My research interests focus on theoretical and applied issues in marine resource ecology and their management. This includes developing population and community dynamics models, stock assessments, spatio-temporal analyses, and life history analyses. Specifically, I like to integrate scientific programming with the latest advances in statistical modeling to respond to changes in the structure and functioning of marine ecosystems and populations 🌊📚💻
For more information about me and the things I work on, you can view my curriculum vitae
I also run a project called r4fish , an initiative focused on scientific outreach and activities related to the sea.
For more details, please contact me at qselmers@gmail.com
- Population dynamics and models that describe them
- Methods for counting animals (generally 🐟) and the models we use to make sense of the data
- Statistical analysis as a means to quantify knowledge and uncertainty
- State-space models as a means to disentangle biological and observational processes
- Transparent and data-driven decision processes because regardless of the outcome, it should always be clear why a choice was made
- Reproducible workflows because analyses are rarely ever “finished”
and
denote public and private repositories, respectively.
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pelagicSurvey
: This package processes data from scientific surveys on pelagic resources, offering tools for data standardization, validation, analysis, and visualization. It aims to inspire the development of interconnected tools for various ecological data. Under active development.
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retroSurveys
: This package enables the comparison of scientific survey, focusing on aspects like spatial behavior, biological data, size structure, and other ecological parameters. It provides comparative analysis to identify similarities and differences across various surveys. Under active development.
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catchSurvey
: The package allows for the comparison of predicted catches for a fishing season with those observed by the fleet, based on projections and real data. It provides daily, weekly, monthly, and annual analyses. Under active development.
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In-season estimation and prediction of effort and harvest for anchovy, jack mackerel, chub mackerel, and other species, as well as their fisheries.
- ancs-assess
: Repository containing tools and a workflow for conducting stock assessment of anchovy available in the southern region of the Peruvian sea using SPiCT. The tools can be executed via code-only or interactive (point-and-click) workflows; the interactive workflow automates the generation of summary reports using Rmarkdown and built-in templates. Under active development.
- ancnc–assess
: Repository containing tools and an associated workflow for the stock assessment of anchovy in the northern-central region using direct survey observations. Under active development.
- jjm-nat-assess
: Repository for the population assessment of the Peruvian jack mackerel stock. The assessment uses the Joint Jack Mackerel (JJM) model, developed within the framework of the Scientific Committee meetings of the South Pacific Regional Fisheries Management Organization (CC of the OROP-PS). Development considered complete at present
- ancs-assess
Soon you will see this section containing general-purpose R packages.
Click the title of each article to see more information.
and
denote open-access and paywall articles, respectively.
Classification models based on the gonadosomatic index to determine gonadal maturity stages: A case study in the Peruvian anchovy Engraulis ringens
Scientia Marina,
In Press
Quispe-Salazar, E., J. Sanchez, and A. Perea de la Matta
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Repository:
Not Available
Archive: Not Available
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Crossref:
NA
Google Scholar:
Assessing the conservation status of the Peruvian anchoveta Engraulis ringens from 1950 to 2022 using a stochastic surplus production model in continuous-time
Bulletin Instituto del Mar del Perú,
In Press
Díaz, E., E. Quispe-Salazar, and P. Marin
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Repository:
Not Available
Archive: Not Available
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Crossref:
NA
Google Scholar:
Marine fauna associated with the industrial purse seine fishery based on observations from the program ‘Bitácoras de Pesca’
Bulletin Instituto del Mar del Perú,
In Press
Galarza-Tirado, G. P., E. Quispe-Salazar, J. Limache, and G. M. Correa
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Repository:
Not Available
Archive: Not Available
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Crossref:
NA
Google Scholar:
Aggregative behavior of the Peruvian anchovy (Engraulis ringens): Description of school typology from onboard observations
Bulletin Instituto del Mar del Perú,
40(1): in press
Quispe-Salazar, E., D. Grados, and M. Pozada-Herrera
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Repository:
Not Available
Archive: Not Available
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Crossref:
NA
Google Scholar:
This file was created by knitting
README.Rmd
which makes heavy usage of R packages:
htmltools
,
stringr
,
RefManageR
,
rcrossref
, and
scholar
©
Elmer Quispe-Salazar under the
MIT license
Updated
2025-04-28