Nonlinearities in biodiversity incentive schemes: A study using an integrated agent-based and metacommunity model

Environmental Modelling and Software

Volumn 45, Issue , 2013, Pages 74-91

  Polhill, J Gary ^a   Gimona, Alessandro ^a   Gotts, Nicholas M ^a  

^a SCOTTISH CROP RESEARCH INSTITUTE   (United Kingdom)

Author keywords

Agents; Biodiversity; Land use; Nonlinearity; Policy

Indexed keywords

AGRI-ENVIRONMENTAL INCENTIVES; ENVIRONMENTAL BENEFITS; GOVERNMENT INCENTIVE; INCENTIVE SCHEMES; INCREASING FUNCTIONS; METACOMMUNITY MODELS; PRICE VARIABILITY; RURAL DEVELOPMENT;

AGENTS; CONTROL NONLINEARITIES; EXPERIMENTS; LAND USE; MANAGEMENT; MANAGERS; PROFITABILITY; PUBLIC POLICY; REGIONAL PLANNING;

BIODIVERSITY;

AGRI-ENVIRONMENTAL POLICY; DECISION MAKING; INCENTIVE; INTEGRATED APPROACH; LAND MANAGEMENT; LAND USE CHANGE; NONLINEARITY; RURAL DEVELOPMENT;

SCOTLAND; UNITED KINGDOM;

EID: 84878236710     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2012.11.011     Document Type: Article

References (90)

1. Aamodt A., Plaza E. Case-based reasoning: foundational issues, methodological variations, and system approaches. AI Commun. 1994, 7(1):39-59.
2. Akaike H. Information theory and an extension of the maximum likelihood principle. Second International Symposium on Information Theory 1973, 267-281. Akademiai Kiado, Budapest. B.N. Petrov, F. Caski (Eds.).
3. Akaike H. A new look at the statistical model identification. IEEE Trans. Automatic Control 1974, 19(6):716-723.
4. An L., Linderman M., Qi J., Shortridge A., Liu J. Exploring complexity in a human-environment system: an agent-based spatial model for multidisciplinary and multiscale integration. Ann. Assoc. Am. Geogr. 2005, 95:54-79.
5. Anselme B., Bousquet F., Lyet A., Etienne M., Fady B., Le Page C. Modelling of spatial dynamics and biodiversity conservation on Lure mountain (France). Environ. Model. Softw. 2010, 25:1385-1398.
6. Axelrod R. The Complexity of Cooperation: Agent-based Models of Competition and Collaboration 1997, Princeton University Press.
7. Axelrod R., Riolo R.L., Cohen M.D. Beyond geography: cooperation with persistent links in the absence of clustered neighborhoods. Pers. Soc. Psychol. Rev. 2002, 6:341-346.
8. Banks P.B., Norrdahl K., Korpimäki E. Nonlinearity in the predation risk of prey mobility. Proc. R. Soc. Lond. B 2000, 267:1621-1625.
9. Benton T.G., Vickery J.A., Wilson J.D. Farmland biodiversity: is habitat heterogeneity the key?. Trends Ecol. Evol. 2003, 18:182-188.
10. Berg A., Gustafson T. Meadow management and occurrence of corncrake Crex crex. Agric. Ecosyst. Env. 2007, 120:139-144.
11. Boero R., Castellani M., Squazzoni F. Cognitive identity and social reflexivity of the industrial district firms. Going beyond the 'complexity effect' with an agent-based computational prototype. Regulated Agent-based Social Systems 2004, 48-69. Springer Verlag. G. Lindermann, D. Modt, M. Paolucci (Eds.).
12. Boero R., Squazzoni F. Does empirical embeddedness matter? Methodological issues on agent-based models for analytical social science. J. Artif. Soc. Soc. Simul. 2005, 8(4):6. http://jasss.soc.surrey.ac.uk/8/4/6.html.
13. Boulanger P.-M., Bréchet T. Models for policy-making in sustainable development: the state of the art and perspectives for research. Ecol. Econ. 2005, 55:337-350.
14. 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 Ecol. 2012, 27:1363-1381.
15. Breiman L., Friedman J., Olshen R.A., Stone C.J. Classification and Regression Trees 1984, Chapman & Hall/CRC, Boca Raton, Florida.
16. Brondizio E.S., Ostrom E., Young O.R. Connectivity and the governance of multilevel social-ecological systems: the role of social capital. Annu. Rev. Environ. Resour. 2009, 34:253-278.
17. Burton R.J.F. Seeing through the 'good farmer's' eyes: towards developing an understanding of the symbolic value of 'productivist' behaviour. Sociol. Rural. 2004, 44:195-215.
18. Carvalheiro L.G., Veldtman R., Shenkute A.G., Tesfay G.B., Pirk C.W.W., Donaldson J.S., Nicolson S.W. Natural and within-farmland biodiversity enhances crop productivity. Ecol. Lett. 2011, 14:251-259.
19. Coggan A., Whitten S.M., Bennett J. Influences of transaction costs in environmental policy. Ecol. Econ. 2010, 69:1777-1784.
20. Connell J.H. Diversity in tropical rain forests and coral reefs. Science 1978, 199:1302-1309.
21. Davies, B., Blackstock, K., Brown, K., Shannon, P., 2004. Challenges in Creating Local Agri-environmental Cooperation Action Amongst Farmers and Other Stakeholders. The Macaulay Land Use Research Institute, Report for Scottish Executive Environmental and Rural Affairs Department. Aberdeen.
22. Dean S.J., Gumerman G.J., Epstein J.M., Axtell R., Swedlund A.C., Parker M.T., McCarroll S. Understanding Anasazi culter change through agent-based modeling. Dynamics in Human and Primate Societies: Agent-based Modeling of Social and Spatial Processes 2000, 179-205. Oxford University Press. T.A. Kohler, G.J. Gumerman (Eds.).
23. Driver A. FWAG to make announcement on its future. Farmers Guard. 2 November 2011.
24. Edmonds, B., October 2012a. Complexity and context-dependency. Found. Sci., http://dx.doi.org/10.1007/s10699-012-9303-x.
25. Edmonds B. Context in social simulation: why it can't be wished away. Comput. Math. Organ. Theory 2012, 18(1):5-21.
26. Edmonds B., Akman V. Editorial: context in context. Found. Sci. 2002, 7(3):233-238.
27. Evans T., Sun W., Kelley H. Spatially explicit experiments for the exploration of land-use decision-making dynamics. Int. J. Geog. Inf. Sci. 2006, 20(9):1013-1037.
28. Gilpin M.E., Hanski I.A. Metapopulation Dynamics: Empirical and Theoretical Investigations 1991, Academic Press.
29. Gimona A., Polhill J.G. Exploring robustness of biodiversity policy with a coupled metacommunity and agent-based model. J. Land Use Sci. 2011, 6(2-3):175-193.
30. Gimona A., Polhill G., Davies B. Sinks, sustainability, and conservation incentives. Sources, Sinks and Sustainability 2011, Cambridge University Press, Cambridge U.K., (Chapter 8). J. Liu, V. Hull, A. Morzillo, J. Wiens (Eds.).
31. Gimona A., Van der Horst D. Mapping hotspots of multiple landscape functions: a case study on farmland afforestation in Scotland. Landsc. Ecol. 2007, 22:1255-1264.
32. Goldman R.L., Thompson B.H., Daily G.C. Institutional incentives for managing the landscape: inducing cooperation for the production of ecosystem services. Ecol. Econ. 2007, 64:333-343.
33. Gotts N.M., Polhill J.G. When and how to imitate your neighbours: lessons from and for FEARLUS. J. Artif. Soc. Soc. Simul. 2009, 12(3):2. http://jasss.soc.surrey.ac.uk/12/3/2.html.
34. Gotts N.M., Polhill J.G., Law A.N.R. Aspiration levels in a land use simulation. Cybern. Syst. 2003, 34:663-683.
35. Grimm V., Berger U., Bastiansen F., Eliassen S., Ginot V., Giske J., Goss-Custard J., Grand T., Heinz S.K., Huse G., Huth A., Jepsen J.U., Jørgensen C., Mooij W.M., Müller B., Pe'er G., Piou C., Railsback S.F., Robbins A.M., Robbins M.M., Rossmanith E., Rüger N., Strand E., Souissi S., Stillman R.A., Vabø R., Visser U., DeAngelis D.L. A standard protocol for describing individual-based and agent-based models. Ecol. Model. 2006, 198:115-126.
36. Grimm V., Berger U., DeAngelis D.L., Polhill J.G., Giske J., Railsback S.F. The ODD protocol: a review and first update. Ecol. Model. 2010, 221:2760-2768.
37. Guzy M.R., Smith C.L., Bolte J.P., Hulse D.W., Gregory S.V. Policy research using agent-based modeling to assess future impacts of urban expansion into farmlands and forests. Ecol. Soc. 2008, 13(1):37. http://www.ecologyandsociety.org/vol13/iss1/art37/.
38. Hacker R.B., Jessop P.J., Smith W.J., Melville G.J. A ground cover-based incentive approach to enhancing resilience in rangelands viewed as complex adaptive systems. Rangel. J. 2010, 32:283-291.
39. Hald A.B. The impact of changing the season in which cereals are sown on the diversity of the weed flora in rotational fields in Denmark. J. Appl. Ecol. 1999, 36:24-32.
40. Hare M., Deadman P. Further towards a taxonomy of agent-based simulation models in environmental management. Math. Comput. Simul. 2004, 64:25-40.
41. Hastie T.J., Tibshirani R.J. Generalized Additive Models 1990, Chapman & Hall/CRC, Boca Raton, Florida.
42. Holyoak M., Leibold M.A., Hold R.D. Metacommunities: Spatial Dynamics and Ecological Communities 2005, University of Chicago Press.
43. Horowitz J.K., Lynch L., Stocking A. Competition-based environmental policy: an analysis of farmland preservation in Maryland. Land Econ. 2009, 85:555-576.
44. Humbert J.Y., Ghazoul J., Walter T. Meadow harvesting techniques and their impacts on field fauna. Agric. Ecosyst. Env. 2009, 130:1-8.
45. Johnson, P.E., 1998. Rational Actors Versus Adaptive Agents: Social Science Implications. 1998 Annual Meeting of the American Political Science Association, Boston.
46. Kwaiser K.S., Hendrix S.D. Diversity and abundance of bees (Hymenoptera: apiformes) in native and ruderal grasslands of agriculturally dominated landscapes. Agric. Ecosyst. Environ. 2008, 124:200-204.
47. Lagabrielle E., Botta A., Daré W., David D., Aubert S., Fabricius C. Modelling with stakeholders to integrate biodiversity into land-use planning - lessons learned in Réunion Island (Western Indian Ocean). Environ. Model. Softw. 2010, 25:1413-1427.
48. Latacz-Lohmann, U., Schilizzi, S. 2005. Auctions for Conservation Contracts: a Review of the Theoretical and Empirical Literature. A Report to the Scottish Executive Environmental and Rural Affairs Department, 15 October 2005. http://www.scotland.gov.uk/Resource/Doc/93853/0022574.pdf.
49. Lansing J.S., Kremer J.N. Emergent properties of Balinese water temple networks: coadaptation on a rugged fitness landscape. Artificial Life III 1994, 201-203. Addison-Wesley. C.G. Langton (Ed.).
50. Lempert R. Agent-based modeling as organizational and public policy simulators. Proc. Natl. Acad. Sci. U. S. A. 2002, 99:7195-7196.
51. Levins R. Evolution in Changing Environments 1968, Princeton University Press.
52. Manson S.M. Agent-based modeling and genetic programming for modeling land change in the Southern Yucatán Peninsular Region of Mexico. Agric. Ecosyst. Env. 2005, 111:47-62.
53. Matthews R.B., Polhill J.G., Gilbert N., Roach A. Integrating agent-based social models and biophysical models. MODSIM 2005: International Congress on Modelling and Simulation December 2005, 1617-1623. Modelling and Simulation Society of Australia and New Zealand. http://www.mssanz.org.au/modsim05/papers/matthews_rb1.pdf, A. Zerger, R.M. Argent (Eds.).
54. Meehan T.D., Hurlbert A.H., Gratton C. Bird communities in future bioenergy landscapes of the Upper Midwest. Proc. Natl. Acad. Sci. U. S. A. 2010, 107:18533-18538.
55. Moilanen A. Patch occupancy models of metapopulation dynamics: efficient parameter estimation using implicit statistical inference. Ecology 1999, 80:1031-1043.
56. Moilanen A. SPOMSIM: software for stochastic patch occupancy models of metapopulation dynamics. Ecol. Model. 2004, 179:533-550.
57. Naeem S., Thompson L.J., Lawler S.P., Lawton J.H., Woodfin R.M. Empirical evidence that declining species diversity may alter the performance of terrestrial ecosystems. Philos. Trans. R. Soc. Lond. Ser. B 1995, 347:249-262.
58. Nise N.S. Control Systems Engineering 2004, John Wiley, New York.
59. Ostrom E. A diagnostic approach for going beyond panaceas. Proc. Natl. Acad. Sci. U. S. A. 2007, 104(39):15181-15187.
60. Ostrom E., Janssen M.A., Anderies J.M. Going beyond panaceas. Proc. Natl. Acad. Sci. U. S. A. 2007, 104(39):15176-15178.
61. Pagiola S., Agostini P., Gobbi J., de Haan C., Ibrahim M., Murgueitio E., Ramírez E., Rosales M., Ruíz J.P. Paying for Biodiversity Conservation Services in Agricultural Landscapes 2004, Environment Department Paper No. 96, World Bank, Washington.
62. Parker D.C., Hessl A., Davis S.C. Complexity, land-use modeling, and the human dimension: fundamental challenges for mapping unknown outcome spaces. Geoforum 2008, 39:789-804.
63. Parkhurst G.M., Shogren J. Spatial incentives to coordinate contiguous habitat. Ecol. Econ. 2007, 64:344-355.
64. Pelosi C., Goulard M., Balent G. The spatial scale mismatch between ecological processes and agricultural management: do difficulties come from underlying theoretical frameworks?. Agric. Ecosyst. Env. 2010, 139:455-462.
65. Perc M. Coherence resonance in a spatial prisoner's dilemma game. N. J. Phys. 2006, 8:22.
66. Polasky S., Doremus H., Rettig B. Endangered species conservation on private land. Contemp. Econ. Policy 1997, 15:66-76.
67. Polhill J.G., Gotts N.M., Law A.N.R. Imitative versus nonimitative strategies in a land-use simulation. Cybern. Syst. 2001, 32:285-307.
68. Polhill, J.G., Jarvis, A., Gimona, A., Gotts, N.M. 2010a. Towards adaptive control of landscape biodiversity. International Congress on Environmental Modelling and Software (iEMSs 2010), Ottawa, Canada, 5-8 July 2010.
69. Polhill J.G., Parker D., Brown D., Grimm V. Using the ODD protocol for describing three agent-based social simulation models of land use change. J. Artif. Soc. Soc. Simul. 2008, 11(2):3. http://jasss.soc.surrey.ac.uk/11/2/3.html.
70. Polhill J.G., Sutherland L.-A., Gotts N.M. Using qualitative evidence to enhance an agent-based modelling systems for studying land use change. J. Artif. Soc. Soc. Simul. 2010, 13(2):10. http://jasss.soc.surrey.ac.uk/13/2/10.html.
71. Rosin, C., Campbell, H., 2009. Organification: n. The tendency to assume social and environmental orientations associated with organic production. Paper presented at the 23rd European Society for Rural Sociology Congress, Vaasa, Finland, 17-21 August 2009. Abstracts Available at: http://orgprints.org/17124/1/ESRS09%20WG26.pdf.
72. Samhouri J.F., Levin P.S., Ainsworth C.H. Identifying thresholds for ecosystem-based management. PLoS One 2010, 5(1):e8907.
73. Selman P. Planning at the Landscape Scale. The RTPI Library Series 2006, Routledge, London and New York.
74. Simon H.A. A behavioral model of rational choice. Q. J. Econ. 1955, 69:99-118.
75. Squazzoni F., Boero R. Economic performance, inter-firm relations and 'local institutional engineering' in an agent-based computational prototype of industrial districts. J. Artif. Soc. Soc. Simul. 2002, 5(1):1. http://jasss.soc.surrey.ac.uk/5/1/1.html.
76. Stoate C., Baldi A., Beja, Boatman N.-D., Herzon I., van Doorn A., de Snoo G.R., Rakosy L., Ramwell C. Ecological impact of early 21st century agricultural change in Europe: a review. J. Env. Manag. 2009, 91:22-46.
77. Sutherland L.-A. Environmental grants and regulations in strategic farm business decision-making: a case study of attitudinal behaviour in Scotland. Land Use Policy 2010, 27(2):415-423.
78. Sutherland L.-A. " Effectively organic" : environmental gains on conventional farms through the market?. Land Use Policy 2011, 28(4):815-824.
79. Sutherland L.-A., Gabriel D., Hathaway-Jenkins L., Pascual U., Schmutz U., Rigby D., Godwin R., Sait S.M., Sakrabani R., Kunin W.E., Benton T.G., Stagl S. The 'neighbourhood effect': a multidisciplinary assessment of the case for farmer co-ordination in agri-environmental programmes. Land Use Policy 2012, 29(3):502-512.
80. Sznajd-Weron K., Sznajd J. Opinion evolution in a closed community. Int. J. Mod. Phys. 2000, C 11(6):1157-1165.
81. Tilman D., Cassman K.G., Matson P.A., Naylor R., Polasky S. Agricultural sustainability and intensive production practices. Nature 2002, 418:671-677.
82. Tilman D., Downing J.A. Biodiversity and stability in grasslands. Nature 1994, 367:363-365.
83. Vickery J., Bradbury R., Henderson I., Eaton M., Grice F. The role of agri-environment schemes and farm management practices in reversing the decline of farmland birds in England. Biol. Conserv. 2004, 119:19-39.
84. Vickery J., Carter N., Fuller R.J. The potential value of managed cereal field margins as foraging habitats for farmland birds in the UK. Agric. Ecosyst. Env. 2002, 89:41-52.
85. Voinov A., Bousquet F. Modelling with stakeholders. Environ. Model. Softw. 2010, 25:1268-1281.
86. Wallis de Vries M.F., Bakker J.P., van der Wieren S.E. Grazing and Conservation Management 1998, Academic Publishers, Dordrecht, The Netherlands.
87. Weisskopf W.A. The Psychology of Economics 1955, University of Chicago Press.
88. Whitten, S., Gorddard, R., Knight, A., Reeson, A., Stevens, D., 2008. Designing and Testing an Outcome Focused Conservation Auction: Evidence from a Field Trial Targeting Ground Nesting Birds. 10th International BIOECON Conference on the Effectiveness and Efficiency of Biodiversity Conservation Instruments, Sidney Sussex College, Cambridge, September 28-30, 2008. http://www.ucl.ac.uk/bioecon/10th_2008/13.Whitten.pdf.
89. Wood S.N. mgcv: GAMs and generalized ridge regression for R. R News 2001, 1(2):20-25.
90. Wood S.N. Generalized Additive Models: an Introduction with R 2006, Chapman and Hall/CRC.