CHONOS: Oceanographic information website for Chilean Patagonia

Reche, Pablo; Artal, Osvaldo; Pinilla, Elías; Ruiz, Cristian Ramírez; Venegas, Oliver; Arriagada, Andrés; Falvey, Mark

doi:10.1016/j.ocecoaman.2021.105634

Cited by 12 publications

(2 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This resulted in an interpolated area of 2,711 km 2 (4.5% of the study area). The oceanographic and atmospheric forecast information are freely accessible from CHONOS (http://chonos.ifop.cl) (Reche et al, 2021). Environmental predictors were extracted from their respective raster layers and assigned to each one of the sampling segments using their midpoint.…”

Section: Environmental Predictorsmentioning

confidence: 99%

“…Such approaches are rare in the remote areas of developing countries, such as Chilean Patagonia. Nonetheless, recent spatially explicit data from oceanographic models have been developed and made available for the inner seas of this region (Reche et al, 2021; Ruiz et al, 2021), as well as high‐quality data on vessel traffic (Bedriñana‐Romano et al, 2021). This provides an opportunity to address distribution patterns and risk for poorly studied cetaceans inhabiting this biologically productive region, characterized by an intricate system of fjords and channels, for which satellite imagery data are extremely scarce.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

First estimate of distribution, abundance, and risk of encounter with aquaculture vessels for the rare Chilean dolphin in the entire Northern Chilean Patagonia

Bedriñana‐Romano,

Viddi,

Artal

et al. 2023

Aquatic Conservation

Self Cite

View full text Add to dashboard Cite

Assessing distribution and abundance patterns for rare species is challenging yet imperative, considering the extant, potentially hazardous, anthropogenic activities. In particular, the poorly studied Chilean dolphin (Cephalorhynchus eutropia) exhibits an extremely patchy distribution and low densities, co‐occurring with the intensive aquaculture industry in Southern Chile, among other anthropogenic activities. The distribution and abundance patterns of Chilean dolphins were assessed in the entire Northern Chilean Patagonia. A hierarchical species distribution model was fitted to data from line transect surveys using distance sampling techniques and environmental variables derived from topographic features and oceanographic models. A second version of this model used a joint‐likelihood approach to incorporate presence–pseudoabsence data for improving parameter estimation. Spatial predictions arising from these models were used to evaluate the relative probability of a dolphin encountering vessels from the local, predominantly aquaculture fleet. The results show that using a joint‐likelihood approach drastically reduced uncertainty in the parameters controlling the effect of covariates and in the total abundance estimates. This model estimated an overall low abundance (median 2,225.8; 95% CI 1,340–3,867) for this species in the region, and indicates their preference for shallow, sheltered bays and inner channels, near river mouths, where low salinity is expected. The highest probabilities of dolphin–vessel interactions were found on the eastern coast of Chiloe Big Island, coinciding with the largest number of aquaculture concessions in the area. Considering that the overall population of the Chilean dolphin is expected to be in the low thousands, that suitable habitat for the species is highly restricted, and that the species is facing increasing anthropogenic impacts, with some areas undergoing or planning major expansions in development, the results provided here should be considered in management plans for extant marine protected areas, and in the evaluation of current International Union for Conservation of Nature (IUCN) and national conservation categories for the species.

show abstract

Section: Environmental Predictorsmentioning

confidence: 99%