Impact of leaf physiological characteristics on seasonal variation in CO2, latent and sensible heat exchanges over a tree plantation

Tanaka, Katsunori; Kosugi, Yukio; Nakamura, Akihiro

doi:10.1016/s0168-1923(02)00128-4

Cited by 49 publications

(41 citation statements)

References 42 publications

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“…During the wet season, these were 6.29, 6.10, and 6.81 mm day −1 (6.40 ± 0.37 mm day −1 ), respectively. These were much higher than those reported by Tanaka et al [39], who reported values of 2-3 mm day −1 in the wet season and 1-3 mm day −1 in the dry season in a mature hill evergreen forest. Much higher evaporation rates of 5.6 and 5.9 mm day −1 during the dry season at an 8-and a 25-year-old secondary hill evergreen forest in northern Thailand were reported by Giambelluca et al [11].…”

Section: Variations In Ecosystem Evapotranspirationcontrasting

confidence: 71%

Variations of Energy Fluxes and Ecosystem Evapotranspiration in a Young Secondary Dry Dipterocarp Forest in Western Thailand

2017

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Deforestation, followed by abandonment and forest regeneration, has become one of the dominant types of land cover changes in the tropics. This study applied the eddy covariance (EC) technique to quantify the energy budget and evapotranspiration in a regenerated secondary dry dipterocarp forest in Western Thailand. The mean annual net radiation was 126.69, 129.61, and 125.65 W m −2 day −1 in 2009, 2010, and 2011, respectively. On average, fluxes of this energy were disaggregated into latent heat (61%), sensible heat (27%), and soil heat flux (1%). While the number of energy exchanges was not significantly different between these years, there were distinct seasonal patterns within a year. In the wet season, more than 79% of energy fluxes were in the form of latent heat, while during the dry season, this was in the form of sensible heat. The energy closure in this forest ecosystem was 86% and 85% in 2010 and 2011, respectively, and varied between 84-87% in the dry season and 83-84% in the wet season. The seasonality of these energy fluxes and energy closure can be explained by rainfall, soil moisture, and water vapor deficit. The rates of evapotranspiration also significantly varied between the wet (average 6.40 mm day −1 ) and dry seasons (3.26 mm day −1 ).

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Section: Variations In Ecosystem Evapotranspirationcontrasting

confidence: 71%

Variations of Energy Fluxes and Ecosystem Evapotranspiration in a Young Secondary Dry Dipterocarp Forest in Western Thailand

2017

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“…Higher E for bamboo forests than for coniferous forests suggests higher canopy photosynthetic rates for bamboo forests than for coniferous forests when assuming an insignificant difference in intercellular CO 2 concentration in stomata and therefore water-use efficiency between the two forest types. To examine this possibility, measurements of carbon assimilation rates at leaf (e.g., Kutsch et al, 2001;Kosugi et al, 2003;Kosugi and Matsuo, 2006) and canopy scales (e.g., Herbst et al, 2002;Tanaka et al, 2002;Kumagai et al, 2006) are recommended.…”

Section: Recommendations For Future Studiesmentioning

confidence: 99%

Stand-scale transpiration estimates in a Moso bamboo forest: II. Comparison with coniferous forests

Komatsu

Onozawa

Kume

et al. 2010

Forest Ecology and Management

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“…The fundamental parameter in the Farquhar et al [1980] model of plant biochemistry is the maximum carboxylation rate (Vc max , mmol CO 2 per unit leaf area per second). Although net photosynthesis calculated by this model closely depends on the maximum rate of electron transport (J max ) and leaf maintenance respiration (Rd), these scale closely with Vc max at a reference temperature [Beerling and Quick, 1995;Reich et al, 1998;Tanaka et al, 2002;Wullschleger, 1993]. Leaf area index (LAI) is also a key ecosystem descriptor because it determines the interception of radiation, which drives photosynthesis and energy exchange.…”

Section: Introductionmentioning

confidence: 99%

Inverse estimation of Vc_max, leaf area index, and the Ball‐Berry parameter from carbon and energy fluxes

Wolf

Akshalov

Saliendra³

et al. 2006

J. Geophys. Res.

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[1] Canopy fluxes of CO 2 and energy can be modeled with high fidelity using a small number of environmental variables and ecosystem parameters. Although these ecosystem parameters are critically important for modeling canopy fluxes, they typically are not measured with the same intensity as ecosystem fluxes. We developed an algorithm to estimate leaf area index (LAI), maximum carboxylation velocity (Vc max ), the Ball-Berry parameter (m), and substrate-dependent ecosystem respiration rate (b A ) by inverting a commonly used modeling paradigm of canopy CO 2 and energy fluxes. To test this algorithm, fluxes of sensible heat (H), latent heat (LE), and CO 2 (Fc) were measured with eddy covariance techniques in a pristine grassland-forb steppe site in northern Kazakhstan. We applied the algorithm to these data and identified ecosystem characteristics consistent with data across a time series of meteorological drivers from the Kazakhstan data. LAI was calculated by fitting the model to measured H + LE, Vc max and b A were solved simultaneously by fitting the model to measured CO 2 fluxes, and m was calculated by varying the partitioning of available energy between H and LE. Seasonal changes in LAI ranged from 2.0 to 2.4, Vc max declined from 20 to 5 mmol CO 2 m À2 s À1 , respiration as a percentage of assimilation ranged from 0.5 to 0.75, and m varied from 17 to 24. Our results with the Kazakhstan data showed that LAI, Vc max , ecosystem respiration, and m can be solved to accurately predict (R 2 = 80 to 95%) carbon and energy fluxes with nonsignificant bias at 20-min and daily timescales. The ecosystem characteristics calculated in our study were consistent with independent measurements of the seasonal dynamics of a shortgrass steppe in Kazakhstan and with values published in the literature. These characteristics were closely linked to mean daily fluxes of CO 2 but were not dependent on the environmental drivers for the periods they were measured. We conclude that process model inversion has potential for comparing CO 2 and energy fluxes among different ecosystems and years and for providing important ecosystem parameters for evaluating climatic influences on CO 2 and energy fluxes.

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Impact of leaf physiological characteristics on seasonal variation in CO2, latent and sensible heat exchanges over a tree plantation

Cited by 49 publications

References 42 publications

Variations of Energy Fluxes and Ecosystem Evapotranspiration in a Young Secondary Dry Dipterocarp Forest in Western Thailand

Variations of Energy Fluxes and Ecosystem Evapotranspiration in a Young Secondary Dry Dipterocarp Forest in Western Thailand

Stand-scale transpiration estimates in a Moso bamboo forest: II. Comparison with coniferous forests

Inverse estimation of Vc_max, leaf area index, and the Ball‐Berry parameter from carbon and energy fluxes

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Impact of leaf physiological characteristics on seasonal variation in CO2, latent and sensible heat exchanges over a tree plantation

Cited by 49 publications

References 42 publications

Variations of Energy Fluxes and Ecosystem Evapotranspiration in a Young Secondary Dry Dipterocarp Forest in Western Thailand

Variations of Energy Fluxes and Ecosystem Evapotranspiration in a Young Secondary Dry Dipterocarp Forest in Western Thailand

Stand-scale transpiration estimates in a Moso bamboo forest: II. Comparison with coniferous forests

Inverse estimation of Vcmax, leaf area index, and the Ball‐Berry parameter from carbon and energy fluxes

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Inverse estimation of Vc_max, leaf area index, and the Ball‐Berry parameter from carbon and energy fluxes