Integration of subsystems models as a tool toward describing feeding interactions and fisheries impacts in a large marine ecosystem, the Gulf of Mexico

Vidal, Laura; Pauly, Daniel

doi:10.1016/j.ocecoaman.2004.12.009

Cited by 28 publications

(11 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This ecosystem spans tropical and subtropical climates and is enveloped by the economic exclusive zones (EEZ) of the United States, Mexico, and Cuba. The EEZ of the United States alone supports 25 million recreational fishing trips [21] and a commercial fisheries harvest in excess of one million tonnes per year [22]. Gulf shrimp remain one of the most important fisheries in the region with combined landings value of 368 million dollars [23].…”

Section: Methodsmentioning

confidence: 99%

Generalized Additive Models Used to Predict Species Abundance in the Gulf of Mexico: An Ecosystem Modeling Tool

2013

View full text Add to dashboard Cite

Spatially explicit ecosystem models of all types require an initial allocation of biomass, often in areas where fisheries independent abundance estimates do not exist. A generalized additive modelling (GAM) approach is used to describe the abundance of 40 species groups (i.e. functional groups) across the Gulf of Mexico (GoM) using a large fisheries independent data set (SEAMAP) and climate scale oceanographic conditions. Predictor variables included in the model are chlorophyll a, sediment type, dissolved oxygen, temperature, and depth. Despite the presence of a large number of zeros in the data, a single GAM using a negative binomial distribution was suitable to make predictions of abundance for multiple functional groups. We present an example case study using pink shrimp (Farfantepenaeus duroarum) and compare the results to known distributions. The model successfully predicts the known areas of high abundance in the GoM, including those areas where no data was inputted into the model fitting. Overall, the model reliably captures areas of high and low abundance for the large majority of functional groups observed in SEAMAP. The result of this method allows for the objective setting of spatial distributions for numerous functional groups across a modeling domain, even where abundance data may not exist.

show abstract

Section: Methodsmentioning

confidence: 99%

Generalized Additive Models Used to Predict Species Abundance in the Gulf of Mexico: An Ecosystem Modeling Tool

2013

View full text Add to dashboard Cite

show abstract

“…The lack of spatial and methodological confounds allows for these simple CPUE comparisons between surveys to demonstrate the relative depth preferences for scalloped hammerhead, bull, and sandbar sharks. Vidal and Pauly (2004) described ecosystem feeding interactions across the Gulf of Mexico by integrating models across subsystems, noting that these subsystems span distinct depths (notably 0-20 m for coastal systems and 20-200 m for continental shelf systems). While the southern Gulf of Mexico is rife with examples of subsystem models describing fisheries impacts, the identification of functional groups to populate these subsystem models in the northern Gulf of Mexico requires knowledge of species' distributions.…”

Section: All Data: 1995-2008mentioning

confidence: 99%

Distributions of Sharks across a Continental Shelf in the Northern Gulf of Mexico

et al. 2010

View full text Add to dashboard Cite

Declines in shark populations have sparked researchers and fishery managers to investigate more prudent approaches to the conservation of these fish. As managers strive to improve data collection for stock assessment, fisheries‐independent surveys have expanded to include data‐deficient areas such as coastal regions. To that end, a catch series from a nearshore survey off Alabama was combined with data from a concurrent offshore survey with identical methodology to examine the depth use of sharks across the continental shelf (2–366 m). The combined data set contained 22 species of sharks collected from 1995 to 2008: 21 species in the offshore data set (1995–2008) and 12 species in the nearshore data set (2006–2008). Depth was a significant factor determining species' distributions, primarily for Atlantic sharpnose Rhizoprionodon terraenovae, blacknose Carcharhinus acronotus, and blacktip C. limbatus sharks. Blacknose sharks had the highest catch per unit effort (CPUE) in the middepth stratum (10–30 m), blacktip sharks had consistently higher CPUE in the shallow depth stratum (<10 m), and Atlantic sharpnose sharks showed high abundance throughout both the shallow and middepth strata. Length frequency and sex ratio analyses suggest that Atlantic sharpnose and blacknose sharks are using waters greater than 30 m deep for parturition, whereas adult blacktip sharks are probably using shallow waters for parturition. Our abundance patterns illustrate a continuum of depth use across the inner continental shelf. Surveys that do not encompass the entirety of this ecosystem fail to accurately characterize the distributions of these important predators.

show abstract

“…The prominent advantage of this approach lies in its suitability to the application of a broad field of theories that are useful for ecosystem studies, which include thermodynamic concepts, information theory, trophic level description and network analysis [ 13]. It has been used to analyze different aspects of the resulting food web network [14][15][16]. Moreover, mass-balanced models enable comparisons between different ecosystems and between different perio ds of the same ecosystem [17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

A trophic model of the Pearl River Delta coastal ecosystem

Duan

Liu

et al. 2009

Ocean & Coastal Management

View full text Add to dashboard Cite

Integration of subsystems models as a tool toward describing feeding interactions and fisheries impacts in a large marine ecosystem, the Gulf of Mexico

Cited by 28 publications

References 19 publications

Generalized Additive Models Used to Predict Species Abundance in the Gulf of Mexico: An Ecosystem Modeling Tool

Generalized Additive Models Used to Predict Species Abundance in the Gulf of Mexico: An Ecosystem Modeling Tool

Distributions of Sharks across a Continental Shelf in the Northern Gulf of Mexico

A trophic model of the Pearl River Delta coastal ecosystem

Contact Info

Product

Resources

About