2019
DOI: 10.1029/2018gl080689
|View full text |Cite
|
Sign up to set email alerts
|

Contrasting ENSO Types With Satellite‐Derived Ocean Phytoplankton Biomass in the Tropical Pacific

Abstract: Observed variations in the tropical phytoplankton community structure and biogeochemical processes have been linked to the El Niño Southern Oscillation, a driver of large‐scale natural climate variability on interannual timescales. Satellite bio‐optical algorithms have allowed us to derive complex biological parameters from the surface ocean via remote sensing, providing a scientific platform to investigate biological relationships with climate indices. Studies have focused in‐depth on contrasting types of the… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
5
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(6 citation statements)
references
References 65 publications
1
5
0
Order By: Relevance
“…Apart from the coastal region, strong Chl-a variability can be observed in the equatorial western Pacific, i.e., the western part of the Niño 4 region (160°E-175°W, 5°S-5°N, red box in figure 1(a); defined as the Niño 4 W region thereafter), and a narrow band spanning the equatorial central-eastern Pacific. Similar patterns have also been found in previous studies either by using standard deviation maps [38] or empirical orthogonal functions (EOFs) [39]. Although the center of strong variability can be detected both in the eastern and western part of the equatorial Pacific, their climatological background is rather different (figure 1(a); contour lines).…”
Section: Phytoplankton Blooms During 'Double-dip' La Niña Eventssupporting
confidence: 86%
“…Apart from the coastal region, strong Chl-a variability can be observed in the equatorial western Pacific, i.e., the western part of the Niño 4 region (160°E-175°W, 5°S-5°N, red box in figure 1(a); defined as the Niño 4 W region thereafter), and a narrow band spanning the equatorial central-eastern Pacific. Similar patterns have also been found in previous studies either by using standard deviation maps [38] or empirical orthogonal functions (EOFs) [39]. Although the center of strong variability can be detected both in the eastern and western part of the equatorial Pacific, their climatological background is rather different (figure 1(a); contour lines).…”
Section: Phytoplankton Blooms During 'Double-dip' La Niña Eventssupporting
confidence: 86%
“…By contrast, during La Niña events, high Chl-a and high phytoplankton biomass are observed due to the steepening of the basin gradient of the thermocline and nutricline across the tropical Pacific. This promotes the upwelling of water with high nitrate and iron concentrations into the euphotic layer in the eastern Pacific and, therefore, higher phytoplankton growth [22,24,25]. The ENSO effects are also reported for coral reefs in the tropics, which exhibit patterns of recovery and resilience in the ETP, except under extreme temperature events [26].…”
Section: Introductionmentioning
confidence: 82%
“…However, we could not test these assumptions, and they should be explored in future work, preferably through determining biomass-specific carbon fixation rates under different temperatures (as the independent variable) and nutrient supply conditions. Moreover, considering that (i) variations in the tropical phytoplankton community structure are strongly linked to ENSO events, and (ii) the use of Chl-a data alone causes bias in the estimation of phytoplankton biomass, which can be misleading when the relationships between physical drivers and phytoplankton growth are evaluated [24,69].…”
Section: Marchmentioning
confidence: 99%
See 1 more Smart Citation
“…El Niño decreases BET:SKJ catch ratios east of ∼170°E and increases ratios west of ∼170°E, while La Niña acts in the opposite direction (Fig 4c-d; Fig 5c). The effects of El Niño and La Niña on BET:SKJ catch ratios thus oppose one another in the WTP, as is also the case for temperature, dissolved oxygen content, primary productivity, and other environmental variables (e.g., [25,53,54]).…”
Section: Resultsmentioning
confidence: 93%