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Record Search Query: ServiceParameters>MODELS>DYNAMIC VEGETATION/ECOSYSTEM MODELS

A Windows-Compatible Tool to Analyze Ecological Flow Networks
Entry ID: NOAA_EcoNetwrk
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Summary
Abstract: Network analysis is a phenomenological approach that holistically quantifies the structure and function of food webs by evaluating biomasses and energy flows. The efficiency with which energy and material is transferred, assimilated, and dissipated conveys significant information about the structure and function of food webs (Ulanowicz 2004; Ulanowicz and Platt 1985; Baird and Ulanowicz 1989 and 1993; Baird et al. 1991; Ulanowicz and Wulff 1991). Network analysis has been used to compare ecosystems of different size, geographical location, hydrological characteristics, and trophic status (Baird et al. 1991; Ulanowicz and Wulff 1991; Baird and Ulanowicz 1993; Monaco and Ulanowicz 1997). Most recently, arguments have been advanced for the use of network analysis to quantify the health and integrity of ecosystems (Ulanowicz 2000) and to evaluate the magnitude of stress imposed on an ecosystem (Ulanowicz 1995; Mageau et al. 1998).
There are fundamentally four types of analyses in network analysis: (1) input/output analysis, (2) the determination of trophic status and the identification of an equivalent linear food chain, (3) elaboration and analysis of biogeochemical cycling and the supporting flows, and (4) calculation of ecosystem indices (or properties) derived from information theory that describe the state of the food web.

[Summary provided by NOAA.]
Related URL
Link: GET SERVICE > GET SOFTWARE PACKAGE
Link: GET SERVICE > GET SOFTWARE PACKAGE
Description: Download A Windows-Compatible Tool to Analyze Ecological Flow Networks (Windows Application).

Link: VIEW RELATED INFORMATION > USER'S GUIDE
Description: The user guide for A Windows-Compatible Tool to Analyze Ecological Flow Networks.
Service Citation
Originators: NOAA Great Lakes Environmental Research Laboratory
Title: A Windows-Compatible Tool to Analyze Ecological Flow Networks
Release_Date: 2007-02-07
Provider: NOAA Great Lakes Environmental Research Laboratory
Edition: 4.2
URL: http://www.glerl.noaa.gov/EcoNetwrk/
Service Keywords
MODELS >PHENOMENOLOGICAL MODELS   [Definition]
MODELS >DYNAMIC VEGETATION/ECOSYSTEM MODELS   [Definition]
Science Keywords
BIOSPHERE >TERRESTRIAL ECOSYSTEMS   [Definition]
BIOSPHERE >VEGETATION >BIOMASS   [Definition]
BIOSPHERE >ECOLOGICAL DYNAMICS >ECOSYSTEM FUNCTIONS >FOOD-WEB DYNAMICS   [Definition]
BIOSPHERE >ECOLOGICAL DYNAMICS >ECOSYSTEM FUNCTIONS >NUTRIENT CYCLING   [Definition]
BIOSPHERE >ECOLOGICAL DYNAMICS >ECOSYSTEM FUNCTIONS >TROPHIC DYNAMICS   [Definition]
ISO Topic Category
BIOTA
Keywords
Phenomenological Approach
Food Web
Ecological Flows
Food Networks
Service Provider
Great Lakes Environmental Research Laboratory, OAR, NOAA, U.S. Department of Commerce

Service Provider Personnel
Name: NOAA GREAT LAKES ENVIRONMENTAL RESEARCH LABORATORY
Phone: 734-741-2235
Fax: 734-741-2055
Email: www.glerl at noaa.gov
Contact Address:
4840 S. State Rd
 City: Ann Arbor
Province or State: MI
Postal Code: 48108-9719
Country: USA
Personnel
DORAN M. MASON
Role: TECHNICAL CONTACT
Phone: 734-741-2148
Fax: 734-741-2055
Email: mason at glerl.noaa.gov
Contact Address:
National Oceanic Atmospheric Administration
Great Lakes Environmental Research Laboratory
2205 Commonwealth Blvd.
City: Ann Arbor
Province or State: MI
Postal Code: 48105
Country: USA

TYLER B. STEVENS
Role: SERF AUTHOR
Phone: (301) 614-6898
Fax: 301-614-5268
Email: Tyler.B.Stevens at nasa.gov
Contact Address:
NASA Goddard Space Flight Center
Global Change Master Directory
City: Greenbelt
Province or State: MD
Postal Code: 20771
Country: USA
Publications/References
Baird, D., J.M. Glade, and R.E. Ulanowicz. 1991. The comparative ecology of six marine ecosystems. Philos. Trans. R. Soc. Lond. 333:15-29.

Baird, D., and R.E. Ulanowicz. 1989. The seasonal dynamics of the Chesapeake Bay ecosystem. Ecol. Monographs 59:329-364.

Baird, D., and R.E. Ulanowicz. 1993. Comparative study on the trophic structure, cycling and ecosystem properties of four tidal estuaries. Mar. Ecol. Prog. Ser. 99:221-237.

Lindeman, R.L. 1942. The trophic-dynamic aspect of ecology. Ecology 23:399-418.

Mageau, M.T., R. Constanza, and R.E. Ulanowicz. 1998. Quantifying the trends expected in developing ecosystems. Ecol. Modelling 112:1-22.

Monaco and R.E. Ulanowicz. 1997. Comparative ecosystem trophic structure of three U.S. mid-Atlantic estuaries. Mar. Ecol. Prog. Ser. 161:239-254.

Ulanowicz, R.E. 1986. Growth and development: ecosystems phenomenology. Springer-Verlag, New York.

Ulanowicz, R.E. 1995. Trophic flow networks as indicators of ecosystem stress. Pp. 358-368. In: G.A. Polis and K.O. Winemiller (eds), Food webs: integration of patterns and dynamics. Chapman and Hall, NY.

Ulanowicz, R.E. 2000. Toward the measurement of ecological integrity. In: Pimentel, D., L. Westra, and R.F. Noss (eds.) Ecological Integrity. Island Press, Washington:102-113

Ulanowicz, R.E. 2004. Quantitative methods for ecological network analysis
Computational Biology and Chemistry. 28/5-6:321-339.

Ulanowicz, R.E., and Platt. 1985. Ecosystem theory for biological oceanography. Can Bull. Fish. Aquatic Sci. 213:1-260.

Ulanowicz, R.E., and Wulff. 1991. Comparing ecosystem structures: the Chesapeake Bay and the Baltic Sea. In: J. Cole, G. Lovett, and S. Findlay (eds.) Comparative analysis of ecosystems, pattern, mechanism, and theories. Springer-Verlag, New York.
Creation and Review Dates
SERF Creation Date: 2009-03-31
SERF Last Revision Date: 2009-04-01
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