Streamflow and sediment load assessment from 1950 to 2006 in the Usumacinta and Grijalva Rivers (Southern Mexico) and the influence of ENSO

Muñoz‐Salinas, Esperanza; Castillo, Miguel

doi:10.1016/j.catena.2015.01.007

Cited by 47 publications

(26 citation statements)

References 35 publications

(41 reference statements)

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“…Daily water discharges from US rivers were retrieved from the US Geological Survey (USGS) river gauges (https: //waterdata.usgs.gov, last access: 21 August 2017). Climatologies from Mexican river discharges were derived from He et al (2011), Munoz-Salinas andCastillo (2015), and Martinez-Lopez and Zavala-Hidalgo (2009). Monthly observations of dissolved inorganic nutrients (nitrate, ammonia, silicate) and organic nitrogen in the MS-A rivers were retrieved from the USGS (http://toxics.usgs.gov, last access: 21 August 2017; Aulenbach et al, 2007).…”

Section: Model Descriptionmentioning

confidence: 99%

Seasonal patterns in phytoplankton biomass across the northern and deep Gulf of Mexico: a numerical model study

et al. 2018

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Abstract. Biogeochemical models that simulate realistic lower-trophic-level dynamics, including the representation of main phytoplankton and zooplankton functional groups, are valuable tools for improving our understanding of natural and anthropogenic disturbances in marine ecosystems. Previous three-dimensional biogeochemical modeling studies in the northern and deep Gulf of Mexico (GoM) have used only one phytoplankton and one zooplankton type. To advance our modeling capability of the GoM ecosystem and to investigate the dominant spatial and seasonal patterns of phytoplankton biomass, we configured a 13-component biogeochemical model that explicitly represents nanophytoplankton, diatoms, micro-, and mesozooplankton. Our model outputs compare reasonably well with observed patterns in chlorophyll, primary production, and nutrients over the Louisiana-Texas shelf and deep GoM region. Our model suggests silica limitation of diatom growth in the deep GoM during winter and near the Mississippi delta during spring. Model nanophytoplankton growth is weakly nutrient limited in the Mississippi delta year-round and strongly nutrient limited in the deep GoM during summer. Our examination of primary production and net phytoplankton growth from the model indicates that the biomass losses, mainly due to zooplankton grazing, play an important role in modulating the simulated seasonal biomass patterns of nanophytoplankton and diatoms. Our analysis further shows that the dominant physical process influencing the local rate of change of model phytoplankton is horizontal advection in the northern shelf and vertical mixing in the deep GoM. This study highlights the need for an integrated analysis of biologically and physically driven biomass fluxes to better understand phytoplankton biomass phenologies in the GoM.

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Section: Model Descriptionmentioning

confidence: 99%

Seasonal patterns in phytoplankton biomass across the northern and deep Gulf of Mexico: a numerical model study

et al. 2018

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“…Daily water discharges from US rivers were retrieved from the US Geological Survey (USGS) river gauges (https://waterdata.usgs.gov). Climatologies from Mexican river discharges were derived from He et al (2011), Munoz-Salinas andCastillo (2015), and Martinez-Lopez and Zavala-Hidalgo (2009). Monthly observations of dissolved inorganic nutrients (nitrate, ammonia, silicate) and organic nitrogen in the MS-A Rivers were retrieved from the USGS (http://toxics.usgs.gov; Aulenbach et al, 2007).…”

Section: Model Descriptionmentioning

confidence: 99%

Seasonal Patterns in Phytoplankton Biomass across the Northern and Deep Gulf of Mexico: A Numerical Model Study

Gómez¹,

Lee²,

Liu³

et al. 2017

Preprint

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Abstract. Biogeochemical models that simulate realistic lower trophic levels dynamics, including the representation of main phytoplankton and zooplankton functional groups, are valuable tools for our understanding of natural and anthropogenic disturbances in marine ecosystems. However, previous three-dimensional biogeochemical modeling studies in the northern and deep Gulf of Mexico (GoM) have used only one phytoplankton and one zooplankton type. To advance our modeling 15 capability of the GoM ecosystem and to investigate the dominant spatial and seasonal patterns phytoplankton biomass, we configured a 14-component biogeochemical model that explicitly represents nanophytoplankton, diatoms, micro-, and mesozooplankton. Our model outputs compare well with satellite and in situ observations, reproducing dominant seasonal patterns in chlorophyll and primary production. The model results show that diatom growth is strongly silica limited (>95%) in the deep GoM, and both nitrogen and silica limited (30-70%) in the northern shelf. Nanophytoplankton growth is weakly 20 nutrient limited in the Mississippi delta year-round (<20%), and strongly nutrient limited in the deep GoM during summer (~80%). Such nutrient limitation patterns influence the spatial and seasonal phytoplankton composition, with the mean diatom to total phytoplankton biomass ratio ranging from ~0.5 near the Mississippi delta to <0.1 in the deep GoM. The examination of primary production and net phytoplankton growth indicates that the biomass losses, mainly due to zooplankton grazing, play an important role modulating the seasonal biomass patterns of the nanophytoplankton and 25 diatoms. Our analysis further shows that the dominant physical process influencing the net phytoplankton growth is horizontal advection in the northern shelf, and vertical diffusion in the deep GoM. This study highlights the importance of representing small and large size plankton dynamics to describe primary production patterns, and emphases the needs for an integrated analysis of biologically and physically driven biomass fluxes to better understand phytoplankton biomass phenologies in the GoM. 30Biogeosciences Discuss., https://doi

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“…The mean annual rainfall in the UGRB exceeds 2 m. The high rates of rainfall in this region influence the water discharge around the basin producing large water and sediment discharge rates (Hudson et al , ; Muñoz‐Salinas and Castillo, ). Nevertheless, the spatial distribution of rainfall is highly variable in the UGRB.…”

Section: Study Areamentioning

confidence: 99%

Using three different approaches of OSL for the study of young fluvial sediments at the coastal plain of the Usumacinta–Grijalva River Basin, southern Mexico

Muñoz‐Salinas

Castillo

Sanderson

et al. 2016

Earth Surf Processes Landf

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We use three different approaches of optically stimulated luminescence (OSL) to study young fluvial sediments located at the main channels of one of the largest fluvial systems of North America: the Usumacinta–Grijalva. We use the pulsed photo‐stimulated luminescence (PPSL) system also known as portable OSL reader, full OSL dating and profiling OSL dating in samples extracted from vertical sediment profiles (n = 9) of riverbanks to detect changes in depositional rates of sediments and to obtain the age of the deposits. The results of the PPSL system show that the luminescence signals of vertical sediment profiles highly scattered from the top to the bottom contrast with the luminescence pattern observed on well‐reset sequences of fluvial deposits where luminescence increase from the top to the bottom of the profile. The profiling and full OSL ages yielded large uncertainty values on their ages. Based on the inconsistencies observed in both ages and luminescence patterns of profiles we suggest that these fluvial deposits were not fully reset during their transport. As an explanation, we propose that in the Usumacinta and Grijalva rivers the cyclonic storms during the wet season promote the entrainment of large volumes of sediments due to high‐erosional episodes around the basin resulting from hyper‐concentrated and turbid flows. We conclude that the PPSL, profiling and full OSL dating of sediments are useful tools to quantify and to assess the depositional patterns in fluvial settings during the Holocene. These techniques also can yield information about sites where increases in the sediment load of rivers may produce poorly resetting of grains affecting the results of OSL dating. Copyright © 2015 John Wiley & Sons, Ltd.

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Streamflow and sediment load assessment from 1950 to 2006 in the Usumacinta and Grijalva Rivers (Southern Mexico) and the influence of ENSO

Cited by 47 publications

References 35 publications

Seasonal patterns in phytoplankton biomass across the northern and deep Gulf of Mexico: a numerical model study

Seasonal patterns in phytoplankton biomass across the northern and deep Gulf of Mexico: a numerical model study

Seasonal Patterns in Phytoplankton Biomass across the Northern and Deep Gulf of Mexico: A Numerical Model Study

Using three different approaches of OSL for the study of young fluvial sediments at the coastal plain of the Usumacinta–Grijalva River Basin, southern Mexico

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