Anticipating global terrestrial ecosystem state change using FLUXNET
Abstract
Abstract Ecosystems can be characterized as complex systems that traverse a variety of functional and structural states in response to changing bioclimatic forcings. A central challenge of global change biology is the robust empirical description of these states and state transitions. An ecosystem's functional state can be empirically described using Process Networks (PN) that use timeseries observations to determine the strength of process‐level functional couplings between ecosystem components. A globally extensive source of in‐situ observations of terrestrial ecosystem dynamics is the FLUXNET eddy‐covariance network that provides standardized observations of micrometeorology and carbon, water, and energy flux dynamics. We employ the LaThuile FLUXNET synthesis dataset to delineate each month's functional state for 204 sites, yielding the LaThuile PN version 1.0 database that describes the strength of an ecosystem's functional couplings from air temperature and precipitation to carbon fluxes during each site‐month. Then we calculate the elasticity of these couplings to seasonal scale forcings: air temperature, precipitation, solar radiation, and phenophase. Finally, we train artificial neural networks to extrapolate these elasticities from 204 sites to the globe, yielding maps of the estimated functional elasticity of every terrestrial ecosystem's functional states to changing seasonal bioclimatic forcings. These maps provide theoretically novel resource thatmore »
- Authors:
-
[1];
[2];
- Univ. of Nebraska, Lincoln, NE (United States)
- Northern Arizona Univ., Flagstaff, AZ (United States)
- National Center for AgroMeteorology, Seoul (South Korea)
- Arizona State Univ., Tempe, AZ (United States)
- Publication Date:
- Research Org.:
- Oregon State Univ., Corvallis, OR (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1609578
- Alternate Identifier(s):
- OSTI ID: 1508860
- Grant/Contract Number:
- FG02-04ER63911; FG02-04ER63917
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Global Change Biology
- Additional Journal Information:
- Journal Volume: 25; Journal Issue: 7; Journal ID: ISSN 1354-1013
- Publisher:
- Wiley
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES; biodiversity & conservation; environmental sciences & ecology; eddy covariance; temperature; precipitation; radiation; phenology; functional elasticity; structural state; process network; information flow; FLUXNET
Citation Formats
Yu, Rong, Ruddell, Benjamin L., Kang, Minseok, Kim, Joon, and Childers, Dan. Anticipating global terrestrial ecosystem state change using FLUXNET. United States: N. p., 2019.
Web. doi:10.1111/gcb.14602.
Yu, Rong, Ruddell, Benjamin L., Kang, Minseok, Kim, Joon, & Childers, Dan. Anticipating global terrestrial ecosystem state change using FLUXNET. United States. https://doi.org/10.1111/gcb.14602
Yu, Rong, Ruddell, Benjamin L., Kang, Minseok, Kim, Joon, and Childers, Dan. Fri .
"Anticipating global terrestrial ecosystem state change using FLUXNET". United States. https://doi.org/10.1111/gcb.14602. https://www.osti.gov/servlets/purl/1609578.
@article{osti_1609578,
title = {Anticipating global terrestrial ecosystem state change using FLUXNET},
author = {Yu, Rong and Ruddell, Benjamin L. and Kang, Minseok and Kim, Joon and Childers, Dan},
abstractNote = {Abstract Ecosystems can be characterized as complex systems that traverse a variety of functional and structural states in response to changing bioclimatic forcings. A central challenge of global change biology is the robust empirical description of these states and state transitions. An ecosystem's functional state can be empirically described using Process Networks (PN) that use timeseries observations to determine the strength of process‐level functional couplings between ecosystem components. A globally extensive source of in‐situ observations of terrestrial ecosystem dynamics is the FLUXNET eddy‐covariance network that provides standardized observations of micrometeorology and carbon, water, and energy flux dynamics. We employ the LaThuile FLUXNET synthesis dataset to delineate each month's functional state for 204 sites, yielding the LaThuile PN version 1.0 database that describes the strength of an ecosystem's functional couplings from air temperature and precipitation to carbon fluxes during each site‐month. Then we calculate the elasticity of these couplings to seasonal scale forcings: air temperature, precipitation, solar radiation, and phenophase. Finally, we train artificial neural networks to extrapolate these elasticities from 204 sites to the globe, yielding maps of the estimated functional elasticity of every terrestrial ecosystem's functional states to changing seasonal bioclimatic forcings. These maps provide theoretically novel resource that can be used to anticipate ecological state transitions in response to climate change and to validate process‐based models of ecological change. These elasticity maps show that each ecosystem can be expected to respond uniquely to changing forcings. Tropical forests, hot deserts, savannas, and high elevations are most elastic to climate change, and elasticity of ecosystems to seasonal air temperature is on average an order of magnitude higher than elasticity to other bioclimatic forcings. We also observed a reasonable amount of moderate relationships between functional elasticity and structural state change across different ecosystems.},
doi = {10.1111/gcb.14602},
journal = {Global Change Biology},
number = 7,
volume = 25,
place = {United States},
year = {Fri Feb 22 00:00:00 EST 2019},
month = {Fri Feb 22 00:00:00 EST 2019}
}
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