Remotely detected aboveground plant function predicts belowground processes in two prairie diversity experiments-Reference-Cited by-同舟云学术

Remotely detected aboveground plant function predicts belowground processes in two prairie diversity experiments

Published:2021-11-23 Issue:1 Volume:92 Page:
ISSN:0012-9615
Container-title:Ecological Monographs
language:en
Short-container-title:Ecological Monographs

Author:

Cavender‐Bares Jeannine¹^ORCID,Schweiger Anna K.¹²³^ORCID,Gamon John A.⁴⁵⁶^ORCID,Gholizadeh Hamed⁴⁷^ORCID,Helzer Kimberly¹,Lapadat Cathleen¹,Madritch Michael D.⁸^ORCID,Townsend Philip A.⁹^ORCID,Wang Zhihui⁹^ORCID,Hobbie Sarah E.¹^ORCID

Affiliation:

1. Department of Ecology, Evolution, and Behavior University of Minnesota Saint Paul Minnesota 55108 USA

2. Département de Sciences Biologiques Institut de Recherche en Biologie Végétale Université de Montréal Montréal Québec H1X 2B2 Canada

3. Department of Geography Remote Sensing Laboratories University of Zurich Zurich 8057 Switzerland

4. School of Natural Resources University of Nebraska Lincoln Lincoln Nebraska 68583 USA

5. Department of Earth & Atmospheric Sciences University of Alberta Edmonton Alberta T6G 2E3 Canada

6. Department of Biological Sciences University of Alberta Edmonton Alberta AB T6G Canada

7. Department of Geography Center for Applications of Remote Sensing Oklahoma State University Stillwater Oklahoma 74078 USA

8. Department of Biology Appalachian State University Boone North Carolina 28608 USA

9. Department of Forest and Wildlife Ecology University of Wisconsin‐Madison Madison Wisconsin 53706 USA

Funder

National Science Foundation

National Aeronautics and Space Administration

Publisher

Wiley

Subject

Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ecm.1488

Reference106 articles.

1. Legumes are different: Leaf nitrogen, photosynthesis, and water use efficiency

2. Landscape biogeochemistry reflected in shifting distributions of chemical traits in the Amazon forest canopy

3. Invasive species detection in Hawaiian rainforests using airborne imaging spectroscopy and LiDAR

4. Spectral and chemical analysis of tropical forests: Scaling from leaf to canopy levels

5. Airborne spectranomics: mapping canopy chemical and taxonomic diversity in tropical forests

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