Modeling habitat use by Bryde’s whale Balaenoptera edeni off southeastern Brazil

Tardin, Rodrigo H.; Chun, Yongwan; Simão, Sheila M.; Alves, Maria Alice S.

doi:10.3354/meps12228

Cited by 17 publications

(15 citation statements)

References 60 publications

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“…Spatial autocorrelation (SAC) on the residuals for the entire study period and for each season (Moran's test entire period = 0.55, p < 0.001; Moran's test Dry = 0.52, p < 0.001; Moran's test Rainy = 0.42, p < 0.001) was tested using a Moran eigenvector spatial filtering method to account for SAC using the ‘ME’ function in the spdep package of the R environment (Bivand et al, ). Once the spatial dependence was controlled for, it was included in a standard generalized linear model, known as the spatial eigenvector (SEV)‐GLM (for details see Tardin et al, and Supporting Information 1).…”

Section: Methodsmentioning

confidence: 99%

“…SEVs are a powerful tool to correct for SAC, and when incorporated in a GLM they may help to accentuate the relevance of significant variables, decrease bias and the tendency to underestimate model parameters, and provide better overall predictions (Corkeron et al, ; Dormann et al, ; Tardin et al, ).…”

Section: Methodsmentioning

confidence: 99%

“…A central question in ecology is the understanding of the factors that drive species distributions (Redfern et al, ). With the ongoing advances in computational capacity, Geographic Information Systems (GIS), and remote sensing, species distribution models have become increasingly useful for the identification of potential and critical habitats, the understanding of the abiotic and biotic factors that influence species distribution patterns, and, more recently, how human activities alter these patterns (Cañadas, Sagarminaga, De Stephanis, Urquiola, & Hammond, ; Tardin, Chun, Simão, & Alves, ; Wiens, Stralberg, Jongsomjit, Howell, & Snyder, ). Coastal development and the associated increase in human activities in the marine environment, such as aquaculture, nautical tourism, and fisheries, is having an increasingly negative impact on the populations and communities of marine organisms, and the ecosystem services they provide (Dayton, Thrush, Agardy, & Hofman, ; Di Tullio, Fruet, & Secchi, ; Hoyt, ; Kappel, ).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Modelling habitat use by the Guiana dolphin, Sotalia guianensis, in south‐eastern Brazil: Effects of environmental and anthropogenic variables, and the adequacy of current management measures

Tardin

Maciel

Espécie

et al. 2020

Aquatic Conservation

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1. Species distribution modelling has been used to identify critical habitats for the delimitation of Marine Protected Areas. Although Marine Protected Areas may often overlap with the distribution of key marine species, illegal human activities often continue within these areas, causing negative impacts on the local biodiversity. 2. A generalized linear model with spatial eigenvector mapping was used to investigate, for the first time, the influence of environmental variables and anthropic activities on the number of Guiana dolphin, Sotalia guianensis sightings/grid, and to determine whether a Marine Reserve, in south-eastern Brazil, is adequate for the protection of the local population. Data were collected between May 2007 and October 2013 onboard a 7.5-m vessel with an inboard engine.3. The models for the different periods (annual, dry, and rainy seasons) all indicated that depth, the distance to seafood farms and fishing grounds, and mean sea surface temperatures influenced the distribution of the dolphins within the study area. The annual and seasonal models predicted that the dolphins prefer a continuous area between Cedro and Pico Islands, a large area that lies outside the limits of the Marine Reserve. 4. Although the habitat of Ilha Grande bay is still much less degraded than that inhabited by other nearby Guiana dolphin populations, the results of the present study indicate that anthropic activities in this area influence habitat use by the dolphins. Less than 30% of the area used by the dolphins is protected by the Tamoios Ecological Station (ESEC Tamoios). 5. Sotalia guianensis is classified as 'Vulnerable' in Brazil, although the marine reserve (ESEC Tamoios) does not protect the core area used by the local dolphin population. The results of the present study provide specific locations for the creation of a new multiple-use MPA, as suggested by the Brazilian National Action Plan for the Conservation of Small Cetaceans, or the inclusion of a special management programme for the area between Cedro and Pico islands to better protect the dolphins in the ESEC Tamoios buffer zone. The continuation of surveys to better

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Modelling habitat use by the Guiana dolphin, Sotalia guianensis, in south‐eastern Brazil: Effects of environmental and anthropogenic variables, and the adequacy of current management measures

Tardin

Maciel

Espécie

et al. 2020

Aquatic Conservation

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“…These have revealed vertical movements including shallow , mid-water (Soldevilla et al, 2017), and deepdive patterns (Alves et al, 2010), reflective of the environment they live in and highlighting the whales' ability to exploit a variety of surface and deeper water prey (Kato and Perrin, 2018). A range of oceanographic, physical and biological variables influence Bryde's whale movements but there is no clear pattern across populations (Corkeron et al, 2011;Weir et al, 2012;Soldevilla et al, 2017;Tardin et al, 2017). A multi-disciplinary, comparative approach to determine oceanography, prey movements and availability, triggers that drive whale movements and predictions under change scenarios would enable us to better understand whether Bryde's are the ultimate flexible baleen whale.…”

Section: Movementmentioning

confidence: 99%

Future Directions in Research on Bryde's Whales

et al. 2018

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One of the lesser known species of baleen whales, the Bryde's whale, also known as Eden's whale (Balaenoptera edeni edeni and B. edeni brydei), although hunted as part of a North Pacific Japanese research programme 1 , was not heavily exploited by commercial whaling and remains a data deficient species. Their taxonomic status is not fully resolved and they are often mistaken for other species leading to uncertainty about their true distribution, behavior and conservation status. Some populations are critically endangered, whilst others are small but have high genetic diversity suggesting wider connectivity. The species' unpredictable coastal and offshore global distribution throughout warm-temperate waters has led to populations with unknown genetic variation, and facing different threats. Few areas are well-studied, but each study reveals often contrasting movement patterns, foraging strategies, and vocal repertoires; there are considerable knowledge gaps for Bryde's whales. There are few Bryde's populations with abundance estimates but they typically number in the mid-to high-hundreds of individuals, with other populations small, <100 mature individuals, and exposed to high levels of anthropogenic impacts. Future research should focus on understanding the diversity within and between populations. Here, we suggest an integrative, comparative approach toward future work on Bryde's whales, including acoustic monitoring, trophic interactions, telemetry tools, understanding their novel behaviors, and resolving their species status. This will inform conservation management of this unusual species of whale vulnerable to anthropogenic impacts.

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“…The B. e. edeni is the small, coastal form of the B. edeni while B. e. brydei refers to the large, offshore form [6]- [9]. Several studies have been recently carried out on the existence of Bryde's whales from different geographic location, such as the Gulf of Mexico [9]- [11], Gulf of California [12], [13], Hauraki Gulf, New Zealand [3], [14], [15], Eastern Tropical Pacific [6], [16], and Southern Brazil [17]- [20]. While some of these literatures have described the population, spatial distribution, genetic and phylogenetic features, attributed nomenclature, a few have described the potential vocal repertoire of this marine species.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Template-Based Detection Algorithms for Inshore Bryde’s Whale Short Pulse Calls

Ogundile

Versfeld

2020

IEEE Access

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Marine mammals use sound for communication and echolocation within their ecosystems. The detection of these sounds is an important aspect of signal processing, such that we can estimate the spatial position and direction of arrival of these mammals, and have an understanding of their ecology. Passive acoustic monitoring (PAM) is widely used to understand marine mammal movement and vocal repertoire. In PAM, datasets are accumulated over days, months or years. Thus, it is impracticable to manually analyse the datasets because it is very large. This motivated the development of automated sound detection techniques for marine mammals, which most often varies depending on the vocal duration, frequency range and call type. In this paper, continuous recordings of Bryde's whale (Balaenoptera edeni edeni) short pulse calls (< 3.1s long) were collected on a weekly basis from December 2018 to April 2019 on sighting of the individual in a single site in the endmost SouthWest of South Africa. The sound, previously not documented off South Africa, was observed on visual confirmation of the presence of inshore Brydes's whale. In addition, the paper develops and analyses two automated template-based detection algorithms for this short pulse call, employing dynamic time warping (DTW) and linear predictive coding (LPC) techniques. These proposed template-based detectors are novel, as they have not being previously used in Bryde's whale sound detection in the literature. When applied to the continuous recordings of the short pulse calls, the DTW-based and LPC-based detection algorithms obtained a sensitivity of 96.04% and 97.14% respectively for high signal-tonoise ratio (about 10dB above the ambient sound). Otherwise, for low SNR, the DTW-based and LPC-based detection algorithms obtained a sensitivity of 94.98% and 96.00% respectively. These detection algorithms exhibit low computational time complexity and can be modified to analyse the movement of obscure but vocal marine species instead of manual identification.

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Modeling habitat use by Bryde’s whale Balaenoptera edeni off southeastern Brazil

Cited by 17 publications

References 60 publications

Modelling habitat use by the Guiana dolphin, Sotalia guianensis, in south‐eastern Brazil: Effects of environmental and anthropogenic variables, and the adequacy of current management measures

Modelling habitat use by the Guiana dolphin, Sotalia guianensis, in south‐eastern Brazil: Effects of environmental and anthropogenic variables, and the adequacy of current management measures

Future Directions in Research on Bryde's Whales

Analysis of Template-Based Detection Algorithms for Inshore Bryde’s Whale Short Pulse Calls

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