يعرض 1 - 10 نتائج من 286 نتيجة بحث عن '"Pérez-Matus, Alejandro"', وقت الاستعلام: 0.77s تنقيح النتائج
  1. 1
    دورية أكاديمية

    الوصف: Description for Paper to be Published in ECOLOGY**Title:** Kelp Forests as Nursery and Foundational Habitat for Reef Fishes**Abstract:**The conservation of marine biodiversity necessitates an understanding of habitats that support and replenish species of interest, along with knowledge about the abundance and diversity of multi-species assemblages. Kelp forests, among the most productive marine coastal habitats globally, significantly influence reef fishes – a group with considerable ecological and socio-economic importance. With the widespread and escalating loss of kelp forests, it is urgent to quantify these effects to assess and project cascading impacts on biodiversity. This study evaluates relationships between kelp forests and associated reef fish populations through a global meta-analysis of experimental kelp removals and comparative surveys of kelp and adjacent non-kelp habitats. Our analyses show that kelp forests increase the abundance of reef fishes, with the significance of this effect ...

  2. 2
    دورية أكاديمية

    مصطلحات موضوعية: Biodiversity survey, eDNA, Eukaryotes, Fishes, Metabarcoding

    الوصف: Temperate mesophotic reef ecosystems (TMREs) are among the least known marine habitats. Information on their diversity and ecology is geographically and temporally scarce, especially in highly productive large upwelling ecosystems. Lack of information remains an obstacle to understanding the importance of TMREs as habitats, biodiversity reservoirs and their connections with better-studied shallow reefs. Here, we use environmental DNA (eDNA) from water samples to characterize the community composition of TMREs on the central Chilean coast, generating the first baseline for monitoring the biodiversity of these habitats. We analyzed samples from two depths (30 and 60 m) over four seasons (spring, summer, autumn, and winter) and at two locations approximately 16 km apart. We used a panel of three metabarcodes, two that target all eukaryotes (18S rRNA and mitochondrial COI) and one specifically targeting fishes (16S rRNA). All panels combined encompassed eDNA assigned to 42 phyla, 90 classes, 237 orders, and 402 families. The highest family richness was found for the phyla Arthropoda, Bacillariophyta, and Chordata. Overall, family richness was similar between depths but decreased during summer, a pattern consistent at both locations. Our results indicate that the structure (composition) of the mesophotic communities varied predominantly with seasons. We analyzed further the better-resolved fish assemblage and compared eDNA with other visual methods at the same locations and depths. We recovered eDNA from 19 genera of fish, six of these have also been observed on towed underwater videos, while 13 were unique to eDNA. We discuss the potential drivers of seasonal differences in community composition and richness. Our results suggest that eDNA can provide valuable insights for monitoring TMRE communities but highlight the necessity of completing reference DNA databases available for this region. ; Grant number ICM_ NCN19_056 ; info:eu-repo/semantics/publishedVersion

  3. 3
    دورية أكاديمية

    المصدر: Uribe , R A , Smale , D A , Morales , R , Aleman , S , Atoche-Suclupe , D , Burrows , M T , Earp , H S , Hinostroza , J D , King , N G , Perea , A , Pérez-Matus , A , Smith , K & Moore , P J 2024 , ' Spatiotemporal variability in the structure and diversity of understory faunal assemblages associated with the kelp Eisenia cokeri (Laminariales) in Peru ' , Marine Biology , vol. 171 , 62 (2024) . https://doi.org/10.1007/s00227-023-04334-wTest

    الوصف: Kelp species function as foundation organisms in coastal marine ecosystems, where they alter environmental conditions and promote local biodiversity by providing complex biogenic habitat for an array of associated organisms. The structure and functioning of kelp forest ecosystems in some regions, such as along the Peruvian coastline, remain critically understudied. We quantified the structure and diversity of faunal assemblages within both holdfast and understory reef habitats within Eisenia cokeri forests. We sampled both habitat types within four subtidal kelp forests on multiple occasions between 2016 and 2020, and quantified fauna at a fine taxonomic level (mostly species). We recorded a total of ~ 55,000 individuals representing 183 taxa across the study, with holdfast assemblages typically exhibiting higher richness, abundance and biomass values compared with understory reef-associated assemblages. Holdfast assemblages were structurally and functionally dissimilar to those on reef surfaces and were less variable and consistent across sites and sampling events. Even so, assemblages associated with both habitat types varied significantly between sites and sampling events, with variation in upwelling strength, ocean currents, and grazing pressure among potential drivers of this ecological variability. Overall, E. cokeri supports diverse and abundant holdfast assemblages and functions as a foundation organism in Peru. Given that no other habitat-forming kelp species persist at the low latitudes of E. cokeri in mid-to-north Peru, the lack of functional redundancy suggests that effective management and conservation of this species is vital for wider ecosystem processes and biodiversity maintenance.

    وصف الملف: application/pdf

  4. 4
    دورية أكاديمية

    المصدر: Conservation Science and Practice ; volume 6, issue 2 ; ISSN 2578-4854 2578-4854

    الوصف: Marine recreational fisheries often lack necessary information to perform assessments and develop sustainable management strategies. In Chile, although reef‐fish fisheries have been signaled as overexploited, there are still no commercial or recreational regulations regarding bans, catch limits, or size limits. We implemented an expert elicitation protocol to propose management measures to regulate recreational reef‐fish harvests of 17 reef‐fish species. Sixteen experts estimated minimum legal sizes, temporal closures, and maximum number of individuals harvested per person per trip (known as “bag limits”). Experts also prioritized management measures for each of 17 reef‐fish species. Maximum number of individuals harvested per person per trip varied between 1 and 7. In addition, permanent bans were recommended for some species, such as acha ( Medialuna ancietae ), pejeperro ( Semicossyphus darwini ), and San Pedro ( Oplegnathus insignis ). We concluded that information gathered through expert elicitation can play a key role to inform data‐poor recreational fishery management. Expert elicitation protocols that include iterative process, based on individual estimates and an open expert discussion phase, provide the necessary enabling environment to identify a variety of management measures. While future challenges include the development of mechanisms to promote acceptability and compliance for recreational fisheries management, the approach presented here is important to initiate much needed discussions.

  5. 5

    المصدر: Fish and Fisheries. 23(4):847-861

    الوصف: Macroalgae-dominated reefs are a prominent habitat in tropical seascapes that support a diversity of fishes, including fishery target species. To what extent, then, do macroalgal habitats contribute to small-scale tropical reef fisheries? To address this question we: (1) Quantified the macroalgae-associated fish component in catches from 133 small-scale fisheries, (2) Compared life-history traits relevant to fishing (e.g. growth, longevity) in macroalgal and coral-associated fishes, (3) Examined how macroalgae-associated species can influence catch diversity, trophic level and vulnerability and (4) Explored how tropical fisheries change with the expansion of macroalgal habitats using a case study of fishery-independent data for Seychelles. Fish that utilised macroalgal habitats comprise 24% of the catch, but very few fished species relied entirely on macroalgal or coral habitats post-settlement. Macroalgal and coral-associated fishes had similar life-history traits, although vulnerability to fishing declined with increasing contribution of macroalgae association to the catch, whilst mean trophic level and diversity peaked when macroalgal-associated fish accounted for 20%–30% of catches. The Seychelles case study revealed similar total fish biomass on macroalgal and coral reefs, although the biomass of primary target species increased as macroalgae cover expanded. Our findings reinforce that multiple habitat types are needed to support tropical fishery stability and sustainability. Whilst coral habitats have been the focus of tropical fisheries management, we show the potential for macroalgae-associated fish to support catch size and diversity in ways that reduce vulnerability to overfishing. This is pertinent to seascapes where repeated disturbances are facilitating the replacement of coral reef with macroalgal habitats.

    وصف الملف: print

  6. 6
    تقرير

    الوصف: Large-scale research endeavors can be hindered by logistical constraints limiting the amount of available data. For example, global ecological questions require a global dataset, and traditional sampling protocols are often too inefficient for a small research team to collect an adequate amount of data. Citizen science offers an alternative by crowdsourcing data collection. Despite growing popularity, the community has been slow to embrace it largely due to concerns about quality of data collected by citizen scientists. Using the citizen science project Floating Forests (http://floatingforests.orgTest), we show that consensus classifications made by citizen scientists produce data that is of comparable quality to expert generated classifications. Floating Forests is a web-based project in which citizen scientists view satellite photographs of coastlines and trace the borders of kelp patches. Since launch in 2014, over 7,000 citizen scientists have classified over 750,000 images of kelp forests largely in California and Tasmania. Images are classified by 15 users. We generated consensus classifications by overlaying all citizen classifications and assessed accuracy by comparing to expert classifications. Matthews correlation coefficient (MCC) was calculated for each threshold (1-15), and the threshold with the highest MCC was considered optimal. We showed that optimal user threshold was 4.2 with an MCC of 0.400 (0.023 SE) for Landsats 5 and 7, and a MCC of 0.639 (0.246 SE) for Landsat 8. These results suggest that citizen science data derived from consensus classifications are of comparable accuracy to expert classifications. Citizen science projects should implement methods such as consensus classification in conjunction with a quantitative comparison to expert generated classifications to avoid concerns about data quality.
    Comment: 14 pages, 5 figures, 2 tables, 1 supplemental figure

    الوصول الحر: http://arxiv.org/abs/1801.08522Test

  7. 7
    دورية أكاديمية

    المؤلفون: Dornelas, Maria, Antão, Laura H., Moyes, Faye, Bates, Amanda E., Magurran, Anne E., Adam, Dušan, Akhmetzhanova, Asem A., Appeltans, Ward, Arcos, José Manuel, Arnold, Haley, Ayyappan, Narayanan, Badihi, Gal, Baird, Andrew H., Barbosa, Miguel, Barreto, Tiago Egydio, Bässler, Claus, Bellgrove, Alecia, Belmaker, Jonathan, Benedetti‐Cecchi, Lisandro, Bett, Brian J., Bjorkman, Anne D., Błażewicz, Magdalena, Blowes, Shane A., Bloch, Christopher P., Bonebrake, Timothy C., Boyd, Susan, Bradford, Matt, Brooks, Andrew J., Brown, James H., Bruelheide, Helge, Budy, Phaedra, Carvalho, Fernando, Castañeda‐Moya, Edward, Chen, Chaolun Allen, Chamblee, John F., Chase, Tory J., Siegwart Collier, Laura, Collinge, Sharon K., Condit, Richard, Cooper, Elisabeth J., Cornelissen, J. Hans C., Cotano, Unai, Kyle Crow, Shannan, Damasceno, Gabriella, Davies, Claire H., Davis, Robert A., Day, Frank P., Degraer, Steven, Doherty, Tim S., Dunn, Timothy E., Durigan, Giselda, Duffy, J. Emmett, Edelist, Dor, Edgar, Graham J., Elahi, Robin, Elmendorf, Sarah C., Enemar, Anders, Ernest, S. K. Morgan, Escribano, Rubén, Estiarte, Marc, Evans, Brian S., Fan, Tung‐Yung, Turini Farah, Fabiano, Loureiro Fernandes, Luiz, Farneda, Fábio Z., Fidelis, Alessandra, Fitt, Robert, Fosaa, Anna Maria, Daher Correa Franco, Geraldo Antonio, Frank, Grace E., Fraser, William R., García, Hernando, Cazzolla Gatti, Roberto, Givan, Or, Gorgone‐Barbosa, Elizabeth, Gould, William A., Gries, Corinna, Grossman, Gary D., Gutierréz, Julio R., Hale, Stephen, Harmon, Mark E., Harte, John, Haskins, Gary, Henshaw, Donald L., Hermanutz, Luise, Hidalgo, Pamela, Higuchi, Pedro, Hoey, Andrew, Van Hoey, Gert, Hofgaard, Annika, Holeck, Kristen, Hollister, Robert D., Holmes, Richard, Hoogenboom, Mia, Hsieh, Chih‐hao, Hubbell, Stephen P., Huettmann, Falk, Huffard, Christine L., Hurlbert, Allen H., Macedo Ivanauskas, Natália, Janík, David, Jandt, Ute, Jażdżewska, Anna, Johannessen, Tore, Johnstone, Jill, Jones, Julia, Jones, Faith A. M., Kang, Jungwon, Kartawijaya, Tasrif, Keeley, Erin C., Kelt, Douglas A., Kinnear, Rebecca, Klanderud, Kari, Knutsen, Halvor, Koenig, Christopher C., Kortz, Alessandra R., Král, Kamil, Kuhnz, Linda A., Kuo, Chao‐Yang, Kushner, David J., Laguionie‐Marchais, Claire, Lancaster, Lesley T., Min Lee, Cheol, Lefcheck, Jonathan S., Lévesque, Esther, Lightfoot, David, Lloret, Francisco, Lloyd, John D., López-Baucells, Adrià, Louzao, Maite, Madin, Joshua S., Magnússon, Borgþór, Malamud, Shahar, Matthews, Iain, McFarland, Kent P., McGill, Brian, McKnight, Diane, McLarney, William O., Meador, Jason, Meserve, Peter L., Metcalfe, Daniel J., Meyer, Christoph F. J., Michelsen, Anders, Milchakova, Nataliya, Moens, Tom, Moland, Even, Moore, Jon, Mathias Moreira, Carolina, Müller, Jörg, Murphy, Grace, Myers‐Smith, Isla H., Myster, Randall W., Naumov, Andrew, Neat, Francis, Nelson, James A., Paul Nelson, Michael, Newton, Stephen F., Norden, Natalia, Oliver, Jeffrey C., Olsen, Esben M., Onipchenko, Vladimir G., Pabis, Krzysztof, Pabst, Robert J., Paquette, Alain, Pardede, Sinta, Paterson, David M., Pélissier, Raphaël, Peñuelas, Josep, PérezMatus, Alejandro, Pizarro, Oscar, Pomati, Francesco, Post, Eric, Prins, Herbert H. T., Priscu, John C., Provoost, Pieter, Prudic, Kathleen L., Pulliainen, Erkki, Ramesh, B. R., Mendivil Ramos, Olivia, Rassweiler, Andrew, Rebelo, Jose Eduardo, Reed, Daniel C., Reich, Peter B., Remillard, Suzanne M., Richardson, Anthony J., Richardson, J. Paul, van Rijn, Itai, Rocha, Ricardo, Rivera‐Monroy, Victor H., Rixen, Christian, Robinson, Kevin P., Ribeiro Rodrigues, Ricardo, de Cerqueira Rossa‐Feres, Denise, Rudstam, Lars, Ruhl, Henry, Ruz, Catalina S., Sampaio, Erica M., Rybicki, Nancy, Rypel, Andrew, Sal, Sofia, Salgado, Beatriz, Santos, Flavio A. M., Savassi‐Coutinho, Ana Paula, Scanga, Sara, Schmidt, Jochen, Schooley, Robert, Setiawan, Fakhrizal, Shao, Kwang‐Tsao, Shaver, Gaius R., Sherman, Sally, Sherry, Thomas W., Siciński, Jacek, Sievers, Caya, da Silva, Ana Carolina, Rodrigues da Silva, Fernando, Silveira, Fabio L., Slingsby, Jasper, Smart, Tracey, Snell, Sara J., Soudzilovskaia, Nadejda A., Souza, Gabriel B. G., Maluf Souza, Flaviana, Castro Souza, Vinícius, Stallings, Christopher D., Stanforth, Rowan, Stanley, Emily H., Mauro Sterza, José, Stevens, Maarten, Stuart‐Smith, Rick, Rondon Suarez, Yzel, Supp, Sarah, Yoshio Tamashiro, Jorge, Tarigan, Sukmaraharja, Thiede, Gary P., Thorn, Simon, Tolvanen, Anne, Teresa Zugliani Toniato, Maria, Totland, Ørjan, Twilley, Robert R., Vaitkus, Gediminas, Valdivia, Nelson, Vallejo, Martha Isabel, Valone, Thomas J., Van Colen, Carl, Vanaverbeke, Jan, Venturoli, Fabio, Verheye, Hans M., Vianna, Marcelo, Vieira, Rui P., Vrška, Tomáš, Quang Vu, Con, Van Vu, Lien, Waide, Robert B., Waldock, Conor, Watts, Dave, Webb, Sara, Wesołowski, Tomasz, White, Ethan P., Widdicombe, Claire E., Wilgers, Dustin, Williams, Richard, Williams, Stefan B., Williamson, Mark, Willig, Michael R., Willis, Trevor J., Wipf, Sonja, Woods, Kerry D., Woehler, Eric J., Zawada, Kyle, Zettler, Michael L.

    الوصف: Motivation The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community-led open-source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene. Main types of variables included The database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, the database contains metadata relating to sampling methodology and contextual information about each record. Spatial location and grain BioTIME is a global database of 547,161 unique sampling locations spanning the marine, freshwater and terrestrial realms. Grain size varies across datasets from 0.0000000158 km2 (158 cm2) to 100 km2 (1,000,000,000,000 cm2). Time period and grain BioTIME records span from 1874 to 2016. The minimal temporal grain across all datasets in BioTIME is a year. Major taxa and level of measurement BioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton and terrestrial invertebrates to small and large vertebrates. Software format .csv and .SQL. ; info:eu-repo/semantics/publishedVersion

    العلاقة: European Research Council and EU: . Grant Numbers: AdG-250189 , PoC-727440 , ERC-SyG-2013-610028 Natural Environmental Research Council . Grant Number: NE/L002531/1 National Science Foundation (NSF): . Grant Numbers: DEB-1237733 , DEB-1456729 , 9714103 , 0632263 , 0856516 , 1432277 , DEB-9705814 , BSR-8811902 , DEB 9411973 , DEB 0080538 , DEB 0218039 , DEB 0620910 , DEB 0963447 , DEB-1546686 , DEB-129764 , OCE 95-21184 , OCE-0099226 , OCE 03-52343 , OCE-0623874 , OCE-1031061 , OCE-1336206 , DEB-1354563 National Science Foundation (LTER): . Grant Numbers: DEB-1235828 , DEB-1440297 , DBI-0620409 , DEB-9910514 , DEB-1237517 , OCE-0417412 , OCE-1026851 , OCE-1236905 , OCE-1637396 , DEB-1440409 , DEB-0832652 , DEB-0936498 , DEB-0620652 , DEB-1234162 , DEB-0823293 Fundação para a Ciência e Tecnologia . Grant Number: POPH/FSE SFRH/BD/90469/2012 Ciência sem Fronteiras/CAPES . Grant Number: 1091/13-1 Instituto Milenio de Oceanografía . Grant Number: IC120019 ARC Centre of Excellence . Grant Numbers: CE0561432 , SFRH/BD/84030/2012 NSERC Canada CONICYT/FONDECYT . Grant Numbers: 1160026 , ICM PO5-002 , CONICYT/FONDECYT , 11110351 , 1151094 RSF . Grant Number: 14-50-00029 Gordon and Betty Moore Foundation's Data-Driven Discovery Initiative Grant . Grant Number: GBMF4563 Catalan Government Marie Curie Individual Fellowship . Grant Numbers: QLK5-CT2002-51518 , MERG-CT-2004-022065 CNPq . Grant Number: 306170/2015-9 FAPESP . Grant Numbers: 2015/10714-6 , 2015/06743-0 , 2008/10049-9 , 475434/2010-2 DFG . Grant Number: 120/10-2 EU CLIMOOR . Grant Number: ENV4-CT97-0694 VULCAN . Grant Number: EVK2-CT-2000-00094 Spanish . Grant Numbers: REN2000-0278/CCI , REN2001-003/GLO Catalonian . Grant Numbers: AGAUR 2014 SGR 453 , 2013/50714-0 , 1070808 Polar Continental Shelf Program . Grant Number: 1130511 CENPES – PETROBRAS . Grant Number: 403809/2012-6 FAPERJ . Grant Number: E-26/110.114/2013 German Academic Exchange Service sDiv iDiv . Grant Numbers: PTDC/BIA-BIC/111184/2009 , SFRH/BD/80488/2011 , PD/BD/52597/2014 New Zealand Department of Conservation Wellcome Trust . Grant Number: 105621/Z/14/Z Smithsonian Atherton Seidell Fund Botanic Gardens Parks Authority Research Council of Norway Conselleria de Innovació, Hisenda i Economia Australian Government Yukon Government Herschel Island-Qikiqtaruk Territorial Park U.K. Natural Environment Research Council ShrubTundra Grant . Grant Number: NE/M016323/1 IPY Memorial University ArcticNet . Grant Numbers: 1999/09635-0 , 2013/50718-5 , 561897/2010 H2020 European Research Council . Grant Number: bioTIME; Dornelas, M, Antão, LH, Moyes, F, et al. BioTIME: A database of biodiversity time series for the Anthropocene. Global Ecol Biogeogr. 2018; 27: 760–786. https://doi.org/10.1111/geb.12729Test; http://hdl.handle.net/10451/59924Test

  8. 8
    دورية أكاديمية

    المساهمون: Singapore Centre for Environmental Life Sciences and Engineering

    الوصف: While marine kelp forests have provided valuable ecosystem services for millennia, the global ecological and economic value of those services is largely unresolved. Kelp forests are diminishing in many regions worldwide, and efforts to manage these ecosystems are hindered without accurate estimates of the value of the services that kelp forests provide to human societies. Here, we present a global estimate of the ecological and economic potential of three key ecosystem services - fisheries production, nutrient cycling, and carbon removal provided by six major forest forming kelp genera (Ecklonia, Laminaria, Lessonia, Macrocystis, Nereocystis, and Saccharina). Each of these genera creates a potential value of between $64,400 and $147,100/hectare each year. Collectively, they generate between $465 and $562 billion/year worldwide, with an average of $500 billion. These values are primarily driven by fisheries production (mean $29,900, 904 Kg/Ha/year) and nitrogen removal ($73,800, 657 Kg N/Ha/year), though kelp forests are also estimated to sequester 4.91 megatons of carbon from the atmosphere/year highlighting their potential as blue carbon systems for climate change mitigation. These findings highlight the ecological and economic value of kelp forests to society and will facilitate better informed marine management and conservation decisions. ; Published version ; The work was supported by a Scientia PhD scholarship from the University of New South Wales to AE and was partly supported by an Australia Research Council Discovery grant to AV (DP190100058). O. Pontier and M. Hessing-Lewis were supported by the Tula Foundation and the Hakai Institute.

    وصف الملف: application/pdf

    العلاقة: Nature Communications; Eger, A. M., Marzinelli, E. M., Beas-Luna, R., Blain, C. O., Blamey, L. K., Byrnes, J. E. K., Carnell, P. E., Choi, C. G., Hessing-Lewis, M., Kim, K. Y., Kumagai, N. H., Lorda, J., Moore, P., Nakamura, Y., Pérez-Matus, A., Pontier, O., Smale, D., Steinberg, P. D. & Vergés, A. (2023). The value of ecosystem services in global marine kelp forests. Nature Communications, 14(1), 1894-. https://dx.doi.org/10.1038/s41467-023-37385-0Test; https://hdl.handle.net/10356/169771Test; 2-s2.0-85152863611; 14; 1894

  9. 9
  10. 10
    دورية أكاديمية

    المساهمون: Riascos, José M., Agencia Nacional de Investigación y Desarrollo

    المصدر: PLOS ONE ; volume 18, issue 2, page e0281932 ; ISSN 1932-6203

    الوصف: This study summarises six years of spatio-temporal patterns of the discarded demersal community fauna recorded by onboard scientific observer program for both artisanal and industrial crustacean fisheries between 2014 and 2019, from mesophotic to aphotic depths (96 to 650 m) along the southern Humboldt Current System (28–38°S). In this period, one cold and two warm climatic events were observed during the austral summer 2014, 2015–2016 (ENSO Godzilla), and 2016–2017 (coastal ENSO), respectively. Satellite information showed that Chlorophyll-a concentration varied seasonally and latitudinally, associated with upwelling centres, while equatorial wind stress decreased southward of 36°S. Discards were composed of 108 species, dominated by finfish and molluscs. The Chilean hake Merluccius gayi was dominant and ubiquitous (occurrence, 95% of 9104 hauls), being the most vulnerable species of the bycatch. Three assemblages were identified: assemblage 1 (~200 m deep), dominated by flounders Hippoglossina macrops and lemon crabs Platymera gaudichaudii , assemblage 2 (~260 m deep), dominated by squat lobsters Pleuroncodes monodon and Cervimunida johni and assemblage 3 (~320 m depth), dominated by grenadiers Coelorinchus aconcagua and cardinalfish Epigonus crassicaudus . These assemblages were segregated by depth, and varied by year, and geographic zone. The latter represented changes in the width of the continental shelf, increasing southward of 36°S. Alpha-diversity indexes (richness, Shannon, Simpson, and Pielou) also varied with depth and latitude, with higher diversity in deeper continental waters (>300 m), between 2018–2019. Finally, at a spatial scale of tens of kilometres, and a monthly basis, interannual variations of biodiversity occurred in the demersal community. Surface sea temperature, chlorophyll-a, or wind stress did not correlate with discarded demersal fauna diversity of the crustacean fishery operating along central Chile.