ReviewGlobal change biology2025
Research Bias in Long-Term Monitoring of Antarctic Nearshore Marine and Terrestrial Biota.
Review in Global change biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- The state of knowledge on four families of Syngnathoidei fishes (Teleostei: Syngnathiformes): Aulostomidae, Centriscidae, Fistulariidae and Solenostomidae.Journal of fish biology · 2026Review
- Higher variability of bacterial communities across space than over time in Antarctic lakes, and contrasting assembly processes.Applied and environmental microbiology · 2025Article
- Research Bias in Long-Term Monitoring of Antarctic Nearshore Marine and Terrestrial Biota.Global change biology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Long-term observations are essential for ecological research, providing insights into species and ecosystem variability, processes, and responses to change. In a time of rapid global change, ecosystem modification, and emerging threats, such long-term monitoring (LTM) is increasingly important. Antarctica is experiencing an unprecedented change that is potentially challenging for its uniquely adapted flora and fauna. This review synthesizes LTM studies of Antarctic nearshore and terrestrial biota, examining monitored species, sites, biological parameters, and environmental factors. LTM of Antarctic biota was limited (< 140 studies) and strongly biased toward charismatic megafauna (> 60% focused on penguins and marine mammals). More than half of the studies spanned > 10 years, ~80% exceeded 5 years, and ~60% included environmental data to inform biological trends. Inconsistencies in methodologies were noted, which limit the capacity for cross-study comparisons. Changes in local and regional species' abundances, distributions, and/or functions were reported for many of the biota groups examined. LTM efforts were concentrated along the West Antarctic Peninsula, with notable gaps across East Antarctica, reflecting the varied accessibility across the continent. Based on the limitations and gaps identified in this review, we recommend LTM of Antarctic nearshore and terrestrial ecosystems should expand to include understudied key ecosystems and locations, use harmonized protocols to ensure data are comparable, and integrate environmental monitoring at biologically relevant scales. Establishing sentinel sites and facilitating international collaboration and data sharing would be a powerful approach to circum-Antarctic monitoring. LTM is essential not only for documenting and predicting ecological responses in Antarctica but also for informing global understanding of ecosystem resilience under climate change-providing critical data for conservation, management, and policy in a rapidly transforming world.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.