[SRM] FW: Post-Doc Position Available in USDA-ARS

[Gornish, Elise - (egornish)]

Dear Colleagues:

I would like your help in identifying potential candidates for a two-year USDA-ARS post-doc position that is available in Fort Collins, Colorado.  Quantitative understanding of rangeland ecosystems is essential for this position. Experience in system modeling, climate change, and computer language programming (Python, R, Fortran) is desirable. However, the incumbent should be willing to learn rangeland systems modeling and data analyses.

US citizenship is required, and the candidates should have received their Ph. D. within the last 4 years. Interested candidates may send resume directly to Dr. Liwang Ma at Liwang.Ma at usda.gov<mailto:Liwang.Ma at usda.gov>

Thank you for your time.

Liwang Ma
Soil Scientist, USDA-ARS
Fort Collins

Position Description:

Complexity of western US grazing land ecosystems, due to heterogeneous soils, diverse plant
communities, and highly variable intra- and inter-annual precipitation, often precludes
disentangling management and environment effects on primary (aboveground biomass) and
secondary (livestock weight gain) production. The APEX model has recently been enhanced by ARS
and Texas A&M scientists to better represent grazing impacts using data collected from two
Long-Term Agroecosystem Research (LTAR) network sites in contrasting environments, semiarid
(Central Plains Experimental Range) and mesic (Texas Gulf). Projected climate change increases
in extreme events (droughts and deluges) present ranchers and land managers with novel
problems that need science-informed solutions. The objectives of this position are to incorporate
new findings from recent climate extreme experiments into the APEX grazing land model and to simulate the impact of extreme events on primary and secondary production on grazing lands. Specifically,
the incumbent will (1) calibrate and validate the APEX model for extreme events using multi-decadal
primary and secondary production data and (2) extend the improved APEX model to
estimate primary and secondary production in Great Plains grazing lands for mid-late 21st century
climate as projected by the Global Circulation Models (GCMs).





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