Ecological models supporting environmental decision making: a strategy for the future.

Ecological models are important for environmental decision support because they allow the consequences of alternative policies and management scenarios to be explored. However, current modeling practice is unsatisfactory. A literature review shows that the elements of good modeling practice have long been identified but are widely ignored. The reasons for this might include lack of involvement of decision makers, lack of incentives for modelers to follow good practice, and the use of inconsistent terminologies. As a strategy for the future, we propose a standard format for documenting models and their analyses: transparent and comprehensive ecological modeling (TRACE) documentation. This standard format will disclose all parts of the modeling process to scrutiny and make modeling itself more efficient and coherent.

[1]  Donald L. DeAngelis,et al.  UNCERTAINTY IN SPATIALLY EXPLICIT ANIMAL DISPERSAL MODELS , 2003 .

[2]  Amy W. Ando,et al.  On the Use of Demographic Models of Population Viability in Endangered Species Management , 1998 .

[3]  Roman Ashauer,et al.  Mechanistic effect models for ecological risk assessment of chemicals (MEMoRisk)—a new SETAC-Europe Advisory Group , 2009, Environmental science and pollution research international.

[4]  V. Grimm,et al.  Ecological Models in Support of Regulatory Risk Assessments of Pesticides: Developing a Strategy for the Future , 2009, Integrated environmental assessment and management.

[5]  Anthony W. King,et al.  Spatial uncertainty analysis of population models , 2005 .

[6]  Gary P. Kofinas,et al.  Ten Heuristics for Interdisciplinary Modeling Projects , 2002, Ecosystems.

[7]  Elinor Ostrom,et al.  Coupled Human and Natural Systems , 2007, Ambio.

[8]  Antoine Guisan,et al.  Predictive habitat distribution models in ecology , 2000 .

[9]  Stephen P. Prisley,et al.  A synthesis of literature on evaluation of models for policy applications, with implications for forest carbon accounting , 2004 .

[10]  Edward J. Rykiel,et al.  Testing ecological models: the meaning of validation , 1996 .

[11]  A. Sugden.  Trends in ecology and evolution. , 1986, Trends in ecology & evolution.

[12]  Roman Ashauer,et al.  CREAM: a European project on mechanistic effect models for ecological risk assessment of chemicals , 2009, Environmental science and pollution research international.

[13]  Dennis L. Murray,et al.  Flawed population viability analysis can result in misleading population assessment: A case study for wolves in Algonquin park, Canada , 2008 .

[14]  Robert E. Keane,et al.  Comparison of the Sensitivity of Landscape-fire-succession Models to Variation in Terrain, Fuel Pattern, Climate and Weather , 2005, Landscape Ecology.

[15]  H. Resit Akçakaya,et al.  Predictive accuracy of population viability analysis in conservation biology , 2000, Nature.

[16]  Mike Rivington,et al.  Validation of biophysical models: issues and methodologies. A review , 2011, Agronomy for Sustainable Development.

[17]  Volker Grimm,et al.  Using pattern-oriented modeling for revealing hidden information: a key for reconciling ecological theory and application , 2003 .

[18]  Paul Denny-Gouldson.  Meeting the specialized requirements of the biologist through a biology-focused electronic laboratory notebook , 2007 .

[19]  M. B. Beck,et al.  Modelling Change in Environmental Systems , 1995 .

[20]  Louis J Gross,et al.  Testing the robustness of management decisions to uncertainty: Everglades restoration scenarios. , 2008, Ecological applications : a publication of the Ecological Society of America.

[21]  W. Beveridge.  The Art Of Scientific Investigation , 1957 .

[22]  Antoine Guisan,et al.  Spatial modelling of biodiversity at the community level , 2006 .

[23]  Steven F. Railsback,et al.  Individual-based modeling and ecology , 2005 .

[24]  Elinor Ostrom,et al.  Complexity of Coupled Human and Natural Systems , 2007, Science.

[25]  Elsie M. Sunderland,et al.  Draft Guidance on the Development, Evaluation, and Application of Regulatory Environmental Models , 2003 .

[26]  LELAND J. JACKSON,et al.  An Introduction to the Practice of Ecological Modeling , 2000 .

[27]  Scott Ferson,et al.  Automated quality assurance checks on model structure in ecological risk assessments , 1996 .

[28]  Liza Gross.  Why Not the Best? How Science Failed the Florida Panther , 2005, PLoS biology.

[29]  M. Ittersum,et al.  Assessing farm innovations and responses to policies: A review of bio-economic farm models , 2007 .

[30]  Elinor Ostrom,et al.  Insights on linking forests, trees, and people from the air, on the ground, and in the laboratory , 2006, Proceedings of the National Academy of Sciences.

[31]  George L. W. Perry,et al.  Spatial modelling of vegetation change in dynamic landscapes: a review of methods and applications , 2006 .

[32]  Katriona Shea,et al.  Dispersal, demography and spatial population models for conservation and control management , 2008 .

[33]  Birgit Müller,et al.  A standard protocol for describing individual-based and agent-based models , 2006 .

[34]  Anthony J. Jakeman,et al.  Integrated assessment and modelling: features, principles and examples for catchment management , 2003, Environ. Model. Softw..

[35]  E. J. Comiskey,et al.  EVALUATING IMPACTS TO FLORIDA PANTHER HABITAT: HOW POROUS IS THE UMBRELLA? , 2004 .

[36]  James H. Cowan,et al.  Data, Models, and Decisions in U.S. Marine Fisheries Management: Lessons for Ecologists , 2003 .

[37]  Donald L. DeAngelis,et al.  An Overview of Methods for Developing Bioenergetic and Life History Models for Rare and Endangered Species , 2008 .

[38]  Anthony Jakeman.  Environmental modelling, software and decision support : state of the art and new perspectives , 2008 .

[39]  E. J. Comiskey,et al.  Landscape Modeling for Everglades Ecosystem Restoration , 1998, Ecosystems.

[40]  Ray Hilborn,et al.  Compensatory density dependence in fish populations: importance, controversy, understanding and prognosis , 2001 .

[41]  Joe Landsberg,et al.  Modelling forest ecosystems: state of the art, challenges, and future directions , 2003 .

[42]  Tim Oxley,et al.  Integrated modelling and decision-support tools: a Mediterranean example , 2004, Environ. Model. Softw..

[43]  E. Fulton,et al.  Effect of complexity on marine ecosystem models , 2003 .

[44]  Todd S. Bridges,et al.  Separating the wheat from the chaff: The effective use of mathematical models as decision tools: Effective Use of Mathematical Models , 2007 .

[45]  M. Rivington,et al.  Validation of Biophysical Models: Issues and Methodologies , 2011 .

[46]  Anthony J. Jakeman,et al.  Good Modelling Practice , 2008 .

[47]  J. Bart.  Acceptance Criteria for Using Individual‐Based Models to Make Management Decisions , 1995 .

[48]  Caleb A. Oriade,et al.  Developments in biophysical and bioeconomic simulation of agricultural systems: a review , 1997 .

[49]  William Stafford Noble.  A Quick Guide to Organizing Computational Biology Projects , 2009, PLoS Comput. Biol..

[50]  S. Ferson,et al.  Realism and Relevance of Ecological Models Used in Chemical Risk Assessment , 2003 .

[51]  Paul Radomski,et al.  Decision Making and Modeling in Freshwater Sport-fisheries Management , 1996 .

[52]  Scott Ferson,et al.  Ecological modeling in risk assessment : chemical effects on populations, ecosystems, and landscapes , 2001 .

[53]  Jon Grant,et al.  Mathematical modelling to assess the carrying capacity for multi-species culture within coastal waters , 2003 .

[54]  Niels Holst,et al.  Field weed population dynamics : a review of model approaches and applications , 2007 .

[55]  George D. Gopen,et al.  The Science of Scientific Writing , 1990 .

[56]  Wolfgang Cramer,et al.  Scaling Issues in Forest Succession Modelling , 2000 .

[57]  David J. Mladenoff,et al.  An ecological classification of forest landscape simulation models: tools and strategies for understanding broad-scale forested ecosystems , 2007, Landscape Ecology.

[58]  Todd S Bridges,et al.  Separating the Wheat from the Chaff: The Effective Use of Mathematical Models as Decision Tools , 2007, Integrated environmental assessment and management.

[59]  Richard J. Williams,et al.  A model selection protocol to support the use of models for water management , 2007 .

[60]  Howard M. Kanare,et al.  Writing the Laboratory Notebook , 1985 .

[61]  Uno Wennergren,et al.  The Promise and Limitations of Spatial Models in Conservation Biology , 1995 .

[62]  Kevin Stokes,et al.  Coping with uncertainty in ecological advice: lessons from fisheries , 2003 .

[63]  N Oreskes,et al.  Verification, Validation, and Confirmation of Numerical Models in the Earth Sciences , 1994, Science.

[64]  Hans Pretzsch,et al.  Analysing and Modelling Forest Stand Dynamics for Practical Application -An European Review and Perspective- , 2007 .

[65]  Barry W. Brook,et al.  Pessimistic and Optimistic Bias in Population Viability Analysis , 2000 .

[66]  Mark A. Lewis,et al.  Balancing ecological complexity in predictive models: a reassessment of risk models in the mountain pine beetle system , 2007 .

[67]  E. Schlesinger,et al.  The science of scientific writing , 1979, Proceedings of the IEEE.

[68]  Anthony J. Jakeman,et al.  Progress in integrated assessment and modelling , 2002, Environ. Model. Softw..

[69]  Anthony J. Jakeman,et al.  Ten iterative steps in development and evaluation of environmental models , 2006, Environ. Model. Softw..

[70]  Peter Chapman,et al.  Ecological models and pesticide risk assessment: Current modeling practice , 2010, Environmental toxicology and chemistry.