Climate variability and pelagic fisheries in northern Chile

Yáñez, Eleuterio; Barbieri, María Ángela; Silva, Claudio; Nieto, Karen; Espíndola, Fernando

doi:10.1016/s0079-6611(01)00042-8

Cited by 70 publications

(61 citation statements)

References 6 publications

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“…By contrast, stronger upwelling may increase nutrient input, but at the same time increase offshore transport (Cury and Roy, 1989;Botsford et al, 2006;Bakun et al, 2010Bakun et al, , 2015. Other impacts include increased turbulence with increased winds (Cury and Roy, 1989;Yáñez et al, 2001) and changes in chemical mechanisms, e.g., ocean acidification and deoxygenation (Gruber, 2011;Doney et al, 2012), that may affect productivity.…”

Section: Benguelamentioning

confidence: 99%

Under Pressure: Climate Change, Upwelling, and Eastern Boundary Upwelling Ecosystems

et al. 2015

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The IPCC AR5 provided an overview of the likely effects of climate change on Eastern Boundary Upwelling Systems (EBUS), stimulating increased interest in research examining the issue. We use these recent studies to develop a new synthesis describing climate change impacts on EBUS. We find that model and observational data suggest coastal upwelling-favorable winds in poleward portions of EBUS have intensified and will continue to do so in the future. Although evidence is weak in data that are presently available, future projections show that this pattern might be driven by changes in the positioning of the oceanic high-pressure systems rather than by deepening of the continental low-pressure systems, as previously proposed. There is low confidence regarding the future effects of climate change on coastal temperatures and biogeochemistry due to uncertainty in the countervailing responses to increasing upwelling and coastal warming, the latter of which could increase thermal stratification and render upwelling less effective in lifting nutrient-rich deep waters into the photic zone. Although predictions of ecosystem responses are uncertain, EBUS experience considerable natural variability and may be inherently resilient. However, multi-trophic level, end-to-end (i.e., "winds to whales") studies are needed to resolve the resilience of EBUS to climate change, especially their response to long-term trends or extremes that exceed pre-industrial ranges.

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Section: Benguelamentioning

confidence: 99%

Under Pressure: Climate Change, Upwelling, and Eastern Boundary Upwelling Ecosystems

et al. 2015

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“…This study area is influenced by the Humboldt Current System and is part of a highly productive marine ecosystem due to the transport of nutrients by large-scale horizontal advection and persistent coastal upwelling. In this area, the fishery is based successively on anchovy and sardine, and these noticeable changes in the type of fish caught are a result of changes in fishing effort and environmental fluctuations (Yáñez et al, 2001(Yáñez et al, , 2008. Ocean climate changes have been related to alterations in the marine ecosystems on several spatial temporal scales (Chavez et al, 2003;Yáñez et al, 2003;Alheit & Ñiquen, 2004).…”

Section: Eaf Case Study: Prediction Of Environmental Variability Effementioning

confidence: 99%

Using indicators and models for an ecosystem approach to fisheries and aquaculture management: the anchovy fishery and Pacific oyster culture in Chile: case studies

Silva¹,

Barbieri²,

Yáñez³

et al. 2012

lajar

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ABSTRACT. This study illustrate the use of indicators and models to support the Ecosystem Approach to Fisheries and Aquaculture management using two case studies in Chile: prediction of environmental variability effects upon anchovy (Engraulis ringens) fishery of northern Chile and prediction of suitable sites and carrying capacity of Pacific oyster (Crassostrea gigas) culture using FARM and geographic information system (GIS) models in the Valdivia estuary. A three stage approach was applied: Stage 1 considers spatiotemporal ecosystem indicators (fisheries, aquaculture, environmental, and regulatory), Stage 2 uses statistical relationships between indicators, GIS, and other simulation models (e.g., artificial neural networks and FARM) of environment-resources interaction, and Stage 3 is the analysis and validation of models outputs. The methodology illustrates how indicators and models may be used to assist decision-makers in developing an ecosystem approach to fisheries and aquaculture. The application of these approaches provides an integrative methodology for abundance prediction of anchovy and site selection for shellfish aquaculture, despite limitations in the available data.

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“…Studies regarding how environmental conditions influence distribution and abundance of small pelagics pointed out that temperature could be an important factor (Yáñez et al, 2001;Beare et al, 2004) but salinity (Regner, 1996), currents (Nishimoto and Washburn, 2002), wind as an upwelling driving force (Cole, 1999) and eventually lunar effects (Agenbag et al, 2003) could play some roles in driving aggregation. Understanding how the environment influences fish distribution is complicated.…”

Section: Discussionmentioning

confidence: 99%

An observing system for the collection of fishery and oceanographic data

et al. 2007

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Abstract. Fishery Observing System (FOS) was developed as a first and basic step towards fish stock abundance nowcasting/forecasting within the framework of the EU research program Mediterranean Forecasting System: Toward an Environmental Prediction (MFSTEP). The study of the relationship between abundance and environmental parameters also represents a crucial point towards forecasting. Eight fishing vessels were progressively equipped with FOS instrumentation to collect fishery and oceanographic data. The vessels belonged to different harbours of the Central and Northern Adriatic Sea. For this pilot application, anchovy (Engraulis encrasicolus, L.) was chosen as the target species. Geo-referenced catch data, associated with in-situ temperature and depth, were the FOS products but other parameters were associated with catch data as well. MFSTEP numerical circulation models provide many of these data. In particular, salinity was extracted from re-analysis data of numerical circulation models. Satellite-derived sea surface temperature (SST) and chlorophyll were also used as independent variables. Catch and effort data were used to estimate an abundance index (CPUE -Catch per Unit of Effort). Considering that catch records were gathered by different fishing vessels with different technical characteristics and operating on different fish densities, a standardized value of CPUE was calculated. A spatial and temporal average CPUE map was obtained together with a monthly mean time series in order to characterise the variability of anchovy abundance during the period of observation (October 2003-August 2005. In order to study the relationship between abundance and oceanographic parameters, Generalized Additive Models (GAM) were used. Preliminary results revealed a complex scenario: the southern sector of the domain is characterised by a stronger relationship than the central and northern sector where the interactions between the environment and the anCorrespondence to: P. Falco (p.falco@ismar.cnr.it) chovy distribution are hidden by a higher percentage of variability within the system which is still unexplained.GAM analysis showed that increasing the number of explanatory variables also increased the portion of variance explained by the model. Data exchange and interdisciplinary efforts will therefore be crucial for the success of this research activity.

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Climate variability and pelagic fisheries in northern Chile

Cited by 70 publications

References 6 publications

Under Pressure: Climate Change, Upwelling, and Eastern Boundary Upwelling Ecosystems

Under Pressure: Climate Change, Upwelling, and Eastern Boundary Upwelling Ecosystems

Using indicators and models for an ecosystem approach to fisheries and aquaculture management: the anchovy fishery and Pacific oyster culture in Chile: case studies

An observing system for the collection of fishery and oceanographic data

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