ReviewEcology and evolution2026
Extending Trait-Based Ecology Across Disciplines in the Face of Global Change.
Review in Ecology and evolution, 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
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Trait-based ecology has been successful in linking organismal traits to ecological responses under environmental change and to their effects on ecosystem processes, offering a conceptual foundation with promise for translation across disciplines. Human-induced environmental changes-climate change, land use alterations, biotic community shifts, and pollution-impact life, physical, health, and socio-economic systems. Addressing these global change impacts requires an interdisciplinary approach to improve policy and management. However, predicting responses to global changes remains challenging due to cross-system complexity. We propose a trait-based approach, encompassing attributes important to the responsiveness of different systems across disciplines as an effective solution to overcome barriers for cross-system communication. This paper reviews literature on traits central to global change sciences, highlighting their interdisciplinary links. We present examples where a trait-based approach connects life, physical, social, and health sciences disciplines, spatial scales, and levels of organization. We propose a trait-based framework for bridging science disciplines by using pathways that connect global change drivers and traits. This framework aims to offer a comprehensive perspective integrating multiple system hierarchies, thereby guiding interdisciplinary research to mitigate environmental threats to society.
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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.