2016
DOI: 10.1186/s13717-016-0053-5
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Differential responses of carbon and water vapor fluxes to climate among evergreen needleleaf forests in the USA

Abstract: Introduction: Understanding the differences in carbon and water vapor fluxes of spatially distributed evergreen needleleaf forests (ENFs) is crucial for accurately estimating regional or global carbon and water budgets and when predicting the responses of ENFs to current and future climate. Methods: We compared the fluxes of ten AmeriFlux ENF sites to investigate cross-site variability in net ecosystem exchange of carbon (NEE), gross primary production (GPP), and evapotranspiration (ET). We used wavelet cross-… Show more

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Cited by 17 publications
(14 citation statements)
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“…Our data indicate that when air temperatures are anomalously high during a dry summer, as in 2015, decreased GPP is further exacerbated by stomatal closure in response to higher VPD and also likely by downregulation of enzymes (Wohlfahrt et al 2018), resulting in substantially lower pWUE. This finding agrees with the wavelet analysis by Wagle et al (2016), which indicates that carbon uptake (NEP or GPP) is constrained more than ET by VPD through restriction of stomatal regulation. This finding also echoes Reichstein et al (2002Reichstein et al ( , 2007, which documents a decrease in WUE at European evergreen needleleaf forests during drier years.…”
Section: Early Growing Seasonsupporting
confidence: 90%
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“…Our data indicate that when air temperatures are anomalously high during a dry summer, as in 2015, decreased GPP is further exacerbated by stomatal closure in response to higher VPD and also likely by downregulation of enzymes (Wohlfahrt et al 2018), resulting in substantially lower pWUE. This finding agrees with the wavelet analysis by Wagle et al (2016), which indicates that carbon uptake (NEP or GPP) is constrained more than ET by VPD through restriction of stomatal regulation. This finding also echoes Reichstein et al (2002Reichstein et al ( , 2007, which documents a decrease in WUE at European evergreen needleleaf forests during drier years.…”
Section: Early Growing Seasonsupporting
confidence: 90%
“…In general, VPD and air temperature controlled all three WUE metrics at halfhourly and daily time scales, while atmospheric CO 2 concentration was identified as the most important indicator of monthly WUEs. Our analysis of variable importance using a machine learning technique (BRT) and a traditional statistical method (MLR) partly agree with a wavelet cross-correlation analysis by Wagle et al (2016), which indicates that variations in carbon uptake and evapotranspiration mostly resonate with VPD and air temperature from half-hourly to weekly timescales. The high dependence of WUE on VPD at sub-daily and daily time-scale implies a strong impact of atmospheric water demand on stomatal conductance which directly affects transpiration and indirectly affects photosynthesis.…”
Section: Discussionsupporting
confidence: 71%
“…Warm phase years see the shortest period of net uptake (70 days) while cool phase years have the longest period of continuous daily −F NEE (115 days). Wind River's net carbon uptake period is relatively short compared to other US evergreen forests (mean=266 days, n=9 forests, stand ages range from 22 to 110 years, mean age=70 years) (Wagle et al 2016). The shorter net uptake period is due to a combination of geography and climate, and forest age and height.…”
Section: Resultsmentioning
confidence: 95%
“…δe is an important driver of canopy gasatmosphere exchange because it influences stomatal conductance and can limit photosynthetic CO 2 uptake at high levels, particularly when soil moisture is limited. The F NEE record at Wind River indicates that maximum half-hourly F NEE uptake occurs, on average, around 12°C and quickly declines once mean air temperatures and δe reach 20°C and 2.0 kPa, respectively (Wagle et al 2016). Net C uptake can occur even at very low temperatures (0°C-5°C) given that there is sufficient light for photosynthesis (Q p >50 MJ m −2 mo −1 ) (Falk et al 2005).…”
Section: Resultsmentioning
confidence: 99%
“…In recent years, wavelet analysis has been used in many studies of geophysical data, such as river levels, turbulence over plant canopies, and pollutant concentrations (Collineau & Brunet, 1993;Stoy et al, 2013;Terradellas, Soler, Ferreres, & Bravo, 2005;Zeri, Oliveira-Junior, & Bastos Lyra, 2011) and also to study the interactions between environmental drivers and ecosystem fluxes (Braswell et al, 2005;Wagle et al, 2016). Wavelet coherence analysis is able to synthetically identify the points where two variables are correlated in a two dimensional space representing time and frequency.…”
Section: Wavelet Coherence Analysismentioning
confidence: 99%