Mapping functional diversity from remotely sensed morphological and physiological forest traits
As remote sensing technology improves, it is now possible to map fine-scale variation in plant functional traits. Schneider et al. remotely sense tree functional diversity, validate with field data, and reveal patterns of plant adaptation to the environment previously not retrievable from plot data
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
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Nature Portfolio
2017-11-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-017-01530-3 |
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author | Fabian D. Schneider Felix Morsdorf Bernhard Schmid Owen L. Petchey Andreas Hueni David S. Schimel Michael E. Schaepman |
author_facet | Fabian D. Schneider Felix Morsdorf Bernhard Schmid Owen L. Petchey Andreas Hueni David S. Schimel Michael E. Schaepman |
author_sort | Fabian D. Schneider |
collection | DOAJ |
description | As remote sensing technology improves, it is now possible to map fine-scale variation in plant functional traits. Schneider et al. remotely sense tree functional diversity, validate with field data, and reveal patterns of plant adaptation to the environment previously not retrievable from plot data |
first_indexed | 2024-12-20T20:05:30Z |
format | Article |
id | doaj.art-6fd9403f9d974f27ace82549e5e15503 |
institution | Directory Open Access Journal |
issn | 2041-1723 |
language | English |
last_indexed | 2024-12-20T20:05:30Z |
publishDate | 2017-11-01 |
publisher | Nature Portfolio |
record_format | Article |
series | Nature Communications |
spelling | doaj.art-6fd9403f9d974f27ace82549e5e155032022-12-21T19:27:57ZengNature PortfolioNature Communications2041-17232017-11-018111210.1038/s41467-017-01530-3Mapping functional diversity from remotely sensed morphological and physiological forest traitsFabian D. Schneider0Felix Morsdorf1Bernhard Schmid2Owen L. Petchey3Andreas Hueni4David S. Schimel5Michael E. Schaepman6Remote Sensing Laboratories, Department of Geography, University of ZurichRemote Sensing Laboratories, Department of Geography, University of ZurichDepartment of Evolutionary Biology and Environmental Studies, University of ZurichDepartment of Evolutionary Biology and Environmental Studies, University of ZurichRemote Sensing Laboratories, Department of Geography, University of ZurichJet Propulsion Laboratory, California Institute of TechnologyRemote Sensing Laboratories, Department of Geography, University of ZurichAs remote sensing technology improves, it is now possible to map fine-scale variation in plant functional traits. Schneider et al. remotely sense tree functional diversity, validate with field data, and reveal patterns of plant adaptation to the environment previously not retrievable from plot datahttps://doi.org/10.1038/s41467-017-01530-3 |
spellingShingle | Fabian D. Schneider Felix Morsdorf Bernhard Schmid Owen L. Petchey Andreas Hueni David S. Schimel Michael E. Schaepman Mapping functional diversity from remotely sensed morphological and physiological forest traits Nature Communications |
title | Mapping functional diversity from remotely sensed morphological and physiological forest traits |
title_full | Mapping functional diversity from remotely sensed morphological and physiological forest traits |
title_fullStr | Mapping functional diversity from remotely sensed morphological and physiological forest traits |
title_full_unstemmed | Mapping functional diversity from remotely sensed morphological and physiological forest traits |
title_short | Mapping functional diversity from remotely sensed morphological and physiological forest traits |
title_sort | mapping functional diversity from remotely sensed morphological and physiological forest traits |
url | https://doi.org/10.1038/s41467-017-01530-3 |
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