Unraveling Forest Complexity: Resource Use Efficiency, Disturbance, and the Structure‐Function Relationship

Murphy, Bailey A.; May, Jacob A.; Butterworth, Brian J.; Andresen, Christian G.; Desai, Ankur R.

doi:10.1029/2021jg006748

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The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

i

Unraveling Forest Complexity: Resource Use Efficiency, Disturbance, and the Structure‐Function Relationship

2022
By Murphy, Bailey A. ; May, Jacob A. ; Butterworth, Brian J. ; ...
Source: Journal of Geophysical Research: Biogeosciences, 127(6)

[PDF-2.56 MB]

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Details:

Journal Title:

Journal of Geophysical Research: Biogeosciences
Personal Author:

Murphy, Bailey A. ; May, Jacob A. ; Butterworth, Brian J. ; Andresen, Christian G. ; Desai, Ankur R.

Murphy, Bailey A. ; May, Jacob A. ; Butterworth, Brian J. ; Andresen, Christian G. ; Desai, Ankur R. Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; CIRES (Cooperative Institute for Research in Environmental Sciences) ; PSL (Physical Sciences Laboratory)

OAR (Oceanic and Atmospheric Research) ; CIRES (Cooperative Institute for Research in Environmental Sciences) ; PSL (Physical Sciences Laboratory) Less -
Description:

Structurally complex forests optimize resources to assimilate carbon more effectively, leading to higher productivity. Information obtained from Light Detection and Ranging (LiDAR)-derived canopy structural complexity (CSC) metrics across spatial scales serves as a powerful indicator of ecosystem-scale functions such as gross primary productivity (GPP). However, our understanding of mechanistic links between forest structure and function, and the impact of disturbance on the relationship, is limited. Here, we paired eddy covariance measurements of carbon and water fluxes from nine forested sites within the 10 × 10 km CHEESEHEAD19 study domain in Northern Wisconsin, USA with drone LiDAR measurements
Keywords:

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Aquatic Science Atmospheric Science Ecology Forestry Paleontology Soil Science Water Science And Technology
Source:

Journal of Geophysical Research: Biogeosciences, 127(6)
DOI:

https://doi.org/10.1029/2021jg006748
ISSN:

2169-8953;2169-8961;
Format:

PDF
Publisher:

American Geophysical Union (AGU)
Document Type:

Journal Article
License:

https://creativecommons.org/licenses/by/4.0/
Rights Information:

CC BY
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Library
Main Document Checksum:

[+]

urn:sha256:917c2e8d86cc4bb54fa1b9db4ab0ecc29a4605952342482417642d54dea012b2
Download URL:

https://repository.library.noaa.gov/view/noaa/54168/noaa_54168_DS1.pdf
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