Ecopath, Ecosim, and Ecospace as tools for evaluating ecosystem impact of fisheries

By Daniel Pauly, Villy Christensen, Carl J Walters. 2000

1,122 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/aa0acfa788704cde25502879b3341896b386e21b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

In Global and Planetary Change

Citations in the corpus

Weak cross‐species relationships between body size and trophic level belie powerful size‐based trophic structuring in fish communities (2001, background): “Size-based analyses have shown that fishing leads to predictable changes in the size structure of fish communities (Pope et al. 1988; Boudreau & Dickie 1992; Duplisea & Kerr 1995; Rice & Gislason 1996), while ecosystem models based on trophic relationships suggest that fishing may reduce the trophic”
Modeling environmental effects on the size-structured energy flow through marine ecosystems. Part 1: The model (2007, background): “Hence, most models of marine ecosystems rely on rough species and functional groups partitioning and use fixed predation rates between groups (e.g., Polovina, 1984; Walters et al., 1997; Pauly et al., 2000 ).”
Trophodynamic indicators for an ecosystem approach to fisheries (2005, methodology): “…and Christensen, 1995; Christensen et al., 2000; Carr, 2002) Fishing in balance (FiB) e assesses whether fisheries are ecologically balanced/models Td-Bu (Pauly et al., 2000) Dynamic stability e persistenceZ time required for biomass change O10%; resistanceZ 1/relative B change; resilienceZ…”
Stock assessment in inland fisheries: a foundation for sustainable use and conservation (2016, methodology): “The most widely used are the Ecopath model and its companion models to predict stock status changes in time (Ecosim) and space (Ecospace) (Christensen and Pauly 1992; Pauly et al. 2000).”
Assessment of impacts of invasive fishes on the food web structure and ecosystem properties of a tropical reservoir in India (2009, background): “with a variety of ecological and theoretical approaches (Christensen and Pauly, 1992; Walters et al., 1997, 2000; Pauly et al., 2000; Christensen and Walters, 2004).”
Are multispecies models an improvement on single-species models for measuring fishing impacts on marine ecosystems? (2000, background): “Models of the joint capture of species that do not interact biologically have been developed by Murawski (1984) and Pikitch (1991). Technical interaction models to date have focused on equilibrium yield per recruit analyses.”
Trade-offs between conservation and socio-economic objectives in managing a tropical marine ecosystem (2008, methodology): “The analyses in this study were based on dynamic simulation models: Ecopath with Ecosim (Walters et al., 1997; Pauly et al., 2000; Christensen andWalters, 2004a; Christensen et al., 2004).”
Trophic level scales positively with body size in fishes (2011, methodology): “Estimates of trophic position in FishBase, using the TROPH routine (Pauly et al., 2000), have been found to correlate closely with estimates based on stable isotope ratios (Kline & Pauly, 1998).”
Ecological network analysis : network construction (2007, background): “In particular, the efforts by , (1992; Pauly et al., 2000) in developing Ecopath have gained wide usage in fisheries.”
Towards ecosystem-based management: identifying operational food-web indicators for marine ecosystems (2017, neutral): “Total mortality Z (Fishing mortalityþ natural mortality or production to biomass ratio), is commonly used in the ecosystem modelling community (Pauly et al., 2000; Christensen and Pauly, 2008).”
Ecopath with Ecosim: methods, capabilities and limitations (2004, methodology): “To facilitate this task and to make the process more transparent we have implemented a ‘pedigree’ (Funtowicz and Ravetz, 1990) routine that serves a dual purpose by describing data origin, and by assigning confidence intervals to data based on their origin (Pauly et al., 2000).”