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Record W4389607433 · doi:10.1111/gcb.17066

Groundwater is a hidden global keystone ecosystem

2023· article· en· W4389607433 on OpenAlexaff
Mattia Saccò, Stefano Mammola, Florian Altermatt, Roman Alther, Rossano Bolpagni, Anton Brancelj, Dávid Brankovits, Cene Fišer, Vasilis Gerovasileiou, Christian Griebler, Simone Guareschi, Grant C. Hose, Kathryn Korbel, Elisabeth Lictevout, Florian Malard, Alejandro Martínez, Matthew L. Niemiller, Anne L. Robertson, Krizler C. Tanalgo, Maria Elina Bichuette, Špela Borko, Traian Brad, Matthew A. Campbell, Pedro Cardoso, Fulvio Celico, Steven J. Cooper, David C. Culver, Tiziana Di Lorenzo, Diana M. P. Galassi, Michelle T. Guzik, Adam Hartland, William F. Humphreys, Rodrigo Lopes Ferreira, Enrico Lunghi, Daniele Nizzoli, Rajeev Raghavan, Zoe T. Richards, Аnа Sofiа P. S. Reboleirа, Melissa M. Rohde, David Sánchez‐Fernández, Susanne I. Schmidt, Mieke van der Heyde, Louise Weaver, Nicole E. White, Maja Zagmajster, Ian D. Hogg, Albert Ruhí, Marthe Monique Gagnon, Morten E. Allentoft, Robert Reinecke

Bibliographic record

VenueGlobal Change Biology · 2023
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGroundwater and Isotope Geochemistry
Canadian institutionsNunavut Arctic College
FundersFundación BiodiversidadUniversität ZürichJavna Agencija za Raziskovalno Dejavnost RSMinisterie van Buitenlandse ZakenConselho Nacional de Desenvolvimento Científico e TecnológicoMinistero dell’Istruzione, dell’Università e della RicercaAustrian Science FundBundesministerium für Bildung und ForschungAcademy of FinlandBiodiversa+European CommissionCurtin University of TechnologyAgence Nationale de la RechercheBelgian Federal Science Policy OfficeDeutsche ForschungsgemeinschaftAgencia Estatal de InvestigaciónFundação para a Ciência e a TecnologiaDipartimenti di EccellenzaSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Science FoundationFundo Regional para a Ciência e TecnologiaVillum Fonden
KeywordsKeystone speciesEcosystemGroundwaterEnvironmental scienceEnvironmental resource managementEcologyGeographyGeologyBiology

Abstract

fetched live from OpenAlex

Groundwater is a vital ecosystem of the global water cycle, hosting unique biodiversity and providing essential services to societies. Despite being the largest unfrozen freshwater resource, in a period of depletion by extraction and pollution, groundwater environments have been repeatedly overlooked in global biodiversity conservation agendas. Disregarding the importance of groundwater as an ecosystem ignores its critical role in preserving surface biomes. To foster timely global conservation of groundwater, we propose elevating the concept of keystone species into the realm of ecosystems, claiming groundwater as a keystone ecosystem that influences the integrity of many dependent ecosystems. Our global analysis shows that over half of land surface areas (52.6%) has a medium-to-high interaction with groundwater, reaching up to 74.9% when deserts and high mountains are excluded. We postulate that the intrinsic transboundary features of groundwater are critical for shifting perspectives towards more holistic approaches in aquatic ecology and beyond. Furthermore, we propose eight key themes to develop a science-policy integrated groundwater conservation agenda. Given ecosystems above and below the ground intersect at many levels, considering groundwater as an essential component of planetary health is pivotal to reduce biodiversity loss and buffer against climate change.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.008

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.042
GPT teacher head0.263
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations123
Published2023
Admission routes1
Has abstractyes

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