ArticleGlobal change biology2026
Predicting Coral Cover Trends From Local to Broad Spatial Scales.
Article in Global change biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Modern biodiversity monitoring programs are designed to provide rapid assessments of trends in the abundance and distribution of keystone taxa and timely scientific insights for decision-making. An important consideration when delivering this information to stakeholders is the quantification of uncertainty, which determines the robustness of detecting changes across habitats and regions. In coral reef science, sparse and fragmented monitoring datasets hinder assessments of reef habitat changes. We introduce a comprehensive prediction framework for estimating trends in hard coral cover and associated uncertainty at a local scale (5 km
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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 OpenQuestion graph.