Leaf reflectance can surrogate foliar economics better than physiological traits across macrophyte species
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1746-4811
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Leaf reflectance can surrogate foliar economics better than physiological traits across macrophyte species ; volume:17 ; number:1 ; day:10 ; month:11 ; year:2021 ; pages:1-16 ; date:12.2021
Plant methods ; 17, Heft 1 (10.11.2021), 1-16, 12.2021
- Creator
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Villa, Paolo
Bolpagni, Rossano
Pinardi, Monica
Tóth, Viktor R.
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s13007-021-00816-4
- URN
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urn:nbn:de:101:1-2022012221321972327287
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:38 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Villa, Paolo
- Bolpagni, Rossano
- Pinardi, Monica
- Tóth, Viktor R.
- SpringerLink (Online service)
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Understanding and predicting macrophyte occurrence: Mission Impossible?
Absorption of foliar-applied phosphorus : significance of leaf surface and foliar solute formulation properties
Leaf decomposition of the macrophyte Eichhornia azurea and associated microorganisms and invertebrates
Evaluating potential of leaf reflectance spectra to monitor plant genetic variation
HYPERBLEND: SIMULATING SPECTRAL REFLECTANCE AND TRANSMITTANCE OF LEAF TISSUE WITH BLENDER
Leaf reflectance and functional traits as environmental indicators of urban dust deposition
A Leaf‐Patchable Reflectance Meter for In Situ Continuous Monitoring of Chlorophyll Content
Heritable variation of foliar spectral reflectance enhances genomic prediction of hydrogen cyanide in a genetically structured population of eucalyptus
HyperART: non-invasive quantification of leaf traits using hyperspectral absorption-reflectance-transmittance imaging
Identification of plant leaf phosphorus content at different growth stages based on hyperspectral reflectance
Estimating peanut and soybean photosynthetic traits using leaf spectral reflectance and advance regression models
Phytochemical analysis of Ziziphus jujube leaf at different foliar ages based on widely targeted metabolomics
Understanding and predicting macrophyte occurrence: Mission Impossible?
Absorption of foliar-applied phosphorus : significance of leaf surface and foliar solute formulation properties
Leaf decomposition of the macrophyte Eichhornia azurea and associated microorganisms and invertebrates
Evaluating potential of leaf reflectance spectra to monitor plant genetic variation
HYPERBLEND: SIMULATING SPECTRAL REFLECTANCE AND TRANSMITTANCE OF LEAF TISSUE WITH BLENDER
Leaf reflectance and functional traits as environmental indicators of urban dust deposition
A Leaf‐Patchable Reflectance Meter for In Situ Continuous Monitoring of Chlorophyll Content
Heritable variation of foliar spectral reflectance enhances genomic prediction of hydrogen cyanide in a genetically structured population of eucalyptus
HyperART: non-invasive quantification of leaf traits using hyperspectral absorption-reflectance-transmittance imaging
Identification of plant leaf phosphorus content at different growth stages based on hyperspectral reflectance
Estimating peanut and soybean photosynthetic traits using leaf spectral reflectance and advance regression models
Phytochemical analysis of Ziziphus jujube leaf at different foliar ages based on widely targeted metabolomics