Assessing parameter variability in a photosynthesis model within and between plant functional types using global Fluxnet eddy covariance data

Groenendijk, M.; Dolman, A. J.; Molen, M. K. van der; Leuning, R.; Arneth, Almut; Delpierre, Nicolas; Gash, J. H. C.; Lindroth, Anders; Richardson, Andrew D.; Verbeeck, Hans; Wohlfahrt, Georg

doi:10.1016/j.agrformet.2010.08.013

Cited by 152 publications

(122 citation statements)

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“…However, because GPP, RE and NEE are the products of abiotic (environment) and biotic (vegetation) factors, in this study, we evaluated the biotic characteristics by inversely estimating photosynthetic and respiratory parameters based on carbon flux and micrometeorology datasets, as well as explaining the intersite variation of GPP, RE and NEE. Several studies have succeeded in relating the spatial variation in photosynthetic and respiratory parameters to environmental and plant functional indices and applying that relationship to develop semi-empirical models to estimate terrestrial carbon cycles at a large scale from micrometeorology data (Saito et al 2009;Groenendijk et al 2011aGroenendijk et al , 2011b or vegetation indices (Ide et al 2010). Our study uses similar approaches and is the first step to developing a semi-empirical model to estimate carbon cycles in larch forests in East Asia.…”

Section: Introductionmentioning

confidence: 99%

Spatial and seasonal variations of CO₂flux and photosynthetic and respiratory parameters of larch forests in East Asia

Takagi

Hirata

Ide

et al. 2015

Soil Science and Plant Nutrition

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Larch (Larix spp.) forests are predominantly distributed across high latitudes of Eurasia. They potentially have a strong influence on the terrestrial carbon and energy cycles, because of their vast area and the large carbon stocks in their peat soils in the permafrost. In this study, we elucidated intersite variation of ecosystem photosynthetic and respiratory parameters of eight larch forests in East Asia using the CarboEastAsia carbon flux and micrometeorology dataset. These parameters were determined using the empirical relationship between the carbon fluxes (photosynthesis and respiration) and micrometeorological variables (light and temperature). In addition, we examined leaf area index (LAI) determined by Moderate Resolution Imaging Spectroradiometer (MODIS) remote sensing data to explain the intersite variation. Linear or exponential relationships with annual mean temperature or seasonal maximum LAI at the study sites were found for the annual carbon fluxes (gross primary production [GPP] and total ecosystem respiration [RE]) as well as for four of the five seasonal maximum values of determined photosynthetic and respiratory parameters (maximum GPP at light saturation, initial slope of the light-response curve, daytime respiration, and RE at the reference temperature of 10°C). Phenological indices, such as start day of the growing season, growing season length and growing season degree days explained much of the intersite variation of GPP and RE of the studied larch forests; however, the relationship between MODIS LAI and photosynthetic or respiratory parameters implies that the intersite variation in GPP and RE was caused not only by the temperature variation (abiotic factor), but also by the variation in the photosynthetic and respiration activity by vegetation (biotic factor) through the change in leaf (or whole vegetation) biomass. Our analysis shows that MODIS LAI serves as a good index to explain the variation of the ecosystem photosynthetic and respiratory characteristics of East Asian larch forests.

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Section: Introductionmentioning

confidence: 99%

Spatial and seasonal variations of CO₂flux and photosynthetic and respiratory parameters of larch forests in East Asia

Takagi

Hirata

Ide

et al. 2015

Soil Science and Plant Nutrition

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“…Current earth system models map this spatial heterogeneity by dividing the global vegetation into a small number of plant functional types (PFTs). Groenendijk et al (2011) demonstrate through calibration of a terrestrial model against direct flux measurements the limit of this approximation and the difficulty in deriving a realistic PFT classification.…”

Section: T Kaminski Et Al: Observing the Continental-scale Carbon Bmentioning

confidence: 99%

Observing the continental-scale carbon balance: assessment of sampling complementarity and redundancy in a terrestrial assimilation system by means of quantitative network design

et al. 2012

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Abstract. This paper investigates the relationship between the heterogeneity of the terrestrial carbon cycle and the optimal design of observing networks to constrain it. We combine the methods of quantitative network design and carboncycle data assimilation to a hierarchy of increasingly heterogeneous descriptions of the European terrestrial biosphere as indicated by increasing diversity of plant functional types. We employ three types of observations, flask measurements of CO 2 concentrations, continuous measurements of CO 2 and pointwise measurements of CO 2 flux. We show that flux measurements are extremely efficient for relatively homogeneous situations but not robust against increasing or unknown complexity. Here a hybrid approach is necessary, and we recommend its use in the development of integrated carbon observing systems.

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“…Using the net exchange of CO 2 observed at the FLUXNET sites, NEE was partitioned into GPP and R eco . Assuming that nighttime NEE = R eco , R eco was estimated as a temperature function of nighttime NEE (Reichstein et al, 2005;Groenendijk et al, 2011).…”

Section: Datamentioning

confidence: 99%

Improved representation of plant functional types and physiology in the Joint UK Land Environment Simulator (JULES v4.2) using plant trait information

et al. 2016

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Abstract. Dynamic global vegetation models are used to predict the response of vegetation to climate change. They are essential for planning ecosystem management, understanding carbon cycle-climate feedbacks, and evaluating the potential impacts of climate change on global ecosystems. JULES (the Joint UK Land Environment Simulator) represents terrestrial processes in the UK Hadley Centre family of models and in the first generation UK Earth System Model. Previously, JULES represented five plant functional types (PFTs): broadleaf trees, needle-leaf trees, C 3 and C 4 grasses, and shrubs. This study addresses three developments in JULES. First, trees and shrubs were split into deciduous and evergreen PFTs to better represent the range of leaf life spans and metabolic capacities that exists in nature. Second, we distinguished between temperate and tropical broadleaf evergreen trees. These first two changes result in a new set of nine PFTs: tropical and temperate broadleaf evergreen trees, broadleaf deciduous trees, needle-leaf evergreen and deciduous trees, C 3 and C 4 grasses, and evergreen and deciduous shrubs. Third, using data from the TRY database, we updated the relationship between leaf nitrogen and the maximum rate of carboxylation of Rubisco (V cmax ), and updated the leaf Published by Copernicus Publications on behalf of the European Geosciences Union. Overall, the simulation of gross and net primary productivity (GPP and NPP, respectively) is improved with the nine PFTs when compared to FLUXNET sites, a global GPP data set based on FLUXNET, and MODIS NPP. Compared to the standard five PFTs, the new nine PFTs simulate a higher GPP and NPP, with the exception of C 3 grasses in cold environments and C 4 grasses that were previously over-productive. On a biome scale, GPP is improved for all eight biomes evaluated and NPP is improved for most biomes -the exceptions being the tropical forests, savannahs, and extratropical mixed forests where simulated NPP is too high. With the new PFTs, the global present-day GPP and NPP are 128 and 62 Pg C year −1 , respectively. We conclude that the inclusion of trait-based data and the evergreen/deciduous distinction has substantially improved productivity fluxes in JULES, in particular the representation of GPP. These developments increase the realism of JULES, enabling higher confidence in simulations of vegetation dynamics and carbon storage.

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Assessing parameter variability in a photosynthesis model within and between plant functional types using global Fluxnet eddy covariance data

Cited by 152 publications

References 134 publications

Spatial and seasonal variations of CO₂flux and photosynthetic and respiratory parameters of larch forests in East Asia

Spatial and seasonal variations of CO₂flux and photosynthetic and respiratory parameters of larch forests in East Asia

Observing the continental-scale carbon balance: assessment of sampling complementarity and redundancy in a terrestrial assimilation system by means of quantitative network design

Improved representation of plant functional types and physiology in the Joint UK Land Environment Simulator (JULES v4.2) using plant trait information

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Assessing parameter variability in a photosynthesis model within and between plant functional types using global Fluxnet eddy covariance data

Cited by 152 publications

References 134 publications

Spatial and seasonal variations of CO2flux and photosynthetic and respiratory parameters of larch forests in East Asia

Spatial and seasonal variations of CO2flux and photosynthetic and respiratory parameters of larch forests in East Asia

Observing the continental-scale carbon balance: assessment of sampling complementarity and redundancy in a terrestrial assimilation system by means of quantitative network design

Improved representation of plant functional types and physiology in the Joint UK Land Environment Simulator (JULES v4.2) using plant trait information

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Spatial and seasonal variations of CO₂flux and photosynthetic and respiratory parameters of larch forests in East Asia

Spatial and seasonal variations of CO₂flux and photosynthetic and respiratory parameters of larch forests in East Asia