Skip to main content
Log in

Translating stakeholder narratives for participatory modeling in landscape ecology

  • Perspective
  • Published:
Landscape Ecology Aims and scope Submit manuscript

Abstract

Context

Engaging stakeholders in research is needed for many of the sustainability challenges that landscape ecologists address. Involving stakeholders’ perspectives through narratives in participatory modeling fosters better understanding of the problem and evaluation of the acceptability of tradeoffs and creates buy-in for management actions. However, stakeholder-driven inputs often take the form of complex qualitative descriptions, rather than model-ready numerical or categorical inputs.

Objectives

Translating narratives into models, model parameters, or scenarios is essential for leveraging stakeholder knowledge and engagement. Drawing from varied experiences to identify lessons learned and pitfalls, we address the practice of translating narratives into models and using those narratives to interpret and communicate results.

Methods

We drew from seven participatory landscape ecology projects across North America to synthesize lessons for the inclusion of stakeholder narratives in modeling studies.

Results

We offer 8 lessons as practical guidance for other landscape ecologists to move the science beyond a unilateral focus on ecological systems and to maximize the benefits of landscape sustainability science.

Conclusions

These lessons are starting points, as real projects are complex, nuanced, and sometimes contradictory. Translating narratives into models is important for addressing complex sustainability challenges; we hope that these starting points are helpful to those foraying into this type of research.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Data availability

Not Applicable.

Code availability

Not Applicable.

References

  • Alcamo J. (Ed.). (2008). Environmental futures: the practice of environmental scenario analysis. Elsevier.

  • ALDEA 2020. https://aldeaguatemala.org/

  • Allington GRH, Fernandez-Gimenez ME, Chen J, Brown DG (2018) Combining participatory scenario planning and systems modeling to identify drivers of future sustainability on the mongolian plateau. Ecol Soci. https://doi.org/10.5751/ES-10034-230209

    Article  Google Scholar 

  • Axelsson R, Angelstam P, Myhrman L, Sädbom S, Ivarsson M, Elbakidze M, Andersson K, Cupa P, Diry C, Doyon F, Drotz MK, Hjorth A, Hermansson JO, Kullberg T, Lickers FH, McTaggart J, Olsson A, Pautov Y, Svensson L, Törnblom J (2013) Evaluation of multi-level social learning processes for sustainable landscapes in Bergslagen, Sweden. Ambio 42:241–253.

    Article  PubMed  PubMed Central  Google Scholar 

  • Bagstad KJ, Reed JM, Semmens DJ, Sherrouse BC, Troy A (2016) Linking biophysical models and public preferences for ecosystem service assessments: a case study for the Southern Rocky Mountains. Reg Environ Change 16(7):2005–2018.

    Article  Google Scholar 

  • Barnaud C, Van Paassen A (2013) Equity, power games, and legitimacy: dilemmas of participatory natural resource management. Ecol Soci. https://doi.org/10.5751/ES-05459-180221

    Article  Google Scholar 

  • Beier CM, Houseal B, Feldpausch-Parker A, Larkin A, Rockefeller D (2016) Great South Woods Complex Planning: Strategy & Recommendations. Appendix II - Methodology. pp. 46–62. https://www.dec.ny.gov/docs/lands_forests_pdf/gswlong.pdf

  • Beierle TC (2002) The quality of stakeholder-based decisions. Risk Anal Int J 22(4):739–749

    Article  Google Scholar 

  • Brugger J, Meadow A, Horangic A (2016) Lessons from first-generation climate science integrators. Bull Am Meteor Soc 97(3):355–365

    Article  Google Scholar 

  • Brugnach M, Pahl-Wostl C (2008) A broadened view on the role for models in natural resource management: implications for model development. Adaptive and integrated water management. Springer, Berlin, pp 187–203

    Chapter  Google Scholar 

  • Buttin V, Doyon F, Bouchard S, Dupras J, Chion C. (2022). Caractériser les modèles mentaux pour accompagner les processus participatifs en aménagement forestier. In Une économie écologique pour le Québec: comment opérationnaliser une nécessaire transition, Eds: A. Zaga Mendez, J.-F. Bissonnette et J. Dupras. Presses de l'Université du Québec, Montréal.

  • Byrd KB, Matchett E, Mengelt C, Wilson TS, DiPietro D, Moritch M, Conlisk E, Veloz S, Casazza ML, Reiter ME (2023) Knowledge co-production on the impact of decisions for waterbird habitat in a changing climate. Conserv Biol. https://doi.org/10.1111/cobi.14089

    Article  PubMed  Google Scholar 

  • Carey MA, Swanson J (2003) Funding for qualitative research. Qual Health Res 13(6):852–856.

    Article  PubMed  Google Scholar 

  • Carpenter S, Pingali P, Bennett E, Zurek M (eds) (2005) Millennium Ecosystem Assessment:, vol 2. Scenarios Assessment. Island Press, Oxford

    Google Scholar 

  • Cumming GS, Cumming DHM, Redman CL (2006) Scale mismatches in social-ecological systems: causes consequences and solutions. Ecol Soc. https://doi.org/10.5751/ES-01569-110114

    Article  Google Scholar 

  • Dale VH, Kline KL, Parish ES, Eichler SE (2019) Engaging stakeholders to assess landscape sustainability. Landscape Ecol 34(6):1199–1218.

    Article  Google Scholar 

  • Dale VH, Kline KL, López Ridaura S, Eichler SE, Ortiz-Monasterio I, Ramirez LF (2020) Towards sustainable landscapes: lessons from agricultural systems in Northwestern Mexico and the Western Highlands of Guatemala. Futures 124:102647

    Article  PubMed  PubMed Central  Google Scholar 

  • David-Chavez DM, Gavin MC (2018) A global assessment of Indigenous community engagement in climate research. Environ Res Lett 13(12):123005

    Article  Google Scholar 

  • Davis A, Wagner JR (2003) Who knows? on the importance of identifying “experts” when researching local ecological knowledge. Hum Ecol 31(3):463–489

    Article  Google Scholar 

  • Djenontin INS, Meadow AM (2018) The art of co-production of knowledge in environmental sciences and management: Lessons from international practice. Environ Manage 61(6):885–903.

    Article  PubMed  Google Scholar 

  • Edmonds B, Le Page C, Bithell M, Chattoe-Brown E, Grimm V, Meyer R, Lontañola-Sales C, Ormerod P, Root H, Squazzoni F (2019) Different Modelling Purposes. J Artif Soci Social Simulation 22(3):6

    Article  Google Scholar 

  • Eichler SE, Kline KL, Ortiz-Monasterio I, Lopez-Ridaura S, Dale VH (2020) Rapid appraisal using landscape sustainability indicators for Yaqui Valley. Mexico Environ Sustain Indic 6:100029

    Google Scholar 

  • Elsawah S, Filatova T, Jakeman AJ, Kettner AJ, Zellner ML, Athanasiadis IN, Hamilton S, Axtell R, Brown D, Gilligan J, Janssen M, Robinson D, Robinson D, Rozenberg J, Ullah I, Lade SJ (2020) Eight grand challenges in socio-environmental systems modeling. Socio-Environ Sys Model 2:16226–16226

    Google Scholar 

  • Étienne M (2013) Companion modelling: a participatory approach to support sustainable development. Versailles France. https://doi.org/10.1007/978-94-017-8557-0

    Article  Google Scholar 

  • FAO (Food and Agriculture Organization) (2018a) The 10 elements of agroecology: Guiding the transition to sustainable food and agricultural systems. Italy, Rome

    Google Scholar 

  • FAO (Food and Agriculture Organization). (2018b). Sustainable farming systems for food and nutrition security: Global forum on food security and nutrition. Rome, Italy: FSN Forum. http://www.fao.org/3/i8603en/I8603EN.pdf.

  • Gaydos DA, Petrasova A, Cobb RC, Meentemeyer RK (2019) Forecasting and control of emerging infectious forest disease through participatory modelling. Philos Trans R Soc B 374(1776):20180283

    Article  Google Scholar 

  • Gray S, Voinov A, Paolisso M, Jordan R, BenDor T, Bommel P, Glynn P, Hedelin B, Hubacek K, Introne J, Kolagani N, Laursen B, Prell C, Schmitt Olabisi L, Singer A, Sterling E, Zellner M (2018) Purpose, processes, partnerships, and products: four Ps to advance participatory socio-environmental modeling. Ecol Appl 28:46–61.

    Article  PubMed  Google Scholar 

  • Grundmann R (2016) Climate change as a wicked social problem. Nat Geosci 9(8):562–563.

    Article  CAS  Google Scholar 

  • Hedelin B, Gray S, Woehlke S, BenDor TK, Singer A, Jordan R, Sterling E (2021) What’s left before participatory modeling can fully support real-world environmental planning processes: a case study review. Environ Model Softw 143:105073

    Article  Google Scholar 

  • Holling CS, Gunderson LH (2002) Panarchy: understanding transformations in human and natural systems. Island press, Washington DC

    Google Scholar 

  • Howick S, Ackermann F (2011) Mixing OR methods in practice: past, present and future directions. Eur J Oper Res 215(3):503–511

    Article  Google Scholar 

  • Inouye AM, Lach DH, Stevenson JR, Bolte JP, Koch J (2017) Participatory modeling to assess climate impacts on water resources in the Big Wood Basin, Idaho. In: Gray S, Paolisso M, Jordan R, Gray S (eds) environmental modeling with stakeholders. Springer, Cham, pp 289–306

    Chapter  Google Scholar 

  • Intergovernmental Panel on Climate Change (IPCC). (2000). Nebojsa Nakicenovic and Rob Swart (Eds.) Cambridge University Press, UK. pp 570 https://www.ipcc.ch/report/emissions-scenarios/

  • Jakeman AJ, Letcher RA, Norton JP (2006) Ten iterative steps in development and evaluation of environmental models. Environ Model Softw 21:602–614.

    Article  Google Scholar 

  • Johnson N, Lilja N, Ashby JA, Garcia JA (2004) The practice of participatory research and gender analysis in natural resource management. Natural Resources Forum. Blackwell Publishing, Oxford, pp 189–200

    Google Scholar 

  • Jordan R, Gray S, Zellner M, Glynn PD, Voinov A, Hedelin B, Prell C (2018) Twelve questions for the participatory modeling community. Earth’s Future 6(8):1046–1057

    Article  Google Scholar 

  • Kline JD, White EM, Fischer AP, Steen-Adams MM, Charnley S, Olsen CS, Bailey JD (2017) Integrating social science into empirical models of coupled human and natural systems. Ecol Soci. https://doi.org/10.5751/ES-09329-220325

    Article  Google Scholar 

  • Kline KL, Ramirez LF, Sum C, López-Ridaura S, Dale VH (2020) Enhance indigenous agricultural systems to reduce migration. Nat Sustain 3:74–76.

    Article  Google Scholar 

  • Kliskey A, Williams P, Griffith DL, Dale VH, Schelly C, Marshall A, Gagnon V, Eaton WM, Floress K (2021) Thinking big and thinking small: a conceptual framework for best practices in community and stake-holder engagement in FEWS. Sustainability 13:2160.

    Article  Google Scholar 

  • Koch J, Dorning MA, Van Berkel DB, Beck SM, Sanchez GM, Shashidharan A, Smart LS, Zhang Q, Smith JW, Meentemeyer RK (2019a) Modeling landowner interactions and development patterns at the urban fringe. Landsc Urban Plan 182:101–113

    Article  Google Scholar 

  • Koch J, Friedman JR, Paladino S, Plassin S, Spencer K (2019) Conceptual modeling for improved understanding of the Rio Grande/Río Bravo socio-environmental system. Socio-Environ Sys Model. https://doi.org/10.18174/sesmo.2019a16127

    Article  Google Scholar 

  • Kok K, Bärlund I, Flörke M, Holman I, Gramberger M, Sendzimir J, Stuch B, Zellmer K (2015) European participatory scenario development: strengthening the link between stories and models. Clim Change 128(3–4):187–200.

    Article  Google Scholar 

  • Kyttä M, Broberg A, Tzoulas T, Snabb K (2013) Towards contextually sensitive urban densification: Location-based softGIS knowledge revealing perceived residential environmental quality. Landsc Urban Plan 113:30–46.

    Article  Google Scholar 

  • Lamarque P, Meyfroidt P, Nettier B, Lavorel S (2014) How ecosystem services knowledge and values influence farmers’ decision-making. PLoS ONE 9(9):e107572

    Article  PubMed  PubMed Central  Google Scholar 

  • Sentinel Landscapes (2021). Eastern North Carolina Sentinel Landscape - Partnership Highlights: https://sentinellandscapes.org/landscapes/eastern-north-carolina/#partnership-highlights.

  • Lemos MC, Morehouse BJ (2005) The co-production of science and policy in integrated climate assessments. Glob Environ Chang 15(1):57–68.

    Article  Google Scholar 

  • Lester JN, O’Reilly M (2015) Is evidence-based practice a threat to the progress of the qualitative community? Arguments from the bottom of the pyramid. Qual Inq 21(7):628–632.

    Article  Google Scholar 

  • Liu J, Dietz T, Carpenter SR, Alberti M, Folke C, Moran E, Pell A, Deadman P, Kratz T, Lubchenco J, Ostrom E, Ouyang Z, Provencher W, Redman C, Schneider S, Taylor WW (2007) Complexity of coupled human and natural systems. Science 317(5844):1513–1516.

    Article  CAS  PubMed  Google Scholar 

  • Mallampalli VR, Mavrommati G, Thompson J, Duveneck M, Meyer S, Ligmann-Zielinska A, Borsuk ME (2016) Methods for translating narrative scenarios into quantitative assessments of land use change. Environ Model Softw 82:7–20

    Article  Google Scholar 

  • Martin VY (2020) Four common problems in environmental social research undertaken by natural scientists. Bioscience 70(1):13–16

    Article  Google Scholar 

  • Mavrommati G, Baustian MM, Dreelin EA (2014) Coupling socioeconomic and lake systems for sustainability: a conceptual analysis using Lake St. Clair region as a case study. Ambio 43(3):275–287

    Article  PubMed  Google Scholar 

  • McBride MF, Lambert KF, Huff ES, Theoharides KA, Field P, Thompson JR (2017) Increasing the effectiveness of participatory scenario development through codesign. Ecol Soci. https://doi.org/10.5751/ES-09386-220316

    Article  Google Scholar 

  • Meentemeyer RK, Tang W, Dorning MA, Vogler JB, Cunniffe NJ, Shoemaker DA (2013) FUTURES: multilevel simulations of emerging urban–rural landscape structure using a stochastic patch-growing algorithm. Ann Assoc Am Geogr 103(4):785–807

    Article  Google Scholar 

  • Metzger JP, Muller E (1996) Characterizing the complexity of landscape boundaries by remote sensing. Landscape Ecol 11:65–77.

    Article  Google Scholar 

  • Ostrom E (1994) Neither market nor state: Governance of common-pool resources in the twenty-first century. International Food Policy Research Institute, Washington, DC

    Google Scholar 

  • Ostrom E (2008) Institutions and the environment. Econ Aff 28(3):24–31.

    Article  Google Scholar 

  • Ostrom E (2009) A general framework for analyzing sustainability of social-ecological systems. Science 325(5939):419–422.

    Article  CAS  PubMed  Google Scholar 

  • Parkins JR, Mitchell RE (2005) Public participation as public debate: a deliberative turn in natural resource management. Soc Nat Resour 18(6):529–540

    Article  Google Scholar 

  • Pennington DD (2010) The dynamics of material artifacts in collaborative research teams. Comput Support Coop Work 19(2):175–199.

    Article  Google Scholar 

  • Peters DPC, Bestelmeyer BT, Turner MG (2007) Cross–scale interactions and changing pattern–process relationships: consequences for system dynamics. Ecosystems 10:790–796

    Article  Google Scholar 

  • Plassin S, Koch J, Paladino S, Friedman JR, Spencer K, Vaché KB (2020) A socio-environmental geodatabase for integrative research in the transboundary Rio Grande/Río Bravo basin. Sci Data. https://doi.org/10.1038/s41597-020-0410-1

    Article  PubMed  PubMed Central  Google Scholar 

  • Plassin S, Koch J, Wilson M, Neal K, Friedman JR, Paladino S, Worden J (2021) Multi-scale fallow land dynamics in a water-scarce basin of the US Southwest. J Land Use Sci 16(3):291–312.

    Article  Google Scholar 

  • Rambaldi G, Kyem PAK, McCall M, Weiner D (2006) Participatory spatial information management and communication in developing countries. Electron J Inform Sys Dev Countries 25(1):1–9.

    Article  Google Scholar 

  • Reed MS (2008) Stakeholder participation for environmental management: a literature review. Biol Conserv 141:2417–2431

    Article  Google Scholar 

  • Rowland ER, Cross MS, Hartmann H (2014) Considering Multiple Futures: Scenario Planning to Address Uncertainty in Natural Resource Conservation. US Fish and Wildlife Service, Washington DC

    Google Scholar 

  • Salliou N, Vialatte A, Monteil C, Barnaud C (2019) First use of participatory Bayesian modeling to study habitat management at multiple scales for biological pest control. Agron Sustain Dev 39(1):7.

    Article  Google Scholar 

  • Sarkki S, Tinch R, Niemelä J, Heink U, Waylen K, Timaeus J, Young J, Watt A, Neßhöver C, van den Hove S (2015) Adding ‘iterativity’ to the credibility, relevance, legitimacy: a novel scheme to highlight dynamic aspects of science–policy interfaces. Environ Sci Policy 54:505–512

    Article  Google Scholar 

  • Scolobig A, Lilliestam J (2016) Comparing approaches for the integration of stakeholder perspectives in environmental decision making. Resources 5(4):37.

    Article  Google Scholar 

  • Smajgl A (2010) Challenging beliefs through multi-level participatory modelling in Indonesia. Environ Model Softw 25(11):1470–1476

    Article  Google Scholar 

  • Smajgl A, Ward J (2015) Evaluating participatory research: framework, methods and implementation results. J Environ Manage 157:311–319

    Article  PubMed  Google Scholar 

  • Smart LS, Vukomanovic J, Sills EO, Sanchez G (2021) Cultural ecosystem services caught in a ‘coastal squeeze’ between sea level rise and urban expansion. Glob Environ Chang 66:102209

    Article  Google Scholar 

  • Tabrizian P, Petrasova A, Baran PK, Vukomanovic J, Mitasova H, Meentemeyer RK (2020) High resolution viewscape modeling evaluated through immersive virtual environments. ISPRS Int J Geo Inf 9(7):445.

    Article  Google Scholar 

  • Tielbörger K, Claus C, Schloz D, Twite R, Al-Karablieh E, Salman A, Jayyousi A, Alpert P (2016) Sustainable water and land management under global change—the GLOWA Jordan River Project. In: Borchardt D, Bogardi JJ, Ibisch RB (eds) Integrated water resources management: concept, research and implementation. Springer, Cham, pp 721–747

    Chapter  Google Scholar 

  • Van Berkel DB, Verburg PH (2012) Combining exploratory scenarios and participatory backcasting: using an agent-based model in participatory policy design for a multi-functional landscape. Landscape Ecol 27(5):641–658

    Article  Google Scholar 

  • Villamor GB, Palomo I, Santiago CAL, Oteros-Rozas E, Hill J (2014) Assessing stakeholders’ perceptions and values towards social-ecological systems using participatory methods. Ecol Process 3(22):1–22.

    Google Scholar 

  • Voinov A, Kolagani N, McCall MK, Glynn PD, Kragt ME, Ostermann FO, Pierce S, Ramu P (2016) Modelling with stakeholders–next generation. Environ Model Softw 77:196–220.

    Article  Google Scholar 

  • Voinov A, Jenni K, Gray S, Kolagani N, Glynn PD, Bommel P, Prell C, Zellner M, Paolisso M, Jordan R, Sterling E, Schmitt Olabisi L, Giabbanelli PJ, Sun Z, Le Page C, Elsawah S, BenDor TK, Hubacek K, Laursen BK, Jetter A, Basco-Carrera L, Singer A, Young L, Brunacini J, Smajgl A (2018) Tools and methods in participatory modeling: Selecting the right tool for the job. Environ Model Softw 109:232–255.

    Article  Google Scholar 

  • Vukomanovic J, Skrip MM, Meentemeyer RK (2019) Making it spatial makes it personal: engaging stakeholders with geospatial participatory modeling. Land 8(2):38

    Article  Google Scholar 

  • Wall TU, Meadow AM, Horganic A (2017) Developing evaluation indicators to improve the process of coproducing usable climate science. Weather, Climate, and Society 9(1):95–107.

    Article  Google Scholar 

  • White CT, Mitasova H, BenDor TK, Foy K, Pala O, Vukomanovic J, Meentemeyer RK (2021) Spatially explicit fuzzy cognitive mapping for participatory modeling of stormwater management. Land 10(11):1114

    Article  Google Scholar 

  • Wilson TS, Matchett E, Byrd KB, Conlisk E, Reiter ME, Wallace C, Flint LE, Flint AL, Joyce B, Moritsch MM (2022) Climate and land change impacts on future managed wetland habitat: a case study from California’s Central Valley. Landscape Ecol 37:861–881

    Article  Google Scholar 

  • Wu J (2013) Landscape sustainability science: ecosystem services and human well-being in changing landscapes. Landscape Ecol 28(6):999–1023

    Article  Google Scholar 

  • Young JC, Waylen KA, Sarkki S, Albon S, Bainbridge I, Balian E, Davidson J, Edwards D, Fairley R, Margerison C, McCracken D (2014) Improving the science-policy dialogue to meet the challenges of biodiversity conservation: having conversations rather than talking at one-another. Biodivers Conserv 23(2):387–404

    Article  Google Scholar 

  • Zellner ML (2008) Embracing complexity and uncertainty: the potential of agent-based modeling for environmental planning and policy. Plan Ther Pract 9(4):437–457

    Article  Google Scholar 

Download references

Funding

The Johns Island Community Conservation Initiative was funded by the Gaylord & Dorothy Donnelley Foundation. The Spaces between the Bases project was funded by the US Fish and Wildlife Service (F20AC00042). The Central Valley Futures project was funded by the NASA Applied Sciences Ecological Forecasting Program (#NNX17AG81G) and the U.S. Geological Survey Land Change Science Program. The Rio Grande/Bravo project was supported by the U.S. Geological Survey (#G15AP00132). The Great South Woods Complex Planning project was funded by the New York State Department of Environmental Conservation. The Sustainable Agriculture in Northwestern Mexico and the Western Highlands of Guatemala project was funded by support provided to Oak Ridge National Laboratory (ORNL) by the Office of U.S. Agency for International Development Bureau for Food Security, under the terms of Contract No. MTO 069018 “The multi-donor trust fund for the CGIAR” as well as through the financial support from the CGIAR Research Programs (CRPs) on Wheat Agri-Food Systems (WHEAT) and Maize Agri-Food Systems (MAIZE), and the Smith Center for International Sustainable Agriculture, University of Tennessee, Knoxville. ORNL is managed by the UT-Battelle, LLC, for DOE under contract DE-AC05-00OR22725. VHD’s contributions were developed as part of the research supported by the National Science Foundation project #1856059. The Companion modelling with serious game project was funded by Quebec Ministry of Economy, Innovation and Exportation, MiTACS Acceleration, the Social Sciences and Humanities Research Council of Canada and the Natural Sciences and Engineering Research Council of Canada. Gaylord & Dorothy Donnelley Foundation,U.S. Fish and Wildlife Service, F20AC00042, F20AC00042, U.S. Geological Survey, G15AP00132, G15AP00132, Office of U.S. Agency for International Development Bureau for Food Security,MTO 069018,MTO 069018,CGIAR Research Programs, Smith Center for International Sustainable Agriculture,University of Tennessee, National Science Foundation, 1856059, U.S. Geological Survey Land Change Science Program, New York State Department of Environmental Conservation, Ministère de l'Économie, de l’Innovation et des Exportations du Québec, MiTACS Acceleration, Social Sciences and Humanities Research Council of Canada, Natural Sciences and Engineering Research Council of Canada

Author information

Authors and Affiliations

Authors

Contributions

JV and LSS organized the symposium where these ideas took shape and conceived the manuscript. All authors contributed to manuscript framing and writing. JV led the preparation of the final manuscript.

Corresponding author

Correspondence to Jelena Vukomanovic.

Ethics declarations

Conflicts of interest

The authors declare no conflicts of interest.

Ethical approval

Not Applicable.

Consent to participate

Not Applicable.

Consent for publication

All authors consent to publication.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Vukomanovic, J., Smart, L.S., Koch, J. et al. Translating stakeholder narratives for participatory modeling in landscape ecology. Landsc Ecol 38, 2453–2474 (2023). https://doi.org/10.1007/s10980-023-01724-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10980-023-01724-9

Keywords

Navigation