ReviewiScience2026
Social science for climate-resilient grasslands: Strategies to support individual and systemic adaptation.
Review in iScience, 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Climate change interacts with existing stressors and contributes to the degradation and transformation of grassland ecosystems in the Great Plains of the United States, posing challenges for human communities in the region. Understanding the human dimensions of grassland systems is essential for developing adaptation responses that sustain grassland ecosystems and rural livelihoods. To address this need, we conducted a narrative-style review of social science research in the Great Plains, including anthropology, economics, sociology, political science, psychology, and communication studies. We present a novel application of a behavioral economics framework to grassland management, identifying nine social-science-backed strategies that conservation professionals can apply to advance climate adaptation through individual (
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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.