Dear Colleagues

On behalf of my co-authors, I am pleased to share the following open-access 
publications on  bottlenose dolphin abundance and movements:


D. Silva, R.F. Young, A. Lavin, C. O’Shea and E. Murray. 2020. Abundance and 
seasonal distribution of the Southern North Carolina Estuarine System Stock of 
common bottlenose dolphins (Tursiops truncatus). J. Cetacean Res. Manage. 21: 
33-43, available at  
https://archive.iwc.int/?r=13023<https://nam03.safelinks.protection.outlook.com/?url=https%3A%2F%2Farchive.iwc.int%2F%3Fr%3D13023&data=02%7C01%7Cdcsilva%40coastal.edu%7C94d5a596ae154d9433ef08d7d4cb43b3%7Cbf1f856b8ef84e52be9387d3c3622797%7C0%7C0%7C637211842244326647&sdata=p6bL7DMJ72MmIZK7FPcMqHuqM79bO62RV00OHi9pC24%3D&reserved=0>


ABSTRACT
Under the US Marine Mammal Protection Act, common bottlenose dolphins along the 
United States Atlantic coast are managed as a series of 17 distinct stocks. To 
determine the status of each stock, the Potential Biological Removal (PBR) is 
compared with anthropogenic removals, primarily as a result of fisheries 
bycatch. Estimates of abundance, with associated measures of variance, are 
required to generate the PBR for each stock. The objectives of the current 
study were to estimate abundance for the Southern North Carolina Estuarine 
System Stock (SNCESS) of common bottlenose dolphins and to better define the 
southern boundary of this stock. To meet these objectives, photo-identification 
surveys were conducted during the summer and winter of 2014 in estuarine and 
nearshore coastal waters in southern North Carolina. The surveys extended 25km 
South of the defined southern stock boundary, along the northern South Carolina 
coast. One mark and one recapture survey were conducted for each season. Each 
survey was completed in four or five days and covered over 300km of survey 
tracklines. Dorsal fin images were processed and managed using FinBase, and 
only images of suitable quality and distinctiveness were used for estimates of 
abundance. A three-step decision tree was used to assign each dolphin group to 
either the SNCESS or an adjacent coastal stock, based on sighting location, 
ranging patterns derived from matches to photo-identification catalogues and 
statistical modelling. Only sightings classified as SNCESS were used to 
estimate stock abundance. Abundance estimates were calculated using three 
approaches: the Chapman modification to the Lincoln-Petersen method, package 
Rcapture in program R and program MARK 6.2. The most parsimonious approach was 
the Chapman LP method yielding an estimate of 272 dolphins (95% CI 189–390, CV 
= 0.32) in the summer of 2014. The distribution of SNCESS dolphins shifted 
South in the winter and several individuals were observed up to 70km southwest 
of the currently recognised southern boundary. The results of this study 
support the current definition of the SNCESS but suggest revisions to the 
southern boundary. The SNCESS is the smallest bottlenose dolphin stock off the 
East coast of the USA and is at risk of population decline as a result of 
fisheries-related mortality.


 D. Silva, B. Tramutolo, E. DeSalvio, T. Speakman and R. Young (2019). 
Abundance and Movements of the Northern South Carolina Estuarine System Stock 
of Bottlenose Dolphins (Tursiops truncatus) (USA). JMATE 11(1): 8-18, available 
at 
http://www.oers.ca/journal/volume11/issue1/scientific.pdf<https://nam03.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.oers.ca%2Fjournal%2Fvolume11%2Fissue1%2Fscientific.pdf&data=02%7C01%7Cdcsilva%40coastal.edu%7C4b4df979434441e658a608d7493c793f%7Cbf1f856b8ef84e52be9387d3c3622797%7C0%7C1%7C637058396402112235&sdata=E2W4uCjM0KLThNGEnfh%2F3nshxPubugfsxEVFR9dREhM%3D&reserved=0>

ABSTRACT
In the USA, federal law requires managing anthropogenic threats to bottlenose 
dolphins at the stock level. The Northern South Carolina Estuarine System Stock 
(NSCESS) lacks estimates of abundance and potential biological removal required 
for management. Moreover, the southern stock boundary of the NSCESS is shared 
with the northern boundary for the Charleston Estuarine System Stock (CESS). 
The goals of this study were to investigate the empirical location of the 
southern stock boundary and to generate the first estimate of abundance for the 
NSCESS. Mark-recapture photo-identification surveys including one ‘mark’ and 
two ‘recapture’ sessions were completed between August and early October 2016. 
Predefined survey tracks approximately 245 km in length covered the described 
range for the NSCESS and an additional 11 km southwest of the currently defined 
southern stock boundary. Long term movement patterns were also investigated via 
comparison with historical catalogs from the NSCESS and CESS regions. Observed 
movement patterns did not suggest a clear revision to the southern stock 
boundary, thus sightings within the defined NSCESS stock boundaries were used 
to estimate abundance. Dorsal fin photographs were scored for suitable quality 
and distinctiveness using the program FinBase, and stock abundance was 
estimated with closed population models using the package Rcapture for program 
R. The best fitted model, Mth, was selected based on the lowest AIC value and 
yielded an abundance estimate of 453 dolphins (95% CI = 265-773, CV = 0.28). 
This study contributes to the sustainable management of the NSCESS and informed 
response to anthropogenic and natural threats.

Best regards,

Dani Silva
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