Limnology  and oceanography letters 11, e70152. 2026.  

New publication: The  Zooplankton international geospatial  dataset: A global repository of spatiotemporal fresh water zooplankton  community composition data from  lakes and reservoirs to support ecological research.

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 pro grams, taxonomic inconsistencies, and a lack of standardized metadata. To reconcile these challenges, we cre ated 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.


Figary SE, Meyer MF, Pilla RM , Currie WJS, Alcocer J, Alfonso MB, Andrews CM, Anneville O,  Antao-Geraldes AM, Arnott SE, Ban S, Banerjee A, Bernat G,  Beyer JE, Blank K, Bowen KL, Bruel C, Burnet SH,  Butts TJ, Carey CC, Caroni R, Chakrabarty M, Chandra S, KS Christoffersen, Cortés A, Crispim MC, de Eyto E,  De Souza Cardoso L, Deemer BR, De Gasperi CL, De Mattei B, Deng J,  Descy JP, Dimante-Deimantovica I, Diovisalvi N, Dondajewska-Pielka R,  Doubek JP ,  Drazina T, Dugan HA, Dulic Z, Dunker AA, Dur G, Edwards BA, Ejsmont-Karabin JE, Elmarsafy M, Ersoy Z, Fernandez R, Feuchtmayr H, Fontanarrosa MS, Forasacco E, G.-Toth L, Gaiser EE, Gal G, Galir A, Garcia de Souza JR, Girdner SF, Goldyn  R, Hambright KD, Hamilton DP,  Hansson LA, Hendricks SP, Chen H, Isumbisho PM, Jacquet S, Yang J, Kainz MJ, Karpowicz MJ, Khan S, Kowalczewska-Madura K, Kuczynska-Kippen N, Langenheder S, Lawhun SD, Leoni B, Lepori F, Lin S, Litt AH, Mackay EB, Manca MM, Matsuzaki SS, Matthews B, May L, McElarney YR, Mc Limans CJ, Menezes RF, Merz E, Michaloudi E, Moe J, Müller-Navarra DC, Muñoz-Colmenares ME, Nasworthy KC, Nava V, Nejstgaard JC, Obertegger U , Ortiz DA , Oseguera LA, Paterson  MJ, Piccolo MC, Pinheiro-Silva L, Piscia R, Pomati F, Rasconi S, Reid BL, Ribeiro LL, Rojas Molina FM, Rosinska J, Rudstam LG, Rusak JA, Rusanovskaya OO,  Salmaso N,  Sarvala J, Schladow G, Schmidt AG, Scofield AE, Scordo F, Sed’a J, Senft KJ, Shchapov   Shimaraeva SV, Silow EA, Spoljar M, Straile D, Sundberg SM, Sweetman JN, Symons CC, Tanentzap AJ, Tartarotti B, Thackeray SJ, Thrane JE ,Timofeyev MA, Tittel J, Urrutia-Cordero P,Verburg, Machado Vieira D, Wander HL, Watanabe S, Watkins JM, White DS, Wollrab S, Yorojo Moreno V, Zagarese HE, Zagars M, Znachor P.The  Zooplankton international geospatial  dataset: A global repository of spatiotemporal fresh water zooplankton  community composition data from  lakes and reservoirs to support ecological research. Limnology  and oceanography letters 11, e70152. 2026.  https://doi.org/10.1002/lol2.70152