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History matters: ecometrics and integrative climate change biology

Climate change research is increasingly focusing on the dynamics among species, ecosystems and climates. Better data about the historical behaviours of these dynamics are urgently needed. Such data are already available from ecology, archaeology, palaeontology and geology, but their integration into climate change research is hampered by differences in their temporal and geographical scales. One productive way to unite data across scales is the study of functional morphological traits, which can form a common denominator for studying interactions between species and climate across taxa, across ecosystems, across space and through time—an approach we call ‘ecometrics’. The sampling methods that have become established in palaeontology to standardize over different scales can be synthesized with tools from community ecology and climate change biology to improve our understanding of the dynamics among species, ecosystems, climates and earth systems over time. Developing these approaches into an integrative climate change biology will help enrich our understanding of the changes our modern world is undergoing.
- University of Applied Sciences Rapperswil Switzerland
- University of Bern Switzerland
- University of Bergen Norway
- Hochschule Mittweida Germany
- University of California
560, Climate Change, Population Dynamics, Adaptation, Biological, Biological Evolution, 333, Species Specificity, Animals, ddc:560, Review Articles, Ecosystem, ddc: ddc:560
560, Climate Change, Population Dynamics, Adaptation, Biological, Biological Evolution, 333, Species Specificity, Animals, ddc:560, Review Articles, Ecosystem, ddc: ddc:560
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).87 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).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
