Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Rodrigo M. Montes"'
Publikováno v:
Royal Society Open Science, Vol 10, Iss 7 (2023)
Causality detection methods are valuable tools for detecting causal links in complex systems. The efficiency of continuity scaling (CS) and the convergent cross sorting (CSS) methods to detect causality was analysed. Usefulness and limitations of bot
Externí odkaz:
https://doaj.org/article/0f61fada52e142228fa66b0af7b361e6
Publikováno v:
Frontiers in Marine Science, Vol 9 (2022)
River runoff to the coastal zone is one of the most important environmental variables that influences the structure and functioning of the neritic trophic web and modulates temporal fluctuations of coastal fishery production in many ecosystems worldw
Externí odkaz:
https://doaj.org/article/e2969adc48f44fbeb59aa11a5215d896
Publikováno v:
Reviews in Aquaculture. 11:375-402
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8955d055c18f05302c02499cc68ed9c
https://doi.org/10.1111/raq.12337
https://doi.org/10.1111/raq.12337
Publikováno v:
Aquaculture. 546:737246
Sea louse infestations are threatening the sustainability of the salmon farm industry worldwide; the southern marine ecosystem of Chile is one of the most affected areas. A highly infested management area located in the Los Lagos Region (42.5°S) has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00f99b4bf8ad295de4f8ef1edb76d34f
https://doi.org/10.1016/j.aquaculture.2021.737246
https://doi.org/10.1016/j.aquaculture.2021.737246
Autor:
Marcus Sobarzo, Renato A. Quiñones, Carmen E. Morales, Bárbara Jacob, Giovanni Daneri, Wolfgang Schneider, Fabián J. Tapia, Paulina Montero, Humberto E. González, Rodrigo M. Montes
Publikováno v:
Progress in Oceanography. 168:196-209
Ongoing global warming caused by climate change has been suggested to produce an intensification of upwelling-favorable winds along the coast of south-central Chile due to a poleward displacement of the South Pacific Anticyclone (SPA). Here we explor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70916d1d6b8889bd41cf729890a741db
https://doi.org/10.1016/j.pocean.2018.10.001
https://doi.org/10.1016/j.pocean.2018.10.001
Publikováno v:
Harmful Algae. 77:55-65
Harmful algal blooms (HABs) have affected salmon farms in Chile since the early 1970's, causing massive losses in fish. Two large HABs occurred in 2002 and 2009, during which Alexandrium catenella blooms killed tons of salmon over an extended geograp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14e64a5e96d7f9e693df8342452ff94c
https://doi.org/10.1016/j.hal.2018.05.004
https://doi.org/10.1016/j.hal.2018.05.004
Autor:
Renato A. Quiñones, Rodrigo M. Montes
Publikováno v:
New Zealand Journal of Marine and Freshwater Research. 52:264-283
The Baker River is the largest free-flowing river in Chilean Patagonia. Long-range dependence (LRD), a recognised hydrological property of river runoff worldwide, was detected for the Baker River runoff time series. Analyses were conducted on a month
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b204c665fc6ab7f960eb32821ee08225
https://doi.org/10.1080/00288330.2017.1383278
https://doi.org/10.1080/00288330.2017.1383278
Publikováno v:
Aquaculture. 526:735367
This paper presents a numerical study to assess the hydrodynamic effects of different levels of biofouling in fish cage aquaculture netting. The methodology adopted includes high resolution Large Eddy Simulation (LES) coupled to a regional model impl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df4e752d0635ff1b02aea6ead187a4bb
https://doi.org/10.1016/j.aquaculture.2020.735367
https://doi.org/10.1016/j.aquaculture.2020.735367
Publikováno v:
Canadian Journal of Fisheries and Aquatic Sciences. 69:398-413
There is an urgent need for indicators that anticipate changes in populations of exploited marine species. We modelled the complex patterns of variability found in fisheries time series that are not detected using classical models. We applied fractal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21ca5aadcb49a3cd1e76d3a7104b82bb
https://doi.org/10.1139/f2011-156
https://doi.org/10.1139/f2011-156