Modeling marine pelagic fish species spatiotemporal distributions utilizing a maximum entropy approach

Wang, Lifei; Kerr, Lisa A.; Record, Nicholas R.; Bridger, E.; Tupper, Benjamin; Mills, Katherine E.; Armstrong, E. M.; Pershing, Andrew J.

doi:10.1111/fog.12279

Cited by 48 publications

(17 citation statements)

References 65 publications

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“…For any effective fishery management regulation, a good knowledge of the habitat of the species is essential to minimize the interaction of the fisheries with the most vulnerable species [32]. Fishery-dependent data can provide a long time-series, wide spatial coverage all year-round when long-term monitoring data over board geographical ranges are limited [103]. Yet little is known about the biology and distribution of mobulid ray species, especially because they are difficult to study in the wide oceanic habitat, even if they are aggregated in specific regions [104].…”

Section: Discussionmentioning

confidence: 99%

Environmental characteristics associated with the presence of the Spinetail devil ray (Mobula mobular) in the eastern tropical Pacific

et al. 2019

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In the eastern Pacific Ocean, the tropical tuna purse-seine fishery incidentally captures high numbers of five mobulid bycatch species; all of which are classified as mortalities by the Inter-American Tropical Tuna Commission due to uncertainties in post-release mortality rates. To date, the factors (operational or environmental) leading to the capture of these species by the fishery have not been well studied. Here, we developed Generalized Additive Models for fisheries observer data to analyze the relationships between the presence/absence of Mobula mobular bycatch and oceanographic conditions, the spatial and temporal variability in fishing location, and the set type (associated with dolphins, free-swimming tuna schools or floating objects). Our results suggest that chlorophyll concentration and sea surface height are the most important variables to describe the presence of M . mobular in conjunction with geographic location (latitude and longitude) and set type. Presence of the species was predicted in waters with chlorophyll concentrations between 0.5–1 mg·m -3 and with sea surface height values close to 0; which indicates direct relationships with productive upwelling systems. Seasonally, M . mobular was observed more frequently during December-January and August-September. We also found the highest probability of presence observed in School sets, followed by Dolphin sets. Three areas were observed as important hotspots: the area close to the coastal upwelling of northern Peru, the area west to Islands Colon Archipelago (Galapagos) and the area close to the Costa Rica Dome. This information is crucial to identify the mobulids habitat and hotspots that could be managed and protected under dynamic spatial management measures to reduce the mortality of mobulid rays in the eastern Pacific purse-seine fishery and, hence, ensure the sustainability of the populations of these iconic species.

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Section: Discussionmentioning

confidence: 99%

Environmental characteristics associated with the presence of the Spinetail devil ray (Mobula mobular) in the eastern tropical Pacific

et al. 2019

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“…While time-lagged predictor variables are useful in some marine species distribution models (e.g. Olden & Neff 2001, Wang et al 2018, it is likely that abiotic conditions in shallow subtropical estuaries like Galveston Bay change too rapidly and frequently for this method to apply. For each model, 500 unpruned classification trees were built, each using a random bootstrapped selection of data points with replacement.…”

Section: Discussionmentioning

confidence: 99%

Seasonal patterns of habitat suitability and spatiotemporal overlap within an assemblage of estuarine predators and prey

Livernois

Fujiwara

Fisher

et al. 2021

Mar. Ecol. Prog. Ser.

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Subtropical estuaries often experience seasonal climatic shifts, which influence environmental conditions such as water temperature and salinity. The distribution of estuarine organisms depends on the availability of suitable environmental conditions, the extent of which may differ across seasons. Furthermore, ecological interactions among organisms, such as predation and competition, often occur when multiple species overlap spatiotemporally and can influence their distributions and abundances. Determining the habitat associations and overlap patterns among predator and prey species across seasons can thus enhance our understanding of ecosystem function. This study used a long-term monitoring data set to examine the habitat suitability and overlap patterns between 4 predator and 4 prey species in a northwestern Gulf of Mexico estuary. Seasonal (fall and spring) habitat suitability models and maps were created, which allowed for delineation of spatiotemporal overlap between predators and prey. Environmental drivers of habitat suitability differed among species, but temperature and salinity were frequently the most important variables. Seasonal differences in habitat suitability were observed for all species, but these differences were more notable for prey than for predators. Seasonality in habitat suitability was likely driven primarily by seasonal changes in environmental conditions and movements related to reproductive activities. Spatiotemporal overlap between predators and prey was observed primarily in whichever season each prey species was more abundant and in regions where highly suitable habitat was most ubiquitous for each predator. These results suggest that overlap between these predators and prey is highly seasonal, implying seasonality in the diets of predators and predation pressure on prey.

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“…Most of them require systematic abundance data produced by formal surveys. However, when such data is sparse, such as in the case of N. nasus from our study region, Maxent will be an excellent option that can model presence-only data (Phillips et al, 2006;Phillips et al, 2009;Wang et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

Spatial distribution of Nematalosa nasus (Bloch, 1795) of the Northern Indian Ocean in a changing climate

Swathy¹,

Anakha²,

Sreenath³

et al. 2020

J. Mar. Biol. Ass. India

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Globally, ocean climate is changing at unprecedented rates. Shifts of species distribution towards the northern latitudes are evident in many seas. The Northern Indian Ocean is warming at an alarming rate as compared to the other oceans. The increased rate of warming will cause substantial responses in the distribution of the pelagic fish species. Many fishes of the family Clupeidae form the mainstay of the marine fisheries of the countries bordering the Northern Indian Ocean. Nematalosa nasus is one of the important pelagic fish found in the region. This study tries to understand the distributional shifts of this species from the region in two future climate scenarios (RCP 6.0 & 8.5). The results indicate a higher influence of the current vector and mean temperature on the distribution of this species. A northward shift in the distribution range is observed in both the future scenarios as compared to the predicted current distribution.

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Modeling marine pelagic fish species spatiotemporal distributions utilizing a maximum entropy approach

Cited by 48 publications

References 65 publications

Environmental characteristics associated with the presence of the Spinetail devil ray (Mobula mobular) in the eastern tropical Pacific

Environmental characteristics associated with the presence of the Spinetail devil ray (Mobula mobular) in the eastern tropical Pacific

Seasonal patterns of habitat suitability and spatiotemporal overlap within an assemblage of estuarine predators and prey

Spatial distribution of Nematalosa nasus (Bloch, 1795) of the Northern Indian Ocean in a changing climate

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