The Zooplankton International Geospatial dataset: A global repository of spatiotemporal freshwater zooplankton community composition data from lakes and reservoirs to support ecological research
Stephanie E. Figary, Michael F. Meyer, Rachel M. Pilla, Warren J. S. Currie, Javier Alcocer, María Belén Alfonso, Caitlin M. Andrews, Orlane Anneville, Ana M. Antão-Geraldes, Shelley E. Arnott, Syuhei Ban, Arnab Banerjee, Gábor Bernát, Jessica E. Beyer, Kätlin Blank, Kelly L. Bowen, Christer Brönmark, Rosalie Bruel, Sarah H. Burnet, Tyler J. Butts, Cayelan C. Carey, Rossana Caroni, Moitreyee Chakrabarty, Sudeep Chandra, Kirsten S. Christoffersen, Alicia Cortés, Maria Cristina Crispim, Elvira de Eyto, Luciana De Souza Cardoso, Bridget R. Deemer, Curtis L. DeGasperi, Braden C. DeMattei, Jianming Deng, Jean-Pierre Descy, Inta Dimante-Deimantovica, Nadia Diovisalvi, Renata Dondajewska-Pielka, Jonathan P. Doubek, Tvrtko Dražina, Hilary A. Dugan, Zorka Dulić, Ashley A. Dunker, Gaël Dur, Brie A. Edwards, Jolanta E. Ejsmont-Karabin, Mariam Elmarsafy, Zeynep Ersoy, Rocio Fernandez, Heidrun Feuchtmayr, Maria Soledad Fontanarrosa, Elena Forasacco, László G.-Tóth, Evelyn E. Gaiser, Gideon Gal, Anita Galir, Javier R. Garcia de Souza, Scott F. Girdner, Ryszard Goldyn, K. David Hambright, David P. Hamilton, Lars-Anders Hansson, Susan P. Hendricks, Huihuang Chen, Pascal M. Isumbisho, Stéphan Jacquet, Jun Yang, Martin J. Kainz, Maciej Karpowicz, Samiullah Khan, Katarzyna Kowalczewska-Madura, Natalia Kuczyńska-Kippen, Silke Langenheder, Sarah D. Lawhun, Barbara Leoni, Fabio Lepori, Shuqi Lin, Arni H. Litt, Eleanor B. Mackay, Marina M. Manca, Shin-ichiro S. Matsuzaki, Blake Matthews, Linda May, Yvonne R. McElarney, Christopher J. McLimans, Rosemberg F. Menezes, Ewa Merz, Evangelia Michaloudi, S. Jannicke Moe, Dörthe C. Müller-Navarra, Manuel E. Muñoz-Colmenares, Kayden C. Nasworthy, Veronica Nava, Jens C. Nejstgaard, Ulrike Obertegger, David A. Ortiz, Luis A. Oseguera, Michael J. Paterson, Maria Cintia Piccolo, Lorena Pinheiro-Silva, Roberta Piscia, Francesco Pomati, Serena Rasconi, Brian L. Reid, Leonardo L. Ribeiro, Florencia M. Rojas Molina, Joanna Rosińska, Lars G. Rudstam, James A. Rusak, Olga O. Rusanovskaya, Nico Salmaso, Jouko Sarvala, S. Geoffrey Schladow, Anna G. Schmidt, Anne E. Scofield, Facundo Scordo, Jaromír Sed'a, Katie J. Senft, Kirill Shchapov, Svetlana V. Shimaraeva, Eugene A. Silow, Maria Špoljar, Dietmar Straile, Silva M. Sundberg, Jon N. Sweetman, Celia C. Symons, Andrew J. Tanentzap, Barbara Tartarotti, Stephen J. Thackeray, Jan-Erik Thrane, Maxim A. Timofeyev, Jörg Tittel, Pablo Urrutia-Cordero, Piet Verburg, Danielle Machado Vieira, Heather L. Wander, Shohei Watanabe, James M. Watkins, David S. White, Sabine Wollrab, Vivian Yorojo Moreno, Horacio E. Zagarese, Matiss Zagars, Petr Znachor
{"title":"The Zooplankton International Geospatial dataset: A global repository of spatiotemporal freshwater zooplankton community composition data from lakes and reservoirs to support ecological research","authors":"Stephanie E. Figary, Michael F. Meyer, Rachel M. Pilla, Warren J. S. Currie, Javier Alcocer, María Belén Alfonso, Caitlin M. Andrews, Orlane Anneville, Ana M. Antão-Geraldes, Shelley E. Arnott, Syuhei Ban, Arnab Banerjee, Gábor Bernát, Jessica E. Beyer, Kätlin Blank, Kelly L. Bowen, Christer Brönmark, Rosalie Bruel, Sarah H. Burnet, Tyler J. Butts, Cayelan C. Carey, Rossana Caroni, Moitreyee Chakrabarty, Sudeep Chandra, Kirsten S. Christoffersen, Alicia Cortés, Maria Cristina Crispim, Elvira de Eyto, Luciana De Souza Cardoso, Bridget R. Deemer, Curtis L. DeGasperi, Braden C. DeMattei, Jianming Deng, Jean-Pierre Descy, Inta Dimante-Deimantovica, Nadia Diovisalvi, Renata Dondajewska-Pielka, Jonathan P. Doubek, Tvrtko Dražina, Hilary A. Dugan, Zorka Dulić, Ashley A. Dunker, Gaël Dur, Brie A. Edwards, Jolanta E. Ejsmont-Karabin, Mariam Elmarsafy, Zeynep Ersoy, Rocio Fernandez, Heidrun Feuchtmayr, Maria Soledad Fontanarrosa, Elena Forasacco, László G.-Tóth, Evelyn E. Gaiser, Gideon Gal, Anita Galir, Javier R. Garcia de Souza, Scott F. Girdner, Ryszard Goldyn, K. David Hambright, David P. Hamilton, Lars-Anders Hansson, Susan P. Hendricks, Huihuang Chen, Pascal M. Isumbisho, Stéphan Jacquet, Jun Yang, Martin J. Kainz, Maciej Karpowicz, Samiullah Khan, Katarzyna Kowalczewska-Madura, Natalia Kuczyńska-Kippen, Silke Langenheder, Sarah D. Lawhun, Barbara Leoni, Fabio Lepori, Shuqi Lin, Arni H. Litt, Eleanor B. Mackay, Marina M. Manca, Shin-ichiro S. Matsuzaki, Blake Matthews, Linda May, Yvonne R. McElarney, Christopher J. McLimans, Rosemberg F. Menezes, Ewa Merz, Evangelia Michaloudi, S. Jannicke Moe, Dörthe C. Müller-Navarra, Manuel E. Muñoz-Colmenares, Kayden C. Nasworthy, Veronica Nava, Jens C. Nejstgaard, Ulrike Obertegger, David A. Ortiz, Luis A. Oseguera, Michael J. Paterson, Maria Cintia Piccolo, Lorena Pinheiro-Silva, Roberta Piscia, Francesco Pomati, Serena Rasconi, Brian L. Reid, Leonardo L. Ribeiro, Florencia M. Rojas Molina, Joanna Rosińska, Lars G. Rudstam, James A. Rusak, Olga O. Rusanovskaya, Nico Salmaso, Jouko Sarvala, S. Geoffrey Schladow, Anna G. Schmidt, Anne E. Scofield, Facundo Scordo, Jaromír Sed'a, Katie J. Senft, Kirill Shchapov, Svetlana V. Shimaraeva, Eugene A. Silow, Maria Špoljar, Dietmar Straile, Silva M. Sundberg, Jon N. Sweetman, Celia C. Symons, Andrew J. Tanentzap, Barbara Tartarotti, Stephen J. Thackeray, Jan-Erik Thrane, Maxim A. Timofeyev, Jörg Tittel, Pablo Urrutia-Cordero, Piet Verburg, Danielle Machado Vieira, Heather L. Wander, Shohei Watanabe, James M. Watkins, David S. White, Sabine Wollrab, Vivian Yorojo Moreno, Horacio E. Zagarese, Matiss Zagars, Petr Znachor","doi":"10.1002/lol2.70152","DOIUrl":null,"url":null,"abstract":"<p>Zooplankton transfer substantial energy in aquatic food webs and are used as indicators of environmental change. Syntheses of zooplankton community dynamics globally require datasets that span a wide range of environmental gradients; however, these datasets are limited due to methodological differences across programs, taxonomic inconsistencies, and a lack of standardized metadata. To reconcile these challenges, we created the Zooplankton International Geospatial (ZIG) dataset, which includes original zooplankton, water physical and chemical variables, and lake morphometric data from 311 inland lakes and reservoirs. ZIG includes waterbodies ranging in size from 0.005 to 82,100 km<sup>2</sup> and spanning broad latitudinal (−47.26 to 64.90) and longitudinal ranges (−165.04 to 176.53). Temporal coverage for individual waterbodies ranges between 1 and 60 yr with sampling frequency ranging from annually to weekly. With its extensive coverage and content, we consider ZIG to be a cornerstone for future investigations of global scale lake biodiversity change.</p>","PeriodicalId":18128,"journal":{"name":"Limnology and Oceanography Letters","volume":"11 5","pages":""},"PeriodicalIF":7.3000,"publicationDate":"2026-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/lol2.70152","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Limnology and Oceanography Letters","FirstCategoryId":"93","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/lol2.70152","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"LIMNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Zooplankton transfer substantial energy in aquatic food webs and are used as indicators of environmental change. Syntheses of zooplankton community dynamics globally require datasets that span a wide range of environmental gradients; however, these datasets are limited due to methodological differences across programs, taxonomic inconsistencies, and a lack of standardized metadata. To reconcile these challenges, we created the Zooplankton International Geospatial (ZIG) dataset, which includes original zooplankton, water physical and chemical variables, and lake morphometric data from 311 inland lakes and reservoirs. ZIG includes waterbodies ranging in size from 0.005 to 82,100 km2 and spanning broad latitudinal (−47.26 to 64.90) and longitudinal ranges (−165.04 to 176.53). Temporal coverage for individual waterbodies ranges between 1 and 60 yr with sampling frequency ranging from annually to weekly. With its extensive coverage and content, we consider ZIG to be a cornerstone for future investigations of global scale lake biodiversity change.
浮游动物在水生食物网中传递大量能量，并被用作环境变化的指标。全球浮游动物群落动态的综合需要跨越大范围环境梯度的数据集；然而，这些数据集由于不同程序的方法差异、分类不一致和缺乏标准化元数据而受到限制。为了应对这些挑战，我们创建了国际浮游动物地理空间（ZIG）数据集，其中包括来自311个内陆湖泊和水库的原始浮游动物、水物理和化学变量以及湖泊形态测量数据。ZIG包括大小为0.005至82,100 km 2的水体，横跨广泛的纬度（- 47.26至64.90）和纵向范围（- 165.04至176.53）。单个水体的时间覆盖范围为1年至60年，采样频率从每年到每周不等。由于ZIG的广泛覆盖和内容，我们认为ZIG将成为未来全球尺度湖泊生物多样性变化研究的基石。
期刊介绍：
Limnology and Oceanography Letters (LO-Letters) serves as a platform for communicating the latest innovative and trend-setting research in the aquatic sciences. Manuscripts submitted to LO-Letters are expected to present high-impact, cutting-edge results, discoveries, or conceptual developments across all areas of limnology and oceanography, including their integration. Selection criteria for manuscripts include their broad relevance to the field, strong empirical and conceptual foundations, succinct and elegant conclusions, and potential to advance knowledge in aquatic sciences.
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