Tower-Based Remote Sensing Reveals Mechanisms Behind a Two-phased Spring Transition in a Mixed-Species Boreal Forest
Abstract
The boreal forest is a major contributor to the global climate system, therefore, reducing uncertainties in how the forest will respond to a changing climate is critical. One source of uncertainty is the timing and drivers of the spring transition. Remote sensing can provide important information on this transition, but persistent foliage greenness, seasonal snow cover, and a high prevalence of mixed forest stands (both deciduous and evergreen species) complicate interpretation of these signals. We collected tower-based remotely sensed data (reflectance-based vegetation indices and Solar-Induced Chlorophyll Fluorescence [SIF]), stem radius measurements, gross primary productivity, and environmental conditions in a boreal mixed forest stand. Evaluation of this data set shows a two-phased spring transition. The first phase is the reactivation of photosynthesis and transpiration in evergreens, marked by an increase in relative SIF, and is triggered by thawed stems, warm air temperatures, and increased available soil moisture. The second phase is a reduction in bulk photoprotective pigments in evergreens, marked by an increase in the Chlorophyll-Carotenoid Index. Deciduous leaf-out occurs during this phase, marked by an increase in all remotely sensed metrics. The second phase is controlled by soil thaw. Our results demonstrate that remote sensing metrics can be used tomore »
- Authors:
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[2];
[4];
[5];
[2];
[6];
[8];
[9];
[2];
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[2];
[1]
- Univ. of California, Los Angeles, CA (United States)
- Univ. of Saskatchewan, Saskatoon, SK (Canada)
- Université du Québec à Trois‐Rivières, Trois‐Rivières, QC (Canada)
- Univ. of California, Davis, CA (United States)
- California Institute of Technology (CalTech), Pasadena, CA (United States). Jet Propulsion Lab. (JPL)
- Université du Québec à Montréal, QC (Canada). Centre d’étude de la forêt; Université du Québec à Montréal, QC (Canada). Département Science et Technologie Téluq
- Université du Québec à Montréal, QC (Canada). Centre d’étude de la forêt
- Univ. of Heidelberg (Germany)
- Univ. of Utah, Salt Lake City, UT (United States)
- Publication Date:
- Research Org.:
- Princeton Univ., NJ (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1852073
- Grant/Contract Number:
- SC0016011
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Geophysical Research. Biogeosciences
- Additional Journal Information:
- Journal Volume: 126; Journal Issue: 5; Journal ID: ISSN 2169-8953
- Publisher:
- American Geophysical Union
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; 58 GEOSCIENCES; Environmental Sciences & Ecology; Geology
Citation Formats
Pierrat, Zoe, Nehemy, Magali F., Roy, Alexandre, Magney, Troy, Parazoo, Nicholas C., Laroque, Colin, Pappas, Christoforos, Sonnentag, Oliver, Grossmann, Katja, Bowling, David R., Seibt, Ulli, Ramirez, Alexandra, Johnson, Bruce, Helgason, Warren, Barr, Alan, and Stutz, Jochen. Tower-Based Remote Sensing Reveals Mechanisms Behind a Two-phased Spring Transition in a Mixed-Species Boreal Forest. United States: N. p., 2021.
Web. doi:10.1029/2020jg006191.
Pierrat, Zoe, Nehemy, Magali F., Roy, Alexandre, Magney, Troy, Parazoo, Nicholas C., Laroque, Colin, Pappas, Christoforos, Sonnentag, Oliver, Grossmann, Katja, Bowling, David R., Seibt, Ulli, Ramirez, Alexandra, Johnson, Bruce, Helgason, Warren, Barr, Alan, & Stutz, Jochen. Tower-Based Remote Sensing Reveals Mechanisms Behind a Two-phased Spring Transition in a Mixed-Species Boreal Forest. United States. https://doi.org/10.1029/2020jg006191
Pierrat, Zoe, Nehemy, Magali F., Roy, Alexandre, Magney, Troy, Parazoo, Nicholas C., Laroque, Colin, Pappas, Christoforos, Sonnentag, Oliver, Grossmann, Katja, Bowling, David R., Seibt, Ulli, Ramirez, Alexandra, Johnson, Bruce, Helgason, Warren, Barr, Alan, and Stutz, Jochen. Sat .
"Tower-Based Remote Sensing Reveals Mechanisms Behind a Two-phased Spring Transition in a Mixed-Species Boreal Forest". United States. https://doi.org/10.1029/2020jg006191. https://www.osti.gov/servlets/purl/1852073.
@article{osti_1852073,
title = {Tower-Based Remote Sensing Reveals Mechanisms Behind a Two-phased Spring Transition in a Mixed-Species Boreal Forest},
author = {Pierrat, Zoe and Nehemy, Magali F. and Roy, Alexandre and Magney, Troy and Parazoo, Nicholas C. and Laroque, Colin and Pappas, Christoforos and Sonnentag, Oliver and Grossmann, Katja and Bowling, David R. and Seibt, Ulli and Ramirez, Alexandra and Johnson, Bruce and Helgason, Warren and Barr, Alan and Stutz, Jochen},
abstractNote = {The boreal forest is a major contributor to the global climate system, therefore, reducing uncertainties in how the forest will respond to a changing climate is critical. One source of uncertainty is the timing and drivers of the spring transition. Remote sensing can provide important information on this transition, but persistent foliage greenness, seasonal snow cover, and a high prevalence of mixed forest stands (both deciduous and evergreen species) complicate interpretation of these signals. We collected tower-based remotely sensed data (reflectance-based vegetation indices and Solar-Induced Chlorophyll Fluorescence [SIF]), stem radius measurements, gross primary productivity, and environmental conditions in a boreal mixed forest stand. Evaluation of this data set shows a two-phased spring transition. The first phase is the reactivation of photosynthesis and transpiration in evergreens, marked by an increase in relative SIF, and is triggered by thawed stems, warm air temperatures, and increased available soil moisture. The second phase is a reduction in bulk photoprotective pigments in evergreens, marked by an increase in the Chlorophyll-Carotenoid Index. Deciduous leaf-out occurs during this phase, marked by an increase in all remotely sensed metrics. The second phase is controlled by soil thaw. Our results demonstrate that remote sensing metrics can be used to detect specific physiological changes in boreal tree species during the spring transition. The two-phased transition explains inconsistencies in remote sensing estimates of the timing and drivers of spring recovery. Our results imply that satellite-based observations will improve by using a combination of vegetation indices and SIF, along with species distribution information.},
doi = {10.1029/2020jg006191},
journal = {Journal of Geophysical Research. Biogeosciences},
number = 5,
volume = 126,
place = {United States},
year = {Sat May 01 00:00:00 EDT 2021},
month = {Sat May 01 00:00:00 EDT 2021}
}
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