Quantitative methods for ecological network analysi
By Robert E. Ulanowicz. Comput. Biol. Chem., 2004
563 citations recorded by the source corpus.
Subfields: Environmental Engineering, Global and Planetary Change, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/7a4d7917d7e1535fdeaccdb455e4bde25935d488
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Environmental Engineering
- Stefan Gößling-Reisemann
- N. Munier-Jolain
- John Foster
- James Moody
- Matthias Dehmer
- J. Saramaki
- Lavanya Sivakumar
- Achim Edelmann
In Global and Planetary Change
- Stefan Gößling-Reisemann
- N. Munier-Jolain
- John Foster
- James Moody
- E. Gorokhova
- G. Johansen
- Matthias Dehmer
- Marie-Joëlle Rochet
In Molecular Biology
- Lavanya Sivakumar
- Matthias Dehmer
- Stefan Gößling-Reisemann
- N. Munier-Jolain
- John Foster
- James Moody
- J. Saramaki
- Achim Edelmann
Citations in the corpus
- Measuring resilience in energy systems: insights from a range of disciplines (2016, methodology): “Ulanowicz suggested network analysis as a modelling technique, in conjunction with the construct of system ascendancy (the size and organisation structure of the network), to provide a top-down understanding of the functioning of a complex ecosystem [28].”
- A history of graph entropy measures (2011, background): “3, information theory has been applied in modern biologically-related disciplines such as systems biology, computational biology and ecology [95,90].”
- Facing up to the paradigm of ecological intensification in agronomy: Revisiting methods, concepts and knowledge (2011, methodology): “Indicators, such as average mutual information (AMI) and 735 ascendency (A), were proposed by Ulanowicz (1997, 2004) for characterisation of the 736 development capacity (in terms of increased organisation) of ecological systems, and have 737 recently been used in comparative analyses of…”
- Integrating ecological, economic and social aspects to generate useful management information under the EU Directives' ‘ecosystem approach’ (2012, unknown): “If DC is scaled by TST it yields the Flow Diversity Index (Ulanowicz, 2004).”
- Towards ecosystem-based management: identifying operational food-web indicators for marine ecosystems (2017, background): “, 2008), flow diagrams (energy budgets; e.g. Polovina, 1984; Ulanowicz, 2004), representations aggregated by size or trophic level, and complex dynamic models (Walters et al.”
- Ecological network analysis : network construction (2007, unknown): “…analyze environmental interactions (see e.g., Hannon, 1973, 1985a,b, 1986, 1991, 2001; Hannon et al., 1986, 1991; Hannon and Joiris, 1989; Finn, 1976; Patten, 1978, 1981, 1982, 1985; Higashi and Patten, 1989; Fath and Patten, 1999; Ulanowicz, 1980, 1983, 1986, 1997, 2004; Ulanowicz and Kemp, 1979).”
- Modelling climate change impacts on marine fish populations: process-based integration of ocean warming, acidification and other environmental drivers (2016, methodology): “Available software packages include 402 Econetwrk (Ulanowicz, 2004), which focuses on network analysis, Ecotroph (Gascuel and 403 Pauly, 2009), which analyses biomass flow through trophic levels, and the multifunctional 404 and widely utilised Ecopath with Ecosim package (EwE; Christensen and Walter”
- Temporal Networks (2011, background): “Ulanowicz define a measure ‘‘ascendency’’ to quantify how well a system processes its environmental input [73,74].”
- The rise of Network Ecology: Maps of the topic diversity and scientific collaboration (2013, methodology): “One school is based on the environment-centered work of Bernard C. Patten (Fath and Patten, 1999; Patten et al., 1976; Schramski et al., 2011) and the other school is based on the information-centric approach of Robert E. Ulanowicz (Ulanowicz, 1997, 2004).”
- Uniquely Discriminating Molecular Structures Using Novel Eigenvalue-Based Descriptors (2012, background): “1 Introduction Structural descriptors for investigating molecular structures have been extensively explored in mathematical, structural and computational chemistry, and related disciplines; see [3–5, 7, 55].”
- Marine biodiversity and ecosystem function relationships: The potential for practical monitoring applications (2015, unknown): “…tools such as Ecopath andEcosimmodelling (Colletal., 2009) and trophicnetwork analysis (Saint-B (cid:1) eat et al., 2015) are widely accepted approaches for tackling various ecological questions and have both been applied to BEF research (e.g. Arias-Gonzalez et al., 1997; Ulanowicz, 2004).”