Borehole equilibration 2.0 or how to chase tracer pulses in a forested ecosystem

Author(s):  
Ruth-Kristina Magh ◽  
Nils Henriksson ◽  
Hyungwoo Lim ◽  
Reimo Lutter ◽  
Tomas Lundmark ◽  
...  

<p>Identifying tree water sources has long been an issue since obtaining samples was labor intensive and lacked high time resolution because of the destructive sampling procedure. It was previously shown that the “borehole equilibrium method” (Marshall et al. 2020) allows in situ measurements of xylem sap isotopic composition. While the advantage in using this method is its ability to monitor isotopic composition of xylem continuously and rapidly with immediate data availability, disadvantages are the limited number of trees that can be observed and that the laser has to be present in the field. Here, we propose cheaper and more field-deployable elaboration of the method based on the same principle as to use for tracer pulse-chasing experiments in forested ecosystems.</p><p>We installed boreholes in tree stems and sealed them on both sites using brass fittings with a pierceable chlorobutyl septum. The water vapor inside the sealed borehole was assumed to reach isotopic equilibrium with the liquid water in the xylem due to diffusion within seconds and was sampled using gas-tight syringes. The 20ml sample was then injected in a dry air stream connected to a Picarro L2130-I cavity ring-down absorption spectrometer (CRDAS). Standards of known isotopic composition were injected the same way. The peaks, rather than plateaus, of isotopic ratios measured from these injections were weighted by the water vapor amount, giving results accurate enough to distinguish between xylem water of natural abundance and water enriched in deuterium (average SD for <sup>2</sup>H 5.2‰ and <sup>18</sup>O 1.9‰ for natural abundance samples). To test this method in the field, we labeled 1m<sup>2</sup> of soil at different soil depths with 15.5 L of water enriched in <sup>2</sup>HHO (δ<sup>2</sup>H +220000 ‰) in a Scots pine forest in northern Sweden. Trees within a 10m radius from the labeled center were monitored continuously, allowing daily measurements of up to 120 trees for six weeks. Depending on soil depth the uptake dynamics varied over time, with the peaks from the shallowest soil injections  occurring within two weeks, while for the deeper soil layers the contribution to transpiration lagged behind approx. four weeks, likely due to a combination of lower root density and reduced hydraulic conductivity at greater depth.  The strength of the peaks was correlated with distance from the labeled soil patch.</p><p>We were able to show that this method works to chase an artificially enriched water pulse through a natural forested ecosystem. At the same time, this adaptation allows the method to become even cheaper than its precursor as it requires much less tubing and fewer fittings. Lastly, we consider it more field-deployable because it does not require the CRDAS to be in the field.</p>

2012 ◽  
Vol 19 (5) ◽  
pp. 1060-1066 ◽  
Author(s):  
Yu-Cui ZHANG ◽  
Ying-Zhe CAI ◽  
Parkes Stephen ◽  
McCabe Matthew F. ◽  
Fan YANG ◽  
...  

2009 ◽  
Vol 19 (2) ◽  
pp. 164-174 ◽  
Author(s):  
Jianrong Liu ◽  
Xianfang Song ◽  
Xiaomin Sun ◽  
Guofu Yuan ◽  
Xin Liu ◽  
...  

2009 ◽  
Vol 369 (1-2) ◽  
pp. 1-16 ◽  
Author(s):  
I. Braud ◽  
P. Biron ◽  
T. Bariac ◽  
P. Richard ◽  
L. Canale ◽  
...  

2019 ◽  
Author(s):  
Camille Risi ◽  
Joseph Galewsky ◽  
Gilles Reverdin ◽  
Florent Brient

Abstract. Understanding what controls the water vapor isotopic composition of the sub-cloud layer (SCL) over tropical oceans (δD0) is a first step towards understanding the water vapor isotopic composition everywhere in the troposphere. We propose an analytical model to predict δD0 as a function of sea surface conditions, humidity and temperature profiles, and the altitude from which the free tropospheric air originates (zorig). To do so, we extend previous studies by (1) prescribing the shape of δD0 vertical profiles, and (2) linking δD0 to zorig. The model relies on the hypotheses that δD0 profiles are steeper than mixing lines and no clouds are precipitating. We show that δD0 does not depend on the intensity of entrainment, dampening hope that δD0 measurements could help constrain this long-searched quantity. Based on an isotope-enabled general circulation model simulation, we show that δD0 variations are mainly controlled by mid-tropospheric depletion and rain evaporation in ascending regions, and by sea surface temperature and zorig in subsiding regions. When the air mixing into the SCL is lower in altitude, it is moister, and thus it depletes more efficiently the SCL. In turn, could δD0 measurements help estimate zorig and thus discriminate between different mixing processes? Estimates that are accurate enough to be useful would be difficult to achieve in practice, requiring measuring daily δD profiles, and measuring δD0 with an accuracy of 0.1 ‰ and 0.4 ‰ in trade-wind cumulus and strato-cumulus clouds respectively.


2003 ◽  
Vol 3 (6) ◽  
pp. 2173-2181 ◽  
Author(s):  
A. E. Dessler ◽  
S. C. Sherwood

Abstract. Any theory of water vapor in the tropical tropopause layer (TTL) must explain both the abundance and isotopic composition of water there. In previous papers, we presented a model of the TTL that simulated the abundance of water vapor as well as the details of the vertical profile. That model included the effects of "overshooting" convection, which injects dry air directly into the TTL. Here, we present results for the model after modifying it to include water's stable isotopologue HDO (where D represents deuterium, 2H). We find that the model predicts a nearly uniform HDO depletion throughout the TTL, in agreement with recent measurements. This occurs because the model dehydrates by dilution, which does not fractionate, instead of by condensation. Our model shows that this dehydration by dilution is consistent with other physical constraints on the system. We also show the key role that lofted ice plays in determining the abundance of HDO in the TTL. Such lofted ice requires a complementary source of dry air in the TTL; without that, the TTL will rapidly saturate and the lofted ice will not evaporate.


1988 ◽  
Vol 15 (3) ◽  
pp. 407 ◽  
Author(s):  
FJ Bergersen ◽  
MB Peoples ◽  
GL Turner

Soybeans were grown in a glasshouse in sand-vermiculite medium supplied daily with a mineral nutrient solution essentially free of combined N or containing 5 mM nitrate of known 15N abundance. The natural abundance of 15N in parts of plants and in nitrogen remaining in the medium was determined from 15 days after planting until fruiting. In nodulated plants completely dependent on N2 fixation for growth, the δ15N of plant nitrogen was uniformly negative at 56 days (overall mean: -0.90� 0.17) after adjustment for the effect of seed nitrogen. The δ15N of root nodules increased with time (max. 9.6‰), as that of shoots declined (min. - 1.3 ‰). The δ15N of every mainstem trifoliolate leaf and of the first (unifoliolate) leaf declined from initially positive values (0.5 to 2 ‰) to about - 2‰ with similar time courses, irrespective of the time of initiation. There were no significant losses of N from the plants during growth. There were differences between the δ15N of the total N of root-bleeding xylem sap and of sap extracted by vacuum treatment of stems. These were due to differences between the proportions of ureide-N and amino-N and between the δ15N values of these components. When nodulated plants were supplied daily with 5 mM nitrate (δ15N = 7.68‰) between 21 and 35 days, N2 fixation was reduced to 63% of N assimilated but growth and accumulation of nitrogen were affected little. Following removal of nitrate, there were changes in growth which led to enhanced nodulation and N2 fixation. The δ15N of the total N of trifoliolate leaves which were initiated or expanded before or during the period of nitrate treatment remained positive; those expanded or initiated after the treatment became negative in δ15N, as in the corresponding leaves of untreated nodulated plants. The δ15N of nodules was unaffected by the nitrate treatment. In plants (non-nod. Clark '63) supplied continuously with nitrate, the δ15N of the total N of entire plants rose quickly from values for seeds, but to values significantly higher than in the nitrate. These results are discussed in relation to the effects on the use of 15N natural abundance data for estimating utilisation of atmospheric N2 by nodulated plants.


2014 ◽  
Vol 10 (1) ◽  
pp. 377-392 ◽  
Author(s):  
H. C. Steen-Larsen ◽  
V. Masson-Delmotte ◽  
M. Hirabayashi ◽  
R. Winkler ◽  
K. Satow ◽  
...  

Abstract. Water stable isotopes in Greenland ice core data provide key paleoclimatic information, and have been compared with precipitation isotopic composition simulated by isotopically enabled atmospheric models. However, post-depositional processes linked with snow metamorphism remain poorly documented. For this purpose, monitoring of the isotopic composition (δ18O, δD) of near-surface water vapor, precipitation and samples of the top (0.5 cm) snow surface has been conducted during two summers (2011–2012) at NEEM, NW Greenland. The samples also include a subset of 17O-excess measurements over 4 days, and the measurements span the 2012 Greenland heat wave. Our observations are consistent with calculations assuming isotopic equilibrium between surface snow and water vapor. We observe a strong correlation between near-surface vapor δ18O and air temperature (0.85 ± 0.11‰ °C−1 (R = 0.76) for 2012). The correlation with air temperature is not observed in precipitation data or surface snow data. Deuterium excess (d-excess) is strongly anti-correlated with δ18O with a stronger slope for vapor than for precipitation and snow surface data. During nine 1–5-day periods between precipitation events, our data demonstrate parallel changes of δ18O and d-excess in surface snow and near-surface vapor. The changes in δ18O of the vapor are similar or larger than those of the snow δ18O. It is estimated using the CROCUS snow model that 6 to 20% of the surface snow mass is exchanged with the atmosphere. In our data, the sign of surface snow isotopic changes is not related to the sign or magnitude of sublimation or deposition. Comparisons with atmospheric models show that day-to-day variations in near-surface vapor isotopic composition are driven by synoptic variations and changes in air mass trajectories and distillation histories. We suggest that, in between precipitation events, changes in the surface snow isotopic composition are driven by these changes in near-surface vapor isotopic composition. This is consistent with an estimated 60% mass turnover of surface snow per day driven by snow recrystallization processes under NEEM summer surface snow temperature gradients. Our findings have implications for ice core data interpretation and model–data comparisons, and call for further process studies.


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