Scholay

学术搜索 · AI 审稿 · LaTeX 协作

Worldwide Soundscapes: A Synthesis of Passive Acoustic Monitoring Across Realms

作者:Kevin Darras, Rodney A. Rountree, Steven L. Van Wilgenburg, Anna F. Cord, Frederik Pitz, Youfang Chen, Lijun Dong, Agnès Rocquencourt, Camille Desjonquères, Paula Trujillo Díaz, Tzu‐Hao Lin, Théophile Turco, Louise Emmerson, Tom Bradfer‐Lawrence, Amandine Gasc, Sarah A. Marley, M.R.J. Salton, Laura Schillé, Paul J. Wensveen, Shih‐Hung Wu, Adriana Carolina Acero-Murcia, Orlando Acevedo‐Charry, Matyáš Adam, Jacopo Aguzzi, Irmak Akoglu, M. Clara P. Amorim, Mina Anders, M. André, Alexandre Antonelli, Leandro Do Nascimento, Giulliana Appel, Stephanie K. Archer, Christos Astaras, Andrey Atemasov, Jamieson Atkinson, Joël Attia, Emanuel Ştefan Baltag, Luc Barbaro, Fritjof Basan, Carly Batist, Júlio Baumgarten, Just T. Bayle‐Sempere, Kristen Bellisario, A David, Oded Berger‐Tal, Frédéric Bertucci, Matthew G. Betts, Iqbal Singh Bhalla, Thiago Bicudo, Marta Bolgan, Sara Bombaci, Gérard Bota, Martín Boullhesen, Robert A. Briers, Susannah J. Buchan, Michał Budka, Katie Burchard, Giuseppa Buscaino, Alice Calvente, Marconi Campos‐Cerqueira, Maria Isabel Carvalho Gonçalves, María Ceraulo, Maite Cerezo‐Araujo, Gunnar Cerwén, Adams A. Chaskda, М. Д. Чистополова, Christopher W. Clark, Kieran Cox, Benjamin Cretois, Chapin Czarnecki, Luís P. da Silva, Wigna da Silva, Laurence H. De Clippele, D. Haye, Ana Silvia de Oliveira Tissiani, Devin R. de Zwaan, M. Eugenia Degano, Jessica L. Deichmann, Joaquín del Río Fernández, Christian Devenish, Ricardo Dı́az-Delgado, Pedro Diniz, Dorgival Diógenes Oliveira‐Júnior, T. Dorigo, Saskia Dröge, Marina H. L. Duarte, Adam Duarte, Kerry Dunleavy, Robert P. Dziak, Simon Élise, Hiroto Enari, Haruka S. Enari, Florence Erbs, Britas Klemens Eriksson, Pınar Ertör‐Akyazi, Nina Ferrari, Luane S. Ferreira, Abram B. Fleishman, Paulo J. Fonseca, Bárbara Freitas, Nicholas R. Friedman, Jérémy S. P. Froidevaux, Svetlana S. Gogoleva, Carolina Gonzaga, José Miguel González Correa, Eben Goodale, Benjamin L. Gottesman, Ingo Graß, Jack Greenhalgh, Jocelyn Grégoire, Samuel Haché, Jonas Hagge, William D. Halliday, Antonia Hammer, Tara Hanf‐Dressler, Sylvain Haupert, Samara M. Haver, Becky E. Heath, Daniel Hending, J. A. Hernandez-Blanco, Dennis M. Higgs, Thomas Hiller, Joe Chun‐Chia Huang, Kate Hutchinson, Carole Hyacinthe, Christina Ieronymidou, Iniunam A. Iniunam, Janet Jackson, Alain Jacot, Olaf Jahn, Francis Juanes, Jasper Kanes, Ellen Kenchington, Sebastian Kepfer‐Rojas, Justin Kitzes, Tharaka Kusuminda, Yael Lehnardt, Jialin Lei, Paula Leitman, José R. León, Li Deng, Cicero Simão Lima‐Santos, Kyle J. Lloyd, Audrey Looby, Adrià López‐Baucells, David López‐Bosch, Tristan Louth‐Robins, Tatiana Midori Maeda, Franck Malige, Christos Mammides, Gabriel Marcacci, Matthias Markolf, Marinêz Isaac Marques, Charles W. Martin, Dominic A. Martin, Kathy Martin, E. Durant McArthur, Matthew McKown, Logan J. T. McLeod, Vincent Médoc, Oliver Metcalf, Christoph F. J. Meyer, Grzegorz Mikusiński, Brian Miller, João Gama Monteiro, T. Aran Mooney, Sérgio Carvalho Moreira, Larissa Sayuri Moreira Sugai, Dave Morris, Sandra Müeller, Sebastián Muñoz-Duque, Kelsie A. Murchy, Ivan Nagelkerken, Maria Mas, Rym Nouioua, Carolina Ocampo‐Ariza, Julian D. Olden, Steffen Oppel, Anna N. Osiecka, Elena Papale, Miles Parsons, Michael D. Pashkevich, Julie Patris, João Pedro Marques, Cristian Pérez‐Granados, Liliana Piatti, Mauro Pichorim, Matthew K. Pine, Thiago Pinheiro, Jean‐Nicolas Pradervand, John E. Quinn, Bernardo R. Quintella, Craig A. Radford, Xavier Raick, Ana Rainho, Emiliano Esterci Ramalho, Vijay Ramesh, Sylvie Rétaux, Laura K. Reynolds, Klaus Riede, Talen Rimmer, Noelia Ríos, Ricardo Rocha, Luciana Garcia Rocha, Paul Roe, Samuel R. P.‐J. Ross, Carolyn M. Rosten, John P. Ryan, Carlos Salustio‐Gomes, Filipa I. P. Samarra, Philip Samartzis, José Santos, Thomas Sattler, Kevin Scharffenberg, Renée P. Schoeman, Karl‐Ludwig Schuchmann, Esther Sebastián‐González, Sebastian Seibold, Sarab S. Sethi, Fannie W. Shabangu, Taylor Shaw, Xiaoli Shen, D. Singer, Ana Širović, Matthew James Slater, Brittnie Spriel, Jenni A. Stanley, Jérôme Sueur, Valéria da Cunha Tavares, Karolin Thomisch, Simon Thorn, Jianfeng Tong, Laura Torrent, Juán Traba, Junior A. Tremblay, Leonardo Carreira Trevelin, Yi-Chin Tseng, Mao‐Ning Tuanmu, Marisol Valverde, Ben J. Vernasco, Manuel Vieira, Raiane Vital da Paz, Matthew O. Ward, Maryann S. Watson, Matthew J. Weldy, Julia Wiel, Jacob Willie, Heather Wood, Jinshan Xu, Wenyi Zhou, Songhai Li, Renata S. Sousa‐Lima, Thomas Cherico Wanger · 发表于:Global Ecology and Biogeography · 年份:2025 · DOI:10.1111/geb.70021 · 被引用次数:60 · 研究领域:Animal Vocal Communication and Behavior、Marine animal studies overview、Underwater Acoustics Research

ABSTRACT 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...