scholarly journals Simultaneous quantification of in situ infaunal activity and pore-water metal concentrations: establishment of benthic ecosystem process-function relations

2012 ◽  
Vol 9 (7) ◽  
pp. 8541-8570
Author(s):  
L. R. Teal ◽  
E. R. Parker ◽  
M. Solan

Abstract. The relative contributions that species assemblages, abiotic variables, and their interactions with one another, make to ecosystem properties are recognised but are seldom considered simultaneously, within context, and at the appropriate spatio-temporal scales. Here, we combine fluorescent time-lapse sediment profile imaging (f-SPI) and diffusion gradient thin gels (DGT) to examine, in situ, the link between an important benthic ecosystem process (bioturbation) and ecosystem functioning (trace metal cycling). We show that the mechanistic basis of how the infaunal community mediate Fe and Mn cycles is difficult to reconcile because of the spatio-temporal differences between particle and porewater mixing. This mismatch means that the consideration of these mechanistic processes in isolation is likely to limit our interpretative capacity of how infaunal communities mediate various biogeochemical processes in the natural environment. Moreover, the combination of multiple technologies, process based simulation modelling and generalised additive statistical modelling achieved here, emphasises the importance of simultaneously considering additional factors that influence benthic chemistry, in particular bioirrigation and tidal flushing of the sediment profile. Our findings highlight a pressing need to determine how the relative importance of multiple abiotic and biotic factors act in concert to alter major biogeochemical pathways across a variety of contexts and habitats.

2013 ◽  
Vol 10 (4) ◽  
pp. 2365-2378 ◽  
Author(s):  
L. R. Teal ◽  
E. R. Parker ◽  
M. Solan

Abstract. The relative contributions that species assemblages, abiotic variables, and their interactions with one another make to ecosystem properties are recognised but are seldom considered simultaneously, within context, and at the appropriate spatio-temporal scales. Here, we combine fluorescent time-lapse sediment profile imaging (f-SPI) and diffusion gradient thin gels (DGT) to examine, in situ, the link between an important benthic ecosystem process (bioturbation) and the availability (profiles) of Fe and Mn. Whilst the combination of these methodologies (fg-SPI) was successful in gathering high-resolution in situ data of bioturbation activity and Fe/Mn profiles simultaneously, we show that the mechanistic basis of how the infaunal community mediate Fe and Mn is difficult to reconcile because of the spatio-temporal differences between particle and porewater mixing. This mismatch means that the consideration of these mechanistic processes in isolation is likely to limit our interpretative capacity of how infaunal communities mediate various biogeochemical processes in the natural environment. Moreover, the combination of multiple technologies, process based simulation modelling and generalised additive statistical modelling achieved here, emphasises the importance of simultaneously considering additional factors that influence benthic chemistry, in particular bioirrigation and tidal flushing of the sediment profile. Our findings highlight a pressing need to determine how the relative importance of multiple abiotic and biotic factors act in concert to alter major biogeochemical pathways across a variety of contexts and habitats.


2004 ◽  
Vol 271 ◽  
pp. 1-12 ◽  
Author(s):  
M Solan ◽  
BD Wigham ◽  
IR Hudson ◽  
R Kennedy ◽  
CH Coulon ◽  
...  

2019 ◽  
Vol 115 (6) ◽  
pp. 063102 ◽  
Author(s):  
B. L. Mehdi ◽  
A. Stevens ◽  
L. Kovarik ◽  
N. Jiang ◽  
H. Mehta ◽  
...  

2012 ◽  
Vol 112 (9) ◽  
pp. 1556-1563 ◽  
Author(s):  
Bruno T. Roseguini ◽  
Arturo A. Arce-Esquivel ◽  
Sean C. Newcomer ◽  
Hsiao T. Yang ◽  
Ronald Terjung ◽  
...  

Despite the escalating prevalence in the aging population, few therapeutic options exist to treat patients with peripheral arterial disease. Application of intermittent pneumatic leg compressions (IPC) is regarded as a promising noninvasive approach to treat this condition, but the clinical efficacy, as well the mechanistic basis of action of this therapy, remain poorly defined. We tested the hypothesis that 2 wk of daily application of IPC enhances exercise tolerance by improving blood flow and promoting angiogenesis in skeletal muscle in a model of peripheral arterial insufficiency. Male Sprague-Dawley rats were subjected to bilateral ligation of the femoral artery and randomly allocated to treatment or sham groups. Animals were anesthetized daily and exposed to 1-h sessions of bilateral IPC or sham treatment for 14–16 consecutive days. A third group of nonligated rats was also studied. Marked increases in treadmill exercise tolerance (∼33%, P < 0.05) and improved muscle performance in situ (∼10%, P < 0.05) were observed in IPC-treated animals. Compared with sham-treated controls, blood flow measured with isotope-labeled microspheres during in situ contractions tended to be higher in IPC-treated animals in muscles composed of predominantly fast-twitch white fibers, such as the plantaris (∼93%, P = 0.02). Capillary contacts per fiber and citrate synthase activity were not significantly altered by IPC treatment. Collectively, these data indicate that IPC improves exercise tolerance in a model of peripheral arterial insufficiency in part by enhancing blood flow to collateral-dependent tissues.


2021 ◽  
Author(s):  
Carola Detring ◽  
Eileen Päschke ◽  
Julian Steinheuer ◽  
Ronny Leinweber ◽  
Markus Kayser ◽  
...  

&lt;p&gt;Mit Hilfe von Doppler-Lidar-Systemen, lassen sich die Profile von Windgeschwindigkeit und -richtung in der Atmosph&amp;#228;rischen Grenzschicht (AGS) auf der Basis klassischer Messstrategien wie einem VAD-24 Scan (Velocity Azimuth Display mit 24 Strahlrichtungen) zuverl&amp;#228;ssig bestimmen (P&amp;#228;schke et al., 2015). F&amp;#252;r praktische Anwendungen von gro&amp;#223;em Interesse sind jedoch neben dem mittleren Windprofil auch kurzzeitige Fluktuationen des Windes, wie sie zum Beispiel in Verbindung mit Windb&amp;#246;en auftreten. Untersuchungen zu Windb&amp;#246;en waren ein wesentlicher Aspekt der Messkampagne FESSTVaL (Field Experiment on Sub-Mesoscale Spatio-Temporal Variability in Lindenberg, www.fesstval.de).&lt;/p&gt;&lt;p&gt;Eine Studie von Suomi et al. (2017) hat gezeigt, dass eine Ableitung von Windb&amp;#246;en aus Doppler Lidar Messungen prinzipiell m&amp;#246;glich ist. Allerdings wird mit &amp;#252;blichen Messstrategien die hierf&amp;#252;r erforderliche hohe zeitliche Aufl&amp;#246;sung in der Ermittlung des Windvektors nicht erreicht, so dass mit Skalierungsans&amp;#228;tzen unter Verwendung von in-situ Windmessungen eine Korrektur der aus den Lidar-Daten abgeleiteten B&amp;#246;enwerte erfolgen muss.&lt;/p&gt;&lt;p&gt;Im Rahmen der vorliegenden Arbeit wurde eine alternative Messstrategie f&amp;#252;r Doppler-Lidar-Systeme vom Typ &amp;#8222;Streamline&amp;#8220; (Halo Photonics) entwickelt und &amp;#252;ber mehrere Monate in den Jahren 2020/21 auf dem Grenzschichtmessfeld Falkenberg des DWD erprobt. Die B&amp;#246;enableitung basiert auf einem sog. Continous Scan Mode (CSM); dabei werden die w&amp;#228;hrend einer vollst&amp;#228;ndigen Rotation des Lidar-Scan-Kopfes kontinuierlich durchgef&amp;#252;hrten Messungen 10-11 Strahlrichtungen zugeordnet und die Radialwindgeschwindigkeiten wiederum mit dem VAD-Verfahren ermittelt. Die Dauer eines Scans betr&amp;#228;gt etwa 3.4s, damit kann eine Zeitaufl&amp;#246;sung erreicht werden, die der heute weit verbreiteten Definition einer Windb&amp;#246; entspricht (3s gleitendes Mittel; WMO (2018)).&lt;/p&gt;&lt;p&gt;Diese neue Konfiguration bringt Herausforderungen an die Datenverarbeitung mit sich. Im CSM muss mit vergleichsweise wenigen Lidar-Pulsen pro Messstrahl gearbeitet werden, so dass klassische Ans&amp;#228;tze der Datenfilterung (Signal-to-Noise Schwellwert, Consensus Filterung) nicht verwendet werden k&amp;#246;nnen. Es wird ein alternatives Verfahren f&amp;#252;r die Prozessierung der Lidar-Rohdaten vorgeschlagen. Die Ergebnisse der Ableitung sowohl des mittleren Windvektors als auch der jeweiligen maximalen Windb&amp;#246; in einem 10-Minuten-Mittelungsintervall werden mit Sonic-Messungen in 90m H&amp;#246;he verglichen.&amp;#160;&lt;/p&gt;&lt;p&gt;Im Rahmen des FESSTVaL Experimentes wurde diese neue Messkonfiguration an drei Standorten, die ein ann&amp;#228;hernd gleichseitiges Dreieck mit einer Kantenl&amp;#228;nge von etwa 5 km bildeten, genutzt. Es werden Fallbeispiele aus der FESSTVaL Kampagne f&amp;#252;r die Variabilit&amp;#228;t im Auftreten von Windb&amp;#246;en gezeigt.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Referenzen&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;P&amp;#228;schke, E., Leinweber, R., and Lehmann, V. (2015): An assessment of the performance of a 1.5 &amp;#956;m Doppler lidar for operational vertical wind profiling based on a 1-year trial, Atmos. Meas. Tech., 8, 2251&amp;#8211;2266, https://doi.org/10.5194/amt-8-2251-2015&lt;/p&gt;&lt;p&gt;Suomi, I., Gryning, S.&amp;#8208;E., O'Connor, E.J. and Vihma, T. (2017): Methodology for obtaining wind gusts using Doppler lidar. Q.J.R. Meteorol. Soc., 143: 2061-2072. https://doi.org/10.1002/qj.3059&lt;/p&gt;&lt;p&gt;World Meteorological Organization (WMO) (2018): Measurement of surface wind. In Guide to Meteorological Instruments and Methods of Observation, Volume I -Measurement of Meteorological Variables, No.8: 196&amp;#8211;213, URL: https://library.wmo.int/doc_num.php?explnum_id=10616 (accessed November 2021)&lt;/p&gt;


2021 ◽  
Author(s):  
Koki Oikawa ◽  
Hirotaka Saito ◽  
Seiichiro Kuroda ◽  
Kazunori Takahashi

&lt;p&gt;As an array antenna ground penetrating radar (GPR) system electronically switches any antenna combinations sequentially in milliseconds, multi-offset gather data, such as common mid-point (CMP) data, can be acquired almost seamlessly. However, due to the inflexibility of changing the antenna offset, only a limited number of scans can be obtained. The array GPR system has been used to collect time-lapse GPR data, including CMP data during the field infiltration experiment (Iwasaki et al., 2016). CMP data obtained by the array GPR are, however, too sparse to obtain reliable velocity using a standard velocity analysis, such as semblance analysis. We attempted to interpolate the sparse CMP data based on projection onto convex sets (POCS) algorithm (Yi et al., 2016) coupled with NMO correction to automatically determine optimum EM wave velocity. Our previous numerical study showed that the proposed method allows us to determine the EM wave velocity during the infiltration experiment.&lt;/p&gt;&lt;p&gt;The main objective of this study was to evaluate the performance of the proposed method to interpolate sparse array antenna GPR CMP data collected during the in-situ infiltration experiment at Tottori sand dunes. The interpolated CMP data were then used in the semblance analysis to determine the EM wave velocity, which was further used to compute the infiltration front depth. The estimated infiltration depths agreed well with independently obtained depths. This study demonstrated the possibility of developing an automatic velocity analysis based on POCS interpolation coupled with NMO correction for sparse CMP collected with array antenna GPR.&lt;/p&gt;


Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2699 ◽  
Author(s):  
Jian Li ◽  
Liqiao Tian ◽  
Qingjun Song ◽  
Zhaohua Sun ◽  
Hongjing Yu ◽  
...  

Monitoring of water quality changes in highly dynamic inland lakes is frequently impeded by insufficient spatial and temporal coverage, for both field surveys and remote sensing methods. To track short-term variations of chlorophyll fluorescence and chlorophyll-a concentrations in Poyang Lake, the largest freshwater lake in China, high-frequency, in-situ, measurements were collected from two fixed stations. The K-mean clustering method was also applied to identify clusters with similar spatio-temporal variations, using remote sensing Chl-a data products from the MERIS satellite, taken from 2003 to 2012. Four lake area classes were obtained with distinct spatio-temporal patterns, two of which were selected for in situ measurement. Distinct daily periodic variations were observed, with peaks at approximately 3:00 PM and troughs at night or early morning. Short-term variations of chlorophyll fluorescence and Chl-a levels were revealed, with a maximum intra-diurnal ratio of 5.1 and inter-diurnal ratio of 7.4, respectively. Using geostatistical analysis, the temporal range of chlorophyll fluorescence and corresponding Chl-a variations was determined to be 9.6 h, which indicates that there is a temporal discrepancy between Chl-a variations and the sampling frequency of current satellite missions. An analysis of the optimal sampling strategies demonstrated that the influence of the sampling time on the mean Chl-a concentrations observed was higher than 25%, and the uncertainty of any single Terra/MODIS or Aqua/MODIS observation was approximately 15%. Therefore, sampling twice a day is essential to resolve Chl-a variations with a bias level of 10% or less. The results highlight short-term variations of critical water quality parameters in freshwater, and they help identify specific design requirements for geostationary earth observation missions, so that they can better address the challenges of monitoring complex coastal and inland environments around the world.


Author(s):  
Melika Sajadian ◽  
Ana Teixeira ◽  
Faraz S. Tehrani ◽  
Mathias Lemmens

Abstract. Built environments developed on compressible soils are susceptible to land deformation. The spatio-temporal monitoring and analysis of these deformations are necessary for sustainable development of cities. Techniques such as Interferometric Synthetic Aperture Radar (InSAR) or predictions based on soil mechanics using in situ characterization, such as Cone Penetration Testing (CPT) can be used for assessing such land deformations. Despite the combined advantages of these two methods, the relationship between them has not yet been investigated. Therefore, the major objective of this study is to reconcile InSAR measurements and CPT measurements using machine learning techniques in an attempt to better predict land deformation.


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