The effect of anthropogenic and environmental factors in coupled human-natural systems: Evidence from Lake Zürich
Corresponding Author
Michele Baggio
Department of Economics, University of Connecticut, Storrs, Connecticut
Research affiliate, Joint Chair of Energy Policy and Economics (CEPE), ETH Zürich, Switzerland
Correspondence Michele Baggio, Department of Economics, University of Connecticut, 365 Fairfield Way, Storrs, CT 06269-1063.
Email: michele.baggio@uconn.edu
Search for more papers by this authorJean-Paul Chavas
Department of Agricultural & Applied Economics, University of Wisconsin, Madison, Wisconsin
Search for more papers by this authorSalvatore Di Falco
Institute of Economics and Econometrics, University of Geneva, Geneva, Switzerland
Search for more papers by this authorAndreas Hertig
Volkswirtschaftsdirektion des Kantons, Amt für Landwirtschaft und Natur, Fischereiinspektorat, Bern, Switzerland
Search for more papers by this authorFrancesco Pomati
Department of Aquatic Ecology, Eawag, Dübendorf, Switzerland
Search for more papers by this authorCorresponding Author
Michele Baggio
Department of Economics, University of Connecticut, Storrs, Connecticut
Research affiliate, Joint Chair of Energy Policy and Economics (CEPE), ETH Zürich, Switzerland
Correspondence Michele Baggio, Department of Economics, University of Connecticut, 365 Fairfield Way, Storrs, CT 06269-1063.
Email: michele.baggio@uconn.edu
Search for more papers by this authorJean-Paul Chavas
Department of Agricultural & Applied Economics, University of Wisconsin, Madison, Wisconsin
Search for more papers by this authorSalvatore Di Falco
Institute of Economics and Econometrics, University of Geneva, Geneva, Switzerland
Search for more papers by this authorAndreas Hertig
Volkswirtschaftsdirektion des Kantons, Amt für Landwirtschaft und Natur, Fischereiinspektorat, Bern, Switzerland
Search for more papers by this authorFrancesco Pomati
Department of Aquatic Ecology, Eawag, Dübendorf, Switzerland
Search for more papers by this author[Correction added on 1 November 2019, after first online publication: the affiliation of the first author is corrected]
Abstract
Exploiting a rich data set including both individual fishing activities and ecology, we study how eutrophication and climate warming influence plankton biodiversity in Lake Zürich and the consequent effects on fishers’ behavior and fishery yield. Our analysis indicates that changes in the fishery of Lake Zürich were driven by complex dynamic interactions between fishing efforts, environmental conditions, and lake ecosystem ecology. Results show that nutrient levels and climate warming have both direct and indirect dynamic and nonlinear effects on both fishers’ behavior and lake productivity. Ecological factors such as plankton abundance and diversity affect the dynamics of the fish population, which, in turn, influences fishing effort. The analysis highlights the importance and the interdependence of ecological-human linkages in aquatic ecosystems.
Recommendations for Resource Managers
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This model estimates and simulates the effects of temperature and nutrients on the ecology and the management of a commercial lake fishery.
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Natural and anthropogenic factors have both direct and indirect effects on fishing intensity and the dynamics of lake productivity.
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In the long term, increasing phosphorus has negative impacts on the plankton of the lake; higher nitrogen has a positive impact on zoo-abundance, but a negative impact on zoo-richness; higher temperatures have positive effects on phytoplankton.
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Considerable heterogeneity exists in both in lake ecology at different habitats (top vs. bottom of the lake) and behavioral response (pelagic nets vs. demersal nets) to environmental fluctuations.
REFERENCES
- Albanese, B., Angermeier, P. L., & Dorai-Raj, S. (2004). Ecological correlates of fish movement in a network of Virginia streams. Canadian Journal of Fisheries and Aquatic Sciences, 61(6), 857–869.
- An, L. (2012). Modeling human decisions in coupled human and natural systems: Review of agent-based models. Ecological Modelling, 229, 25–36.
- Anneville, O., Souissi, S., Gammeter, S., & Straile, D. (2004). Seasonal and inter-annual scales of variability in phytoplankton assemblages: Comparison of phytoplankton dynamics in three peri-alpine lakes over a period of 28 years. Freshwater Biology, 49(1), 98–115.
- Arlinghaus, R., Mehner, T., & Cowx, I. G. (2002). Reconciling traditional inland fisheries management and sustainability in industrialized countries, with emphasis on Europe. Fish and Fisheries, 3, 261–316.
- Barbier, M., & Loreau, M. (2019). Pyramids and cascades: A synthesis of food chain functioning and stability. Ecology Letters, 22(2), 405–419.
- Baum, C. F., Schaffer, M. E., & Stillman, S., 2007. ivreg2: Stata module for extended instrumental variables/2SLS, GMM and AC/HAC, LIML, and k-class regression. Boston College Department of Economics, Statistical Software Components S425401. Retrieved from http://ideas.repec.org/c/boc/bocode/s425401.html
- Beard, T. D., Jr, Arlinghaus, R., Cooke, S. J., McIntyre, P. B., De Silva, S., Bartley, D., & Cowx, I. G. (2011). Ecosystem approach to inland fisheries: Research needs and implementation strategies. Biology Letters, 7, 481–483.
- Bertsekas, D. P. (1976). Dynamic programming and stochastic control. New York, NY: Academic Press.
- Brooks, E. G. E., Holland, R. A., Darwall, W. R. T., & Eigenbrod, F. (2016). Global evidence of positive impacts of freshwater biodiversity on fishery yields. Global Ecology and Biogeography, 25(5), 553–562.
- Brown, J. H., Gillooly, J. F., Allen, A. P., Savage, V. M., & West, G. B. (2004). Toward a metabolic theory of ecology. Ecology, 85(7), 1771–1789.
- Cadier, M., Andersen, K. H., Visser, A. W., & Kiørboe, T. (2019). Competition–defense tradeoff increases the diversity of microbial plankton communities and dampens trophic cascades. Oikos, 128, 1027–1040.
- Cardinale, B. J., Duffy, J. E., Gonzalez, A., Hooper, D. U., Perrings, C., Venail, P., … Naeem, S. (2012). Biodiversity loss and its impact on humanity. Nature, 486, 59–67.
- Carpenter, S. R., Kitchell, J. F., & Hodgson, J. R. (1985). Cascading trophic Interactions and lake productivity. BioScience, 35(10), 634–639.
- Doyen, L., Béné, C., Bertignac, M., Blanchard, F., Cissé, A. A., Dichmont, C., … Little, L. R. (2017). Ecoviability for ecosystem-based fisheries management. Fish and Fisheries, 18(6), 1056–1072.
- Drake, J.M. (2003). Why does grassland productivity increase with species richness? Disentangling species richness and composition with tests for overyielding and superyielding in biodiversity experiments. Proceedings of the Royal Society of London. Series B: Biological Sciences, 270(1525), 1713–1719.
- Duffy, J. E., Lefcheck, J. S., Stuart-Smith, R. D., Navarrete, S. A., & Edgar, G. J. (2016). Biodiversity enhances reef fish biomass and resistance to climate change. Proceedings of the National Academy of Sciences of the United States of America, 113(22), 6230–6235.
- Ernst, B., Hoeger, S. J., O'Brien, E., & Dietrich, D. R. (2006). Oral toxicity of the microcystin-containing cyanobacterium Planktothrix rubescens in European whitefish (Coregonus lavaretus). Aquatic Toxicology, 79(1), 31–40.
- Garcia, S. M., & Cochrane, K. L. (2005). Ecosystem approach to fisheries: A review of implementation guidelines. ICES Journal of Marine Science, 62(3), 311–318.
- Gordon, D. V. (2015). The endogeneity problem in applied fisheries econometrics: A critical review. Environmental and Resource Economics, 61(1), 115–125.
- Hayashi, F. (2000). Econometrics. Princeton, NJ: Princeton University Press.
- Hillebrand, H., & Matthiessen, B. (2009). Biodiversity in a complex world: Consolidation and progress in functional biodiversity research. Ecology Letters, 12(12), 1405–1419.
- Hooper, D. U., & Vitousek, P. M. (1997). The effects of plant composition and diversity on ecosystem processes. Science, 277(5330), 1302–1305.
- Jeppesen, E., Jensen, J. P., Søndergaard, M., Lauridsen, T., Pedersen, L. J., & Jensen, L. (1997). Top-down control in freshwater lakes: the role of nutrient state, submerged macrophytes and water depth, In Shallow Lakes ( 95, pp. 151–164). Dordrecht: Springer.
10.1007/978-94-011-5648-6_17 Google Scholar
- Kennedy, P. (1997). A guide to econometrics ( 4th ed.). Cambridge: MIT press.
- Krinsky, I., & Robb, A. L. (1986). On approximating the statistical properties of elasticities. The Review of Economics and Statistics, 68, 715–719.
- Linløkken, A., & Haugen, T. O. (2006). Density and temperature dependence of gill net catch per unit effort for perch, Perca fluviatilis, and roach, Rutilus rutilus. Fisheries Management and Ecology, 13(4), 261–269.
- Liu, J., Dietz, T., Carpenter, S. R., Alberti, M., Folke, C., Moran, E., … Ostrom, E. (2007). Complexity of coupled human and natural systems. Science, 317(5844), 1513–1516.
- Livingstone, D. M. (2003). Impact of secular climate change on the thermal structure of a large temperate central European lake. Climatic Change, 57, 205–225.
- Massey, D. M., Newbold, S. C., & Gentner, B. (2006). Valuing water quality changes using a bioeconomic model of a coastal recreational fishery. Journal of Environmental Economics and Management, 52(1), 482–500.
- Matthews, B., & Pomati, F. (2012). Reversal in the relationship between species richness and turnover in a phytoplankton community. Ecology, 93, 2435–2447.
- Monchamp, M. E., Spaak, P., Domaizon, I., Dubois, N., Bouffard, D., & Pomati, F. (2018). Homogenization of lake cyanobacterial communities over a century of climate change and eutrophication. Nature Ecology & Evolution, 2(2), 317.
- Monchamp, M. E., Spaak, P., & Pomati, F. (2019). High dispersal levels and lake warming are emergent drivers of cyanobacterial community assembly in peri-Alpine lakes. Scientific Reports, 9(1), 7366.
- Norberg, J. (2004). Biodiversity and ecosystem functioning: A complex adaptive systems approach. Limnology and Oceanography, 49(4 part2), 1269–1277.
- Pomati, F., Matthews, B., Jokela, J., Schildknecht, A., & Ibelings, B. W. (2012). Effects of re-oligotrophication and climate warming on plankton richness and community stability in a deep mesotrophic lake. Oikos, 121(8), 1317–1327.
- Pomati, F., Tellenbach, C., Matthews, B., Venail, P., Ibelings, B. W., & Ptacnik, R. (2015). Challenges and prospects for interpreting long-term phytoplankton diversity changes in Lake Zurich (Switzerland). Freshwater Biology, 60(5), 1052–1059.
- Pomati, F., Matthews, B., Seehausen, O., & Ibelings, B. W. (2017). Eutrophication and climate warming alter spatial (depth) co-occurrence patterns of lake phytoplankton assemblages. Hydrobiologia, 787(1), 375–385.
- Posch, T., Köster, O., Salcher, M. M., & Pernthaler, J. (2012). Harmful filamentous cyanobacteria favoured by reduced water turnover with lake warming. Nature Climate Change, 2, 809–813.
- Schaffer, M.E., 2010. xtivreg2: Stata module to perform extended IV/2SLS, GMM and AC/HAC, LIML and k-class regression for panel data models. Retrieved from http://ideas.repec.org/c/boc/bocode/s456501.html
- Smith, M. D., Zhang, J., & Coleman, F. C. (2008). Econometric modeling of fisheries with complex life histories: Avoiding biological management failures. Journal of Environmental Economics and Management, 55(3), 265–280.
- Smith, M. D., & Wilen, J. E. (2003). Economic impacts of marine reserves: The importance of spatial behavior. Journal of Environmental Economics and Management, 46(2), 183–206.
- Sommer, U., Adrian, R., De Senerpont Domis, L., Elser, J. J., Gaedke, U., Ibelings, B., … Winder, M. (2012). Beyond the plankton ecology group (PEG) model: mechanisms driving plankton succession. Annual Review of Ecology, Evolution and Systematics, 43, 429–448.
- Spears, B. M., Futter, M. N., Jeppesen, E., Huser, B. J., Ives, S., Davidson, T. A., … Daunt, F. (2017). Ecological resilience in lakes and the conjunction fallacy. Nature Ecology & Evolution, 1(11), 1616–1624.
- Stewart, K. R., Lewison, R. L., Dunn, D. C., Bjorkland, R. H., Kelez, S., Halpin, P. N., & Crowder, L. B. (2010). Characterizing fishing effort and spatial extent of coastal fisheries. PLOS One, 5(12):e14451.
- Stock, J. H., & Watson, M. W. (2003). Introduction to econometrics (Vol. 104). Boston: Addison Wesley.
- Stomp, M., Huisman, J., Mittelbach, G. G., Litchman, E., & Klausmeier, C. A. (2011). Large-scale biodiversity patterns in freshwater phytoplankton. Ecology, 92, 2096–2107.
- Stoner, A. W. (2004). Effects of environmental variables on fish feeding ecology: Implications for the performance of baited fishing gear and stock assessment. Journal of Fish Biology, 65(6), 1445–1471.
- Tilman, D., Knops, J., Wedin, D., Reich, P., Ritchie, M., & Siemann, E. (1997). The influence of functional diversity and composition on ecosystem processes. Science, 277(5330), 1300–1302.
- Turner, B. L., Matson, P. A., McCarthy, J. J., Corell, R. W., Christensen, L., Eckley, N., … Martello, M. L. (2003). Illustrating the coupled human–environment system for vulnerability analysis: Three case studies. Proceedings of the National Academy of Sciences of the United States of America, 100(14), 8080–8085.
- Vogt, R. J., Romanuk, T. N., & Kolasa, J. (2006). Species richness–variability relationships in multi-trophic aquatic microcosms. Oikos, 113(1), 55–66.
- Vonlanthen, P., Bittner, D., Hudson, A. G., Young, K. A., Müller, R., Lundsgaard-Hansen, B., … Seehausen, O. (2012). Eutrophication causes speciation reversal in whitefish adaptive radiations. Nature, 482, 357–362.
- Wooldridge, J. M. (2015). Introductory econometrics: A modern approach, Scarborough, ON: Nelson Education.
- Yankova, Y., Neuenschwander, S., Köster, O., & Posch, T. (2017). Abrupt stop of deep water turnover with lake warming: Drastic consequences for algal primary producers. Scientific Reports, 7(1), 13770.
