NSF Workshop on Data-model Assimilation in Ecology

Group reports  
                                           Group 1          Group 2          Group 3          Group 4
   
   

Talks

 

Alan Hastings

Population ecology (PPT)

Andrew Latimer

Integrating large-scale survey data sets with climate and land use data to model species distribution dynamics (PPT)

Andrew Richardson

Data-model assimilation issues at AmeriFlux (PPT)

Andrew Richardson

Error structure and implications on data-model assimilation (PPT)

Damion Barrett

Regional residence times with genetic algorithms  (PPT)

Dave Schimel

NEON’s perspectives on data-model assimilation (Webpage)

Dave Schimel

Community research and governance for NEON’s data products (Webpage)

Debra Peters

Data-model assimilation issues at LTER (PPT)

Gaby Katul

On the spectrum of soil moisture in a shallow-rooted uniform pine forest: from hourly to inter-annual scales (PPT)

Jim Clark

Integrating data and models to infer forest dynamic processes  (Abstract)

Joe Zhou

Data-model assimilation issues for environmental genomics (PPT)

Kiona Ogle

Soil processes with a Bayesian approach (PPT)

S. Lakshmivarahan
Dynamic Data Assimilation: A historical view (PPT)

Liz Blood

NSF perspectives on data-model assimilation (PPT)

Mathew Williams

Multiple data sets with Kalman filter (PPT)

Paul Moorcroft

Data-model assimilation with ED model (PPT)

Shunlin Liang

Assimilation of satellite and ecological data (PDF)

Tom Hobbs

Introducing model-data fusion to graduate students in ecology (PPT)

Ying Ping Wang

Integration of biosphere and atmosphere observations (PPT)

Yiqi Luo

Data-model assimilation in ecology: Past, present, and future (PPT)

Yiqi Luo

Model assimilation of data from manipulative experiments (PDF)

 

 

Posters

 

Haibin Wu et al.

New Coupled Vegetation-Carbon Model Used Inversely for Reconstructing Past Terrestrial Carbon Storage from Pollen Data: Validation of Model Using Modern Data (File)

Richard W. Lucas and Kiona Ogle

Understanding the effects of altered precipitation on arid and semiarid plants and ecosystems: A Bayesian synthesis Richard (File)

Chao Gao et al.

Parameter estimation of forest carbon dynamics using Kalman Filter methods –Preliminary results (File)

Ensheng Weng et al.

Uncertainty Analysis with Data-Model Assimilation at Duke FACE (File)

Xuhui Zhou et al.

Uncertainty analysis of carbon turnover time and sequestration potential in terrestrial ecosystems of the Conterminous USA (File)

Inés Ibáñez, et al.

Spatio-temporal mismatches in species responses to climate change (File)

Sean M. McMahon et al.

Rebuilding a forest using data-models (File)

Li Zhang et al.

 Estimates of Carbon Transfer coefficients Using Probabilistic Inversion for Three Forest Ecosystems in East China (File)

 

 

Department of Botany and Microbiology, University of Oklahoma, Norman OK, 73019