Hydrology and Biota Interactions as Driving Forces for Ecosystem Functioning

Barbosa, Ana B.; Chı́charo, Maria Alexandra

doi:10.1016/b978-0-12-374711-2.01002-0

Cited by 12 publications

(10 citation statements)

References 347 publications

(573 reference statements)

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“…Mechanisms underlying the positive effects of riverine discharge include its influence as a nutrient source (Cravo et al, 2006;Reul et al, 2006), and its role as a promoter of water column stratification. Despite high turbidity (Caballero et al, 2014), due to salinity stratification, MLD shoaling could be anticipated within the area of influence of riverine plumes (Barbosa and Chícharo, 2011), thereby enabling earlier bloom initiation, in respect with the Coastal-Slope phenoregion.…”

Section: Phytoplankton Phenological Patterns Off Sw Iberiamentioning

confidence: 99%

Patterns and drivers of phytoplankton phenology off SW Iberia: A phenoregion based perspective

Krug

Platt

Sathyendranath

et al. 2018

Progress in Oceanography

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Phytoplankton patterns, tightly linked to the dynamics of the ocean surface layer and its atmospheric forcing, have major impacts on ecosystem functioning and are valuable indicators of its response to environmental variability and change. Phytoplankton phenology and its underlying drivers are spatially variable, and the study of its patterns, particularly over heterogeneous regions, benefits from a delineation of regions with specific phenological properties, or phenoregions. The area Southwest off the Iberian Peninsula (SWIP, NE Atlantic) integrates a highly complex set of coastal and ocean domains that collectively challenge the understanding of regional phytoplankton phenology and related forcing mechanisms. This study aims to evaluate phytoplankton phenology patterns over the SWIP area, during an 18year period (September 1997-August 2015), using an objective, unsupervised partition strategy (Hierarchical Agglomerative Clustering-HAC) based on phenological indices derived from satellite ocean colour data. The partition is then used to describe region-specific phytoplankton phenological patterns related to bloom magnitude, frequency, duration and timing. Region-specific variability patterns in phenological indices and their linkages with environmental determinants, including local ocean physical-chemical variables, hydrodynamic variables and large scale climate indices, were explored using Generalized Additive Models (GAM). HAC analyses identified five coherent phenoregions over SWIP, with distinctive phytoplankton phenological properties: two open ocean and three coastal regions. Over the open ocean, a single, low magnitude and long bloom event per year, was regularly observed. Coastal phenoregions exhibited up to six short bloom events per year, and higher intra-annual and variability. GAM models explained 50 to 90% of the variance of all phenological indices except bloom initiation timing, and revealed that interannual patterns in phytoplankton phenology and their environmental drivers varied markedly among the five phenoregions. Over the oceanic phenoregions, large-scale climate indices (Eastern Atlantic Pattern, Atlantic Meridional Oscillation), mixed layer depth (MLD) and nitrate concentration preceding primary bloom events were influential predictors, reflecting the relevance of nutrient limitation. For the Coastal-Slope, a relatively more light-limited phenoregion, North Atlantic Oscillation and wind speed were more relevant, and bloom magnitude was also positively influenced by riverine discharge. This variable was a significant predictor of bloom frequency, magnitude and duration over the Riverine-influenced region. Over the Upwelling-influenced region, upwelling intensity and mean annual MLD showed stronger partial effects on phytoplankton phenology. Overall, our phenology-based unsupervised approach produced a biologically-relevant SWIP partition, providing an evaluation of the complexity of interactions between phytoplankton and multiple environmental forcing, particularly over coastal areas.

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Section: Phytoplankton Phenological Patterns Off Sw Iberiamentioning

confidence: 99%

Patterns and drivers of phytoplankton phenology off SW Iberia: A phenoregion based perspective

Krug

Platt

Sathyendranath

et al. 2018

Progress in Oceanography

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“…Planktonic HABs, like all phytoplankton blooms, result from transient increases of algal abundance, during periods when instantaneous growth overcome mortality rates. Thus, both bottom-up controls, acting directly on phytoplankton growth rates (e.g., light, inorganic nutrients, turbulence), and top-down controls, acting directly on phytoplankton loss rates (e.g., grazing, advection), are potentially relevant environmental drivers of phytoplankton blooms (see review by Barbosa and Chícharo, 2011). In coastal systems, bottom-up and top-down controls of HABs are shaped by multiple forces, including localized anthropogenic, climatologic, hydrographic, and oceanographic processes, and large-scale climatic forces (Anderson et al, 2012;Wells et al, 2015Wells et al, , 2020Glibert, 2020;Trainer et al, 2020a).…”

Section: Introductionmentioning

confidence: 99%

Variability patterns and phenology of harmful phytoplankton blooms off southern Portugal: Looking for region-specific environmental drivers and predictors

2022

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“…Coastal lagoons are shallow nutrient-rich ecosystems, being a typically unstable environment threatened by climate changes and usually under intense anthropogenic pressures J o u r n a l P r e -p r o o f (Barbosa and Chícharo, 2011). Planktonic organisms respond rapidly to modifications in the environment, therefore are considered good indicators of environmental change in the ecosystems.…”

Section: Introductionmentioning

confidence: 99%

“…In this study, we aim to analyze the short-term variability of the mesozooplanktonic assemblage structure in a temperate coastal lagoon (Ria Formosa) during the peak production period that occurs during summer, which is typical of the unimodal annual cycle of planktonic production that occurs in the temperate coastal lagoons (Barbosa and Chícharo, 2011). For that, we J o u r n a l P r e -p r o o f investigate the correlation between the mesozooplankton dynamics and the environmental conditions (abiotic and biotic parameters).…”

Section: Introductionmentioning

confidence: 99%

Plankton community and copepod production in a temperate coastal lagoon: What is changing in a short temporal scale?

Cruz

Teodósio

Garrido

et al. 2020

Journal of Sea Research

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Hydrology and Biota Interactions as Driving Forces for Ecosystem Functioning

Cited by 12 publications

References 347 publications

Patterns and drivers of phytoplankton phenology off SW Iberia: A phenoregion based perspective

Patterns and drivers of phytoplankton phenology off SW Iberia: A phenoregion based perspective

Variability patterns and phenology of harmful phytoplankton blooms off southern Portugal: Looking for region-specific environmental drivers and predictors

Plankton community and copepod production in a temperate coastal lagoon: What is changing in a short temporal scale?

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