scholarly journals Coral Reef Benthic Video Surveys Facilitate Long-Term Monitoring in the Commonwealth of the Northern Mariana Islands: Toward an Optimal Sampling Strategy

2006 ◽  
Vol 60 (2) ◽  
pp. 177-189 ◽  
Author(s):  
Peter Houk ◽  
Robert Van Woesik

Ecosphere ◽  
2016 ◽  
Vol 7 (10) ◽  
Author(s):  
Eric K. Brown ◽  
Sheila A. McKenna ◽  
Sallie C. Beavers ◽  
Tim Clark ◽  
Michael Gawel ◽  
...  


2013 ◽  
Vol 596 ◽  
pp. 1-35 ◽  
Author(s):  
Catherine Tourrand ◽  
Odile Naim ◽  
Lionel Bigot ◽  
Chrisophe Cadet ◽  
Bruce Cauvin ◽  
...  


2010 ◽  
Vol 14 (6) ◽  
pp. 873-889 ◽  
Author(s):  
E. Zehe ◽  
T. Graeff ◽  
M. Morgner ◽  
A. Bauer ◽  
A. Bronstert

Abstract. This study presents an application of an innovative sampling strategy to assess soil moisture dynamics in a headwater of the Weißeritz in the German eastern Ore Mountains. A grassland site and a forested site were instrumented with two Spatial TDR clusters (STDR) that consist of 39 and 32 coated TDR probes of 60 cm length. Distributed time series of vertically averaged soil moisture data from both sites/ensembles were analyzed by statistical and geostatistical methods. Spatial variability and the spatial mean at the forested site were larger than at the grassland site. Furthermore, clustering of TDR probes in combination with long-term monitoring allowed identification of average spatial covariance structures at the small field scale for different wetness states. The correlation length of soil water content as well as the sill to nugget ratio at the grassland site increased with increasing average wetness and but, in contrast, were constant at the forested site. As soil properties at both the forested and grassland sites are extremely variable, this suggests that the correlation structure at the forested site is dominated by the pattern of throughfall and interception. We also found a very strong correlation between antecedent soil moisture at the forested site and runoff coefficients of rainfall-runoff events observed at gauge Rehefeld. Antecedent soil moisture at the forest site explains 92% of the variability in the runoff coefficients. By combining these results with a recession analysis we derived a first conceptual model of the dominant runoff mechanisms operating in this catchment. Finally, we employed a physically based hydrological model to shed light on the controls of soil- and plant morphological parameters on soil average soil moisture at the forested site and the grassland site, respectively. A homogeneous soil setup allowed, after fine tuning of plant morphological parameters, most of the time unbiased predictions of the observed average soil conditions observed at both field sites. We conclude that the proposed sampling strategy of clustering TDR probes is suitable to assess unbiased average soil moisture dynamics in critical functional units, in this case the forested site, which is a much better predictor for event scale runoff formation than pre-event discharge. Long term monitoring of such critical landscape elements could maybe yield valuable information for flood warning in headwaters. We thus think that STDR provides a good intersect of the advantages of permanent sampling and spatially highly resolved soil moisture sampling using mobile rods.



2009 ◽  
Vol 6 (6) ◽  
pp. 7503-7537 ◽  
Author(s):  
E. Zehe ◽  
T. Graeff ◽  
M. Morgner ◽  
A. Bauer ◽  
A. Bronstert

Abstract. This study presents an application of an innovative sampling strategy to assess soil moisture dynamics in a headwater of the Weißeritz in the German eastern Ore Mountains. A grassland site and a forested site were instrumented with two Spatial TDR clusters (STDR) that consist of 39 and 32 coated TDR probes of 60 cm length. Distributed time series of vertically averaged soil moisture data from both sites/ensembles were analyzed by statistical and geostatistical methods. Spatial variability and the spatial mean at the forested site were larger than at the grassland site. Furthermore, clustering of TDR probes in combination with long-term monitoring allowed identification of average spatial covariance structures at the small field scale for different wetness states. The correlation length of soil water content as well as the sill to nugget ratio at the grassland site increased with increasing average wetness and but, in contrast, were constant at the forested site. As soil properties at both the forested and grassland sites are extremely variable, this suggests that the correlation structure at the forested site is dominated by the pattern of throughfall and interception. We also found a strong correlation between average soil moisture dynamics and runoff coefficients of rainfall-runoff events observed at gauge Rehefeld, which explains almost as much variability in the runoff coefficients as pre-event discharge. By combining these results with a recession analysis we derived a first conceptual model of the dominant runoff mechanisms operating in this catchment. Finally, long term simulations with a physically based hydrological model were in good/acceptable accordance with the time series of spatial average soil water content observed at the forested site and the grassland site, respectively. Both simulations used a homogeneous soil setup that closely reproduces observed average soil conditions observed at the field sites. This corroborates the proposed sampling strategy of clustering TDR probes in typical functional units is a promising technique to explore the soil moisture control on runoff generation. Long term monitoring of such sites could maybe yield valuable information for flood warning. The sampling strategy helps furthermore to unravel different types of soil moisture variability.



2019 ◽  
Author(s):  
Muhammad Abrar ◽  
Tri Aryono ◽  
Yaya Ihya Ulumuddin ◽  
Giyanto


2017 ◽  
Vol 4 (1) ◽  
Author(s):  
Adel Heenan ◽  
Ivor D. Williams ◽  
Tomoko Acoba ◽  
Annette DesRochers ◽  
Randall K. Kosaki ◽  
...  


2009 ◽  
Vol 45 (2-3) ◽  
pp. 338-347 ◽  
Author(s):  
Mark E. Monaco ◽  
Alan M. Friedlander ◽  
Chris Caldow ◽  
Sarah D. Hile ◽  
Charles Menza ◽  
...  




Author(s):  
Barbara S. Minsker ◽  
Charles Davis ◽  
David Dougherty ◽  
Gus Williams


Sign in / Sign up

Export Citation Format

Share Document