Assessment of remotely-sensed sea-surface temperature and chlorophyll-a concentration in San Matías Gulf (Patagonia, Argentina)

Williams, Gabriela Noemí; Dogliotti, Ana Inés; Zaidman, Paula C.; Solis, Miriam Edith; Narvarte, Maite Andrea; González, Raúl; Esteves, José Luís; Gagliardini, Domingo A.

doi:10.1016/j.csr.2012.08.014

Cited by 47 publications

(52 citation statements)

References 44 publications

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“…However, most studies focused on the temporal variability of chlorophyll-a, with low spatial resolution, in the Patagonian shelf [33][34][35], as well as in the continental shelf region [36][37][38]. Other studies compared in situ and satellite estimates of chlorophyll-a obtaining reasonable results [39][40][41][42]. Dogliotti et al [43], based on satellite estimations from the SeaWiFS sensor, evaluated the chl-a dynamics in the north-Patagonian coastal zone (over 47°S), and found relatively high values and low seasonal variability.…”

Section: Introductionmentioning

confidence: 99%

Seasonal and Inter-Annual Analysis of Chlorophyll-a and Inherent Optical Properties from Satellite Observations in the Inner and Mid-Shelves of the South of Buenos Aires Province (Argentina)

et al. 2015

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Abstract:The aim of this study is to describe and understand the seasonal and inter-annual physical and biological dynamics of the inner and mid shelves of the Southwestern Buenos Aires Province (Argentina). We used chlorophyll-a (chl-a) concentrations and inherent optical properties (IOPs), derived from ocean color products between 2002 and 2010, as a proxy for the physical and biological parameters of interest. This study focuses on the absorption by phytoplankton, aph(443), particulate backscattering, bbp(443), and absorption due to dissolved and particulate detrital matter, adg (443), and chl-a derived from a multiband quasi-analytical algorithm (QAA). A regionalization based on the coefficient of variation and the Census X-11 method were applied to define regions and to analyze the inter-annual and seasonal variability of the ocean color parameters, with regards to climate OPEN ACCESSRemote Sens. 2015, 7 11822 variability. The coastal zone presents the highest values of chl-a with two maxima in winter and autumn, while the mid-shelf shows a strong spring chl-a maximum. After 2009, all parameters under study shifted their seasonality and their magnitude changed over the entire area. In the coastal zone, mean values of aph(443) and bbp(443) increased, while in the mid-shelf, chl-a and aph(443) decreased. The observed inter-annual and seasonal behavior of the parameters is tightly related to climate variability of the study area.

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Section: Introductionmentioning

confidence: 99%

Seasonal and Inter-Annual Analysis of Chlorophyll-a and Inherent Optical Properties from Satellite Observations in the Inner and Mid-Shelves of the South of Buenos Aires Province (Argentina)

et al. 2015

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“…As a result, many processed RS products apply a land mask that excludes mixed pixels in nearshore areas and use temporal averaging to account for missing observations. Previously published studies comparing in situ water temperature measurement in coastal waters suggest significant differences in agreement among RS SST products across geographical regions (Castillo and Lima, 2010;Smit et al, 2013;Williams et al, 2013;Stobart et al, 2015;Wu et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Comparison of Remotely-Sensed Sea Surface Temperature and Salinity Products With in Situ Measurements From British Columbia, Canada

et al. 2018

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Sea surface temperature (SST) and salinity (SSS) are essential variables at the ocean and atmosphere interface when considering risk factors for disease in farmed and wild fish stocks. Ecological research has witnessed a recent trend in use of digital and satellite technologies, including remote-sensing tools. We explored spatial coverage of remotely-sensed SST and SSS data and compared them with in situ measurements of water temperatures and salinity, which led to suggested adjustments to the remotely-sensed data for its use in aquaculture research. The in situ data were from farms and wild surveillance sites in coastal British Columbia, Canada, from 2003 to 2016. Concurrent SST and SSS values were extracted from remotely-sensed products and compared with 20,513 and 20,038 in situ records for water temperature and salinity, respectively, from 232 different sites. Among nine SST products evaluated, the UKMO OSTIA SST (UK Meteorological Office) had the highest retrieval, and highest concordance correlation coefficient (0.86), highest index of agreement (0.93), fewest missing values, and smallest mean and SD values for bias, when compared to in situ measurements. A mixed linear regression model with UKMO OSTIA SST as the predictor for in situ measurements estimated an adjustment coefficient of 0.89 • C for UKMO OSTIA SST. None of the three SSS products evaluated provided appropriate corresponding values for in situ sites, suggesting that spatial coverage for the study area is currently lacking. This study demonstrates that, among SST products, UKMO OSTIA SST is currently best suited for aquaculture studies in coastal BC. The near real-time availability of these data with the estimated adjustment would allow their use in forecast models, surveillance of pathogens, and the creation of risk maps.

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“…Molting probability is highly temperature dependent, with increased water temperature being associated with a higher rate of molting (Templeman 1936;McLeese 1956;Schmalenbach and Buchholz 2013), and thus a higher probability that a captured lobster will have a soft shell. We used SST in the present study as a surrogate for water temperature, as studies comparing remote-sensed SSTs with in-situ records have suggested a high level of agreement between the two (Castillo and Lima 2010;Williams et al 2013). …”

Section: Discussionmentioning

confidence: 99%

Risk factors associated with soft-shelled lobsters (Homarus americanus) in southwestern Nova Scotia, Canada

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et al. 2017

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Soft-shelled lobsters pose economic challenges to the lobster industry due to low meat yields and survivability during holding and transportation. Our objectives were to describe spatio-temporal patterns of soft-shelled lobsters in southwestern Nova Scotia, and identify environmental and lobster-related factors associated with shell quality. We analyzed data obtained from a broad-scale, intensive monitoring project and remotely sensed water temperatures. Mixed-effect logistic regression and linear regression methods analyzed more than 130 000 samples collected between 2004 and 2014. The annual overall prevalence of soft-shelled lobsters ranged from 9% to 38% and varied significantly among fishing areas. Shell quality was influenced by sex and size, and in the 2 months before the fishing season, lower water temperatures (4-6 weeks prior to sampling) were associated with reduced prevalence of soft-shells. High annual variability of soft-shell prevalence, that water temperature alone could not explain, suggests that adjusting fishing seasons, arbitrarily, in two fishing areas will not improve the overall shell quality of landed lobsters. Further research is needed to evaluate the effects of long-term temperature and ecosystem changes on lobster health in eastern Canada.

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Assessment of remotely-sensed sea-surface temperature and chlorophyll-a concentration in San Matías Gulf (Patagonia, Argentina)

Cited by 47 publications

References 44 publications

Seasonal and Inter-Annual Analysis of Chlorophyll-a and Inherent Optical Properties from Satellite Observations in the Inner and Mid-Shelves of the South of Buenos Aires Province (Argentina)

Seasonal and Inter-Annual Analysis of Chlorophyll-a and Inherent Optical Properties from Satellite Observations in the Inner and Mid-Shelves of the South of Buenos Aires Province (Argentina)

Comparison of Remotely-Sensed Sea Surface Temperature and Salinity Products With in Situ Measurements From British Columbia, Canada

Risk factors associated with soft-shelled lobsters (Homarus americanus) in southwestern Nova Scotia, Canada

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