Coupling spectral and resource-use complementarity in experimental grassland and forest communities

Author:

Schweiger Anna K.123ORCID,Cavender-Bares Jeannine14ORCID,Kothari Shan34ORCID,Townsend Philip A.5ORCID,Madritch Michael D.6,Grossman Jake J.78ORCID,Gholizadeh Hamed9ORCID,Wang Ran10ORCID,Gamon John A.1011ORCID

Affiliation:

1. Department of Ecology, Evolution and Behavior, University of Minnesota, Saint Paul, MN, USA

2. Remote Sensing Laboratories, Department of Geography, University of Zurich, Zurich, Switzerland

3. Institut de recherche en biologie végétale and département de sciences biologiques, Université de Montréal, Montréal, Québec, Canada

4. Department of Plant and Microbial Biology, University of Minnesota, Saint Paul, MN 55108, USA

5. Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, WI, USA

6. Department of Biology, Appalachian State University, Boone, NC, USA

7. Biology Department, Swarthmore College, Swarthmore, PA, USA

8. Arnold Arboretum of Harvard University, Boston, MA, USA

9. Center for Applications of Remote Sensing, Department of Geography, Oklahoma State University, Stillwater, OK, USA

10. Center for Advanced Land Management Information Technologies (CALMIT), School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE, USA

11. Departments of Earth and Atmospheric Sciences and Biological Sciences, University of Alberta, Edmonton, Alberta, Canada

Abstract

Reflectance spectra provide integrative measures of plant phenotypes by capturing chemical, morphological, anatomical and architectural trait information. Here, we investigate the linkages between plant spectral variation, and spectral and resource-use complementarity that contribute to ecosystem productivity. In both a forest and prairie grassland diversity experiment, we delineated n -dimensional hypervolumes using wavelength bands of reflectance spectra to test the association between the spectral space occupied by individual plants and their growth, as well as between the spectral space occupied by plant communities and ecosystem productivity. We show that the spectral space occupied by individuals increased with their growth, and the spectral space occupied by plant communities increased with ecosystem productivity. Furthermore, ecosystem productivity was better explained by inter-individual spectral complementarity than by the large spectral space occupied by productive individuals. Our results indicate that spectral hypervolumes of plants can reflect ecological strategies that shape community composition and ecosystem function, and that spectral complementarity can reveal resource-use complementarity.

Funder

National Research Council Canada

University of Minnesota

National Science Foundation

National Aeronautics and Space Administration

Alberta Innovates - Technology Futures

Publisher

The Royal Society

Subject

General Agricultural and Biological Sciences,General Environmental Science,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

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