Structure and abundance of bottlenose dolphins (<i>Tursiops truncatus</i>) in coastal Setúbal Bay, Portugal

Martinho, Francisco; Pereira, Andreia; Brito, Cristina; Gaspar, Raquel; Carvalho, Inês

doi:10.1080/17451000.2014.894244

Cited by 14 publications

(7 citation statements)

References 32 publications

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“…This is consistent with the results by Morteo et al (2014Morteo et al ( , 2017, who found a sort of balance in the number of dolphins that use the area on a daily basis. In this regard, Martinho et al (2014) also found stable estimates in the abundance of bottlenose dolphins off Setubal Bay, Portugal, which they linked to the productivity and quality of their habitat, such as it seems to be the case here. As annual apparent survival was 0.88, it means that about 12% of the population either dies or emigrates permanently, which is high for a population that counts on about a hundred individuals.…”

Section: Abundancesupporting

confidence: 69%

Seasonal population parameters reveal sex‐related dynamics of common bottlenose dolphins in open waters of the southwestern Gulf of Mexico

Bolaños‐Jiménez

Morteo

Fruet

et al. 2021

Marine Mammal Science

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In coastal populations of the common bottlenose dolphin, resident females are usually more abundant and have more restricted home ranges than males. Here, we studied sex‐specific population dynamics of bottlenose dolphins off the Alvarado Lagoon System, southwestern Gulf of Mexico. We used standard photo‐identification and capture‐mark‐recapture methods to determine population parameters under the superpopulation approach. Seasonal survival fluctuated around 0.96 (range: 0.80–1.00) and was equal for the sexes; recruitment of putative females (PF) and males (PM) was low, asynchronous, and reached 0.14 (range: 0.04–0.10) and 0.09 (range: 0.09–0.09), respectively, indicating high residency. PF abundance ranged from 60, 95% CI [48, 74] in the northern winds' season of 2008 to a low of 38, 95% CI [31, 47] in the dry season of 2010. PM abundance ranged from a high of 14, 95% CI [12, 16] in the northern winds' season of 2008 to a low of 9, 95% CI [7, 11] in the dry season of 2010. A regression analysis showed significant autocorrelation, and a pattern in the residuals of abundance, indicating no trends as well as temporal fluctuations that suggest a possible carrying capacity effect. Accordingly, high site fidelity, restricted ranging patterns, and low sporadic recruitment from the superpopulation are likely driving population parameters for this population.

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Section: Abundancesupporting

confidence: 69%

Seasonal population parameters reveal sex‐related dynamics of common bottlenose dolphins in open waters of the southwestern Gulf of Mexico

Bolaños‐Jiménez

Morteo

Fruet

et al. 2021

Marine Mammal Science

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“…Further fine-scale structuring has been found among coastal populations in several locations (Baird et al, 2009;Caballero et al, 2012;Fernández et al, 2011;Gaspari et al, 2013Gaspari et al, , 2015Louis, Fontaine et al, 2014;Louis, Viricel et al, 2014;Martien, Baird, Hedrick, & Webster, 2011;Martinho, Pereira, Brito, Gaspar, & Carvalho, 2014;Mirimin et al, 2011;Natoli, Birkun, Aguilar, Lopez, & Hoelzel, 2005;Parsons, Noble, Reid, & Thompson, 2002;Parsons et al, 2006;Rosel, Hansen, & Hohn, 2009). The driving force(s) behind fine-scale population structuring among coastal populations of bottlenose dolphins are not fully resolved, but have F I G U R E 1 GPS locations of bottlenose dolphin samples collected and used throughout this study and approximate locations of Special Areas of Conservation (SACs) around the British Isles (areas circled).…”

Section: Introductionmentioning

confidence: 96%

“…Genetic differentiation is often correlated with ecological and/or morphological differences (Hersh & Duffield, ; Hoelzel et al., ; Louis, Viricel et al., ; Natoli, Peddemors, & Hoelzel, ). Further fine‐scale structuring has been found among coastal populations in several locations (Baird et al., ; Caballero et al., ; Fernández et al., ; Gaspari et al., , ; Louis, Fontaine et al., ; Louis, Viricel et al., ; Martien, Baird, Hedrick, & Webster, ; Martinho, Pereira, Brito, Gaspar, & Carvalho, ; Mirimin et al., ; Natoli, Birkun, Aguilar, Lopez, & Hoelzel, ; Parsons, Noble, Reid, & Thompson, ; Parsons et al., ; Rosel, Hansen, & Hohn, ). The driving force(s) behind fine‐scale population structuring among coastal populations of bottlenose dolphins are not fully resolved, but have been suggested to include isolation following a historical founding event; habitat preferences; differences in social structure and site fidelity; learned foraging specializations; natal philopatry; limited dispersal of both sexes; and habitat discontinuity linked to prey availability (Gaspari et al., ; Krützen, Barre, Connor, Mann, & Scherwin, ; Krützen, Scherwin, Berggren, & Gales, ; Louis, Fontaine et al., ; Louis, Viricel et al., ; Martien et al., ; Natoli et al., ; Parsons et al., ; Rosel et al., ).…”

Section: Introductionmentioning

confidence: 98%

Quantifying dispersal between marine protected areas by a highly mobile species, the bottlenose dolphin,Tursiops truncatus

Nykänen

Dillane

Englund

et al. 2018

Ecology and Evolution

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The functioning of marine protected areas (MPAs) designated for marine megafauna has been criticized due to the high mobility and dispersal potential of these taxa. However, dispersal within a network of small MPAs can be beneficial as connectivity can result in increased effective population size, maintain genetic diversity, and increase robustness to ecological and environmental changes making populations less susceptible to stochastic genetic and demographic effects (i.e., Allee effect). Here, we use both genetic and photo‐identification methods to quantify gene flow and demographic dispersal between MPAs of a highly mobile marine mammal, the bottlenose dolphin Tursiops truncatus. We identify three populations in the waters of western Ireland, two of which have largely nonoverlapping core coastal home ranges and are each strongly spatially associated with specific MPAs. We find high site fidelity of individuals within each of these two coastal populations to their respective MPA. We also find low levels of demographic dispersal between the populations, but it remains unclear whether any new gametes are exchanged between populations through these migrants (genetic dispersal). The population sampled in the Shannon Estuary has a low estimated effective population size and appears to be genetically isolated. The second coastal population, sampled outside of the Shannon, may be demographically and genetically connected to other coastal subpopulations around the coastal waters of the UK. We therefore recommend that the methods applied here should be used on a broader geographically sampled dataset to better assess this connectivity.

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“…However, recent technological advances in digital photography and pattern recognition algorithms (Arzoumanian et al 2005;Van Tienhoven et al 2007;Gamble et al 2008;Bolger et al 2012) have enabled field ecologists to create and analyse large photographic databases quickly and efficiently while minimizing effort and misidentification errors , thus allowing for larger sample sizes in CMR studies. In recent years pattern mapping has been employed in a wide and quite varied range of animals, including beetles (Caci et al 2013), seadragons (Martin-Smith 2011), lizards (Sreekar et al 2013), giraffes (Halloran et al 2015) and dolphins (Martinho et al 2014).…”

Section: Introductionmentioning

confidence: 99%

A newt does not change its spots: using pattern mapping for the identification of individuals in large populations of newt species

Mettouris

Megremis

Giokas

2016

Ecological Research

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The correct identification of individuals is a requirement of capture‐mark‐recapture (CMR) methods, and it is commonly achieved by applying artificial marks or by mutilation of study‐animals. An alternative, non‐invasive method to identify individuals is to utilize the patterns of their natural body markings. However, the use of pattern mapping is not yet widespread, mainly because it is considered time consuming, particularly in large populations and/or long‐term CMR studies. Here we explore the use of pattern mapping for the identification of adult individuals in the alpine (Ichthyosaura alpestris) and smooth (Lissotriton vulgaris) newts (Amphibia, Salamandridae), using the freely available, open‐source software Wild‐ID. Our photographic datasets comprised nearly 4000 captured animals’ images, taken during a 3‐year period. The spot patterns of individual newts of both species did not change through time, and were sufficiently varied to allow their individual identification, even in the larger datasets. The pattern‐recognition algorithm of Wild‐ID was highly successful in identifying individual newts in both species. Our findings indicate that pattern mapping can be successfully employed for the identification of individuals in large populations of a broad range of animals that exhibit natural markings. The significance of pattern‐mapping is accentuated in CMR studies that aim in obtaining long‐term information on the demography and population dynamics of species of conservation interest, such as many amphibians facing population declines.

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Structure and abundance of bottlenose dolphins (Tursiops truncatus) in coastal Setúbal Bay, Portugal

Cited by 14 publications

References 32 publications

Seasonal population parameters reveal sex‐related dynamics of common bottlenose dolphins in open waters of the southwestern Gulf of Mexico

Seasonal population parameters reveal sex‐related dynamics of common bottlenose dolphins in open waters of the southwestern Gulf of Mexico

Quantifying dispersal between marine protected areas by a highly mobile species, the bottlenose dolphin,Tursiops truncatus

A newt does not change its spots: using pattern mapping for the identification of individuals in large populations of newt species

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