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Expert Knowledge as a Basis for Landscape Ecological Predictive Models

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Predictive Species and Habitat Modeling in Landscape Ecology

Abstract

Defining an appropriate role for expert knowledge in science can lead to contentious debate. The professional experience of ecologists, elicited as expert judgment, plays an essential role in many aspects of landscape ecological science. Experts may be asked to judge the relevance of competing research or management questions, the quality and suitability of available data, the best balance of complexity and parsimony, and the appropriate application of model output. Even the initial decision to pursue modeling follows expert judgment regarding the cost and benefits of a model relative to data collection and the suitability of alternative modeling approaches for the specific application. Increasingly, however, professionals are asked to provide expertise to complement or even substitute for scarce data in landscape ecological models, by quantifying their personal experiences and anecdotal observations. In such cases, the professional is asked to reference their knowledge against geospatial data or landscape metrics derived from such data. We offer our chapter to raise awareness and promote discussion of this particular development within landscape ecological modeling. We draw examples from cases where expertise is provided as data in support of the predictive species-habitat models used to inform conservation planning objectives and strategies.

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References

  • Al-Awadhi SA, Garthwaite PH (2006) Quantifying expert opinion for modelling fauna habitat distributions. Comp Stat 21:121–140.

    Article  Google Scholar 

  • Anderson JL (1998) Embracing uncertainty: the interface of Bayesian statistics and cognitive psychology. Ecol Soc 2 [online] http://www.consecol.org/vol2/iss1/art2.

  • Aspinall W (2010) A route to more tractable expert advice. Nature 463:294–295.

    Article  CAS  PubMed  Google Scholar 

  • Ayyub BM (2001) Elicitation of expert opinions for uncertainty and risks. CRC Press, Boca Raton, Florida.

    Book  Google Scholar 

  • Baddeley MC, Curtis A, Wood RA (2004) An introduction to prior information derived from probabilistic judgements: elicitation of knowledge, cognitive bias and herding. In: Curtis A, Wood R (eds) Geological prior information: informing science and engineering. Special Publications 239, Geological Society, London.

    Google Scholar 

  • Balmford A, Cowling M (2006) Fusion or failure? The future of conservation. Conserv Biol 20:692–695.

    Article  PubMed  Google Scholar 

  • Bashari H, Smith C, Bosch OJH (2009) Developing decision support tools for rangeland management by combining state and transition models and Bayesian belief networks. Agri Sys 99:23–34.

    Article  Google Scholar 

  • Battisti C, Luiselli L, Pantano D, Teofili C (2008) On threats analysis approach applied to a Mediterranean remnant wetland: is the assessment of human-induced threats related to different level of expertise of respondents? Biodiv Conserv 17:1529–1542.

    Article  Google Scholar 

  • Beier P, Noss RF (1998) Do habitat corridors provide connectivity? Conserv Biol 12:1241–1252.

    Article  Google Scholar 

  • Bissonette JA, Storch I (eds) (2003) Landscape ecology and resource management: linking theory with practice. Island Press, Washington DC.

    Google Scholar 

  • Brown JH, Stevens GC, Kaufman DM (1996) The geographic range: size, shape, boundaries, and internal structure. Ann Rev Ecol Syst 27:597–623.

    Article  Google Scholar 

  • Cleaves DA (1994) Assessing uncertainty in expert judgments about natural resources. General Technical Report so-1 10, USDA Forest Service, Southern Forest Experimental Station, New Orleans, Louisiana.

    Google Scholar 

  • Cooke RM (1991) Experts in uncertainty: opinion and subjective probability in science. Oxford University Press, New York.

    Google Scholar 

  • Coulson RN, Folse LJ, Loh DK (1987) Artificial intelligence and natural resource management. Science 237:262–267.

    Article  CAS  PubMed  Google Scholar 

  • Davis JLD (2000) Changes in tidepool fish assemblages on two scales of environmental variation: seasonal and El Niño Southern Oscillation. Limnol Oceanogr 45:1368–1379.

    Article  Google Scholar 

  • Denham R, Mengersen KL (2007) Geographically assisted elicitation of expert opinion for regression models. Bayes Anal 2:99–136.

    Article  Google Scholar 

  • Doyon F, Sturtevant BR, Papaik M, Fall A, Messier C, Kneeshaw D (2010) A comparison of landscape dynamics derived from expert knowledge-based succession models and process-based landscape models. In: Perera AH, Drew CA, Johnson C (eds) Expert knowledge and landscape ecological applications. Springer, New York.

    Google Scholar 

  • Drescher M, Perera AH (2010) Comparing two steps of forest cover change knowledge used in forest landscape management planning. J Environ Plan Manag. DOI: 10.1080.109640561003727110.

    Google Scholar 

  • Drescher M, Perera AH, Buse LJ, Ride K, Vasiliauskas S (2006) Identifying uncertainty in practitioner knowledge of boreal forest succession in Ontario through a workshop approach. Forest Research Report 165, Ontario Ministry of Natural Resources, Ontario Forest Research Institute, Canada.

    Google Scholar 

  • Drescher M, Perera AH, Buse LJ, Ride K, Vasiliauskas S (2008) Uncertainty in expert knowledge of forest succession: a case study from boreal Ontario. Forest Chron 84:194–209.

    Google Scholar 

  • Drescher M, Buse LJ, Perera AH, Ouellette MR (in press) Eliciting and formalizing expert knowledge of forest succession supported by a software tool. In: Perera AH, Drew CA, Johnson C (eds) Expert knowledge and landscape ecological applications. Springer, New York.

    Google Scholar 

  • Drew CA, Collazo JC (in press) Expert knowledge as a foundation for management of rare or secretive species and their habitat. In: Perera AH, Drew CA, Johnson C (eds) Expert knowledge and landscape ecological applications. Springer, New York.

    Google Scholar 

  • Elith J, Burgman MA, Regan HM (2002) Mapping epistemic uncertainties and vague concepts in predictions of species distribution. Ecol Model 157:313–329.

    Article  Google Scholar 

  • Garthwaite PH, Kadane JB, O’Hagan A (2005) Statistical methods for eliciting probability distributions. J Am Stat Assoc 100:680–701.

    Article  CAS  Google Scholar 

  • Geneletti D (2005) Formalising expert opinion through multi-attribute value functions: an application in landscape ecology. J Environ Manag 76:255–262.

    Article  Google Scholar 

  • Giles Jr, RH (1998) Natural resource management tomorrow: four currents. Wild Soc Bull 26:51–55.

    Google Scholar 

  • Gilchrist G, Mallory M, Merkel F (2005) Can local ecological knowledge contribute to wildlife management? Case studies of migratory birds. Ecol Soc 10 [online] URL: http://www.ecologyandsociety.org/vol10/iss1/art20.

  • Gutzwiller KJ (ed) (2002) Applying landscape ecology in biological conservation. Springer, New York.

    Google Scholar 

  • Hess GR, King TJ (2002) Planning open spaces for wildlife I. Selecting focal species using a Delphi survey approach. Landsc Urban Plan 58:25–40.

    Article  Google Scholar 

  • Holling CS (2001) Understanding the complexity of economic, ecological, and social systems. Ecosystems 4:390–405.

    Article  Google Scholar 

  • Huntington HP (2000) Using traditional ecological knowledge in science: methods and applications. Ecol App 10:1270–1274.

    Article  Google Scholar 

  • James A, Low Choy S, Mengersen KL (2010) Elicitator: an expert elicitation tool for regression in ecology. Environ Model Softw 25:129–145.

    Article  Google Scholar 

  • Johnson CJ, Gillingham MP (2004) Mapping uncertainty: sensitivity of wildlife habitat ratings to expert opinion. J App Ecol 41:1032–1041.

    Article  Google Scholar 

  • Jones J (2001) Habitat selection studies in avian ecology: a critical review. Auk 118:557–562.

    Article  Google Scholar 

  • Kim DH, Slack RD, Chavez-Ramirez F (2008) Impacts of El Niño-Southern Oscillation events on the distribution of wintering raptors. J Wildl Manag 72:231–239.

    Article  Google Scholar 

  • King AW, Perera AH (2006) Transfer and extension of forest landscape ecology: a matter of models and scale. In: Perera AH, Buse LJ, Crow TR (eds) Forest landscape ecology: transferring knowledge to practice. Springer, New York.

    Google Scholar 

  • Kontic B (2000) Why are some experts more credible than others? Environ Impact Assess Rev 20:427–434.

    Article  Google Scholar 

  • Kynn M (2008) The ‘heuristics and biases’ bias in expert elicitation. J R Stat Soc A: Stat Soc 171:239–264.

    Google Scholar 

  • Lefsky MA, Cohen WB, Parker GG, Harding DJ (2002) Lidar remote sensing for ecosystem studies. BioScience 52:19–30.

    Article  Google Scholar 

  • Liu J, Taylor WW (eds) (2002) Integrating landscape ecology into natural resource management. Cambridge University Press, New York.

    Google Scholar 

  • Low Choy SL, O’Leary R, Mengersen, KL (2009) Elicitation by design in ecology: using expert opinion to inform priors for Bayesian statistical models. Ecology 90:265–277.

    Article  Google Scholar 

  • Lyons JE, Runge MC, Lasowski HP, Kendall WL (2008) Monitoring in the context of structured decision making and adaptive management. J Wildl Manag 72:1683–1692.

    Article  Google Scholar 

  • MacKenzie DI, Nichols JD, Hines JE, Knutson MG, Franklin AB (2003) Estimating site occupancy, colonization, and extinction when a species is detected imperfectly. Ecology 84:2200–2207.

    Article  Google Scholar 

  • MacMillan DC, Marshall K (2006) The Delphi process – an expert-based approach to ecological modeling in data-poor environments. Anim Conserv 9:11–19.

    Article  Google Scholar 

  • Marcot BG, Holthausen RS Raphael MG, Rowland MM, Wisdom MJ (2001) Using Bayesian belief networks to evaluate fish and wildlife population viability under land management alternatives from an environmental impact statement. Forest Ecol Manag 153:29–42.

    Article  Google Scholar 

  • Marcot BG, Steventon JD, Sutherland GD, McCann RK (2006) Guidelines for developing and updating Bayesian belief networks applied to ecological modeling and conservation. Can J For Res 36:3063–3074.

    Article  Google Scholar 

  • Martin TG, Kuhnert PM, Mengersen K, Possingham HP (2005) The power of expert opinion in ecological models using Bayesian methods: impact of grazing on birds. Ecol App 15:266–280.

    Article  Google Scholar 

  • McCarthy MA (2007) Bayesian methods in ecology. Cambridge University Press, New York.

    Google Scholar 

  • Meyer, MA, Booker JM (2001) Eliciting and analyzing expert judgment: a practical guide. Society for Industrial and Applied Mathematics, Philadelphia, Pennsylvania.

    Google Scholar 

  • Millspaugh JJ, Thompson III FR (eds) (2009) Models for planning wildlife conservation in large landscapes. Academic Press, Massachusetts.

    Google Scholar 

  • Moody AT, Grand JB (in press) Incorporating expert knowledge in decision support models for bird conservation. In: Perera AH, Drew CA, Johnson C (eds) Expert knowledge and landscape ecological applications. Springer, New York.

    Google Scholar 

  • Morris PA (1977) Combining expert judgements: a Bayesian approach. Manag Sci 23:679–693.

    Article  Google Scholar 

  • Murray JV, Goldizen AW, O’Leary RA, McAlpine CA, Possingham HP, Choy SL (2009) How useful is expert opinion for predicting the distribution of a species within and beyond the region of expertise? A case study using brush-tailed rock-wallabies Petrogale penicillata. J App Ecol 46: 842–851.

    Article  Google Scholar 

  • Nyberg JB, Marcot BG, Sulyma R (2006) Using Bayesian belief networks in adaptive management. Can J For Res 36:3104–3116.

    Article  Google Scholar 

  • O’Hagan A (1998) Eliciting expert beliefs in substantial practical applications. J R Stat Soc Ser D: the Statistician 47:21–35 (with discussion, pp. 55–68).

    Article  Google Scholar 

  • O’Hagan A (2006) Research in elicitation. In: Upadhyay SK, Singh U, Dey DK (eds) Bayesian statistics and its applications. Anamaya, New Delhi.

    Google Scholar 

  • O’Leary RA, Murray JV, Low Choy SJ, Mengersen KL (2008) Expert elicitation for Bayesian classification trees. J App Prob Stat 3:95–106.

    Google Scholar 

  • Pearce JL, Cherry K, Drielsma M, Ferrier S, Whish G (2001) Incorporating expert opinion and fine-scale vegetation mapping into statistical models of faunal distribution. J App Ecol 38:412–424.

    Article  Google Scholar 

  • Perera AH, Buse LJ, Crow TR (eds) (2006) Forest landscape ecology: transferring knowledge to practice. Springer, New York.

    Google Scholar 

  • Perera AH, Drew CA, Johnson C (eds) (in press) Expert knowledge and ecological applications. Springer, New York.

    Google Scholar 

  • Petit S, Chamberlain D, Haysom K, Pywell R, Vickery J, Warman L, Allen D, Firbank L (2003) Knowledge-based models for predicting species occurrence in arable conditions. Ecography 26:626–640.

    Article  Google Scholar 

  • Ralls K, Starfield AM (1995) Choosing a management strategy: two structured decision making methods for evaluating the predictions of stochastic simulation models. Conserv Biol 9:175–181.

    Article  Google Scholar 

  • Ray N, Burgman MA (2006) Subjective uncertainties in habitat suitability maps. Ecol Model 195:172–186.

    Article  Google Scholar 

  • Root T (1988) Environmental factors associated with avian distributional boundaries. J Biogeogr 15:489–505.

    Article  Google Scholar 

  • Rothlisberger JD, Lodge DM, Cooke RM, Finnoff DC (2010) Future declines of the binational Laurentian Great Lakes fisheries: the importance of environmental and cultural change. Front Ecol Environ 8: 239–244.

    Article  Google Scholar 

  • Rykiel Jr, EJ (1989) Artificial intelligence and expert systems in ecology and natural resource management. Ecol Model 46:3–8.

    Article  Google Scholar 

  • Silbernagel JM, Price J, Miller N, Swaty R, White M (in press) An iterative, interactive elicitation process sheds light into black box of forest conservation scenarios. In: Perera AH, Drew CA, Johnson C (eds) Expert knowledge and landscape ecological applications. Springer, New York.

    Google Scholar 

  • Starfield A, Bleloch AL (1991) Building models for conservation and wildlife management. Second edition, The Burgess Press, Edina, Minnesota.

    Google Scholar 

  • Stenseth NC, Mysterud A, Ottersen G, Hurrell JW, Chan KS, Lima M (2002) Ecological effects of climate fluctuations. Science 297:1292–1296.

    Article  CAS  PubMed  Google Scholar 

  • Store R, Kangas J (2001) Integrating spatial multi-criteria evaluation and expert knowledge for GIS-based habitat suitability modeling. Landsc Urban Plan 55:79–93.

    Article  Google Scholar 

  • Teck SJ, Halpern BS, Kappel CV, Micheli F, Selkoe KA, Crain CM, Martone R, Shearer C, Arvai J, Fischhoff B, Murray G, Neslo R, Cooke R (2010) Using expert judgment to estimate marine ecosystem vulnerability in the California Current. Ecol App. DOI: 10.1890/09-1173.

    Google Scholar 

  • Tversky A, Kahneman D (1974) Judgement under uncertainty: heuristics and biases. Science 185:1124–1131.

    Article  CAS  PubMed  Google Scholar 

  • Troll C (1939) Luftbildplan und ökologische Bodenforschung. Zeitschrift der Gesellschaft für Erdkunde, Berlin, pp 241–298.

    Google Scholar 

  • Uusitalo L (2007) Advantages and challenges of Bayesian networks in environmental modeling. Ecol Model 203:312–318.

    Article  Google Scholar 

  • Williams BK (2003) Policy, research, and adaptive management in avian conservation. Auk 120:212–217.

    Article  Google Scholar 

  • Williams BK, Szaro RC, Shapiro CD (2009) Adaptive management: the US Department of the Interior technical guide. Adaptive Management Working Group, US Department of the Interior, Washington, DC.

    Google Scholar 

  • Yamada K, Elith J, McCarthy M, Zerger A (2003) Eliciting and integrating expert knowledge for wildlife habitat modelling. Ecol Model 165:251–264.

    Article  Google Scholar 

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Acknowledgments

We thank J. Collazo and two anonymous reviewers for helpful ­comments provided on an earlier draft of this chapter.

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Authors and Affiliations

  1. North Carolina Fish and Wildlife Cooperative Research Unit, Department of Biology, North Carolina State University, Raleigh, NC, 27695, USA

    C. Ashton Drew

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  1. C. Ashton Drew
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  2. Ajith H. Perera
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Correspondence to C. Ashton Drew .

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Editors and Affiliations

  1. Dept. Zoology, Biodiversity & Spatial Information Ctr., North Carolina State University, Raleigh, 27695, North Carolina, USA

    C. Ashton Drew

  2. Dept. Biology, Memorial University of Newfoundland, St. John's, A1B 3X9, Newfoundland and Labrador, Canada

    Yolanda F. Wiersma

  3. Inst. Arctic Biology, Dept. Biology & Wildlife, University of Alaska, Fairbanks, 99775, Alaska, USA

    Falk Huettmann

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Drew, C.A., Perera, A.H. (2011). Expert Knowledge as a Basis for Landscape Ecological Predictive Models. In: Drew, C., Wiersma, Y., Huettmann, F. (eds) Predictive Species and Habitat Modeling in Landscape Ecology. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-7390-0_12

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