The objective of this work is to explicit knowledge on the interactions between the chlorophyll-a and nine meroplankton larvae of epibenthonic fauna. The studied case is the Arraial do Cabo upwelling system, Southeastern of Brazil, which provides different environmental conditions. To assess this information a network approach based in probability estimative was used. Comparisons among the generated graphs are made in the light of different water masses, application of Shannon biodiversity index, and the closeness and betweenness centralities measurements. Our results show the main pattern among different water masses and how the core organisms belonging to the network skeleton are correlated to the main environmental variable. We conclude that the approach of complex networks is a promising tool for environmental diagnostic.
[1] Halpern, B.S., Selkoe, K.A., Micheli, F., Kappel, K., 2007. Evaluating
and ranking the vulnerability of global marine ecosystems to
anthropogenic threats. Conservation Biology 21, 1301-1315.
[2] Halpern, B.S., Walbridge, S., Selkoe, K.A., Kappel, C.V., Micheli, F.,
D'Agrosa, C., Bruno, J.F., Casey, K.S., Ebert, C., Fox, H.E., Fujita, R.,
Heinemann, D., Lenihan, H.S., Madin, E.M.P., Perry, M.T., Selig, E.R.,
Spalding, M., Steneck, R., Watson, R., 2008. A global map of human
impact on marine ecosystems. Science 319, 948- 952.
[3] Levin, S.A., Lubchenco J. 2008. Resilience, robustness, and marine
ecosystem based management. Bioscience 58, 1-11.
[4] Palumbi S,McLeod KL, Grunbaum D. 2008. Ecosystems in action:
Lessons from marine ecology about recovery, resistance, and
reversibility. Bioscience 58 (1): 33-42.
[5] (USCOP) US Commission on Ocean Policy. 2004. An Ocean Blueprint
for the 21st Century.Washington (DC): USCOP.
[6] Borja, A., D.M. Dauer, 2008. Assessing the environmental quality status
in estuarine and coastal systems: comparing methodologies and indices.
Ecological Indicators, 8(4): 331-337.
[7] Windhorst, W., Colijn, F., Kabuta, S., Remi Laane, R., Lenhart, H.J.
2005. Defining a good ecological status of coastal waters ÔÇö a case
study for the Elbe plume. Environmental
[8] Pereira, G.C., Coutinho, R., Ebecken, N.F.F. 2008. Data Mining for
environmental analysis and diagnostic: a case study of upwelling
ecosystem of Arraial do Cabo. Brazilian Journal of Oceanography
56(1):1-12.
[9] Norberg, J. 2004. Biodiversity and ecosystem functioning: A complex
adaptive systems approach. Limnol. Oceanogr., 49(4, part 2), 1269-
1277.
[10] Raffaelli, D., Van den Putten, W. H., Person, L., Wardle, D. A., Petchey,
O. L., Koricheva, J., Van den Heijden, M. G. A., 2002. Multi-trophic
processes and ecosystem function. In Biodiversity and Ecosystem
Functioning. Ed. By M. Loreau,
[11] Dunne, J.A., Williams, R.J., Martinez, N.D., 2002. Network structure
and biodiversity loss in food webs: robustness increases with
connectance. Ecol. Lett. 5, 558-567.
[12] Huxel, G.R., Mc Cann, K. 1998. Food Web Stability: The Influence of
Trophic Flows across Habitats. The American Naturalist 152 (3), 460-
469. Jordán, F., W-C. Liu and A.J. Davis. 2006.
[13] Albert R, Jeong H. Barabási AL, 2000, Error and attack tolerance of
complex network. Nature 406: 378-382.
[14] Strogatz SH, 2001. Exploring complex networks. Nature 420: 268-276.
[15] Kolasa, J., 2005. Complexity, system integration, and susceptibility to
change: biodiversity connection. Ecol. Complex. 2, 431-442. Levin SA,
[16] Libralato, S., V. Christensen and D. Pauly. 2006. A method for
identifying keystone species in food web models. Ecological Modeling
195:153-171.
[17] Gonzalez AMM, Dalsgaard B, Olesen JM, 2010. Centrality measures
and the importance of generalist species in pollination network.
Ecological Complexity 7, 36-43.
[18] Castelao, R. M., Barth, J. A., 2005. Upwelling around Cabo Frio,
Brazil: The importance of wind stress curl, Geophys. Res. Lett., 33,
L03602.
[19] Pereira, G. C., Evsukoff, A., and Ebecken, N. F. F. 2009. Fuzzy
modelling of chlorophyll production in a Brazilian upwelling system,
Ecol. Model., 220, 1506- 1512.
[20] Pereira, G.C., Ebecken, N.F.F. 2009. Knowledge discovering for coastal
waters classification. Expert Systems with Applications 36, 8604-8609.
[21] Newman, M.E.J. 2003. A measure of betweenness centrality based on
random walks. Arxiv preprint cond-mat/0309045. 1-15 pp.
[22] Shivaram, N. 2005. The Betweenness Centrality of Biological Networks.
Thesis of the Faculty of Virginia Polytechnic Institute and State
University. 74p.
[1] Halpern, B.S., Selkoe, K.A., Micheli, F., Kappel, K., 2007. Evaluating
and ranking the vulnerability of global marine ecosystems to
anthropogenic threats. Conservation Biology 21, 1301-1315.
[2] Halpern, B.S., Walbridge, S., Selkoe, K.A., Kappel, C.V., Micheli, F.,
D'Agrosa, C., Bruno, J.F., Casey, K.S., Ebert, C., Fox, H.E., Fujita, R.,
Heinemann, D., Lenihan, H.S., Madin, E.M.P., Perry, M.T., Selig, E.R.,
Spalding, M., Steneck, R., Watson, R., 2008. A global map of human
impact on marine ecosystems. Science 319, 948- 952.
[3] Levin, S.A., Lubchenco J. 2008. Resilience, robustness, and marine
ecosystem based management. Bioscience 58, 1-11.
[4] Palumbi S,McLeod KL, Grunbaum D. 2008. Ecosystems in action:
Lessons from marine ecology about recovery, resistance, and
reversibility. Bioscience 58 (1): 33-42.
[5] (USCOP) US Commission on Ocean Policy. 2004. An Ocean Blueprint
for the 21st Century.Washington (DC): USCOP.
[6] Borja, A., D.M. Dauer, 2008. Assessing the environmental quality status
in estuarine and coastal systems: comparing methodologies and indices.
Ecological Indicators, 8(4): 331-337.
[7] Windhorst, W., Colijn, F., Kabuta, S., Remi Laane, R., Lenhart, H.J.
2005. Defining a good ecological status of coastal waters ÔÇö a case
study for the Elbe plume. Environmental
[8] Pereira, G.C., Coutinho, R., Ebecken, N.F.F. 2008. Data Mining for
environmental analysis and diagnostic: a case study of upwelling
ecosystem of Arraial do Cabo. Brazilian Journal of Oceanography
56(1):1-12.
[9] Norberg, J. 2004. Biodiversity and ecosystem functioning: A complex
adaptive systems approach. Limnol. Oceanogr., 49(4, part 2), 1269-
1277.
[10] Raffaelli, D., Van den Putten, W. H., Person, L., Wardle, D. A., Petchey,
O. L., Koricheva, J., Van den Heijden, M. G. A., 2002. Multi-trophic
processes and ecosystem function. In Biodiversity and Ecosystem
Functioning. Ed. By M. Loreau,
[11] Dunne, J.A., Williams, R.J., Martinez, N.D., 2002. Network structure
and biodiversity loss in food webs: robustness increases with
connectance. Ecol. Lett. 5, 558-567.
[12] Huxel, G.R., Mc Cann, K. 1998. Food Web Stability: The Influence of
Trophic Flows across Habitats. The American Naturalist 152 (3), 460-
469. Jordán, F., W-C. Liu and A.J. Davis. 2006.
[13] Albert R, Jeong H. Barabási AL, 2000, Error and attack tolerance of
complex network. Nature 406: 378-382.
[14] Strogatz SH, 2001. Exploring complex networks. Nature 420: 268-276.
[15] Kolasa, J., 2005. Complexity, system integration, and susceptibility to
change: biodiversity connection. Ecol. Complex. 2, 431-442. Levin SA,
[16] Libralato, S., V. Christensen and D. Pauly. 2006. A method for
identifying keystone species in food web models. Ecological Modeling
195:153-171.
[17] Gonzalez AMM, Dalsgaard B, Olesen JM, 2010. Centrality measures
and the importance of generalist species in pollination network.
Ecological Complexity 7, 36-43.
[18] Castelao, R. M., Barth, J. A., 2005. Upwelling around Cabo Frio,
Brazil: The importance of wind stress curl, Geophys. Res. Lett., 33,
L03602.
[19] Pereira, G. C., Evsukoff, A., and Ebecken, N. F. F. 2009. Fuzzy
modelling of chlorophyll production in a Brazilian upwelling system,
Ecol. Model., 220, 1506- 1512.
[20] Pereira, G.C., Ebecken, N.F.F. 2009. Knowledge discovering for coastal
waters classification. Expert Systems with Applications 36, 8604-8609.
[21] Newman, M.E.J. 2003. A measure of betweenness centrality based on
random walks. Arxiv preprint cond-mat/0309045. 1-15 pp.
[22] Shivaram, N. 2005. The Betweenness Centrality of Biological Networks.
Thesis of the Faculty of Virginia Polytechnic Institute and State
University. 74p.
@article{"International Journal of Earth, Energy and Environmental Sciences:63236", author = "Nelson F.F. Ebecken and Gilberto C. Pereira", title = "Network Analysis in a Natural Perturbed Ecosystem", abstract = "The objective of this work is to explicit knowledge on the interactions between the chlorophyll-a and nine meroplankton larvae of epibenthonic fauna. The studied case is the Arraial do Cabo upwelling system, Southeastern of Brazil, which provides different environmental conditions. To assess this information a network approach based in probability estimative was used. Comparisons among the generated graphs are made in the light of different water masses, application of Shannon biodiversity index, and the closeness and betweenness centralities measurements. Our results show the main pattern among different water masses and how the core organisms belonging to the network skeleton are correlated to the main environmental variable. We conclude that the approach of complex networks is a promising tool for environmental diagnostic.
", keywords = "Coastal upwelling, Ecological networks, Plankton -
interactions, Environmental analysis.", volume = "6", number = "7", pages = "465-4", }
