Combining flux variance similarity partitioning with artificial neural networks to gap-fill measurements of net ecosystem production of a Pacific Northwest Douglas-fir stand-Reference-Cited by-同舟云学术

Combining flux variance similarity partitioning with artificial neural networks to gap-fill measurements of net ecosystem production of a Pacific Northwest Douglas-fir stand

Published:2021-06 Issue: Volume:303 Page:108382
ISSN:0168-1923
Container-title:Agricultural and Forest Meteorology
language:en
Short-container-title:Agricultural and Forest Meteorology

Author:

Lee Sung-Ching^ORCID,Christen Andreas^ORCID,Black T. Andrew,Jassal Rachhpal S.,Briegel Ferdinand,Nesic Zoran^ORCID

Publisher

Elsevier BV

Subject

Atmospheric Science,Agronomy and Crop Science,Global and Planetary Change,Forestry

Reference85 articles.

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