Climate extremes and grassland potential productivity

Chuixiang Yi, Gerald Rustic, Xiyan Xu, Jingxin Wang, Anand Dookie, Suhua Wei, George Hendrey, Daniel Ricciuto, Tilden Meyers, Z. Nagy, Krisztina Pinter

Research output: Contribution to journalArticle

21 Citations (Scopus)

Abstract

The considerable interannual variability (IAV) (5 PgC yr1) observed in atmospheric CO2 is dominated by variability in terrestrial productivity. Among terrestrial ecosystems, grassland productivity IAV is greatest. Relationships between grassland productivity IAV and climate drivers are poorly explained by traditional multiple-regression approaches. We propose a novel method, the perfect-deficit approach, to identify climate drivers of grassland IAV from observational data. The maximum daily value of each ecological or meteorological variable for each day of the year, over the period of record, defines the perfect annual curve. Deficits of these variables can be identified by comparing daily observational data for a given year against the perfect curve. Links between large deficits of ecosystem activity and extreme climate events are readily identified. We applied this approach to five grassland sites with 26 site-years of observational data. Large deficits of canopy photosynthetic capacity and evapotranspiration derived from eddy-covariance measurements, and leaf area index derived from satellite data occur together and are driven by a local-dryness index during the growing season. This new method shows great promise in using observational evidence to demonstrate how extreme climate events alter yearly dynamics of ecosystem potential productivity and exchanges with atmosphere, and shine a new light on climate-carbon feedback mechanisms.

Original languageEnglish
Article number035703
JournalEnvironmental Research Letters
Volume7
Issue number3
DOIs
Publication statusPublished - 2012

Fingerprint

Climate
Productivity
grassland
Ecosystems
productivity
climate
Ecosystem
Evapotranspiration
ecosystem
feedback mechanism
eddy covariance
Atmosphere
terrestrial ecosystem
leaf area index
multiple regression
Satellites
evapotranspiration
satellite data
Feedback
growing season

Keywords

  • Climate extremes
  • Dryness
  • Grasslands
  • Gross photosynthetic production (GPP)
  • Perfect-deficit approach

ASJC Scopus subject areas

  • Environmental Science(all)
  • Renewable Energy, Sustainability and the Environment
  • Public Health, Environmental and Occupational Health

Cite this

Yi, C., Rustic, G., Xu, X., Wang, J., Dookie, A., Wei, S., ... Pinter, K. (2012). Climate extremes and grassland potential productivity. Environmental Research Letters, 7(3), [035703]. https://doi.org/10.1088/1748-9326/7/3/035703

Climate extremes and grassland potential productivity. / Yi, Chuixiang; Rustic, Gerald; Xu, Xiyan; Wang, Jingxin; Dookie, Anand; Wei, Suhua; Hendrey, George; Ricciuto, Daniel; Meyers, Tilden; Nagy, Z.; Pinter, Krisztina.

In: Environmental Research Letters, Vol. 7, No. 3, 035703, 2012.

Research output: Contribution to journalArticle

Yi, C, Rustic, G, Xu, X, Wang, J, Dookie, A, Wei, S, Hendrey, G, Ricciuto, D, Meyers, T, Nagy, Z & Pinter, K 2012, 'Climate extremes and grassland potential productivity', Environmental Research Letters, vol. 7, no. 3, 035703. https://doi.org/10.1088/1748-9326/7/3/035703
Yi, Chuixiang ; Rustic, Gerald ; Xu, Xiyan ; Wang, Jingxin ; Dookie, Anand ; Wei, Suhua ; Hendrey, George ; Ricciuto, Daniel ; Meyers, Tilden ; Nagy, Z. ; Pinter, Krisztina. / Climate extremes and grassland potential productivity. In: Environmental Research Letters. 2012 ; Vol. 7, No. 3.
@article{7354c97ff2bc4b7ca27f3acd2b5e0aca,
title = "Climate extremes and grassland potential productivity",
abstract = "The considerable interannual variability (IAV) (5 PgC yr1) observed in atmospheric CO2 is dominated by variability in terrestrial productivity. Among terrestrial ecosystems, grassland productivity IAV is greatest. Relationships between grassland productivity IAV and climate drivers are poorly explained by traditional multiple-regression approaches. We propose a novel method, the perfect-deficit approach, to identify climate drivers of grassland IAV from observational data. The maximum daily value of each ecological or meteorological variable for each day of the year, over the period of record, defines the perfect annual curve. Deficits of these variables can be identified by comparing daily observational data for a given year against the perfect curve. Links between large deficits of ecosystem activity and extreme climate events are readily identified. We applied this approach to five grassland sites with 26 site-years of observational data. Large deficits of canopy photosynthetic capacity and evapotranspiration derived from eddy-covariance measurements, and leaf area index derived from satellite data occur together and are driven by a local-dryness index during the growing season. This new method shows great promise in using observational evidence to demonstrate how extreme climate events alter yearly dynamics of ecosystem potential productivity and exchanges with atmosphere, and shine a new light on climate-carbon feedback mechanisms.",
keywords = "Climate extremes, Dryness, Grasslands, Gross photosynthetic production (GPP), Perfect-deficit approach",
author = "Chuixiang Yi and Gerald Rustic and Xiyan Xu and Jingxin Wang and Anand Dookie and Suhua Wei and George Hendrey and Daniel Ricciuto and Tilden Meyers and Z. Nagy and Krisztina Pinter",
year = "2012",
doi = "10.1088/1748-9326/7/3/035703",
language = "English",
volume = "7",
journal = "Environmental Research Letters",
issn = "1748-9326",
publisher = "IOP Publishing Ltd.",
number = "3",

}

TY - JOUR

T1 - Climate extremes and grassland potential productivity

AU - Yi, Chuixiang

AU - Rustic, Gerald

AU - Xu, Xiyan

AU - Wang, Jingxin

AU - Dookie, Anand

AU - Wei, Suhua

AU - Hendrey, George

AU - Ricciuto, Daniel

AU - Meyers, Tilden

AU - Nagy, Z.

AU - Pinter, Krisztina

PY - 2012

Y1 - 2012

N2 - The considerable interannual variability (IAV) (5 PgC yr1) observed in atmospheric CO2 is dominated by variability in terrestrial productivity. Among terrestrial ecosystems, grassland productivity IAV is greatest. Relationships between grassland productivity IAV and climate drivers are poorly explained by traditional multiple-regression approaches. We propose a novel method, the perfect-deficit approach, to identify climate drivers of grassland IAV from observational data. The maximum daily value of each ecological or meteorological variable for each day of the year, over the period of record, defines the perfect annual curve. Deficits of these variables can be identified by comparing daily observational data for a given year against the perfect curve. Links between large deficits of ecosystem activity and extreme climate events are readily identified. We applied this approach to five grassland sites with 26 site-years of observational data. Large deficits of canopy photosynthetic capacity and evapotranspiration derived from eddy-covariance measurements, and leaf area index derived from satellite data occur together and are driven by a local-dryness index during the growing season. This new method shows great promise in using observational evidence to demonstrate how extreme climate events alter yearly dynamics of ecosystem potential productivity and exchanges with atmosphere, and shine a new light on climate-carbon feedback mechanisms.

AB - The considerable interannual variability (IAV) (5 PgC yr1) observed in atmospheric CO2 is dominated by variability in terrestrial productivity. Among terrestrial ecosystems, grassland productivity IAV is greatest. Relationships between grassland productivity IAV and climate drivers are poorly explained by traditional multiple-regression approaches. We propose a novel method, the perfect-deficit approach, to identify climate drivers of grassland IAV from observational data. The maximum daily value of each ecological or meteorological variable for each day of the year, over the period of record, defines the perfect annual curve. Deficits of these variables can be identified by comparing daily observational data for a given year against the perfect curve. Links between large deficits of ecosystem activity and extreme climate events are readily identified. We applied this approach to five grassland sites with 26 site-years of observational data. Large deficits of canopy photosynthetic capacity and evapotranspiration derived from eddy-covariance measurements, and leaf area index derived from satellite data occur together and are driven by a local-dryness index during the growing season. This new method shows great promise in using observational evidence to demonstrate how extreme climate events alter yearly dynamics of ecosystem potential productivity and exchanges with atmosphere, and shine a new light on climate-carbon feedback mechanisms.

KW - Climate extremes

KW - Dryness

KW - Grasslands

KW - Gross photosynthetic production (GPP)

KW - Perfect-deficit approach

UR - http://www.scopus.com/inward/record.url?scp=84867040972&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84867040972&partnerID=8YFLogxK

U2 - 10.1088/1748-9326/7/3/035703

DO - 10.1088/1748-9326/7/3/035703

M3 - Article

VL - 7

JO - Environmental Research Letters

JF - Environmental Research Letters

SN - 1748-9326

IS - 3

M1 - 035703

ER -