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 10 publications

(7 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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“…On the other hand, some species, as coastal temperate fish larvae that hatch and are dispersed in the sea, recruit into estuarine nursery ecosystems (i.e. coastal lagoons and estuaries) for various benefits: 1) to obtain supplement resources to maximize their fitness (Chícharo et al, 2012), 2) to find refuge from predators (physical protection in seagrasses, wetlands, oyster reefs; or using turbid waters for visual protection), 3) to access adequate settlement habitats (Barbosa and Chícharo, 2011), and, 4) to seek warmer waters to speed up larval development (Morais, 2007).…”

Section: Introductionmentioning

confidence: 99%

Biophysical processes leading to the ingress of temperate fish larvae into estuarine nursery areas: A review

Teodósio

Paris

Wolanski

et al. 2016

Estuarine, Coastal and Shelf Science

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During the last 102 years, a series of complementary hypotheses have been proposed to explain the recruitment of marine and temperate pelagic fish larvae originated from pelagic eggs in coastal environments. In this review, we propose a new and complementary hypothesis describing the biophysical processes intervening in the recruitment of temperate fish larvae into estuaries. This new hypothesis, the Sense Acuity And Behavioral (SAAB) hypothesis, recognizes that recruitment is unlikely if the larvae drift passively with the water currents, and that successful recruitment requires the sense acuity of temperate fish larvae and their behavioral response to the estuarine cues present in coastal areas. We propose that temperate fish larvae use a hierarchy of sensory cues (odor, sound, visual and geomagnetic cues) to detect estuarine nursery areas and to aid during navigation towards these areas. The sensorial acuity increases along ontogeny, which coincides with increased swimming capabilities. The swimming strategies of post-flexion larvae differ from offshore areas to the tidal zone. In offshore areas, innate behavior might lead larvae towards the coast guided by a sun compass or by the earth's geomagnetic field. In areas under limited influenced of estuarine plumes (either in energetic nearshore areas or offshore), post-flexion larvae display a searching swimming behavior for estuarine disconnected patches (infotaxis strategy). After finding an estuarine plume, larvae may swim straightforward along the increasing cue concentration gradient to ingress into the estuary. Here, larvae exhibit a rheotaxis behavior and avoid displacement by longshore currents by keeping bearing during navigation. When larvae reach the vicinities of an estuary, merging diel rhythms with feeding and predator avoidance strategies with tidally induced movements is essential to increase their chances of 3 estuarine ingress. A fish larva recruitment model developed for the Ria Formosa lagoon supports the general framework of the SAAB hypothesis. In this model, the ingress of an hypothetic Sparidae temperate larvae into this nursery area increases from 1.5% to 32.1% when directional swimming guided by estuarine cues is included as a forcing parameter.

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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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Hydrology and Biota Interactions as Driving Forces for Ecosystem Functioning

Cited by 10 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

Biophysical processes leading to the ingress of temperate fish larvae into estuarine nursery areas: A review

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

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