4.6 Article Proceedings Paper

The Landscape Evolution Observatory: A large-scale controllable infrastructure to study coupled Earth-surface processes

Journal

GEOMORPHOLOGY
Volume 244, Issue -, Pages 190-203

Publisher

ELSEVIER
DOI: 10.1016/j.geomorph.2015.01.020

Keywords

Zero-order basin; Water cycle; Carbon cycle; Energy balance; Soil weathering; Coevolution

Funding

  1. NSF [EAR-0636043, EAR-1340912]
  2. Water, Environmental, and Energy Solutions (WEES) initiative at the University of Arizona
  3. Office of the Vice President of Research at the University of Arizona
  4. Directorate For Geosciences
  5. Division Of Earth Sciences [1340912] Funding Source: National Science Foundation

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Zero-order drainage basins, and their constituent hillslopes, are the fundamental geomorphic unit comprising much of Earth's uplands. The convergent topography of these landscapes generates spatially variable substrate and moisture content, facilitating biological diversity and influencing how the landscape filters precipitation and sequesters atmospheric carbon dioxide. In light of these significant ecosystem services, refining our understanding of how these functions are affected by landscape evolution, weather variability, and long-term climate change is imperative. In this paper we introduce the Landscape Evolution Observatory (LEO): a large-scale controllable infrastructure consisting of three replicated artificial landscapes (each 330 m(2) surface area) within the climate-controlled Biosphere 2 facility in Arizona, USA. At LEO, experimental manipulation of rainfall, air temperature, relative humidity, and wind speed are possible at unprecedented scale. The Landscape Evolution Observatory was designed as a community resource to advance understanding of how topography, physical and chemical properties of soil, and biological communities coevolve, and how this coevolution affects water, carbon, and energy cycles at multiple spatial scales. With well-defined boundary conditions and an extensive network of sensors and samplers, LEO enables an iterative scientific approach that includes numerical model development and virtual experimentation, physical experimentation, data analysis, and model refinement. We plan to engage the broader scientific community through public dissemination of data from LEO, collaborative experimental design, and community-based model development. (C) 2015 Elsevier B.V. All rights reserved.

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