My name is Alli Cramer and I’m a Marine Ecologist specializing in Ecoinformatics

Studying how environmental variation impacts organismal spatial ecology and connecting that to a population level response.

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Skills

Analysis

Teaching

French

Research

Experience

 
 
 
 
 

Postdoctoral Researcher

UCSC, NOAA SWFSC

Jul 2020 – Present California

Responsibilities include:

  • Analysing
  • Modeling
  • Data Synthesis
 
 
 
 
 

Graduate Research Assistant

Washington State University

Jan 2015 – May 2020 Washington
Founded R Working Group’, teaching R skills and analysis through a peer-to-peer learning model. Teaching Assistant for Oceanography 230.
 
 
 
 
 

Graduate Research Assistant

CSU Monterey Bay

Jan 2012 – Dec 2014 California
Data collection and analysis for California Baseline MPA monitoring. Collected data and developed sampling protocols for image analaysis.
 
 
 
 
 

Social Media Intern

Monterey Area Research Institutions’ Network for Education (MARINE)

Jan 2012 – Dec 2014 California
Cross platform media communication with graduate students from seven different marine focused research institutions. Created online community using Facebook, Twitter, and LinkedIn.

Projects

The goal of this working group is to bring researchers in the fields of population genomics and spatial ecology together to understand how individual dispersal patterns are reflected in genomic population structure. To bridge the gap between population connectivity estimates from the perspectives of population genomics and spatial ecology we must reconcile different definitions of connectivity and the influence of different data types on common connectivity estimations. Identifying a common framework for unifying these branches of population research will allow for increased syntheses of disparate data types and ultimately an increased understanding of population dynamics and the distribution of genetic diversity across the sea. This project is funded by NSF’s RCN for Evolution in Changing Seas.

Classification of ocean biomes and communities based on physical processes. We looked at multiple candidate variables for classification - light, depth, nutrients, grain size, primary produciton, and substrate mobility. The classificaiton which sorted and grouped biomes and communities best was Primary Production and Substrate Mobilty

Investigating regional and global patterns in lake surface area trends

Determining the movement patterns of the endangered Green Sturgeon in the Sacramento watershed.

Recent Publications

Three case studies demonstrating concrete applications of the Global Lake Area, Climate, and Population dataset with emphasis on natural resource management at local, regional, and national scales.

Publically available derived dataset with surface area temperature, precipitation, and population for over 1.42 million lakes.

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