Environ centrality reveals the tendency of indirect effects to homogenize the functional importance of species in ecosystems

Journal of Theoretical Biology

Volumn 294, Issue , 2012, Pages 74-86

  Fann, Sarah L ^a   Borrett, Stuart R ^a  

^a UNIVERSITY OF NORTH CAROLINA WILMINGTON   (United States)

Author keywords

Ecological network analysis; Food web; Foundational species; Functional diversity; Network environ analysis

Indexed keywords

ECOLOGICAL IMPACT; ECOSYSTEM MANAGEMENT; ECOSYSTEM MODELING; FOOD WEB; NETWORK ANALYSIS; NUMERICAL METHOD; RESOURCE ALLOCATION;

ANALYTIC METHOD; ARTICLE; CENTRALIZATION; DETRITUS; ECOLOGICAL PROCEDURES; ECOSYSTEM; ENERGY CONSERVATION; ENVIRON CENTRALITY; ENVIRONMENTAL FACTOR; ENVIRONMENTAL MANAGEMENT; MATHEMATICAL COMPUTING; NONHUMAN; NUTRIENT CYCLE; PRIORITY JOURNAL; RESOURCE ALLOCATION; SPECIES DISTRIBUTION; SPECIES DIVERSITY; SPECIES DOMINANCE;

ANIMALS; AQUATIC ORGANISMS; ECOSYSTEM; FOOD CHAIN; MODELS, BIOLOGICAL; SEAWATER; SPECIES SPECIFICITY;

FUNGI;

EID: 81155148613     PISSN: 00225193     EISSN: 10958541     Source Type: Journal    
DOI: 10.1016/j.jtbi.2011.10.030     Document Type: Article

References (81)

1. Allesina S., Bodini A., Bondavalli C. Ecological subsystems via graph theory: the role of strongly connected components. Oikos 2005, 110:164-176.
2. Allesina S., Bondavalli C. Steady state of ecosystem flow networks: a comparison between balancing procedures. Ecol. Modelling 2003, 165:221-229.
3. Allesina S., Pascual M. Googling food webs: can an eigenvector measure species' importance for coextinctions?. PLoS Comput. Biol. 2009, 5:1175-1177.
4. Almunia J., Basterretxea G., Aistegui J., Ulanowicz R.E. Benthic-pelagic switching in a coastal subtropical lagoon. Estuarine Coastal Shelf Sci. 1999, 49:221-232.
5. Baird D., Asmus H., Asmus R. Energy flow of a boreal intertidal ecosystem, the Sylt-Rømø Bight. Mar. Ecol. Prog. Ser. 2004, 279:45-61.
6. Baird D., Christian R.R., Peterson C.H., Johnson G.A. Consequences of hypoxia on estuarine ecosystem function: energy diversion from consumers to microbes. Ecol. Appl. 2004, 14:805-822.
7. Baird D., Luczkovich J., Christian R.R. Assessment of spatial and temporal variability in ecosystem attributes of the St Marks National Wildlife Refuge, Apalachee Bay, Florida. Estuarine Coastal Shelf Sci. 1998, 47:329-349.
8. Baird D., McGlade J.M., Ulanowicz R.E. The comparative ecology of six marine ecosystems. Philos. Trans. R. Soc. London Ser. B-Biol. Sci. 1991, 333:15-29.
9. Baird D., Milne H. Energy flow in the Ythan Estuary, Aberdeenshire, Scotland. Estuarine Coastal Shelf Sci. 1981, 13:455-472.
10. Baird D., Ulanowicz R.E. The seasonal dynamics of the Chesapeake Bay ecosystem. Ecol. Monogr. 1989, 59:329-364.
11. Bascompte J., Jordano P. Plant-animal mutualistic networks: the architecture of biodiversity. Annu. Rev. Ecol. Syst. 2007, 38:567-593.
12. Bauer B., Jordán F., Podani J. Node centrality indices in food webs: rank orders versus distributions. Ecol. Complexity 2010, 7:471-477.
13. Belgrano A., Scharler U.M., Dunne J., Ulanowicz R.E. Aquatic Food Webs: An Ecosystem Approach 2005, Oxford University Press, New York, NY.
14. Berger K.M., Gese E.M., Berger J. Indirect effects and traditional trophic cascades: a test involving wolves, coyotes, and pronghorn. Ecology 2008, 89:818-828.
15. Bersier L.F., Bnasek-Richter C., Cattin M.F. Quantitative descriptors of food-web matrices. Ecology 2002, 83:2394-2407.
16. Bonacich P. Factoring and weighting approaches to clique identification. J. Math. Sociol. 1972, 2:113-120.
17. Bondavalli C., Ulanowicz R.E. Unexpected effects of predators upon their prey: the case of the American alligator. Ecosystems 1999, 2:49-63.
18. Borgatti S.P. Centrality and network flow. Soc. Networks 2005, 27:55-71.
19. Borgatti S.P., Everett M.G. A graph-theoretic perspective on centrality. Soc. Networks 2006, 28:466-484.
20. Borrett S.R., Fath B.D., Patten B.C. Functional integration of ecological networks through pathway proliferation. J. Theor. Biol. 2007, 245:98-111.
21. Borrett S.R., Salas A.K. Evidence for resource homogenization in 50 trophic ecosystem networks. Ecol. Modelling 2010, 221:1710-1716.
22. Borrett S.R., Whipple S.J., Patten B.C. Rapid development of indirect effects in ecological networks. Oikos 2010, 119:1136-1148.
23. Borrett S.R., Whipple S.J., Patten B.C., Christian R.R. Indirect effects and distributed control in ecosystems 3 temporal variability of indirect effects in a seven-compartment model of nitrogen flow in the Neuse River Estuary (USA)-time series analysis. Ecol. Modelling 2006, 194:178-188.
24. Brylinsky M. Steady-state sensitivity analysis of energy flow in a marine ecosystem. Systems Analysis and Simulation in Ecology 1972, vol. 2:81-101. Academic Press.
25. Carpenter S.R., Kitchell J.F., Hodgson J.R. Cascading trophic interactions and lake productivity: fish predation and herbivory can regulate lake ecosystems. Bioscience 1985, 35:634-639.
26. Christensen V., Walters C.J. Ecopath with Ecosim: methods capabilities and limitations. Ecol. Modelling 2004, 172:109-139.
27. Dame J.K., Christian R.R. Uncertainty and the use of network analysis for ecosystem-based fishery management. Fisheries 2006, 31:331-341.
28. Dame R.F., Patten B.C. Analysis of energy flows in an intertidal oyster reef. Mar. Ecol. Prog. Ser. 1981, 5:115-124.
29. Dayton P.K. Toward an understanding of community resilience and the potential effects of enrichments to the benthos at McMurdo Sound, Antarctica. Proceedings of the Colloquium on Conservation Problems in Antarctica 1972, Allen Press, Lawrence, KS. E. Parker (Ed.).
30. Dunne J.A., Williams R.J., Martinez N.D. Food-web structure and network theory: the role of connectance and size. Proc. Natl. Acad. Sci. USA 2002, 99:12917.
31. Ellison A., Bank M., Clinton B., Colburn E., Elliott K., Ford C., Foster D., Kloeppel B., Knoepp J., Lovett G., et al. Loss of foundation species: consequences for the structure and dynamics of forested ecosystems. Front. Ecol. Environ. 2005, 3(9):479-486.
32. Estrada E., Bodin O. Using network centrality measures to manage landscape connectivity. Ecol. Appl. 2008, 18(7):1810-1825.
33. Fath B.D. Network analysis applied to large-scale cyber-ecosystems. Ecol. Modelling 2004, 171:329-337.
34. © function for network environ analysis. Environ. Modelling Software 2006, 21:375-405.
35. Fath B.D., Patten B.C. Quantifying resource homogenization using network flow analysis. Ecol. Modelling 1999, 107:193-205.
36. Fath B.D., Patten B.C. Review of the foundations of network environ analysis. Ecosystems 1999, 2:167-179.
37. Finn J.T. Flow analysis of models of the Hubbard Brook ecosystem. Ecology 1980, 61:562-571.
38. Fraterrigo J.M., Rusak J.A. Disturbance-driven changes in the variability of ecological patterns and processes. Ecol. Lett. 2008, 11:756-770.
39. Freeman L.C. Centrality in networks. I. Conceptual clarification. Soc. Networks 1979, 1:215-239.
40. Heymans J.J., Baird D. A carbon flow model and network analysis of the northern Benguela upwelling system, Namibia. Ecol. Modelling 2000, 126:9-32.
41. Higashi M., Patten B.C. Dominance of indirect causality in ecosystems. Am. Nat. 1989, 133:288-302.
42. Jones C.G., Lawton J.H., Shachak M. Organisms as ecosystem engineers. Oikos 1994, 373-386.
43. Jordán F., Liu W.-C., van Veen F.J.F. Quantifying the importance of species and their interactions in a host-parasitoid community. Community Ecol. 2003, 4:79-88.
44. Jordán F., Benedek Z., Podani J. Quantifying positional importance in food webs: a comparison of centrality indices. Ecol. Modelling 2007, 205:270-275.
45. Jørgensen S.E., Fath B.D., Bastianoni S., Marques J.C., Müller F., Nielsen S., Patten B.C., Tiezzi E., Ulanowicz R.E. A New Ecology: Systems Perspective 2007, Elsevier, Amsterdam.
46. Keith A., Bailey J., Whitham T. A genetic basis to community repeatability and stability. Ecology 2010, 91(11):3398-3406.
47. Lawton J.H. What do species do in ecosystems?. Oikos 1994, 71:367-374.
48. Link J., Overholtz W., O'Reilly J., Green J., Dow D., Palka D., Legault C., Vitaliano J., Guida V., Fogarty M., Brodziak J., Methratta L., Stockhausen W., Col L., Griswold C. The northeast US continental shelf energy modeling and analysis exercise (EMAX): ecological network model development and basic ecosystem metrics. J. Mar. Syst. 2008, 74:453-474.
49. Luczkovich J.J., Borgatti S.P., Johnson J.C., Everett M.G. Defining and measuring trophic role similarity in food webs using regular equivalence. J. Theor. Biol. 2003, 220:303-321.
50. Miehls A.L.J., Mason D.M., Frank K.A., Krause A.E., Peacor S.D., Taylor W.W. Invasive species impacts on ecosystem structure and function: a comparison of Oneida Lake, New York, USA, before and after zebra mussel invasion. Ecol. Modelling 2009, 220(22):3194-3209.
51. Miehls A.L.J., Mason D.M., Frank K.A., Krause A.E., Peacor S.D., Taylor W.W. Invasive species impacts on ecosystem structure and function: a comparison of the Bay of Quinte, Canada, and Oneida Lake, USA, before and after zebra mussel invasion. Ecol. Modelling 2009, 220:3182-3193.
52. Monaco M.E., Ulanowicz R.E. Comparative ecosystem trophic structure of three US mid-Atlantic estuaries. Mar. Ecol. Prog. Ser. 1997, 161:239-254.
53. Montoya J., Woodward G., Emmerson M., Solé R. Press perturbations and indirect effects in real food webs. Ecology 2009, 90:2426-2433.
54. Mooney K.A., Halitschke R., Kessler A., Agrawal A.A. Evolutionary trade-offs in plants mediate the strength of trophic cascades. Science 2010, 327.
55. Newman M.E.J. Finding community structure in networks using the eigenvectors of matricies. Phys. Rev. E 2006, 74:036104.
56. Odum H.T. Trophic structure and productivity of Silver Springs, Florida. Ecol. Monogr. 1957, 27:55-112.
57. Patten B. Further developments toward a theory of the quantitative importance of indirect effects in ecosystems. Verh. Ges. Okol. 1984, 13:271-284.
58. Patten B.C. Systems approach to the concept of environment. Ohio J. Sci. 1978, 78:206-222.
59. Poulin R., Paterson R.A., Townsend C.R., Tompkins D.M., Kelly D.W. Biological invasions and the dynamics of endemic diseases in freshwater ecosystems. Freshwater Biol. 2010, 56:676-688.
60. Power M.E., Tilman D., Estes J.A., Menge B.A., Bond W.J., Mills L.S., Daily G., Castilla J.C., Lubchenco J., Paine R.T. Challenges in the quest for keystones. Bioscience 1996, 46(8):609-620.
61. Richey J.E., Wissmar R.C., Devol A.H., Likens G.E., Eaton J.S., Wetzel R.G., Odum W.E., Johnson N.M., Loucks O.L., Prentki R.T., Rich P.H. Carbon flow in four lake ecosystems: a structural approach. Science 1978, 202:1183-1186.
62. Ruhnau B. Eigenvector-centrality-node-centrality?. Soc. Networks 2000, 22(4):357-365.
63. Rybarczyk H., Elkaim B., Ochs L., Loquet N. Analysis of the trophic network of a macrotidal ecosystem: the Bay of Somme (eastern channel). Estuarine Coastal Shelf Sci. 2003, 58:405-421.
64. Salas A.K., Borrett S.R. Evidence for dominance of indirect effects in 50 trophic ecosystem networks. Ecol. Modelling 2011, 222:1192-1204.
65. Sandberg J., Elmgren R., Wulff F. Carbon flows in Baltic Sea food webs-a re-evaluation using a mass balance approach. J. Mar. Syst. 2000, 25:249-260.
66. Schramski J.R., Gattie D.K., Patten B.C., Borrett S.R., Fath B.D., Thomas C.R., Whipple S.J. Indirect effects and distributed control in ecosystems: distributed control in the environ networks of a seven-compartment model of nitrogen flow in the Neuse River Estuary, USA-steady-state analysis. Ecol. Modelling 2006, 194:189-201.
67. © 2.0. Environ. Modelling Software 2010, 26:419-428.
68. Tilly L.J. The structure and dynamics of Cone Spring. Ecol. Monogr. 1968, 38:169-197.
69. Ulanowicz R.E. Growth and Development: Ecosystems Phenomenology 1986, Springer-Verlag, New York.
70. Ulanowicz, R.E., Bondavalli, C., Egnotovich, M.S., 1997. Network Analysis of Trophic Dynamics in South Florida Ecosystem, FY 96: The Cypress Wetland Ecosystem. Annual Report to the United States Geological Service Biological Resources Division Ref. No. [UMCES] CBL 97-075. Chesapeake Biological Laboratory, University of Maryland.
71. Ulanowicz, R.E., Bondavalli, C., Egnotovich, M.S., 1998. Network Analysis of Trophic Dynamics in South Florida Ecosystem, FY 97: The Florida Bay Ecosystem. Annual Report to the United States Geological Service Biological Resources Division Ref. No. [UMCES] CBL 98-123. Chesapeake Biological Laboratory, University of Maryland.
72. Ulanowicz, R.E., Bondavalli, C., Heymans, J.J., Egnotovich, M.S., 1999. Network Analysis of Trophic Dynamics in South Florida Ecosystem, FY 98: The Mangrove Ecosystem. Annual Report to the United States Geological Service Biological Resources Division Ref. No.[UMCES] CBL 99-0073. Technical Report Series No. TS-191-99. Chesapeake Biological Laboratory, University of Maryland.
73. Ulanowicz, R.E., Bondavalli, C., Heymans, J.J., Egnotovich, M.S., 2000. Network Analysis of Trophic Dynamics in South Florida Ecosystem, FY 99: The Graminoid Ecosystem. Annual Report to the United States Geological Service Biological Resources Division Ref. No. [UMCES] CBL 00-0176. Chesapeake Biological Laboratory, University of Maryland.
74. Ulanowicz R.E., Puccia C.J. Mixed trophic impacts in ecosystems. Coenoses 1990, 5:7-16.
75. Valente T.W., Coronges K., Lakon C., Costenbader E. How correlated are network centrality measures?. Connections 2008, 22(1):16-26.
76. Wasserman S., Faust K. Social Network Analysis: Methods and Applications 1994, Cambridge University Press, Cambridge, New York.
77. Whitham T., Bailey J., Schweitzer J., Shuster S., Bangert R., LeRoy C., Lonsdorf E., Allan G., DiFazio S., Potts B., et al. A framework for community and ecosystem genetics: from genes to ecosystems. Nat. Rev. Genet. 2006, 7(7):510-523.
78. Whittaker R.H. Dominance and diversity in land plant communities: numerical relations of species express the importance of competition in community function and evolution. Science 1965, 147(3655):250-260.
79. Wilkinson D.M. Fundamental Processes in Ecology: An Earth Systems Approach 2006, Oxford University Press, Oxford.
80. Wootton J.T. The nature and consequences of indirect effects in ecological communities. Annu. Rev. Ecol. Syst. 1994, 25:443-466.
81. Zhang Y., Yang Z., Fath B. Ecological network analysis of an urban water metabolic system: model development, and a case study for Beijing. Sci. Total Environ. 2010, 408:4702-4711.