Comparison of AVHRR and SeaWiFS imagery with fishing activity and <i>in situ</i> data in San Matías Gulf, Argentina

Williams, Gabriela Noemí; Sapoznik, M.; Reinaldo, Matías Ocampo; Solis, Miriam Edith; Narvarte, Maite Andrea; González, Raúl; Esteves, José Luís; Gagliardini, Domingo A.

doi:10.1080/01431161.2010.485218

Cited by 35 publications

(37 citation statements)

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“…Los trabajos realizados se han enfocado en la relación de la temperatura superficial del mar (TSM) con la caracterización ecológica y ambiental de mares y océanos (Guerrero y Piola, 1997;Lee et al, 2005;Hosoda et al, 2007;Santos, 2000;Williams et al, 2010Williams et al, , 2013 utilizando datos in situ o satelitales. En este sentido, la teledetección de datos infrarrojos térmico ha demostrado ser una herramienta eficaz, para monitorear en el ambiente marino las variaciones de la TSM de manera sinóptica, continua y actualizada (Longhurst et al, 1995;IOCCG, 2000;Minnett et al, 2002, Behrenfeld et al, 2006Hosoda, et al, 2007;Wilson et al, 2008;Williams et al, 2010;Pisoni, 2012;Williams et al, 2013;Gentemann, 2014).…”

Section: Introductionunclassified

Caracterización espacio–temporal de la temperatura superficial del mar satelital en destinos turísticos: Partido de la Costa, Pinamar y Villa Gesell en Buenos Aires, Argentina

et al. 2017

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<p>The coastal spaces are fragile and complex areas that receive strong pressure because of the many uses and activities that are developed in them. The tourism of sun and beaches is one of the main economic practices present in these spaces that value the physical-natural conditions and their environmental variables. Of all of them, the sea surface temperature (SST) has been the least studied variable, especially associated to tourist destinations. The coastal zone of the province of Buenos Aires, Argentina, concentrates numerous tourist centers like the Partido de la Costa, Pinamar and Villa Gesell that attract in the summer time, a great flow of population. The objective of the present paper was to perform a descriptive and comparative analysis of SST in these parties through the use of monthly satellite images obtained by the Aqua-MODIS satellite-sensor during the period 2003-2013. The results showed a spatial and seasonal behavior of the SST differentiated for the entire study area. The SST for the warm period (January-March) ranged between 21.5 - 24.5°C and for the cold (July-September) between 9.4 - 11.5°C. This difference was lower in the cold period, allowing distinguishing 3 thermal zones with variations smaller than 0.5°C between them: Costa Norte, Costa Centro- Costa Sur, and Pinamar-Villa Gesell. The warm period presented more intense spatial thermal variations between the studied tourist destinations. Four thermal zones with 0.5°C differences were identified: Costa Norte, Costa Centro, Costa Sur, and Pinamar-Villa Gesell.</p>

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Section: Introductionunclassified

Caracterización espacio–temporal de la temperatura superficial del mar satelital en destinos turísticos: Partido de la Costa, Pinamar y Villa Gesell en Buenos Aires, Argentina

et al. 2017

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“…A seasonal pattern for common hake yields has been described in SMG where the highest values are present during the spring-summer months while a reduction of catch rates occur during the winter months (FLOWERS and ROA, 1975;WILLIAMS et al, 2010). Assessments of the fleet dynamics using satellital telemetry have shown that the fleet spread over relatively shallow areas in SMG during autumn and winter (WILLIAMS et al, 2010, ROMERO et al, 2013. This dispersion is due to the reduction of common hake yields which would motivate skippers to seek better catches in more coastal and shallow waters.…”

Section: Depth and Month Factorsmentioning

confidence: 99%

Standardized catch rate of cockfish, Callorhinchus callorynchus, in a bottom trawl fishery of Patagonia: Is it possible its use as a predictor of abundance trend?

2015

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Standardized catch rate of cockfish, Callorhinchus callorynchus, in a bottom trawl fishery of Patagonia: Is it possible its use as a predictor of abundance trend?The catch per unit of effort (CPUE) data of cockfish, Callorhinchus callorynchus, during 1986-2011 was evaluated for the bottom trawl fishery of the San Matías gulf (Patagonia, Argentina). The objective of this work was to detect what are the factors related to fishery dynamic that affect catch rate of cockfish and to assess standardized CPUE by General linear models (GLMs) and General linear mixed models (GLMMs) as a relative abundance index. The annual trend of the catch rate indicated an increase during the evaluated period. The nominal CPUE and the indices standardized by the Delta-GLM and Delta-GLMM showed the same annual trend, with increases of 57%, 61.1% and 60.7%, respectively. The LogNormal models have the best-fit model and explained 23.5% of the total variability. The factors year, month, depth and hake CPUE explained the highest variability. The analysis of the models indicated that the catch rate of cockfish is subject to the lack of an homogeneous distribution of the fishing effort during different years, months and vessels. This was related to the fleet dynamic searching the targets species. The increasing trend of CPUE and landings would be indicating an increase in effort directionality to the cockfish in the last decade. Descriptors: Standardized CPUE, Holocephali, Chondrichtyans bycatch, GLM, GLMM, Chimaeroids. AbstrActDados de captura por unidade de esforço (CPUE) do peixe-galo Callorhinchus callorynchus foram avaliados para a pesca de arrasto de fundo no Golfo de San Matías (Patagonia, Argentina), durante o período 1986-2011. Os objetivos do trabalho foram identificar quais os fatores relacionados à dinâmica pesqueira que afetam a taxa de captura do peixe-galo e verificar a viabilidade em utilizar dados de CPUEs padronizadas pelos Modelos Lineares Gerais (GLM) e Modelos Lineares Gerais Mistos (GLMMs) como índices de abundância relativa. A tendência anual da taxa de captura indicou um aumento durante o período avaliado. A CPUE nominal e os índices padronizados pelo Delta-GLM e Delta-GLMM apresentaram a mesma tendência anual, com aumentos de 57%, 61.1% e 60.7%, respectivamente. Os modelos LogNormal foram os de melhor ajuste e explicaram 23,5% da variabilidade total dos dados. Ano, mês, profundidade e "hake" CPUE foram os fatores mais explicativos. A análise dos modelos indicou que a taxa de captura do peixe-galo está ligada à falta de distribuição homogênea do esforço de pesca durante os diferentes anos, meses e navios. Este fato esteve relacionado à dinâmica das frotas na busca das espécies alvo. A tendência crescente no aumento das CPUE e descargas em terra estaria indicando a mudança do esforço de pesca direcionado ao peixe-galo na última década.

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“…Remote sensing methods in particular are an efficient way of improving the knowledge of the environmental conditions of fisheries ecosystems Romero et al, 2013). Even though these methods have been used in SMG with increasing success to confirm previous oceanographic findings (Gagliardini & Rivas, 2004;Williams et al, 2010), satellite data have still not been compared with in situ records.…”

Section: Introductionmentioning

confidence: 99%

“…Maps of high temporal and spatial resolution of AVHRR-SST, together with the distribution of trawl fleets, suggested that the seasonality of the thermal front would be one of the main factors conditioning the fisheries in SMG. The fishery production was higher in the presence of the thermal front, showing the biological relevance of this oceanographic structure (Williams et al, 2010). Thus, the spatial and temporal patterns of water temperature are very important for studying physical and biological conditions, and for a sustainable management of fisheries and aquaculture (Santos, 2000).…”

Section: Introductionmentioning

confidence: 99%

“…These studies showed the presence of two distinct areas from November to March: the northern and western areas with relatively high temperature and salinity, a marked thermocline, limited concentrations of nitrate and a low renewal rate; and the southern and south-eastern areas, strongly influenced by the intrusion of water from the south (Carreto et al, 1974a(Carreto et al, , 1974bRivas & Beier, 1990;Williams, 2004;Williams et al, 2010), with lower temperature and salinity, no stratification and relatively higher nitrate concentrations. used hydrographic data to describe a thermal front located around 41°50'S, which separates these two areas during the austral summer (red dashed line in Fig.…”

Section: Introductionmentioning

confidence: 99%

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Comparison between remotely sensed sea surface temperature (AVHRR) and in situ records in San Matias Gulf, Patagonia, Argentina

Williams¹,

Zaidman²,

Glembocki³

et al. 2014

lajar

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ABSTRACT.In situ records of sea surface temperature collected between 2005 and 2009 were used to compare, for the first time, the temperature estimated by the Multichannel algorithms (MCSST) of the Advanced Very High Resolution Radiometer (AVHRR) sensors in San Matías Gulf, in the north of the Argentinean Patagonian Continental Shelf (between 40º47'-42º13'S). Match-ups between in situ records and satellite sea surface temperature (SST) were analyzed. In situ records came from fixed stations and oceanographic cruises, while satellite data came from different NOAA satellites. The fitting of temperature data to a Standard Major Axis (SMA) type II regression model indicated that a high proportion of the total variance (0.53≤ r 2 ≤0.99) was explained by this model showing a high correlation between in situ data and satellite estimations. The mean differences between satellite and in situ data for the full data set were 1.64 ± 1.49ºC. Looking separately into in situ data from different sources and day and night estimates from different NOAA satellites, the differences were between 0.30 ± 0.60°C and 2.60 ± 1.50°C. In this paper we discuss possible reasons for the above-mentioned performance of the MCSST algorithms in the study area.

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Comparison of AVHRR and SeaWiFS imagery with fishing activity and in situ data in San Matías Gulf, Argentina

Cited by 35 publications

References 10 publications

Caracterización espacio–temporal de la temperatura superficial del mar satelital en destinos turísticos: Partido de la Costa, Pinamar y Villa Gesell en Buenos Aires, Argentina

Caracterización espacio–temporal de la temperatura superficial del mar satelital en destinos turísticos: Partido de la Costa, Pinamar y Villa Gesell en Buenos Aires, Argentina

Standardized catch rate of cockfish, Callorhinchus callorynchus, in a bottom trawl fishery of Patagonia: Is it possible its use as a predictor of abundance trend?

Comparison between remotely sensed sea surface temperature (AVHRR) and in situ records in San Matias Gulf, Patagonia, Argentina

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