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Measuring and Attributing Sedimentary and Geomorphic Responses to Modern Climate Change: Challenges and Opportunities

doi: 10.1029/2022ef002983
AbstractToday, climate change is affecting virtually all terrestrial and nearshore settings. This commentary discusses the challenges of measuring climate‐driven physical landscape responses to modern global warming: short and incomplete data records, land use and seismicity masking climatic effects, biases in data availability and resolution, and signal attenuation in sedimentary systems. We identify opportunities to learn from historical and paleo data, select especially sensitive study sites, and report null results to better characterize the extent and nuances of climate‐change effects. We then discuss efforts to improve attribution practices, which will lead to better predictive capabilities. We encourage the Earth‐science community to prioritize scientific research on climate‐driven physical landscape changes so that societies will be better prepared to manage the effects on health and safety, infrastructure, water–food–energy security, economics, and ecosystems that follow from climate‐driven physical landscape change.
- University of Mary United States
- National University of Singapore Singapore
- University of Washington Bothell United States
Ecology, sedimentology, landscape change, geomorphology, Environmental sciences, climate change, GE1-350, QH540-549.5
Ecology, sedimentology, landscape change, geomorphology, Environmental sciences, climate change, GE1-350, QH540-549.5
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).13 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
