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Ken Bible

Researcher at University of Washington

Publications -  16
Citations -  2357

Ken Bible is an academic researcher from University of Washington. The author has contributed to research in topics: Old-growth forest & Eddy covariance. The author has an hindex of 12, co-authored 16 publications receiving 2194 citations.

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Disturbances and structural development of natural forest ecosystems with silvicultural implications, using Douglas-fir forests as an example

TL;DR: In this paper, the authors discuss the use of principles from disturbance ecology and natural stand development to create silvicultural approaches that are more aligned with natural processes, including the role of disturbances in creating structural legacies that become key elements of the post-disturbance stands.
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Production, respiration, and overall carbon balance in an old-growth Pseudotsuga-Tsuga forest ecosystem

TL;DR: In this article, ground-based measurements of stores, growth, mortality, litterfall, respiration, and decomposition were conducted in an old-growth forest at Wind River Experimental Forest, Washington, USA.
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Ecological setting of the Wind River old-growth forest.

TL;DR: The Wind River old-growth forest as discussed by the authors is a 500-year-old Douglas-fir-western hemlock forest of moderate to low productivity at 371m elevation on a less than 10% slope.
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Dynamics of water transport and storage in conifers studied with deuterium and heat tracing techniques.

TL;DR: In this paper, the authors used heat and deuterated water (D 2 O) as tracers to characterize whole-tree water transport and storage properties in individual trees belonging to the coniferous species Pseudotsuga menziesii (Mirb.) Franco and Tsuga heterophylla (Raf.) Sarg.
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Quantification of terrestrial ecosystem carbon dynamics in the conterminous United States combining a process-based biogeochemical model and MODIS and AmeriFlux data

TL;DR: In this article, the authors used satellite remote sensing data and eddy flux measurements and biogeochemical models, such as the Terrestrial Ecosystem Model (TEM), to provide a more adequate quantification of carbon dynamics of terrestrial ecosystems.