Process-based models are required to manage ecological systems in a changing world

Several modeling approaches can be used to guide management decisions. However, some approaches are better fitted than others to address the problem of prediction under global change. Process-based models, which are based on a theoretical understanding of relevant ecological processes, provide a useful framework to incorporate specific responses to altered environmental conditions. As a result, these models can offer significant advantages in predicting the effects of global change as compared to purely statistical or rule-based models based on previously collected data. Process-based models also offer more explicitly stated assumptions and easier interpretation than detailed simulation models. We provide guidelines for identifying the appropriate type of model and level of complexity for management decisions. Finally we outline some of those factors that make modeling for local and regional management under global change a particular challenge: changes to relevant scales and processes, additional sources of uncertainty, legacy effects, threshold dynamics, and socio-economic impacts.

[1]  Lauren B. Buckley,et al.  Linking Traits to Energetics and Population Dynamics to Predict Lizard Ranges in Changing Environments , 2007, The American Naturalist.

[2]  Richard J. Hobbs,et al.  Deliberate Introductions of Species: Research Needs Benefits can be reaped, but risks are high , 1999 .

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

[4]  Yiqi Luo,et al.  Altered ecosystem carbon and nitrogen cycles by plant invasion: a meta-analysis. , 2008, The New phytologist.

[5]  Iain Fraser,et al.  Making ecological science policy-relevant: issues of scale and disciplinary integration , 2007, Landscape Ecology.

[6]  Scott C. Doney,et al.  Response of ocean ecosystems to climate warming , 2004 .

[7]  Robert P. Anderson,et al.  Maximum entropy modeling of species geographic distributions , 2006 .

[8]  F. C. Pillsbury,et al.  Analysis of abrupt transitions in ecological systems , 2011 .

[9]  M. Burgman.  Risks and Decisions for Conservation and Environmental Management: Experts, stakeholders and elicitation , 2005 .

[10]  Richard J Hobbs,et al.  Threshold models in restoration and conservation: a developing framework. , 2009, Trends in ecology & evolution.

[11]  Mike Hulme,et al.  Using expert knowledge to assess uncertainties in future polar bear populations under climate change , 2008 .

[12]  M. Fenster,et al.  Coastal Impacts Due to Sea-Level Rise , 2008 .

[13]  H. Possingham,et al.  Decision Theory and Biodiversity Management: How to manage a metapopulation , 1996 .

[14]  Garry D. Peterson.  Contagious Disturbance, Ecological Memory, and the Emergence of Landscape Pattern , 2002, Ecosystems.

[15]  A. Starfield.  A pragmatic approach to modeling for wildlife management , 1997 .

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

[17]  Donald L. DeAngelis,et al.  Strategies and difficulties of applying models to aquatic populations and food webs , 1988 .

[18]  William W. L. Cheung,et al.  Integrating ecophysiology and plankton dynamics into projected maximum fisheries catch potential under climate change in the Northeast Atlantic , 2011 .

[19]  S. Hubbell,et al.  The unified neutral theory of biodiversity and biogeography at age ten. , 2011, Trends in ecology & evolution.

[20]  A. Hastings,et al.  Controlling established invaders: integrating economics and spread dynamics to determine optimal management. , 2010, Ecology letters.

[21]  D. Rödder,et al.  Explanative power of variables used in species distribution modelling: an issue of general model transferability or niche shift in the invasive Greenhouse frog (Eleutherodactylus planirostris) , 2010, Naturwissenschaften.

[22]  Atte Moilanen,et al.  Incorporating consumer–resource spatial interactions in reserve design , 2009 .

[23]  Robert Costanza,et al.  The Value of Coastal Wetlands for Hurricane Protection , 2008, Ambio.

[24]  C. S. Holling.  CHAPTER 8 – The Strategy of Building Models of Complex Ecological Systems , 1966 .

[25]  F. Schurr,et al.  Estimating demographic models for the range dynamics of plant species , 2010 .

[26]  Xabier Irigoien,et al.  Scaling the metabolic balance of the oceans. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[27]  B. Kendall,et al.  The stochastic nature of larval connectivity among nearshore marine populations , 2008, Proceedings of the National Academy of Sciences.

[28]  S. Pacala,et al.  Predictive Models of Forest Dynamics , 2008, Science.

[29]  A. Pitman,et al.  Why is the choice of future climate scenarios for species distribution modelling important? , 2008, Ecology letters.

[30]  Large‐scale redistribution of maximum fisheries catch potential in the global ocean under climate change , 2010 .

[31]  Paul R. Martin,et al.  Impacts of climate warming on terrestrial ectotherms across latitude , 2008, Proceedings of the National Academy of Sciences.

[32]  George Wright,et al.  The Delphi technique as a forecasting tool: issues and analysis , 1999 .

[33]  J. Elith,et al.  Species Distribution Models: Ecological Explanation and Prediction Across Space and Time , 2009 .

[34]  William J. Sutherland,et al.  Predicting the ecological consequences of environmental change: a review of the methods* , 2006 .

[35]  S. Carpenter,et al.  Decision-making under great uncertainty: environmental management in an era of global change. , 2011, Trends in ecology & evolution.

[36]  Andrew Fall,et al.  The Effects of Spatial Legacies following Shifting Management Practices and Fire on Boreal Forest Age Structure , 2007, Ecosystems.

[37]  John E. Kutzbach,et al.  Projected distributions of novel and disappearing climates by 2100 AD , 2006, Proceedings of the National Academy of Sciences.

[38]  J. Lawton,et al.  Making mistakes when predicting shifts in species range in response to global warming , 1998, Nature.

[39]  Andrew Fall,et al.  Forest processes from stands to landscapes: exploring model forecast uncertainties using cross-scale model comparison , 2010 .

[40]  Annabel Porté,et al.  Modelling mixed forest growth: a review of models for forest management , 2002 .

[41]  Andrew Fall,et al.  Insight, part of a Special Feature on Crossing Scales and Disciplines to Achieve Forest Sustainability A Toolkit Modeling Approach for Sustainable Forest Management Planning: Achieving Balance between Science and Local Needs , 2007 .

[42]  Julian D. Olden,et al.  Incorporating positive interactions in aquatic restoration and conservation , 2007 .

[43]  D. Bellwood,et al.  Phase Shifts, Herbivory, and the Resilience of Coral Reefs to Climate Change , 2007, Current Biology.

[44]  Kirk R. Klausmeyer,et al.  Resource management in a changing and uncertain climate , 2010 .

[45]  D. Haydon,et al.  Alternative stable states in ecology , 2003 .

[46]  Corinne Le Quéré,et al.  Climate Change 2013: The Physical Science Basis , 2013 .

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

[48]  K. McLauchlan,et al.  The Nature and Longevity of Agricultural Impacts on Soil Carbon and Nutrients: A Review , 2006, Ecosystems.

[49]  Brendan A. Wintle,et al.  Quantifying variance components in ecological models based on expert opinion , 2011 .

[50]  J. Sarmiento,et al.  Projecting global marine biodiversity impacts under climate change scenarios , 2009 .

[51]  Larry B. Crowder,et al.  A Stage‐Based Population Model for Loggerhead Sea Turtles and Implications for Conservation , 1987 .

[52]  K. Cuddington.  Legacy Effects: The Persistent Impact of Ecological Interactions , 2011 .

[53]  Seth D. Guikema,et al.  Probabilistic life cycle analysis model for evaluating electric power infrastructure risk mitigation investments , 2011 .

[54]  Denis Valle,et al.  The importance of multimodel projections to assess uncertainty in projections from simulation models. , 2009, Ecological applications : a publication of the Ecological Society of America.

[55]  Benjamin Poulter,et al.  Soil carbon pools in Swiss forests show legacy effects from historic forest litter raking , 2012, Landscape Ecology.

[56]  Brendan A. Wintle,et al.  Ecological-economic optimization of biodiversity conservation under climate change , 2011 .

[57]  R. Macarthur,et al.  The Theory of Island Biogeography , 1969 .

[58]  R. Levins.  The strategy of model building in population biology , 1966 .

[59]  Benjamin Gilbert,et al.  Theoretical Predictions for How Temperature Affects the Dynamics of Interacting Herbivores and Plants , 2011, The American Naturalist.

[60]  Donald McKenzie,et al.  Managing uncertainty in climate‐driven ecological models to inform adaptation to climate change , 2011 .