Biohydro-optical classification of the northwestern Indian Ocean

Brock, John C.; Sathyendranath, Shubha; Platt, Trevor

doi:10.3354/meps165001

Cited by 15 publications

(12 citation statements)

References 51 publications

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“…In this sense, the Brock et al (1998) work is similar to ours, though there are differences in the details of the implementation. For example, we use SST along with ocean colour and bathymetry data to disseminate between provinces, unlike Brock et al (1998) who only use ocean colour.…”

Section: It Was Found That If the In Situsupporting

confidence: 59%

“…This is a major difference to the work done by Longhurst et al (1995) where, although the need for dynamic boundaries was recognised, their implementation did not allow it. Brock et al (1998) use surface biomass concentrations to classify biogeochernical provinces on the basis of light attenuation properties, so that the boundaries can be determined from remotely sensed ocean colour. In this sense, the Brock et al (1998) work is similar to ours, though there are differences in the details of the implementation.…”

Section: It Was Found That If the In Situmentioning

confidence: 99%

“…Brock et al (1998) use surface biomass concentrations to classify biogeochernical provinces on the basis of light attenuation properties, so that the boundaries can be determined from remotely sensed ocean colour. In this sense, the Brock et al (1998) work is similar to ours, though there are differences in the details of the implementation. For example, we use SST along with ocean colour and bathymetry data to disseminate between provinces, unlike Brock et al (1998) who only use ocean colour.…”

Section: It Was Found That If the In Situmentioning

confidence: 99%

“…Since the universal approach was unsatisfactory, the approach we took for the assignment of Gaussian function and P-I parameters was that of partitioning the northwest Indian Ocean into a suite of 'biogeochemical provinces' , Mueller & Lange 1989, Brock et al 1998), which formed a template upon which the parameters could be assigned. Biogeochemical provinces are based on the concept that rates of ecophysiological and biogeochemical processes (in particular the photosynthetic rate) are under physical control so that the ocean basin is partitioned by delineating those areas that have a common physical forcing .…”

Section: Protocol For the Assignment Of Parametersmentioning

confidence: 99%

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Modelling new production in the northwest Indian Ocean region

Watts¹,

Sathyendranath²,

Caverhill³

et al. 1999

Mar. Ecol. Prog. Ser.

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Oceanic new production is a potential avenue for the removal of atmospheric carbon dioxide to the deep abyss. The ability to estimate new production on large, ocean-basin scales has important implications for studies of the greenhouse effect. This paper describes the development of a method whlch will allow real-time estimates of new production on ocean-basin scales, given real-time data on ocean colour and sea-surface temperature from satellites. This study has concentrated on the northwest Indian Ocean region but the protocol developed could be geographically transportable. Results from a biogeochernical study carried out in the northwest Indian Ocean during a monsoon and an intermonsoon period in 1994 indicate that this region can be partitioned into 6 distinct provinces based on bathymetry, sea-surface temperature and chlorophyll measurements. Parameters that define the vertical structure in the biomass profile and the photosynthesis-light curve have been established for each province and these, in combination with archived satellite data, are used to compute the primary production for each province using an established light-dependent model. From our empirically derived relationship between the f-ratio and primary production, new production for the northwest Indian Ocean over these 2 different seasons is computed.

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Section: It Was Found That If the In Situsupporting

confidence: 59%

Section: It Was Found That If the In Situmentioning

confidence: 99%

Section: It Was Found That If the In Situmentioning

confidence: 99%

Section: Protocol For the Assignment Of Parametersmentioning

confidence: 99%

See 2 more Smart Citations

Modelling new production in the northwest Indian Ocean region

Watts¹,

Sathyendranath²,

Caverhill³

et al. 1999

Mar. Ecol. Prog. Ser.

Self Cite

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“…They are a common feature and one of the most striking characteristics of nutrientpoor waters, such as central ocean gyres and clearwater lakes (5,6), and occur to depths of Ϸ120 m. Although cell-specific chlorophyll contents have been observed to increase with depth, DCM typically represent biomass maxima and often constitute a substantial proportion of the phototrophic biomass (7)(8)(9)(10)(11)(12). The formation of DCM has traditionally been interpreted from a bottom-up perspective by enhanced nutrient availability at depth (13)(14)(15)(16)(17).…”

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confidence: 99%

Mixotrophs combine resource use to outcompete specialists: Implications for aquatic food webs

Tittel

Bissinger

Zippel

et al. 2003

Proc. Natl. Acad. Sci. U.S.A.

184

169

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The majority of organisms can be grouped into those relying solely on photosynthesis (phototrophy) or those relying solely on the assimilation of organic substances (heterotrophy) to meet their requirements for energy and carbon. However, a special life history trait exists in which organisms combine both phototrophy and heterotrophy. Such ''mixotrophy'' is a widespread phenomenon in aquatic habitats and is observed in many protozoan and metazoan organisms. The strategy requires investment in both photosynthetic and heterotrophic cellular apparatus, and the benefits must outweigh these costs. In accordance with mechanistic resource competition theory, laboratory experiments revealed that pigmented mixotrophs combined light, mineral nutrients, and prey as substitutable resources. Thereby, they reduced prey abundance below the critical food concentration of competing specialist grazers [Rothhaupt, K. O. (1996) Ecology 77, 716 -724]. Here, we demonstrate the important consequences of this strategy for an aquatic community. In the illuminated surface strata of a lake, mixotrophs reduced prey abundance steeply. The data suggest that, as a consequence, grazers from higher trophic levels, consuming both the mixotrophs and their prey, could not persist. Thus, the mixotrophs escaped from competition with and losses to higher grazers. Furthermore, the mixotrophs structured prey abundance along the vertical light gradient, creating low densities near the surface and a pronounced maximum of their algal prey at depth. Such deep algal accumulations are typical features of nutrient-poor aquatic habitats, previously explained by resource availability. We hypothesize instead that the mixotrophic grazing strategy is responsible for deep algal accumulations in many aquatic environments.

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Ocean biology from space

Robinson

2010

Discovering the Ocean From Space

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Biohydro-optical classification of the northwestern Indian Ocean

Cited by 15 publications

References 51 publications

Modelling new production in the northwest Indian Ocean region

Modelling new production in the northwest Indian Ocean region

Mixotrophs combine resource use to outcompete specialists: Implications for aquatic food webs

Ocean biology from space

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