Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

PL EN


2015 | 7 | 1 | 5-12

Article title

Methods for Modeling Ecosystem Services: A Review

Authors

Title variants

Languages of publication

EN

Abstracts

EN
Modeling ecosystem services (ES) is an essential tool for the development of strategies that will ensure their future supply, provision and quantification. Given the rapid development in this area of research, a review of the different approaches used to model ES was performed, using an analytical framework based on five criteria for comparing the existing methodological approaches: the types of ES, availability of data sources, spatial scale, types of models used and the possible outcomes of the models. Regulating services were the most commonly modeled, followed by provisioning, cultural, and supporting services. The most frequently used data for modeling were secondary data (already available from scientific literature or data banks). Most studies were performed at the regional or at a global scale. Mechinicist models, based on state and flow equations, were the most commonly used method, but the survey showed a relatively homogeneous distribution of all the identified types of modeling. The synthesis reveals that the majority of studies are based on secondary data, applied at broad scales, without validation techniques, similar to the existing information regarding the mapping of ESs.

Publisher

Year

Volume

7

Issue

1

Pages

5-12

Physical description

Dates

published
2015-06-01
online
2015-09-08

Contributors

  • „Lucian Blaga” University of Sibiu, Romania

References

  • 1. Arbault, D., Rivière, M., Rugani, B., Benetto, E., Tiruta- Barna, L., Integrated earth system dynamic modeling for life cycle impact assessment of ecosystem services, Science of the Total Environment, Vol. 472, pp. 262-272, (2014).
  • 2. Bagstad, K.J., Semmens, D.J., Winthrop, R., Comparing approaches to spatially explicit ecosystem service modeling: A case study from the San Petro River, Arizona, Ecosystem Services, Vol. 5, pp. e40-e50, (2013).
  • 3. Bai, Y., Zheng, H., Ouyang, Z., Zhuang, C, Jiang, B., Modeling hydrological ecosystem services and trade-offs: a case study in Bayiangdian watershed, China, Environmental Earth Sciences, Vol. 70, No. 2, pp. 709-718, (2013).
  • 4. Balbi, S., del Prado, A., Gallejones, P., Geevan, C.P., Prado, G., Pérez-Miñana, E., Manrique, R., Hernandez- Santiago, C., Villa, F., Modelling trade-offs among ecosystem services in agricultural production systems, Environmental Modelling & Software, in print (2015).
  • 5. Bennet, D.E., Gosnell, H., Integrating multiple perspectives on payments for ecosystem services through a social-ecological systems framework. Ecological Economics, Vol. 116, pp. 172-181, (2015).
  • 6. Boumans, R., Roman, J., Altman, I., Kaufman, L., The Multiscale Integrated Model of Ecosystem Services (MIMES): Simulating the interactions of coupled human and natural systems, Ecosytems Services, Vol. 12, pp. 30-41, (2015).
  • 7. Brady, M., Sahrbacher, C., Kellermann, K., Happe, K., An agent-based approach to modeling impacts of agricultural policy on land use, biodiversity and ecosystem services, Landscape Ecology, Vol. 27, No. 9, pp. 1363-1381, (2012).[Crossref]
  • 8. Brander, L.M., van Beukering, P., Cesar, H.S.J., The recreational value of coral reefs: A meta-analysis, Ecological Economics, Vol. 63, pp. 209-218, (2007).[Crossref]
  • 9. Chen, X., Lupi, F., An, L., Shelly, R., Viña, A., Liu, J., Agent-based modeling of the effects of social norms on enrolment in payments for ecosystem services, Ecological Modelling, Vol. 229, pp. 16-24 (2012).
  • 10. Commelo, S.D., Maltais-Landry, G., Schwegler, B.R., Lepech, M.D., Firm-level ecosystem service valuation using mechanistic biogeochemical modeling and functional substitutability, Ecological Economics, Vol. 100, pp. 63-73, (2014).[Crossref]
  • 11. Connor, J.D., Bryan, B.A., Nolan, M., Stock, F., Gao, L., Dunstall, S., Graham, P., Ernst, A., Newth, D., Grundy, M., Hatfield-Dodds, S., Modelling Australian land use competition and ecosystem services with food price feed backs at high spatial resolution, Environmental Modelling & Software, Vol. 69, pp. 141-154, (2015).
  • 12. Cordier, M., Perez Agundez, J.A., Hecq, W., Hamaide, B., A guiding framework for ecosystem services monetization in ecological-economical modeling, Ecosystem Services, Vol. 8, pp. 86-96, (2014).
  • 13. Delphin, S., Escobedo, F.J., Abd-Elrahman, A., Cropper, W. Jr., Mapping potential carbon and timber losses from hurricane using a decision tree and ecosystem services driver model, Journal of Environmental Management, Vol. 129, pp. 599-607 (2013).
  • 14. Ding, H., Nunes, P.A.L.D., Modeling the links between biodiversity, ecosystem services and human wellbeing in the context of climate change: Results from an econometric analysis of the European forest ecosystems, Ecological Economics, Vol. 97, pp. 60-73, (2014).[Crossref]
  • 15. Feng, M., Liu, S., Euliss, N.H. Jr., Young, C., Mushet, D.M, Prototyping an online wetland ecosystem services model using open model sharing standards, Environmental Modelling & Software, Vol. 26, pp. 458-468, (2011).
  • 16. Fleskens, L., Hubacek, K., Modelling land amangement for ecosystem services, Regional Environmental Change, Vol. 13, pp. 563-566, (2013).[Crossref]
  • 17. Gebremariam, S.Y., Martin, J.F., DeMarchi, C., Bosch, N.S., Confesor, R., Ludsin, S.A., A comprehensive approach to evaluating watershed models for predicting flow regimes critical to downstream ecosystem services, Environmental Modelling & Software, Vol. 61, pp. 121-134, (2014).
  • 18. Grêt-Regamey, A., Bebi, P., Bishop, I.D., Schmid, W.A., Linking GIS-based model to value ecosystem services in an Alpine region, Journal of Environmental Management, Vol. 89, pp. 197-208, (2008).
  • 19. Grêt-Regamey, A., Celio, E, Klein, T.M., Wissen Hayek, U., Understanding ecosystem services trade-offs with interactive procedural modelin for sustainable urban planning, Landscape and Urban Planning, Vol. 109, pp.107-116, (2013).[Crossref]
  • 20. Guerra, C.A., Pinto-Correia, T., Metzger, M.J., Mapping soil erosion prevention using an ecosystem service modeling framework for integrated land management and policy, Ecosystems, Vol. 17, No. 5, pp. 878-889 (2014).
  • 21. Guerry, A.D., Ruckelshaus, M.H., Arkema, K.K., Bernhardt, J.R., Guannel, G., Kim, C.-K., Marsik, M., Papenfus, M., Toft, J.E., Verutes, G., Wood, S.A., Beck, M., Chan, F., Chan, K.M.A., Gelfenbaum, G., Gold, B.D., Halpern, B.S., Labiosa, W.B., Lester, S.E., Levin, P.S., McField, M., Pinsky, M.L., Plummer, M., Polasky, S., Ruggiero, P., Sutherland, D.A., Tallis, H., Day, A., Spencer, J., Modeling benefits from nature: using ecosystem services to inform coastal and marine spatial planning, International Journal of Biodiversity Science, Ecosystem Services & Management, Vol. 8, No. 1-2, pp. 107-121 (2012).
  • 22. Guillem, E.E., Murray-Rust, D., Robinson, D.T., Rounsevell, M.D.A., Modelling farmer decision-making to anticipate tradeoffs between provisioning ecosystem services and biodiversity, Agricultural Systems, Vol. 137, pp. 12-23, (2015).
  • 23. Harrison, R.M., Hester, R.E., Ecosystem services, RSC Publishing, London-Cambridge (2010).
  • 24. Harmáčková, Z.V., Vačkár, D., Modelling regulating ecosystem services trade-offs across landscape scenarios in Třeboňsko Biosphere Reserve, Czech Republic, Ecological Modelling, Vol. 295, pp. 207-215, (2015).
  • 25. Hou, Y., Zhou, S., Burkhard, B., Muller, F., Socioeconomic influences on biodiversity, ecosystem services and human well-being: a quantitative application of the DPSIR model in Jiangsu, China, Science of the Total Environment, Vol. 490, pp. 1012-1028, (2014).
  • 26. Johnson, G.W., Snapp, R.R, Villa, F., Bagstad, K., Modelling ecosystem services under uncertainty with Stochastic SPAN, International Congress on Environmental Modelling and Software, Leipzig, Germany, http://www.iemss.org/society/index.php/iemss-2012-proceedings (2012).
  • 27. Johnston, J.M., McGarvey, D.J., Craig Barber, M., Laniak, G., Babendreier, J., Parmar, R., Wolfe, K., Kraemer, S.R., Cyterski, M., Knightes, C., Rasleigh, B., Suarez, L., Ambrose, R., An integrated modeling framework for performing environmental assessments: Application to ecosystem servicesin the Albemarle-Pamlico basin (NC and VA, USA), Ecological Modelling, Vol. 222, pp. 2471-2484, (2011).
  • 28. Keller, A.A., Fournier, E., Fox, J., Minimising impacts of land use change on ecosystem services using multi-criteria heuristic analysis, Journal of Environmental Management, Vol. 156, pp. 23-30, (2015).
  • 29. Koniak, G., Noy-Meir, I., Perevolotsky, A., Modelling dynamics of ecosystem services basket in Mediteraneean landscapes: a tool for rational management, Landscape Ecology, Vol. 26, pp. 109-124, (2011).[Crossref]
  • 30. Larocque, G.R., Bhatti, J., Arsenault, A., Integrated modeling software platform development for effective use of ecosystem models, Ecological Modelling, Vol. 288, pp. 195-202, (2014).
  • 31. Lauf, S., Haase, D., Kleinschmit, B., Linkages between ecosystem services provisioning, urban growth and shrinkage - A modeling approach 10unctiona ecosystem service trade-offs, Ecological Indicators, Vol. 42, pp. 73-94, (2014).
  • 32. Locatelli, B., Imbach, P., Vignola, R., Metzger, M.J., Hidalgo, E.J.L., Ecosystem services and hydroelectricity in Central America: modelling service flows with fuzzy logic and expert knowledge, Regional Environmental Change, Vol. 11, pp. 393-404, (2011).[Crossref]
  • 33. Martin-Ortega, J., Ojea, E., Roux, C., Payments for Water Ecosystem Services in Latin America: A literature review and conceptual model, Ecosystem Services, Vol. 6, pp. 122-132, (2013).
  • 34. Martínez-Harms, M.J., Patricia Balvanera, P., Methods for mapping ecosystem service supply: a review, International Journal of Biodiversity Science, Ecosystem Services & Management, Vol. 8, No. 1-2, pp. 17-25, (2012).
  • 35. McVittie, A., Norton, L., Martin-Ortega, J., Siamenti, I., Glenk, K., Aalders, I., Operationalizing an ecosystem service-based approach using Bayesian Belief Networks: An application to riparian buffer strips, Ecological Economics, Vol. 110, pp. 15-27, (2015).[Crossref]
  • 36. Meylan, L., Merot, A., Gary, C., Rapidel, B., Combining a typology and a conceptual model of cropping system to explore the diversity of relationships between ecosystem services: The case of erosion control in coffee-based agroforestry systems in Costa Rica, Agricultural Systems, Vol. 118, pp. 52-64, (2013).
  • 37. Moor, H., Hylander, K, Norberg, J., Predicting climate change effects on wetland ecosystem services using species distribution modeling and plant 11unctional traits, AMBIO, Vol. 44, Suppl. 1, pp. S113-S126, (2015).
  • 38. Notter, B., Hurni, H., Wiesmann, U., Abbaspour, K.C., Modelling water provision as an ecosystem service in a large East African river basin, Hydrology and Earth System Sciences, Vol. 16, pp. 69-86, (2012).[Crossref]
  • 39. Nuppenau, E.A., Integrated modelling of payment for ecosystem services: using willingness to pay and accept, for nature provision and addressing public management in cultural landscape, Operational Research, Vol. 14, No. 2, pp. 151-175, (2014).
  • 40. Perrings. C., Duraiappah, A., Larigauderie, A., Mooney, H., The biodiversity and ecosystem services science-policy interface, Science, Vol. 331, pp. 1139-1140, (2011).
  • 41. Petz, K., Alkemade, R., Bakkenes, M., Schlup, C.J.E., van der Velde, M., Leemans, R., Mapping and modelling trade-offs and synergies between grazing intensity and ecosystem services in rangelands using global-scale datasets and models, Global Environmental Change, Vol. 29, pp. 223-234, (2014).
  • 42. Poppenborg, P., Koellner, T., A Bayesian network approach to model farmers’ crop choice using sociopsychological measurements of expected benefits of ecosystem services, Environmental Modelling & Software, Vol. 57, pp. 227-234, (2014).
  • 43. Sabatier, R., Meyer, K., Wiegand, K., Clough, Y., Nonlinear effects of pesticide application on biodiversity driven ecosystem services and disservices in a cacao agroecosystem: A modeling study, Basic and Applied Ecology, Vol. 14, pp. 115-125, (2013).[Crossref]
  • 44. Schlüter, M., Leslie, H., Levin, S., Managing water-use trade-offs in a semi-arid river delta to sustain multiple ecosystem 11ervices: A modelling approach, Ecological Research, Vol. 24, pp. 491-503, (2009).
  • 45. Smajgl, A., Xu, J., Egan, S., Yi, Z.F., Ward, J., Su, Y., Assessing the effectiveness of payments for ecosystem services for diversifying rubber in Yunnan, China, Environmental Modelling & Software, Vol. 69, pp. 187-195, (2015).
  • 46. Sun, Z., Müller, D., A framework for modeling payments for ecosystem services with agent-based models, Bayesian Belief Networks and opinion dynamics models, Environmental Modelling & Software, Vol. 45, pp.15-28, (2013).
  • 47. Swetnam, R.D., Fisher, B., Mbilinyi, B.P., Munishi, P.K.T., Willcock, S., Ricketts, T., Mwakalila, S., Balmford, A., Burgess, N.D., Marshall, A.R., Lewis, S.L., Mapping socio-economic scenarios of land cover change: A GIS method to enable ecosystem service modelling, Journal of Environmental Management, Vol. 92, pp. 563-574, (2011).
  • 48. Vigerstol, K.L., Aukema, J.E., A comparison of tools for modeling freshwater ecosystem services, Journal of Environmental Management, Vol. 92, pp. 2403-2409, (2011).
  • 49. Villa, F., Semantically driven meta-modelling: Automatic model construction in an environmental decision support for the assessment of ecosystem services flow, Athanasiadis et al. eds., Information technologies and environmental engineering, Springer Verlag, Berlin- Heidelberg, (2009).
  • 50. Volk, M., Modelling ecosystem services - Chalanges and promising future directions, Sustainability of Water Quality and Ecology, Vol. 1-2, pp. 3-9 (2013).
  • 51. Watanabe, M.D.B., Ortega, E., Dynamic emergy accounting of water and carbon ecosystem services: A model to stimulate the impacts of land-use change, Ecological Modelling, Vol. 271, pp. 113-131, (2014).
  • 52. Zanchi, G., Belyazid, S., Akselsson, C., Yu, L., Modelling the effects of management intensification on multiple forest services: a Swedish case study, Ecological Modelling, Vol., 284, pp. 48-59, (2014).
  • 53. Name, Sure-name., Name, Sure-name., Title of the book, 5th edition, Editors eds., City, State, (2009).
  • 54. Name, Sure-name., Name, Sure-name., Name, Sure-name., Title of the article, Publication Name,Vol.5, No.3, pp. 34 -41, (2009).
  • 55. Name, Sure-name., Name, Sure-name., Title of the proceedings, Name of the conference, Vol. II, pp. 191-199, City, State, (2009).
  • 56. Fox, T.Q., Dog, T.L., The quick brown fox jumps over the lazy dog, 5th edition, Animals eds., The Forest, (2009).
  • 57. Bear, B., Wolf, A.K., Chasing in the woods, Forest stories,Vol.5, No.3, pp. 34 -41, (2009).
  • 58. Cat, A.-S., Mice, M.O., Cheese, G., Night behaviours, 6th International Conference on the Management of Behavioural Changes, Vol. II, pp. 191-199, City, State, (2009).

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.doi-10_1515_msd-2015-0014
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.