Postdoctoral Position – Climate Change and Bird Distribution Modeler

Audubon's mission is to conserve and restore natural ecosystems, focusing on 
birds, other wildlife, 
and their habitats for the benefit of humanity and the earth's biological 
diversity.

Position Summary: The Climate Change Modeling postdoc, in collaboration with 
the Fish and 
Wildlife Service and the Landscape Conservation Cooperatives, will model the 
effects of future 
climate change on bird distribution and status in the 48-contiguous states and 
provide the results 
to the conservation planning processes for all the Landscape Conservation 
Cooperatives. This 
information is critical to the design and implementation of management and 
conservation 
strategies that will help ecosystems and species adapt to current and future 
climate change. Birds 
are a useful means to study the current and potential effects of climate change 
on ecosystems, 
because they are excellent environmental indicators, are easy to study, and 
respond predictably to 
changes in the environment. At landscape scales, birds can provide useful 
insights into how 
ecosystems are and will be affected by climate change. Measures taken to 
conserve bird habitats 
and populations will result in the conservation of many other species, 
habitats, and ecosystems. 

Project Description: To deal with the uncertainty inherent in all models, we 
will use a series of 
models to explore both climate change and how birds may respond to those 
changes. We will 
focus our analysis on the more than 600 species of birds that regularly occur 
in continental United 
States and for which bird distribution data are easily obtained from Audubon’s 
Christmas Bird 
Count (CBC) and the North American Breeding Bird Survey (BBS).  Contemporary 
climate 
interpolation will be derived from PRISM: Parameter-elevation Regression on 
Independent Slope 
Model. In phase I, we will develop historic time series models using observed 
climatic associations 
of each species and undertake a rigorous validation process. In phase II, we 
will develop 
contemporary models that can be projected to the future using 112 different 
climate models and 
scenarios. Phase I will be completed in the first 6 months and Phase II will be 
completed in 12 
months. The final 6 months will be devoted to publishing results in 
peer-reviewed journals. This 
effort will produce more than 100 predictive scenarios for each species, 
resulting in more than 
600,000 data layers for birds. We will use an ensemble modeling technique to 
combine scenarios 
for individual species and provide a composite understanding of how a species 
might respond 
under different emission futures. We then will look for areas in each species’ 
range that show 
agreement across models. In addition to the project work, 1-3 publications, led 
by the postdoc, 
are expected.

This is an 18-month position based in Emeryville or Sacramento, California. 

Essential Functions:
•       Climate Change model of bird distribution for 600 bird species in lower 
48-states
•       Data layers for 600 species and more than 100 modeling runs creating 
data layers of 
approximately 600,000.
•       Results for each LCC region: all layers, and summary layers by key 
species and habitat.
•       Interactions with every LCC to answer questions and provide technical 
support
•       Develop and analyze large datasets and results related to climate change
•       Use BBS and CBC data in the Western United States to examine changes in 
bird populations 
since 1960
•       Write conservation briefs and factsheets based on analyses
•       Create fine-scale distribution maps of bird species in support of 
policy initiatives
•       Develop publication quality figures for education and outreach
•       Publish original research and present results at conferences
•       Assist staff with reports and newsletter articles
•       Additional technical duties as requested

Qualifications: PhD in spatial or quantitative statistics required or advanced 
degree in related field 
with at least five years experience as a quantitative analyst. Demonstrated 
expertise in R and GIS 
required. Past modeling experience with Maxent, Domain, BRTs, and other 
programs strongly 
preferred.

Timeline: Please submit a cover letter and resume to Gary Langham at 
glang...@audubon.org by 
March 31st.

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