The FRB in action
Project ended in 2026
FresH2O ZOOPS
Synthesizing patterns and drivers of changes in lake zooplankton community dynamics worldwide
Global change is a threat to biodiversity. Syntheses of plant and animal community dynamics from local to global spatial scales, developed with comprehensive, long-term data, are needed to understand how biodiversity loss is likely to impair ecosystem function and the services they provide.
Long-term data series for inland waters remain alarmingly under-represented and under-funded. To better address the recognized biodiversity crisis in fresh waters, the project team has assembled the most comprehensive dataset on freshwater zooplankton—microscopic animals absolutely vital to healthy freshwater aquatic ecosystems.
Using the dataset and team science approach, the project team will meet several times over two years to answer four linked, timely questions about freshwater zooplankton dynamics related to global changes in freshwater biodiversity. Research and analyses will be published in peer-reviewed journals and reports. The continued use of the data set and analyses beyond the end of the project will be facilitated by developing a user-friendly dataset and interface with parallel open access outputs to serve other researchers, educators, and resource managers.
RESEARCHERS
PIs:
Rosalie BRUEL – Office Français de la Biodiversité (France),
Stephanie FIGARY – Cornell University (USA),
Michael MEYER – USGS, Observing System Division (USA),
Rachel PILLA – Oak Ridge National Laboratory, Environmental Sciences Division (USA) ,
Jason STOCKWELL – University of Vermont (USA)
ouvrir/fermer
Participants:
The FresH20 Zoops project brings together specialists in limnology and aquatic ecology, ecosystem management, geography, biogeochemistry, remote sensing, modeling, data science and analysis, and computer science, with a team science approach to integrate information and knowledge across disciplines.
THE PROJECT
See also the project presentation on the John Wesley Powell Center for Analysis and Synthesis website
Publications
[01] Figary SE, Meyer MF, Pilla RM, Currie WJS, Alcocer J, Alfonso MB, Andrews CM, Anneville O, Antão‐Geraldes AM, Arnott SE, Ban S, Banerjee A, Bernát G, Beyer JE, Blank K, Bowen KL, Brönmark C, Bruel R, Burnet SH, Butts TJ, Carey CC, Caroni R, Chakrabarty M, Chandra S, Christoffersen KS, Cortés A, Crispim MC, De Eyto E, Cardoso LDS, Deemer BR, DeGasperi CL, DeMattei BC, Deng J, Descy J, Dimante‐Deimantovica I, Diovisalvi N, Dondajewska‐Pielka R, Doubek JP, Dražina T, Dugan HA, Dulić Z, Dunker AA, Dur G, Edwards BA, Ejsmont‐Karabin JE, Elmarsafy M, Ersoy Z, Fernandez R, Feuchtmayr H, Fontanarrosa MS, Forasacco E, G.‐Tóth L, Gaiser EE, Gal G, Galir A, Garcia De Souza JR, Girdner SF, Goldyn R, Hambright KD, Hamilton DP, Hansson L, Hendricks SP, Chen H, Isumbisho PM, Jacquet S, Yang J, Kainz MJ, Karpowicz M, Khan S, Kowalczewska‐Madura K, Kuczyńska‐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, McLimans CJ, Menezes RF, Merz E, Michaloudi E, Moe SJ, 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, Rosińska J, Rudstam LG, Rusak JA, Rusanovskaya OO, Salmaso N, Sarvala J, Schladow SG, Schmidt AG, Scofield AE, Scordo F, Sed'a J, Senft KJ, Shchapov K, Shimaraeva SV, Silow EA, Špoljar M, Straile D, Sundberg SM, Sweetman JN, Symons CC, Tanentzap AJ, Tartarotti B, Thackeray SJ, Thrane J, Timofeyev MA, Tittel J, Urrutia‐Cordero P, Verburg P, Vieira DM, Wander HL, Watanabe S, Watkins JM, White DS, Wollrab S, Moreno VY, Zagarese HE, Zagars M & Znachor P (2026) The Zooplankton International Geospatial dataset: A global repository of spatiotemporal freshwater zooplankton community composition data from lakes and reservoirs to support ecological research. Limnology and Oceanography Letters, 11, e70152. DOI: 10.1002/lol2.70152.
Co-funded by:
