Aiello-Lammens, M.E., Akçakaya, H.R., 2016. Using global sensitivity analysis of demographic models for ecological impact assessment. Conservation Biology 31, 116–25.Google Scholar

Akçkaya, H.R., Burgman, M.A., Ginzburg, L.R., 1999. Applied Population Ecology: Principles and Computer Exercises. Sinauer, 2nd ed.Google Scholar

Akter, S., Grafton, R.Q., Merritt, W.S., 2014. Integrated hydro-ecological and economic modelling of environmental flows: Macquarie Marshes, Australia. Agricultural Water Management 145, 98–109.Google Scholar

Albers, H.J., Ando, A.W., Batz, M., 2008. Patterns of multi-agent land conservation: Crowding in/out, agglomeration, and policy. Resource and Energy Economics 30, 492–508.Google Scholar

Albers, H.J., Lee, K.D., Sims, K.R.E., 2018. Economics of habitat fragmentation: A review and critique of the literature. International Review of Environmental and Resource Economics 11, 97–144.Google Scholar

Alligood, K.T., Sauer, T.D., Yorke, J.A., 2000. Chaos: An Introduction to Dynamical Systems. Springer.Google Scholar

Anderies, J.M., 2000. On modelling human behaviour and institutions in simple ecological economic systems. Ecological Economics 35, 393–412.Google Scholar

Ando, A.W., Camm, J., Polasky, S., Solow, A., 1998. Species distributions, land values, and efficient conservation. Science 279, 2126–8.Google Scholar

Ando, A.W., Mallory, M.L., 2012. Optimal portfolio design to reduce climate-related conservation uncertainty in the Prairie Pothole Region. Proceedings of the National Academy of Sciences of the USA 109, 6484–9.Google Scholar

Annachiarico, B., Di Dio, F., 2017. GHG emissions control and monetary policy. Environmental and Resource Economics 67, 823–51.Google Scholar

Armsworth, P.R., 2018. Time discounting and the decision to protect areas that are near and threatened or remote and cheap to acquire. Conservation Biology 32, 1063–73.Google Scholar

Armsworth, P.R., Acs, S., Dallimer, M., Gaston, K.J., Hanley, N., Wilson, P., 2012. The cost of policy simplification in conservation incentive programs. Ecology Letters 15, 406–14.Google Scholar

Armsworth, P.R., Daily, G.C., Kareiva, P., Sanchirice, J.N., 2006. Land market feedbacks can undermine biodiversity conservation. Proceedings of the National Academy of Sciences of the USA 103, 5403–8.Google Scholar

Asheim, G.B., 2013. A distributional argument for supply-side climate policies. Environmental and Resource Economics 56, 239–54.Google Scholar

Atewamba, C., Nkuiya, B., 2017. Testing the assumptions and predictions of the Hotelling Model. Environmental and Resource Economics 66, 169–203.Google Scholar

Axelrod, R., Hamilton, W.D., 1981. The evolution of cooperation. Science 27, 1390–6.Google Scholar

Baker, C.M., Gordon, A., Bode, M., 2016. Ensemble ecosystem modeling for predicting ecosystem response to predator reintroduction. Conservation Biology 31, 376–84.Google Scholar

Ball, I.R., Possingham, H.P., Watts, M., 2009. Marxan and relatives: Software for spatial conservation prioritisation. In Moilanen, A., Wilson, K.A., Possingham, H.P. (eds.), Spatial Conservation Prioritisation: Quantitative Methods and Computational Tools. Oxford University Press, pp. 185–95.Google Scholar

Bamière, L., David, M., Vermont, B., 2013. Agri-environmental policies for biodiversity when the spatial pattern of the reserve matters. Ecological Economics 85, 97–104.Google Scholar

Banerjee, S., Cason, T.N., de Vries, F.P., Hanley, N., 2018. Spatial coordination and joint bidding in conservation auctions. Paper presented at the BIOECON conference 2018 in Cambridge, UK. www.bioecon-network.org/pages/20th%202018/Hanley_1.pdf (last accessed 10 October 2019).Google Scholar

Banerjee, S., de Vries, F.P., Hanley, N., van Soest, D.P., 2014. The impact of information provision on agglomeration bonus performance: An experimental study on local networks. American Journal of Agricultural Economics 96, 1009–29.Google Scholar

Banerjee, S., Kwasnica, A.M., Shortle, J.S., 2012. Agglomeration bonus in small and large local networks: A laboratory examination of spatial coordination. Ecological Economics 84, 142–52.Google Scholar

Banerjee, S., Kwasnica, A.M., Shortle, J.S., 2015. Information and auction performance: A laboratory study of conservation auctions for spatially contiguous land management. Environmental and Resource Economics 61, 409–31.Google Scholar

Barabás, G., D’Andrea, R., Stump, S.M., 2018. Chesson’s coexistence theory. Ecological Monographs 88, 277–303.Google Scholar

Barraquand, F., Louca, S., Abbott, K.C., et al., 2017. Moving forward in circles: Challenges and opportunities in modelling population cycles. Ecology Letters 20, 1074–92.Google Scholar

Barraquand, F., Martinet, V., 2011. Biological conservation in dynamic agricultural landscapes: Effectiveness of public policies and trade-offs with agricultural production. Ecological Economics 70, 910–20.Google Scholar

Baskett, M.L., Waples, R.S., 2012. Evaluating alternative strategies for minimizing unintended fitness consequences of cultured individuals of wild populations. Conservation Biology 27, 83–94.Google Scholar

Bátary, P., Dicks, L.V., Kleijn, D., Sutherland, W.J., 2015. The role of agri-environment schemes and environmental management. Conservation Biology 29, 1006–16.Google Scholar

Bauer, D.M., Wing, I.S., 2016. The macroeconomic cost of catastrophic pollinator declines. Ecological Economics 126, 1–13.Google Scholar

Baumgärtner, S., Becker, C., Faber, M., Manstetten, R., 2006. Relative and absolute scarcity of nature: Assessing the roles of economics and ecology for biodiversity conservation. Ecological Economics 59, 487–98.Google Scholar

Baumgärtner, S., Becker, C., Frank, K., Müller, B., Quaas, M., 2008. Relating the philosophy and practice of ecological economics: The role of concepts, models, and case studies in inter- and transdisciplinary sustainability research. Ecological Economics 67, 384–93.Google Scholar

Baumgärtner, S., Quaas, M.F., 2009. Ecological-economic viability as a criterion of strong sustainability under uncertainty. Ecological Economics 68, 2008–20.Google Scholar

Becher, M.A., Grimm, V., Thorbeck, P., Horn, J., Kennedy, P.J., Osborne, J.L., 2014. BEEHAVE: A systems model of honeybee colony dynamics and foraging to explore multifactorial causes of colony failure. Journal of Applied Ecology 51, 470–82.Google Scholar

Begon, M., Townsend, C.R., Harper, J.L., 1990. Ecology: From Individuals to Ecosystems. Blackwell, 2nd ed.Google Scholar

Beissinger, S.R., McCullough, D.R. (eds.), 2002. Population Viability Analysis. University of Chicago Press.Google Scholar

Bell, A., Parkhurst, G., Droppelmann, K., Benton, T.G., 2016. Scaling up pro-environmental agricultural practice using agglomeration payments: Proof of concept from an agent-based model. Ecological Economics 126, 32–41.Google Scholar

Ben-Haim, Y., 2001. Information-Gap Theory: Decisions under Severe Uncertainty. Academic Press.Google Scholar

Bertram, C., Quaas, M.F., 2017. Biodiversity and optimal multi-species ecosystem management. Environmental and Resource Economics 67, 321–50.Google Scholar

Bode, M., Probert, W., Turner, W.R., Wilson, K.A., Venter, O., 2011. Conservation planning with multiple organisations and objectives. Conservation Biology 25, 295–304.Google Scholar

Bode, M., Wilson, K.A., Brooks, T.M., et al., 2008. Cost-effective global conservation spending is robust to taxonomic group. Proceedings of the National Academy of Sciences of the USA 105, 6489–501.Google Scholar

Boettiger, C., Bode, M., Sanchirico, J.N., et al., 2016. Optimal management of a stochastically varying population when policy adjustment is costly. Ecological Applications 26, 808–17.Google Scholar

Bolton, G.E., Ockenfels, A., 2000. A theory of equity, reciprocity, and competition. American Economic Review 90, 166–93.Google Scholar

Börgers, T., Krähmer, D., Strausz, R., 2015. An Introduction to the Theory of Mechanism Design. Oxford University Press, 1st ed.Google Scholar

Box, G.E.P., 1979. Robustness in scientific model building. In Launer, R.L., Wilkinson, G.N. (eds.), Robustness in Statistics. Academic Press, pp. 201–36.Google Scholar

Brans, J.P., Mareschal, B., 1990. The PROMETHEE methods for MCDM; the PROMCALC, GAIA and BANKADVISER software. In Bana e Costa, C.A. (ed.), Readings in Multiple Criteria Decision Aid. Springer, pp. 216–52.Google Scholar

Brauchli, K., Killingback, T., Doebeli, , 1999. Evolution of cooperation in spatially structured populations. Journal of Theoretical Biology 200, 405–17.Google Scholar

Brinck, K., Fischer, R., Groeneveld, J., et al., 2017. High resolution analysis of tropical forest fragmentation and its impact on the global carbon cycle. Nature Communications 8, 14855.Google Scholar

Brock, W.A., Xepapadeas, A., 2018. Modeling coupled climate, ecosystems, and economic systems. Handbook of Environmental Economics 4, 1–60.Google Scholar

Bull, J.W., Gordon, A., Law, E.A., Suttle, K.B., Millner-Gulland, E.J., 2014. Importance of baseline specification in evaluating conservation interventions and achieving no net loss of biodiversity. Conservation Biology 28, 799–809.Google Scholar

Bulte, E.H., Horan, R.D., 2003. Habitat conservation, wildlife extraction and agricultural expansion. Journal of Environmental Economics and Management 45, 109–27.Google Scholar

Burgman, M.A., Ferson, S., Akçakaya, H.R., 1993. Risk Assessment in Conservation Biology. Chapman & Hall.Google Scholar

Caswell, H., 2001. Matrix Population Models. Sinauer.Google Scholar

Chaikin, P.M., Lubensky, T.C., 1995. Principles of Condensed Matter Physics. Cambridge University Press.Google Scholar

Chavas, J.-P., Di Falco, S., 2017. Resilience, weather and dynamic adjustments in agroecosystems: The case of wheat yield in England. Environmental and Resource Economics 67, 297–320.Google Scholar

Chen, S., Dobramysl, U., Täuber, U.C., 2018. Evolutionary dynamics and competition stabilize three-species predator–prey communities. Ecological Complexity 36, 57–72.Google Scholar

Chesson, P., 2000. Mechanisms of maintenance of species diversity. Annual Review of Ecology, Evolution and Systematics 31, 343–66.Google Scholar

Chobotová, V., 2013. The role of market-based instruments for biodiversity conservation in Central and Eastern Europe. Ecological Economics 95, 41–50.Google Scholar

Choi, P.-S., Espínola-Arredondo, A., Muñoz-García, F., 2018. Conservation procurement auctions with bidirectional externalities. Journal of Environmental Economics and Management 92, 559–79.Google Scholar

Chomitz, K.M., 2004. Transferable development rights and forest protection: An exploratory analysis. International Regional Science Review 27, 348–73.Google Scholar

Clark, C.W., 2010. Mathematical Bioeconomics: The Mathematics of Conservation. Wiley.Google Scholar

Collard, B., Tixier, P., Carval, D., Lavigne, C., Delattre, T., 2018. Spatial organisation of habitats in agricultural plots affects per-capita predator effect on conservation biological control: An individual based modelling study. Ecological Modelling 388, 124–35.Google Scholar

Comello, S.D., Maltais-Landry, G., Schwegler, B.R., Lepech, M.D., 2014. Firm-level ecosystem service valuation using mechanistic biogeochemical modeling and functional substitutability. Ecological Economics 100, 63–73.Google Scholar

Common, M., Perrings, C., 1992. Towards an ecological economics of sustainability. Ecological Economics 6, 7–34.Google Scholar

Cong, R.-G., Ekroos, J., Smith, H.G., Brady, M.V., 2016. Optimizing intermediate ecosystem services in agriculture using rules based on landscape composition and configuration indices. Ecological Economics 128, 214–23.Google Scholar

Connell, J.H., 1978. Diversity in tropical rain forests and coral reefs. Science 199, 1302–10.Google Scholar

Conrad, J.M., Lopes, A.A., 2017. Poaching and the dynamics of a protected species. Resource and Energy Economics 48, 55–67.Google Scholar

Cordier, M., Pérez Agúndez, J.A., Hecq, W., Hamaide, B., 2014. A guiding framework for ecosystem services monetization in ecological-economic modeling. Ecosystem Services 8, 86–96.Google Scholar

Costanza, R., 1989. What is ecological economics? Ecological Economics 1, 1–7.Google Scholar

Costanza, R., d’Arge, R., de Groot, R., et al., 1997. The value of the world’s ecosystem services and natural capital. Nature 387, 253–60.Google Scholar

Costanza, R., Cumberland, J., Daly, H., Goodland, R., Noorgard, R., 1997. An Introduction to Ecological Economics. St. Lucie Press and ISEE.Google Scholar

Costanza, R., Wainger, L, Folke, C., Maler, K.-G. 1993. Modeling complex ecological economic systems: Toward an evolutionary, dynamic understanding of people and nature. BioScience 43, 545–55.Google Scholar

Costello, C., Polasky, S., 2004. Dynamic reserve site selection. Resource and Energy Economics 26, 157–74.Google Scholar

Coulson, T., Mace, G.M., Hudson, E., Possingham, H.P., 2001. The use and abuse of population viability analysis. Trends in Ecology & Evolution 16, 219–21.Google Scholar

Creti, A., Kotelnikova, A., Meunier, G., Ponssard, J.-P., 2018. Defining the abatement cost in presence of learning-by-doing: Application to the fuel cell electric vehicle. Environmental and Resource Economics 71, 777–800.Google Scholar

Cumming, G.S., 2018. A review of social dilemmas and social-ecological traps in conservation and natural resource management. Conservation Letters 11, 1–15.Google Scholar

Dalmazzone, S., Giaccaria, S., 2014. Economic drivers of biological invasions: A worldwide, bio-geographic analysis. Ecological Economics 105, 154–65.Google Scholar

Daly, H., Cobb, J., 1989. For the Common Good–Redirecting the Economy towards Community, the Environment and Sustainable Development. Green Print.Google Scholar

Daly, H.E., Farley, J., 2010. Ecological Economics: Principles and Applications. Island Press, 2nd ed.Google Scholar

Daniels, S., Witters, N., Beliën, T., Vrancken, K., Vangronsveld, J., Van Passel, S., 2017. Monetary valuation of natural predators for biological pest control in pear production. Ecological Economics 134, 160–73.Google Scholar

Dantas de Paula, M., Groeneveld, J., Huth, A., 2015. Tropical forest degradation and recovery in fragmented landscapes: Simulating changes in tree community, forest hydrology and carbon balance. Global Ecology and Conservation 3, 664–77.Google Scholar

Denman, K.L., Brasseur, G., Chidthaisong, A., et al., 2007. Couplings between changes in the climate system and biogeochemistry. In Solomon, S., Qin, D., Manning, M., et al. (eds.), Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press.Google Scholar

Dennis, B., Assas, L., Elaydi, S., Kwessi, E., Livadiotis, G., 2016. Allee effects and resilience in stochastic populations. Theoretical Ecology 9, 323–35.Google Scholar

Derissen, S., Quaas, M.F., 2013. Combining performance-based and action-based payments to provide environmental goods under uncertainty. Ecological Economics 85, 77–84.Google Scholar

Derissen, S., Quaas, M.F., Baumgärtner, S., 2011. The relationship between resilience and sustainability of ecological-economic systems. Ecological Economics 70, 1121–8.Google Scholar

DeShazo, J.R, Fermo, G., 2002. Designing choice sets for stated preference methods: The effects of complexity on choice consistency. Journal of Environmental Economics and Management 44, 123–43.Google Scholar

Deutsch, A., Dormann, S., 2005. Cellular Automaton Modeling of Biological Pattern Formation. Birkhäuser.Google Scholar

Dhanjal-Adams, K.L., Klaassen, M., Nicol, S., Possingham, H.P., Chadès, I., Fuller, R.A., 2017. Setting conservation priorities for migratory networks under uncertainty. Conservation Biology 31, 646–56.Google Scholar

Diamantaras, D., Cardamone, E., Campbell, K., Deacle, S., Delgado, L., 2009. A Toolbox for Economic Design: 2009 Edition. Palgrave Macmillan.Google Scholar

Di Minin, E., Laitila, J., Montesino-Pouzols, F., et al., 2014. Identification of policies for a sustainable legal trade in rhinoceros horn based on population projection and socioeconomic models. Conservation Biology 29, 545–55.Google Scholar

Dislich, C., Hettig, E., Salecker, J., Heinonen, J., Lay, J., Meyer, K.M., Wiegand, K., Tarigan, S., 2018. Land-use change in oil palm dominated tropical landscapes: An agent-based model to explore ecological and socio-economic trade-offs. PLoS one 13 (1), e0190506.Google Scholar

Dixit, A.K., Pindyck, R.S., 1994. Investment under Uncertainty. Princeton University Press.Google Scholar

Doak, D.F., Bakker, V.J., Vickers, W., 2013. Using population viability criteria to assess strategies to minimize disease threats for an endangered carnivore. Conservation Biology 27, 303–14.Google Scholar

Dobson, A.J., 1983. Introduction to Statistical Modelling. Springer.Google Scholar

Doyen, L., Cissé, A., Gourguet, S., et al., 2013. Ecological-economic modelling for the sustainable management of biodiversity. Computational Management Science 10, 353–64.Google Scholar

Drechsler, M., 2011. Trade-offs in the design of cost-effective habitat networks when conservation costs are variable in space and time. Biological Conservation 144, 479–89.Google Scholar

Drechsler, M., 2017a. Performance of input- and output-based payments for the conservation of mobile species. Ecological Economics 134, 49–56.Google Scholar

Drechsler, M., 2017b. Generating spatially optimized habitat in a trade-off between social optimality and budget efficiency. Conservation Biology 31, 221–5.Google Scholar

Drechsler, M., 2017c. The impact of fairness on side payments and cost-effectiveness in agglomeration payments for biodiversity conservation. Ecological Economics 141, 127–35.Google Scholar

Drechsler, M., 2018. Modelling the effectiveness and permanence of a compensation payment scheme for the conservation of a public environmental good. Presentation at the BIOECON conference 2018 in Cambridge, UK. www.bioecon-network.org/pages/20th%202018/Drechsler.pdf (last accessed 10 October 2019).Google Scholar

Drechsler, M., Egerer, J., Lange, M., et al., 2017. Efficient and equitable spatial allocation of renewable power plants at the country scale. Nature Energy 2, 17124.Google Scholar

Drechsler, M., Grimm, V., Myšiak, J., Wätzold, F., 2007. Differences and similarities between ecological and economic models for biodiversity conservation. Ecological Economics 62, 232–41.Google Scholar

Dressler, G., Groeneveld, J., Buchmann, C.M., et al., in press. Implications of behavioral change for the resilience of pastoral systems: Lessons from an agent-based model. Ecological Complexity.Google Scholar

Drechsler, M., Hartig, F., 2011. Conserving biodiversity with tradable permits under changing conservation costs and habitat restoration time lags. Ecological Economics 70, 533–41.Google Scholar

Drechsler, M., Johst, K., Wätzold, F., Shogren, J.F., 2010. An agglomeration payment for cost-effective biodiversity conservation in spatially structured landscapes. Resource and Energy Economics 32, 261–75.Google Scholar

Drechsler, M., Smith, G.H., Sturm, A., Wätzold, F., 2016. Cost-effectiveness of conservation payment schemes for species with different range sizes. Conservation Biology 30, 894–9.Google Scholar

Drechsler, M., Wätzold, F., 2009. Applying tradable permits to biodiversity conservation: Effects of space-dependent conservation benefits and cost heterogeneity on habitat allocation. Ecological Economics 68, 1083–92.Google Scholar

Drechsler, M., Wissel, C., 1997. Separability of local and regional dynamics in metapopulations. Theoretical Population Biology 51, 9–21.Google Scholar

Drechsler, M., Zwerger, W., 1992. Crossover from BCS-superconductivity to Bose-condensation. Annalen der Physik 1, 15–23.Google Scholar

Edwards-Jones, G., Davies, B., Hussain, S.S., 2000. Ecological Economics: An Introduction. Wiley-Blackwell.Google Scholar

Eeckhoudt, L., Schlesinger, H., Gollier, C., 2005. Economic and Financial Decisions Under Risk. Princeton University Press.Google Scholar

Egger, P., Nigai, S., 2015. Energy demand and trade in general equilibrium. Environmental and Resource Economics 60, 191–213.Google Scholar

Eichhorn, M., Johst, K., Seppelt, R., Drechsler, M., 2012. Model-based estimation of collision risks of predatory birds with wind turbines. Ecology and Society 17 (2), 1.Google Scholar

Eisenack, K., 2016. Institutional adaptation to cooling water scarcity for thermoelectric power generation under global warming. Ecological Economics 124, 153–63.Google Scholar

Eken, G., Bennun, L., Brooks, T.M., et al., 2004. Key biodiversity areas as site conservation targets. BioScience 54, 1110–18.Google Scholar

Engel, S., Pagiola, S., Wunder, S., 2008. Designing payments for environmental services in theory and practice: An overview of the issues. Ecological Economics 65, 663–74.Google Scholar

Epanchin-Niell, R.S., Wilen, J.E., 2015. Individual and cooperative management of invasive species in human-mediated landscapes. American Journal of Agricultural Economics 97, 180–98.Google Scholar

Epps, T.W., 2015. Probability and Statistical Theory for Applied Researchers. World Scientific Publishing Company.Google Scholar

Erev, I., Roth, A.E., 1998. Predicting how people play games with unique, mixed strategy equilibria. American Economic Review 88, 848–81.Google Scholar

Faber, M., 2008. How to be an Ecological Economist. Ecological Economics 66, 1–7.Google Scholar

Fahse, L., Wissel, C., Grimm, V., 1998. Reconciling classical and individual-based approaches in theoretical population ecology: A protocol for extracting population parameters from individual-based models. American Naturalist 152, 838–52.Google Scholar

Fees, E., Seliger, A., 2013. Umweltökonomie und Umweltpolitik. Franz Vahlen, Munich, 4th ed.Google Scholar

Fehr, E., Schmidt, K.M., 1999. A theory of fairness, competition, and cooperation. Quarterly Journal of Economics 114, 817–68.Google Scholar

Fenichel, E.P., Horan, R.D., 2016. Tinbergen and tipping points: Could some thresholds be policy-induced? Journal of Economic Behavior and Organization 132, 137–52.Google Scholar

Fernandes, L., Day, J., Lewis, A., et al., 2005. Establishing representative no-take areas in the Great Barrier Reef: Large-scale implementation of theory on marine protected areas. Conservation Biology 19, 1733–44.Google Scholar

Ferraro, P.J., Simpson, R.D., 2002. The cost-effectiveness of conservation payments. Land Economics 78, 339–53.Google Scholar

Ferson, S., Burgman, M.A., 1995. Correlations, dependency bounds and extinction risks. Biological Conservation 73, 101–5.Google Scholar

Fieberg, J., Ellner, S.P., 2001. Stochastic matrix models for conservation and management: A comparative review of methods. Ecology Letters 4, 244–66.Google Scholar

Filatova, T., Verburg, P.H., Parker, D.C., Stannard, C.A., 2013. Spatial agent-based models for socio-ecological systems: Challenges and prospects. Environmental Modelling & Software 45, 1–7.Google Scholar

Fortuna, M.A, Gómez-Rodríguez, C., Bascompte, J., 2006. Spatial network structure and amphibian persistence in stochastic environments. Proceedings of the Royal Society B 273, 1429–34.Google Scholar

Fox, J., Nino‐Murcia, A., 2005. Status of species conservation banking in the United States. Conservation Biology 19, 996–1007.Google Scholar

Frank, K., 2005. Metapopulation persistence in heterogeneous landscapes: Lessons about the effect of stochasticity. American Naturalist 165, 274–388.Google Scholar

Frederick, S., Loewenstein, G., O’Donoghue, T., 2002. Time discounting and time preference: A critical review. Journal of Economic Literature 40, 351–401.Google Scholar

Fudenberg, D., Tirole, J., 1991. Game Theory. MIT Press.Google Scholar

Fung, T., O’Dwyer, J.P., Chisholm, R.A., 2018. Quantifying species extinction risk under temporal environmental variance. Ecological Complexity 34, 139–46.Google Scholar

Gahvari, F., 2014. Second-best Pigouvian taxation: A clarification. Environmental and Resource Economics 59, 525–35.Google Scholar

Gallai, N., Salles, J.-M., Settele, J., Vaissière, B.E., 2009. Economic valuation of the vulnerability of world agriculture confronted with pollinator decline. Ecological Economics 68, 810–21.Google Scholar

Gardner, M., 1970. The fantastic combinations of John Conway’s new solitaire game ‘Life’. Scientific American 223, 120–3.Google Scholar

Ge, X., Li, Y., Luloff, A., Dong, K., Xiao, J., 2015. Effect of agricultural economic growth on sandy desertification in Horqin Sandy Land. Ecological Economics 119, 53–63.Google Scholar

Gerigk, J., MacKenzie, I.A., Ohndorf, M., 2015. A model of benchmarking regulation: Revisiting the efficiency of environmental standards. Environmental and Resource Economics 62, 59–82.Google Scholar

Geritz, S.A.H., Kisdi, É., 2004. On the mechanistic underpinning of discrete-time population models with complex dynamics. Journal of Theoretical Biology 228, 261–9.Google Scholar

Getz, W.M., 1998. An introspection on the art of modeling in population ecology. BioScience 48, 540–52.Google Scholar

Getzin, S., Yizhaq, H., Bell, B., et al., 2016. Discovery of fairy circles in Australia supports self-organization theory. Proceedings of the National Academy of Sciences of the USA 113, 3551–6.Google Scholar

Gintis, H., 2009. Game Theory Evolving: A Problem-Centered Introduction to Modeling Strategic Interaction. Princeton University Press, 2nd ed.Google Scholar

Gjertsen, H., Squires, D., Dutton, P.H., Eguchi, T., 2014. Cost-effectiveness of alternative conservation strategies with application to the Pacific leatherback turtle. Conservation Biology 28, 140–9.Google Scholar

Glynatsi, N.E., Knight, V., Lee, T.E., 2018. An evolutionary game theoretic model of rhino horn devaluation. Ecological Modelling 389, 33–40.Google Scholar

Goel, N.S., Richter-Dyn, N., 1974. Stochastic Models in Biology. Academic Press.Google Scholar

Gourguet, S., Macher, C., Doyen, L., et al., 2013. Managing mixed fisheries for bio-economic viability. Fisheries Research 140, 46–62.Google Scholar

Grant, T.J., Parry, H.R., Zalucki, M.P., Bradbury, S.P., 2018. Predicting monarch butterfly (Danaus plexippus) movement and egg-laying with a spatially-explicit agent-based model: The role of monarch perceptual range and spatial memory. Ecological Modelling 374, 37–50.Google Scholar

Grashof-Bokdam, C.J., Cormont, A., Polman, N.B.P., Westerhof, E.J.G.M., Franke, J.G.J., Opdam, P.F.M., 2017. Modelling shifts between mono- and multifunctional farming systems: The importance of social and economic drivers. Landscape Ecology 32, 595–607.Google Scholar

Grimm, V., 1999. Ten years of individual-based modelling in ecology: What have we learned and what could we learn in the future? Ecoogical Modelling 115, 129–48.Google Scholar

Grimm, V., Berger, U., 2016. Robustness analysis: Deconstructing computational models for ecological theory and applications. Ecological Modelling 326, 162–7.Google Scholar

Grimm, V., Berger, U., Bastiansen, F., et al., 2006. A standard protocol for describing individual-based and agent-based models. Ecological Modelling 198, 115–26.Google Scholar

Grimm, V., Railsback, S.F., 2005. Individual-Based Modelling and Ecology. Princeton University Press.Google Scholar

Grimm, V. Revilla, E., Berger, Jeltsch, et al., 2005. Pattern-oriented modelling of agent-based complex systems: Lessons from ecology. Science 310, 987–91.Google Scholar

Grimm, V., Wissel, C., 1997. Babel, or the ecological stability discussions: An inventory and analysis of terminology and a guide for avoiding confusion. Oecologia 109, 323–34.Google Scholar

Grimm, V. Wissel, V, 2004. The intrinsic mean time to extinction: A unifying approach to analysing persistence and viability of populations. Oikos 105, 501–11.Google Scholar

Groeneveld, J., Müller, B., Buchmann, C.M., et al., 2017. Theoretical foundations of human decision-making in agent-based land use models: A review. Environmental Modelling & Software 87, 39–48.Google Scholar

Grovermann, C., Schreinemachers, P., Riwthong, S., Berger, T., 2017. ‘Smart’ policies to reduce pesticide use and avoid income trade-offs: An agent-based model applied to Thai agriculture. Ecological Economics 132, 91–103.Google Scholar

Gunton, R.M., Marsh, C.J., Moulherat, S., et al., 2017. Multicriterion trade-offs and synergies for spatial conservation planning. Journal of Applied Ecology 54, 903–13.Google Scholar

Güth, W., Schmittberger, R., Schwarze, B., 1982. An experimental analysis of ultimatum bargaining. Journal of Economic Behavior & Organization 3, 367–88.Google Scholar

Gutrich, J.J., Gigliello, K., Gardner, K.V., Elmore, A.J., 2016. Economic returns of groundwater management sustaining an ecosystem service of dust suppression by alkali meadow in Owens Valley, California. Ecological Economics 121, 1–11.Google Scholar

Haab, T.C., Whitehead, J.C., 2014. Environmental and Natural Resource Economics: An Encyclopedia. Greenwood Publishing Group, 1st ed.Google Scholar

Hackett, S.B., Moxnes, E., 2015. Natural capital in integrated assessment models of climate change. Ecological Economics 116, 354–61.Google Scholar

Hailu, A., Schilizzi, S., Thoyer, S., 2005. Assessing the performance of auctions for the allocation of conservation contracts: Theoretical and computational approaches. Selected paper prepared for presentation at the American Agricultural Economics Association Annual Meeting, Providence, Rhode Island, 24–27 July 2005. www.researchgate.net/profile/Steven_Schilizzi/publication/23506218_Assessing_the_performance_of_auctions_for_the_allocation_of_conservation_contracts_Theoretical_and_computational_approaches/links/0fcfd50ad593cb5a61000000/Assessing-the-performance-of-auctions-for-the-allocation-of-conservation-contracts-Theoretical-and-computational-approaches.pdf (last accessed 10 October 2019).Google Scholar

Haken, H., 1991. Synergetics. Springer.Google Scholar

Hamill, L., Gilbert, N., 2016. Agent-Based Modelling in Economics. Wiley.Google Scholar

Hanau, A., 1928. Die Prognose der Schweinepreise. Vierteljahreshefte zur Konjunkturforschung. Verlag Reimar Hobbing.Google Scholar

Hanley, N., Acs, S., Dallimer, M., Gaston, K.J., Graves, A., Morris, J., Armsworth, P.R., 2012. Farm-scale ecological and economic impacts of agricultural change in the uplands. Land Use Policy 29, 587–97.Google Scholar

Hanley, N., Shogren, J.F., White, B., 2007. Envoronmental Economics: In Theory and Practice. Palgrave Macmillan, 2nd ed.Google Scholar

Hansjürgens, B., Antes, R., Strunz, M., (eds.), 2016. Permit Trading in Different Applications. Routledge.Google Scholar

Hanski, I., 1994. A practical model of metapopulation dynamics. Journal of Animal Ecology 63, 151–62.Google Scholar

Hanski, I., 1999. Metapopulation Ecology. Oxford University Press.Google Scholar

Hanski, I., Gaggiotti, O.E., (eds.), 2004. Ecology, Genetics and Evolution of Metapopulations. Elsevier Academic Press.Google Scholar

Hanski, I., Gilpin, M. (eds.), 1997. Metapopulation Biology. Academic Press.Google Scholar

Hanski, I., Ovaskainen, O., 2000. The metapopulation capacity of a fragmented landscape. Nature 404, 755–8.Google Scholar

Hartig, F., Calabrese, J.M., Reineking, B., 2011. Statistical inference for stochastic simulation models: Theory and application. Ecology Letters 14, 816–27.Google Scholar

Hartig, F., Drechsler, M., 2009. Smart spatial incentives for market-based conservation. Biological Conservation 142, 779–88.Google Scholar

Hartig, F., Drechsler, M., 2010. Stay by thy neighbor? Social organization determines the efficiency of biodiversity markets with spatial incentives. Ecological Complexity 7, 91–9.Google Scholar

Hartig, F., Horn, M., Drechsler, M., 2010. EcoTRADE: A multi-player network game of a tradable permit market for biodiversity credits. Environmental Modelling & Software 25, 1479–80.Google Scholar

Hassell, M.P., 1975. Density-dependence in single-species populations. Journal of Animal Ecology 44, 283–95.Google Scholar

Hatcher, A., Nøstbakken, L., 2015. Quota setting and enforcement choice in a shared fishery. Environmental and Resource Economics 61, 559–75.Google Scholar

Heckbert, S., Baynes, T., Reeson, A., 2010. Agent-based modeling in ecological economics. Annals of the New York Academy of Sciences 1185, 39–53.Google Scholar

Heinrichs, J.A., Aldridge, C.L., O’Donnell, M.S., Schumaker, N.H., 2017. Using dynamic population simulations to extend resource selection analyses and prioritize habitats for conservation. Ecological Modelling 359, 449–59.Google Scholar

Hicks, J.S., Burgman, M.A., Marewski, J.N., Fidler, F., Gigerenzer, G., 2012. Decision making in a human population living sustainably. Conservation Biology 26, 760–8.Google Scholar

Hoffman, E., McCabe, K., Smith, V.L., 1996. Social distance and other-regarding behavior in dictator games. American Economic Review 86, 653–60.Google Scholar

Hohenberg, P.C., Krekhov, H.P., 2015. An introduction to the Ginzburg–Landau theory of phase transitions and nonequilibrium patterns. arXiv:1410.7285v3 [cond-mat.stat-mech] 18 February 2015.Google Scholar

Holland, M.D., Hastings, A., 2008. Strong effect of dispersal network structure on ecological dynamics. Nature 456, 792–4.Google Scholar

Holling, C.S., 1973. Resilience and stability of ecological systems. Annual Review of Ecology and Systematics 4, 1–23.Google Scholar

Holyoak, M., Leibold, M.A., Holt, R.D. (eds.), 2005. Metacommunities: Spatial Dynamics and Ecological Communities. University of Chicago Press.Google Scholar

Horn, J., Becher, M. A., Kennedy, P.J., Osborne, J.L., Grimm, V., 2016. Multiple stressors: Using the honeybee model BEEHAVE to explore how spatial and temporal forage stress affects colony resilience. Oikos 125, 1001–16.Google Scholar

Huang, B., Abbott, J.K., Fenichel, E.P., et al., 2017. Testing the feasibility of a hypothetical whaling-conservation permit market in Norway. Conservation Biology 31, 809–17.Google Scholar

Hubbell, S.P., 2001. The Unified Neutral Theory of Biodiversity and Biogeography. Princeton University Press.Google Scholar

Iacona, G.D., Bode, M., Armsworth, P.R., 2016. Limitations of outsourcing on-the-ground biodiversity conservation. Conservation Biology 30, 1245–54.Google Scholar

Iftekhar, Md.S., Latacz‐Lohmann, U., 2017. How well do conservation auctions perform in achieving landscape‐level outcomes? A comparison of auction formats and bid selection criteria. Australian Journal of Agricultural and Resource Economics 61, 557–75.Google Scholar

Iftekhar, Md.S., Tisdell, J.G., 2016. An agent based analysis of combinatorial bidding for spatially targeted multi-objective environmental programs. Environmental and Resource Economics 64, 537–58.Google Scholar

Iho, A., Ahlvik, L., Ekholm, P., Lehtoranta, J., Kortelainen, P., 2017. Optimal phosphorus abatement redefined: Insights from coupled element cycles. Ecological Economics 137, 13–19.Google Scholar

Ings, T.C., Montoya, J.M., Bascompte, J., et al., 2009. Ecological networks: Beyond food webs. Journal of Animal Ecology 79, 253–69.Google Scholar

Innes, R., 2000. The economics of takings and compensation when land and its public use values are in private hands. Land Economics 76, 195–212.Google Scholar

Ishizaka, A., Nemery, P., 2013. Multi-Criteria Decision Analysis: Methods and Software. Wiley.Google Scholar

Jackson, N.D., Fahrig, L., 2016. Habitat amount, not habitat configuration, best predicts population genetic structure in fragmented landscapes. Landscape Ecology 31, 951–68.Google Scholar

Jalas, M., Juntunen, J.K., 2015. Energy intensive lifestyles: Time use, the activity patterns of consumers, and related energy demands in Finland. Ecological Economics 113, 51–9.Google Scholar

Jeltsch, F., Milton, S.J., Dean, W.R.J., von Rooyen, N., 1996. Tree spacing and coexistence in semiarid savannas. Journal of Ecology 84, 583–95.Google Scholar

Jeltsch, F., Weber, G.E., Grimm, V., 2000. Ecological buffering mechanisms in savannas: A unifying theory of long-term tree–grass coexistence. Plant Ecology 161, 161–71.Google Scholar

Jiang, Y., Koo, W.W., 2014. The short-term impact of a domestic cap-and-trade climate policy on local agriculture: A policy simulation with producer behavior. Environmental and Resource Economics 58, 511–37.Google Scholar

Johnson, R.A., Wichern, D.W., 2013. Applied Multivariate Statistical Analysis: Pearson New International Edition. Pearson Education Limited, 6th ed.Google Scholar

Johst, K., Drechsler, M., Thomas, J., Settele, J., 2006. Influence of mowing on the persistence of two endangered large blue butterfly species. Journal of Applied Ecology 43, 333–42.Google Scholar

Jopp, F., Reuter, F., Breckling, B. (eds.), 2011. Modelling Complex Ecological Dynamics. Springer.Google Scholar

Kælbling, L.P., Littman, M.L., Moore, A.W., 1996. Reinforcement learning: A survey. Journal of Artificial Intelligence Research 4, 237–85.Google Scholar

Kakeu, J., Johnson, E.P., 2018. Information exchange and transnational environmental problems. Environmental and Resource Economics 71, 583–604.Google Scholar

Kalkuhl, M., Edenhofer, M., Lessmann, K., 2015. The role of carbon capture and sequestration policies for climate change mitigation. Environmental and Resource Economics 60, 55–80.Google Scholar

Kane, A., Jackson, A.L., Ogada, D.L., Monadjem, A., McNally, L., 2014. Vultures acquire information on carcass location from scavenging eagles. Proceedings of the Royal Society B: Biological Sciences 281 (1793), 20141072.Google Scholar

Kirkpatrick, S., Gelatt, C.D., Vecchi, M.P., 1983. Optimization by simulated annealing. Science 220, 671–80.Google Scholar

Knight, F., 1921. Risk, Uncertainty, and Profit. Houghton Mifflin.Google Scholar

Koh, I., Lonsdorf, E.V., Artz, D.R., Pitts-Singer, T.L., Ricketts, T.H., 2018. Ecology and economics of using native managed bees for almond pollination. Journal of Economic Entomology 111, 16–25.Google Scholar

Köhler, P., Huth, A., 1998. The effects of tree species grouping in tropical rainforest modelling: Simulations with the individual-based model FORMIND. Ecological Modelling 109, 301–21.Google Scholar

Kollock, P., 1998. Social dilemmas: The anatomy of cooperation. Annual Review of Sociology 24, 183–214.Google Scholar

Kontoleon, A., Pascual, U., Swanson, T. (eds.), 2007. Biodiversity Economics: Principles, Methods, Applications. Cambridge University Press.Google Scholar

Kragt, M.E., Robertson, M.J., 2014. Quantifying ecosystem services trade-offs from agricultural practices. Ecological Economics 102, 147–57.Google Scholar

Krämer, J.E., Wätzold, F., 2018. The agglomeration bonus in practice: An exploratory assessment of the Swiss network bonus. Journal for Nature Conservation 43, 126–35.Google Scholar

Kuhfuss, L., Préget, R., de Vries, F.P., Hanley, N., Thoyer, S., 2018. Nudging participation and spatial agglomeration in payment for environmental service schemes. Discussion Papers in Environment and Development Economics, School of Geography and Sustainable Development, University of St Andrews. www.st-andrews.ac.uk/media/dept-of-geography-and-sustainable-development/pdf-s/DP%202017-11%20Kuhfuss%20et%20alpdf.pdf (last accessed 10 October 2019).Google Scholar

Kuhfuss, L., Préget, R., Thoyer, S., Hanley, N., 2016. Nudging farmers to enrol land into agri-environmental schemes: The role of a collective bonus. European Review of Agricultural Economics 43, 609–36.Google Scholar

Kukkala, A.S., Arponen, A., Maiorano, L., et al., 2016. Matches and mismatches between national and EU-wide priorities: Examining the Natura 2000 network in vertebrate species conservation. Biological Conservation 198, 193–201.Google Scholar

Laffont, J.-J., Martimort, D., 2002. The Theory of Incentives: The Principal–Agent Model. Princeton University Press.Google Scholar

Laffont, J.-J., Tirole, J., 1993. A Theory of Incentives in Procurement and Regulation. MIT Press.Google Scholar

Lapola, D.M., Schaldach, R., Alcamo, J., et al., 2010. Indirect land-use changes can overcome carbon savings from biofuels in Brazil. Proceedings of the National Academy of Sciences of the USA 107, 3388–93.Google Scholar

Laufenberg, J.S., Clark, J.D., Hooker, M.J., et al., 2016. Demographic rates and population viability of black bears in Louisiana. Wildlife Monographs 194, 1–37.Google Scholar

Latacz-Lohmann, U., van der Hamsvoort, C., 1997. Auctioning conservation contracts: A theoretical analysis and an application. American Journal of Agricultural Economics 79, 407–18.Google Scholar

Lehmann, P., Söderholm, P., 2018. Can technology-specific deployment policies be cost-effective? The case of renewable energy support schemes. Environmental and Resource Economics 71, 475–505.Google Scholar

Lehtomäki, J., Moilanen, A., 2013. Methods and workflow for spatial conservation prioritization using Zonation. Environmental Modelling & Software 47, 128–37.Google Scholar

Leibold, M.A., Chase, J.M., 2017. Metacommunity Ecology. Princeton University Press.Google Scholar

Leibold, M.A., Holyoak, M., Mouquet, N., et al., 2004. The metacommunity concept: A framework for multi-scale community ecology. Ecology Letters 7, 601–13.Google Scholar

Lennox, G.D., Gaston, K.J., Acs, S., et al., 2013. Conservation when landowners have bargaining power: Continuous conservation investments and cost uncertainty. Ecological Economics 93, 69–78.Google Scholar

Lentini, P.E., Gibbons, P., Carwardine, J., et al., 2013. Effect of planning for connectivity on linear reserve networks. Conservation Biology 4, 796–807.Google Scholar

Levin, S.A., Paine, R.T., 1974. Disturbance, patch formation, and community structure. Proceedings of the National Academy of Sciences of the USA 71, 2744–7.Google Scholar

Levins, R., 1966. The strategy of model building in population biology. American Naturalist 54, 421–31.Google Scholar

Levins, R., 1969. Some demographic and genetic consequences of environmental heterogeneity for biological control. Bulletin of the Entomological Society of America 15, 237–40.Google Scholar

Lewis, D.J., Plantinga, A.J., 2007. Policies for habitat fragmentation: Combining econometrics with GIS-based landscape simulations. Land Economics 83, 109–27.Google Scholar

Lewis, D.J., Plantinga, A.J., Nelson, E., Polasky, S., 2011. The efficiency of voluntary incentive policies for preventing biodiversity loss. Resource and Energy Economics 33, 192–211.Google Scholar

Leydold, J., 1997. Ein Cobweb-Model. statistik.wu-wien.ac.at/~leydold/MOK/HTML/node193.html (last accessed 10 October 2019).Google Scholar

Lifshitz, E.M., Pitaevskii, L.P., 1980. Statistical Physics Part 2. Butterworth-Heinemann.Google Scholar

Lin, J., Li, X., 2016. Conflict resolution in the zoning of eco-protected areas in fast-growing regions based on game theory. Journal of Environmental Management 170, 177–85.Google Scholar

Liu, Z., Gong, Y., Kontoleon, A., 2018. How do payments for environmental services affect land tenure? Theory and evidence from China. Ecological Economics 144, 195–213.Google Scholar

Lonsdorf, E.V., Thogmartin, W.E., Jacobi, S., et al., 2016. A generalizable energetics-based model of avian migration to facilitate continental-scale waterbird conservation. Ecological Applications 26, 1136–53.Google Scholar

Lotka, A.J., 1920. Analytical note on certain rhythmic relations in organic systems. Proceedings of the National Academy of Sciences of the USA 6, 410–15.Google Scholar

Louviere, J.J., Hensher, D.A., Swait, J.D., 2000. Stated Choice Methods: Analysis and Application. Cambridge University Press.Google Scholar

McDonald-Madden, E., Bode, M., Game, E.T., Grantham, H., Possingham, H.P., 2008. The need for speed: Informed land acquisitions for conservation in a dynamic property market. Ecology Letters 11, 1169–77.Google Scholar

McElderry, R.M., Salvato, M.H., Horvitz, C.C., 2015. Population viability models for an endangered endemic subtropical butterfly: Effects of density and fire on population dynamics and risk of extinction. Biodiversity and Conservation 24, 1589–608.Google Scholar

McGowan, C.P., Allan, N., Servoss, J., Hedwall, S., Wooldridge, B., 2017. Incorporating population viability models into species status assessment and listing decisions under the U.S. Endangered Species Act. Global Ecology and Conservation 12, 119–30.Google Scholar

Mallard, G., 2016. Bounded Rationality and Behavioural Economics. Routledge.Google Scholar

Managi, S. (ed.), 2012. The Economics of Biodiversity and Ecosystem Services. Routledge, 1st ed.Google Scholar

Mangham, L.J., Hanson, K., McPake, B., 2009. How to do (or not to do) … Designing a discrete choice experiment for application in a low-income country. Health Policy and Planning 24, 151–8.Google Scholar

Marescot, L., Chapron, G., Chadès, I., et al., 2013. Complex decisions made simple: A primer on stochastic dynamic programming. Methods in Ecology and Evolution 4, 872–84.Google Scholar

Margules, C.R., Pressey, R.L., 2000. Systematic conservation planning. Nature 405, 243–53.Google Scholar

Martinez-Allier, J., Muradian, R. (eds.), 2015. Handbook of Ecological Economics. Edward Elgar.Google Scholar

Marzloff, M.P., Little, L.R., Johnson, C.R., 2016. Building resilience against climate-driven shifts in a temperate reef system: Staying away from context-dependent ecological thresholds. Ecosystems 19, 1–15.Google Scholar

Matthews, R.B., Gilbert, N.G., Roach, A., Polhill, J.G., Gotts, N.M., 2007. Agent-based land-use models: A review of applications. Landscape Ecology 22, 1447–59.Google Scholar

May, F., Huth, A., Wiegand, T., 2015. Moving beyond abundance distributions: Neutral theory and spatial patterns in a tropical forest. Proceedings of the Royal Society B 282, 20141657.Google Scholar

May, R.M., 1976. Simple mathematical models with very complicated dynamics. Nature 261, 459–67.Google Scholar

Maynard Smith, J., 1982. Evolution and the Theory of Games. Cambridge University Press.Google Scholar

Meadows, D.H., Meadows, D.L., Randers, J., Behrens, W.W. III., 1972. The Limits to Growth: A Report for the Club of Rome's Project on the Predicament of Mankind. Universe Books.Google Scholar

Metcalfe, K., Vaz, S., Engelhard, G.H., Villanueva, M.C., Smith, R.J., Mackinson, S., 2015. Evaluating conservation and fisheries management strategies by linking spatial prioritization software and ecosystem and fisheries modelling tools. Journal of Applied Ecology 52, 665–74.Google Scholar

M’Gonigle, L.K., Greenspoon, P.B., 2014. Allee effects and species co-existence in an environment where resource abundance varies. Journal of Theoretical Biology 361, 61–8.Google Scholar

Millennium Ecosystem Assessment, 2005. Ecosystems and human well-being: Biodiversity synthesis. World Resources Institute.Google Scholar

Mitchell, R.C., Carson, R.T., 1989. Using Surveys to Value Public Goods: The Contingent Valuation Method. Resources for the Future, Washington, DC.Google Scholar

Miyasaka, T., Le, Q.B., Okuro, T., Zhao, X., Takeuchi, K., 2017. Agent-based modeling of complex social–ecological feedback loops to assess multi-dimensional trade-offs in dryland ecosystem services. Landscape Ecology 32, 707–27.Google Scholar

Moilanen, A., Wilson, K.A., Possingham, H.P., 2009. Spatial Conservation Prioritization. Oxford University Press.Google Scholar

Moloney, K.A., Levin, S.A., 1996. The effects of disturbance architecture on landscape-level population dynamics. Ecology 77, 375–94.Google Scholar

Morrison, M., Morgan, M.S., 1999a. Introduction. In Morgan, M.S., Morrison, M. (eds.), Models as Mediators. Cambridge University Press, pp. 1–9.Google Scholar

Morrison, M., Morrison, M.S., 1999b. Models as mediating instruments. In Morgan, M.S., Morrison, M. (eds.), Models as Mediators. Cambridge University Press, pp. 10–37.Google Scholar

Mouysset, L., Doyen, L., Allaire, J.G., Leger, F., 2011. Bio economic modeling for a sustainable management of biodiversity in agricultural lands. Ecological Economics 70, 617–26.Google Scholar

Mouysset, L., Doyen, L., Jiguet, F., 2013. From population viability analysis to coviability of farmland biodiversity and agriculture. Conservation Biology 28, 187–201.Google Scholar

Moxey, A., White, B., Ozanne, A., 1999. Efficient contract design for agri-environment policy. Journal of Agricultural Economics 50, 187–202.Google Scholar

Naidoo, R., Balmford, A., Ferraro, P.J., et al.., 2006. Integrating economic cost into conservation planning. Trends in Ecology and Evolution 21, 681–7.Google Scholar

Nalle, D.J., Montgomery, C.A., Arthur, J.L., Polasky, S., Schumaker, N.H., 2004. Modeling joint production of wildlife and timber. Journal of Environmental Economics and Management 48, 997–1017.Google Scholar

Negele, J.W., Orland, H., 1988. Quantum Many-Particle Systems. Perseus.Google Scholar

Nelson, E., Polasky, S., Lewis, D.J., et al., 2008. Efficiency of incentives to jointly increase carbon sequestration and species conservation on a landscape. Proceedings of the National Academy of Sciences of the USA 105, 9471–6.Google Scholar

Ng, C.F., McCarthy, M.A., Martin, T.G., Possingham, H.P., 2014. Determining when to change course in management actions. Conservation Biology 6, 1617–25.Google Scholar

Nguyen, N.P., Shortle, J.S., Reed, P.M., Nguyen, T.T., 2013. Water quality trading with asymmetric information, uncertainty and transaction costs: A stochastic agent-based simulation. Environmental and Resource Economics 35, 60–90.Google Scholar

Nicholson, C.R., Starfield, A.M., Kofinas, G.P., Kruse, J.A., 2002. Ten heuristics for interdisciplinary modeling projects. Ecosystems 5, 376–84.Google Scholar

Ninan, K.N. (ed.), 2010. Conserving and Valuing Ecosystem Services and Biodiversity: Economic, Institutional and Social Challenges. Routledge, 1st ed.Google Scholar

Nisbet, R.M., Gurney, W., 2003. Modelling Fluctuating Populations. Blackburn, reprint of 1st ed. (1982).Google Scholar

Nowak, M., 2006. Five rules for the evolution of cooperation. Science 314, 1560–3.Google Scholar

Nowak, M.A., May, R.M., 1992. Evolutionary games and spatial chaos. Nature 246, 15–18.Google Scholar

Nunes, P., van den Bergh, J.C.J.M., Nijkamp, P., 2003. The Ecological Economics of Biodiversity: Methods and Policy Applications. Edward Elgar.Google Scholar

Nuñez, T.A., Lawler, J.J., McRae, B.H., et al., 2013. Connectivity planning to address climate change. Conservation Biology 27, 407–16.Google Scholar

O’Hara, R.B., Arjas, E., Toivonen, H., Hanski, I., 2002. Bayesian analysis of metapopulation data. Ecology 83, 2408–15.Google Scholar

Ohl, C., Drechsler, M., Johst, K., Wätzold, F., 2006. Managing land use and land cover change in the biodiversity context with regard to efficiency, equality and ecological effectiveness. UFZ-Diskussionspapiere 3/2006, UFZ Leipzig-Halle GmbH, Germany. www.ufz.de/export/data/2/26205_dp200603.pdf (last accessed 10 October 2019).Google Scholar

Ohl, C., Drechsler, M., Johst, K., Wätzold, F., 2008. Compensation payments for habitat heterogeneity: Existence, efficiency, and fairness considerations. Ecological Economics 67, 126–74.Google Scholar

Oleś, K., Gudowska-Nowak, E., Kleczkowski, A., 2013. Efficient control of epidemics spreading on networks: Balance between treatment and recovery. PloS one 8, e63813.Google Scholar

Ozanne, A., Hogan, T., Colman, D., 2001. Moral hazard, risk aversion and compliance monitoring in agri-environmental policy. European Review of Agricultural Economics 28, 329–47.Google Scholar

Parkhurst, G.M., Shogren, J.F., 2007. Spatial incentives to coordinate contiguous habitat. Ecological Economics 64, 344–55.Google Scholar

Parkhurst, G.M., Shogren, J.F., Basrian, C., et al., 2002. Agglomeration bonus: An incentive mechanism to reunite fragmented habitat for biodiversity conservation. Ecological Economics 41, 305–28.Google Scholar

Parkhurst, G.M., Shogren, J.F., Crocker, T., 2016. Tradable set-aside requirements (TSARs): Conserving spatially dependent environmental amenities. Environmental and Resource Economics 63, 719–44.Google Scholar

Pascual, U., Muradian, R., Rodríguez, L. C., Duraiappah, A., 2010. Exploring the links between equity and efficiency in payments for environmental services: A conceptual approach. Ecological Economics 69, 1237–44.Google Scholar

Pautrel, X., 2015. Abatement technology and the environment–growth nexus with education. Environmental and Resource Economics 61, 297–318.Google Scholar

Pe’er, G., Saltz, D., Münkemüller, T., Matsinos, Y.G., Thulke, H.-H., 2013. Simple rules for complex landscapes: The case of hilltopping movements and topography. Oikos 122, 1483–95.Google Scholar

Peretti, C.T., Munch, S.B., Sugihara, G., 2013. Model-free forecasting outperforms the correct mechanistic model for simulated and experimental data. Proceedings of the National Academy of Sciences of the USA 110, 5253–7.Google Scholar

Perrings, C., 2006. Resilience and sustainable development. Environmental and Development Economics 11, 417–27.Google Scholar

Pezzey, J.C.V., Burke, P.J., 2014. Towards a more inclusive and precautionary indicator of global sustainability. Ecological Economics 106, 141–54.Google Scholar

Pielou, E.C., 1984. The Interpretation of Ecological Data: A Primer on Classification and Ordination. Wiley.Google Scholar

Piñero, P., Heikkinen, M., Mäenpää, I., Pongrácz, E., 2015. Sector aggregation bias in environmentally extended input output modeling of raw material flows in Finland. Ecological Economics 119, 217–29.Google Scholar

Plumecocq, G., 2014. The second generation of ecological economics: How far has the apple fallen from the tree? Ecological Economics 107, 457–68.Google Scholar

Polasky, S., Lewis, D.J., Plantinga, A.J., Nelson, E., 2014. Implementing the optimal provision of ecosystem services. Proceedings of the National Academy of Sciences of the USA 111, 6248–53.Google Scholar

Polasky, S., Nelson, E., Camm, J., et al., 2008. Where to put things? Spatial land management to sustain biodiversity and economic returns. Biological Conservation 141, 1505–24.Google Scholar

Polasky, S., Segerson, K., 2009. Integrating ecology and economics in the study of ecosystem services: Some lessons learned. Annual Review of Resource Economics 1, 409–34.Google Scholar

Přibylová, L., 2018. Regime shifts caused by adaptive dynamics in prey-predator models and their relationship with intraspecific competition. Ecological Complexity 36, 48–56.Google Scholar

Proctor, W., Drechsler, M., 2006. Deliberative multicriteria evaluation. Environmental Planning C Government and Policy 24, 169–90.Google Scholar

Proops, J.L.R., 1989. Ecological economics: Rationale and problem areas. Ecologcial Economics 1, 59–76.Google Scholar

Proops, J., Safonov, P. (eds.), 2004. Modelling in Ecological Economics. Edward Elgar.Google Scholar

Quaas, M.F., Baumgärtner, S., Becker, C., Frank, K., Müllser, B., 2007. Uncertainty and sustainability in the management of rangelands. Ecological Economics 62, 251–66.Google Scholar

Quaas, M.F., van Soost, D., Baumgärtner, S., 2013. Complementarity, impatience, and the resilience of natural-resource-dependent economies. Journal of Environmental Economics and Management 66, 15–32.Google Scholar

Radchuk, V., Oppel, S., Groeneveld, J., Grimm, V., Schtickzelle, N., 2016. Simple or complex: Relative impact of data availability and model purpose on the choice of model types for population viability analyses. Ecological Modelling 323, 87–95.Google Scholar

Rademacher, C., Neuert, C., Grundmann, V., Wissel, C., Grimm, V., 2004. Reconstructing spatiotemporal dynamics of Central European natural beech forests: The rule-based forest model BEFORE. Forest Ecology and Management 194, 349–68.Google Scholar

Raffin, N., Seegmuller, T., 2017. The cost of pollution on longevity, welfare and economic stability. Environmental and Resource Economics 68, 683–704.Google Scholar

Railsback, S.F., Grimm, V., 2012. Agent-Based and Individual-Based Modeling: A Practical Introduction. Princeton University Press.Google Scholar

Railsback, S.F., Harvey, B.C., 2002. Analysis of habitat selection rules using an individual-based model. Ecology 83, 1817–30.Google Scholar

Rämö, J., Tahvonen, O., 2017. Optimizing the harvest timing in continuous cover forestry. Environmental and Resource Economics 67, 853–68.Google Scholar

Reeson, A., Capon, T., Whitten, S., 2018. Are auctions for environmental service provision likely to suffer with repetition? Paper presented at the World Conference of Environmental and Resource Economists (WCERE), June 2018, Gothenburg. fleximeets.com/wcere2018/?p=programme (last accessed 10 October 2019).Google Scholar

Reeson, A.F., Rodriguez, L.C., Whitten, S.M., et al., 2011. Adapting auctions for the provision of ecosystem services at the landscape scale. Ecological Economics 70, 1621–7.Google Scholar

Regan, H.M., Bohórquez, C.I., Keith, D.A., Regan, T.J., Anderson, K.E., 2017. Implications of different population model structures for management of threatened plants. Conservation Biology 31, 459–68.Google Scholar

Reznik, A., Feinerman, E., Finkelshtain, I., et al., 2017. Economic implications of agricultural reuse of treated wastewater in Israel: A statewide long-term perspective. Ecological Economics 135, 222–33.Google Scholar

Ring, I., Drechsler, M., van Teeffelen, A.J.A., Irawan, S., Venter, O., 2010. Biodiversity conservation and climate mitigation: What role can economic instruments play? Current Opinion in Environmental Sustainability 2, 50–8.Google Scholar

Rinnan, D.S., 2018. Population persistence in the face of climate change and competition: A battle on two fronts. Ecological Modelling 385, 78–88.Google Scholar

Rivers, N., Growes, S., 2013. The welfare impact of self-supplied water pricing in Canada: A computable general equilibrium assessment. Environmental and Resource Economics 55, 419–45.Google Scholar

Robert, A., 2009. The effects of spatially correlated perturbations and habitat configuration on metapopulation persistence. Oikos 118, 1590–600.Google Scholar

Robinson, K.F., Fuller, A.K., Schiavone, M.V., et al., 2017. Addressing wild turkey population declines using structured decision making. Journal of Wildlife Management 81, 393–405.Google Scholar

Rode, J., Wittmer, H., Emerton, L., Schröter-Schlaack, C., 2016. ‘Ecosystem service opportunities’: A practice-oriented framework for identifying economic instruments to enhance biodiversity and human livelihoods. Journal for Nature Conservation 33, 35–47.Google Scholar

Rodrigues, A.S.L., Akçakaya, H.R., Andelman, S.J., et al., 2004. Global gap analysis: Priority regions for expanding the gobal protected-area network. BioScience 54, 1092–100.Google Scholar

Rodrigues, A.S.L., Pilgrim, J.D., Lamoreux, J.F., Hoffmann, M., Brooks, T.M., 2006. The value of the IUCN Red List for conservation. Trends in Ecology & Evolution 21, 71–6.Google Scholar

Rodríguez, J.P., Rodríguez-Clark, K.M., Baillie, J.E.M., et al., 2010. Establishing IUCN Red List criteria for threatened ecoystems. Conservation Biology 25, 21–9.Google Scholar

Roman, S., Bulock, S., Brede, M., 2017. Coupled societies are more robust against collapse: A hypothetical look at Easter Island. Ecological Economics 132, 264–78.Google Scholar

Røpke, I., 2005. Trends in the development of ecological economics from the late 1980s to the early 2000s. Ecologcial Economics 55, 262–90.Google Scholar

Rosindell, J., Hubbell, S.P., Etienne, R.S., 2011. The Unified Neutral Theory of Biodiversity and Biogeography at age ten. Trends in Ecology and Evolution 26, 340–8.Google Scholar

Roth, A.E., Erev, I., 1995. Learning in extensive form games: Experimental data and simple dynamics models in the intermediate term. Games and Economic Behaviour 8, 164–212.Google Scholar

Rout, T.M., Baker, C.M., Huxtable, S., Wintle, B.A., 2017. Monitoring, imperfect detection, and risk optimization of a Tasmanian devil insurance population. Conservation Biology 32, 267–75.Google Scholar

Rubinstein, A., 1998. Modelling Bounded Rationality. MIT Press.Google Scholar

Rueda-Cediel, P., Anderson, K.E., Regan, T.J., Regan, H.M., 2018. Effects of uncertainty and variability on population declines and IUCN Red List classifications. Conservation Biology 32, 916–25.Google Scholar

Ryberg, W.A., Hill, M.T., Painter, C.W., Fitzgerald, L.A., 2014. Linking irreplaceable landforms in a self-organizing landscape to sensitivity of population vital rates for an ecological specialist. Conservation Biology 29, 888–98.Google Scholar

Rytteri, S., Kuussaari, M., Saastamoinen, M., Ovaskainen, O., 2017. Can we predict the expansion rate of a translocated butterfly population based on a priori estimated movement rates? Biological Conservation 215, 189–95.Google Scholar

Saltelli, A., Chan, K., Scott, E.M., 2009. Sensitivity Analysis. Wiley.Google Scholar

Sanga, G.J., Mungatana, E.D., 2016. Integrating ecology and economics in understanding responses in securing land-use externalities internalization in water catchments. Ecological Economics 121, 28–39.Google Scholar

dos Santos, F.A.S., Johst, K., Grimm, V., 2011. Neutral communities may lead to decreasing diversity disturbance relationships: Insights from a generic simulation model. Ecology Letters 14, 653–60.Google Scholar

Santos, R., Schröter-Schlaack, C., Antunes, P., Ring, I., Clemente, P., 2014. Reviewing the role of habitat banking and tradable development rights in the conservation policy mix. Environmental Conservation 42, 294–305.Google Scholar

Scheiter, S., Schulte, J., Pfeiffer, M., et al.., 2019. How does climate change influence the economic value of ecosystem services in savanna rangelands? Ecological Economics 157, 342–56.Google Scholar

Schelling, T.C., 1969. Models of segregation. American Economic Review 59, 488–93.Google Scholar

Schirpke, U., Marino, D., Marucci, A., Palmieri, M., 2018. Positive effects of payments for ecosystem services on biodiversity and socio-economic development: Examples from Natura 2000 sites in Italy. Ecosystem Services 34, 96–105.Google Scholar

Schlüter, M., Baeza, A., Dressler, G., et al., 2017. A framework for mapping and comparing behavioural theories in models of social-ecological systems. Ecological Economics 131, 21–35.Google Scholar

Schlüter, M., Pahl-Wostl., C., 2007. Mechanisms of reslience in common-pool resource management system: An agent-based model of water use in a river basin. Ecology and Society 12(2), 4.Google Scholar

Schomers, S., Matzdorf, B., 2013. Payments for ecosystem services: A review and comparison of developing and industrialized countries. Ecosystem Services 6, 16–30.Google Scholar

Schöttker, O., Johst, K., Drechsler, M., Wätzold, F., 2016. Land for biodiversity conservation: To buy or borrow? Ecological Economics 129, 94–103.Google Scholar

Schulze, J., Frank, K., Müller, B., 2016. Governmental response to climate risk: Model-based assessment of livestock supplementation in drylands. Land Use Policy 54, 47–57.Google Scholar

Schulze, J., Martin, R., Finger, A., et al., 2015. Design, implementation and test of a serious online game for exploring complex relationships of sustainable land management and human well-being. Environmental Modelling & Software 65, 58–66.Google Scholar

Settle, C., Crocker, T.D., Shogren, J.F., 2002. On the joint determination of biological and economic systems. Ecological Economics 42, 301–11.Google Scholar

Sharma, Y., Abbott, K.C., Dutta, P.S., Gupta, A.K., 2015. Stochasticity and bistability in insect outbreak dynamics. Theoretical Ecology 8, 163–74.Google Scholar

Sheng, J., Qiu, H., 2018. Governmentality within REDD+: Optimizing incentives and efforts to reduce emissions from deforestation and degradation. Land Use Policy 76, 611–22.Google Scholar

Sheng, J., Wu, Y., Zhang, M., Miao, Z., 2017. An evolutionary modeling approach for designing a contractual REDD+ payment scheme. Ecological Indicators 79, 276–85.Google Scholar

Shmueli, G., 2010. To explain or to predict. Statistical Science 25, 289–310.Google Scholar

Shoham, Y., Leyton-Brown, K., 2008. Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations. Cambridge University Press.Google Scholar

Simmons, R.E., Kolberg, H., Braby, R., Erni, B., 2015. Declines in migrant shorebird populations from a winter-quarter perspective. Conservation Biology 29, 877–87.Google Scholar

Simon, H.A., 1979. Rational decision making in business organizations. American Economic Review 69, 493–513.Google Scholar

Skonhoft, A., Vestergaard, N., Quaas, M., 2012. Optimal harvest in an age structured model with different fishing selectivity. Environmental and Resource Economics 51, 525–44.Google Scholar

Smith, R.B.W., Shogren, J.F., 2001. Protecting species on private lands. In Shogren, J., Tschirhart, J. (eds.), Protecting Endangered Species in the United States. Cambridge University Press, pp. 326–42.Google Scholar

Smith, R.B.W., Shogren, J.F., 2002. Voluntary incentive design for endangered species protection. Journal of Environmental Economics and Management 43, 169–87.Google Scholar

Soltani, A., Sankhayan, P.L., Hofstad, O., 2014. A dynamic bio-economic model for community management of goat and oak forests in Zagros, Iran. Ecological Economics 106, 174–85.Google Scholar

Spencer, R.-J., van Dyke, J.U., Thompson, M.B., 2017. Critically evaluating best management practices for preventing freshwater turtle extinctions. Conservation Biology 31, 1340–9.Google Scholar

Starfield, A.M., 1997. A pragmatic approach to modeling for wildlife management. Journal of Wildlife Management 61, 261–70.Google Scholar

Starfield, A.M., Smith, K.A., Bleloch, A.L., 1990. How to Model It: Problem Solving for the Computer Age. McGraw-Hill.Google Scholar

Stauffer, D., 2007. Social applications of two-dimensional Ising models. arXiv:0706.3983v1 [physics.soc-ph], 27 June 2007.Google Scholar

Stauffer, D., Aharony, A., 1994. Introduction to Percolation Theory. Taylor & Francis.Google Scholar

Stern, N.H., 2007. The Economics of Climate Change: The Stern Review. Cambridge University Press.Google Scholar

Stillman, R.A., Railsback, S.F., Giske, J., Berger, U., Grimm, V., 2015. Making predictions in a changing world: The benefits of individual-based ecology. BioScience 65, 140–50.Google Scholar

Stintzing, S., Zwerger, W., 1997. Ginzburg–Landau theory of superconductors with short coherence length. Physical Review B 56, 9004.Google Scholar

Stoeven, M.T., 2014. Enjoying catch and fishing effort: The effort effect in recreational fisheries. Environmental and Resource Economics 57, 393–404.Google Scholar

Strange, N., Thorsen, B. J., Bladt, J., 2006. Optimal reserve selection in a dynamic world. Biological Conservation 131, 33–41.Google Scholar

Sturm, A., Drechsler, M., Johst, K., Mewes, M., Wätzold, F., 2018. DSS-Ecopay – A decision support software for designing ecologically effective and cost-effective agri-environment schemes to conserve endangered grassland biodiversity. Agricultural Systems 161, 113–16.Google Scholar

Sukhdev, P., Wittmer, H., Miller, D., 2014. The Economics of Ecosystems and Biodiversity (TEEB): Challenges and responses. In Helm, D., Hepburn, C. (eds.), Nature in the Balance: The Economics of Biodiversity. Oxford University Press.Google Scholar

Surun, C., Drechsler, M., 2018. Effectiveness of tradable permits for the conservation of metacommunities with two competing species. Ecological Economics 147, 189–96.Google Scholar

Tadelis, S., 2013. Game Theory: An Introduction. Princeton University Press.Google Scholar

Tahvonen, O., Quaas, M.F., Schmidt, J.O., Voss, R., 2013. Optimal harvesting of an age-structured schooling fishery. Environmental and Resource Economics 54, 21–39.Google Scholar

Taubert, F., Fischer, R., Groeneveld, J., et al., 2018. Global patterns of tropical forest fragmentation. Nature 554, 519–22.Google Scholar

TEEB 2010a. The Economics of Ecosystems and Biodiversity: Mainstreaming the Economics of Nature: A Synthesis of the Approach, Conclusions and Recommendations of TEEB. www.teebweb.org/our-publications/teeb-study-reports/synthesis-report/#.Ujr2cX9mOG8 (last accessed 10 October 2019).Google Scholar

TEEB 2010b. The Economics of Ecosystems and Biodiversity: Ecological and Economic Foundations. Edited by Kumar, P.. Earthscan. www.teebweb.org/our-publications/teeb-study-reports/ecological-and-economic-foundations/#.Ujr1xH9mOG8 (last accessed 10 October 2019).Google Scholar

Teel, T.L., Anderson, C.B., Burgman, M.A., et al., 2017. Publishing social science research in Conservation Biology to move beyond biology. Conservation Biology 32, 6–8.Google Scholar

Tenan, S., Iemma, A., Bragalanti, N., et al., 2016. Evaluating mortality rates with a novel integrated framework for nonmonogamous species. Conservation Biology 30, 1307–19.Google Scholar

Theesfeld, I., MacKinnon, A., 2014. Giving birds a starting date: The curious social solution to a water resource issue in the U.S. West. Ecological Economics 97, 110–19.Google Scholar

Thierry, H., Sheeren, D., Marilleau, N., et al., 2015. From the Lotka–Volterra model to a spatialised population-driven individual-based model. Ecological Modelling 306, 287–93.Google Scholar

Thomas, B.A., Azevedo, I.L., 2013. Estimating direct and indirect rebound effects for U.S. households with input-output analysis, Part 1: Theoretical framework. Ecological Economics 86, 199–210.Google Scholar

Thompson, H., 2013. Resource rights and markets in a general equilibrium model of production. Environmental and Resource Economics 56, 131–9.Google Scholar

Thulke, H.-H., Grimm, V., Müller, M.S., et al., 1999. From pattern to practice: A scaling-down strategy for spatially explicit modelling illustrated by the spread and control of rabies. Ecological Modelling 117, 179–202.Google Scholar

Tietenberg, T.H., 2006. Emissions Trading: Principles and Practice. Resources for the Future, Washington, DC.Google Scholar

Tietenberg, T., Lewis, L., 2018. Environmental and Natural Resource Economics. Routledge, 11th ed.Google Scholar

Tilman, D., 1994. Competition and biodiversity in spatially structured habitats. Ecology 75, 2–16.Google Scholar

Tilman, D., Kareiva, P. (eds.), 1997. Spatial Ecology: The Role of Space in Population Dynamics and Interspecific Interactions. Princeton University Press.Google Scholar

Todd, C.R., Lintermans, M., 2015. Who do you move? A stochastic population model to guide translocation strategies for an endangered freshwater fish in south-eastern Australia. Ecological Modelling 311, 63–72.Google Scholar

Touza, J., Drechsler, M., Smart, J.C.R., Termansen, M., 2013. Emergence of cooperative behaviours in the management of mobile ecological resources. Environmental Modelling & Software 45, 52–63.Google Scholar

Tuljarpurkar, S., Caswell, H., 1997. Structured-Population Models in Marine, Terrestrial, and Freshwater Systems. Springer.Google Scholar

Turner, B.L., Wuellner, M., Nichols, T., et al.., 2016. Development and evaluation of a system dynamics model for investigating agriculturally driven land transformation in the North Central United States. Natural Resource Modeling 29, 179–228.Google Scholar

Uehara, T., 2013. Ecological threshold and ecological economic threshold: Implications from an ecological economic model with adaptation. Ecological Economics 93, 374–84.Google Scholar

Uehara, T., Nagase, Y., Wakeland, W., 2016. Integrating economics and system dynamics approaches for modelling an ecological-economic system. Systems Research and Behavioral Science 33, 515–31.Google Scholar

Ulbrich, K., Drechsler, M., Wätzold, F., Johst, K., Settele, J., 2008. A software tool for designing cost-effective compensation payments for conservation measures. Environmental Modelling & Software 23, 122–3.Google Scholar

van Kooten, G.C., Johnston, C.M.T., 2016. The economics of forest carbon offsets. Annual Review of Resource Economics 8, 227–46.Google Scholar

van Teeffelen, A., Opdam, P., Wätzold, F., et al., 2014. Ecological and economic conditions and associated institutional challenges for conservation banking in dynamic landscapes. Landscape and Urban Planning 130, 64–72.Google Scholar

van Winkle, C., Jager, H.I., Railsback, S.F., et al., 1998. Individual-based model of sympatric populations of brown and rainbow trout for instream flow assessment: Model description and calibration. Ecological Modelling 110, 175–207.Google Scholar

Varian, H.R., 2010. Intermediate Microeconomics: A Modern Approach. Norton & Company, 8th ed.Google Scholar

Vellend, M., 2016. The Theory of Ecological Communities. Princeton University Press.Google Scholar

Verhagen, W., van der Zanden, E.H., Strauch, M., van Teeffelen, A.J.A., Verburg, P.H., 2018. Optimizing the allocation of agri-environment measures to navigate the trade-offs between ecosystem services, biodiversity and agricultural production. Environmental Science & Policy 84, 186–96.Google Scholar

Verhoef, H.A., Morin, P.J., 2009. Community Ecology: Processes, Models, and Applications. Oxford University Press.Google Scholar

Vincent, T., 2005. Evolutionary Game Theory, Natural Selection, and Darwinian Dynamics. Cambridge University Press.Google Scholar

Visconti, P., Joppa, L., 2014. Building robust conservation plans. Conservation Biology 29, 503–12.Google Scholar

VNP 2018. Bayerisches Vertragsnaturschutzprogramm, Verpflichtungszeitraum 2018–2022: Maßnahmenübersicht. www.stmelf.bayern.de/mam/cms01/agrarpolitik/dateien/massnahmenuebersicht_vnp.pdf (last accessed 10 October 2019).Google Scholar