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Climate change vulnerability assessment in Georgia
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“The broad inclusion of stakeholders in policy decision-making and implementation is particularly important in addressing the needs of communities in Georgia that are more vulnerable to climate change (59), including people at risk due to their locations, available services, and economic situations (60).”
From A framework for localizing global climate solutions and their carbon reduction potential (2021) · cites this paper as [59]
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Metadata
- Authors
- KC, B., Shepherd, J. M., & Gaither, C. J.
- Affiliations
- University of Georgia (US)
- US Forest Service (US)
- Corresponding author
- KC, Binita
- Venue
- Applied Geography
- Publisher
- Elsevier BV
- Published
- 2015-08
- Volume
- 62
- Pages
- 62-74
- ISSN
- 0143-6228 (ISSN-L)
- OpenAlex
- W2152881008
- Cited by
- 116
- References
- 104
- Citations by year
- 2026: 6 · 2025: 12 · 2024: 17 · 2023: 11 · 2022: 12 · 2021: 13 · 2020: 11 · 2019: 12 · 2018: 7 · 2017: 7 · 2016: 3 · 2015: 5
- FWCI
- 6.01
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Applied Geography (publishedVersion)
- Funders
- U.S. Forest Service
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate Change and Environmental Impact
- Social Sciences › Sociology and Political Science › Disaster Management and Resilience
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Keywords
- climate change vulnerability, Georgia, extreme hydroclimatic events, drought, floods, heat waves, adaptive capacity, impervious surfaces, flood susceptibility, land cover, temperature and precipitation anomalies
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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