{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T13:16:10Z","timestamp":1771679770671,"version":"3.50.1"},"reference-count":27,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2019,11,5]],"date-time":"2019-11-05T00:00:00Z","timestamp":1572912000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100007776","name":"Pontificia Universidad Cat\u00f3lica de Valpara\u00edso","doi-asserted-by":"publisher","award":["2019"],"award-info":[{"award-number":["2019"]}],"id":[{"id":"10.13039\/501100007776","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Entropy"],"abstract":"<jats:p>It is well known that environmental fluctuations and fishing efforts modify fishing patterns in various parts of the world. One of the most affected areas is northern Chile. The reduction of the gaps in the implementation of national fisheries\u2019 management policies and the basic knowledge that supports the making of such decisions are crucial. That is why in this research, a transfer function method with variable coefficients is proposed to forecast monthly disembarkation of anchovies and sardines in northern Chile, taking into account the incidence of large-scale climatic variables on landings. The method uses a least squares procedure and wavelets to expand the coefficients of the transfer function. Linear estimators of the time varying coefficients are proposed, followed by a truncation of the wavelet expansion up to an appropriate scale. Finally, the estimators for the transfer function coefficients are obtained by using the inverse wavelet transformation. Research results suggest that the transfer function models with variable coefficients fit the behavior of the anchovies\u2019 landing with great accuracy, while the use of transfer function models with constant coefficients fits sardines\u2019 landings better. Both fisheries\u2019 landings could be explained to a large extent from the large scale climatic variables.<\/jats:p>","DOI":"10.3390\/e21111082","type":"journal-article","created":{"date-parts":[[2019,11,5]],"date-time":"2019-11-05T06:47:57Z","timestamp":1572936477000},"page":"1082","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Polynomial and Wavelet-Type Transfer Function Models to Improve Fisheries\u2019 Landing Forecasting with Exogenous Variables"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1593-8109","authenticated-orcid":false,"given":"Eliana","family":"Vivas","sequence":"first","affiliation":[{"name":"Escuela de Ingenier\u00eda Inform\u00e1tica, Pontificia Universidad Cat\u00f3lica de Valpara\u00edso, Valpara\u00edso 2340025, Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3047-8817","authenticated-orcid":false,"given":"H\u00e9ctor","family":"Allende-Cid","sequence":"additional","affiliation":[{"name":"Escuela de Ingenier\u00eda Inform\u00e1tica, Pontificia Universidad Cat\u00f3lica de Valpara\u00edso, Valpara\u00edso 2340025, Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0350-6811","authenticated-orcid":false,"given":"Rodrigo","family":"Salas","sequence":"additional","affiliation":[{"name":"Escuela de Ingenier\u00eda C. Biom\u00e9dica, Universidad de Valpara\u00edso, Valpara\u00edso 2391415, Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0742-663X","authenticated-orcid":false,"given":"Lelys","family":"Bravo","sequence":"additional","affiliation":[{"name":"Department of Statistics, University of Illinois at Urbana-Champaign, Champaign, IL 61820, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2019,11,5]]},"reference":[{"key":"ref_1","unstructured":"Lum Kong, A. (2002). Impacts of Global Climate Changes on Caribbean Fisheries Resources: Research needs. Caribbean Food Systems: Developing a Research Agenda, Global Environmental Changeand Food Systems (GECAFS)."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1863","DOI":"10.1080\/00949655.2017.1410150","article-title":"Identifying ecosystem patterns from time series of anchovy (Engraulis ringens) and sardine (Sardinops sagax) landings in northern Chile","volume":"88","author":"Plaza","year":"2018","journal-title":"J. Stat. Comput. Simul."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"9485","DOI":"10.1073\/pnas.0912771107","article-title":"Ecosystem-based fisheries management requires a change to the selective fishing philosophy","volume":"107","author":"Zhou","year":"2010","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1016\/j.pocean.2015.03.004","article-title":"Forecasts of swordfish (Xiphias gladius) and common sardine (Strangomera bentincki) off Chile under the A2 IPCC climate change scenario","volume":"134","author":"Silva","year":"2015","journal-title":"Prog. Oceanogr."},{"key":"ref_5","unstructured":"Garcia, S.M. (2003). The Ecosystem Approach to Fisheries: Issues, Terminology, Principles, Institutional Foundations, Implementation and Outlook (No. 443), Food & Agriculture Org."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1111\/j.1365-2486.2007.01518.x","article-title":"Climate induced increases in species richness of marine fishes","volume":"14","author":"Hiddink","year":"2008","journal-title":"Glob. Chang. Biol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"188","DOI":"10.1016\/j.fishres.2007.06.004","article-title":"Monthly catch forecasting of anchovy Engraulis ringens in the north area of Chile: Non-linear univariate approach","volume":"86","author":"Silva","year":"2007","journal-title":"Fish. Res."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1016\/j.fishres.2009.06.014","article-title":"Pacific sardine (Sardinops sagax, Jenyns 1842) landings prediction. A neural network ecosystemic approach","volume":"100","author":"Silva","year":"2009","journal-title":"Fish. Res."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"242","DOI":"10.1016\/j.pocean.2010.09.015","article-title":"Anchovy (Engraulis ringens) and sardine (Sardinops sagax) abundance forecast off northern Chile: A multivariate ecosystemic neural network approach","volume":"87","author":"Plaza","year":"2010","journal-title":"Prog. Oceanogr."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"955","DOI":"10.3856\/vol40-issue4-fulltext-12","article-title":"Using indicators and models for an ecosystem approach to fisheries and aquaculture management: The anchovy fishery and Pacific oyster culture in Chile: Case studies","volume":"40","author":"Silva","year":"2012","journal-title":"Lat. Am. J. Aquat. Res."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Shabri, A., and Samsudin, R. (2015). Fishery landing forecasting using wavelet-based autoregressive integrated moving average models. Math. Prob. Eng., 2015.","DOI":"10.1155\/2015\/969450"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"3679","DOI":"10.1166\/asl.2013.5192","article-title":"Wavelet additive forecasting model to support the fisheries industry","volume":"19","author":"Rodriguez","year":"2013","journal-title":"Adv. Sci. Lett."},{"key":"ref_13","unstructured":"SERNAPESCA (2019, November 05). Available online: http:\/\/ww2.sernapesca.cl\/index.php?option=com_remository&Itemid=54&func=select&id=2."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"581","DOI":"10.1016\/S0079-6611(01)00042-8","article-title":"Climate variability and pelagic fisheries in northern Chile","volume":"49","author":"Barbieri","year":"2001","journal-title":"Prog. Oceanogr."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Y\u00e1\u00f1ez, E., Hormaz\u00e1bal, S., Silva, C., Montecinos, A., Barbieri, M.A., Valdenegro, A., \u00d3rdenes, A., and G\u00f3mez, F. (2008). Coupling between the environment and the pelagic resources exploited off northern Chile: Ecosystem indicators and a conceptual model. Lat. Am. J. Aquat. Res., 36.","DOI":"10.3856\/vol36-issue2-fulltext-3"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1059","DOI":"10.1007\/s00704-016-1828-4","article-title":"Predicting monthly precipitation along coastal Ecuador: ENSO and transfer function models","volume":"129","author":"Santos","year":"2017","journal-title":"Theor. Appl. Climatol."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Moura, M.S.d.A., Morettin, P.A., Toloi, C., and Chiann, C. (2012). Transfer function models with time-varying coefficients. J. Probab. Stat.","DOI":"10.1155\/2012\/451076"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1006\/acha.1993.1005","article-title":"Wavelets on the interval and fast wavelet transforms","volume":"1","author":"Cohen","year":"1993","journal-title":"Appl. Comput. Harmon. Anal."},{"key":"ref_19","unstructured":"Vidakovic, B. (2009). Statistical Modeling by Wavelets, John Wiley & Sons."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1007\/s11004-011-9320-2","article-title":"GP Nason: Wavelet Methods in Statistics with r","volume":"43","author":"Webster","year":"2011","journal-title":"Math. Geosci."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"7167","DOI":"10.3390\/e17107167","article-title":"Wavelet entropy based analysis and forecasting of crude oil price dynamics","volume":"17","author":"Zou","year":"2015","journal-title":"Entropy"},{"key":"ref_22","unstructured":"Misiti, M., Misiti, Y., Oppenheim, G., and Poggi, J.M. (1996). Wavelet Toolbox, The MathWorks Inc."},{"key":"ref_23","unstructured":"Box, G.E., Jenkins, G.M., Reinsel, G.C., and Ljung, G.M. (2015). Time Series Analysis: Forecasting and Control, John Wiley & Sons."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Shumway, R.H., and Stoffer, D.S. (2017). Time Series Analysis and Its Applications: With R Examples, Springer.","DOI":"10.1007\/978-3-319-52452-8"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Diodato, N., De Guenni, L., Garcia, M., and Bellocchi, G. (2019). Decadal Oscillation in the Predictability of Palmer Drought Severity Index in California. Climate, 7.","DOI":"10.3390\/cli7010006"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"641","DOI":"10.1007\/s11063-015-9438-1","article-title":"Identification of lags in nonlinear autoregressive time series using a flexible fuzzy model","volume":"43","author":"Veloz","year":"2016","journal-title":"Neural Process. Lett."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1111\/1467-9876.00157","article-title":"Venezuelan rainfall data analysed by using a Bayesian space\u2013time model","volume":"48","author":"Guenni","year":"1999","journal-title":"J. R. Stat. Soc. Ser. C (Appl. Stat.)"}],"container-title":["Entropy"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1099-4300\/21\/11\/1082\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T13:31:58Z","timestamp":1760189518000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1099-4300\/21\/11\/1082"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11,5]]},"references-count":27,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2019,11]]}},"alternative-id":["e21111082"],"URL":"https:\/\/doi.org\/10.3390\/e21111082","relation":{},"ISSN":["1099-4300"],"issn-type":[{"value":"1099-4300","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,11,5]]}}}