Model-based data assessment for terrestrial carbon processes: implications for sampling strategy in FACE experiments

No abstract is available for this paper.

• Publication year

  2005

• Venue

  Applied Mathematics and Computation

• Publication date

  2005-08-01

• Fields of study

  Mathematics, Computer Science, Environmental Science

• Identifiers
  DOI 10.1016/j.amc.2004.07.016
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Sustainability of terrestrial carbon sequestration: A case study in Duke Forest with inversion approach

  2003cited by this paper
• Estimation of carbon transfer coefficients using Duke Forest free-air CO2 enrichment data

  2002cited by this paper
• Random number generation and Quasi-Monte Carlo methods

  1992cited by this paper

• Estimation of time dependent carbon transfer coefficients using net ecosystem exchange data

  2010cites this paper
• Gradual Global Environmental Change in the Real World and Step Manipulative Experiments in Laboratory and Field: The Necessity of Inverse Analysis

  2009cites this paper
• Modeling and inversion of net ecological exchange data using an Ito stochastic differential equation approach

  2008influential citation
• Spatial patterns of forest characteristics in the western United States derived from inventories.

  2007cites this paper
• Estimation of parameters in carbon sequestration models from net ecosystem exchange data

  2006influential citation
• Carbon sequestration: inversion of FACE data and prediction

  2005cites this paper