USGS · 70278900
The Zooplankton International Geospatial (ZIG) dataset: A global repository of spatiotemporal freshwater zooplankton community composition data from lakes and reservoirs to support ecological research
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 km 2 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.
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Stephanie E. Figary, Michael Frederick Meyer, Rachel M. Pilla, Warren J. Currie, Javier Alcocer, Maria Belen Alfonso, Caitlin M. Andrews, Orlane Anneville, Ana M. Antao-Geraldes, Shelley E. Arnott, Syuhei Ban, Arnab Banerjee, Gabor Bernat, Jessica E. Beyer, Katlin Blank, Kelly L. Bowen, Christer Brönmark, Rosalie Bruel, Sarah H. Burnet, Tyler J. Butts, Cayelan C. Carey, Rossana Caroni, Moitreyee Chakrabarty, Sudeep Chandra, Kristen S. Christoffersen, Alicia Cortes, 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, Jonathon P. Doubek, Tvrtko Drazina, Hilary A. Dugan, Zorka Dulic, Ashley A. Dunker, Gael Dur, Brie A. Edwards, Jolanta E. Ejsmont-Karabin, Mariam Elmarsafy, Zeynep Ersoy, Rocio Luz Fernandez, Heidrun Feuchtmayr, Maria S. Fontanarrosa, Elena Forasacco, Laszlo G.-Toth, Evelyn E. Gaiser, Gideon Gal, Anita Galir, Javier R. Garcia de Souza, Scott F. Girdner, Ryszard Goldyn, Karl D. Hambright, David P. Hamilton, Lars-Anders Hansson, Susan P. Hendricks, Huihuang Chen, Pascal M. Isumbisho, Stephan 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, Doerthe C. Mueller-Navarra, Manuel E. Muñoz-Colmenares, Kayden Nasworthy, Veronica Nava, Jens C. Nejstgaard, Ulrike Obertegger, David A. Ortiz, Luis A. Oseguera, Michael J. Paterson, Maria C. Piccolo, Lorena Pinheiro-Silva, Roberta Piscia. 2026-08-05. The Zooplankton International Geospatial (ZIG) dataset: A global repository of spatiotemporal freshwater zooplankton community composition data from lakes and reservoirs to support ecological research. https://doi.org/10.1002/lol2.70152
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