[MARMAM] Contract Opportunity Marine Mammal Technical Support Services

2020-11-04 Thread BRUCE Morehead
Good Morning,

Ocean Associates Inc. is soliciting candidates  for a contract position with 
the NMFS Office of International Affairs and Seafood Inspection   described 
below and would appreciate your help in providing the application link to  your 
membership.

Marine Mammal  Technical Support Services

Ocean Associates, Inc. (OAI) is seeking a candidate to support the NOAA 
National Marine Fisheries Service (NMFS) Office of International Affairs and 
Seafood Inspection (IASI) in Silver Spring, MD. OAI conducts research, offers 
policy advice, and provides personnel support services to government and 
industry clients for marine fisheries and protected species.  

Duties:

The NMFS/IASI implements the international provisions of the Marine Mammal 
Protection Act (MMPA). Under the MMPA, NMFS/IASI will review the regulatory 
programs implemented by foreign nations exporting fish to the United States to 
evaluate how those programs address injury and mortality of marine mammals in 
commercial fishing, including bycatch and intentional killing. This review will 
assist in the development of tools to support the calculation of marine mammal 
abundance or bycatch limits.

As a contractor working up to 800 hours to 08/19/2021, he/she will:

* Review the nations’ submissions of scientific articles that support their 
marine mammal population abundance estimates or bycatch estimates
* Undertake a review of the scientific literature to further develop tools to 
assist nations in the calculation of their population abundance estimates or 
bycatch limits.
* Meet with the NMFS/IASI staff to review the available scientific information 
and existing source file spreadsheet of marine mammal population abundance 
estimates and bycatch limits and complete the table for species and stocks for 
which data is lacking.
Location: Subcontractor facility or approved place of business. Meetings will 
be convened by teleconference or google video meeting and 
materials/deliverables will be transmitted electronically.

Start Date: As soon as possible. 800 hours through Aug 19, 2021.

https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=9a93435d-91d4-4a65-8a21-2de9187df1dd&ccId=19000101_01&jobId=396607&source=CC2&lang=en_US


Thank you, 
Bruce Morehead  Senior Associate
Ocean Associates, Incorporated240-461-9699  (phone/text)bc.moreh...@comcast.net 
mailto:bc.moreh...@comcast.net On the web at http://www.OceanAssoc.com 
http://www.oceanassoc.com/
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[MARMAM] ONLINE COURSE - Model-based multivariate analysis of abundance data using R (MBMV03) This course will be delivered live

2020-11-04 Thread Oliver Hooker
ONLINE COURSE Model-based multivariate analysis of abundance data
using R (MBMV03) This course will be delivered live

We have a repeat of a great course delivered by David Warton on
abundance/presence/absence data. This course is great for people
working with marine mammal data which may often have large gaps in
mammal sightings or consist of only a few data points.

For more details visits

https://www.prstatistics.com/course/model-based-multivariate-analysis-of-abundance-data-using-r-mbmv03/

Course Overview:
This course will provide an introduction to modern multivariate
techniques, with a special focus on the analysis of abundance or
presence/absence data. Multivariate analysis in ecology has been
changing rapidly in recent years, with a focus now on formulating a
statistical model to capture key properties of the observed data,
rather than transformation of data using a dissimilarity-based
framework. In recent years, model-based techniques have been developed
for hypothesis testing, identifying indicator species, ordination,
clustering, predictive modelling, and use of species traits as
predictors to explain interspecific variation in environmental
response.  These techniques are more interpretable than alternatives,
have better statistical properties, and can be used to address new
problems, such as the prediction of a species’ spatial distribution
from its traits alone.

email oliverhoo...@prstatistics.com with any enquiries or to request
different payment options

Introduction to statistics using R and Rstudio (IRRS02)
28 October 2020 - 29 October 2020
https://www.prstatistics.com/course/introduction-to-statistics-using-r-and-rstudio-irrs02/

Species distribution modelling with Bayesian statistics in R (SDMB01)
9 November 2020 - 13 November 2020
https://www.prstatistics.com/course/species-distribution-modelling-with-bayesian-statistics-in-r-sdmb01/

Introduction to Bayesian modelling with INLA (BMIN01)
9 November 2020 - 13 November 2020
https://www.prstatistics.com/course/introduction-to-bayesian-modelling-with-inla-bmin01/

Introduction to generalised linear models using R and Rstudio (IGLM02)
18 November 2020 - 19 November 2020
https://www.prstatistics.com/course/introduction-to-generalised-linear-models-using-r-and-rstudio-iglm02/

Fundamentals of populations genetics using R (FOPG01)
18 November 2020 - 27 November 2020
https://www.prstatistics.com/course/fundamentals-of-populations-genetics-using-r-fopg01/

Introduction to mixed models using R and Rstudio (IMMR03)
25 November 2020 - 26 November 2020
https://www.prstatistics.com/course/introduction-to-mixed-models-using-r-and-rstudio-immr03/

Introduction to Python (PYIN01)
25 November 2020 - 26 November 2020
https://www.prstatistics.com/course/introduction-to-python-pyin01/

Bayesian hierarchical modelling using R (IBHM05)
27 November 2020 - 11 December 2020
https://www.prstatistics.com/course/bayesian-hierarchical-modelling-using-r-ibhm05/

Meta-analysis in ecology, evolution and environmental sciences (METR01)
30 November 2020 - 4 December 2020
https://www.prstatistics.com/course/meta-analysis-in-ecology-evolution-and-environmental-sciences-metr01/

Introduction to Python for Scientific Computing (PYSC01)
2 December 2020 - 3 December 2020
https://www.prstatistics.com/course/introduction-to-python-for-scientific-computing-pysc01/

Machine Learning and Deep Learning using Python (PYML01)
9 December 2020 - 10 December 2020
https://www.prstatistics.com/course/machine-learning-and-deep-learning-using-python-pyml01/

Structural Equation Modelling for Ecologists and Evolutionary
Biologists (SEMR03) This course will be delivered live
18th January 2021 - 22nd January 2021
https://www.prstatistics.com/course/structural-equation-modelling-for-ecologists-and-evolutionary-biologists-semr03/

Species Distribution Modeling using R (SDMR03)
25th January 2021 - 29th January 2021
https://www.prstatistics.com/course/species-distribution-modeling-using-r-sdmr03/

Advanced Ecological Niche Modelling Using R (ANMR01)
25th January 2021 - 29th January 2021
https://www.prstatistics.com/course/advanced-ecological-niche-modelling-using-r-anmr01/

-- 
Oliver Hooker PhD.
PR statistics

2020 publications;
Parallelism in eco-morphology and gene expression despite variable
evolutionary and genomic backgrounds in a Holarctic fish. PLOS
GENETICS (2020). IN PRESS

www.PRstatistics.com
facebook.com/PRstatistics/
twitter.com/PRstatistics

53 Morrison Street
Glasgow
G5 8LB
+44 (0) 7966500340
+44 (0) 7966500340

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[MARMAM] New publication: gestation and lactation influence stable isotope composition of epidermis layers

2020-11-04 Thread Michelle Gelippi
Dear all,

We are very excited to inform the outcomes of our latest investigation on
the effects of gestation and lactation periods on the stable isotope
composition of epidermis layers of free ranging gray whales are now
presented and available Open Access in PLOS ONE.

“*Tracing gestation and lactation in free ranging gray whales using the
stable isotopic composition of epidermis layers"*

ABSTRACT:

"The isotopic composition of baleen whales’ epidermis structural layers can
give information about dietary change over time. This study investigated if
epidermis layers integrated isotopic values that record physiological
changes from gestation to lactation. Epidermis tissues (n = 43) were
collected from free ranging lactating female gray whale and calves during
the beginning of three breeding seasons. Modelling of δ13C and δ15N values
show intra- and inter-individual differences based on epidermal layers, age
class and year of sampling. The isotopic composition of mother-calf pairs
is correlated, and the estimates of the maximum mother-to-calf isotopic
difference was ~1.4‰ for δ13C and between 1 and 1.5‰ for δ15N values.
Change in δ15N values among epidermal layers in calves was associated with
the transition from fetus to consumption of maternal milk. It is here
proposed when lactation influences calf epidermis, δ15N values decrease
consistently from the outermost to the innermost layer. However, if a calf
was born only few days before collection, epidermis integrates more
variable δ15N patterns because gestation still affects the isotopic
composition of the layers. The possibility of calculating mother-to-calf
nitrogen isotope fractionation, and the regularity of changes between calf
layer δ15N values, allowed results of an isotopic clock model to predict
the age of each calf when sampled with its mother. This model has the
potential to be a straightforward method to estimate the beginning of
lactation, therefore calf birth date when direct observations are not
feasible. The non-lethal remote collection of epidermis appears to be an
effective tool for the study of the physiology of reproduction of baleen
whales. The parallel study of the three epidermal structural layers
highlighted the importance of considering the unique mother-calf pair
physiological status at the time of sampling time when stable isotope
results are interpreted."

LINK:
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0240171

DOI: https://doi.org/10.1371/journal.pone.0240171


All the best,


Michelle

-- 
Michelle Gelippi
PhD fellow
Centro De Investigación Biológicas del Noreste (CIBNOR)
La Paz, BCS, Mexico
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[MARMAM] New publication - Dolphin cardiac auscultation and characterization of heart murmurs

2020-11-04 Thread Barb Linnehan
Dear colleagues,

We are pleased to share our recent publication:

Linnehan BK, Hsu A, Gomez FM, Huston SM, Takeshita R, Colegrove KM, Rowles
TK, Barratclough A, Musser WB, Harms CA, Cendejas V, Zolman ES, Balmer BC,
Townsend FI, Wells RS, Jensen ED, Schwacke LH and Smith CR. (2020)
Standardization of Dolphin Cardiac Auscultation and Characterization of
Heart Murmurs in Managed and Free-Ranging Bottlenose Dolphins (*Tursiops
truncatus*). Front. Vet. Sci. 7:570055. doi: 10.3389/fvets.2020.570055

Available open access:
https://www.frontiersin.org/articles/10.3389/fvets.2020.570055/full

Abstract
Cardiac auscultation is an important, albeit underutilized tool in aquatic
animal medicine due to the many challenges associated with in-water
examinations. The aims of this prospective study were to (1) establish an
efficient and repeatable in-water cardiac auscultation technique in
bottlenose dolphins (Tursiops truncatus), (2) describe the presence and
characterization of heart murmurs detected in free-ranging and managed
dolphins, and (3) characterize heart murmur etiology through
echocardiography in free-ranging dolphins. For technique development, 65
dolphins cared for by the Navy Marine Mammal Program (Navy) were
auscultated. The techniques were then applied to two free-ranging dolphin
populations during capture-release health assessments: Sarasota Bay,
Florida (SB), a reference population, and Barataria Bay, LA (BB), a
well-studied population of dolphins impacted by the Deepwater Horizon oil
spill. Systolic heart murmurs were detected at a frequent and similar
prevalence in all dolphin populations examined (Navy 92%, SB 89%, and BB
88%), and characterized as fixed or dynamic. In all three populations,
sternal cranial and left cranial were the most common locations for murmur
point of maximal intensity (PMI). An in-water transthoracic echocardiogram
technique was refined on a subset of Navy dolphins, and full
echocardiographic exams were performed on 17 SB dolphins and 29 BB
dolphins, of which, 40 had murmurs. Spectral Doppler was used to measure
flow velocities across the outflow tracts, and almost all dolphins with
audible murmurs had peak outflow velocities ≥1.6 m/s (95%, 38/40); three
dolphins also had medium mitral regurgitation which could be the source of
their murmurs. The presence of audible murmurs in most of the free-ranging
dolphins (88%) was attributed to high velocity blood flow as seen on
echocardiography, similar to a phenomenon described in other athletic
species. These innocent murmurs were generally characterized as Grade I-III
systolic murmurs with PMI in the left or sternal cranial region. This study
is the first to describe an efficient technique for in-water dolphin
cardiac auscultation, and to present evidence that heart murmurs are common
in bottlenose dolphins.

Please feel free to contact me with questions.
Cheers,
Barb Linnehan
--
Barbara Linnehan, DVM
Deputy Director of Medicine
National Marine Mammal Foundation
U.S. Navy Marine Mammal Program
barb.linne...@nmmf.org
*linne...@spawar.navy.mil *
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