Foliage biophysical trait prediction from laboratory spectra in Norway spruce is more affected by needle age than by site soil conditions

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00025798%3A_____%2F21%3A00000079" target="_blank" >RIV/00025798:_____/21:00000079 - isvavai.cz</a>

Alternative codes found

RIV/86652079:_____/21:00541742 RIV/00216208:11310/21:10431574 RIV/00216224:14310/21:00121213

Result on the web

<a href="https://www.mdpi.com/2072-4292/13/3/391" target="_blank" >https://www.mdpi.com/2072-4292/13/3/391</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/rs13030391" target="_blank" >10.3390/rs13030391</a>

Result language

angličtina

Original language name

Foliage biophysical trait prediction from laboratory spectra in Norway spruce is more affected by needle age than by site soil conditions

Original language description

Scaling leaf-level optical signals to the canopy level is essential for airborne and satellitebased forest monitoring. In evergreen trees, biophysical and optical traits may change as foliage ages. This study aims to evaluate the effect of age in Norway spruce needle on biophysical trait-prediction based on laboratory leaf-level spectra. Mature Norway spruce trees were sampled at forest stands in ten headwater catchments with different soil properties. Foliage biophysical traits (pigments, phenolics, lignin, cellulose, leaf mass per area, water, and nitrogen content) were assessed for three needle-age classes. Complementary samples for needle reflectance and transmittance were measured using an integrating sphere. Partial least square regression (PLSR) models were constructed for predicting needle biophysical traits from reflectance—separating needle age classes and assessing all age classes together. The ten study sites differed in soil properties rather than in needle biophysical traits. Optical properties consistently varied among age classes; however, variation related to the soil conditions was less pronounced. The predictive power of PLSR models was needle-age dependent for all studied traits. The following traits were predicted with moderate accuracy: needle pigments, phenolics, leaf mass per area and water content. PLSR models always performed better if all needle age classes were included (rather than individual age classes separately). This also applied to needleage independent traits (water and lignin). Thus, we recommend including not only current but also older needle traits as a ground truth for evergreen conifers with long needle lifespan.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20304 - Aerospace engineering

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Remote Sensing

ISSN

2072-4292

e-ISSN

—

Volume of the periodical

13

Issue of the periodical within the volume

3 : 391

Country of publishing house

CH - SWITZERLAND

Number of pages

24

Pages from-to

nestránkováno

UT code for WoS article

000615465600001

EID of the result in the Scopus database

2-s2.0-85100186376