Limno‐ <scp>STOICH</scp> : A comprehensive database linking the elemental stoichiometry of organisms with inland aquatic habitats

Abstract All organisms contain carbon, nitrogen, and phosphorus in widely ranging amounts and proportions. Integrating existing datasets enables quantification of this variation at global scales. Such efforts could leverage ecological stoichiometry theory, the study of elemental supply and imbalances in ecological interactions, to connect ecological drivers and taxonomic constraints to ecosystem structure and function. Towards this goal, we developed the Limnology Stoichiometric Traits of Organisms In their Chemical Habitats (Limno‐STOICH) database. The Limno‐STOICH database includes 51,576 observations of organismal elemental stoichiometry from &gt;3100 rivers, lakes, wetlands, and other aquatic ecosystem sites on seven continents, derived from 190+ sources. It also includes extensive spatial and temporal metadata to link elemental stoichiometry with ecosystem type, trophic status, etc., and information on organismal data (body size, taxonomic classifications, stable isotope composition) and water physicochemical parameters. The Limno‐STOICH database sets the stage for significant applications across food web ecology, evolutionary ecology, biogeochemistry, and other disciplines.

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Publication Details

Journal
Limnology and Oceanography Letters
Published
2026-02-11
DOI
https://doi.org/10.1002/lol2.70105
Primary Topic
Isotope Analysis in Ecology
Type
article
Field-Weighted Citation Impact
0.00

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article

Limno‐ STOICH : A comprehensive database linking the elemental stoichiometry of organisms with inland aquatic habitats

Richard F. Piola, Catherine E. Wagner, Nicolás Martyniuk, Darren P. Giling et al.
Limnology and Oceanography Letters
Isotope Analysis in Ecology
article

Limno‐ STOICH : A comprehensive database linking the elemental stoichiometry of organisms with inland aquatic habitats

Richard F. Piola, Catherine E. Wagner, Nicolás Martyniuk, Darren P. Giling, Steve A. Thomas, Sarah M. Collins, Tyler J. Kohler, Katie Hossler, Ross M. Thompson, Garry J. Scrimgeour, Lesley B. Knoll, Gültekin Yilmaz, Tamar Rachamim, Christopher F. Steiner, Linnea A. Rock, Orlando Sarnelle, Jessica R. Corman, John Brazner, Molly S. Costanza‐Robinson, Andrew D. Suchomel, Amy C. Krist, Kevin M. Theissen, Natalie H. Montano, Priscila Oliveira‐Cunha, Fabien Cremona, Kelley A. Fritz, Anne Watson, Claudia Feijoó, Brent J. Bellinger, Carla L. Atkinson, Justin R. Hanisch, Egor Zadereev, Marco J. Cabrerizo, Ursula M. Scharler, Carly R. Olson, Cynthia A. Paszkowski, A. P. Tolomeev, Giri Kattel, Elizabeth Peebles, Ada Pastor, Rebecca L. North, Erik Kristensen, J. S. Kominoski, Benjamin B. Tumolo, Amina L. Mohamed, Rahmat Naddafi, Jonathan B. Shurin, Rosana MAZZONI, Bruce Dudley, A. V. Drobotov, Matthew J. Lundquist, Alexander L. Lewanski, Inés G. Viana, Binbin Wang, Qiting Cai, Eli N. Wess, Andrew Camilleri, Chad Petersen, Halvor M. Halvorson, Baker J. Angstman, Julia S. Keon, Emma D. Neill, Casey Brucker, Kelly Ortega‐Cisneros, Danny C P Lau, Eric K. Moody, Zin'ichi Karube, W. Reilly Farrell, J. Harrison Edwards, Sophie Schuele, Liza Toll, Tjaša Kanduč, Elise Ehlers, Eugenia Zandonà, Takashi Sakamaki, Kayley Porter, Stephen E. MacAvoy, Verónica D. Villanueva, Vinicius Neres‐Lima, Briante L. Najev, Ella Roelofs, Jean‐Pierre Descy
article en

Abstract

Abstract All organisms contain carbon, nitrogen, and phosphorus in widely ranging amounts and proportions. Integrating existing datasets enables quantification of this variation at global scales. Such efforts could leverage ecological stoichiometry theory, the study of elemental supply and imbalances in ecological interactions, to connect ecological drivers and taxonomic constraints to ecosystem structure and function. Towards this goal, we developed the Limnology Stoichiometric Traits of Organisms In their Chemical Habitats (Limno‐STOICH) database. The Limno‐STOICH database includes 51,576 observations of organismal elemental stoichiometry from &gt;3100 rivers, lakes, wetlands, and other aquatic ecosystem sites on seven continents, derived from 190+ sources. It also includes extensive spatial and temporal metadata to link elemental stoichiometry with ecosystem type, trophic status, etc., and information on organismal data (body size, taxonomic classifications, stable isotope composition) and water physicochemical parameters. The Limno‐STOICH database sets the stage for significant applications across food web ecology, evolutionary ecology, biogeochemistry, and other disciplines.

Limnology and Oceanography LettersVol. 11(2)
University of Nebraska–Lincoln (US), University of Iowa (US), University of Wyoming (US), Commonwealth Scientific and Industrial Research Organisation (AU), University of Tasmania (AU), Defence Science and Technology Group (AU), Charles Sturt University (AU), University of Alberta (CA), University of Cape Town (ZA), University of Liège (BE), University of Illinois Urbana-Champaign (US), Southeast Missouri State University (US), University of St. Thomas - Minnesota (US), The University of Melbourne (AU), National University of Luján (AR), University of Pittsburgh (US), University of Alabama (US), Universidad de Granada (ES), University of Southern Denmark (DK), American University (US), University of California, Santa Cruz (US), Wayne State University (US), Estonian University of Life Sciences (EE), Middlebury College (US), Wright State University (US), Florida International University (US), Tohoku University (JP), Cornell University (US), Charles University (CZ), Universitat de Girona (ES), University of Michigan (US), Ruppin Academic Center (IL), Swedish University of Agricultural Sciences (SE), Department of Defence (AU), University of Central Arkansas (US), University of California San Diego (US), Universidade do Estado do Rio de Janeiro (BR), Krasnoyarsk Scientific Center (RU), Instituto Español de Oceanografía (ES), Institute of Biophysics (RU), Jožef Stefan International Postgraduate School (SI), Albury Wodonga Health (AU), Texas Water Development Board (US), Ecological Consulting (Czechia) (CZ), Structural Timber Innovation Company (New Zealand) (NZ), Illinois Archaeological Survey (US), NOAA Great Lakes Environmental Research Laboratory (US), Universidad Nacional del Comahue (AR), University of Missouri (US), University of Otago (NZ), Miami University (US), Universidade Federal do Estado do Rio de Janeiro (BR), Michigan State University (US), Kindai University (JP), University of KwaZulu-Natal (ZA), Marymount Manhattan College (US)
National Science Foundation
Openalex Percentile: Top 63%
Isotope Analysis in Ecology
DOIOpen Access PDFOpenAlex
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