Biometric and Eddy Covariance Methods for Examining the Carbon Balance of a Larix principis-rupprechtii Forest in the Qinling Mountains, China

Yuan, Jie; Jose, Shibu; Hu, Zhaoyong; Pang, Junzhu; Hou, Lin; Zhang, Shuoxin

doi:10.3390/f9020067

Cited by 14 publications

(5 citation statements)

References 73 publications

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“…Applications of EC methodology extends into several domains including managed agricultural systems (Moorhead et al, 2019; Peddinti et al, 2018), forest ecosystems (Hayek et al, 2018; Heidbach et al, 2017), wetlands (Kowalska et al, 2013; Lu et al, 2017; Siedlecki et al, 2016), urban areas (Ando & Ueyama, 2017; Wang & Ng, 2018), public health (Castaldelli et al, 2013), and water bodies (Timo Vesala et al, 2006). As an example, EC monitored H 2 O and CO 2 fluxes can be used to partition the evapotranspiration (ET) fluxes (Peddinti & Kambhammettu, 2019; Scanlon & Sahu, 2008), understand the interactions between carbon and water cycles of terrestrial ecosystems (Peddinti et al, 2020; Tang et al, 2015), estimate the ecosystem primary product (Kergoat et al, 2008; W. Yuan et al, 2007), and assess the carbon balance of various ecosystems (Campioli et al, 2016; Fei et al, 2017; J. Yuan et al, 2018). EC flux data are often used to test the parameterization models that are at the core of many hypothesis tests and analyses (Kljun et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

“…As an example, EC monitored H 2 O and CO 2 fluxes can be used to partition the evapotranspiration (ET) fluxes Scanlon & Sahu, 2008), understand the interactions between carbon and water cycles of terrestrial ecosystems (Peddinti et al, 2020;Tang et al, 2015), estimate the ecosystem primary product (Kergoat et al, 2008;W. Yuan et al, 2007), and assess the carbon balance of various ecosystems (Campioli et al, 2016;Fei et al, 2017;J. Yuan et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

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Sensitivity of Analytical Flux Footprint Models in Diverse Source‐Receptor Configurations: A Field Experimental Study

2020

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Flux footprint models simulate the source area of scalar fluxes from a measurement site but are hindered by the assumptions that are rarely satisfied in real field conditions. We conducted artificial tracer (CO2) experiments in unstable conditions over an open field, to evaluate three analytical footprint models (Kormann and Meixner‐KM, Hsieh‐HS, and Schuepp‐SP) under variable source‐receptor settings. Experimental configurations include (i) source length (point to semi‐infinite), (ii) emission height (below and above zero‐plane displacement), (iii) measurement height (1.5 and 2.8 m above ground level), and (iv) offset from the principal wind direction (±60°). Eddy covariance (EC) fluxes were measured using one source‐multiple sampling system approach. Results indicate that KM model is in good agreement with the EC measurements under ideal conditions (R2 = 0.81, root‐mean‐square error (RMSE) = 0.008 m−1) compared to HS (R2 = 0.60, RMSE = 0.014 m−1) and SP (R2 = 0.72, RMSE = 0.009 m−1) models. The KM model captured both footprint maximum and its location. Uncertainties in the model estimates were ascertained by considering random ensembles of wind speed, friction velocity, and Obukhov length. The KM model has resulted in the least uncertainty band containing all the flux observations. Error propagation into model simulations resulting from a progressive deviation of the underlying assumptions was assessed. Model‐to‐measurement discrepancies were positive (flux overestimation) for offset deviations up to ±30° and negative beyond. Modeled fluxes were sensitive to source length and emission height in comparison to the offset deviation. Overall, the KM model showed the least error (9.6 ± 8.12%) for different source‐receptor deviations. Study findings can help in evaluating and improving the analytical models for use under nonideal source‐receptor configurations and scaling measurements for different applications.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sensitivity of Analytical Flux Footprint Models in Diverse Source‐Receptor Configurations: A Field Experimental Study

2020

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“…Larix principis-rupprechtii Mayr. is a deciduous tree that is well-adapted to high light levels and freezing temperatures [30]. Due to its rapid growth, high-quality wood, resistance to harsh climate and soil conditions, and its high wind resistance, this species is commonly used for afforestation in the warm temperate subalpine regions of China [30].…”

Section: Introductionmentioning

confidence: 99%

“…is a deciduous tree that is well-adapted to high light levels and freezing temperatures [30]. Due to its rapid growth, high-quality wood, resistance to harsh climate and soil conditions, and its high wind resistance, this species is commonly used for afforestation in the warm temperate subalpine regions of China [30]. The high initial planting density and the lag of management lead to too large canopy density of existing stands, which reduces soil fertility and becomes a typical low yield and poor efficiency forest [31].…”

Section: Introductionmentioning

confidence: 99%

Seasonal Variations and Thinning Effects on Soil Phosphorus Fractions in Larix principis-rupprechtii Mayr. Plantations

Tian

Cheng

Han

et al. 2019

Forests

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Thinning is a common management practice in forest ecosystems. However, understanding whether thinning treatment will change the availability of phosphorus (P) in soils, and the effect of thinning on the seasonal dynamics of soil P fractions, are still limited. The objective of the present study was to assess seasonal variations in soil P fractions under different forest thinning management strategies in a Larch (Larix spp.) plantation in northern China. To accomplish this, we examined soil P fractions, soil physical–chemical properties, and litter biomass under control (CK), light (LT), moderate (MT) and high thinning (HT) treatments. Data were collected during the growing season of 2017. We found that most P fractions varied seasonally at different soil depths, with the highest values occurring in the summer and autumn. When compared to CK, MT enhanced the inorganic P (Pi) concentration extracted by resin strip (R-Pi). Labile organic P (Labile Po), moderately labile P and total P (TP) also increased in both MT and HT treatments irrespective of season. In contrast, less-labile Pi and Po fractions were lower in LT than in CK, especially when examining deeper soil layers. Our results suggest that LT leads to a strong ability to utilize Po and less-labile Pi. Moreover, the effect of thinning did not tend to increase with thinning intensity, P availability was maximized at the MT. Ultimately, we show that MT can improve soil P bioavailability and is recommended in Larix principis-rupprechtii Mayr. plantations of North China. Our results emphasize that the effect of thinning management on soil microenvironment is an important basis for evaluating soil nutrients such as soil P bioavailability.

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“…In the warm temperate zone, Larix principis-rupprechtii Mayr. is one of the typical afforestation species [28]. The high initial planting density and the management lag have resulted in incredibly dense canopies in existing stands, which reduces soil fertility and forest quality with low yield and efficiency [29].…”

Section: Introductionmentioning

confidence: 99%

Effects of Post-Thinning Precipitation on Soil Acid Phosphomonoesterase Activity in Larix principis-rupprechtii Mayr. Plantations

Tian¹,

Cheng²,

Han³

2019

Forests

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Soil phosphorus (P) is one of the essential macronutrients for plant growth. Phosphatase-mediated P mineralization in particular is critical for the biogeochemical cycling of P, and its activity reflects the organic P (Po) mineralization potential in soils. In recent years, global climate change has led to changes in precipitation, which inevitably has affected the P cycle as well. To study these effects of precipitation on soil acid phosphomonoesterase (AcPME) activity, the following combined thinning and precipitation treatments were conducted across Larix principis-rupprechtii Mayr. plantations in China: control (CK), light (LT), moderate (MT), and high thinning (HT). The precipitation treatments included natural precipitation (NP), 30% reduced precipitation (RP30), and 60% reduced precipitation (RP60). Soil moisture, microbial biomass carbon (MBC), and soil P fractions were also determined to link their effects on soil AcPME. The results show that soil AcPME activity was significantly higher in the rainy season, which is associated with higher microbial activity and increased P demand, than in the dry season. Generally, soil AcPME activity was found to increase with thinning intensity. In the dry season, the NP treatment was more conducive to improving soil AcPME activity. In the rainy season, the RP60 treatment inhibited soil AcPME activity under all thinning treatments. The RP30 treatment was only found to offer a significant boost for MT. These results indicate that the potential transformation rate of Po may be more dependent on water in the dry season than in the rainy season. If drought occurs, the Po mineralization rate would decrease for all L. principis-rupprechtii plantations, but excessive rainfall in the rainy season would also impact the turnover of Po into MT adversely.

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Biometric and Eddy Covariance Methods for Examining the Carbon Balance of a Larix principis-rupprechtii Forest in the Qinling Mountains, China

Cited by 14 publications

References 73 publications

Sensitivity of Analytical Flux Footprint Models in Diverse Source‐Receptor Configurations: A Field Experimental Study

Sensitivity of Analytical Flux Footprint Models in Diverse Source‐Receptor Configurations: A Field Experimental Study

Seasonal Variations and Thinning Effects on Soil Phosphorus Fractions in Larix principis-rupprechtii Mayr. Plantations

Effects of Post-Thinning Precipitation on Soil Acid Phosphomonoesterase Activity in Larix principis-rupprechtii Mayr. Plantations

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