Energy flow and the “grassification” of desert shrublands
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Abstract
In our directionally and continuously changing world, history still matters, and it does so in increasingly novel and important ways. Human adaptation to global change will rely heavily on robust baselines of historic environmental variability and detailed understanding of how both past and modern ecosystems have responded to both individual and multiple stressors. The question of global change has motivated an upsurge in paleoecological studies that span the late Quaternary and the modern era, and has inspired a growing consideration of time as a fundamental axis in ecology (1). A major challenge in developing pertinent ecological baselines remains how to fuse, into continuous time series, observations and experiments from living systems with paleoecological reconstructions from the same sites (2, 3). Tracing and disentangling complex responses to environmental stress from paleological to present-day communities is especially daunting; for example, how climate change; accelerated land use; and biological invasions are influencing the flows of water, nutrients, and energy. The paper by Terry and Rowe in PNAS (4) is a shining example of how modern ecology and paleoecology can be spliced together to decipher how ecological processes unfold over time scales inaccessible to direct observation or experimentation, and how they can be disrupted by human impacts.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Energy flow and the “grassification” of desert shrublands |
| Series title | Proceedings of the National Academy of Sciences |
| DOI | 10.1073/pnas.1512078112 |
| Volume | 112 |
| Issue | 31 |
| Year Published | 2015 |
| Language | English |
| Publisher | National Academy of Sciences |
| Publisher location | Washington, D.C. |
| Contributing office(s) | National Research Program - Eastern Branch |
| Description | 2 p. |
| First page | 9504 |
| Last page | 9505 |
| Online Only (Y/N) | N |
| Additional Online Files (Y/N) | N |
| Google Analytic Metrics | Metrics page |