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Artificial Neural Network Models to Examine the Relationship between Saturated Soil Hydraulic Conductivity and Co-Driven Factors at the Watershed Scale

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SSRN 2023年

作者： Soares, Mauricio Fornalski Siqueira, Tirzah Moreira Nunes, Romulo Félix Pedrollo, Olavo Correa Reichardt, Klaus Barros, Willian Silva Timm, Luís Carlos Water Resources Post-Graduate Program Center of Technological Development Federal University of Pelotas Campus Porto Rua Gomes Carneiro n. 01 Rio Grande do Sul PelotasCEP: 96010-610 Brazil Center of Engineering Federal University of Pelotas Rio Grande do Sul Pelotas Brazil Soil and Water Management and Conservation Post-Graduate Program Faculty of Agronomy Federal University of Pelotas Rio Grande do Sul Pelotas Brazil Hydraulic Researchs Institute Federal University of Rio Grande do Sul Rio Grande do Sul Porto Alegre Brazil Soil Physics Laboratory CENA Department of Crop Production ESALQ University of São Paulo Piracicaba São Paulo Brazil Department of Statistics Federal University of Pelotas Campus Universitário s/n Rio Grande do Sul Capão do LeãoCEP: 96010-900 Brazil Department of Rural Engineering Faculty of Agronomy Federal University of Pelotas Campus Universitário s/n Rio Grande do Sul Capão do LeãoCEP: 96010-900 Brazil

Saturated soil hydraulic conductivity (KSat) is a key soil attribute that affects hydrological processes in the soil surface layer. It is well known that KSat is difficult to be obtained in the field, requires time and expensive equipment, skilled labor and, due to its variability, requires many samples and can hardly be extrapolated. Artificial neural networks (ANNs) are powerful no-linear mathematical models to estimate KSat from different soil hydro-physical and environmental input variables as well as by using dimensionless variables generated by database resizing techniques from principal component analyses (PCA). The present study aimed to construct artificial neural network models for predicting KSat using soil attributes and different land uses as input variables at a watershed scale. The study was carried out in the Ellert Creek watershed of about 0.7 km2, Brazil, in which an experimental grid consisted of 178 sampling points was established. Data of soil bulk density, total porosity, microporosity, macroporosity, soil organic carbon content, sand, silt and clay, and KSat were determined at each point in the 0-20 cm layer. A land-use map was derived from satellite images and used to identify the land use around each soil sampling point. PCA was applied to the original data set and selected PCs were used as input variables for ANN modeling. Two PCs were selected and the results suggest that their inclusion as input parameters, both or individually, combined with the original data, increased the performance of the analyzed ANN models, when compared to similar models with only original data and without PCs. The use of ANN models showed that the variation of KSat in the ECW watershed is not only associated to soil hydrological and environment covariates, but also to PCs which are orthogonal linear recombinations that resume the main sources of variation of the original data sets. © 2023, The Authors. All rights reserved.

关键词： Soils

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A new Normalized Index for Ranking Papers in Systematic Literature Reviews

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Decision Analytics Journal 2024年 10卷

作者： Steffen, Vilmar de Oliveira, Maiquiel Schmidt Brusamarello, Claiton Zanini Trojan, Flavio Academic Departments of Engineering (DAENG) Federal University of Technology - Parana (UTFPR) Rua Gelindo Joao Folador 2000 Parana Francisco Beltrao 85602-863 Brazil Academic Department of Physics Statistics and Mathematics (DAFEM) Federal University of Technology - Parana (UTFPR) Rua Gelindo Joao Folador 2000 Parana Francisco Beltrao 85602-863 Brazil Academic Department of Electronics (DAELE) Federal University of Technology - Parana (UTFPR) Rua Doutor Washington Subtil Chueire 330 Parana Ponta Grossa 84017-220 Brazil Post-graduate Program in Production Engineering (PPGEP) Federal University of Technology - Parana (UTFPR) Rua Doutor Washington Subtil Chueire 330 Parana Ponta Grossa 84017-220 Brazil

The number of journals, and consequently the number of papers, has grown significantly, which makes it necessary to use suitable tools in systematic literature reviews. Several methodologies have been proposed for this purpose, and one of these methods is the index calculation used to rank the papers in order of importance. This study proposes a new index called the Normalized Index for Ranking Papers to rank the papers in a systematic literature review, which is considered mainly indicators provided by the Centre for Science and Technology Studies journal indicators. For this index calculation, importance weights are assigned by the researchers, and the indicators used in the index are normalized. For ranking the final portfolio, the proposed method considers a weighted average of indicators (impact factors) in which the paper was published and a value that represents approximately the number of citations per year. The journal self-citation index benefits the journals with lower self-citation practices. A Systematic Literature Review (SLR) was carried out to analyze the final portfolio's results involving Multi-criteria Decision Analysis in airports. The indicators normalization enables the importance of each metric to be decided by the researcher according to the choice of the weights, not by the difference in the indicators’ magnitude. The importance of an article can be proved initially by the journal indicators in which the paper was published and by citations per year. © 2024 The Authors

关键词： Importance weight Journal indicator Multiple criteria Normalized Index for Ranking Papers Rank index Systematic Literature Review

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Integrated data envelopment analysis, multi-criteria decision making, and cluster analysis methods: Trends and perspectives

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Decision Analytics Journal 2023年 8卷

作者： de Oliveira, Maiquiel Schmidt Steffen, Vilmar de Francisco, Antonio Carlos Trojan, Flavio Academic Department of Physics Statistics and Mathematics (DAFEM) Federal University of Technology - Parana (UTFPR) Rua Gelindo João Folador 2000 Francisco Beltrão Paraná 85602-863 Brazil Academic Departments of Engineering (DAENG) Federal University of Technology - Parana (UTFPR) Rua Gelindo João Folador 2000 Francisco Beltrão 85602-863 Paraná Brazil Academic Department of Electronics (DAELE) Federal University of Technology - Parana (UTFPR) Rua Doutor Washington Subtil Chueire 330 Ponta Grossa 84017-220 Paraná Brazil Post-Graduate Program in Production Engineering (PPGEP) Federal University of Technology - Parana (UTFPR) Rua Doutor Washington Subtil Chueire 330 Ponta Grossa 84017-220 Paraná Brazil

Data Envelopment Analysis (DEA), Multi-criteria Decision Analysis (MCDA), and Cluster Analysis (CA) are techniques widely used to help decision-makers determine the solution to problems with multiple and often conflicting criteria. This study presents a comprehensive review of the literature on the DEA, MCDA, and CA models to identify existing and potential applications and future development trends. To this end, the Methodi Ordinatio was applied to determine which publications have the greatest impact, considering articles in three databases: Scopus, ScienceDirect, and Web of Science. We pair the techniques two by two since no results were found to integrate the three techniques. The results point to a portfolio with 490 articles, in which approximately 43.87% of the articles combine DEA and MCDA techniques for solving efficiency and productivity analysis problems. © 2023 The Author(s)

关键词： Cluster analysis Combined decision techniques Data envelopment analysis Literature review Methodi ordinatio Multi-criteria decision making

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A systematic review of the literature on video assistant referees in soccer: Challenges and opportunities in sports analytics

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Decision Analytics Journal 2023年 7卷

作者： de Oliveira, Maiquiel Schmidt Steffen, Vilmar Trojan, Flavio Academic Department of Physics Statistics and Mathematics (DAFEM) Federal University of Technology - Parana (UTFPR) Rua Gelindo João Folador 2000 Francisco Beltrão Paraná 85602-863 Brazil Academic Department of Engineering (DAENG) Federal University of Technology - Parana (UTFPR) Rua Gelindo João Folador 2000 Francisco Beltrão Paraná 85602-863 Brazil Academic Department of Electronics (DAELE) Federal University of Technology - Parana (UTFPR) Rua Doutor Washington Subtil Chueire 330 Ponta Grossa Paraná 84017-220 Brazil Post-graduate Program in Production Engineering (PPGEP) Federal University of Technology - Parana (UTFPR) Rua Doutor Washington Subtil Chueire 330 Ponta Grossa Paraná 84017-220 Brazil

Refereeing in sports is about fairness. The referee's job is to balance what the player with the ball thinks is fair with what the player trying to take the ball thinks is fair. Referees are judges on those two opposite opinions. Football (soccer) has massive global appeal and fan interest. Some football championships now use Video Assistant Referees (VAR) to help the referees make correct decisions. This study reviews the literature on VAR in football using the Methodi Ordinatio. Methodi Ordinatio is a methodology used to select and rank relevant scientific papers combining the impact factor, number of citations, and year of publication. We present a case study about the distance the VAR officials cover in the main Brazilian football championship (Brazilian Serie A). This study adopts the p-medians method to analyse the impact of opening VAR operation rooms in the distance covered by the professionals travelling to officiate matches. The locations of VAR operation rooms were obtained, and applying these locations in the first ten rounds of the Brazilian Serie A season 2021 would possibly reduce about 70% of the distance covered by the VAR officials travelling compared to the total distance performed. © 2023 The Author(s)

关键词： Decision-aid technology Distance minimization Methodi ordinatio p-medians Soccer Sports analytics Video assistant referee

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COVID-19 pandemic exacerbated food insecurity in South American countries

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Food Security 2025年 1-22页

作者： Vasconcelos-Neto, Carlos Frederico A. Jacob, Michelle Tregidgo, Daniel Valle, Denis El Bizri, Hani R. Gomes, Sávio Marcelino Fa, Julia E. Morcatty, Thais Q. Monteiro, Frederico Ozanan Barros Scofield, Alessandra Matte, Alessandra Chaves, Willandia A. Borges, Luiz Henrique Medeiros Silva, Antônia I. A. Santos-Fita, Dídac Silva, Tiago Lucena Lopes-Filho, Isaac Ibernon Silva, Maria Isabel Afonso Barreto, Rebeca Mascarenhas Fonseca Oliveira, Marcela A Ferreira, Felipe Silva Santos, Ricardo Rodrigues Honorato-Júnior, Jaime Brazil, Marilene Vasconcelos Silva Sousa, Shirliane Araújo Oliveira, Deise C. L. Ferreira, Valéria R. F. Soares, Hyago K. L. Pinto, Marcia F. Beltrão-Mendes, Raone Rodrigues, Marcos Paulo Lopes Rocha, Wáldima Alves Gutiérrez Poblete, Roberto Schettini, Francisco Luigi Rojas, Joe S. S. Aspilcueta, Marco A. Zevallos, Justo D. V. Gagliardi-Urrutia, Giussepe Menéndez Delgado, Erick Rodolfo Polit-Vera, Mariela Lissette Rodríguez Ríos, Elvira Carrascal Velásquez, Juan Carlos Forlano Riera, Maria Dalila Perera Romero, Lucy Salas Dueñas, Danilo A. Garin, Daniel Mayor, Pedro Instituto de Desenvolvimento Sustentável Mamirauá GP Ecologia de Vertebrados Terrestres Estrada do Bexiga Amazonas Tefé 258469553 - 225 Brazil Calle Enrique Granados 30 Boadilla del Monte Madrid 28660 Spain Departamento de Saúde Coletiva e Nutrição Centro de Ciências da Saúde Universidade Federal do Rio Grande do Norte Lagoa Nova Rio Grande do Norte Natal 59075000 Brazil University of Florida Gainesville 32611 FL United States School of Science Engineering and Environment University of Salford 43 Crescent Salford M5 4 WT United Kingdom Center for International Forestry Research - CIFOR Bogor Indonesia Department of Nutrition Centre of Health Sciences Universidade Federal da Paraíba R. Tabeliao Estanislau Eloy S/N Paraiba João Pessoa 58050585 Brazil Natural Sciences Faculty of Science and Engineering Manchester Metropolitan University Chester Street Manchester M15 6BH United Kingdom Natural Sciences and Environment Research Hub University of Gibraltar Gibraltar Gibraltar Department of Geography University College London North West Wing Gower Street London WC1E 6BT United Kingdom Institute of Health and Animal Production Federal Rural University of the Amazon Av. Presidente Tancredo Neves 2501 Pará Belém 66077 - 830 Brazil Laboratory of Animal Health Postgraduate Program in Animal Health in the Amazon Institute of Veterinary Medicine Federal University of Pará Universidade Federal do Pará (UFPA) BR 316 Km 61 s/n bairro Saudade II Pará Castanhal 68746360 Brazil Programa de Pós-Graduação Em Agroecossistemas (PPGSI) Universidade Tecnológica Federal Do Paraná (UTFPR) Prolongamento da Rua Cerejeiras S/N Paraná Santa Helena 85892000 Brazil Department of Fish and Wildlife Conservation Virginia Polytechnic Institute and State University 310 West Campus Drive Blacksburg 24061 VA United States Associação SOS Amazônia Rua Pará 61 Acre Rio Branco 69905082 Brazil Universidade Federal do Amazonas Instituto Natureza e Cultura Rua 1º de Mai

The COVID-19 pandemic triggered unparalleled political, economic, and social ramifications, exacerbating global food insecurity (FI). To understand the overall impact of the pandemic and how different socio-economic groups were affected, we assessed prevalence and severity of FI in a sample of 18,997 households across seven countries in South America. We employed the Food Insecurity Experience Scale developed by the FAO. Our results showed that pre-pandemic, 4.5% of the sampled population across the entire continent faced Moderate FI, while 0.6% experienced severe FI. During the pandemic, Moderate FI increased to 16.9% (+ 12.4%), and Severe FI to 2.7% (+ 2.1%). By country, pre-pandemic households in Venezuela had the highest prevalence of Moderate FI (9.7%), with Peru experiencing the highest Severe FI frequency (1.1%). Peru had the greatest rise in Moderate (+ 23.9%) and Severe FI (+ 4.6%) during the pandemic. Low-income households, defined as those earning < 2 minimum wages per month, were most susceptible to FI. Uruguayan low-income families exhibited the most significant rise (+ 40.4%) in Moderate FI, while those in Peru experienced an increase of + 9.1% in Severe FI. This study measures the profound and far-reaching impact of the COVID-19 pandemic on FI in South America. Our findings also emphasise the critical importance of implementing effective public policy interventions to improve resilience against future shocks. This would enable policymakers to develop targeted strategies that address the immediate challenges posed by pandemics as well as laying the groundwork for a more resilient and sustainable food security landscape in the region. © The Author(s) 2025.

关键词： Covid-19 Food security Hunger Nutrition South America

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An integrated data envelopment analysis framework for operational efficiency assessment in Brazilian international airports

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Decision Analytics Journal 2024年 12卷

作者： de Oliveira, Maiquiel Schmidt Steffen, Vilmar Krukoski, Franklin Angelo Mezoni, Maressa Fontana Trojan, Flávio Academic Department of Physics Statistics and Mathematics (DAFEM) Federal University of Technology - Parana (UTFPR) Rua Gelindo João Folador 2000 Paraná Francisco Beltrão 85602-863 Brazil Post-Graduate Program in Production Engineering (PPGEP) Federal University of Technology - Parana (UTFPR) Rua Doutor Washington Subtil Chueire 330 Paraná Ponta Grossa 84017-220 Brazil Academic Departments of Engineering (DAENG) Federal University of Technology - Parana (UTFPR) Rua Gelindo João Folador 2000 Paraná Francisco Beltrão 85602-863 Brazil State University of Western Parana (UNIOESTE) Rua Maringá 1200 Francisco Beltrão 85605-010 Brazil Academic Department of Electronics (DAELE) Federal University of Technology - Parana (UTFPR) Rua Doutor Washington Subtil Chueire 330 Paraná Ponta Grossa 84017-220 Brazil

International airports play a significant role in a country's economic development. We propose an integrated framework for operational efficiency analysis using Data Envelopment Analysis, Windows Analysis, and Malmquist Index to identify inefficiencies and areas of improvement in the air transportation industry. This study analyzed 23 Brazilian international airports from 2010 to 2021, using the DEA Window Analysis (DEAWA) combined with the Index (MI). The airports were grouped geographically in southern Brazil. The integration of these methods brought an important insight to the evaluation processes, even for those previously analyzed using DEA. The analyses found that COVID-19 potently influenced the drop in the efficiency index. No airport was fully efficient over the analyzed periods. Private airports achieved an efficiency index slightly higher than public ones, but the difference of the efficiency index by public–private management type is not clear. This type of analysis provides a strategic and comparative tool, making it possible to understand better the weaknesses of the air transportation system. © 2024 The Author(s)

关键词： Airports management COVID-19 Data envelopment analysis Efficiency index Malmquist index Window analysis

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SHIPS OF THE TWENTY KNOT AMPHIBIOUS FORCE

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Naval Engineers Journal 1965年第3期77卷 377-385页

作者： LARSON, NORMAN O. DEMYTTENAERE, JULES H. OREM, JOHN B. Commander Norman O. Larson USN: is an Engineering Duty Officer of the United States Navy who served in the Army as a sergeant of infantry in Europe during World War II. Appointed to the U. S. Naval Academy in 1945 he graduated in June 1949. After two years in the Amphibious Force U. S. Pacific Fleet on board the USS MOUNT McKINLEY (AGC-7) and one year on the USS BREMERTON (CA-130) during the Korean hostilities he attended Webb Institute of Naval Architecture. Receiving his Master of Science in Naval Architecture in 1955 he served two years as an Assistant Planning and Estimating Superintendent for Fitting Out and New Construction at Boston Naval Shipyard and then two years as Assistant Force Maintenance Officer on the staff of Commander Amphibious Force U. S. Pacific Fleet. From 1959–1961 he attended the University of California Berkeley for advanced work in Hydrodynamics. The next two years were spent at the David Taylor Model Basin as Propeller Program Officer. He has been a Project Coordinator in the Hull Design Branch Ship Design Division in the Bureau of Ships since August 1963. Commander J. H. Demyttenaere U. S. Navy: is an Engineering Duty Officer of the United States Navy and is currently serving as a Project Coordinator in the Hull Design Branch of the Ship Design Division in the Bureau of Ships. He received his B.S. degree in Engineering from the U. S. Naval Academy in 1949. After serving a two year tour on board the USS PHILIPPINE SEA (CV-47) he was ordered to postgraduate training and received the degree of Naval Engineer from the Massachusetts Institute of Technology in 1954. He has served in numerous Engineering Duty Officer billets since 1954 including two years at Philadelphia Naval Shipyard in the Production Department two years of Staff Duty with Commander Service Squadron One three years as Design Project Officer at Supervisor of Shipbuilding New York and most recently as Repair Officer in USS ARCADIA (AD-23). Lieutenant Commander John B. Orem Jr. USN: is an Engineering Dut

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Worldwide Soundscapes: A Synthesis of Passive Acoustic Monitoring Across Realms

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Global Ecology and Biogeography 2025年第5期34卷

作者： Kevin F. A. Darras Rodney A. Rountree Steven L. Van Wilgenburg Anna F. Cord Frederik Pitz Youfang Chen Lijun Dong Agnès Rocquencourt Camille Desjonquères Patrick Mauritz Diaz Tzu-Hao Lin Théophile Turco Louise Emmerson Tom Bradfer-Lawrence Amandine Gasc Sarah Marley Marcus Salton Laura Schillé Paul J. Wensveen Shih-Hung Wu Adriana C. Acero-Murcia Orlando Acevedo-Charry Matyáš Adam Jacopo Aguzzi Irmak Akoglu M. Clara P. Amorim Mina Anders Michel André Alexandre Antonelli Leandro Aparecido Do Nascimento Giulliana Appel Stephanie Archer Christos Astaras Andrey Atemasov Jamieson Atkinson Joël Attia Emanuel Baltag Luc Barbaro Fritjof Basan Carly Batist Julio Ernesto Baumgarten Just T. Bayle Sempere Kristen Bellisario Asaf Ben David Oded Berger-Tal Frédéric Bertucci Matthew G. Betts Iqbal S. Bhalla Thiago Bicudo Marta Bolgan Sara Bombaci Gerard Bota Martin Boullhesen Robert A. Briers Susannah Buchan Michal Budka Katie Burchard Giuseppa Buscaino Alice Calvente Marconi Campos-Cerqueira Maria Isabel Carvalho Gonçalves Maria Ceraulo Maite Cerezo-Araujo Gunnar Cerwén Adams A. Chaskda Maria Chistopolova Christopher W. Clark Kieran D. Cox Benjamin Cretois Chapin Czarnecki Luis P. da Silva Wigna da Silva Laurence H. De Clippele David de la Haye Ana Silvia de Oliveira Tissiani Devin de Zwaan M. Eugenia Degano Jessica Deichmann Joaquin del Rio Christian Devenish Ricardo Díaz-Delgado Pedro Diniz Dorgival Diógenes Oliveira-Júnior Thiago Dorigo Saskia Dröge Marina Duarte Adam Duarte Kerry Dunleavy Robert Dziak Simon Elise Hiroto Enari Haruka S. Enari Florence Erbs Britas Klemens Eriksson Pınar Ertör-Akyazi Nina C. Ferrari Luane Ferreira Abram B. Fleishman Paulo J. Fonseca Bárbara Freitas Nicholas R. Friedman Jérémy S. P. Froidevaux Svetlana Gogoleva Carolina Gonzaga José Miguel González Correa Eben Goodale Benjamin Gottesman Ingo Grass Jack Greenhalgh Jocelyn Gregoire Samuel Haché Jonas Hagge William Halliday Antonia Hammer Tara Hanf-Dressler Sylvain Haupert Samara Haver Becky Heath Daniel Hending Jose Hernandez-Blanco Dennis Higgs EFNO ECODIV INRAE Domaine des Barres Nogent-sur-Vernisson France Sustainable Agricultural Systems & Engineering Lab School of Engineering Westlake University Hangzhou Zhejiang China Chair of Computational Landscape Ecology Faculty of Environmental Sciences Dresden University of Technology Dresden Germany Biology Department University of Victoria Victoria British Columbia Canada The Fish Listener Waguoit Massachusetts USA Terrestrial Unit Prairie Region Canadian Wildlife Service Environment & Climate Change Canada Prairie & Northern Wildlife Research Centre Saskatoon Saskatchewan Canada Agro-ecological Modeling Group Faculty of Agriculture University of Bonn Bonn Germany Marine Mammal and Marine Bioacoustics Laboratory Department of Deep Sea Science Institute of Deep-sea Science and Engineering Chinese Academy of Sciences Sanya Hainan China Institut de Systématique Évolution Biodiversité Muséum National d’Histoire Naturelle Paris France Université Grenoble Alpes Université Savoie Mont Blanc CNRS LECA Grenoble France Climate Change and Biodiversity Hanns R. Neumann Stiftung Indonesia Muaradua Indonesia Biodiversity Research Center Academia Sinica Nankang Taipei Taiwan ENES Bioacoustics Research Laboratory University of Saint-Etienne CRNL CNRS UMR 5292 Inserm UMR_S 1028 Saint-Etienne France Australian Antarctic Division Science Branch Department of Climate Change Energy Environment and Water Channel Highway Kingston Tasmania Australia Biological and Environmental Sciences University of Stirling Stirling Scotland Centre for Conservation Science RSPB Edinburgh UK IMBE Aix Marseille Univ Avignon Univ CNRS IRD Aix-en-Provence France Scotland's Rural College Craibstone Estate Aberdeen UK BIOGECO INRAE University of Bordeaux Cestas France Westman Islands Research Centre University of Iceland Vestmannaeyjar Iceland Qigu Research Center Taiwan Biodiversity Research Institute Nantou County Taiwan Programa de Pós-graduação em Ecologia

Aim The urgency for remote, reliable and scalable biodiversity monitoring amidst mounting human pressures on ecosystems has sparked worldwide interest in Passive Acoustic Monitoring (PAM), which can track life underwater and on land. However, we lack a unified methodology to report this sampling effort and a comprehensive overview of PAM coverage to gauge its potential as a global research and monitoring tool. To address this gap, we created the Worldwide Soundscapes project, a collaborative network and growing database comprising metadata from 416 datasets across all realms (terrestrial, marine, freshwater and subterranean). Location Worldwide, 12,343 sites, all ecosystem types. Time Period 1991 to present. Major Taxa Studied All soniferous taxa. Methods We synthesise sampling coverage across spatial, temporal and ecological scales using metadata describing sampling locations, deployment schedules, focal taxa and audio recording parameters. We explore global trends in biological, anthropogenic and geophysical sounds based on 168 selected recordings from 12 ecosystems across all realms. Results Terrestrial sampling is spatially denser (46 sites per million square kilometre—Mkm 2 ) than aquatic sampling (0.3 and 1.8 sites/Mkm 2 in oceans and fresh water) with only two subterranean datasets. Although diel and lunar cycles are well sampled across realms, only marine datasets (55%) comprehensively sample all seasons. Across the 12 ecosystems selected for exploring global acoustic trends, biological sounds showed contrasting diel patterns across ecosystems, declined with distance from the Equator, and were negatively correlated with anthropogenic sounds. Main Conclusions PAM can inform macroecological studies as well as global conservation and phenology syntheses, but representation can be improved by expanding terrestrial taxonomic scope, sampling coverage in the high seas and subterranean ecosystems, and spatio-temporal replication in freshwater habitats. Overall, this

关键词： ARU automated sound recorder biodiversity conservation biology ecoacoustics IUCN GET realm Passive Acoustic Monitoring phenology soundscape ecology

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