 2012, Conservation biology : the journal of the Society for Conservation Biology.

[16]  P. Levin,et al.  Using folk taxonomies to understand stakeholder perceptions for species conservation , 2011 .

[17]  Mark A. Burgman,et al.  Expert Status and Performance , 2011, PloS one.

[18]  Duan Biggs,et al.  The implementation crisis in conservation planning: could “mental models” help? , 2011 .

[19]  Mark A. Burgman,et al.  Redefining expertise and improving ecological judgment , 2011 .

[20]  Anne Leitch,et al.  Mental models: an interdisciplinary synthesis of theory and methods , 2011 .

[21]  J. Boldt,et al.  A review of factors limiting recovery of Pacific herring stocks in Canada , 2010 .

[22]  William N. Venables,et al.  Modern Applied Statistics with S , 2010 .

[23]  M. Turner Disturbance and landscape dynamics in a changing world. , 2010, Ecology.

[24]  Gene E. Likens,et al.  Defining and using 'best available science': a policy conundrum for the management of aquatic ecosystems. , 2010 .

[25]  Ioan Fazey,et al.  Integrating local and scientific knowledge for environmental management. , 2010, Journal of environmental management.

[26]  C. Rigg,et al.  Haida Marine Planning: First Nations as a Partner in Marine Conservation , 2010 .

[27]  Jameal F. Samhouri,et al.  Identifying Thresholds for Ecosystem-Based Management , 2010, PloS one.

[28]  Oceans Canada,et al.  An Assessment of the Potential for Recovery of Humpback Whales off the Pacific Coast of Canada Évaluation du potentiel de rétablissement des rorquals à bosse au large de la côte canadienne du Pacifique , 2009 .

[29]  Thaddeus R. Miller,et al.  Epistemological Pluralism: Reorganizing Interdisciplinary Research , 2008 .

[30]  T. Pitcher,et al.  Reconstructing historical marine ecosystems using food web models: Northern British Columbia from Pre-European contact to present , 2008 .

[31]  M. Sykes,et al.  Predicting global change impacts on plant species' distributions: Future challenges , 2008 .

[32]  Fridolin Zimmermann,et al.  Testing expert groups for a habitat suitability model for the lynx Lynx lynx in the Swiss Alps , 2007 .

[33]  T. Wilbanks,et al.  Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change , 2007 .

[34]  Uygar Özesmi,et al.  Ecological models based on people’s knowledge: a multi-step fuzzy cognitive mapping approach , 2004 .

[35]  Jody Hey,et al.  Understanding and confronting species uncertainty in biology and conservation , 2003 .

[36]  Walter Krämer,et al.  Review of Modern applied statistics with S, 4th ed. by W.N. Venables and B.D. Ripley. Springer-Verlag 2002 , 2003 .

[37]  N. Mantua,et al.  The Pacific Decadal Oscillation , 2002 .

[38]  Brian D. Ripley,et al.  Modern applied statistics with S, 4th Edition , 2002, Statistics and computing.

[39]  Astrid Jarre,et al.  Small pelagics in upwelling systems: patterns of interaction and structural changes in "wasp-waist" ecosystems , 2000 .

[40]  Michael Gibbons,et al.  Science's new social contract with society , 1999, Nature.

[41]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[42]  R. Waples Pacific Salmon, Oncorhynchus spp., and the Definition of "Species" Under the Endangered Species Act , 1991 .

[43]  Bart Kosko,et al.  Fuzzy Cognitive Maps , 1986, Int. J. Man Mach. Stud..

[44]  P. Biernacki,et al.  Snowball Sampling: Problems and Techniques of Chain Referral Sampling , 1981 .

[45]  D. Levin The Nature of Plant Species , 1979, Nature.