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description Publicationkeyboard_double_arrow_right Article 2021Elsevier BV SSHRCSSHRCAuthors: Delma Nataly Castelblanco-Martínez; Rafael A. Moreno-Arias; Julián A. Velasco; Jorge W. Moreno-Bernal; +5 AuthorsDelma Nataly Castelblanco-Martínez; Rafael A. Moreno-Arias; Julián A. Velasco; Jorge W. Moreno-Bernal; S. Restrepo; Elkin A. Noguera-Urbano; M.P. Baptiste; L.M. García-Loaiza; G. Jiménez;Abstract Biological invasions are a big concern due to their potential to impact ecosystems, as well as local people. The hippo Hippopotamus amphibius, native to Africa, has invaded extensive areas of the Magdalena River basin (Colombia) over the past decades, and has been considered the largest invasive animal in the world. Here, we propose the use of two approaches of predictive modeling, in order to guide recommendations for the management of this biological invasion. First, we developed a population viability analysis (PVA) to simulate a hypothetical population growth under different management scenarios. Next, we explored the potential invasion area under future climate change scenarios throughout ecological niche modeling analyses. PVA models predicted that in the absence of an intense culling/hunting pressure, the population size will continue to steadily increase, which is consistent with the population growth observed during the last 20 years. Furthermore, our static and dynamic habitat suitability projections suggested that without dispersal limiting factors, potential colonization habitat for hippos may become very extensive across the landscape and can be favored by climate change in the future. Therefore, our findings show the urgent need of taking critical management decisions by the Colombian authorities, which should be focused on limiting the hippos' population growth and expansion. Ignoring cost-benefit considerations for the control of this invasive species may have unexpected and long-term social and ecological implications. However, the proposal of a course of action can become controversial when the species has a charismatic value for the society, regardless of its ecological or social impact.
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For further information contact us at helpdesk@openaire.eu18 citations 18 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu- NEOTROPICAL ALIEN MAMMALS: a data set of occurrence and abundance of alien mammals in the Neotropics
description Publicationkeyboard_double_arrow_right Article 2020 UruguayWiley SSHRCSSHRCAuthors: Clarissa Alves da Rosa; Bruno R. Ribeiro; Vanesa Bejarano; Fernando Henrique Puertas; +499 AuthorsClarissa Alves da Rosa; Bruno R. Ribeiro; Vanesa Bejarano; Fernando Henrique Puertas; Adriana Bocchiglieri; Adriana Loeser dos Santos Barbosa; Adriano Garcia Chiarello; Adriano Pereira Paglia; Adriele Aparecida Pereira; Adryelle Francisca de Souza Moreira; Agnis Cristiane de Souza; Ailin Gatica; Akyllan Zoppi Medeiro; Alan Deivid Pereira; Alan Gerhardt Braz; Alberto Yanosky; Alejandro E. J. Valenzuela; Alessandra Bertassoni; Alessandra dos Santos Venturini do Prado; Alessandro Rocha; Alex Augusto Abreu Bovo; Alex Bager; Alexandra Cravino; Alexandra S. Pires; Alexandre Camargo Martensen; Alexandre Filippini; Alexandre Reis Percequillo; Alexandre Vogliotti; Alexsander Zamorano Antunes; Aline Cristina Leite de Oliveira; Allan Jefferson da Silva de Oliveira; Allison L. Devlin; Almir de Paula; Aluane Silva Ferreira; Alvaro García-Olaechea; Amanda L. Subalusky; Amadeo Sánchez; Ana Carla Medeiros Morato de Aquino; Ana Carolina Srbek-Araujo; Amane Paldês Gonçales; Ana Caroline L. Araújo; Ana Cecilia Gozzi; Ana Cecilia Ochoa; Ana Cristyna Reis Lacerda; Ana Maria de Oliveira Paschoal; Ana Paula Nascimento Gomes; Ana Paula Potrich; Ana Priscila Medeiros Olímpio; Ana Rojas; Ana Yoko Ykeuti Meiga; Analice Maria Calaça; Anderson Feijó; Anderson Pagoto; André Borja Miranda; André Chein Alonso; André Felipe Barreto-Lima; Andre Monnerat Lanna; André Luís Luza; André Tavares; André Valle Nunes; Andreas Kindel; Andressa Gatti; Andrezza Bellotto Nobre; Anna Carolina Figueiredo de Albuquerque; Antonio de la Torre; Antonio M. Mangione; Antonio Rossano Mendes Pontes; Arthur Soares Fernandes; Augusto João Piratelli; Ariel Guilherme Santos do Nascimento; Beatris Felipe Rosa; Beatriz Azevedo Cezila; Benoit de Thoisy; Bianca Ingberman; Bianca Köhler; Bianca Cruz Morais; Bibiana Gómez-Valencia; Bruna Bertagni de Camargo; Bruna Tamasauskas; Bruno Busnello Kubiak; Bruno H. Saranholi; Bruno K. Nakagawa; Burton K. Lim; Calebe Pereira Mendes; Camila Alvez Islas; Camila Aoki; Camila Cantagallo Devids; Camila Figueiredo; Camila Matias Goes de Abreu; Camila Raquel Silva Oliveira; Camila Righetto Cassano; Camile Lugarini; Carin Caputo; Carla Cristina Gestich; Carla Denise Tedesco; Carlos Benhur Kasper; Carlos De Angelo; Carlos Eduardo Fragoso; Carlos Frederico Duarte Rocha; Carlos Eduardo Verona; Carlos Henrique Salvador; Carlos Leonardo Vieira; Carlos Roberto Abrahão; Carlos Rodrigo Brocardo; Carolline Zatta Fieker; Caryne Braga; Catalina Sánchez Lalinde; Cecília Bueno; Christine Del Vechio Koike; Christoph Knogge; Cindy M. Hurtado; Clarice Silva Cesário; Claudia Zukeran Kanda; Sebastián Andrés Costa; Cristiana Simão Seixas; Cristiano Trapé Trinca; Cristina Fabiola López-Fuerte; Cristina Jaques da Cunha; Cyntia Cavalcante Santos; Daiane Buscariol; Daiane Chaves do Nascimento; Daniel da Silva Ferraz; Daniel Galiano; Daniel Henrique Homem; Daniel Jesús-Espinosa; Daniela A. S. Bôlla; Daniele Janina Moreno; Danielle de Oliveira Moreira; Danielle Leal Ramos; Darci Moraes Barros-Battesti; Davi Castro Tavares; Dayvid Rodrigues Couto; Diana Letícia Kruger Pacheco Carvalho; Diego Afonso Silva; Diego Queirolo; Diego Varela; Dilmar Alberto Gonçalves de Oliveira; Diogo Cavenague Casanova; Douglas de Matos Dias; Douglas Machado da Silva; Eder Barbier; Edgar Federico Rivadeneira; Eduardo Roberto Alexandrino; Eduardo G. Carrano; Eduardo Martins Venticinque; Edwin L. Hernández-Pérez; Egberto da Fonseca Casazza; Elizabeth P. Anderson; Elmary da Costa Fraga; Emerson M. Vieira; Emiliano Guijosa-Guadarrama; Enrique González; Erica Vanessa Maggiorini; Erick Francisco Aguiar; Erika de la Peña-Cuéllar; Ezequiel Pedó; Fabiana Cristina Silveira Alves de Melo; Fabiana Lopes Rocha; Fabiana Luques Fonseca; Fabiane Girardi; Fabiano Rodrigues de Melo; Fabio de Oliveira Roque; Fabíola Keesen Ferreira; Felipe Bortolotto Peters; Felipe Moreli Fantacini; Felipe Pedrosa; Felipe Pessoa da Silva; Felipe Vélez-García; Fernanda Delborgo Abra; Fernanda Guedes da Silva; Fernanda Maria Neri; Fernando Carvalho; Fernandode Camargo Passos; Fernando de Castro Jacinavicius; Fernando Ferreira; Fernando Ferreira de Pinho; Fernando Gonçalves; Fernando Lima; Fernando M. Contreras-Moreno; Fernando Silvério Ribeiro; Fernando R. Tortato; Filipe M. Patel; Flavia Caruso; Flávio Kulaif Ubaid; Francesca Belem Lopes Palmeira; Francisco Grotta Neto; Franco L. Souza; Francys E. da Veiga da Costa; Frederico Gemesio Lemos; Gabriel S. Magezi; Gabriel Ferreira Vianna Di Panigai; Gabriel Selbach Hofmann; Gabriela Heliodoro; Gabriela Rosa Graviola; Gabrielle Ribeiro de Andrade; Germán Jiménez Romero; Gabriela Teixeira Duarte; Geruza Leal Melo; Geverson Luiz Dierings; Gilberto Sabino-Santos; Geovana Linhares de Oliveira; Gindomar Gomes Santana; Giordano Ciocheti; Gisele Lamberti Zanirato; Giselle Bastos Alves; Graziele Oliveira Batista; Greici Maia Behling; Guilherme Casoni da Rocha; Guilherme Mourão; Gustavo Alves da Costa Toledo; Gustavo Gonsioroski; Gustavo Rodrigues Canale; Karl-Ludwig Schuchmann; Harley Sebastião; Helena Alves do Prado; Helena Godoy Bergallo; Henrique Llacer Roig; Henrique Rajão; Henrique Santiago Alberto Carlos; Hiago Ermenegildo; Hilda Fátima de Jesus Pena; Hilton Entringer Júnior; Hipólito Ferreira Paulino Neto; Hudson de Macedo Lemos; Hugo del Castillo; Hugo Fernandes-Ferreira; Hugo Ignacio Coitiño Banquero; Ignacio Roesler; Igor Pfeifer Coelho; Isabel Muniz Bechara; Isabel Salgueiro Lermen; Isac Mella Méndez; Gabriela Schuck; Isadora Beraldi Esperandio; Italo Mourthe; Itiberê P. Bernardi; Jacqueline R. Miller; Jader Marinho-Filho; Jardel Brandão Seibert; Javier Hinojosa; Jeffrey J. Thompson; Jéssica Abonizio Gouvea; Jessica Castro-Prieto; Jéssica Paloma Ferreira; Jimmy Pincheira-Ulbrich; Joana Zorzal Nodari; João Carlos Zecchini Gebin; João Gabriel Ribeiro Giovanelli; João M. D. Miranda; João Pedro Souza-Alves; João Rafael Gomes de Almeida Marins; Jociel Ferreira Costa; Jonas Sponchiado; Jonathas Linds de Souza; Jorge Alberto Gallo; Jorge José Cherem; José Luis Passos Cordeiro; José Maurício Barbanti Duarte; José Oliveira Dantas; José Salatiel Rodrigues Pires; Juan Andrés Martínez Lanfranco; Juan Camilo de la Cruz Godoy; Juan Carlos Rudolf; Juan Francisco Tellarini; Juan L. Peña-Mondragón; Juan Pablo Arrabal; Juan I. Reppucci; Juan Ruiz-Esparza; Júlia Beduschi; Júlia Emi de Faria Oshima; José Soares Ferreira Neto; Juliane Pereira-Ribeiro; Juliani Bruna Zanoni; Juliano André Bogoni; Juliana Rodrigues Ferreira; Júlio César Bicca-Marques; Pietro de Oliveira Scarascia; Karlo G. Guidoni-Martins; Kathrin Burs; Katia Maria Paschoaletto Micchi de Barros Ferraz; Kátia Regina Pisciotta; Katyucha Von Kossel de Andrade Silva; Keynes de la Cruz-Félix; Kimberly Danielle Rodrigues de Morais; Lana Pavão Candelária; Larissa Fornitano; Larissa Oliveira Gonçalves; Laura Johanna Nova León; Layla Reis de Andrade; Leandro de Oliveira Marques; Leandro Dorigan de Macedo; Leandro Santana Moreira; Leandro Silveira; Leonardo Henrique da Silva; Leandro Jerusalinsky; Leonardo La Serra; Leonardo Marques Costa; Leonardo Sartorello; Leticia Prado Munhoes; Liany Regina B. Oliveira-Silva; Ligia Ferracine de Pina; Lilian Bonjorne; Lilian Elaine Rampim; Lilian P. Sales; Lucas Gonçalves da Silva; Lucas Lacerda Toth Quintilham; Lucas Neves Perillo; Lucía I. Rodríguez-Planes; Luciana Souza Araújo; Lina Marcela García Loaiza; Luciano Carramaschi de Alagão Querido; Luciano Ferreira da Silva; Luciano Tessare Bopp; Ludmila Hufnagel; Luiz Flamarion B. Oliveira; Luiz Gustavo R. Oliveira-Santos; Luiz Henrique Lyra; Luiza Neves Guimarães; Luziene Conceição de Sousa; Javier de la Maza; Magnus Machado Severo; Maísa Ziviani Alves Martins; Marcela Alvares Oliveira; Marcela Figuerêdo Duarte Moraes; Marcela Guimarães Moreira Lima; Marcell Soares Pinheiro; Marcella do Carmo Pônzio; Marcello Guerreiro; Marcelo Cervini; Marcelo da Silva; Marcelo Juliano Rabelo Oliveira; Marcelo Magioli; Marcelo Passamani; Marcelo Silva de Almeida; Márcio Leite de Oliveira; Marcos Adriano Tortato; Marcos Antônio Melo; Marcus Vinícius Vieira; Maria Augusta Andrade; Maria Claudene Barros; Maria Cristina Ferreira do Rosario; Maria Dolores Alves dos Santos Domit; Maria Emília de Avelar Fernandes; María Eugenia Iezzi; María José Andrade-Núñez; Maria Lucia Lorini; Maria Santina de Castro Morini; Mariana B. Nagy-Reis; Mariana Bueno Landis; Mariana Sampaio Xavier; Mariane da Cruz Kaizer; Mariano Maudet Bergel; Mariela Borgnia; Marília A. S. Barros; Marina Lima da Silva; Marina Ochoa Favarini; Marina Sales Munerato; Marina T. Zaluar; Marina Winter; Marina Xavier da Silva; Marina Zanin; Marinêz Isaac Marques; Mario Haberfeld; Mario S. Di Bitetti; Maron Galliez; Martin Roberto Del Valle Alvarez; Marina Rivero; Mateus Melo Dias; Mateus Yan de Oliveira; Matheus Gonçalves dos Reis; Matheus Rocha Jorge Corrêa; Maurício Eduardo Graipel; Mauricio Neves Godoi; Mauricio Osvaldo Moura; Mário Luís Orsi; Mauro Sanvicente Lopez; Mayara Guimarães Beltrão; Micaela Camino; Michel Barros Faria; Michel Miretzki; Micheli Ribeiro Luiz; Miguel Coutinho Moretta Monteiro; Milene Alves-Eigenheer; Miriam Lucia Lages Perilli; Monicque Silva Pereira; Natalia Mariana Denkiewicz; Natalie Olifiers; Natasha Moraes de Albuquerque; Nathália Fernandes Canassa; Newton Gurgel Filho; Nicole da Rosa Oliveira; Nielson Pasqualotto; Nilton C. Cáceres; Nivaldo Peroni; Noeli Zanella; Olivier Pays; Orlando Acevedo-Charry; Nelson Henrique de Almeida Curi; Patricia Ribeiro Salgado Pinha; Pablo G. Perovic; Pablo Rodrigues Gonçalves; Paloma Marques Santos; Pamella Gusmão de Goés Brennand; Patrício Adriano da Rocha; Patrick Ricardo De Lázari; Paula Fabiana Pinheiro; Paula Koeler Lira; Paula Modenesi Ferreira; Paula Sanches Martin; Paulo de Tarso Zuquim Antas; Paulo Henrique Peira Ruffino; Paulo H. S. A. Camargo; Paulo Landgref Filho; Pedro Cordeiro-Estrela; Pedro Henrique de Faria Peres; Paula Cristina Rodrigues de Almeida Maués; Pierre-Cyril Renaud; Ricardo Sartorello; Pollyanna Alves de Barros; Pryscilla Moura Lombardi; Rafael Bessa; Paulina Arroyo-Gerala; Rafael Cerqueira Castro de Souza; Rafael D. Zenni; Rafael Hoogesteijn; Rafael Souza Cruz Alves; Ramon Lima Silva; Ramonna de Oliveira; Raone Beltrão-Mendes; Raony de Macêdo Alencar; Renan Lieto Alves Ribeiro; Renata Pardini; Renata Twardowsky Ramalho Bonikowski; Renata Valls Pagotto; Ricardo Augusto Dias; Ricardo Bassini-Silva; Ricardo Corassa Arrais; Ricardo Sampaio; Roberta Montanheiro Paolino; Roberto Fusco-Costa; Roberto Guilherme Trovati; Robson Odeli Espíndola Hack; Rodiney de Arruda Mauro; Rodrigo de Almeida Nobre; Rodrigo Lima Massara; Rodrigo Medina Fróes da Silva; Rogério Cunha de Paula; Rogério Grassetto Teixeira da Cunha; Rômulo Theodoro Costa; Rosane Vera Marques; Ronaldo Gonçalves Morato; Ricardo S. Bovendorp; Rubia Santana Andrade; Salvatore Siciliano; Samara Arsego Guaragni; Samir Gonçalves Rolim; Samuel Astete; Sandra Maria Hartz; Santiago Carvalho; Sara Cortez; Saulo Meneses Silvestre de Sousa; Saulo Ramos Lima; Sérgio Bazilio; Silvana Back Franco; Simone Rebouças Martins; Soledad de Bustos; Stefani Gabrieli Age; Stephen F. Ferrari; Talitha Mayumi Francisco; Tatiane Micheletti; Thales Renato Ochotorena de Freitas; Thiago Ferreira Rodrigues; Ubiratan Piovezan; Valeria L. Martin-Albarracin; Valeria Towns; Valquíria Cabral Araújo; Verônica Parente Gomes de Araujo; Verónica Victoria Benitez; Victor Leandro-Silva; Vinicius Alberici; Vinícius Peron de Oliveira Gasparotto; Vinícius Santana Orsini; V. S. Silva; Viviana B. Rojas Bonzi; Viviane Maria Guedes Layme; Victor Hugo Duarte da Silva; Walfrido Moraes Tomas; Waldney Pereira Martins; Walna Micaelle de Moraes Pires; Wellington Hannibal; Wesley Dáttilo; Viviane Mottin; Whaldener Endo; William Bercê; William Douglas de Carvalho; Paula Akkawi; Yan Gabriel Celli Ramos; Yenifer G. Rodríguez-Calderón; Yuri Raia Mendes; Yuri Geraldo Gomes Ribeiro; Zilca Campos; Mauro Galetti; Milton Cezar Ribeiro;AbstractBiological invasion is one of the main threats to native biodiversity. For a species to become invasive, it must be voluntarily or involuntarily introduced by humans into a nonnative habitat. Mammals were among first taxa to be introduced worldwide for game, meat, and labor, yet the number of species introduced in the Neotropics remains unknown. In this data set, we make available occurrence and abundance data on mammal species that (1) transposed a geographical barrier and (2) were voluntarily or involuntarily introduced by humans into the Neotropics. Our data set is composed of 73,738 historical and current georeferenced records on alien mammal species of which around 96% correspond to occurrence data on 77 species belonging to eight orders and 26 families. Data cover 26 continental countries in the Neotropics, ranging from Mexico and its frontier regions (southern Florida and coastal‐central Florida in the southeast United States) to Argentina, Paraguay, Chile, and Uruguay, and the 13 countries of Caribbean islands. Our data set also includes neotropical species (e.g., Callithrix sp., Myocastor coypus, Nasua nasua) considered alien in particular areas of Neotropics. The most numerous species in terms of records are from Bos sp. (n = 37,782), Sus scrofa (n = 6,730), and Canis familiaris (n = 10,084); 17 species were represented by only one record (e.g., Syncerus caffer, Cervus timorensis, Cervus unicolor, Canis latrans). Primates have the highest number of species in the data set (n = 20 species), partly because of uncertainties regarding taxonomic identification of the genera Callithrix, which includes the species Callithrix aurita, Callithrix flaviceps, Callithrix geoffroyi, Callithrix jacchus, Callithrix kuhlii, Callithrix penicillata, and their hybrids. This unique data set will be a valuable source of information on invasion risk assessments, biodiversity redistribution and conservation‐related research. There are no copyright restrictions. Please cite this data paper when using the data in publications. We also request that researchers and teachers inform us on how they are using the data.
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For further information contact us at helpdesk@openaire.eu21 citations 21 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu description Publicationkeyboard_double_arrow_right Article 2023 FranceWiley SSHRCSSHRCAuthors: Juliana Isaac; Jaime Luís Carrera; Ottoniel Monterroso Rivas; Juventino Gálvez Ruano; +7 AuthorsJuliana Isaac; Jaime Luís Carrera; Ottoniel Monterroso Rivas; Juventino Gálvez Ruano; María Rueda Martínez; Azam Khowaja; Julian Russell; Julien Malard‐Adam; Humberto Monardes; Jan Adamowski; Hugo Melgar‐Quiñonez;doi: 10.1002/sdr.1739
AbstractVarious methods have been proposed to analyze national trends of malnutrition and food insecurity; however, these methods often fail to consider regional specificities that drive national food security dynamics. This case study seeks to close this gap through the novel use of participatory causal loop diagrams (CLDs) to analyze the malnutrition crisis and food security dynamics across diverse regions of Guatemala. Stakeholders from six municipalities with divergent food security outcomes, within territories of similar socioeconomic composition, created CLDs by identifying trends, causes, and consequences of malnutrition and food security. Characterizing and assessing these trends, referred to as the food security dynamic, are the primary goals of this paper. Key results include identification of the complex reinforcing relationship between marginalization, education, and health, which affects food insecurity and malnutrition in Guatemala in a nonlinear way. These results elucidate how similar communities can experience divergent food security outcomes and inform locally appropriate solutions. © 2023 The Authors. System Dynamics Review published by John Wiley & Sons Ltd on behalf of System Dynamics Society.
System Dynamics Revi... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert System Dynamics Revi... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022SAGE Publications SSHRCSSHRCAuthors: Kenneth Barnett Tankersley; Nicholas P. Dunning; David L. Lentz; Christopher Carr; +3 AuthorsKenneth Barnett Tankersley; Nicholas P. Dunning; David L. Lentz; Christopher Carr; Liwi Grazioso; Trinity L. Hamilton; Kathryn Reese-Taylor;Elemental analyzer (EA) Isotope Ratio Mass Spectrometry was used to measure ∂13C values on soil organic matter from reservoirs and depressions at the ancient Maya urban centers of Tikal, Guatemala and Yaxnohcah, Mexico. Variation in δ13C values on soil organic matter were > −2.0‰, which suggests enrichment from C4 plants including maize, other tropical grasses (Poaceae), and tropical sedges (Cyperaceae), CAM plants (Clusia sp.), and cyanobacteria (blue-green algae). Cyanobacteria were likely a major contributor to the 13C enrichment of soil organic matter in Maya reservoirs and depressions, which has obfuscated our understanding of ancient Maya maize production. It is possible that the Maya used cyanobacteria as a fertilizer, which enriched agricultural field soil organic matter.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2020 PolandElsevier BV SSHRCSSHRCRand, Asta; Matute, Varinia; Grimes, Vaugham; Freiwald, Carolyn; Źrałka, Jarosław; Koszkul, Wiesław;Abstract The site of Nakum has been the subject of extensive archaeological investigation, but little is known of the subsistence practices or mobility of the Prehispanic Maya who lived there. This study employed a multi-isotopic approach to investigate the diet and mobility of the Nakum Maya. Despite the poor preservation typical of tropical environments, the isotopic compositions of five human bone samples were compared to carbon, nitrogen, and sulphur isotope baselines developed from 16 archaeological faunal specimens from Nakum. The bone collagen carbon and nitrogen results indicate that the Nakum Maya consumed a maize-based diet supplemented with other cultigens and animal protein. Stable carbon isotope values from the bioapatite of five human bone and seven human tooth samples show that maize was an important dietary component throughout life, although two individuals consumed less maize during childhood. The bone collagen sulphur data and strontium isotope results from three teeth indicate that the Nakum individuals consumed local foods. However, two human oxygen isotope values were lower than the local range developed from human bone and tooth enamel samples, indicating these individuals moved to the site from outside the Maya region. Although the faunal sulphur values were much higher than expected at an inland site due to the underlying marine carbonate limestone geology, one faunal sample exhibited a very low value, suggesting that it was imported to the site over a considerable distance. Finally, this is the first study to publish baseline sulphur isotope values derived from Maya faunal remains and contributes to a better understanding of this isotope system in the Maya region.
Jagiellonian Univers... arrow_drop_down Journal of Archaeological Science ReportsArticle . 2020License: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Jagiellonian Univers... arrow_drop_down Journal of Archaeological Science ReportsArticle . 2020License: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2019Elsevier BV SSHRCSSHRCAuthors: Christina T. Halperin; Jean-Baptiste Le Moine; Enrique Perez Zambrano;Christina T. Halperin; Jean-Baptiste Le Moine; Enrique Perez Zambrano;Abstract It is increasingly common to conceptualize infrastructure not just as a built feature in the landscape, but as a shifting and entangled system that includes humans, different institutions and social groups, spiritual forces, and ecologies. These different aspects of infrastructure, however, are best identified at different temporal scales of analysis. Recent research at the Maya site of Ucanal in Peten, Guatemala, documents centrally managed water management features, such as canals and inverted causeways, that drain water away from the urban site core and into a nearby river, the Rio Mopan. Their construction and use during the Terminal Classic period (ca. AD 830–1000), a period often associated with increasing aridity and drought, highlight the need to consider shorter temporal spans in which droughts were interspersed with hurricanes and periods of high precipitation. Furthermore, the consideration of even smaller temporal frames, on the order of annual dry-wet season cycles and daily practices, highlight the often overlooked aspects of ancient Maya water infrastructure systems: the labor necessary to maintain and repair canals and roads, deities or supernatural forces responsible for life-giving and life-taking rains, and the labor of common peoples who hauled water on a daily basis.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu8 citations 8 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Preprint 2020Copernicus GmbH SSHRCSSHRCJessica Bou Nassar; Julien Malard; Jan Adamowski; Marco Ramírez Ramírez; Wietske Medema; Héctor Tuy;Abstract. New and unconventional sources of data that enhance our understanding of internal interactions between socio-economic and hydrological processes are central to sociohydrological modelling. Participatory modelling (PM) departs from conventional modelling tools by informing and conceptualizing sociohydrological models through stakeholder engagement. However, the implementation of most PM processes remains biased, particularly in regions where marginalized communities are present. Most PM processes are not cognizant of differentiation and diversity within a society and tend to treat communities as homogeneous units with similar capabilities, needs, and interests. This undifferentiation leads to the exclusion of key actors, many of whom are associated with marginalized communities. In this study, a participatory model-building framework (PMBF), aiming to ensure the inclusiveness of marginalized stakeholders – who (1) have low literacy, (2) are comparatively powerless, and/or (3) are associated with a minoritized language – in participatory sociohydrological modelling is proposed. The adopted approach employs interdisciplinary storylines to inform and conceptualize system dynamics-based sociohydrological models. The suggested method is underpinned by the Multi-level Perspective (MLP) framework, which was developed by Geels et al. (2002) to conceptualize socio-technical transitions and modified in this study to accommodate the development of interdisciplinary storylines. A case study was conducted in Atitlán Basin, Guatemala, to understand the relationships that govern the lake's cultural eutrophication problem. This research integrated key stakeholders from the indigenous Mayan community, associated with diverse literacy ranges, and emerging from three different minoritized linguistic backgrounds (Kaqchikel, Tz'utujil, and K'iche'), in the PM activity. The proposed approach facilitated the effective participation of marginalized stakeholders. Moreover, it (1) helped develop an understanding of mechanisms governing the eutrophication of the lake, (2) initiated collaborations between Indigenous and non-indigenous stakeholders, and (3) extracted potential solutions targeting the system’s leverage points. The participatory model-building activity generated three submodules: (1) agriculture, (2) tourism, and (3) environmental awareness. Each submodule contained socioculturally specific mechanisms associated with nutrient discharge to Lake Atitlán. The delineation of such nuanced relationships helps develop well-targeted policies and best management practices. Additionally, the suggested process helped decrease the impact of power imbalances in water resources management and empower community-based decision-making.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu2 citations 2 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2021 FranceCopernicus GmbH SSHRCSSHRCJessica Bou Nassar; Julien Malard; Jan Adamowski; Marco Ramírez Ramírez; Wietske Medema; Héctor Tuy;Abstract. Unconventional sources of data that enhance our understanding of internal interactions between socio-economic and hydrological processes are central to modeling human–water systems. Participatory modeling (PM) departs from conventional modeling tools by informing and conceptualizing human–water systems through stakeholder engagement. However, the implementation of many PM processes remains biased, particularly in regions where marginalized communities are present. Many PM processes are not cognizant of differentiation and diversity within a society and tend to treat communities as homogeneous units with similar capabilities, needs, and interests. This undifferentiation leads to the exclusion of key actors, many of whom are associated with marginalized communities. In this study, a participatory model-building framework (PMBF), aiming to ensure the inclusiveness of marginalized stakeholders – who (1) have low literacy, (2) are comparatively powerless, and/or (3) are associated with a marginalized language – in participatory modeling, is proposed. The adopted approach employs interdisciplinary storylines to inform and conceptualize human–water systems. The suggested method is underpinned by the multi-level perspective (MLP) framework, which was developed by Geels et al. (2002) to conceptualize socio-technical transitions and modified in this study to accommodate the development of interdisciplinary storylines. A case study was conducted in Atitlán Basin, Guatemala, to understand the relationships that govern the lake's cultural eutrophication problem. This research integrated key stakeholders from the Indigenous Mayan community, associated with diverse literacy ranges, and emerging from three different marginalized linguistic backgrounds (Kaqchikel, Tz'utujil, and K'iche'), in the PM activity. The proposed approach facilitated the participation of marginalized stakeholders. Moreover, it (1) helped develop an understanding of mechanisms governing the eutrophication of the lake, (2) initiated a dialogue between Indigenous Peoples and non-Indigenous stakeholders, and (3) extracted potential solutions targeting the system's leverage points. The participatory model-building activity generated three submodules: (1) agriculture, (2) tourism, and (3) environmental awareness. Each submodule contained socioculturally specific mechanisms associated with nutrient discharge to Lake Atitlán. The delineation of such nuanced relationships helps develop well-targeted policies and best management practices (BMPs). Additionally, the suggested process helped decrease the impact of power imbalances in water resources management and empowered community-based decision-making.
Hydrology and Earth ... arrow_drop_down Hydrology and Earth System Sciences; Hydrology and Earth System Sciences (HESS)Article . 2021License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu8 citations 8 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Hydrology and Earth ... arrow_drop_down Hydrology and Earth System Sciences; Hydrology and Earth System Sciences (HESS)Article . 2021License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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description Publicationkeyboard_double_arrow_right Article 2021Elsevier BV SSHRCSSHRCAuthors: Delma Nataly Castelblanco-Martínez; Rafael A. Moreno-Arias; Julián A. Velasco; Jorge W. Moreno-Bernal; +5 AuthorsDelma Nataly Castelblanco-Martínez; Rafael A. Moreno-Arias; Julián A. Velasco; Jorge W. Moreno-Bernal; S. Restrepo; Elkin A. Noguera-Urbano; M.P. Baptiste; L.M. García-Loaiza; G. Jiménez;Abstract Biological invasions are a big concern due to their potential to impact ecosystems, as well as local people. The hippo Hippopotamus amphibius, native to Africa, has invaded extensive areas of the Magdalena River basin (Colombia) over the past decades, and has been considered the largest invasive animal in the world. Here, we propose the use of two approaches of predictive modeling, in order to guide recommendations for the management of this biological invasion. First, we developed a population viability analysis (PVA) to simulate a hypothetical population growth under different management scenarios. Next, we explored the potential invasion area under future climate change scenarios throughout ecological niche modeling analyses. PVA models predicted that in the absence of an intense culling/hunting pressure, the population size will continue to steadily increase, which is consistent with the population growth observed during the last 20 years. Furthermore, our static and dynamic habitat suitability projections suggested that without dispersal limiting factors, potential colonization habitat for hippos may become very extensive across the landscape and can be favored by climate change in the future. Therefore, our findings show the urgent need of taking critical management decisions by the Colombian authorities, which should be focused on limiting the hippos' population growth and expansion. Ignoring cost-benefit considerations for the control of this invasive species may have unexpected and long-term social and ecological implications. However, the proposal of a course of action can become controversial when the species has a charismatic value for the society, regardless of its ecological or social impact.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu18 citations 18 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu- NEOTROPICAL ALIEN MAMMALS: a data set of occurrence and abundance of alien mammals in the Neotropics
description Publicationkeyboard_double_arrow_right Article 2020 UruguayWiley SSHRCSSHRCAuthors: Clarissa Alves da Rosa; Bruno R. Ribeiro; Vanesa Bejarano; Fernando Henrique Puertas; +499 AuthorsClarissa Alves da Rosa; Bruno R. Ribeiro; Vanesa Bejarano; Fernando Henrique Puertas; Adriana Bocchiglieri; Adriana Loeser dos Santos Barbosa; Adriano Garcia Chiarello; Adriano Pereira Paglia; Adriele Aparecida Pereira; Adryelle Francisca de Souza Moreira; Agnis Cristiane de Souza; Ailin Gatica; Akyllan Zoppi Medeiro; Alan Deivid Pereira; Alan Gerhardt Braz; Alberto Yanosky; Alejandro E. J. Valenzuela; Alessandra Bertassoni; Alessandra dos Santos Venturini do Prado; Alessandro Rocha; Alex Augusto Abreu Bovo; Alex Bager; Alexandra Cravino; Alexandra S. Pires; Alexandre Camargo Martensen; Alexandre Filippini; Alexandre Reis Percequillo; Alexandre Vogliotti; Alexsander Zamorano Antunes; Aline Cristina Leite de Oliveira; Allan Jefferson da Silva de Oliveira; Allison L. Devlin; Almir de Paula; Aluane Silva Ferreira; Alvaro García-Olaechea; Amanda L. Subalusky; Amadeo Sánchez; Ana Carla Medeiros Morato de Aquino; Ana Carolina Srbek-Araujo; Amane Paldês Gonçales; Ana Caroline L. Araújo; Ana Cecilia Gozzi; Ana Cecilia Ochoa; Ana Cristyna Reis Lacerda; Ana Maria de Oliveira Paschoal; Ana Paula Nascimento Gomes; Ana Paula Potrich; Ana Priscila Medeiros Olímpio; Ana Rojas; Ana Yoko Ykeuti Meiga; Analice Maria Calaça; Anderson Feijó; Anderson Pagoto; André Borja Miranda; André Chein Alonso; André Felipe Barreto-Lima; Andre Monnerat Lanna; André Luís Luza; André Tavares; André Valle Nunes; Andreas Kindel; Andressa Gatti; Andrezza Bellotto Nobre; Anna Carolina Figueiredo de Albuquerque; Antonio de la Torre; Antonio M. Mangione; Antonio Rossano Mendes Pontes; Arthur Soares Fernandes; Augusto João Piratelli; Ariel Guilherme Santos do Nascimento; Beatris Felipe Rosa; Beatriz Azevedo Cezila; Benoit de Thoisy; Bianca Ingberman; Bianca Köhler; Bianca Cruz Morais; Bibiana Gómez-Valencia; Bruna Bertagni de Camargo; Bruna Tamasauskas; Bruno Busnello Kubiak; Bruno H. Saranholi; Bruno K. Nakagawa; Burton K. Lim; Calebe Pereira Mendes; Camila Alvez Islas; Camila Aoki; Camila Cantagallo Devids; Camila Figueiredo; Camila Matias Goes de Abreu; Camila Raquel Silva Oliveira; Camila Righetto Cassano; Camile Lugarini; Carin Caputo; Carla Cristina Gestich; Carla Denise Tedesco; Carlos Benhur Kasper; Carlos De Angelo; Carlos Eduardo Fragoso; Carlos Frederico Duarte Rocha; Carlos Eduardo Verona; Carlos Henrique Salvador; Carlos Leonardo Vieira; Carlos Roberto Abrahão; Carlos Rodrigo Brocardo; Carolline Zatta Fieker; Caryne Braga; Catalina Sánchez Lalinde; Cecília Bueno; Christine Del Vechio Koike; Christoph Knogge; Cindy M. Hurtado; Clarice Silva Cesário; Claudia Zukeran Kanda; Sebastián Andrés Costa; Cristiana Simão Seixas; Cristiano Trapé Trinca; Cristina Fabiola López-Fuerte; Cristina Jaques da Cunha; Cyntia Cavalcante Santos; Daiane Buscariol; Daiane Chaves do Nascimento; Daniel da Silva Ferraz; Daniel Galiano; Daniel Henrique Homem; Daniel Jesús-Espinosa; Daniela A. S. Bôlla; Daniele Janina Moreno; Danielle de Oliveira Moreira; Danielle Leal Ramos; Darci Moraes Barros-Battesti; Davi Castro Tavares; Dayvid Rodrigues Couto; Diana Letícia Kruger Pacheco Carvalho; Diego Afonso Silva; Diego Queirolo; Diego Varela; Dilmar Alberto Gonçalves de Oliveira; Diogo Cavenague Casanova; Douglas de Matos Dias; Douglas Machado da Silva; Eder Barbier; Edgar Federico Rivadeneira; Eduardo Roberto Alexandrino; Eduardo G. Carrano; Eduardo Martins Venticinque; Edwin L. Hernández-Pérez; Egberto da Fonseca Casazza; Elizabeth P. Anderson; Elmary da Costa Fraga; Emerson M. Vieira; Emiliano Guijosa-Guadarrama; Enrique González; Erica Vanessa Maggiorini; Erick Francisco Aguiar; Erika de la Peña-Cuéllar; Ezequiel Pedó; Fabiana Cristina Silveira Alves de Melo; Fabiana Lopes Rocha; Fabiana Luques Fonseca; Fabiane Girardi; Fabiano Rodrigues de Melo; Fabio de Oliveira Roque; Fabíola Keesen Ferreira; Felipe Bortolotto Peters; Felipe Moreli Fantacini; Felipe Pedrosa; Felipe Pessoa da Silva; Felipe Vélez-García; Fernanda Delborgo Abra; Fernanda Guedes da Silva; Fernanda Maria Neri; Fernando Carvalho; Fernandode Camargo Passos; Fernando de Castro Jacinavicius; Fernando Ferreira; Fernando Ferreira de Pinho; Fernando Gonçalves; Fernando Lima; Fernando M. Contreras-Moreno; Fernando Silvério Ribeiro; Fernando R. Tortato; Filipe M. Patel; Flavia Caruso; Flávio Kulaif Ubaid; Francesca Belem Lopes Palmeira; Francisco Grotta Neto; Franco L. Souza; Francys E. da Veiga da Costa; Frederico Gemesio Lemos; Gabriel S. Magezi; Gabriel Ferreira Vianna Di Panigai; Gabriel Selbach Hofmann; Gabriela Heliodoro; Gabriela Rosa Graviola; Gabrielle Ribeiro de Andrade; Germán Jiménez Romero; Gabriela Teixeira Duarte; Geruza Leal Melo; Geverson Luiz Dierings; Gilberto Sabino-Santos; Geovana Linhares de Oliveira; Gindomar Gomes Santana; Giordano Ciocheti; Gisele Lamberti Zanirato; Giselle Bastos Alves; Graziele Oliveira Batista; Greici Maia Behling; Guilherme Casoni da Rocha; Guilherme Mourão; Gustavo Alves da Costa Toledo; Gustavo Gonsioroski; Gustavo Rodrigues Canale; Karl-Ludwig Schuchmann; Harley Sebastião; Helena Alves do Prado; Helena Godoy Bergallo; Henrique Llacer Roig; Henrique Rajão; Henrique Santiago Alberto Carlos; Hiago Ermenegildo; Hilda Fátima de Jesus Pena; Hilton Entringer Júnior; Hipólito Ferreira Paulino Neto; Hudson de Macedo Lemos; Hugo del Castillo; Hugo Fernandes-Ferreira; Hugo Ignacio Coitiño Banquero; Ignacio Roesler; Igor Pfeifer Coelho; Isabel Muniz Bechara; Isabel Salgueiro Lermen; Isac Mella Méndez; Gabriela Schuck; Isadora Beraldi Esperandio; Italo Mourthe; Itiberê P. Bernardi; Jacqueline R. Miller; Jader Marinho-Filho; Jardel Brandão Seibert; Javier Hinojosa; Jeffrey J. Thompson; Jéssica Abonizio Gouvea; Jessica Castro-Prieto; Jéssica Paloma Ferreira; Jimmy Pincheira-Ulbrich; Joana Zorzal Nodari; João Carlos Zecchini Gebin; João Gabriel Ribeiro Giovanelli; João M. D. Miranda; João Pedro Souza-Alves; João Rafael Gomes de Almeida Marins; Jociel Ferreira Costa; Jonas Sponchiado; Jonathas Linds de Souza; Jorge Alberto Gallo; Jorge José Cherem; José Luis Passos Cordeiro; José Maurício Barbanti Duarte; José Oliveira Dantas; José Salatiel Rodrigues Pires; Juan Andrés Martínez Lanfranco; Juan Camilo de la Cruz Godoy; Juan Carlos Rudolf; Juan Francisco Tellarini; Juan L. Peña-Mondragón; Juan Pablo Arrabal; Juan I. Reppucci; Juan Ruiz-Esparza; Júlia Beduschi; Júlia Emi de Faria Oshima; José Soares Ferreira Neto; Juliane Pereira-Ribeiro; Juliani Bruna Zanoni; Juliano André Bogoni; Juliana Rodrigues Ferreira; Júlio César Bicca-Marques; Pietro de Oliveira Scarascia; Karlo G. Guidoni-Martins; Kathrin Burs; Katia Maria Paschoaletto Micchi de Barros Ferraz; Kátia Regina Pisciotta; Katyucha Von Kossel de Andrade Silva; Keynes de la Cruz-Félix; Kimberly Danielle Rodrigues de Morais; Lana Pavão Candelária; Larissa Fornitano; Larissa Oliveira Gonçalves; Laura Johanna Nova León; Layla Reis de Andrade; Leandro de Oliveira Marques; Leandro Dorigan de Macedo; Leandro Santana Moreira; Leandro Silveira; Leonardo Henrique da Silva; Leandro Jerusalinsky; Leonardo La Serra; Leonardo Marques Costa; Leonardo Sartorello; Leticia Prado Munhoes; Liany Regina B. Oliveira-Silva; Ligia Ferracine de Pina; Lilian Bonjorne; Lilian Elaine Rampim; Lilian P. Sales; Lucas Gonçalves da Silva; Lucas Lacerda Toth Quintilham; Lucas Neves Perillo; Lucía I. Rodríguez-Planes; Luciana Souza Araújo; Lina Marcela García Loaiza; Luciano Carramaschi de Alagão Querido; Luciano Ferreira da Silva; Luciano Tessare Bopp; Ludmila Hufnagel; Luiz Flamarion B. Oliveira; Luiz Gustavo R. Oliveira-Santos; Luiz Henrique Lyra; Luiza Neves Guimarães; Luziene Conceição de Sousa; Javier de la Maza; Magnus Machado Severo; Maísa Ziviani Alves Martins; Marcela Alvares Oliveira; Marcela Figuerêdo Duarte Moraes; Marcela Guimarães Moreira Lima; Marcell Soares Pinheiro; Marcella do Carmo Pônzio; Marcello Guerreiro; Marcelo Cervini; Marcelo da Silva; Marcelo Juliano Rabelo Oliveira; Marcelo Magioli; Marcelo Passamani; Marcelo Silva de Almeida; Márcio Leite de Oliveira; Marcos Adriano Tortato; Marcos Antônio Melo; Marcus Vinícius Vieira; Maria Augusta Andrade; Maria Claudene Barros; Maria Cristina Ferreira do Rosario; Maria Dolores Alves dos Santos Domit; Maria Emília de Avelar Fernandes; María Eugenia Iezzi; María José Andrade-Núñez; Maria Lucia Lorini; Maria Santina de Castro Morini; Mariana B. Nagy-Reis; Mariana Bueno Landis; Mariana Sampaio Xavier; Mariane da Cruz Kaizer; Mariano Maudet Bergel; Mariela Borgnia; Marília A. S. Barros; Marina Lima da Silva; Marina Ochoa Favarini; Marina Sales Munerato; Marina T. Zaluar; Marina Winter; Marina Xavier da Silva; Marina Zanin; Marinêz Isaac Marques; Mario Haberfeld; Mario S. Di Bitetti; Maron Galliez; Martin Roberto Del Valle Alvarez; Marina Rivero; Mateus Melo Dias; Mateus Yan de Oliveira; Matheus Gonçalves dos Reis; Matheus Rocha Jorge Corrêa; Maurício Eduardo Graipel; Mauricio Neves Godoi; Mauricio Osvaldo Moura; Mário Luís Orsi; Mauro Sanvicente Lopez; Mayara Guimarães Beltrão; Micaela Camino; Michel Barros Faria; Michel Miretzki; Micheli Ribeiro Luiz; Miguel Coutinho Moretta Monteiro; Milene Alves-Eigenheer; Miriam Lucia Lages Perilli; Monicque Silva Pereira; Natalia Mariana Denkiewicz; Natalie Olifiers; Natasha Moraes de Albuquerque; Nathália Fernandes Canassa; Newton Gurgel Filho; Nicole da Rosa Oliveira; Nielson Pasqualotto; Nilton C. Cáceres; Nivaldo Peroni; Noeli Zanella; Olivier Pays; Orlando Acevedo-Charry; Nelson Henrique de Almeida Curi; Patricia Ribeiro Salgado Pinha; Pablo G. Perovic; Pablo Rodrigues Gonçalves; Paloma Marques Santos; Pamella Gusmão de Goés Brennand; Patrício Adriano da Rocha; Patrick Ricardo De Lázari; Paula Fabiana Pinheiro; Paula Koeler Lira; Paula Modenesi Ferreira; Paula Sanches Martin; Paulo de Tarso Zuquim Antas; Paulo Henrique Peira Ruffino; Paulo H. S. A. Camargo; Paulo Landgref Filho; Pedro Cordeiro-Estrela; Pedro Henrique de Faria Peres; Paula Cristina Rodrigues de Almeida Maués; Pierre-Cyril Renaud; Ricardo Sartorello; Pollyanna Alves de Barros; Pryscilla Moura Lombardi; Rafael Bessa; Paulina Arroyo-Gerala; Rafael Cerqueira Castro de Souza; Rafael D. Zenni; Rafael Hoogesteijn; Rafael Souza Cruz Alves; Ramon Lima Silva; Ramonna de Oliveira; Raone Beltrão-Mendes; Raony de Macêdo Alencar; Renan Lieto Alves Ribeiro; Renata Pardini; Renata Twardowsky Ramalho Bonikowski; Renata Valls Pagotto; Ricardo Augusto Dias; Ricardo Bassini-Silva; Ricardo Corassa Arrais; Ricardo Sampaio; Roberta Montanheiro Paolino; Roberto Fusco-Costa; Roberto Guilherme Trovati; Robson Odeli Espíndola Hack; Rodiney de Arruda Mauro; Rodrigo de Almeida Nobre; Rodrigo Lima Massara; Rodrigo Medina Fróes da Silva; Rogério Cunha de Paula; Rogério Grassetto Teixeira da Cunha; Rômulo Theodoro Costa; Rosane Vera Marques; Ronaldo Gonçalves Morato; Ricardo S. Bovendorp; Rubia Santana Andrade; Salvatore Siciliano; Samara Arsego Guaragni; Samir Gonçalves Rolim; Samuel Astete; Sandra Maria Hartz; Santiago Carvalho; Sara Cortez; Saulo Meneses Silvestre de Sousa; Saulo Ramos Lima; Sérgio Bazilio; Silvana Back Franco; Simone Rebouças Martins; Soledad de Bustos; Stefani Gabrieli Age; Stephen F. Ferrari; Talitha Mayumi Francisco; Tatiane Micheletti; Thales Renato Ochotorena de Freitas; Thiago Ferreira Rodrigues; Ubiratan Piovezan; Valeria L. Martin-Albarracin; Valeria Towns; Valquíria Cabral Araújo; Verônica Parente Gomes de Araujo; Verónica Victoria Benitez; Victor Leandro-Silva; Vinicius Alberici; Vinícius Peron de Oliveira Gasparotto; Vinícius Santana Orsini; V. S. Silva; Viviana B. Rojas Bonzi; Viviane Maria Guedes Layme; Victor Hugo Duarte da Silva; Walfrido Moraes Tomas; Waldney Pereira Martins; Walna Micaelle de Moraes Pires; Wellington Hannibal; Wesley Dáttilo; Viviane Mottin; Whaldener Endo; William Bercê; William Douglas de Carvalho; Paula Akkawi; Yan Gabriel Celli Ramos; Yenifer G. Rodríguez-Calderón; Yuri Raia Mendes; Yuri Geraldo Gomes Ribeiro; Zilca Campos; Mauro Galetti; Milton Cezar Ribeiro;AbstractBiological invasion is one of the main threats to native biodiversity. For a species to become invasive, it must be voluntarily or involuntarily introduced by humans into a nonnative habitat. Mammals were among first taxa to be introduced worldwide for game, meat, and labor, yet the number of species introduced in the Neotropics remains unknown. In this data set, we make available occurrence and abundance data on mammal species that (1) transposed a geographical barrier and (2) were voluntarily or involuntarily introduced by humans into the Neotropics. Our data set is composed of 73,738 historical and current georeferenced records on alien mammal species of which around 96% correspond to occurrence data on 77 species belonging to eight orders and 26 families. Data cover 26 continental countries in the Neotropics, ranging from Mexico and its frontier regions (southern Florida and coastal‐central Florida in the southeast United States) to Argentina, Paraguay, Chile, and Uruguay, and the 13 countries of Caribbean islands. Our data set also includes neotropical species (e.g., Callithrix sp., Myocastor coypus, Nasua nasua) considered alien in particular areas of Neotropics. The most numerous species in terms of records are from Bos sp. (n = 37,782), Sus scrofa (n = 6,730), and Canis familiaris (n = 10,084); 17 species were represented by only one record (e.g., Syncerus caffer, Cervus timorensis, Cervus unicolor, Canis latrans). Primates have the highest number of species in the data set (n = 20 species), partly because of uncertainties regarding taxonomic identification of the genera Callithrix, which includes the species Callithrix aurita, Callithrix flaviceps, Callithrix geoffroyi, Callithrix jacchus, Callithrix kuhlii, Callithrix penicillata, and their hybrids. This unique data set will be a valuable source of information on invasion risk assessments, biodiversity redistribution and conservation‐related research. There are no copyright restrictions. Please cite this data paper when using the data in publications. We also request that researchers and teachers inform us on how they are using the data.
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For further information contact us at helpdesk@openaire.eu21 citations 21 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu description Publicationkeyboard_double_arrow_right Article 2023 FranceWiley SSHRCSSHRCAuthors: Juliana Isaac; Jaime Luís Carrera; Ottoniel Monterroso Rivas; Juventino Gálvez Ruano; +7 AuthorsJuliana Isaac; Jaime Luís Carrera; Ottoniel Monterroso Rivas; Juventino Gálvez Ruano; María Rueda Martínez; Azam Khowaja; Julian Russell; Julien Malard‐Adam; Humberto Monardes; Jan Adamowski; Hugo Melgar‐Quiñonez;doi: 10.1002/sdr.1739
AbstractVarious methods have been proposed to analyze national trends of malnutrition and food insecurity; however, these methods often fail to consider regional specificities that drive national food security dynamics. This case study seeks to close this gap through the novel use of participatory causal loop diagrams (CLDs) to analyze the malnutrition crisis and food security dynamics across diverse regions of Guatemala. Stakeholders from six municipalities with divergent food security outcomes, within territories of similar socioeconomic composition, created CLDs by identifying trends, causes, and consequences of malnutrition and food security. Characterizing and assessing these trends, referred to as the food security dynamic, are the primary goals of this paper. Key results include identification of the complex reinforcing relationship between marginalization, education, and health, which affects food insecurity and malnutrition in Guatemala in a nonlinear way. These results elucidate how similar communities can experience divergent food security outcomes and inform locally appropriate solutions. © 2023 The Authors. System Dynamics Review published by John Wiley & Sons Ltd on behalf of System Dynamics Society.
System Dynamics Revi... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert System Dynamics Revi... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1002/sdr.1739&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022SAGE Publications SSHRCSSHRCAuthors: Kenneth Barnett Tankersley; Nicholas P. Dunning; David L. Lentz; Christopher Carr; +3 AuthorsKenneth Barnett Tankersley; Nicholas P. Dunning; David L. Lentz; Christopher Carr; Liwi Grazioso; Trinity L. Hamilton; Kathryn Reese-Taylor;Elemental analyzer (EA) Isotope Ratio Mass Spectrometry was used to measure ∂13C values on soil organic matter from reservoirs and depressions at the ancient Maya urban centers of Tikal, Guatemala and Yaxnohcah, Mexico. Variation in δ13C values on soil organic matter were > −2.0‰, which suggests enrichment from C4 plants including maize, other tropical grasses (Poaceae), and tropical sedges (Cyperaceae), CAM plants (Clusia sp.), and cyanobacteria (blue-green algae). Cyanobacteria were likely a major contributor to the 13C enrichment of soil organic matter in Maya reservoirs and depressions, which has obfuscated our understanding of ancient Maya maize production. It is possible that the Maya used cyanobacteria as a fertilizer, which enriched agricultural field soil organic matter.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2020 PolandElsevier BV SSHRCSSHRCRand, Asta; Matute, Varinia; Grimes, Vaugham; Freiwald, Carolyn; Źrałka, Jarosław; Koszkul, Wiesław;Abstract The site of Nakum has been the subject of extensive archaeological investigation, but little is known of the subsistence practices or mobility of the Prehispanic Maya who lived there. This study employed a multi-isotopic approach to investigate the diet and mobility of the Nakum Maya. Despite the poor preservation typical of tropical environments, the isotopic compositions of five human bone samples were compared to carbon, nitrogen, and sulphur isotope baselines developed from 16 archaeological faunal specimens from Nakum. The bone collagen carbon and nitrogen results indicate that the Nakum Maya consumed a maize-based diet supplemented with other cultigens and animal protein. Stable carbon isotope values from the bioapatite of five human bone and seven human tooth samples show that maize was an important dietary component throughout life, although two individuals consumed less maize during childhood. The bone collagen sulphur data and strontium isotope results from three teeth indicate that the Nakum individuals consumed local foods. However, two human oxygen isotope values were lower than the local range developed from human bone and tooth enamel samples, indicating these individuals moved to the site from outside the Maya region. Although the faunal sulphur values were much higher than expected at an inland site due to the underlying marine carbonate limestone geology, one faunal sample exhibited a very low value, suggesting that it was imported to the site over a considerable distance. Finally, this is the first study to publish baseline sulphur isotope values derived from Maya faunal remains and contributes to a better understanding of this isotope system in the Maya region.
Jagiellonian Univers... arrow_drop_down Journal of Archaeological Science ReportsArticle . 2020License: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Jagiellonian Univers... arrow_drop_down Journal of Archaeological Science ReportsArticle . 2020License: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.jasrep.2020.102374&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2019Elsevier BV SSHRCSSHRCAuthors: Christina T. Halperin; Jean-Baptiste Le Moine; Enrique Perez Zambrano;Christina T. Halperin; Jean-Baptiste Le Moine; Enrique Perez Zambrano;Abstract It is increasingly common to conceptualize infrastructure not just as a built feature in the landscape, but as a shifting and entangled system that includes humans, different institutions and social groups, spiritual forces, and ecologies. These different aspects of infrastructure, however, are best identified at different temporal scales of analysis. Recent research at the Maya site of Ucanal in Peten, Guatemala, documents centrally managed water management features, such as canals and inverted causeways, that drain water away from the urban site core and into a nearby river, the Rio Mopan. Their construction and use during the Terminal Classic period (ca. AD 830–1000), a period often associated with increasing aridity and drought, highlight the need to consider shorter temporal spans in which droughts were interspersed with hurricanes and periods of high precipitation. Furthermore, the consideration of even smaller temporal frames, on the order of annual dry-wet season cycles and daily practices, highlight the often overlooked aspects of ancient Maya water infrastructure systems: the labor necessary to maintain and repair canals and roads, deities or supernatural forces responsible for life-giving and life-taking rains, and the labor of common peoples who hauled water on a daily basis.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu8 citations 8 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.jaa.2019.101102&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Preprint 2020Copernicus GmbH SSHRCSSHRCJessica Bou Nassar; Julien Malard; Jan Adamowski; Marco Ramírez Ramírez; Wietske Medema; Héctor Tuy;Abstract. New and unconventional sources of data that enhance our understanding of internal interactions between socio-economic and hydrological processes are central to sociohydrological modelling. Participatory modelling (PM) departs from conventional modelling tools by informing and conceptualizing sociohydrological models through stakeholder engagement. However, the implementation of most PM processes remains biased, particularly in regions where marginalized communities are present. Most PM processes are not cognizant of differentiation and diversity within a society and tend to treat communities as homogeneous units with similar capabilities, needs, and interests. This undifferentiation leads to the exclusion of key actors, many of whom are associated with marginalized communities. In this study, a participatory model-building framework (PMBF), aiming to ensure the inclusiveness of marginalized stakeholders – who (1) have low literacy, (2) are comparatively powerless, and/or (3) are associated with a minoritized language – in participatory sociohydrological modelling is proposed. The adopted approach employs interdisciplinary storylines to inform and conceptualize system dynamics-based sociohydrological models. The suggested method is underpinned by the Multi-level Perspective (MLP) framework, which was developed by Geels et al. (2002) to conceptualize socio-technical transitions and modified in this study to accommodate the development of interdisciplinary storylines. A case study was conducted in Atitlán Basin, Guatemala, to understand the relationships that govern the lake's cultural eutrophication problem. This research integrated key stakeholders from the indigenous Mayan community, associated with diverse literacy ranges, and emerging from three different minoritized linguistic backgrounds (Kaqchikel, Tz'utujil, and K'iche'), in the PM activity. The proposed approach facilitated the effective participation of marginalized stakeholders. Moreover, it (1) helped develop an understanding of mechanisms governing the eutrophication of the lake, (2) initiated collaborations between Indigenous and non-indigenous stakeholders, and (3) extracted potential solutions targeting the system’s leverage points. The participatory model-building activity generated three submodules: (1) agriculture, (2) tourism, and (3) environmental awareness. Each submodule contained socioculturally specific mechanisms associated with nutrient discharge to Lake Atitlán. The delineation of such nuanced relationships helps develop well-targeted policies and best management practices. Additionally, the suggested process helped decrease the impact of power imbalances in water resources management and empower community-based decision-making.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu2 citations 2 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/hess-2020-437&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2021 FranceCopernicus GmbH SSHRCSSHRCJessica Bou Nassar; Julien Malard; Jan Adamowski; Marco Ramírez Ramírez; Wietske Medema; Héctor Tuy;Abstract. Unconventional sources of data that enhance our understanding of internal interactions between socio-economic and hydrological processes are central to modeling human–water systems. Participatory modeling (PM) departs from conventional modeling tools by informing and conceptualizing human–water systems through stakeholder engagement. However, the implementation of many PM processes remains biased, particularly in regions where marginalized communities are present. Many PM processes are not cognizant of differentiation and diversity within a society and tend to treat communities as homogeneous units with similar capabilities, needs, and interests. This undifferentiation leads to the exclusion of key actors, many of whom are associated with marginalized communities. In this study, a participatory model-building framework (PMBF), aiming to ensure the inclusiveness of marginalized stakeholders – who (1) have low literacy, (2) are comparatively powerless, and/or (3) are associated with a marginalized language – in participatory modeling, is proposed. The adopted approach employs interdisciplinary storylines to inform and conceptualize human–water systems. The suggested method is underpinned by the multi-level perspective (MLP) framework, which was developed by Geels et al. (2002) to conceptualize socio-technical transitions and modified in this study to accommodate the development of interdisciplinary storylines. A case study was conducted in Atitlán Basin, Guatemala, to understand the relationships that govern the lake's cultural eutrophication problem. This research integrated key stakeholders from the Indigenous Mayan community, associated with diverse literacy ranges, and emerging from three different marginalized linguistic backgrounds (Kaqchikel, Tz'utujil, and K'iche'), in the PM activity. The proposed approach facilitated the participation of marginalized stakeholders. Moreover, it (1) helped develop an understanding of mechanisms governing the eutrophication of the lake, (2) initiated a dialogue between Indigenous Peoples and non-Indigenous stakeholders, and (3) extracted potential solutions targeting the system's leverage points. The participatory model-building activity generated three submodules: (1) agriculture, (2) tourism, and (3) environmental awareness. Each submodule contained socioculturally specific mechanisms associated with nutrient discharge to Lake Atitlán. The delineation of such nuanced relationships helps develop well-targeted policies and best management practices (BMPs). Additionally, the suggested process helped decrease the impact of power imbalances in water resources management and empowered community-based decision-making.
Hydrology and Earth ... arrow_drop_down Hydrology and Earth System Sciences; Hydrology and Earth System Sciences (HESS)Article . 2021License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu8 citations 8 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Hydrology and Earth ... arrow_drop_down Hydrology and Earth System Sciences; Hydrology and Earth System Sciences (HESS)Article . 2021License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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