Hurricanes accelerate dissolved organic carbon cycling in coastal ecosystems

Author(s):  
Ge Yan ◽  
Jessica Labonté ◽  
Antonietta Quigg ◽  
Karl Kaiser

<p>Extreme weather events such as tropical storms and hurricanes deliver large amounts of<br>freshwater (stormwater and river discharge) and associated dissolved organic carbon (DOC)<br>to estuaries and the coastal ocean, affecting water quality and carbon budgets. Hurricane<br>Harvey produced an unprecedented 1000-year flood event in 2017 that inundated the heavily<br>urbanized and industrialized Houston/Galveston region (Texas, USA). Within a week, storm-<br>associated floodwater delivered 105±10 Gg of terrigenous dissolved organic carbon (tDOC)<br>to Galveston Bay and the Gulf of Mexico continental shelves. In-situ decay constants of<br>8.75-28.33 yr<sup> -1</sup> resulted in the biomineralization of ~70% of tDOC within one month of<br>discharge from the flood plain. The high removal efficiency of tDOC was linked to a diverse<br>microbial community capable of degrading a wide repertoire of dissolved organic matter<br>(DOM), and suggested hurricane-induced flood events affect net CO<sub>2</sub> exchange and nutrient<br>budgets in estuarine watersheds and coastal seas.<br><br></p>

2019 ◽  
Vol 219 ◽  
pp. 189-200 ◽  
Author(s):  
Alexandria G. Hounshell ◽  
Jacob C. Rudolph ◽  
Bryce R. Van Dam ◽  
Nathan S. Hall ◽  
Christopher L. Osburn ◽  
...  

1990 ◽  
Vol 26 (12) ◽  
pp. 2949-2957 ◽  
Author(s):  
S. L. Schiff ◽  
R. Aravena ◽  
S. E. Trumbore ◽  
P. J. Dillon

Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 859
Author(s):  
Suzanne R. Jacobs ◽  
Björn Weeser ◽  
Mariana C. Rufino ◽  
Lutz Breuer

In situ spectrophotometers measuring in the UV-visible spectrum are increasingly used to collect high-resolution data on stream water quality. This provides the opportunity to investigate short-term solute dynamics, including diurnal cycling. This study reports unusual changes in diurnal patterns observed when such sensors were deployed in four tropical headwater streams in Kenya. The analysis of a 5-year dataset revealed sensor-specific diurnal patterns in nitrate and dissolved organic carbon concentrations and different patterns measured by different sensors when installed at the same site. To verify these patterns, a second mobile sensor was installed at three sites for more than 3 weeks. Agreement between the measurements performed by these sensors was higher for dissolved organic carbon (r > 0.98) than for nitrate (r = 0.43–0.81) at all sites. Higher concentrations and larger amplitudes generally led to higher agreement between patterns measured by the two sensors. However, changing the position or level of shading of the mobile sensor resulted in inconsistent changes in the patterns. The results of this study show that diurnal patterns measured with UV-Vis spectrophotometers should be interpreted with caution. Further work is required to understand how these measurements are influenced by environmental conditions and sensor-specific properties.


2009 ◽  
Vol 66 (9) ◽  
pp. 1522-1531 ◽  
Author(s):  
M. Demarty ◽  
Y. T. Prairie

We studied the in situ release of dissolved organic carbon (DOC) by growing a submerged freshwater macrophyte–epiphyte complex. Incubations with benthic chambers in five southeastern Quebec lakes show a net DOC production for different communities of Myriophyllum spicatum and Potamogeton spp. Daytime DOC release rates range from undetectable to 9.7 mg C·m–2·h–1. Although DOC release was restricted to daylight hours and thus suggestive of a photosynthesis-related process, we found no strong link between DOC release rates and concurrent illumination or temperature. We found no difference in DOC release rates between the three main colonizing species of the studied region. The overall mean DOC release rate was 4.57 mg C·m–2·h–1 (standard deviation (SD), ±0.65) or 56 µg C·g dry weight–1·h–1 (SD, ±8), which we suggest can be used for extrapolations at the lake scale.


Author(s):  
G. Doxani ◽  
S. Siachalou ◽  
Z. Mitraka ◽  
P. Patias

<p><strong>Abstract.</strong> Climate change and increase of extreme weather events, besides the numerous consequences, affect significantly and put in risk the agriculture sectors. Natural disasters, such as floods and wildfires, are responsible for a great loss in agriculture production. National governments together with international bodies make an important effort to cooperate towards the response and resilience when a disaster occurs. In this frame the European Earth Observation Programme - Copernicus provides a series of observation data, in-situ measurements and services related, amongst others, to different types of disasters. Concerning the availability of this big volume of observation data, the aim of DiAS (Disaster and Agriculture Sentinel Applications) project is to revise the existing knowledge on remote sensing methods for mapping the extent of natural and/or man-made disaster over agricultural areas and propose improvements. The developed methodology will be implemented in a Decision Support System (DSS), which will be freely available and easy-to-use by non-experts. In this paper, the developed methodology focuses on mapping floods over agricultural areas. Sentinel-1 and Sentinel-2 imagery are used as input information for the comparison analysis before and after the event. The reference for results’ evaluation is the corresponding information delivered by Copernicus Emergency Management Service (EMS). Although, the evaluation results are in good agreement when they could be used, a reference of higher accuracy is needed in order to estimate accurately the quality of the output products.</p>


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