Evaluating the effect of alternative carbon allocation schemes in a land surface
model (CLM4.5) on carbon fluxes, pools and turnover in temperate forests

Montané, Francesc; Fox, A. M.; Arellano, A. F.; MacBean, Natasha; Alexánder, Mario; Dye, Alex; Bishop, Daniel A.; Babst, Flurin; Hessl, Amy; Pederson, Neil; Blanken, Peter D.; Bohrer, Gil; Gough, Christopher M.; Litvak, M. E.; Novick, Kimberly A.; Phillips, Richard P.; Wood, J. D.; Moore, David

doi:10.5194/gmd-2017-74

Cited by 13 publications

(19 citation statements)

References 50 publications

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“…CLM substantially overestimates the year‐to‐year variability in LAI (PBIAS ∼ 66%, RMSE = 3 m 2 m −2 , Figures a and b) particularly in cold (T < 10°C) and warm (T > 20°C) regions and under moderately wet regimes (P < 2,000 mm) (Figures g–4i and g–5i to compare with Figures a–2c and d–2f, respectively). This can potentially originate from the dynamic carbon allocation scheme, and its parameterized limitations for some plant functional types, like deciduous PFTs (Montané et al, ). The nitrogen limitation constraints in the calculation of productivity play an important role in the sensitivity to climate changes in boreal regions.…”

Section: Resultsmentioning

confidence: 99%

Evaluating the Interplay Between Biophysical Processes and Leaf Area Changes in Land Surface Models

Forzieri

Duveiller

Georgievski

et al. 2018

J Adv Model Earth Syst

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Land Surface Models (LSMs) are essential to reproduce biophysical processes modulated by vegetation and to predict the future evolution of the land‐climate system. To assess the performance of an ensemble of LSMs (JSBACH, JULES, ORCHIDEE, CLM, and LPJ‐GUESS) a consistent set of land surface energy fluxes and leaf area index (LAI) has been generated. Relationships of interannual variations of modeled surface fluxes and LAI changes have been analyzed at global scale across climatological gradients and compared with those obtained from satellite‐based products. Model‐specific strengths and deficiencies were diagnosed for tree and grass biomes. Results show that the responses of grasses are generally well represented in models with respect to the observed interplay between turbulent fluxes and LAI, increasing the confidence on how the LAI‐dependent partition of net radiation into latent and sensible heat are simulated. On the contrary, modeled forest responses are characterized by systematic bias in the relation between the year‐to‐year variability in LAI and net radiation in cold and temperate climates, ultimately affecting the amount of absorbed radiation due to LAI‐related effects on surface albedo. In addition, for tree biomes, the relationships between LAI and turbulent fluxes appear to contradict the experimental evidences. The dominance of the transpiration‐driven over the observed albedo‐driven effects might suggest that LSMs have the incorrect balance of these two processes. Such mismatches shed light on the limitations of our current understanding and process representation of the vegetation control on the surface energy balance and help to identify critical areas for model improvement.

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Section: Resultsmentioning

confidence: 99%

Evaluating the Interplay Between Biophysical Processes and Leaf Area Changes in Land Surface Models

Forzieri

Duveiller

Georgievski

et al. 2018

J Adv Model Earth Syst

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“…Allometry, which describes the relationships among an organism's physical or physiological attributes and its size, provides important functional information about how plants partition resources, including patterns that are fundamental to process‐based ecosystem models (Diaz et al, ; Jiang & Wang, ; Korner, ; Luo, Field, & Mooney, ; Montane et al, ). Plant species differ in the allometric relationships among tissue types (Poorter et al, ; Price & Weitz, ; Wright et al, ) and may also diverge in the degree to which allometry is influenced by environmental variables, such as climate.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity of dryland plant allometry to climate

et al. 2019

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Patterns of plant biomass partitioning are fundamental to estimates of primary productivity and ecosystem process rates. Allometric relationships between above‐ground plant biomass and non‐destructive measures of plant size, such as cover, volume or stem density are widely used in plant ecology. Such size‐biomass allometry is often assumed to be invariant for a given plant species, plant functional group or ecosystem type. Allometric adjustment may be an important component of the short‐ or long‐term response of plants to abiotic conditions. We used 18 years of size‐biomass data describing of 85 plant species to investigate the sensitivity of allometry to precipitation, temperature or drought across two seasons and four ecosystems in central New Mexico, USA. Size‐biomass allometry varied with climate in 65%–70% of plant species. Closely related plant species had similar sensitivities of allometry to natural spatiotemporal variation in precipitation, temperature or drought. Annuals were less sensitive than perennials, and forbs were less sensitive than grasses or shrubs. However, the differences associated with plant life history or functional group were not independent of plant evolutionary history, as supported by the application of phylogenetically independent contrasts. Our results demonstrate that many plant species adjust patterns in the partitioning of above‐ground biomass under different climates and highlight the importance of long‐term data for understanding functional differences among plant species. A free Plain Language Summary can be found within the Supporting Information of this article.

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“…Accurate estimation of SWP largely relies on the soil water retention curve (i.e., the relationship between VWC and SWP), which is highly specific to soil properties (Childs, 1940;Clapp and Hornberger, 1978;Cosby et al, 1984;Tuller and Or, 2004;Moyano et al, 2013). Site-level data have been used to evaluate model representations of other processes, such as phenology, net primary production (NPP), transpiration, leaf area index (LAI), water use efficiency, and nitrogen use efficiency (Richardson et al, 2012;De Kauwe et al, 2013;Walker et al, 2014;Zaehle et al, 2014;Mao et al, 2016;Duarte et al, 2017;Montané et al, 2017). In Powell et al (2013), the only aspect concerning SR was the sensitivity of SR to VWC in an Amazon forest, but the study resulted in no improvements to simulated SR.…”

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confidence: 99%

Evaluating the E3SM Land Model at a temperate forest site using flux and soil water measurements

Liang

Wang

Ricciuto

et al. 2018

Preprint

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Abstract. Accurate simulations of soil respiration and carbon dioxide (CO2) efflux are critical to project global biogeochemical cycles and the magnitude of carbon (C) feedbacks to climate change in Earth system models (ESMs). Currently, soil respiration is not represented well in ESMs, and few studies have attempted to address this deficiency. In this study, we evaluated the simulation of soil respiration in the Energy Exascale Earth System Model (E3SM) using long-term observations from the Missouri Ozark AmeriFlux (MOFLUX) forest site in the central U.S. Simulations using the default model parameters significantly underestimated annual soil respiration and gross primary production, while underestimating soil water potential during growing seasons and overestimating it during non-growing seasons. A site-specific soil water retention curve significantly improved modelled soil water potential, gross primary production and soil respiration. However, the model continued to underestimate soil respiration during peak growing seasons, and overestimate soil respiration during non-peak growing seasons. One potential reason may be that the current model does not adequately represent the seasonal cycle of microbial organisms and soil macroinvertebrates, which have high biomass and activity during peak growing seasons and tend to be dormant during non-growing seasons. Our results confirm that modelling soil respiration can be significantly improved by better model representations of the soil water retention curve.

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Evaluating the effect of alternative carbon allocation schemes in a land surface model (CLM4.5) on carbon fluxes, pools and turnover in temperate forests

Cited by 13 publications

References 50 publications

Evaluating the Interplay Between Biophysical Processes and Leaf Area Changes in Land Surface Models

Evaluating the Interplay Between Biophysical Processes and Leaf Area Changes in Land Surface Models

Sensitivity of dryland plant allometry to climate

Evaluating the E3SM Land Model at a temperate forest site using flux and soil water measurements

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